Past Seminars

Mon Jul 13

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 13

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Mon Jul 06

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 06

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Mon Jun 29

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 29

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Tue Jun 23

IMA Data Science Lab Seminar

1:25pm - Online
Computational Science for COVID-19 Pandemic Planning and Response
Madhav Marathe, University of Virginia
Abstract:

The ongoing COVID-19 pandemic represents an unprecedented global crisis.
Increased urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make the problem of pandemic planning and control challenging. Recent advances in computing, AI and data science have created new opportunities for realizing the vision of real-time epidemic science.

In this talk, using COVID-19 as an exemplar,
I will describe how computing and data science can play an important
role in developing and assessing pandemic response strategies.

Madhav Marathe is the division director of the Networks Simulation
Science and Advanced Computing Division at the Biocomplexity Institute
and Initiative, and a professor in the Department of Computer Science
at the University of Virginia. His research interests are in network
science, foundations of computing, Human and engineered intelligence
at scale, computational epidemiology, socially coupled system science
and high performance computing. Before joining UVA, he held positions
at Virginia Tech and Los Alamos National Laboratory. He is a Fellow
of the IEEE, ACM, SIAM and AAAS.

Mon Jun 22

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 22

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Mon Jun 15

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 15

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Tue Jun 09

IMA Data Science Lab Seminar

1:25pm - Online
Data and Models for COVID-19 Decision-Making
Forrest Crawford, Yale University
Abstract:

As states begin to reopen, there is an urgent need for
COVID-19 projections that can guide decision-makers in relaxing
restrictions in a way that minimizes the chance of resurgence. Though
researchers have access to a wide variety of mathematical infectious
disease transmission models, limited data and uncertainties about
epidemiological features of COVID-19 make statistical calibration of
these models challenging. Futhermore, decision-makers are often more
interested in future projections under specified re-opening scenarios
than in estimated parameter values. In this presentation, I outline
mathematical and statistical approaches for projecting COVID-19
incidence, hospitalization, and deaths. I describe a simple class of
transmission models that balance parsimony with epidemiological
realism for the epidemic in Connecticut. Using unique access to data
from Connecticut, and information about the Governor's stated
reopening plans, we find that closure of schools and the statewide
“Stay Safe, Stay Home” order have effectively reduced COVID-19
transmission in Connecticut, with model projections estimating
incidence at about 1,500 new infections per day. If close
interpersonal contact increases quickly in Connecticut following
reopening on May 20, the state is at risk of a substantial increase
COVID-19 infections, hospitalizations, and deaths by late Summer 2020.
However, real-time metrics including case counts, hospitalizations,
and deaths may fail to provide enough advance warning to avoid
resurgence. Substantial uncertainty remains in our knowledge of
cumulative COVID-19 incidence, the proportion of infected individuals
who are asymptomatic, infectiousness of children, the effects of
testing and contact tracing on isolation of infected individuals, and
how contact patterns may change following reopening.

Mon Jun 08

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 08

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Mon Jun 01

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 01

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Thu May 28

Analysis and PDE Working Seminar

3:00pm - https://sites.google.com/view/summerseminar
Analysis and PDE Working Seminar
Gianmarco Brocchi, University of Birmingham
Tue May 26

Analysis and PDE Working Seminar

3:35pm - https://sites.google.com/view/summerseminar
Analysis and PDE Working Seminar
&nbsp;<b>&nbsp;</b>Lisa Naples&nbsp;, University of Connecticut
Abstract:

 

Mon May 25

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon May 25

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri May 22

IMA/MCIM Industrial Problems Seminar

1:25pm - Online
AI for COVID-19: An Online Virtual Care Approach
Xavier Amatriain, Curai
Abstract:

With half of the world’s population lacking access to healthcare services, and 30% of the adult population in the US having inadequate health insurance coverage to get even basic access to services, it should have been clear that a pandemic like COVID-19 would strain the global healthcare system way over its maximum capacity. In this context, many are trying to embrace and encourage the use of telehealth as a way to provide safe and convenient access to care. However, telehealth in itself can not scale to cover all our needs unless we improve scalability and efficiency through AI and automation.

In this talk, we will describe how our work on combining latest AI advances with medical experts and online access has the potential to change the landscape in healthcare access and provide 24/7 quality healthcare. Combining areas such as NLP, vision, and automatic diagnosis we can augment and scale doctors. We will describe our work on combining expert systems with deep learning to build state-of-the-art medical diagnostic models that are also able to model the unknowns. We will also show our work on using language models for medical Q&A . More importantly, we will describe how those approaches have been used to address the urgent and immediate needs of the current pandemic.

Xavier Amatriain is co-founder/CTO of Curai, a startup using AI to scale the world’s best healthcare to every human being. Prior to this, he was VP of Engineering at Quora, and Research/Engineering Director at Netflix, where he led the team building the famous Netflix recommendation algorithms. Before going into leadership positions in industry, Xavier was a researcher in both academia and industry. With over 50 publications in different fields, Xavier is best known for his work on machine learning in general and recommender systems in particular. He has lectured at different universities both in the US and Spain and is frequently invited as a speaker and senior committee member at conferences.

Thu May 21

Analysis and PDE Working Seminar

3:35pm - https://sites.google.com/view/summerseminar
Analysis and PDE Working Seminar
Wenjie Lu, University of Minnesota
Tue May 19

IMA Data Science Lab Seminar

1:25pm - Online
Transmission Dynamics of Influenza and SARS-CoV-2: Environmental Determinants, Inference and Forecast
Jeffrey Shaman, Columbia University
Abstract:

Dynamic models of infectious disease systems are often used to study the epidemiological characteristics of disease outbreaks, the ecological mechanisms and environmental conditions affecting transmission, and the suitability of various mitigation and intervention strategies. In recent years these same models have been employed to generate probabilistic forecasts of infectious disease incidence at the population scale. Here I present research from my own group describing investigation of the environmental determinants of influenza transmissibility and development of model systems and combined model-inference frameworks capable of simulation, inference and forecast of disease outbreaks with a particular focus on influenza and SARS-CoV-2.

Mon May 18

Analysis and PDE Working Seminar

3:35pm - https://sites.google.com/view/summerseminar
Analysis and PDE Working Seminar
Jack Burkart, Stony Brook University
Mon May 18

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon May 18

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Tue May 12

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon May 11

Analysis and PDE Working Seminar

3:35pm - https://sites.google.com/view/summerseminar
Analysis and PDE Working Seminar
Guillermo Rey, Wing
Mon May 11

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon May 11

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri May 08

Combinatorics Seminar

3:35pm - the talk will talk place at this Zoom link, at
Troupes and Cumulants
Colin Defant, Princeton
Abstract:

Cumulants are the fundamental combinatorial tools used in noncommutative probability theory. Sequences of free cumulants and sequences of classical cumulants are paired with each other via summation formulas involving partition lattices and noncrossing partition lattices. In several cases, a sequence of free cumulants that counts a set of colored binary plane trees happens to correspond, somewhat miraculously, to a sequence of classical cumulants that counts the decreasing labeled versions of the same trees. We will see that this strange phenomenon holds for families of trees that we call troupes, which are defined using two new operations on colored binary plane trees that we call insertion and decomposition. Troupes also provide a broad framework for generalizing several of the results that are known about West's stack-sorting map. We will hint at just a couple of the many ways in which the investigation of troupes could be extended further. the talk will talk place at this Zoom link, at 3:35 CDT. 

Fri May 08

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri May 08

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri May 08

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri May 08

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri May 08

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar

Thu May 07

Colloquium

3:35pm - VinH 16
Colloquium
Cancelled
Thu May 07

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu May 07

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed May 06

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed May 06

PDE Seminar

3:35pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue May 05

Colloquium

3:30pm - VinH 16
Colloquium

Tue May 05

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue May 05

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue May 05

IMA Data Science Lab Seminar

1:25pm - Lind 305
Lecture
Svetlana Lazebnik, University of Illinois at Urbana-Champaign
Tue May 05

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon May 04

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium
Eric Bonnetier, Université Joseph Fourier
Mon May 04

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon May 04

Analysis and PDE Working Seminar

3:35pm - TBA
Analysis & PDE Working Seminar
Ryan Matzke
Mon May 04

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon May 04

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon May 04

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri May 01

Combinatorics Seminar

3:35pm - Zoom id 391-940-053
Associahedra, Cyclohedra, and inversion of power series
Jose Bastidas
Abstract:

Abstract: Species and Hopf monoids are powerful algebraic tools to study families of combinatorial structures. Aguiar and Ardila introduced the Hopf monoid of generalized permutahedra and realized many combinatorial Hopf monoids as submonoids of generalized permutahedra. They solved the antipode problem for the Hopf monoid of associahedra and explained how the classical Lagrange inversion formula for power series follows from this. In this talk, we bring cyclohedra into the picture. We solve the antipode problem for this new Hopf monoid and use this result to describe inversion in a group of pairs of power series using the face structure of associahedra and cyclohedra. The talk is based on joint work with Marcelo Aguiar (Cornell University).

Fri May 01

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri May 01

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri May 01

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri May 01

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri May 01

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Apr 30

Colloquium

3:35pm - VinH 16
Colloquium
Cancelled
Thu Apr 30

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Apr 30

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Apr 29

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Apr 29

PDE Seminar

3:30pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue Apr 28

Colloquium

3:30pm - VinH 16
Colloquium

Tue Apr 28

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Apr 28

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Apr 28

IMA Data Science Lab Seminar

1:25pm - Lind 305
Detecting New Signals Under Background Mismodeling
Sara Algeri, University of Minnesota, Twin Cities
Abstract:

When searching for new astrophysical phenomena, uncertainty arising from background mismodeling can dramatically compromise the sensitivity of the experiment under study. Specifically, overestimating the background distribution in the signal region increases the chances of missing new physics. Conversely, underestimating the background outside the signal region leads to an artificially enhanced sensitivity and a higher likelihood of claiming false discoveries. The aim of this work is to provide a unified statistical algorithm to perform modeling, estimation, inference and signal characterization under background-mismodeling. The method proposed allows to incorporate the (partial) scientific knowledge available on the background distribution, and provides a data-updated version of it in a purely nonparametric fashion, without requiring the specification of prior distributions. If a calibration sample or control regions are available, the solution discussed does not require the specification of a model for the signal; however, if the signal distribution is known, it allows to further improve the accuracy of the analysis and to detect additional signals of unexpected new sources.

Tue Apr 28

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Apr 27

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Apr 27

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Apr 27

Analysis and PDE Working Seminar

3:35pm - Zoom link. https://umn.zoom.us/j/92809219308
PDE aspects of the Navier-Stokes equations
Dallas Albritton
Abstract:

 This will be an expository talk on PDE aspects of the Navier-Stokes equations.Zoom link. https://umn.zoom.us/j/92809219308  

Mon Apr 27

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 27

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Apr 27

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Apr 24

MCFAM Distinguished Lecture Series

5:30pm - VinH 16
MCFAM Distinguished Lecture Series - Cancelled

Fri Apr 24

Combinatorics Seminar

3:35pm - Zoom ID 391-940-053
Coxeter factorizations and the Matrix Tree theorem with generalized Jucys-Murphy weights
Theo Douvropolous
Abstract:

One of the most far reaching proofs of Cayley's formula, that the number n^{n-2} counts trees on n labeled vertices, is via Kirchhoff's Matrix Tree theorem. After Denes, Schaeffer, and many others, there is a well-exploited correspondence between trees and transitive factorizations in the symmetric group; in particular, the number n^{n-2} counts shortest factorizations of the long cycle (12..n) in transpositions. Furthermore, Burman and Zvonkine (and independently Alon and Kozma) have given a "higher-genus" formula that enumerates arbitrary length factorizations of long cycles, where each transposition (ij) is weighted by its own variable w_ij, and which has a product form involving the eigenvalues of the Laplacian L(K_n) of the complete graph.In joint work with Guillaume Chapuy, we consider a (partial) analog of the weighted Laplacian for complex reflection groups W. The weights are specified via any given flag of parabolic subgroups, generalizing the definition of Jucys-Murphy elements. We prove a product formula for the enumeration of weighted reflection factorizations of Coxeter elements, that subsumes the Chapuy-Stump formula and in part the Burman-Zvonkine formula. Its proof is based on an interesting fact that relates the exterior powers of the reflection representation with those W-characters that are non-zero on the Coxeter class. We present some further applications of these techniques, in particular, a uniform simple(r) way to produce the chain number h^n*n!/|W| of the noncrossing lattice NC(W). An extended abstract for this work was accepted for FPSAC 2020 and is available at my website (https://www.irif.fr/~douvr001/).

Fri Apr 24

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Apr 24

Probability Seminar

2:30pm - Vincent Hall 213
Rotationally invariant \alpha-stable stochastic processes with some membranes located on a given surface
M. Portenko, Institute of mathematics, Nat. Acad. Sci. Ukraine, Kyiv.
Abstract:

Two kinds of singular transformations of a rotationally invariant \alpha-stable process (x(t))_{t \ge 0} in a d-dimensional Euclidean space R^d are considered. They are both connected with the notion of a local time on a given surface S in R d for the process (x(t))_{t \ge 0} (it is supposed that \alpha \in (1, 2) and d \ge 2). The first transformation is determined by a given continuous function (p(x))_{x \in S} with non-negative values and it consists in killing the process (x(t))_{t \ge 0} at a point x \in S with “the intensity p(x)”. This kind of membranes can be called an elastic screen by analogy to that in the theory of diffusion processes. The second transformation is likewise determined by a given function (p(x))_{x \in S} with positive values and its result is the process (x(t))_{t \ge 0} for which any point x \in S is sticky with “the intensity r(x)”. It is shown that each one of these membranes is associated with some initial-boundary value problem for a pseudo-differential equation related to the process (x(t))_{t \ge 0}. These facts are established with the help of some generalization of classical theory of single-layer potentials for situations where, instead of differential, the pseudo-differential equation mentioned above is considered.

Fri Apr 24

2:30pm - Walter B28
Unicode test ?

Fri Apr 24

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Apr 24

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Apr 24

1:00pm - Walter B28
Django22 Test

Abstract:

Testing django 2.2 upgrade

Fri Apr 24

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Apr 23

Colloquium

3:35pm - VinH 16
Colloquium
Cancelled
Thu Apr 23

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Apr 23

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Apr 22

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Apr 22

PDE Seminar

3:30pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue Apr 21

Colloquium

3:30pm - VinH 16
Colloquium

Tue Apr 21

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Apr 21

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Apr 21

IMA Data Science Lab Seminar

1:25pm - Lind 305
LECTURE CANCELED
-, -
Tue Apr 21

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Apr 20

Applied and Computational Math Colloquium

3:35pm - Zoom Meeting: https://umn.zoom.us/j/531493431
Numerical Methods for the Optimal Transport Problem
Brittany Hamfeldt, New Jersey Institute of Technology
Abstract:

The problem of optimal transportation, which involves finding the most cost-efficient mapping between two measures, arises in many different applications. However, the numerical solution of this problem remains extremely challenging and standard techniques can fail to compute the correct solution. Recently, several methods have been proposed that obtain the solution by solving the Monge-Ampere equation, a fully nonlinear elliptic partial differential equation (PDE), coupled to a non-standard implicit boundary condition. Unfortunately, standard techniques for analyzing numerical methods for fully nonlinear elliptic equations fail in this setting. We introduce a modified PDE that couples the usual Monge-Ampere equation to a Hamilton-Jacobi equation that restricts the transportation of mass. This leads to a simple framework for guaranteeing that a numerical method will converge to the true solution, which applies to a large class of approximation schemes. We describe some simple examples. A range of challenging computational examples demonstrate the effectiveness of this method, including the recent application of these methods to problems in beam shaping and seismic inversion.https://umn.zoom.us/j/531493431  

Mon Apr 20

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Apr 20

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis & PDE Working Seminar
Dallas Albritton
Mon Apr 20

Analysis and PDE Working Seminar

3:35pm - Zoom link. https://umn.zoom.us/j/99241065966
Introduction to the Lp theory of stochastic PDEs
&nbsp;Timur Yastrzhembskiy&nbsp;&nbsp;
Abstract:

 I will overview the Lp-theory of parabolic stochastic partial differential equations (SPDEs) on the whole space developed by N.V. Krylov in the 90s. If time permits, I will discuss the well-posedness of SPDEs driven by space-time white noise. Such equations are quite popular in the literature. The talk is aimed at people familiar with the theory of PDEs. Little knowledge of probability is assumed.Zoom link.  https://umn.zoom.us/j/99241065966  

Mon Apr 20

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 20

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Apr 20

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Apr 17

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar
MFM Modeling Workshop Presenations, University of Minnesota
Fri Apr 17

Combinatorics Seminar

3:35pm - Zoom ID 391-940-053
A combinatorial e-expansion of vertical-strip LLT polynomials
Per Alexandersson
Abstract:

In 2019, D'Adderio proved that if G(x;q) is a vertical-strip LLT polynomial, then G(x;q+1) is positive in the elementary symmetric functions basis. A conjectured formula
for the coefficients in this basis was given earlier in 2019 by Alexandersson. We give a new proof of D'Adderio's result which also proves the conjectured formula.

The problem of finding such an e-expansion is surprisingly similar to the still open problem of Shareshian-Wachs, regarding the e-expansion of chromatic polynomials associated with unit-interval graphs. We shall discuss this connection as well.

Fri Apr 17

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Apr 17

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Apr 17

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Apr 17

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Apr 17

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Apr 16

Colloquium

3:35pm - VinH 16
Colloquium

Thu Apr 16

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Apr 16

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Apr 15

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Local Densities of Diagonal Integral Ternary Quadratic Forms at Odd Primes
Edna Jones, Rutgers University
Abstract:

We give formulas for local densities of diagonal integral ternary quadratic forms at odd primes. Exponential sums and quadratic Gauss sums are used to obtain these formulas. These formulas (along
with 2-adic densities and Siegel's mass formula) can be used to compute the representation numbers of certain ternary quadratic forms.

Wed Apr 15

PDE Seminar

3:30pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Wed Apr 15

IMA Data Science Lab Seminar

10:10am - Lind 305
LECTURE CANCELED
Andrea Montanari, Stanford University
Tue Apr 14

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Apr 14

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Apr 14

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Apr 14

IMA Data Science Lab Seminar

1:25pm - Lind 305
LECTURE CANCELED
-, -
Tue Apr 14

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Apr 13

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium - Cancelled
Dio Margetis, Maryland
Mon Apr 13

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Apr 13

Analysis and PDE Working Seminar

3:35pm - Zoom link. https://umn.zoom.us/j/538855343
The boundary value problems in higher codimension
Zanbing Dai
Abstract:

The boundary value problems have been studied for decades. People first studied boundary value problems for the Laplace operator on bounded Lipschitz domains. Using a change of variable argument, we can map Lipschitz domains onto the upper half plane $\mathbb{R}^{d+1}_+$ and converts Laplace operator into a second order elliptic divergence operator, whose coefficient satisfies a certain smoothness condition, the Carleson measure condition. Recently, David, Feneuil and Mayboroda developed an elliptic theory in higher co- dimension. They studied a particular degenerate second order elliptic operator $L={\rm div} A\nabla$. Now, the domain we are interested in has more than one non-tangential direction. In this talk, I will focus on flat domain $\mathbb{R}^n\setminus \mathbb{R}^d$ and introduce the Dirichlet results, which has been proved recently. Finally, I will introduce my project on the regularity problem in higher codimension.

Mon Apr 13

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 13

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Apr 13

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Apr 10

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar Cancelled

Fri Apr 10

Combinatorics Seminar

3:35pm - The talk will take place at https://umn.zoom.us/
Combinatorics Seminar
Brendon Rhoades, UCSD
Abstract:

The {\em Vandermonde determinant} is ubiquitous in algebraic combinatorics and representation theory. One application of the Vandermonde is as a generator for a `harmonic' model of the coinvariant ring attached to the symmetric group which eschews the use of -- and computational issues involved with -- quotient rings. We present an extension of the Vandermonde determinant to {\em superspace} (a symmetric algebra tensor an exterior algebra) and use it to generate a variety of modules including the recently defined `Delta Conjecture coinvariant rings' of Haglund-Rhoades-Shimozono as well as (conjecturally) a trigraded module for the full Delta Conjecture. We use superspace Vandermondes to build bigraded superspace quotients tied to the geometry of {\em spanning configurations} studied by Pawlowski-Rhoades which satisfy a superspace version of Poincar\'e Duality and (conjecturally) exhibit unimodality properties which suggest a superspace version of Hard Lefschetz. Joint with Andy Wilson.

Fri Apr 10

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Apr 10

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Apr 10

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Apr 10

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Apr 10

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Apr 09

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Apr 09

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Apr 09

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Apr 08

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Apr 08

PDE Seminar

3:35pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue Apr 07

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Apr 07

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Apr 07

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Apr 07

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Apr 06

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Apr 06

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Apr 06

Analysis and PDE Working Seminar

3:35pm - VinH 301
Analysis & PDE Working Seminar
Timur Yastrzhembskiy
Mon Apr 06

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 06

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Apr 06

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Apr 03

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar Cancelled

Fri Apr 03

Combinatorics Seminar

3:35pm - Zoom id 391-941-053, available by clicking her
The box-ball system and cyclindric loop Schur functions
Gabe Frieden, UQAM
Abstract:

The box-ball system is a cellular automaton in which a sequence of balls moves along a row of boxes. An interesting feature of this automaton is its soliton behavior: regardless of the initial state, the balls in the system eventually form themselves into connected blocks (solitons) which remain together for the rest of time.

In 2014, T. Lam, P. Pylyavskyy, and R. Sakamoto conjectured a formula which describes the solitons resulting from an initial state of the box-ball system in terms of the tropicalization of certain polynomials they called cylindric loop Schur functions. In this talk, I will describe the various ingredients of this conjecture and discuss its proof.

Fri Apr 03

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Apr 03

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Apr 03

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Apr 03

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Apr 03

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Apr 02

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Apr 02

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Apr 02

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Apr 01

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Apr 01

PDE Seminar

3:35pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue Mar 31

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Mar 31

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Mar 31

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Mar 31

IMA Data Science Lab Seminar

1:25pm - Lind 305
LECTURE CANCELED
-, -
Tue Mar 31

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Mar 30

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Mar 30

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Mar 30

Analysis and PDE Working Seminar

3:35pm - Zoom link. https://umn.zoom.us/j/881291791
Mathematical foundations of slender body theory
Laurel Ohm
Abstract:

Slender body theory (SBT) facilitates computational simulations of thin filaments in a 3D viscous fluid by approximating the hydrodynamic effect of each fiber as the flow due to a line force density along a 1D curve. Despite the popularity of SBT in computational models, there had been no rigorous analysis of the error in using SBT to approximate the interaction of a thin fiber with fluid. In this talk, we develop a PDE framework for analyzing the error introduced by this approximation. In particular, given a 1D force along the fiber centerline, we define a notion of ‘true’ solution to the full 3D slender body problem and obtain an error estimate for SBT in terms of the fiber radius. This places slender body theory on firm theoretical footing. We also present similar estimates in case of free-ended and rigid filaments.

Mon Mar 30

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 30

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Mar 30

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Mar 27

MCFAM Seminar

5:30pm - Vincent Hall 16
Social Determinants of Health
Shae Armstrong, Optum
Abstract:

Bio: https://www.linkedin.com/in/shaearmstrong/

Fri Mar 27

MCFAM Seminar

5:30pm - Vincent Hall 16
No MCFAM Seminar

Fri Mar 27

Combinatorics Seminar

3:35pm - Via Virtual - Zoom
Counting trees and nilpotent endomorphisms
Vic Reiner
Abstract:

A formula of Cayley (1889) says that the number of trees on vertex set [n]:={1,2,...,n} is n^{n-2}. Among its many proofs, my favorite is a gorgeous bijection due to Andre Joyal in 1981. One can also view Cayley's formula as asserting that there are n^{n-1} vertex-rooted trees on [n], or equivalently n^{n-1} eventually constant self-maps on [n].

This talk will review Joyal's proof, and its recent revisitation by Tom Leinster in arXiv:1912.12562. Leinster gives a beautiful q-analogue of the proof, that proves a q-analogous theorem of Fine and Herstein (1958). The latter theorem counts those linear self-maps of an n-dimensional vector space over a finite field F_q which are eventually constant, that is, nilpotent as linear maps.

Fri Mar 27

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis and PDE Working Seminar

Fri Mar 27

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Mar 27

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 27

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Mar 27

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
CANCELED--The Technical and Organizational Challenges of Data Science
Catherine (Katy) Micek, 3M
Abstract:

In October 2012 – shortly after I began my career in the data science space – the Harvard
Business Review published the article “Data Scientist: The Sexiest Job of the 21st Century” and
generated an enormous amount of buzz about the field. Since then, data science has matured:
technical skill sets required to do the work are better defined and specializations are emerging.
However, the field is still evolving and how data science is used by an organization can vary
greatly. In such a dynamic and broadly defined field, it has been my experience that data
scientists need to have a wide range of technical skills augmented by soft skills in order to be
successful. In this talk, I will share my experience working as a predictive modeler, data
scientist, and software developer across various industries (insurance, energy, and within 3M),
as well as provide examples of challenges I’ve encountered as a data scientist. I will also discuss
my work on a Digital Solutions Implementation for 3M’s Knoxville plant, a project where we are
exploring how data science to understand and reduce product variability for Acrylic Foam Tape.

Catherine (Katy) Micek is a Data Scientist at 3M in St. Paul, Minnesota. She holds a Ph.D.
in Applied Mathematics from the University of Minnesota. In her Ph.D. thesis, Katy developed
mathematical models for polymer gel swelling with applications to artificial bone implants and
drug-delivery devices. Katy has worked in both academic and industrial positions since
earning her degree. In addition to teaching college mathematics, she has worked on crossfunctional business teams as a data scientist, software developer, and predictive modeler
teams across diverse industries (insurance, energy, finance, supply chain, and manufacturing).
Katy is also an active speaker and mentor. She is frequently invited to college, universities,
and conferences to discuss her technical work and career experiences in data science, and
she is a contributor to publications by the Society of Industrial and Applied Mathematics on
industrial career options. In her free time, Katy enjoys spending time with friends and family,
as well as ballroom dancing, rock climbing, and cooking.

Fri Mar 27

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Mar 27

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Mar 26

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Mar 26

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Mar 26

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Mar 25

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Mar 25

PDE Seminar

3:35pm - Vincent Hall 570 ,
PDE Seminar - Cancelled

Tue Mar 24

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Mar 24

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Mar 24

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Mar 24

IMA Data Science Lab Seminar

1:25pm - Lind 305
CANCELED--Kernel Approaches in Global Statistical Distances, Local Measure Detection, and Active Learning
-, -
Abstract:

In this talk, we'll discuss the problem of constructing meaningful distances between probability distributions given only finite samples from each distribution. We approach this through the use of data-adaptive and localized kernels, and in a variety of contexts. First, we construct locally adaptive kernels to define fast pairwise distances between distributions, with applications to unsupervised clustering. Then, we construct localized kernels to determine a statistical framework for determining where two distributions differ, with applications to measure detection for generative models. Finally, we'll begin to address the question of measure detection without a priori known labels of which distribution a point came from. This is addressed through active learning, in which one can choose a small number of points at which to query a label. This is ongoing work with Xiuyuan Cheng (Duke) and Hrushikesh Mhaskar (CGU), among others.

Alex Cloninger is an Assistant Professor in the Mathematics Department and the Hal?c?o?lu Data Science Institute at UCSD. He received his PhD in Applied Mathematics and Scientific Computation from the University of Maryland in 2014, and was then an NSF Postdoc and Gibbs Assistant Professor of Mathematics at Yale University until 2017, when he joined UCSD. Alex researches problems around the analysis of high dimensional data. He focuses on approaches that model the data as being locally lower dimensional, including data concentrated near manifolds or subspaces. These types of problems arise in a number of scientific disciplines, including imaging, medicine, and artificial intelligence, and the techniques developed relate to a number of machine learning and statistical algorithms, including deep learning, network analysis, and measuring distances between probability distributions.

Tue Mar 24

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Mar 23

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Mar 23

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Mar 23

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis & PDE Working Seminar

Mon Mar 23

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 23

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Mar 23

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Mar 20

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar - No Seminar

Fri Mar 20

Combinatorics Seminar

3:35pm - Vincent Hall 570
Combinatorics Seminar - Cancelled
Gabriel Frieden
Fri Mar 20

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis and PDE Working Seminar

Fri Mar 20

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Mar 20

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 20

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Mar 20

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
LECTURE CANCELED
Julie Thompson, Boston Scientific
Fri Mar 20

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Mar 20

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar - Cancelled

Thu Mar 19

Colloquium

3:35pm - Vincent Hall 16
Cancelled - Multiscale Geometric Methods for high-dimensional data near > low-dimensional sets
Colloquium Cancelled
Thu Mar 19

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Mar 19

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Mar 19

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Mar 18

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory - Cancelled
Seminar Cancelled
Wed Mar 18

PDE Seminar

3:35pm - Vincent Hall 570 ,
PDE Seminar - Cancelled
Seminar Cancelled
Tue Mar 17

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Mar 17

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Mar 17

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Mar 17

IMA Data Science Lab Seminar

1:25pm - Lind 305
CANCELED--Learning and Geometry for Stochastic Dynamical Systems in High Dimensions
-, -
Abstract:

We discuss geometry-based statistical learning techniques for performing model reduction and modeling of certain classes of stochastic high-dimensional dynamical systems. We consider two complementary settings. In the first one, we are given long trajectories of a system, e.g. from molecular dynamics, and we estimate, in a robust fashion, an effective number of degrees of freedom of the system, which may vary in the state space of then system, and a local scale where the dynamics is well-approximated by a reduced dynamics with a small number of degrees of freedom. We then use these ideas to produce an approximation to the generator of the system and obtain, via eigenfunctions of an empirical Fokker-Planck equation (constructed from data), reaction coordinates for the system that capture the large time behavior of the dynamics. We present various examples from molecular dynamics illustrating these ideas.

In the second setting we only have access to a (large number of expensive) simulators that can return short paths of the stochastic system, and introduce a statistical learning framework for estimating local approximations to the system, that can be (automatically) pieced together to form a fast global reduced model for the system, called ATLAS. ATLAS is guaranteed to be accurate (in the sense of producing stochastic paths whose distribution is close to that of paths generated by the original system) not only at small time scales, but also at large time scales, under suitable assumptions on the dynamics. We discuss applications to homogenization of rough diffusions in low and high dimensions, as well as relatively simple systems with separations of time scales, and deterministic chaotic systems in high-dimensions, that are well-approximated by effective stochastic diffusion-like equations.

Tue Mar 17

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Mar 16

Applied and Computational Math Colloquium

3:35pm - TBA
Applied and Computational Math Colloquium
Mauro Maggioni, Johns Hopkins
Mon Mar 16

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium - Cancelled
Colloquium Cancelled
Mon Mar 16

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Mar 16

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis and PDE Working Seminar - Rescheduled for March 27

Mon Mar 16

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 16

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Mar 16

Topology Seminar

2:30pm - VinH 364
Topology Seminar - TBA
Marcy Robertson, University of Melbourne
Abstract:

TBA

Mon Mar 16

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Mar 13

Combinatorics Seminar

3:35pm - Vincent Hall 570
Combinatorics Seminar
No Seminar - Spring Break
Fri Mar 13

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Mar 13

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 13

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Mar 13

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Mar 13

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
No Seminar
Thu Mar 12

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Mar 12

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Mar 12

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Symplectic Topology

Wed Mar 11

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Mar 10

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Mar 10

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Mar 10

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Mar 10

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Mar 09

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Mar 09

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Mar 09

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis & PDE Working Seminar

Mon Mar 09

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 09

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Mar 09

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Mar 06

Combinatorics Seminar

3:35pm - Vincent Hall 570
Grothendieck Polynomials from Chromatic Lattice Models
Katy Weber
Abstract:

The -Grothendieck polynomials are simultaneous generalizations of Schubert and Grothendieck polynomials that arise in the study of the connective K-theory of the flag variety. They can be calculated as a generating function of combinatorial objects known as pipe dreams, as well as recursively via geometrically-motivated divided difference operators. We combine these two points of view by defining a chromatic lattice model whose partition function is a -Grothendieck polynomial. This is joint work-in-progress with Ben Brubaker, Claire Frechette, Andy Hardt, and Emily Tibor.

Fri Mar 06

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Mar 06

Probability Seminar

2:30pm - Vincent Hall 213
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang, Institute for Advanced Study
Abstract:

The evolution of a deep neural network trained by the gradient descent can be described by its neural tangent kernel (NTK) as introduced by Jacot et al., where it was proven that in the infinite width limit the NTK converges to an explicit limiting kernel and it stays constant during training. The NTK was also implicit in many other recent papers. In the overparametrization regime, a fully-trained deep neural network is indeed equivalent to the kernel regression predictor using the limiting NTK. And the gradient descent achieves zero training loss for a deep overparameterized neural network. However, it was observed by Arora et al. that there is a performance gap between the kernel regression using the limiting NTK and the deep neural networks. This performance gap is likely to originate from the change of the NTK along training due to the finite width effect.  The change of the NTK along the training is central to describe the generalization features of deep neural networks.In the work, we study the dynamic of the NTK for finite width deep fully-connected neural networks. We derive an infinite hierarchy of ordinary differential equations, the neural tangent hierarchy (NTH) which captures the gradient descent dynamic of the deep neural network. Moreover, under certain conditions on the neural network width and the data set dimension, we prove that the truncated hierarchy of NTH approximates the dynamic of the NTK up to arbitrary precision. This is a joint work with Horng-Tzer Yau.

Fri Mar 06

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Mar 06

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Mar 06

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
No Seminar
Thu Mar 05

Colloquium

3:35pm - Vincent Hall 16
Cluster formation and self-assembly in stratified fluids: a novel mechanism for particulate aggregation
Richard McLaughlin, UNC, Chapel HIll
Abstract:

The experimental and mathematical study of the motion of bodies immersed in fluids with variable concentration fields (e.g. temperature or salinity) is a problem of great interest in many applications, including delivery of chemicals in laminar micro-channels, or in the distribution
of matter in the ocean. In this lecture we present some recent experimental and mathematical advances we have made for several such problems. First, we review results on how the shape of a tube can be used to sculpt the profile of chemical delivery in pressure driven laminar shear flows. Then, we explore recent results for the behavior of matter trapped vertically in a variable density water column. For this second problem, we experimentally observe and mathematically model a new attractive mechanism we have found in our laboratory by which particles suspended within stratification may self-assemble and form large aggregates without need for short range binding effects (adhesion). This phenomenon arises through a complex interplay involving solute diffusion, impermeable boundaries, and the geometry of the aggregate, which produces toroidal flows. We show that these flows yield attractive horizontal forces between particles. We experimentally observe that many particles demonstrate a collective motion revealing a system which self-assembles, appearing to solve jigsaw-like puzzles on its way to organizing into a large scale disc-like shape, with the effective force increasing as the collective disc radius grows. We overview our modeling and simulation campaign towards understanding this intriguing dynamics,
which may play an important role in the formation of particle clusters in lakes and oceans.

Thu Mar 05

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Thu Mar 05

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
An invitation to contact homology
Erkao Bao, Scientist at the company Houzz in Palo Alto
Abstract:

Contact homology is an invariant of the contact structure, which is an odd-dimensional counterpart of a symplectic structure. It was proposed by Eliashberg, Givental and Hofer in 2000. The application of contact homology and its variants include distinguishing contact structures, knot invariants, the Weinstein conjecture and generalization, and calculating Gromov-Witten invariants. In this talk, I will start with the notion of contact structures, then give a heuristic definition of the contact homology as an infinite dimensional Morse homology, and finally explain the major difficulties to make the definition rigorous. This is a joint work with Ko Honda.

Wed Mar 04

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Mar 03

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Mar 03

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Mar 03

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Mar 03

IMA Data Science Lab Seminar

1:25pm - Lind 305
“Living” 3D World Models Leveraging Crowd Sourced Data
Jan-Michael Frahm, Facebook
Abstract:

Crowd sourced imagery (images and video) is the richest data source available for 3D reconstruction of the world. The tremendous amounts of available imagery provided by photo/video sharing web sites, not only covers the world’s appearance, but also reflects the temporal evolution of the world, and its dynamic parts. It has long been a goal of computer vision to obtain life like virtual models from such rich imagery. The major current research challenges are the scale of the data, e.g. the Yahoo 100 million-image dataset (only presents a small fraction of what is needed to model our world), the diversity of data modalities (e.g. crowdsourced photos or satellite images), the robustness, the completeness of the registration, and the lack of data for dynamic elements. Specifically, we are currently facing significant challenges to process Internet scale crowd sourced imagery within a reasonable time frame given limited compute resources. This is particularly true as we move toward automatically creating content for virtual and augmented reality. The talk discusses the UNC group’s work on highly efficient image registration for the reconstruction of static 3D models from world-scale photo collections on a single PC in the span of six days, as well as the group’s related work on image-based search to address the scalability. It will also discuss the efforts to overcome the challenges achieving registration completeness and robustness. Additionally, the group’s work towards overcoming the lack of observations for the reconstruction of scene dynamics will be presented. This includes for example, reconstructing people and fountains, using crowd-sourced Flickr imagery and videos to achieve the goal of bringing the 3D models to life will be presented.

Jan-Michael Frahm is a research scientist manager at Facebook and a full professor at the University of North Carolina at Chapel Hill where he heads the 3D computer vision group. He received his Dr.-Ing. in computer vision in 2005 from the Christian-Albrechts University of Kiel, Germany. His dissertation, “Camera Self-Calibration with Known Camera Orientation” received the prize for the best Ph.D. dissertation of the year in CAU’s College of Engineering. His Diploma in Computer Science is from the University of Lübeck. His research interests include a variety of topics on the intersection of computer vision, computer graphics, AR & VR, and robotics. He has over 100 peer-reviewed publications, is a program chair f

Tue Mar 03

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Mar 02

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Mar 02

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Equilibration of aggregation-diffusion equations with weak interaction forces
Ruiwen Shu, University of Maryland
Abstract:

I will talk about the large time behavior of aggregation-diffusion equations. For one spatial dimension with certain assumptions on the interaction potential, the diffusion index $m$, and the initial data, we prove the convergence to the unique steady state as time goes to infinity (equilibration), with an explicit algebraic rate. The proof is based on a uniform-in-time bound on the first moment of the density distribution, combined with an energy dissipation rate estimate. This is the first result on the equilibration of aggregation-diffusion equations for a general class of weakly confining potentials $W(r)$: those satisfying $\lim_{r\rightarrow\infty}W(r)<\infty$.

Mon Mar 02

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 6
Analysis & PDE Working Seminar

Mon Mar 02

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 02

Student Number Theory Seminar

3:25pm - Vincent Hall 570
The Satake equivalence II: The geometric formulation
John O'Brien
Abstract:

We continue our discussion of the Satake equivalence and Langlands dual groups with an introduction to the geometric Satake equivalence. The classical Satake isomorphism establishes an algebra isomorphism between the spherical Hecke algebra of one group G and the Grothendieck group of the category of representations of the dual. We wish for a stronger statement--an equivalence of categories between a categorical analogue of the spherical Hecke algebra of G and the category of representations of the dual of G. The geometric Satake isomorphism establishes this equivalence, using the geometry of the affine Grassmannian of G to construct a suitable "spherical Hecke category" of G. In this talk, we discuss the affine Grassmannian and introduce the tools needed to understand the geometric Satake equivalence.

Mon Mar 02

Topology Seminar

2:30pm - VinH 364
Topology Seminar - TBA
George Shabat, Russian State University for the Humanities
Abstract:

TBA

Mon Mar 02

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Feb 28

MCFAM Seminar

5:30pm - Vincent Hall 16
Environmental, Social and Governance (ESG) in Finance Through the Lens of a Quant
Michael (Zicong) Zhang, Bloomberg LP
Abstract:

If you can't measure it, you can't manage it - Using math tricks in measuring ESG performance.
We will look at the science of scoring, focusing on quant techniques that enable investors to make choices based on meaningful ESG data.

Bio: https://www.linkedin.com/in/michaelzhan/

Fri Feb 28

Combinatorics Seminar

3:35pm - Vincent Hall 570
Generalized snake graphs from orbifolds
Elizabeth Kelley
Abstract:

Cluster algebras, as originally defined by Fomin and Zelevinsky, are characterized by binomial exchange relations. A natural generalization of cluster algebras, due to Chekhov and Shapiro, allows the exchange relations to have arbitrarily many terms. A subset of these generalized cluster algebras can be associated with triangulations of orbifolds, analogous to the subset of ordinary cluster algebras associated with triangulated surfaces. We generalize Musiker-Schiffler-Williams’ snake graph construction for this subset of generalized cluster algebras, yielding explicit combinatorial formulas for the cluster variables. We then show that our construction can be extended to give expansions for generalized arcs on triangulated orbifolds. This is joint work with Esther Banaian.

Fri Feb 28

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Feb 28

Probability Seminar

2:30pm - Vincent Hall 213
Complexity of high dimensional Gaussian random fields with isotropic increments
Qiang Zeng, CUNY
Abstract:

The number of critical points (on the exponential scale) of a random function is a basic question and is commonly called complexity. The notion of locally isotropic random fields (a.k.a. random fields with isotropic increments) was introduced by Kolmogorov in the 1940s. Gaussian random fields on N-dimensional Euclidean spaces with isotropic increments were classified as isotropic case and non-isotropic case by Yaglom in the 1950s. In 2004, Fyodorov computed the large N limit (on the exponential scale) of expected number of critical points for isotropic Gaussian random fields. However, many natural models are not isotropic and only have isotropic increments, which creates new difficulty in understanding the complexity. In this talk, I will present some results on the large N behavior of complexity of non-isotropic Gaussian random fields with isotropic increments. Connection to random matrices will be explained. This talk is based on joint work with Antonio Auffinger (Northwestern University).

Fri Feb 28

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Feb 28

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Some Characteristics of Research in Finance
Onur Ozyesil, Helm.ai
Abstract:

The talk will provide a "naive" depiction of general characteristics of research in finance, together with an attempt to classify various research problems/styles present, in order to give a rough understanding of the landscape of mathematical research in finance. Two examples of research problems will also be discussed to provide a more concrete picture of research problems of interest in the industry.

Fri Feb 28

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Feb 28

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
$\tau$-Factorization and $\tau$-Elasticity
Bethany Kubik, University of Minnesota, Duluth
Abstract:

A more generalized form of factorization, called $\tau$-factorization, was introduced in 2011 by D.D. Anderson and J. Reinkoester. In $\tau$-factorization, all factors of a factorization must belong to the same equivalence class modulo a fixed ideal. We discuss $\tau$-factorization in small settings and $\tau$-elasticity in a more general setting.

Thu Feb 27

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Feb 27

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Wed Feb 26

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Wed Feb 26

Analysis and PDE Working Seminar

3:35pm - Vincent Hall 570
Local stability of the critical Fisher-KPP front via resolvent expansions near the essential spectrum
Montie Avery
Abstract:

We revisit the stability of the critical front in the Fisher-KPP equation, which travels with the linear spreading speed c = 2. We recover a celebrated result of Gallay with a new method, establishing stability of the critical front with optimal decay rate t^(-3/2) as well as an asymptotic description of the perturbation of the front. Our approach is based on studying detailed regularity properties of the resolvent for this problem in algebraically weighted spaces near the branch point in the absolute spectrum, and renders the nonlinear analysis much simpler. We briefly further explore the relationship between the localization of perturbations and their decay rate.

Tue Feb 25

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Feb 25

Colloquium

2:30pm - Vincent Hall 16
Colloquium

Tue Feb 25

Dynamical Systems

2:30pm - Vincent Hall 213
Hyperbolic scattering in the N-body problem
Rick Moeckel, University of Minnesota
Abstract:

It is a classical result that in the N-body problem with positive energy, all solutions are unbounded in both forward and backward time. If all of the mutual distances between the particles tend to infinity with nonzero speed, the solution in called purely hyperbolic. In this case there is a well-defined asymptotic shape of the configuration of N points. We consider the scattering problem for solutions which are purely hyperbolic in both forward and backward time: given an initial shape at time minus infinity, which final shapes at time plus infinity can be reached via purely hyperbolic motions ? I will describe some recent work on this problem using a variation on McGehee's blow-up technique. After a change of coordinates and timescale we obtain a well-defined limiting flow at infinity and use it to get Chazy-type asymptotic estimates on the positions of the bodies and to study scattering solutions near infinity. This is joint work with G. Yu, R. Montgomery and N. Duignan.

Tue Feb 25

IMA Data Science Lab Seminar

1:25pm - Lind 305
Making Small Spaces Feel Large: Practical Illusions in Virtual Reality
Evan Rosenberg, University of Minnesota, Twin Cities
Abstract:

Over the next decade, immersive technologies have the potential to revolutionize how people communicate over distance, how they learn, train, and operate in challenging physical environments, and how they visualize, understand, and make decisions based on an ever-growing landscape of complex data. However, despite rapid technical advances over the past few years and no small amount of media hype, there are numerous theoretical and practical problems yet to be solved before virtual reality can catch up with our imaginations and make good on these promises. Locomotion is one of the most significant interaction challenges because body movement is constrained by the real world. When walking in VR, users may collide with walls or physical obstacles if they attempt to travel outside the boundaries of a "room-scale" space. In this talk, I will present a series of illusory techniques that can overcome these movement limitations by imperceptibly manipulating the laws of physics. This approach, known as redirected walking, has stunning potential to fool the senses. Through a series of formal studies, users have been convinced that were walking along a straight path while actually traveling in a circle, or that they were exploring impossibly large virtual environments within the footprint of a single real-world room. Additionally, I will discuss technical challenges for redirected walking systems and present novel algorithms that can automatically redirect users in complex physical spaces with obstacles.

Evan Suma Rosenberg is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. Previously, he was the Associate Director of the MxR Lab at the Institute for Creative Technologies and a Research Assistant Professor in the Department of Computer Science at the University of Southern California. His research interests are situated at the intersection of virtual/augmented reality and HCI, encompassing immersive technologies, 3D user interfaces, and spatial interaction techniques. He received his Ph.D. from the Department of Computer Science at the University of North Carolina at Charlotte in 2010. Dr. Suma Rosenberg's research has been recognized with multiple best paper awards and has been funded by NSF, ARL, ONR, and DARPA. Over the past decade, he has also directed the development of multiple publicly released free software projects and contributed to an open-source technology initiative that has had a majo

Tue Feb 25

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Feb 24

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium - Canceled
Canceled
Mon Feb 24

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Feb 24

Student Number Theory Seminar

3:35pm - Vincent Hall 570
The Satake equivalence I: The classical formulation
John O'Brien
Abstract:

When studying the representation theory of reductive groups, one runs into a mysterious phenomenon: a certain duality between certain groups. In 1963, Ichir? Satake gave one of the first attempts of
explaining this duality--the Satake isomorphism between the spherical Hecke algebra of one group over a local field with the complexified representation ring of the Langlands dual group. In this duo of talks,
we will discuss two formulations of the Satake equivalence: the classical formulation in terms of algebras, and the more recent geometric formulation in terms of categories related to the affine Grassmannian, an infinite-dimensional space. For this first talk, we will give an overview of the classical formulation.

Mon Feb 24

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Feb 24

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Feb 21

MCFAM Seminar

5:30pm - VinH 16
2020 Winter FM Modeling Workshop Presentations
2020 Financial Mathematics (FM) Modeling Workshop Graduate Students, University of Minnesota
Abstract:

 Two teams of Financial Mathematics graduate students will present the results of their projects completed over an intensive 10-day winter workshop.  The first presentation will be on Data Analysis, Visualization and Statistical/Machine Learning Modeling for Mortgage Prepayment and Delinquency Rates. The Industry Mentor for this project , in attendance for the talk, was: He LuThe second presentation will be on Inflation Rate Curve Modeling.  This project was led by Industry Mentor Matt Abroe.  

Fri Feb 21

Combinatorics Seminar

3:35pm - Vincent Hall 570
Separable elements and splittings of Weyl groups
Yibo Gao, MIT
Abstract:

We introduce separable elements in finite Weyl groups, generalizing the well-studied class of separable permutations. They enjoy nice properties in the weak Bruhat order, enumerate faces of the graph associahedron of the corresponding Dynkin diagrams, and can be characterized by pattern avoidance in the sense of Billey and Postnikov. We then prove that the multiplication map W/V×V?WW/V×V?W for a generalized quotient of the symmetric group is always surjective when V is a principal order ideal, providing the first combinatorial proof of an inequality due originally to Sidorenko in 1991, answering an open problem of Morales, Pak, and Panova. We show that this multiplication map is a bijection if and only if V is an order ideal in the right weak order generated by a separable element, answering an open question of Björner and Wachs in 1988. This is joint work with Christian Gaetz.

Fri Feb 21

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Feb 21

Probability Seminar

2:30pm - Vincent Hall 213
Robust Representation for Graph Data
Dongmian Zou, UMN
Abstract:

Modern data are usually high-dimensional with noise and corruption. A useful representation of data has to be robust and address the data structure. In this talk, I will first present a class of robust models called the scattering transform that can be used to generated features from graph data. In graph scattering transforms, the representation is generated in an unsupervised manner based on graph wavelets. It is approximately invariant to permutations and stable to signal or graph manipulations. Numerical results show that it works effectively for classification and community detection problems. Next, I will address how the structure of data can be found using autoencoders. Indeed, in the framework of autoencoders, graph scattering transform can be applied to the important task of graph generation. Specifically, I will illustrate its application in generating molecular samples.

Fri Feb 21

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Feb 21

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Profiles of Math Careers in the Industry
Martin Lacasse, ExxonMobil
Abstract:

While the majority of PhD students graduating in math and physics end up being employed by the industry, there is relatively little information of career opportunities in the industry being presented to students during their graduate studies. This presentation aims at providing some real examples of career paths for mathematicians in the industry, and describing specific problems being addressed by them. The talk is intended to be an informal discussion around how to better prepare oneself to address the challenges raised by pursuing a career in the industry.

A French-Canadian native, Martin Lacasse completed undergraduate degrees in both chemistry (Montreal) and physics (Concordia) where he graduated first of his promotion. He then studied at McGill University where he earned a M.Sc. and a Ph.D. in Physics, studying problems in statistical mechanics related to critical phenomena and phase transitions using large-scale computers. After his Ph.D., Lacasse moved to Princeton University for a joint post-doctoral fellowship with the Corporate Research Laboratory (CSR) of Exxon Research and Engineering. Shortly after in 1995, he joined the lab and worked on the thermodynamics of polymer interfaces and on the rheology of compressed emulsions. Lacasse is currently leading a team of researchers at CSR modeling the effects of induced seismicity during oil and gas production. His current research interests also include experimental design problems in the field of PDE-constrained optimization and the packing of non-spherical particles. Over the years, Lacasse has been recognized as a leader in high-performance computing.

Fri Feb 21

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Feb 21

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar
TBA
Thu Feb 20

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Feb 20

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Wed Feb 19

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Feb 18

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Feb 18

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Feb 18

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Feb 18

IMA Data Science Lab Seminar

1:25pm - Lind 305
From Clustering with Graph Cuts to Isoperimetric Inequalities: Quantitative Convergence Rates of Cheeger Cuts on Data Clouds
Nicolas Garcia Trillos, University of Wisconsin, Madison
Abstract:

Graph cuts have been studied for decades in the mathematics and computer science communities. For example, a celebrated result in optimization relates the cut minimization problem (under some membership constraints) with a maximum flow problem via the well known max flow-min cut duality theorem. Another very important problem formulated in the computer science community that uses graph cuts is motivated by data clustering: while direct minimization of a graph cut is reasonable as it penalizes the size of interfaces, the optimization is not able to rule out partitions of data into groups that are highly asymmetric in terms of size. In order to avoid trivial partitions, and provide a more reasonable clustering approach, the original optimization of graph cuts is modified by adding an extra balancing term to the objective function in either additive or multiplicative form. A canonical example, with historical motivation, is the so called Cheeger cut problem. Minimization of Cheeger cuts for data clustering is on the one hand intuitively motivated, but on the other, is a highly non-convex optimization problem with a pessimistic NP hard label tamped on it (at least in a worst case scenario setting). Nevertheless, in the past decade or so, several algorithmic improvements made the minimization of Cheeger cuts more feasible, and at the same time there was a renewed interest in studying statistical properties of Cheeger cuts. New analytical ideas have provided new tools to attack problems that were elusive using classical approaches from statistics and statistical learning theory. Despite the advances, several questions remain unanswered.

The purpose of this talk is to present some of these theoretical developments, with emphasis on new results where, for the first time, high probability converge rates of Cheeger cuts of proximity graphs over data clouds are deduced. These quantitative convergence rates are obtained by building bridges between the original clustering problem and another field within the mathematical analysis community that has seen enormous advancements in the past few years: quantitative isoperimetric inequalities. This connection serves as a metaphor for how the mathematical analyst may be able to contribute to answer theoretical questions in machine learning, and how one may be able to deduce statistical properties of solutions to learning optimization problems that have a continuum counterpart.

Tue Feb 18

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Feb 17

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Feb 17

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Direct Sampling Algoritmis in Inverse Scattering
Isaac Harris, Purdue University
Abstract:

In this talk, we will discuss a recent qualitative imaging method referred to as the Direct Sampling Method for inverse scattering. This method allows one to recover a scattering object by evaluating an imaging functional that is the inner-product of the far-field data and a known function. It can be shown that the imaging functional is strictly positive in the scatterer and decays as the sampling point moves away from the scatterer. The analysis uses the factorization of the far-field operator and the Funke-Hecke formula. This method can also be shown to be stable with respect to perturbations in the scattering data. We will discuss the inverse scattering problem for both acoustic and electromagnetic waves.

Mon Feb 17

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Feb 17

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Feb 17

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Feb 14

Combinatorics Seminar

3:35pm - Vincent Hall 570
Combinatorics of the double-dimer model
Helen Jenne, Oregon
Abstract:

In this talk we will discuss a new result about the double-dimer model: under certain conditions, the partition function for double-dimer configurations of a planar bipartite graph satisfies an elegant recurrence, related to the Desnanot-Jacobi identity from linear algebra. A similar identity for the number of dimer configurations (or perfect matchings) of a graph was established nearly 20 years ago by Kuo
and others. We will also explain one of the motivations for this work, which is a problem in Donaldson-Thomas and Pandharipande-Thomas theory that will be the subject of a forthcoming paper with Gautam Webb and Ben Young.

Fri Feb 14

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Feb 14

Probability Seminar

2:30pm - Vincent Hall 213
Order of Fluctuations of the Sherrington-Kirkpatrick Model at Critical Temperature
Wei-Kuo Chen, UMN
Abstract:

I will discuss the order of fluctuations in the Sherrington-Kirkpatrick mean field spin glass model. In particular, I will focus on the predictions concerning the free energy and present an elementary approach for obtaining a logarithmic bound on its variance at the critical temperature.

Fri Feb 14

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Feb 14

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Feb 14

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Tate Resolutions and Horrocks Splitting Criterion
&nbsp;Mahrud Sayrafi&nbsp;&nbsp;, &nbsp;
Abstract:

I will talk about the two papers Eisenbud-Fløystad-Schreyer-2003 and Eisenbud-Erman-Schreyer-2015 in which they introduce Tate resolutions for projective spaces and products of projective spaces. As an application, I will talk about Horrocks' criterion for vector bundles in those settings.

Thu Feb 13

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Feb 13

Special Events and Seminars

2:30pm - Vincent Hall 570
Vector Bundles on the Projective Space
Mahrud Sayrafi, University of Minnesota
Abstract:

I will start with the basics of line bundles and vector bundles in commutative algebra, specifically over the projective space. This is an introduction for the talk on Friday at the Commutative Algebra Seminar about the Tate resolutions for projective spaces and products of projective spaces.

Wed Feb 12

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Feb 11

Colloquium

3:30pm - Vincent Hall 16
Understanding maps between Riemann surfaces
Felix Janda, Institute for Advanced Study in Princeton
Abstract:

Moduli spaces of Riemann surfaces are a fundamental object in algebraic geometry. Their geometry is rich and holds many outstanding mysteries. One way to probe genus g Riemann surfaces is to understand the maps they admit to the simplest Riemann surface, the Riemann sphere. In my talk, I will describe one facet of this approach, a formula for the double ramification cycle (joint work with R. Pandharipande, A. Pixton and D. Zvonkine). Along the way, we will see connections to combinatorics, number theory and symplectic geometry.

Tue Feb 11

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Feb 11

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Feb 11

IMA Data Science Lab Seminar

1:25pm - Lind 305
Function Space Metropolis-Hastings Algorithms with Non-Gaussian Priors
Bamdad Hosseini, California Institute of Technology
Abstract:

Metropolis-Hastings (MH) algorithms are one of the most widely used methods for inference.
However, the convergence properties of these algorithms often deteriorate in high-dimensions
making them unsuitable for Bayesian inverse problems and non-parametric inference where,
in principle, the problem is defined on an infinite-dimensional Hilbert or Banach space.

In this talk we discuss some ideas for designing new MH algorithms that are reversible with
dimension-independent convergence properties. We present a new class of algorithms called
RCAR, that is tailored to priors based on the gamma distribution. We present an application of
RCAR for a deconvolution inverse problem and consider its convergence properties and consistent
approximation.

I am a von Karman instructor in the Department of Computing and Mathematical Sciences at California Institute of Technology, sponsored by Prof. Andrew Stuart. Prior to that I received my Ph.D. in Applied and Computational Mathematics in the Department of Mathematics at Simon Fraser University with of Profs. Nilima Nigam and John Stockie. I work on problems at the interface of probability, statistics and applied mathematics with a particular focus on the analysis, development and application of computational methods for estimating parameters and quantifying uncertainty.

Tue Feb 11

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Feb 10

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Feb 10

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Feb 10

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Feb 10

Student Number Theory Seminar

3:25pm - Vincent Hall 570
The Conditional Probability That an Elliptic Curve Has a Rational Subgroup of Order 5 or 7
Meagan Kenney
Abstract:

Let E be an elliptic curve over the rationals. Divisibility of the set of rational points on E by some integer m can occur locally or globally. If E has global divisibility by m, then E has local divisibility by m; however, work of Katz shows that the converse is only guaranteed up to isogeny. Cullinan and Voight showed that the probability than an elliptic curve has global divisibility by an integer m is non-zero for all integers m allowed by Mazur's classification of rational torsion on elliptic curves. In this talk, I will discuss the probability that E has global divisibility by 5 or 7, given that E has local divisibility by 5 or 7, respectively.

Mon Feb 10

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Feb 07

MCFAM Seminar

5:30pm - Vincent Hall 16
Pricing in Contractual Freight Compared to Finance
Kaisa Taipale, C.H. Robinson
Abstract:

 In this talk, I'll discuss the contractual freight business, in which a large shipper makes a contract with a company like CH Robinson to procure carriers (trucks) for their goods over the course of a year for a given rate, as opposed to using the volatile "spot" or transactional market. Because these year-long contracts aren't legally binding, some shippers treat them more like an American option on the underlying price of freight, but this has game-theoretic economic consequences for the shipper! Dr. Taipale, Data Scientist at C.H. Robinson will also talk about the data science and mathematical skills that are important for her job at C.H. Robinson

 

Bio :  https://www.linkedin.com/in/kaisa-taipale-2630256/detail/contact-info/

Fri Feb 07

Combinatorics Seminar

3:35pm - Vincent Hall 570
Unconditional Reflexive Polytopes
McCabe Olsen, Ohio State
Abstract:

A convex body is unconditional if it is symmetric with respect to reflections in all coordinate hyperplanes. In this paper, we investigate unconditional lattice polytopes with respect to geometric, combinatorial, and algebraic properties. In particular, we characterize unconditional reflexive polytopes in terms of perfect graphs. As a prime example, we study the signed Birkhoff polytope. Moreover, we derive constructions for Gale-dual pairs of polytopes and we explicitly describe Gröbner bases for unconditional reflexive polytopes coming from partially ordered sets. This is joint work with Florian Kohl (Aalto University) and Raman Sanyal (Goethe Universität Frankfurt).

Fri Feb 07

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Feb 07

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Feb 07

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Feb 07

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Feb 07

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
On a question of Dutta, joint with Linquan Ma and Anurag Singh
Uli Walther, Purdue
Abstract:

For a local ring (A,m) of dimension n,we study the natural map from the n-th Koszul cohomology on a minimal set of generators of m to the top local cohomology of A supported at m. We construct complete normal domains for which this map is zero, thus answering a question of Dutta in the negative. If time permits, we present precise information on the kernel of this map for a large class of Stanley-Reisner rings.

Thu Feb 06

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Feb 06

Special Events and Seminars

2:30pm - Vincent Hall 570
Student Commutative Algebra Seminar

Wed Feb 05

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Feb 04

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Feb 04

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Feb 04

Dynamical Systems

2:30pm - Vincent Hall 213
Spectral Stability, the Maslov Index, and Spatial Dynamics
Margaret Beck, Boston University
Abstract:

Understanding the spectral stability of solutions to partial differential equations is an important step in predicting long-time dynamics. Recently, it has been shown that a topological invariant known as the Maslov Index can play an important role in determining spectral stability for systems that have a symplectic structure. In addition, related ideas have lead to a suggested generalization of the notion of spatial dynamics to general, multidimensional spatial domains. In this talk, the notions of spectral stability, the Maslov Index, and spatial dynamics will be introduced and an overview of recent results will be given.

Tue Feb 04

IMA Data Science Lab Seminar

1:25pm - Lind 305
Different Aspects of Registration Problem
Yuehaw Khoo, University of Chicago
Abstract:

In this talk, we discuss several variants of the rigid registration problem, i.e aligning objects via rigid transformation. In the simplest scenario of point-set registration where the correspondence between points are known, we investigate the robustness of registration to outliers. We also study a convex programming formulation of point-set registration with exact recovery, in the situation where both the correspondence and alignment are unknowns. Lastly, an important registration problem arises in Cryo-electron microscopy for protein structuring will be discussed. This talk is based on joint works with Ankur Kapoor, Joe Kileel, Boris Landa, Cindy Orozco, Amit Singer, Nir Sharon, and Lexing Ying.

Yuehaw Khoo is an assistant professor in the statistics department of University of Chicago. Prior to this, he was a post-doc in Stanford and graduate student in Princeton. He is interested in scientific computing problems in protein structure determination and quantum many-body physics. In these problems, he focuses on non-convex, discrete or large scale optimization and representing high-dimensional functions using neural-network and tensor network.

Tue Feb 04

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Feb 03

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
On the final frontiers in computational mathematics
Anders Hansen, Cambridge
Abstract:

Core problems in computational mathematics include computing spectra of operators, solutions to linear PDEs, convex optimisation problems etc., and these areas have been intensely investigated over the last half century. However, there are still fundamental open problems. For example, despite more than 90 years of quantum mechanics, it is still unknown whether it is possible to compute spectra of Schrodinger operators with bounded potentials. Moreover, how to compute minimisers of linear programs (LP) with rational inputs has been known since the 1950s, however, what happens if the input is irrational? Can one accurately compute minimisers of LPs if, as in compressed sensing, the matrix has rows from the discrete cosine transform? Furthermore, do there exist algorithms that can handle all linear Schrodinger PDEs? And, if not, which can be handled and which can never be solved? We will discuss solutions to many of these open problems and provide some potentially surprising results. For example, despite being open for decades, the problem of computing spectra of Schrodinger operators with bounded potentials is not harder than computing spectra of diagonal infinite matrices, the easiest of computational spectral problems. Moreover, for LPs with irrational inputs we have the following phenomenon. For any integer K > 2 there exists a class of well conditioned inputs so that no algorithm can compute K correct digits of a minimiser, however, there exists an algorithm that can compute K-1 correct digits. But any algorithm producing K-1 correct digits will need arbitrarily long time. Finally, computing K-2 correct digits can be done in polynomial time in the number of variables.

Mon Feb 03

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
Applied and Computational Mathematics Seminar

Mon Feb 03

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Feb 03

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Self-adjoint operators and zeta function
Paul Garrett
Abstract:

One hundred years ago, when the theory of self-adjoint operators was
just being developed, Hilbert and Polya independently speculated on
the possibility of using self-adjoint operators (the fact that all
eigenvalues are real) to prove the Riemann Hypothesis. In 1977, a
flawed numerical computation of eigenvalues of the invariant
Laplace-Beltrami operator on the modular curve seemed to indicate that
zeros of zeta appeared as spectral parameters.

Mon Feb 03

Topology Seminar

2:30pm - Vincent Hall 311
Topology Seminar

Fri Jan 31

Combinatorics Seminar

3:35pm - Vincent Hall 570
Weak order and descents for monotone triangles
Vic Reiner
Abstract:

(joint work with Zach Hamaker; arXiv:1809.1057) Monotone triangles are combinatorial objects in bijection with alternating sign matrices, a fascinating generalization of permutation matrices. We will review this connection, and the fact that strong Bruhat order on permutations has a natural extension to monotone triangles. We will then explain an analogous extension of the weak Bruhat order on permutations to monotone triangles. This comes from extending the notions of descents in permutations and the "bubble-sorting" action of the 0-Hecke algebra on permutations to monotone triangles. We will also explain one of our motivations: to give a natural family of shellings for Terwilliger's recently defined order on subsets.

Fri Jan 31

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Jan 31

Probability Seminar

2:30pm - Vincent Hall 213
Near-critical avalanches in 2D frozen percolation and forest fires
Wai-Kit Lam, UMN
Abstract:

We consider (volume-)frozen percolation on the triangular lattice. The model can be described informally as follows. Fix a large integer $N$. Initially, all vertices are vacant. We let clusters grow (vertices become occupied) as long as their volume is strictly smaller than $N$, and they stop growing (they "freeze") when their volume becomes at least $N$. A vertex $v$ is frozen if it belongs to an occupied cluster with volume at least $N$.

In this model, there exists a sequence of "exceptional scales" $(m_k(N))$: roughly speaking, if we consider frozen percolation in a box of side length $m_k(N)$, then as $N\to\infty$, the probability that $0$ is frozen in the final configuration is bounded away from $0$; while if we consider the process in a box of side length that is far from $m_k(N)$ and $m_{k+1}(N)$ (but between them), then as $N\to\infty$, the corresponding probability will go to $0$. The limiting exception scale, $m_\infty(N)$, is not studied and almost nothing is known. In an ongoing project with Pierre Nolin, we show that if we consider the process in a box of side length $m_\infty(N)$, then there are "avalanches" of freezings: the number of frozen circuits surrounding the origin divided by $\log\log{N}$ converges to an explicit constant in probability. If time allows, I will also talk about the analogous result in the forest fire process.

Fri Jan 31

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Jan 31

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
How NextEra Analytics Applies Math to Problems in Coupled Renewable and Energy Storage Systems
Madeline Handschy, NextEra Analytics Inc
Abstract:

Renewable energy sources - solar and wind - are inherently variable, and unlike a traditional power plant, energy generation can't be 'turned up' or 'turned down' at will. In the past several years, the rapidly falling price of Lithium Ion batteries and related technology has made it more feasible than ever to build solar or wind farms coupled with energy storage capabilities to mitigate some of the variability of the renewable resource and provide more control over the energy output of the farm. In this talk, I will give an overview of working at NextEra Analytics and give examples of how we are applying math to operate energy storage projects as well as evaluate potential new renewable + energy storage hybrid projects.

Madeline graduated in May from the University of Minnesota with a PhD in Mathematics co-advised by Drs. Gilad Lerman and Wei-Kuo Chen. She started in the Applied Math Group at NextEra Analytics in June and works primarily on math related to energy storage.

Fri Jan 31

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Jan 31

Commutative Algebra Seminar

12:20pm - Vincent Hall 213
Commutative Algebra Seminar

Thu Jan 30

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Wed Jan 29

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Jan 28

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Jan 28

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Jan 28

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Jan 28

IMA Data Science Lab Seminar

1:25pm - Lind 409
Machine Learning Meets Societal Values
Steven Wu, University of Minnesota, Twin Cities
Abstract:

The vast collection of detailed personal data has enabled machine learning to have a tremendous impact on society. Algorithms now provide predictions and insights that are used to make or inform consequential decisions on people. Concerns have been raised that our heavy reliance on personal data and machine learning might compromise people’s privacy, produce new forms of discrimination, and violate other kinds of social norms. My research seeks to address this emerging tension between machine learning and society by focusing on two interconnected questions: 1) how to make machine learning better aligned with societal values, especially privacy and fairness, and 2) how to make machine learning methods more reliable and robust in social and economic dynamics. In this talk, I will provide an overview of my research and highlight some of my recent work on fairness in machine learning and differentially private synthetic data generation.

Steven Wu is an Assistant Professor of Computer Science and Engineering at the University of Minnesota. His research interests are in algorithms and machine learning, with a focus on privacy-preserving data analysis, algorithmic fairness, and algorithmic economics. From 2017 to 2018, he was a post-doc researcher at Microsoft Research-New York City in the Machine Learning and Algorithmic Economics groups. In 2017, he received his Ph.D. in computer science under the supervision of Michael Kearns and Aaron Roth at the University of Pennsylvania, where his doctoral dissertation received Penn’s Morris and Dorothy Rubinoff Award for best thesis. His research is supported by an Amazon Research Award, a Facebook Research Award, a Mozilla research grant, a Google Faculty Research Award, a J.P. Morgan Research Faculty Award, and the National Science Foundation.

Tue Jan 28

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Jan 27

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Jan 27

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 311
An inverse problem on Light Sheet Fluorescence Microscopy
Benjamin Palacios, University of Chicago
Abstract:

In Light Sheet Fluorescence Microscopy a density of fluorescent material (fluorophores) needs to be reconstructed through a process that consists in the application of a thin sheet of light that stimulates fluorophores, inducing the emission of fluorescent light that is recorderded and which constitute our measurements. In this talk I will present a mathematical model for this two-step process as well as the inverse problem arising from it. Uniqueness and stability of the inverse problem will be discussed.

Mon Jan 27

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jan 27

Student Number Theory Seminar

3:25pm - Vincent Hall 570
Student Number Theory Seminar

Mon Jan 27

Topology Seminar

2:30pm - Vincent Hall 311
Smooth 4-manifolds and the geometry of 3-manifolds
Matthew Stoffregen, MIT
Abstract:

One of the interests of low-dimensional topologists is
understanding which smooth 4-manifolds can bound a given 3-manifold, or,
as a special case, understanding the set of 3-manifolds up to so-called
homology cobordism (to be defined in the talk). This question turns out
to have applications to the study of triangulations of high-dimensional
manifolds, and is a natural proving ground for Floer-theoretic
techniques of studying 3-manifolds. In this talk, we will give some
structure theorems about the homology cobordism group, and show that
there are three-manifolds that are very far from having any of the seven
non-hyperbolic Thurston geometries. This talk includes joint work with
I. Dai, K. Hendricks, J. Hom, L. Truong, and I. Zemke.

Fri Jan 24

MCFAM Seminar

5:30pm - Vincent Hall 16
U of MN Women in Math and Stats Graduate Team - 2019 MinneMUDAC Award Winning Analytics Presentation on Commodity Pricing
Cora Brown, Somyi Baek, Sarah Milstein, and Yu Yang, University of Minnesota
Abstract:

University of Minnesota mathematics and statistics graduate students formed a team called "Women in Math and Stats" and competed in the MinneMUDAC 2019 Challenge. They took 2nd place in a field of 24 teams in the graduate division of the challenge. They also received the Analytic Acumen Award for the 2nd year in a row. This year’s challenge required students to analyze a variety of data to predict trends in soybean prices. Teams were evaluated based on a number of factors, including data preparation, team synergy, and communication of results. Teams in the Undergraduate and Graduate divisions were also scored on the accuracy of their predictions. The challenge and data were curated by Farm Femmes. “We firmly believe that investing in the next generation grows the future,” said Karen Hildebrand, Co-Founder of Farm Femmes. “Some days the seeds we plant are literal as farmers, but MinneMUDAC gave us the opportunity to grow the knowledge of agriculture and agtech.”Members of the team who will presenting include: Cora Brown, Somyi Baek, Sarah Milstein, and Yu Yang. Their faculty advisor was Dr. Gilad Lerman.

Fri Jan 24

Lie Theory Seminar

3:30pm - Vincent Hall 209
Lie Theory Seminar

Fri Jan 24

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 364
Reading Seminar on Automorphic Forms

Fri Jan 24

Special Events and Seminars

1:00pm - Vincent Hall 301
p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions

Fri Jan 24

Commutative Algebra Seminar

12:20pm - VinH 203A
Commutative Algebra Seminar

Thu Jan 23

Colloquium

3:35pm - Vincent Hall 16
Modularity and the Hodge/Tate conjectures for some self-products
Laure Flapan, MIT
Abstract:

If X is a smooth projective variety over a number field, the Hodge and Tate conjectures describe how information about the subvarieties of X is encoded in the cohomology of X. We explore the role that certain automorphic representations, called algebraic Hecke characters, can play in understanding which cohomology classes of X arise from subvarieties. We use this to deduce the Hodge and Tate conjectures for certain self-products of varieties, including some self-products of K3 surfaces. This is joint work with J. Lang.

Wed Jan 22

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Tue Jan 21

Colloquium

3:30pm - Vincent Hall 16
Optimal Transport as a Tool in Analytic Number Theory and PDEs
Stefan Steinerberger, Yale University
Abstract:

Optimal Transport is concerned with the question of how to best move one measure to another (this could be sand on a beach or products from a warehouse to consumers). I will explain the basic definition of Wasserstein distance and then describe how it can be used as a tool to say interesting things in other fields. (1) How to get new regularity statements for classical objects in number theory almost for free (irrational rotations on the torus, quadratic residues in finite fields). (2) How to best distribute coffee shops over downtown Minneapolis. (3) Finally, how to obtain higher dimensional analogues of classical Sturm-Liouville theory: simply put, Sturm-Liouville theory says that eigenfunctions of the operator Ly = -y''(x) +p(x)y(x) (think of sin(kx) and cos(kx)) cannot have an arbitrary number of roots; we present a generalization to higher dimensions that is based on a simple (geometric) inequality.

Tue Jan 21

Special Events and Seminars

3:30pm - Vincent Hall 364
Arithmetic Geometry Seminar

Tue Jan 21

Dynamical Systems

2:30pm - Vincent Hall 213
Dynamical Systems Seminar

Tue Jan 21

IMA Data Science Lab Seminar

1:25pm - Lind 305
Linear Unbalanced Optimal Transport
Matthew Thorpe, University of Cambridge
Abstract:

Optimal transport is a powerful tool for measuring the distances between
signals. However, the most common choice is to use the Wasserstein
distance where one is required to treat the signal as a probability
measure. This places restrictive conditions on the signals and although
ad-hoc renormalisation can be applied to sets of unnormalised measures
this can often dampen features of the signal. The second disadvantage is
that despite recent advances, computing optimal transport distances for
large sets is still difficult. In this talk I will focus on the
Hellinger--Kantorovich distance, which can be applied between any pair
of non-negative measures. I will describe how the distance can be
linearised and embedded into a Euclidean space. The Euclidean distance
in the embedded space is approximately the Wasserstein distance in the
original space. This method, in particular, allows for the application
of off-the-shelf data analysis tools such as principal component
analysis.

This is joint work with Bernhard Schmitzer (TU Munich).

Matthew is a research fellow in the Cantab Capital Institute for the
Mathematics of Information at the University of Cambridge. Prior to that
he was a postdoctoral associate at Carnegie Mellon University and a PhD
student at the University of Warwick. From this coming March he will be
a lecturer (US equivalent Assistant Professor) in Applied Mathematics at
the University of Manchester.

Tue Jan 21

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Jan 20

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Tue Jan 14

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Jan 13

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Tue Jan 07

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Jan 06

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Tue Dec 31

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Dec 30

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Tue Dec 24

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Dec 23

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri Dec 20

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar

Fri Dec 20

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Thu Dec 19

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Dec 19

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
TBA
Thu Dec 19

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Dec 18

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Dec 18

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Tue Dec 17

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Dec 17

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Dec 17

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Dec 16

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Dec 16

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Dec 16

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Dec 13

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar
No Seminar - Final Exams
Fri Dec 13

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Dec 13

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Dec 13

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Thu Dec 12

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Dec 12

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Dec 12

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
TBA
Thu Dec 12

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar

Thu Dec 12

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Dec 11

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Dec 11

PDE Seminar

3:35pm - Vincent Hall 570
Quantitative stochastic homogenization via Malliavin calculus
Antoine Gloria, Sorbonne Université
Abstract:

Abstract: This talk is about stochastic homogenization of linear elliptic equations in divergence form. Let $a(x)=h(G(x))$ be a diffusion coefficient field, where $h$ is a Lipschitz function and $G$ is a Gaussian field (with possibly thick tail). Solutions $u_\varepsilon$ of elliptic equations $-\nabla \cdot a(\cdot/\varepsilon) \nabla u_\varepsilon = \nabla \cdot f$ in $\mathbb R^d$ with such random heterogeneous coefficients $a$ both oscillate spatially and fluctuate randomly at scale $\varepsilon >0$. I will show how suitable quantitative two-scale expansions allow one to reduce the analysis of oscillations and fluctuations of solutions to bounds on the corrector and fluctuations of the homogenization commutator, respectively. The main probabilistic ingredient is Malliavin calculus, and the main analytical ingredient is large-scale elliptic regularity. This is based on joint works with Mitia Duerinckx, Julian Fischer, Stefan Neukamm, and Felix Otto.

Wed Dec 11

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Dec 10

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Dec 10

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Dec 10

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Dec 10

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology Seminar
TBA
Tue Dec 10

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Dec 09

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Gradient Flows: From PDE to Data Analysis
Franca Hoffman, Caltech
Abstract:

Certain diffusive PDEs can be viewed as infinite-dimensional gradient flows. This fact has led to the development of new tools in various areas of mathematics ranging from PDE theory to data science. In this talk, we focus on two different directions: model-driven approaches and data-driven approaches.
In the first part of the talk we use gradient flows for analyzing non-linear and non-local aggregation-diffusion equations when the corresponding energy functionals are not necessarily convex. Moreover, the gradient flow structure enables us to make connections to well-known functional inequalities, revealing possible links between the optimizers of these inequalities and the equilibria of certain aggregation-diffusion PDEs.
In the second part, we use and develop gradient flow theory to design novel tools for data analysis. We draw a connection between gradient flows and Ensemble Kalman methods for parameter estimation. We introduce the Ensemble Kalman Sampler - a derivative-free methodology for model calibration and uncertainty quantification in expensive black-box models. The interacting particle dynamics underlying our algorithm can be approximated by a novel gradient flow structure in a modified Wasserstein metric which reflects particle correlations. The geometry of this modified Wasserstein metric is of independent theoretical interest.

Mon Dec 09

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Dec 09

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Dec 09

Topology Seminar

2:30pm - Ford Hall 110
Topology Seminar
TBA
Mon Dec 09

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Dec 06

MCFAM Seminar

5:30pm - Vincent Hall 16
GUN VIOLENCE: ACTUARIAL ANALYSIS AND MATHEMATICAL MODELING
Kristen Moore, University of Michigan
Abstract:

Firearm deaths and injuries are a significant problem in the United States. Indeed, the American Medical Association recently called firearm violence “a public health crisis” and called for a comprehensive public health response and solution. Gun violence in America exacts a significant toll on our society in both human and economic terms. Some argue that Americans have a moral obligation to address the issue of gun violence. But even from a more concrete perspective, the economic cost of firearms directly impacts the financial outcomes of insurers and taxpayers. There is a clear need for unbiased and objective research on the societal and economic impact of firearms. Actuaries are well positioned to study the mortality and morbidity related to firearms, both to quantify the risk and to inform governmental and public health interventions to mitigate the risk associated with firearms. Yet there is little on the topic in the actuarial and insurance literature. In this talk, I will provide a brief overview on the scope of firearm deaths and injuries and examine the extent to which actuaries and insurance professionals have studied or addressed the issue. I will compare firearm risk to risks that are considered in the underwriting process for life and homeowners insurance. I will describe some existing insurance products related to firearm risk as well as proposed legislation regarding gun liability insurance. In a different vein, if time permits, I will discuss preliminary work on a dynamical systems model of gun violence within a population. We are studying how, in an idealized model, changes to various policy parameters affect the long-term behavior of a system. Finally, I will describe some of the many open questions related to gun violence that are amenable to study by actuaries and mathematicians. Bio: https://sites.lsa.umich.edu/ksmoore/

Fri Dec 06

Lie Theory Seminar

3:35pm - Vincent Hall 1
Special modular forms on exceptional groups
Aaron Pollack, Duke University
Abstract:

Classically, a Siegel modular form is said to be singular or distinguished if many of its Fourier coefficients are 0, in a precise sense. I will explain the construction of singular and distinguished modular forms on the exceptional groups E_6, E_7, E_8. Moreover, time permitting, I will also explain an analogue of the Saito-Kurokawa lift, which produces cusp forms on Spin(8) and the exceptional group G_2 out of holomorphic Siegel modular forms on Sp(4).

Fri Dec 06

Combinatorics Seminar

3:30pm - Vincent Hall 570
A non-iterative formula for straightening fillings of Young diagrams
Reuven Hodges, UIUC
Abstract:

Young diagrams are fundamental combinatorial objects in representation theory and algebraic geometry. Many constructions that rely on these objects depend on variations of a straightening process that expresses a filling of a Young diagram as a sum of semistandard tableaux subject to certain relations. It has been a long-standing open problem to give a non-iterative formula for this straightening process. In this talk I will give such a formula. I will then use this non-iterative formula give a proof that the coefficient of the leading term in the straightening is either 1 or -1, generalizing a theorem of Gonciulea and Lakshmibai.

Fri Dec 06

Probability Seminar

2:30pm - Vincent Hall 311
Gibbsian line ensembles and log-gamma polymers
Xuan Wu, Columbia University
Abstract:

In this talk we will first give an overview of the known
Gibbsian line ensembles in the KPZ universality class. Then we will
construct the discrete log-gamma line ensemble, which is associated
with the log-gamma polymers. This log-gamma line ensemble enjoys a
random walk Gibbs resampling invariance that follows from the
integrable nature of the log-gamma gamma polymer model via the
geometric RSK correspondence. By exploiting such resampling
invariance, we show the tightness of this log-gamma line ensemble
under the weak noise scaling. Furthermore, a Gibbs property, as
enjoyed by the KPZ line ensemble, holds for all subsequential limits.

Fri Dec 06

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Dec 06

Math Biology Seminar

2:30pm - VinH 209
Math Biology Seminar

Fri Dec 06

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Dec 06

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Dec 06

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Lecture
Whitney Moore, University of Minnesota, Twin Cities
Fri Dec 06

IMA Data Science Lab Seminar

1:25pm - Lind 305
Probabilistic Preference Learning with the Mallows Rank Model for Incomplete Data
Arnoldo Frigessi, Oslo University Hospital
Abstract:

Personalized recommendations are useful to assist users in their choices in web-based market places, entertainment engines, information providers. Learning individual preferences is an important step. Users express their preferences by rating, ranking, (possibly inconsistently) comparing, liking and clicking items. Such data contain information about the individual user’s ranking of the items. Click-through data can be seen as (consistent) pair comparisons. The Mallows rank model allows to analyse rank data, but its computational complexity has limited its use to a particular form, based on Kendall’s distance. We developed new computationally tractable methods for Bayesian inference in Mallows models that work with any right-invariant distance. Our method performs inference on the latent consensus ranking of all items and on the individual latent rankings by Bayesian augmentation. Current popular recommendation algorithms are based on matrix factorisations, have high accuracy and achieve good clickthrough rates. However diversity of the recommended items is often poor and most algorithms do not produce interpretable uncertainty quantifications of the recommendations. With a simulation study and real life data examples, we demonstrate that compared to matrix factorisation approaches, our Bayesian Mallows method makes personalized recommendations mpared to matrix factorisation approaches, our Bayesian Mallows method makes personalized recommendations.

Arnoldo Frigessi is professor of statistics at the University of Oslo, leads the Oslo Center for Biostatistics and Epidemiology and is director of BigInsight. BigInsight is a centre of excellence for research-based innovation, a consortium of industry, business, public actors and academia, developing model based machine learning methodologies for big data. Originally from Italy, where he had positions in Rome and Venice, he moved to Norway in 2019 as a researcher at the Norwegian Computing Centre, before he became professor at the University of Oslo.

Frigessi has developed statistical methodology motivated by specific problems in science, technology and industry. He has designed stochastic models to study principles, dynamics and patterns of complex dependence. Inference is usually based on computationally intensive stochastic algorithms. Currently, he has research collaborations in genomics, personalised therapy in cancer, infectious disease models, eHealth research, personalised and viral marketing, s

Thu Dec 05

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Dec 05

Colloquium

3:35pm - Vincent Hall 16
Modular forms on exceptional groups
Aaron Pollack, Duke
Abstract:

When G is a reductive (non-compact) Lie group, one can consider automorphic forms for G. These are functions on the locally symmetric space X_G associated to G that satisfy some sort of nice differential equation. When X_G has the structure of a complex manifold, the _modular forms_ for the group G are those automorphic forms that correspond to holomorphic functions on X_G. They possess close ties to arithmetic and algebraic geometry. For certain exceptional Lie groups G, the locally symmetric space X_G is not a complex manifold, yet nevertheless possesses a very special class of automorphic functions that behave similarly to the holomorphic modular forms above. Building upon work of Gan, Gross, Savin, and Wallach, I will define these modular forms and explain what is known about them.

Thu Dec 05

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
McCleary Philbin, University of Minnesota
Thu Dec 05

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Einstein's gravity and stability of black holes
Pei-Ken Hung, MIT
Abstract:

Though Einstein's fundamental theory of general relativity has already celebrated its one hundredth birthday, there are still many outstanding unsolved problems. The Kerr stability conjecture is one of the most important open problems, which posits that the Kerr metrics are stable solutions of the vacuum Einstein equation. Over the past decade, there have been huge advances towards this conjecture based on the study of wave equations in black hole spacetimes and structures in the Einstein equation. In this talk, I will discuss the recent progress in the stability problems with special focus on the wave gauge.

Wed Dec 04

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Dec 04

PDE Seminar

3:35pm - Vincent Hall 570
Multi-scale analysis of Jordan curves
Benjamin Jaye, Clemson University
Abstract:

In this talk we will describe how one can detect regularity in Jordan curves through analysis of associated geometric square functions. We will particularly focus on the resolution to a conjecture of L. Carleson. Joint work with Xavier Tolsa and Michele Villa (https://arxiv.org/abs/1909.08581).

Wed Dec 04

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Dec 03

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Dec 03

Colloquium

3:30pm - Vincent Hall 16
Mirror symmetry and canonical bases for quantum cluster algebras
Travis Mandel, Univ. of Edinburgh
Abstract:

Mirror symmetry is a phenomenon which relates the symplectic geometry of one space X to the algebraic geometry of another space Y. One consequence is that a canonical basis of regular functions on Y can be defined in terms of certain counts of holomorphic curves in X. I'll discuss the application of this to (quantum) cluster algebras --- certain combinatorially defined algebras whose definition was motivated by the appearance of canonical bases in representation theory and Teichmüller theory.

Tue Dec 03

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Dec 03

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Dec 03

IMA Data Science Lab Seminar

1:25pm - Lind 305
Exploiting Group and Geometric Structures for Massive Data Analysis
Zhizhen (Jane) Zhao, University of Illinois at Urbana-Champaign
Abstract:

In this talk, I will introduce a new unsupervised learning framework for data points that lie on or close to a smooth manifold naturally equipped with a group action. In many applications, such as cryo-electron microscopy image analysis and shape analysis, the dataset of interest consists of images or shapes of potentially high spatial resolution, and admits a natural group action that plays the role of a nuisance or latent variable that needs to be quotient out before useful information is revealed. We define the pairwise group-invariant distance and the corresponding optimal alignment. We construct a graph from the dataset, where each vertex represents a data point and the edges connect points with small group-invariant distance. In addition, each edge is associated with the estimated optimal alignment group. Inspired by the vector diffusion maps proposed by Singer and Wu, we explore the cycle consistency of the group transformations under multiple irreducible representations to define new similarity measures for the data. Utilizing the representation theoretic mechanism, multiple associated vector bundles can be constructed over the orbit space, providing multiple views for learning the geometry of the underlying base manifold from noisy observations. I will introduce three approaches to systematically combine the information from different representations, and show that by exploring the redundancy created artificially across irreducible representations of the transformation group, we can get drastically improved nearest neighbor identification, when a large portion of the true edges are corrupted. I will also show the application in cryo-electron microscopy image analysis.

Tue Dec 03

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
No Seminar
Mon Dec 02

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Towards personalized computer simulation of breast cancer treatment
&nbsp;Arnoldo&nbsp;Frigessi&nbsp;&nbsp;, &nbsp;University of Oslo&nbsp;&nbsp;
Abstract:

Current personalized cancer treatment is based on biomarkers which allow assigning each patient to a subtype of the disease, for which treatment has been established. Such stratifiedpatient treatments represent a first important step away from one-size-fits-all treatment.However, the accuracy of disease classification comes short in the granularity of thepersonalization: it assigns patients to one of a few classes, within which heterogeneity inresponse to therapy usually is still very large. In addition, the combinatorial explosivequantity of combinations of cancer drugs, doses and regimens, makes clinical testingimpossible. We propose a new strategy for personalised cancer therapy, based on producing acopy of the patient’s tumour in a computer, and to expose this synthetic copy to multiplepotential therapies. We show how mechanistic mathematical modelling, patient specificinference and simulation can be used to predict the effect of combination therapies in a breastcancer. The model accounts for complex interactions at the cellular and molecular level, andis able of bridging multiple spatial and temporal scales. The model is a combination ofordinary and partial differential equations, cellular automata and stochastic elements. Themodel is personalised by estimating multiple parameters from individual patient data,routinely acquired, including histopathology, imaging and molecular profiling. The resultsshow that mathematical models can be personalized to predict the effect of therapies in eachspecific patient. The approach is tested with data from five breast tumours collected in arecent neoadjuvant clinical phase II trial. The model predicted correctly the outcome after 12weeks treatment and showed by simulation how alternative treatment protocols would haveproduced different, and some times better, outcomes. This study is possibly the first onetowards personalized computer simulation of breast cancer treatment incorporating relevantbiologically-specific mechanisms and multi-type individual patient data in a mechanistic andmultiscale manner: a first step towards virtual treatment comparison.Xiaoran Lai, Oliver Geier, Thomas Fleischer, Øystein Garred, Elin Borgen, Simon Funke,Surendra Kumar, Marie Rognes, Therese Seierstad, Anne-Lise Børressen-Dale, VesselaKristensen, Olav Engebråten, Alvaro Köhn-Luque, and Arnoldo Frigessi, Tow

Mon Dec 02

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Student Number Theory Seminar
Henry Twiss
Mon Dec 02

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Dec 02

Colloquium

3:35pm - Vincent Hall 570
Analysis and geometry of free boundaries: recent developments
Mariana Smit Vega Garcia, Western Washington University
Abstract:

In the applied sciences one is often confronted with free boundaries, which arise when the solution to a problem consists of a pair: a function u (often satisfying a partial differential equation (PDE)), and a set where this function has a specific behavior. Two central issues in the study of free boundary problems and related problems in calculus of variations and geometric measure theory are:(1) What is the optimal regularity of the solution u?
(2) How smooth is the free boundary (or how smooth is a certain set related to u)?

In this talk, I will overview recent developments in obstacle type problems and almost minimizers of Bernoulli-type functionals, illustrating techniques that can be used to tackle questions (1) and (2) in various settings.

The study of the classical obstacle problem - one of the most renowned free boundary problems - began in the ’60s with the pioneering works of G. Stampacchia, H. Lewy and J. L. Lions. During the past five decades, it has led to beautiful and deep developments in the calculus of variations and geometric partial differential equations. Nowadays obstacle type problems continue to offer many challenges and their study is as active as ever.
While the classical obstacle problem arises from a minimization problem (as many other PDEs do), minimizing problems with noise lead to the notion of almost minimizers. Interestingly, though deeply connected to "standard" free boundary problems, almost minimizers do not satisfy a PDE as minimizers do, requiring additional tools from geometric measure theory to address (1) and (2).

Mon Dec 02

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Dec 02

Topology Seminar

2:30pm - Ford Hall 110
Topology and Arithmetic Statistics
Weiyan Chen, University of Minnesota
Abstract:

Topology studies the shape of spaces. Arithmetic statistics studies the behavior of random algebraic objects such as integers and polynomials. I will talk about a circle of ideas connecting these two seemingly unrelated areas. To illuminate the connection, I will focus on three concrete examples: (1) the Burau representation of the braid groups, (2) analytic number theory for effective 0-cycles on a variety, and (3) cohomology of the space of multivariate irreducible polynomials. These projects are parts of a broader research program, with numerous contributions by topologists, algebraic geometers, and number theorists in the past decade, and lead to many future directions yet to be explored.
(PS. This will be a rehearsal of a job talk accessible to the general audience. Any comments or suggestions are appreciated.)

Mon Dec 02

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Nov 29

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar

Fri Nov 29

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar
No Seminar
Fri Nov 29

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Nov 29

Math Biology Seminar

2:30pm - VinH 209
Math Biology Seminar

Fri Nov 29

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Nov 29

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Thu Nov 28

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Nov 28

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Nov 28

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
TBA
Thu Nov 28

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Nov 27

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Nov 27

PDE Seminar

3:35pm - Vincent Hall 570
Quantitative Absolute Continuity of Harmonic Measure, and the Lp Dirichlet Problem
Steve Hofmann, University of Missouri
Abstract:

For a domain ? ? Rd, quantitative, scale-invariant absolute continuity (more precisely, the weak-A? property) of harmonic measure with respect to surface measure on ??, is equivalent to the solvability of the Dirichlet problem for Laplace’s equation, with data in some Lp space on ??, with p < ?. Drawing an analogy to the famous Wiener criterion, which characterizes the domains in which the classical Dirichlet problem, with continuous boundary data, can be solved, it is of interest to find criteria for Lp solvability, thus allowing for singular boundary data. We shall review known results in this direction, in which (within the past 18 months) a rather complete picture has now emerged.

Wed Nov 27

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Nov 26

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Nov 26

Colloquium

3:35pm - Vincent Hall 16
Schrodinger solutions on sparse and spread-out sets
Xiumin Du, University of Maryland
Abstract:

If we want the solution to the Schrodinger equation to converge to its initial data pointwise, what's the minimal regularity condition for the initial data should be? I will present recent progress on this classic question of Carleson. This pointwise convergence problem is closely related to other problems in PDE and geometric measure theory, including spherical average Fourier decay rates of fractal measures, Falconer's distance set conjecture, etc. All these problems essentially ask how to control Schrodinger solutions on sparse and spread-out sets, which can be partially answered by several recent results derived from induction on scales and Bourgain-Demeter's decoupling theorem.

Tue Nov 26

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Nov 26

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Tue Nov 26

IMA Data Science Lab Seminar

1:25pm - Lind 305
Information Flow and Security Aspects in 1-2-1 Networks
Martina Cardone, University of Minnesota, Twin Cities
Abstract:

In this talk, we will discuss 1-2-1 networks, which offer a simple yet informative model for mmWave networks. In such networks, it is assumed that two nodes can communicate only if they point beams at each other, otherwise the signal is received well below the thermal noise floor. The focus of the talk will be on single unicast 1-2-1 networks, where the communication from a source to a destination is assisted by a number of relays. In the first part of the presentation, we will characterize the maximum flow of information over such 1-2-1 networks. In particular, we will show that the Shannon capacity can be approximated by routing information along a polynomial (in the network size) number of paths between the source and the destination, and that the scheduling of the node beam orientations can be efficiently performed. In the second part of the presentation, we will analyze the security aspect of such 1-2-1 networks in the presence of an external eavesdropper who wiretaps a set of edges of her choice. In particular, we will derive secure capacity results, which highlight fundamental differences between the traditional secure network coding and security over 1-2-1 networks.

Martina Cardone is currently a tenure-track Assistant Professor within the Electrical and Computer Engineering department at the University of Minnesota. She received her B.Sc. and her M.Sc. in Telecommunications Engineering from Politecnico di Torino, Italy in 2009 and 2011, respectively. As part of a double degree program, she also received a M.Sc. degrees in Telecommunications Engineering from Télécom ParisTech, France in 2011. In 2015, she received her Ph.D. in Electronics and Communications from Télécom ParisTech (with work done at Eurecom in Sophia Antipolis, France), where she worked with Professor Raymond Knopp and Professor Daniela Tuninetti. From July 2015 to August 2017 she was a post-doctoral research fellow in the Electrical and Computer Engineering department at the University of California, Los Angeles, where she worked with Professor Christina Fragouli. From November 2017 to January 2018, she was a post-doctoral associate in the Electrical and Computer Engineering department at the University of Minnesota. She regularly serves on the Technical Program Committee of IEEE workshops and conferences. Her main research interests are in network information theory, wireless communications, network privacy and secrecy, network coding and distributed computing. She was the reci

Tue Nov 26

Colloquium

1:25pm - Vincent Hall 570
K-stability and moduli spaces of Fano varieties
Yuchen Liu, Yale University
Abstract:

Fano varieties are positively curved algebraic varieties which form one of the three building blocks in the classification. Unlike the case of negatively curved varieties, moduli spaces of Fano varieties (even smooth ones) can fail to be Hausdorff. K-stability was originally invented as an algebro-geometric notion characterizing the existence of K\"ahler-Einstein metrics on Fano varieties. Recently, people have found strong evidence toward constructing compact Hausdorff moduli spaces of Fano varieties using K-stability. In this talk, I will discuss recent progress in this approach, including an algebraic proof of the existence of Fano K-moduli spaces, and describing these moduli spaces explicitly. This talk is partly based on joint works with H. Blum and C. Xu.

Tue Nov 26

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Nov 25

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Nov 25

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Crystalline cohomology and Katz's conjecture
Shengkai Mao
Abstract:

Crystalline cohomology is a type of Weil cohomology theory that fills in the gap at $p$ in the family of $l$-adic cohomologies. It's introduced by Alexander Grothendieck and developed by Pierre Berthelot. We will briefly discuss what is crystalline cohomology and why we need it. With the help of Frobenius action, we can define a semi-linear morphism on crystalline cohomology which provides a Newton polygon. We will state the Katz's conjecture (which is proved by Mazur and Ogus) (slogan: Newton polygon lies above Hodge polygon) and show some applications (if time permits).

Mon Nov 25

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Nov 25

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Nov 25

Topology Seminar

2:30pm - Ford Hall 110
Topology Seminar
TBA
Mon Nov 25

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Mon Nov 25

Differential Geometry and Symplectic Topology Seminar

10:10am - Vincent Hall 203A
Differential Signatures and Algebraic Curves
Michael Ruddy,, Max Planck Institute
Abstract:

For the action of a group on the plane, the group equivalence problem for curves can be stated as: given two curves, decide if they are related by an element of the group. The signature method, using differential invariants, to answer the local group equivalence problem for smooth curves and its application to image science has been extensively studied. For planar algebraic curves under subgroups of the general linear group, we show that this provides a method to associate a unique algebraic curve to each equivalence class, the algebraic curve's signature curve. However, computing the implicit equation of the signature curve is a challenging problem. In this talk we consider signatures of algebraic curves, show how to compute the degree without computing its defining polynomial explicitly, and present some results on the structure of signature curves for generic algebraic curves of fixed degree. Additionally we show that this leads to a method to solve the group equivalence problem for algebraic curves using numerical algebraic geometry.

Fri Nov 22

MCFAM Seminar

5:30pm - Vincent Hall 16
The impact of negative interest rate policy and its effectiveness of stimulating economic growth
Perry Li, University of Minnesota
Abstract:

According to the Bloomberg Barclays Global Aggregate Index, there were $17 trillion (or 30%) bonds traded with negative yields within that popular fixed income benchmark, at the end of August 2019. Government bonds in Germany, Japan, and Switzerland all carry negative yields - meaning investors will lose money to hold them to maturity. How did we get here? Are those policies introduced by global central banks, after the 2008 financial crisis, effective (to spur inflation)? In this talk, I seek to use some case studies like reserve banking system, asset bubbles, and “currency war” to explore this topic.Bio: https://www.linkedin.com/in/liyuepeng/

Fri Nov 22

Combinatorics Seminar

3:30pm - Vincent Hall 570
A Pieri rule for key polynomials
Danjoseph Quijada, USC
Abstract:

The Pieri rule for the product of a Schur function and a single row Schur function is notable for having an elegant bijective proof that can be intuited by the rule’s concise diagrammatic interpretation, to wit, by appending cells to a Young diagram. Now, key polynomials generalize Schur polynomials to a basis of the full polynomial ring, in which they also refine the Schubert basis via a nice formula. In this talk, I will describe a Pieri rule for the product of a key polynomial and a single row key polynomial that can be analogously interpreted as appending cells to a key diagram, albeit potentially dropping some cells in between each cell addition. I will also outline the main points of the rule’s bijective proof, and in the process hopefully illustrate the utility of understanding the rule from a diagrammatic perspective. Joint work with Sami Assaf.

Fri Nov 22

Special Events and Seminars

3:30pm - Vincent Hall 20
Mass Scale Image Analysis For Automated Plant Phenotyping and Classification via Machine Learning
Riley O'Neill, University of St. Thomas
Abstract:

The capacity to quantify crop architecture and morphology is foundational to the development of higher yielding cultivars via hybridization and genetic engineering. However, at the mass scale required by the science, manual plant phenotyping with physical instruments is arduous, time consuming, subjective, and a leading cause of undergraduate burnout in the UMN plant genetics department. While the process has been slightly improved with manual image analysis, such is almost as time consuming and remains subject to human error. Thereby, in efforts to further expedite phenotyping processes, circumvent human error, and provide more detailed analyses, we aim to completely automate plant phenotyping processes for the UMN plant genetics department and beyond. Working from over 15,000 soybean plants, we’ve advanced robust image processing platforms for measuring petiole and stem length, leaf area, leaf shape via signature curves, and branch angles via energy minimization in 2D, and begun preliminary work at 3D reconstructions from 2D data for 3D branch angles and further analyses. After data extraction and verification, we plan to implement clustering algorithms and machine learning to automatically group plant phenotypes as well as conduct principal component analysis to assemble an allometry space and identify the primary genes of influence.

Fri Nov 22

AMAAZE

3:30pm - Vincent Hall 20
Mass Scale Image Analysis For Automated Plant Phenotyping and Classification via Machine Learning
Riley O'Neill, University of St. Thomas
Abstract:

The capacity to quantify crop architecture and morphology is foundational to the development of higher yielding cultivars via hybridization and genetic engineering. However, at the mass scale required by the science, manual plant phenotyping with physical instruments is arduous, time consuming, subjective, and a leading cause of undergraduate burnout in the UMN plant genetics department. While the process has been slightly improved with manual image analysis, such is almost as time consuming and remains subject to human error. Thereby, in efforts to further expedite phenotyping processes, circumvent human error, and provide more detailed analyses, we aim to completely automate plant phenotyping processes for the UMN plant genetics department and beyond. Working from over 15,000 soybean plants, we’ve advanced robust image processing platforms for measuring petiole and stem length, leaf area, leaf shape via signature curves, and branch angles via energy minimization in 2D, and begun preliminary work at 3D reconstructions from 2D data for 3D branch angles and further analyses. After data extraction and verification, we plan to implement clustering algorithms and machine learning to automatically group plant phenotypes as well as conduct principal component analysis to assemble an allometry space and identify the primary genes of influence.

Fri Nov 22

Probability Seminar

2:30pm - Vincent Hall 311
Spherical spin glass models
Eliran Subag, New York University
Abstract:

How many critical points does a smooth random function on a high-dimensional space typically have at a given height? how are their distances distributed? what is the volume or geometry of the level sets? can we design efficient optimization algorithms for the random function? For the spherical spin glass models, those questions are closely related to the structure of the Gibbs measures, which have been extensively studied in physics since the 70s.

I will start with an overview of the celebrated Parisi formula and ultrametricity property. I will then describe an alternative method to analyze the Gibbs measure using critical points, in the setting of the pure spherical models. Finally, I will explain how the latter can be extended to all spherical models, using another (soft) geometric approach, while at the same time making rigorous and generalizing the famous Thouless-Anderson-Palmer approach from physics.

Fri Nov 22

Math Biology Seminar

2:30pm - VinH 209
Math Biology Seminar

Fri Nov 22

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Nov 22

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Nov 22

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Machine Learning Problems at Target
Mauricio Flores, Target Corporation
Abstract:

PhD and Master's students would likely benefit the most from this talk. There will be some discussion on opportunities at Target.

The introduction of this talk will provide an overview of the AI sciences organization at Target and discuss summer internship opportunities. The remainder of the talk will overview the kinds of machine learning problems Target deals with, and dive into three such problems, in the fields of recommender systems and computer vision.

Mauricio Flores received his PhD in Applied Mathematics from the University of Minnesota in 2018, under the supervision of Jeff Calder & Gilad Lerman. He is currently a Lead AI Scientist at Target, where he builds machine learning as well as computer vision models for visually compatible recommendations, and more recently, for damage detection in Target’s distribution centers.

Thu Nov 21

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Nov 21

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Nov 21

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
Erika Ordog, Duke University
Thu Nov 21

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Geometry of degenerating Calabi-Yau manifolds
Ruobing Zhang, Stony Brook
Abstract:

This talk concerns a family of "collapsing" Ricci-flat Kähler manifolds, namely Calabi-Yau manifolds, converging to a lower dimensional limit, which develop singularities arising in various contexts such as metric Riemannian geometry, complex geometry and degenerating nonlinear equations. A primary aspect is to formulate how well behaved or badly behaved such spaces can be in terms of the recently developed regularity theory. Under the above framework, our next focus is on a longstanding fundamental problem which is to understand singularities of collapsing Ricci-flat metrics along an algebraically degenerating family. We will give accurate characterizations of such metrics and explain possible generalizations.

Thu Nov 21

Topology Seminar

7:00am - Skybox
LOWER (Legs + Butt) @ Skybox - Skybox

Abstract:

https://www.fitmetrix.io/webportal/schedulemobile/f9719b20-4914-e911-a97...(Legs%20%2B%20Butt)&dateRangeFrom=2019-11-21T07%3A00%3A00&dateRangeTo=2019-11-21T07%3A55%3A00&locationid=5854&classID=31918145

Wed Nov 20

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Nov 20

PDE Seminar

3:35pm - Vincent Hall 570
Effective Poisson equation of density functional theory at positive temperature
Li Chen, MIT
Abstract:

Density functional theory (DFT) has been a very successful effective theory of many-body quantum mechanics. In particular, the Kohn-Sham (KS) equations of DFT serve as an accurate model for the electron densities. The KS equations are a case of the Schrodinger-Poisson equations whose electron-electron effective interaction potential only depends on the density of electrons. When the number of electrons are limited, the KS equation can be solved quickly by numerical method at temperature T = 0. Since physically interesting settings are at T > 0, we study the KS equations at positive temperature and give an iterative scheme to construct solutions.

One important class of electronic structures described by the KS equations is a crystalline lattice. At positive temperature, we show that a local perturbation to a crystalline structure induces an electric field governed by the Poisson equation. The latter equation emerges as an effective equation of the KS equations. This is a joint work with Israel M. Sigal.

Wed Nov 20

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Nov 19

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Nov 19

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Nov 19

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Nov 19

Colloquium

2:30pm - Vincent Hall 16
Random matrix theory and supersymmetry techniques
Tatyana Shcherbyna, Princeton University
Abstract:

Starting from the works of Erdos, Yau, Schlein with coauthors, the significant progress in understanding the universal behavior of many random graph and random matrix models were achieved. However for the random matrices with a spacial structure our understanding is still very limited. In this talk I am going to overview applications of another approach to the study of the local eigenvalues statistics in random matrix theory based on so-called supersymmetry techniques (SUSY) . SUSY approach is based on the representation of the determinant as an integral over the Grassmann (anticommuting) variables. Combining this representation with the representation of an inverse determinant as an integral over the Gaussian complex field, SUSY allows to obtain an integral representation for the main spectral characteristics of random matrices such as limiting density, correlation functions, the resolvent's elements, etc. This method is widely (and successfully) used in the physics literature and is potentially very powerful but the rigorous control of the integral representations, which can be obtained by this method, is quite difficult, and it requires powerful analytic and statistical mechanics tools. In this talk we will discuss some recent progress in application of SUSY to the analysis of local spectral characteristics of the prominent ensemble of random band matrices, i.e. random matrices whose entries become negligible if their distance from the main diagonal exceeds a certain parameter called the band width.

Tue Nov 19

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Nov 19

IMA Data Science Lab Seminar

1:25pm - Lind 305
Robust Representation for Graph Data
Dongmian Zou, University of Minnesota, Twin Cities
Abstract:

Modern data are usually high-dimensional with noise and corruption. A useful representation of data has to be robust and address the data structure. In this talk, I will first present a class of robust models called the scattering transform that can be used to generated features from graph data. In graph scattering transforms, the representation is generated in an unsupervised manner based on graph wavelets. It is approximately invariant to permutations and stable to signal or graph manipulations. Numerical results show that it works effectively for classification and community detection problems. Next, I will address how the structure of data can be found using autoencoders. Indeed, in the framework of autoencoders, graph scattering transform can be applied to the important task of graph generation. It shows state-of-the-art performance in link prediction and can be used to generate molecular samples.

Tue Nov 19

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Tue Nov 19

Topology Seminar

10:30am - Skybox
CORE @ Skybox - Skybox

Abstract:

https://www.fitmetrix.io/webportal/schedulemobile/f9719b20-4914-e911-a97...

Mon Nov 18

Student Number Theory Seminar

3:35pm - Vincent Hall 1
The Casselman-Shalika Formula for GL_2
Emily Tibor
Abstract:

This talk will focus on the Casselman-Shalika formula for GL_2 over a non-Archimedean local field, which is an explicit formula for the values of the spherical Whittaker function. A good amount of time will be dedicated to explaining the necessary background including Whittaker models and spherical vectors, which come together to form the spherical Whittaker function. We will then be ready to discuss the formula, Casselman's method of calculating it, and its significance.

Mon Nov 18

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Scalable Algorithms for Data-driven Inverse and Learning Problems
Tan Bui-Thanh, UT-Austin
Abstract:

Inverse problems and uncertainty quantification (UQ) are pervasive in scientific
discovery and decision-making for complex, natural, engineered, and societal systems.
They are perhaps the most popular mathematical approaches for enabling predictive scientific simulations that integrate observational/experimental data, simulations and/or
models. Unfortunately, inverse/UQ problems for practical complex systems possess these the simultaneous challenges: the large-scale forward problem challenge, the high dimensional parameter space challenge, and the big data challenge.

To address the first challenge, we have developed parallel high-order (hybridized) discontinuous Galerkin methods to discretize complex forward PDEs. To address the second challenge, we have developed various approaches from model reduction to advanced Markov chain Monte Carlo methods to effectively explore high dimensional parameter spaces to compute posterior statistics. To address the last challenge, we have developed a randomized misfit approach that uncovers the interplay between the Johnson-Lindenstrauss and the Morozov's discrepancy principle to significantly reduce the dimension of the data without compromising the quality of the inverse solutions.

In this talk we selectively present scalable and rigorous approaches to tackle these challenges for PDE-governed Bayesian inverse problems. Various numerical results for simple to complex PDEs will be presented to verify our algorithms and theoretical findings. If time permits, we will present our recent work on scientific machine learning for inverse and learning problems.

Mon Nov 18

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Nov 18

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Nov 18

Topology Seminar

2:30pm - Ford Hall 110
Topology Seminar
TBA
Mon Nov 18

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Nov 15

MCFAM Seminar

5:30pm - Vincent Hall 16
Data Science in the Life Insurance Industry
Gary Hatfield, Securian/University of Minnesota
Abstract:

Data Scientist has emerged as one of the hottest and most talked about jobs in the world today.  In my talk, I will provide an overview of how data science has emerged in the insurance industry. I will give some examples of how data science is being applied in life insurance and describe how the Actuarial profession is adapting. Bio: https://mcfam.dl.umn.edu/people/gary-hatfield

Fri Nov 15

Combinatorics Seminar

3:30pm - Vincent Hall 570
Simplicial generation of Chow rings of matroids
Chris Eur, UC Berkeley
Abstract:

Matroids are combinatorial objects that capture the essence of linear independence. We first give a gentle introduction to the recent breakthrough in matroid theory, the Hodge theory of matroids, developed by Adiprasito, Huh, and Katz. By combining two prominent recent approaches to matroids, tropical geometric and Lie/Coxeter theoretic, we give a new presentation for the Chow ring of a matroid that further tightens the interaction between combinatorics and geometry of matroids. We discuss various applications, including a simplified proof of the main portion of the Hodge theory of matroids. This is joint work with Spencer Backman and Connor Simpson.

Fri Nov 15

Probability Seminar

2:30pm - Vincent Hall 311
Joint seminar in math biology and probability: Mathematical Modelling in Immunotherapy of Melanoma
Anna Kraut, Bonn
Abstract:

Mathematical models can support biomedical research through identification of key mechanisms, validation of experiments, and simulation of new therapeutic approaches.

We investigate the evolution of melanomas under adoptive cell transfer therapy with cytotoxic T-cells. It was shown in experiments that phenotypic plasticity, more precisely an inflammation-induced, reversible dedifferentiation, is an important escape mechanism for the tumor. Recently, the effects of possible mutation to a permanently resistant genotype were studied by introducing knockout melanoma cells into the wildtype tumor.

We use a stochastic individual-based Markov process to describe the evolution of the tumor under various therapeutic approaches. It is an extension of the model introduced in the paper of Baar et al in 2016 and further includes the effects of T-cell exhaustion and some limited spatial component which results in additional non-linearities. The model is implemented as a hybrid algorithm that combines Gillespie-type stochastic calculations and a deterministic approximation to speed up simulations while keeping the effects of random events.

Numerical simulations confirm the resistance to therapy via phenotypic switching as well as genotypic mutation. T-cell exhaustion is identified as an important mechanism that is crucial in fitting the model to the experimental data. We gain further insights into how originally unfit knockout cells can accumulate under therapy, shield the wild type cells from the T-cells, and thus cause an earlier relapse. Going beyond the experiment, the possibility of naturally occurring rare mutations, in contrast to artificially introduced knockout cells, is explored in simulations and produces the same effects. Thus, the clinical relevance of the experimental findings can be confirmed.

Fri Nov 15

Math Biology Seminar

2:30pm - Vincent Hall 311
Joint seminar in math biology and probability: Mathematical Modelling in Immunotherapy of Melanoma
Anna Kraut, Bonn
Abstract:

Mathematical models can support biomedical research through identification of key mechanisms, validation of experiments, and simulation of new therapeutic approaches.

We investigate the evolution of melanomas under adoptive cell transfer therapy with cytotoxic T-cells. It was shown in experiments that phenotypic plasticity, more precisely an inflammation-induced, reversible dedifferentiation, is an important escape mechanism for the tumor. Recently, the effects of possible mutation to a permanently resistant genotype were studied by introducing knockout melanoma cells into the wildtype tumor.

We use a stochastic individual-based Markov process to describe the evolution of the tumor under various therapeutic approaches. It is an extension of the model introduced in the paper of Baar et al in 2016 and further includes the effects of T-cell exhaustion and some limited spatial component which results in additional non-linearities. The model is implemented as a hybrid algorithm that combines Gillespie-type stochastic calculations and a deterministic approximation to speed up simulations while keeping the effects of random events.

Numerical simulations confirm the resistance to therapy via phenotypic switching as well as genotypic mutation. T-cell exhaustion is identified as an important mechanism that is crucial in fitting the model to the experimental data. We gain further insights into how originally unfit knockout cells can accumulate under therapy, shield the wild type cells from the T-cells, and thus cause an earlier relapse. Going beyond the experiment, the possibility of naturally occurring rare mutations, in contrast to artificially introduced knockout cells, is explored in simulations and produces the same effects. Thus, the clinical relevance of the experimental findings can be confirmed.

Fri Nov 15

Dynamical Systems

2:30pm - Vincent Hall 20
The mathematics of taffy pulling
Jean-Luc Thiffeault, University of Wisconsin
Abstract:

Taffy is a type of candy made by repeated 'pulling' (stretching andfolding) a mass of heated sugar. The purpose of pulling is to get air
bubbles into the taffy, which gives it a nicer texture. Until the
late 19th century, taffy was pulled by hand, an arduous task. The
early 20th century saw an avalanche of new devices to mechanize the
process. These devices have fascinating connections to the
topological dynamics of surfaces, in particular with pseudo-Anosov
maps. Special algebraic integers such as the Golden ratio and the
lesser-known Silver ratio make an appearance, as well as more exotic
numbers. We examine different designs from a mathematical
perspective, and discuss their efficiency. This will be a "colloquium
style" talk that should be accessible to graduate students.

Fri Nov 15

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Nov 15

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Nov 15

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Pipelines, Graphs, and the Language of Shopping: Architecting Next Gen Machine Learning Capabilities for Retail
Jonah White, Best Buy
Abstract:

This talk will highlight the evolution of building out a data science capability in a retail environment as well as explore cutting-edge developments in constructing machine learning pipelines in the cloud, emerging advancements in time-series forecasting, applications of GPU accelerated graph processing for entity resolution, and how we’re adapting the latest research in language models to translate the language of shopping for the ultimate personalized experience

Thu Nov 14

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Nov 14

Colloquium

3:35pm - Vincent Hall 16
$p$-adic estimates for exponential sums on curves
Joe Kramer-Miller, UC Irvine
Abstract:

A central problem in number theory is that of finding rational or integer solutions to systems of polynomials in several variables. This leads one naturally to the slightly easier problems of finding solutions modulo a prime $p$. Using a discrete analogue of the Fourier transformation, this modulo $p$ problem can be reformulated in terms of exponential sums. We will discuss $p$-adic properties of such exponential sums in the case of higher genus curves as well as connections to complex differential equations.

Thu Nov 14

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
Gennady Lyubeznik, University of Minnesota
Thu Nov 14

Colloquium

2:30pm - Vincent Hall 16
Applications of Frobenius beyond prime characteristic.
Daniel Hernández, Univ. of Kansas
Abstract:

Abstract: Recall that the Frobenius morphism is simply the map sending an element in a ring of prime characteristic $p>0$ -- say, a polynomial with coefficients in a finite field -- to its $p$-th power. Though simple to define, Frobenius has proven to be a useful and effective tool in algebraic geometry, representation theory, number theory, and commutative algebra. Furthermore, and remarkably, some of the most interesting applications of Frobenius are to the study of objects defined over the complex numbers, and more generally, over a field of characteristic zero! In this talk, we will discuss some of these applications, with an eye towards classical singularity theory and birational algebraic geometry, both over the complex numbers.

Thu Nov 14

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Nov 13

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Nov 13

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Counting points and varieties and Malle's conjecture
Andy Odesky, University of Michigan
Wed Nov 13

PDE Seminar

3:30pm - Vincent Hall 570
Serrin Lecture - Localization for the Anderson-Bernoulli model on the integer lattice
Charles Smart, University of Chicago
Abstract:

I will give a brief mathematical introduction to Anderson localization followed by a discussion of my recent work with Jian ding. In our work we establish localization near the edge for the Anderson Bernoulli model on the two dimensional lattice. Our proof follows the program of Bourgain--Kenig and uses a new unique continuation result inspired by Buhovsky--Logunov--Malinnikova--Sodin. I will also discuss recent work of by Li and Zhang on the three dimensional case.

Tue Nov 12

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Nov 12

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Nov 12

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Nov 12

Colloquium

2:30pm - Vincent Hall 16
Unraveling Local Cohomology
Emily Witt, Univ. of Kansas
Abstract:

Local cohomology modules are fundamental tools in commutative algebra, due to the algebraic and geometric information they carry. For instance, they can help determine the number of equations necessary to define an affine variety. Unfortunately, however, the application of local cohomology is limited by the fact that these modules are typically very large (e.g., not finitely generated), and can be difficult to determine explicitly. In this talk, we discuss new techniques developed to understand the structure of local cohomology (e.g., coming from invariant theory). We also describe recently-discovered "connectedness properties" of spectra that local cohomology encodes.

Tue Nov 12

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Nov 12

IMA Data Science Lab Seminar

1:25pm - Lind 305
Latent Factor Models for Large-scale Data
Xiaoou Li, University of Minnesota, Twin Cities
Abstract:

Latent factor models are widely used to measure unobserved latent traits in social and behavioral sciences, including psychology, education, and marketing. Motivated by the applications of latent factor models to large-scale measurements which consist of many manifest variables (e.g. test items) and a large sample size, we study the properties of latent factor models under an asymptotic setting where both the number of manifest variables and the sample size grows to infinity. In this talk, I will introduce generalized latent factor models under exploratory and confirmatory settings. For the exploratory setting, we propose a constrained joint maximum likelihood approach for model estimation and investigate its theoretical properties. For the confirmatory setting, we study how the design information affects the identifiability and estimability of the model, and propose a rate-optimal estimator when the model is identifiable. The estimators can be efficiently computed through parallel computing. Our results provide insights on the design of large-scale measurement and have important implications on measurement validity.

Tue Nov 12

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Nov 11

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Nov 11

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Introduction to Rankin-Selberg Method
Shengmei An
Abstract:

Rankin-Selberg method has been one of the most powerful techniques for studying the Langlands program. In this talk, we will start with the original simplest example of the Rankin-Selberg method, and then come to a more general case of the Rankin-Selberg method on GL_m*GL_n where we can reduce the global integral to the more accessible lovely local integrals so that we can establish some of the important analytic properties of the L-functions.

Mon Nov 11

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Nov 11

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Nov 11

Topology Seminar

2:30pm - Ford Hall 110
Cochain models for the unit group of a differential graded algebra
Tyler Lawson, University of Minnesota
Abstract:

Abstract not available.

Mon Nov 11

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Nov 08

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar

Fri Nov 08

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics via Deligne Categories
Chris Ryba, MIT
Abstract:

The Deligne category Rep(S_t) can be thought of as "interpolating" the representation categories of symmetric groups. After describing this category, I will explain how a calculation in the Deligne category can be used to prove stability properties of permutation patterns within conjugacy classes (joint with Christian Gaetz).

Fri Nov 08

Probability Seminar

2:30pm - Vincent Hall 311
"Robust Synchronization via Cycle Consistency Inference
Yunpeng Shi, UMN
Abstract:

We propose a strategy for improving the existing methods for solving synchronization problems that arise from various computer vision tasks. Specifically, our strategy identifies severely corrupted relative measurements based on cycle consistency information. To the best of our knowledge, this paper provides the first exact recovery guarantees using cycle consistency information. This result holds for a noiseless but corrupted setting as long as the ratio of corrupted cycles per edge is sufficiently small. It further guarantees linear convergence to the desired solution. We also establish stability of the proposed algorithm to sub-Gaussian noise.

Fri Nov 08

Math Biology Seminar

2:30pm - Vincent Hall 311
Joint seminar in math biology and probability: Mathematical Modelling in Immunotherapy of Melanoma
Anna Kraut, Bonn
Abstract:

Mathematical models can support biomedical research through identification of key mechanisms, validation of experiments, and simulation of new therapeutic approaches.

We investigate the evolution of melanomas under adoptive cell transfer therapy with cytotoxic T-cells. It was shown in experiments that phenotypic plasticity, more precisely an inflammation-induced, reversible dedifferentiation, is an important escape mechanism for the tumor. Recently, the effects of possible mutation to a permanently resistant genotype were studied by introducing knockout melanoma cells into the wildtype tumor.

We use a stochastic individual-based Markov process to describe the evolution of the tumor under various therapeutic approaches. It is an extension of the model introduced in the paper of Baar et al in 2016 and further includes the effects of T-cell exhaustion and some limited spatial component which results in additional non-linearities. The model is implemented as a hybrid algorithm that combines Gillespie-type stochastic calculations and a deterministic approximation to speed up simulations while keeping the effects of random events.

Numerical simulations confirm the resistance to therapy via phenotypic switching as well as genotypic mutation. T-cell exhaustion is identified as an important mechanism that is crucial in fitting the model to the experimental data. We gain further insights into how originally unfit knockout cells can accumulate under therapy, shield the wild type cells from the T-cells, and thus cause an earlier relapse. Going beyond the experiment, the possibility of naturally occurring rare mutations, in contrast to artificially introduced knockout cells, is explored in simulations and produces the same effects. Thus, the clinical relevance of the experimental findings can be confirmed.

Fri Nov 08

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Nov 08

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
Steven Sperber
Thu Nov 07

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Nov 07

Colloquium

3:35pm - Vincent Hall 16
Eisenstein Series on Loop Groups and their Metaplectic Covers
Manish Patnaik, University of Alberta
Abstract:

Both the Langlands-Shahidi method of studying automorphic L-functions and approach via the theory of Weyl group multiple Dirichlet series to studying moments of L-functions now require new classes of groups with which to work. In this talk, I will explain our progress on extending these techniques to certain infinite-dimensional Kac-Moody groups, namely loop groups (and their metaplectic covers). Of note in our work is the presence of two quite different types of Eisenstein series that exist on the same group and which need to be considered in conjunction with one other. This is a report on joint work in progress with H. Garland, S.D. Miller, and A. Puskas.

Thu Nov 07

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
The spectral sequence of a filtered complex
Gennady Lyubeznik, University of Minnesota
Abstract:

This is the third of a series of three talks on the spectral sequence of a filtered complex. This material is by now classical and is an important part of homological algebra. The main difficulty in dealing with spectral sequences is that there are a lot of indexes involved and this is a considerable obstacle to understanding what is going on. The goal of these talks is to present this material, including most proofs, in an accessible manner.

Thu Nov 07

Colloquium

2:30pm - Vincent Hall 16
On various questions (and answers) in High-dimensional probability
Galyna Livshyts, Georgia Tech
Abstract:

In this talk, several topics from High-dimensional probability shall be discussed. This fascinating area is rich in beautiful problems, and several easy-to-state questions will be outlined. Further, some connections between them will be explained throughout the talk.

I shall discuss several directions of my research. One direction is invertibility properties of inhomogeneous random matrices: I will present sharp estimates on the small ball behavior of the smallest singular value of a very general ensemble of random matrices, and will briefly explain the new tools I developed in order to obtain these estimates.

Another direction is isoperimetric-type inequalities in high-dimensional probability. Such inequalities are intimately tied with concentration properties of probability measures. Among other results, I will present a refinement of the concavity properties of the standard gaussian measure in an n-dimensional euclidean space, under certain structural assumptions, such as symmetry. This result constitutes the best known to date estimate in the direction of the conjecture of Gardner and Zvavitch from 2007.

The above topics will occupy most of the time of the presentation. In addition, I shall briefly mention other directions of my research, including noise-sensitivity estimates for convex sets, or, in other words, upper bounds on perimeters of convex sets with respect to various classes of probability distributions. If time permits, I will discuss my other results, such as small ball estimates for random vectors with independent coordinates, and partial progress towards Levi-Hadwiger illumination conjecture for convex sets in high dimensions.

Thu Nov 07

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Nov 06

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Nov 06

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed Nov 06

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
The automorphic heat kernel from a geometric perspective
Amy DeCelles, St. Thomas
Tue Nov 05

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Nov 05

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Nov 05

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Nov 05

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Nov 05

IMA Data Science Lab Seminar

1:25pm - Lind 305
Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery
Seyedahmad Mousavi, University of Minnesota, Twin Cities
Abstract:

Sparse recovery finds numerous applications in different areas, for example, engineering, computer science, business, applied mathematics, and statistics. Sparse recovery is often formulated as relatively large-scale and challenging constrained (convex or nonconvex) optimization problems. Constraints are ubiquitous and important in many applications of sparse recovery, but they make analysis and computation nontrivial and require novel techniques to handle them. The goal of this talk is to present numerical and analytical techniques for constrained sparse recovery using convex analysis and optimization tools. Three topics are investigated in the realm of constrained sparse recovery.

First, we analyze quantitative adverse properties of different $p$-norm-based optimization problems with $p>1$, such as generalized basis pursuit, basis pursuit denoising, ridge regression, and elastic net. We show that their optimal solutions are least sparse for almost all measurement matrices and measurement vectors. Second, we study the solution uniqueness of an individual feasible vector of a class of convex optimization problems involving convex piecewise affine functions and subject to general polyhedral constraints. We apply these solution uniqueness results to a broad class of $\ell_1$-minimization problems in constrained sparse optimization, such as basis pursuit, LASSO, and polyhedral gauge recovery. Third, we propose a constrained matching pursuit algorithm for constrained sparse recovery and develop uniform conditions for exact support and vector recovery on constraint sets. The exact recovery via this algorithm not only depends on a measurement matrix but also critically relies on a constraint set. Hence, we identify an important class of constraint sets, called coordinate projection admissible. We then use the conic hull structure of these sets together with constrained optimization techniques to establish sufficient conditions for uniform exact recovery via this algorithm on coordinate projection admissible sets. These conditions are expressed in terms of the restricted isometry-like and the restricted orthogonality-like constants

Tue Nov 05

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Nov 04

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Nov 04

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Rankin-Selberg Method
May Shengmei
Mon Nov 04

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied differential geometry and harmonic analysis in deep learning regularization
Wei Zhu, Duke University
Abstract:

Deep neural networks (DNNs) have revolutionized machine learning by gradually replacing the traditional model-based algorithms with data-driven methods. While DNNs have proved very successful when large training sets are available, they typically have two shortcomings: First, when the training data are scarce, DNNs tend to suffer from overfitting. Second, the generalization ability of overparameterized DNNs still remains a mystery.

In this talk, I will discuss two recent works to “inject” the “modeling” flavor back into deep learning to improve the generalization performance and interpretability of the DNN model. This is accomplished by DNN regularization through applied differential geometry and harmonic analysis. In the first part of the talk, I will explain how to improve the regularity of the DNN representation by enforcing a low-dimensionality constraint on the data-feature concatenation manifold. In the second part, I will discuss how to impose scale-equivariance in network representation by conducting joint convolutions across the space and the scaling group. The stability of the equivariant representation to nuisance input deformation is also proved under mild assumptions on the Fourier-Bessel norm of filter expansion coefficients.

Mon Nov 04

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Nov 04

Topology Seminar

2:30pm - Ford Hall 110
Topology Seminar
TBA
Mon Nov 04

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Nov 01

MCFAM Seminar

5:30pm - Vincent Hall 16
Extrapolative Expectations, Financial Frictions, and Asset Prices
Yao Deng, University of Minnesota
Abstract:

  I study how extrapolative expectations affect corporate real and financial activities and asset prices. Empirically, high misperception on earnings growth, a measure constructed to proxy for extrapolation, is associated with an increase in investment, debt issuance, equity issuance, and firm-level bond and stock prices in the short-term, but predicts a decline in all these activities and prices in the long-term. These patterns are more pronounced among small and financially constrained firms. Theoretically, I build a dynamic model with extrapolative expectations and financial frictions, and show that the interaction of these two frictions is crucial to explain the empirical findings. Intuitively, after a sequence of favorable shocks, agents extrapolate and become overoptimistic about future productivities. Firms invest and borrow more in the short-term. Lower perceived default probability improves financing conditions, further increasing investment and borrowing. Future realizations turn out worse than expected, making real and financial activities and asset prices subject to predictable reversals in the long-term.Bio: https://carlsonschool.umn.edu/faculty/yao-deng

Fri Nov 01

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar
Dongkwan Kim, UMN
Abstract:

For a Coxeter group W, a W-graph is a graph which produces a nice basis of the corresponding representation of W and also describes the action of W on the basis elements. Even when W is finite and its irreducible characters are known, W-graphs are still useful for understanding representations of W. In this talk, I will talk about W-graphs when W is an (extended) affine symmetric group, especially when these graphs are associated with “two-row partitions”. Also I will discuss the connection between them and Lusztig’s periodic W-graph. This work is joint with Pavlo Pylyavskyy.

Fri Nov 01

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Nov 01

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Nov 01

Special Events and Seminars

1:25pm - Vincent Hall 213
p-Adic Banach Spaces and Completely Continuous Endomorphisms
Steven Sperber
Thu Oct 31

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Oct 31

Colloquium

3:35pm - Vincent Hall 16
Differential operators on invariant rings
Anurag Singh, University of Utah
Abstract:

Work of Levasseur and Stafford describes the rings of differential operators on various classical invariant rings of characteristic zero; in each of these cases, the differential operators form a simple ring. Towards an attack on the simplicity of rings of differential operators on invariant rings of reductive groups over the complex numbers, Smith and Van den Bergh asked if reduction modulo p works for differential operators in this context. In joint work with Jack Jeffries, we establish that this is not the case for various classical groups.

Thu Oct 31

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Spectral sequences
Gennady Lyubeznik, University of Minnesota
Abstract:

This is the first of a series of three talks on the spectral sequence of a filtered complex.
This material is by now classical and is an important part of homological algebra.
The main difficulty in dealing with spectral sequences is that there are a lot of indexes involved and this is a considerable obstacle to understanding what is going on. The goal of these talks is to present this material, including most proofs, in an accessible manner.

Thu Oct 31

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Oct 30

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Oct 30

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed Oct 30

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Oct 29

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Oct 29

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Oct 29

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Oct 29

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Oct 29

IMA Data Science Lab Seminar

1:25pm - Lind 305
Highly Likely Clusterable Data With No Cluster
Mimi Boutin, Purdue University
Abstract:

Data generated as part of a real-life experiment is often quite organized. So much so that, in many cases, projecting the data onto a random line has a high probability of uncovering a clear division of the data into two well-separated groups. In other words, the data can be clustered with a high probability of success using a hyperplane whose normal vector direction is picked at random. We call such data ``highly likely clusterable.” The clusters obtained in this fashion often do not seem compatible with a cluster structure in the original space. In fact, the data in the original space may not contain any cluster at all. This talk is about this surprising phenomenon. We will discuss empirical ways to detect it as well as how to exploit it to cluster datasets, especially datasets consisting of a small number of points in a high-dimensional space. We will also present a possible mathematical model that would explain this observed phenomenon. This is joint work with Alden Bradford (Purdue Math), Sangchun Han (Purdue ECE, now at Google) and Tarun Yellamraju (Purdue ECE, now at Qualcomm).

Mireille (Mimi) Boutin graduated with a bachelor’s degree in Physics-Mathematics from the University of Montreal. She received the Ph.D. degree in Mathematics from the University of Minnesota under the direction of Peter J. Olver. She joined Purdue University after a post-doctorate with David Mumford, David Cooper, and Ben Kimia at Brown University, Rhode Island, followed by a post-doctorate with Stefan Muller at the Max Plank Institute for Mathematics in the Sciences in Leipzig, Germany. She is currently an Associate Professor in the School of Electrical and Computer Engineering, with a courtesy appointment in the Department of Mathematics. Her research is in the area of signal processing, machine learning, and applied mathematics. She is a three-time recipient of Purdue’s Seed for Success Award. She is also a recipient of the Eta Kappa Nu Outstanding Faculty Award, the Eta Kappa Nu Outstanding Teaching Award and the Wilfred “Duke” Hesselberth Award for Teaching Excellence.

Tue Oct 29

Climate Seminar

11:15am - Vincent Hall 570
Convergence and Equilibrium for Stochastic Models of Ecological Disturbances
James Broda, Bowdoin College
Mon Oct 28

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Oct 28

Student Number Theory Seminar

3:35pm - Vincent Hall 1
"Part 2: Representation Stability, Étale Cohomology and Combinatorics of Configuration Spaces over Finite Fields"
David DeMark
Abstract:

After introducing the theory of FI-modules in 2012, the collaborative unit consisting of Thomas Church, Jordan Ellenberg and Benson Farb applied their framework to asymptotically stable counting problems in a certain classes of FI-varieties over finite fields in their 2013 paper Representation stability in cohomology and asymptotics for families of varieties over finite fields. The paper serves as a proof-of-concept, unifying a number of previously-known combinatorial results. The key to their method is the Grothendieck-Lefschetz fixed-point theorem with twisted statistics, which relates the rational cohomology of an algebraic variety over the complex numbers with the trace of the Frobenius map applied to the étale cohomology with coefficients in an $\ell$-adic sheaf of that variety over a finite field. In this talk, we shall introduce the Grothendieck-Lefschetz formula and its associated machinery as well as FI-modules and representation stability, then use these ideas to give an exposition of some results of Church, Ellenberg and Farb as they relate to configuration spaces and the braid group.

Mon Oct 28

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Oct 28

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Oct 28

Topology Seminar

2:30pm - Ford Hall 110
Compactifying the étale topos
Elden Elmanto, Harvard University
Abstract:

The speaker has long feared the technicalities and intricacies of equivariant stable homotopy theory. Fortunately, beginning with the work of Glasman, major simplification on the foundations of the subject has been made (cf. the work of Ayala-Mazel-Gee-Rozenblyum, Nikolaus-Scholze and the Barwick school). We offer another perspective (that the speaker has a chance of understanding) on equivariant stable homotopy theory, at least for the group C_2, via algebraic geometry. We view it as a way to remedy an infamous annoyance: the 2-étale cohomological dimension of the field of real numbers is infinite. We do this by identifying the genuine C_2-spectra with a category of motives based on Real algebraic geometry ala Scheiderer. This is joint work with Jay Shah.

Mon Oct 28

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Oct 25

MCFAM Seminar

5:30pm - Vincent Hall 16
Mortgage Prepayment Behavior
Messan Edorh and Bo Li, US Bank
Abstract:

According to the US Census Bureau, homeownership rates peaked during the first quarter of 2005 at 69.1% but fell to just 63.8% in the fourth quarter of 2015, a year when residential mortgage debt outstanding was still above ten trillion-dollar mark and mortgage origination was about $1.7T. Mortgage Back Security (MBS) originations have continued to experience a steady growth attracting investors, servicers, insurers, lenders, and GSEs (Government Sponsored Enterprises). In contrary, MBS market presented various financial risks including prepayment from the homeowners - be that voluntary or involuntary.

To manage the risks presented by the borrowers, modeling prepayment behavior is critical in the work banks do. Four fundamental components of mortgage prepayment activity will be examined in this presentation.

Fri Oct 25

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorial Methods for Integrable Systems
Nick Ovenhouse.
Abstract:

An integrable Hamiltonian system is a dynamical system with "enough conserved quantities" to guarantee that it can, in principle, be solved, or "integrated". I will give some basic definitions of Poisson algebras and what it means to be integrable in this context. I will then show, by way of an example (namely the "pentagram map"), how some combinatorial techniques using weighted directed graphs can be used to model the system and demonstrate its integrability. This method also hints at connections with cluster algebras and Postnikov's constructions related to stratifications of the positive Grassmannian. Time permitting, I will also discuss recent work generalizing this example.

Fri Oct 25

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar
Kevin Leder, UMN
Fri Oct 25

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Oct 25

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Oct 25

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Gamma Guidance - The Mathematics Applied to a Launch Vehicle
Gary Green, The Aerospace Corporation
Abstract:

The Boeing Inertial Upper Stage (IUS) launch vehicle was used to launch spacecraft from 1982 until 2004. The Gamma Guidance algorithm was used on board the IUS to select the ignition times, durations, and directions of engine firings. I will discuss the mathematics employed in Gamma Guidance as well as collateral on-board ;processes in order to illuminate how mathematics is applied in the launch setting.

Dr. Gary Green holds mathematics degrees from the Universities of Idaho, Michigan State, and Pennsylvania State. He taught mathematics at California State College Stanislaus before joining the Aerospace Corporation (www.aerospace.org), where he served as an applied mathematician and systems engineer in several capacities: employing numerical analysis to model launch vehicles, overseeing algorithm and software development for space systems, evaluating space system performance, and analyzing threats against space systems.

Thu Oct 24

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Oct 24

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Oct 24

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Spectral Sequences
Gennady Lyubeznik, University of Minnesota
Abstract:

This is the first of a series of three talks on the spectral sequence of a filtered complex.
This material is by now classical and is an important part of homological algebra.
The main difficulty in dealing with spectral sequences is that there are a lot of indexes involved and this is a considerable obstacle to understanding what is going on. The goal of these talks is to present this material, including most proofs, in an accessible manner.

Thu Oct 24

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Oct 23

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Oct 23

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed Oct 23

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Oct 22

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Oct 22

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Oct 22

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Oct 22

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Oct 22

IMA Data Science Lab Seminar

1:25pm - Lind 305
Convergence Rates and Semiconvexity Estimates for the Continuum Limit of Nondominated Sorting
Brendan Cook, University of Minnesota, Twin Cities
Abstract:

Multiobjective optimization problems are ubiquitous in science and engineering contexts, and nondominated sorting is a sorting process fundamental to multiobjective optimization. Recently proposed approaches to nondominated sorting exploit an underlying PDE that arises in the continuum limit. The need for theoretical guarantees for nondominated sorting algorithms motivates the problem of finding rates of convergence for the continuum limit. In this talk I will introduce PDE techniques from the theory of viscosity solutions and show how they can be used to solve this problem. Furthermore, I will show how semiconvexity estimates can be used to bolster convergence rates, and discuss approaches to obtaining semiconvexity estimates. This talk is intended to be entirely self-contained, so no prior knowledge of PDE will be assumed.

Tue Oct 22

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Oct 21

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Oct 21

Student Number Theory Seminar

3:35pm - Vincent Hall 1
"Representation Stability, Étale Cohomology and Combinatorics of Configuration Spaces over Finite Fields"
David DeMark
Abstract:

After introducing the theory of FI-modules in 2012, the collaborative unit consisting of Thomas Church, Jordan Ellenberg and Benson Farb applied their framework to asymptotically stable counting problems in a certain classes of FI-varieties over finite fields in their 2013 paper Representation stability in cohomology and asymptotics for families of varieties over finite fields. The paper serves as a proof-of-concept, unifying a number of previously-known combinatorial results. The key to their method is the Grothendieck-Lefschetz fixed-point theorem with twisted statistics, which relates the rational cohomology of an algebraic variety over the complex numbers with the trace of the Frobenius map applied to the étale cohomology with coefficients in an $\ell$-adic sheaf of that variety over a finite field. In this talk, we shall introduce the Grothendieck-Lefschetz formula and its associated machinery as well as FI-modules and representation stability, then use these ideas to give an exposition of some results of Church, Ellenberg and Farb as they relate to configuration spaces and the braid group.

Mon Oct 21

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Oct 21

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Oct 21

Topology Seminar

2:30pm - Ford Hall 110
Descent properties of topological Hochschild homology
Liam Keenan, University of Minnesota
Abstract:

Algebraic K-theory is an extremely rich but notoriously difficult invariant to compute. In order to make calculations tractible, topological Hochschild homology and topological cyclic homology were introduced, along with the Dennis and cyclotomic trace maps. A natural question to consider is whether or not these invariants are sheaves for various topologies arising in algebraic geometry. In fact, it turns out that topological Hochschild homology is a sheaf for the fpqc topology on connective commutative ring spectra. In this talk, I plan to introduce the language necessary and sketch the argument of this result.

Mon Oct 21

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Oct 18

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar

Fri Oct 18

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar

Fri Oct 18

Probability Seminar

2:30pm - Vincent Hall 311
Rare events in the spectrum of random matrices
Kevin Leder, UMN
Abstract:

In this talk I will consider extreme behavior of the extremal eigenvalues of white Wishart matrices, which play an important role in multivariate analysis. I will focus on the case when the dimension of the feature p is much larger than or comparable to the number of observations n, a common situation in modern data analysis. I will discuss asymptotic approximations for the tail probabilities of the extremal eigenvalues. In addition, I will discuss the construction of an efficient Monte Carlo importance sampling algorithm to estimate the tail probabilities. Simulation results show that our method has the best performance among known approximation approaches, and furthermore provides an efficient and accurate way for evaluating the tail probabilities in practice. Based on joint work with Tiefieng Jiang and Gongjun Xu.

Fri Oct 18

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Oct 18

Special Events and Seminars

1:25pm - Vincent Hall 213
Trace Formula, continued
Steven Sperber, University of Minnesota
Thu Oct 17

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Oct 17

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Oct 17

Colloquium

3:35pm - Vincent Hall 16
Hopf monoids relative to a hyperplane arrangement
Marcelo Aguiar, Cornell University
Abstract:

The talk is based on recent and ongoing work with Swapneel
Mahajan. We will introduce a notion of Hopf monoid relative to a real
hyperplane arrangement. When the latter is the braid arrangement, the
notion is closely related to that of a Hopf monoid in Joyal's category
of species, and to the classical notion of connected graded Hopf
algebra. We are able to extend many concepts and results from the
classical theory of connected Hopf algebras to this level. The
extended theory connects to the representation theory of a certain
finite dimensional algebra, the Tits algebra of the arrangement. This
perspective on Hopf theory is novel even when applied to the classical
case. We will outline our approach to generalizations of the classical
Leray-Samelson, Borel-Hopf, and Cartier-Milnor-Moore theorems to this
setting. Background on hyperplane arrangements will be reviewed.

Thu Oct 17

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
Rebecca R.G., George Mason University
Thu Oct 17

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Oct 16

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Oct 16

PDE Seminar

3:35pm - Vincent Hall 570
Optimal local well-posedness for the derivative nonlinear Schrodinger's equation
Yu Deng, University of Southern California
Abstract:

In joint work with Andrea Nahmod and Haitian Yue, we prove local well-posedness for the derivative nonlinear Schrodinger's equation in Fourier-Lebesgue space which has the same scaling as H^s for any s>0. This closes the gap left open by the work of Grunrock-Herr where s>1/4. Here there is no trilinear estimate in any standard function space, instead we will construct the solution in a nonlinear submanifold (of a function space) by exploiting its structure. This is somehow inspired by the theory of para-controlled distributions that Gubinelli et al. developed for stochastic PDEs, but our arguments are purely deterministic.

Wed Oct 16

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Oct 15

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Oct 15

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Oct 15

Dynamical Systems

2:30pm - Vincent Hall 209
Forecasting U.S. elections with compartmental models of infection
Alexandria Volkening, Northwestern University
Abstract:

U.S. election forecasting involves polling likely voters, making assumptions about voter turnout, and accounting for various features such as state demographics and voting history. While political elections in the United States are decided at the state level, errors in forecasting are correlated between states. With the goal of shedding light on the forecasting process and exploring how states influence each other, we develop a framework for forecasting elections in the U.S. from the perspective of dynamical systems. Through a simple approach that borrows ideas from epidemiology, we show how to combine a compartmental model with public polling data from HuffPost and RealClearPolitics to forecast gubernatorial, senatorial, and presidential elections at the state level. Our results for the 2012 and 2016 U.S. races are largely in agreement with those of popular pollsters, and we use our new model to explore how subjective choices about uncertainty impact results. We conclude by comparing our forecasts for the senatorial and gubernatorial races in the U.S. midterm elections of 6 November 2018 with those of popular pollsters. This is joint work with Daniel Linder (Augusta Univ.), Mason Porter (UCLA), and Grzegorz Rempala (Ohio State Univ.)

Tue Oct 15

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Oct 15

IMA Data Science Lab Seminar

12:30pm - Lind 305
Simple Approaches to Complicated Data Analysis
Deanna Needell, University of California, Los Angeles
Abstract:

Recent advances in technology have led to a monumental increase in large-scale data across many platforms. One mathematical model that has gained a lot of recent attention is the use of sparsity. Sparsity captures the idea that high dimensional signals often contain a very small amount of intrinsic information. Using this notion, one may design efficient low-dimensional representations of large-scale data as well as robust reconstruction methods for those representations. Binary, or one-bit, representations of data for example, arise naturally in many applications, and are appealing in both hardware implementations and algorithm design. In this talk, we provide a brief background to sparsity and 1-bit measurements, and present new results on the problem of data classification with low computation and resource costs. We illustrate the utility of the proposed approach on recently acquired data about Lyme disease.

Tue Oct 15

Climate Seminar

11:15am - Vincent Hall 570
Climate and Non-Smooth Dynamics
Cameron Thieme, School of Mathematics
Mon Oct 14

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Oct 14

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Arithmetic Speculation on a Combinatorial Lemma
Eric Stuckey
Abstract:

Reflection groups are an object in classical geometry with deep connections to Lie theory, representation theory, algebraic geometry, invariant theory, and combinatorics. The first half of the talk will give a quick introduction to various flavors of reflection groups. In the second half of the talk I will state a lemma about a restricted class of reflection groups, and discuss an idea for how incorporating cyclotomic fields may allow us to remove that restriction.

Mon Oct 14

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Oct 14

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Oct 14

Topology Seminar

2:30pm - Ford Hall 110
Second order terms in arithmetic statistics
Craig Westerland, University of Minnesota
Abstract:

The machinery of the Weil conjectures often allows us to relate the singular cohomology of the complex points of a scheme to the cardinality of its set of points over a finite field. When we apply these methods to a moduli scheme, we obtain an enumeration of the objects the moduli parameterizes. It's rare that we can actually fully compute the cohomology of these moduli spaces, but homological stability results often give a first order approximation to the homology.

In this talk, we'll explain how to obtain second order homological computations for a class of Hurwitz moduli spaces of branched covers; these yield second order terms in enumerating the moduli over finite fields. We may interpret these as second order terms in a function field analogue of the function which counts number fields, ordered by discriminant. Our second order terms match those of Taniguchi-Thorne/Bhargava-Shankar-Tsimerman in the cubic case, and give new predictions in other Galois settings.

This is joint (and ongoing) work with Berglund, Michel, and Tran.

Mon Oct 14

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Oct 11

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Seminar

Fri Oct 11

Combinatorics Seminar

3:30pm - Vincent Hall 570
Kazhdan-Lusztig Immanants for k-Positive Matrices
Sunita Chepuri
Abstract:

Immanants are matrix functionals that generalize the determinant. One notable family of immanants are the Kazhdan-Lusztig immanants. These immanants are indexed by permutations and are defined as sums involving Kazhdan-Lusztig polynomials. One notable property of Kazhdan-Lustzig immanants is that they are nonnegative on totally positive matrices. We give a condition on permutations that allows us to extend this theorem to the setting of k-positive matrices. We also conjecture a larger class of permutations for which our theorem holds true.

Fri Oct 11

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Oct 11

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Oct 11

Special Events and Seminars

1:25pm - Vincent Hall 213
Trace Formula (continued)
Steven Sperber, University of Minnesota
Fri Oct 11

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Data Science in Healthcare
Yinglong Guo, UnitedHealth Group
Abstract:

UnitedHealth Group Research and Development (UHG R&D) is working on creating, validating, testing, and refining innovations in the healthcare industry. Our data science team provides technical solutions by applying various statistical and machine learning methods to a vast amount of data in order to answer research questions. In this talk, I will give a brief introduction to my day-to-day experience as a data scientist. I will also discuss the methodology involved in several analyses of treatment outcomes for prostate cancer.

Thu Oct 10

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Oct 10

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Oct 10

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar
Mike Loper, University of Minnesota
Thu Oct 10

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Oct 09

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Oct 09

PDE Seminar

3:35pm - Vincent Hall 570
Diffusion in the Mean for a Periodic Schrödinger Equation Perturbed by a Fluctuating Potential
Shiwen Zhang, UMN
Abstract:

We consider the solution to a tight-binding, periodic Schrödinger equation with a random potential evolving stochastically in time. If the potential evolves according to a stationary Markov process we obtain a positive, finite diffusion constant for the evolution of the solution. More generally, we show that the square amplitude of the wave packet, after diffusive rescaling, converges to a solution of the heat equation. (Joint work with J. Schenker and Z. Tilocco at the Michigan State University).

Wed Oct 09

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Oct 08

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Oct 08

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Oct 08

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Oct 08

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Oct 08

IMA Data Science Lab Seminar

1:25pm - Lind 305
LectureParallel Transport Convolutional Neural Networks on Manifolds
Rongjie Lai, Rensselaer Polytechnic Institute
Abstract:

Convolution has played a prominent role in various applications in science and engineering for many years. It is also the most important operation in convolutional neural networks (CNNs). There has been a recent growth of interests of research in generalizing CNNs on 3D objects, often represented as compact manifolds. However, existing approaches cannot preserve all the desirable properties of Euclidean convolutions, namely compactly supported filters, directionality, transferability across different manifolds. In this talk, I will discuss our recent work on a new way of defining convolution on manifolds via parallel transport. This geometric way of defining parallel transport convolution (PTC) provides a natural combination of modeling and learning on manifolds. PTC allows for the construction of compactly supported filters and is also robust to manifold deformations. I will demonstrate its applications to shape analysis using deep neural networks based on parallel transportation convolutional networks (PTC-net).

Dr. Rongjie Lai received his Ph.D. degree in applied mathematics from the University of California, Los Angeles, He is currently an assistant professor at the Rensselaer polytechnic Institute. Dr. Lai’s research interests are mainly in modern scientific computing including developing mathematical and computational tools for analyzing and processing signals, images as well as unorganized data using methods of variational partial differential equations, computational differential geometry and learning. In 2018, Dr. Lai was granted an NSF CAREER award for his research in geometry and learning for manifold-structured data in 3D and higher dimension.

Tue Oct 08

Climate Seminar

11:15am - Vincent Hall 570
Permafrost Response to Climate Change via Budyko’s Model
Richard McGehee, UMN
Mon Oct 07

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Nonuniqueness in Dynamical Systems
Richard McGehee, University of Minnesota
Abstract:

Discontinuous vector fields arise naturally in some applications. In this presentation, a simple classical model of ocean circulation is introduced as an example of how discontinuities give rise to nonunique solutions. Standard bifurcation techniques often fail when the vector field is not smooth, and certainly fail when the vector field is discontinuous. However, some topological techniques seem to carry over, and a crude birfurcation theory can be extended to a large class of discontinuous systems.

Mon Oct 07

Student Number Theory Seminar

3:35pm - Vincent Hall 1
A Tour of the p-adic Representation Theory of GL_2
Katy Weber
Abstract:

We summarize the classification of representations of GL_2 over a p-adic field, emphasizing the relationship between these representations and automorphic forms and L-functions. Time permitting, we will also discuss Whittaker models of these representations and the Casselman-Shalika formula. This talk is meant to be a sketch of these results and how they fit into the bigger picture, and should be accessible even if you are not very familiar with representation theory.

Mon Oct 07

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Oct 07

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Oct 07

Topology Seminar

2:30pm - Ford Hall 110
Topology Seminar

Mon Oct 07

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Oct 04

MCFAM Seminar

5:30pm - Vincent Hall 16
RANDOM RULES AND THE ANCIENT HISTORY OF SIMULATION
Arkady Shemyakin, University of St. Thomas&nbsp;
Abstract:

Modern approaches to simulation, involving Monte Carlo methods and randomized procedures of decision-making, are usually dated back to the mid-20th century and the arrival of the computer era. Deeper history goes back to the 19th and even 18th centuries and involves such devices as Galton’s board and Buffon’s needle. However, one can argue that long before the invention of computers, older devices such as dice and their predecessors have been effectively used for games and divination. The idea of this paper is to review the use of ancient randomizing devices to trace the history of simulation and random rules of decision-making. Special attention will be paid to some contemporary cultures, which have preserved some unique elements of their ancient history: native cultures of the Americas, the Celtic civilizations of Ireland and Scotland, and the indigenous peoples of Northern and Central Asia (Altai and Siberia).Bio: https://www.stthomas.edu/mathematics/faculty/arkady-shemyakin.html

Fri Oct 04

Probability Seminar

3:30pm - Vincent Hall 311
Invertibility of inhomogenuous heavy-tailed matrices
Galyna Livshyts, Georgia Tech
Abstract:

We will show the sharp estimate on the behavior of the smallest singular value of random matrices under very general assumptions. One of the key steps in the proof is a result about the efficient discretization of the unit sphere in an n-dimensional euclidean space. This result allows us to work with very general random matrices. The proof of the result will be outlined. Partially based on the joint work with Tikhomirov and Vershynin.

Fri Oct 04

Combinatorics Seminar

3:30pm - Vincent Hall 570
Higher cluster categories and QFT dualities
Gregg Musiker
Abstract:

We present a unified mathematical framework that elegantly describes minimally supersymmetric gauge theories in various dimensions, and their dualities. Though this approach utilizes higher Ginzburg algebras and higher cluster categories (also known as m-cluster categories), we show that the constructions can be given explicitly and combinatorially. We emphasize the connections to cluster algebras and two classes of examples: one class related to toric geometry and giving rise to brane bricks, which are 3-dimensional analogues of certain bipartite graphs on surfaces, and one class corresponding to higher partial triangulations of surfaces. This is based on joint work with Sebastian Franco of City College of New York. No prior knowledge of Quantum Field Theories or Cluster Algebras will be assumed.

Fri Oct 04

Probability Seminar

2:30pm - Vincent Hall 311
Reconstruction problems on amenable graphs
Ahmed El Alaoui, Stanford University
Abstract:

We consider the problem of reconstructing a hidden assignment of random variables (x_1,…, x_n) sitting on the nodes of a graph, given noisy observations of pairs (x_u, x_v) for every edge (u,v) of the graph. Such problems have been extensively studied when the underlying graph is ‘mean-field’ (e.g., the complete graph, Erdos-Renyi, random regular,…), in which case the existence of a ``possible-but-hard’’ phase where reconstruction is possible but computationally difficult is ubiquitous.

In contrast, the picture is dramatically different when the graph is amenable. I will represent a generic result about the optimality of local algorithms for computing marginals under a somewhat strong model of side information. Next, I will focus on Z_2 synchronization (aka planted Ising model) on the Euclidean lattice with weaker side information, and discuss a renormalization-based procedure for reconstructing the assignment.

Joint work with Andrea Montanari.

Fri Oct 04

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Oct 04

Special Events and Seminars

1:25pm - Vincent Hall 213
"Trace Formula, I"
Steven Sperber, University of Minnesota
Thu Oct 03

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Oct 03

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Oct 03

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Linkage, and the licci conjecture on grade 3 perfect ideals
Mahrud Sayrafi, University of Minnesota
Abstract:

Let Q be a regular local ring. An ideal I in Q is said to be licci if it is in the linkage class of a complete intersection. Christensen, Veliche and Weyman conjectured that a perfect ideal of grade 3 in Q is licci if and only if its free resolution corresponds to Dynkin diagrams.

After introducing the theory of linkage, I will talk about the conjecture, how Dynkin diagrams are involved, and their approach in showing one direction of the conjecture in arXiv:1712.04016.

Thu Oct 03

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Thu Oct 03

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Language and Interaction in Minecraft
Arthur Szlam, Facebook
Abstract:

I will discuss a research program aimed at building a Minecraft assistant, in order to facilitate the study of agents that can complete tasks specified by dialogue, and eventually, to learn from dialogue interactions. I will describe the tools and platform we have built allowing players to interact with the agents and to record those interactions, and the data we have collected. In addition, I will describe an initial agent from which we (and hopefully others) can iterate.

Wed Oct 02

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Oct 02

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed Oct 02

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Oct 01

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Oct 01

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Oct 01

Dynamical Systems

2:30pm - Vincent Hall 209
Relative equilibrium configurations of gravitationally interacting rigid bodies
Rick Moeckel, University of Minnesota
Abstract:

Consider a collection of n rigid, massive bodies interacting according to their mutual gravitational attraction. A relative equilibrium motion is one where the entire configuration rotates rigidly and uniformly about a fixed axis — all of the bodies are phase locked. Such a motion is possible only for special positions and orientations of the bodies. A minimal energy motion is one which has the minimum possible energy in its fixed angular momentum level. While every minimal energy motion is a relative equilibrium motion, the main result here is that a relative equilibrium motion of n >= 3 disjoint rigid bodies is never an energy minimizer. Since energy minimizers are the expected final states produced by tidal interactions, phase locking of 3 or more bodies will not occur.

Tue Oct 01

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Oct 01

IMA Data Science Lab Seminar

1:25pm - Lind 305
Citizen Science and Machine Learning at Zooniverse
Darryl Wright, University of Minnesota, Twin Cities
Abstract:

As researchers gather ever-larger datasets there is an increasing demand for citizen science and reliance on machine learning. We will introduce Zooniverse, the world's largest citizen science platform, and show how citizen scientists are helping researchers extract meaningful information from their data. But the demand for citizen scientists and the volumes of data they are being asked to process is beginning to tax even the abilities of our 1.8 million volunteers. We will show how machine learning is being deployed to ease some of this burden and show how machine learning and citizen science can empower each other to process data more efficiently than either alone.

Tue Oct 01

Climate Seminar

11:15am - Vincent Hall 570
"An Introduction to Budyko's Energy Balance Model"
Richard McGehee
Mon Sep 30

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Sep 30

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Leading up to Dirichlet’s class number formula
Dev Hegde
Abstract:

The talk will give a historical introduction to number theory leading up to Dirichlet’s class number formula which was one of the biggest achievements of analytic methods in number theory. No background is necessary to understand the talk.

Mon Sep 30

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Sep 30

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Sep 30

Topology Seminar

2:30pm - Ford Hall 110
Mysterious Duality
Sasha Voronov, University of Minnesota
Abstract:

“Mysterious Duality” was discovered by Iqbal, Neitzke, and Vafa in 2001. They noticed that toroidal compactifications of M-theory lead to the same series of combinatorial objects as del Pezzo surfaces do, along with numerous mysterious coincidences: both toroidal compactifications and del Pezzo surfaces give rise to the exceptional series E_k; the U-duality group corresponds to the Weyl group W(E_k), arising also as a group of automorphisms of the del Pezzo surface; a collection of various M- and D-branes corresponds to a set of divisors; the brane tension is related to the “area” of the corresponding divisor, etc. The mystery is that it is not at all clear where this duality comes from. In the talk, I will present another series of mathematical objects: certain versions of multiple loop spaces of the sphere S^4, which are, on the one hand, directly connected to M-theory and its combinatorics, and, on the hand, possess the same combinatorics as the del Pezzo surfaces. This is a report on an ongoing work with Hisham Sati.

Mon Sep 30

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Sep 27

MCFAM Seminar

5:30pm - Vincent Hall 16
Positive Matrices and Derivative Models
Carlos Tolmasky, University of Minnesota&nbsp;
Abstract:

Principal components analysis has become widely used in a variety of fields. In finance and, more specifically, in the theory of interest rate derivative modeling, its use has been pioneered by R. Litterman and J. Scheinkman. Their key finding was that a few components explain most of the variance of treasury zero-coupon rates and that the first three eigenvectors represent level, slope and curvature changes on the curve. This result has been, since then, observed in various markets.Over the years, there have been several attempts at modeling correlation matrices displaying the observed effects as well as trying to understand what properties of the those matrices are responsible for the effect. Using recent results of the theory of positive matrices we characterize these matrices and, as an application, we shed light on some of the critiques to this methodology.Bio: http://mcfam.math.umn.edu/people/carlos-tolmasky

Fri Sep 27

Combinatorics Seminar

3:30pm - Vincent Hall 570
A positivity phenomenon in Elser's Gaussian-cluster percolation model
Galen Dorpalen-Barry, University of Minnesota
Abstract:

Veit Elser proposed a random graph model for percolation in which physical dimension appears as a parameter. Studying this model combinatorially leads naturally to the consideration of numerical graph invariants which we call \textit{Elser numbers} \text{els}_k(G), where G is a connected graph and k a nonnegative integer. Elser had proven that \text{els}_1(G)=0 for all G. By interpreting the Elser numbers as Euler characteristics of appropriate simplicial complexes called \emph{nucleus complexes}, we prove that for all graphs G, they are nonpositive when k=0 and nonnegative for k\geq2. The last result confirms a conjecture of Elser. At the end, we will present an open problem naturally arising from our proof of Elser's conjecture.

Fri Sep 27

Probability Seminar

2:30pm - Vincent Hall 311
Random matrices, operators and analytic functions
Benedek Valko, UW Madison
Abstract:

The finite circular beta-ensembles and their point process scaling limit can be represented as the spectra of certain random differential operators. These operators can be realized on a single probability space so that the point process scaling limit is a consequence of an operator level limit. The construction allows the derivation of the scaling limit of the normalized characteristic polynomials of the finite models to a random analytic function. I will review these representations and constructions, and present a couple of applications.

Joint with B. Virág (Toronto).

Fri Sep 27

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Sep 27

Special Events and Seminars

1:25pm - Vincent Hall 213
A p-adic analytic interpolation of a finite field character, II
Steven Sperber, University of Minnesota
Fri Sep 27

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 305
Sampling from an Alternate Universe: Overview of Privacy-preserving Synthetic Data
Christine Task, Knexus Research Corporation
Abstract:

Data accessibility is important--publicly available data-sets support vital social science research, social programs and data-informed governance. In recent years, an increasing amount of data has been curated and made generally available through sites like data.gov, IPUMS, and other resources, fueling the progress of research in Big Data. However, data with the most potential value for public good can also be the most privacy sensitive--such as data on abuse, STDS, extreme poverty, or mental health. These datasets exist, but may be redacted or entirely withheld from public view due to legal restrictions and the very real danger that anonymized individuals may be reidentified.

Privacy-preserving synthetic data provides a pathway to publicly release datasets that contain very sensitive information. The basic process consists of three parts: A generative model is built which captures the distribution of the original sensitive data, perturbation steps are applied to the model to improve its privacy properties (either formal or heuristic-based), and then the model is used to synthesize a new data set of synthetic individuals. The synthetic dataset preserves the significant properties of the original data, but because it contains no real people, it can be safely released to the public. When the distributional difference between the real and synthetic data mimics the difference between two subsamples of the original data, i.e. when privacy error mimics sampling error, we can think of the synthetic data as survey results from a parallel dimension: The same pattern of information as the original data, with no real people.

In this talk, I'll cover approaches to creating synthetic data, the difference between formal and heuristic-based privacy, and, importantly, quality metrics used to verify that the synthetic data is a good substitute for the original data (a challenging problem itself in a high dimensional feature space). High quality synthetic data is a rapidly progressing research area, with both promising success stories and an exciting frontier of open problems.

Thu Sep 26

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Sep 26

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Sep 26

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Global Sections of Toric Vector Bundles
Jorin Schug
Abstract:

This talk will continue to follow the "Parliament of Polytopes" paper by Di Rocco, Jabbusch, and Smith. I'll discuss the result that the T-equivariant generators for the global sections of a toric vector bundle E correspond to the lattice points in the parliament of polytopes for E and look to understand this result for some examples, including direct sums of line bundles.

Thu Sep 26

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Wed Sep 25

PDE Seminar

3:35pm - Vincent Hall 570
Random Tug of War games for the p-Laplacian
Marta Lewicka, University of Pittsburgh
Abstract:

We propose a new dynamic programming principle related to the Dirichlet problem for the homogeneous p-Laplace equation in connection with the Tug of War games with noise. We also discuss similar approximations in presence of the Robin boundary conditions. For the proofs, we use martingale techniques involving various couplings of random walks and yielding estimates on the involved probabilistic representations.

Wed Sep 25

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Sep 25

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Sep 24

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Sep 24

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Sep 24

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Sep 24

IMA Data Science Lab Seminar

1:25pm - Lind 305
The Geometry of Ambiguity in One-dimensional Phase Retrieval
Dan Edidin, University of Missouri
Abstract:

The phase retrieval problem is the problem of reconstructing an unknown signal from its Fourier intensity function. This problem has a long history in physics and engineering and occurs in contexts such as X-ray crystallography, speech processing and computational biology. As stated, the phase retrieval problem is ill-posed as there may be up to $2^N$ non-equivalent signals (called ambiguities) with the same Fourier intensity function. To enforce uniqueness additional constraints must be imposed.

In this talk we discuss the geometry of the space of ambiguities obtained by varying the signal. By understanding this geometry we prove a general result characterizing constraints that enforce a unique solution to the phase retrieval problem. This result was applied in work with Tamir Bendory and Yonina Eldar on blind phaseless short-time Fourier transform recovery.

Tue Sep 24

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology
TBA
Tue Sep 24

Climate Seminar

11:15am - Vincent Hall 570
An Introduction to Planetary Energy Balance
Richard McGehee, University of Minnesota
Mon Sep 23

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Sep 23

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Elliptic Curves
Claire Frechette
Mon Sep 23

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 6
Applied and Computational Mathematics Seminar

Mon Sep 23

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Sep 23

Topology Seminar

2:30pm - Ford Hall 110
Homology class of Deligne-Lusztig varieties
Dongkwan Kim, University of Minnesota
Abstract:

Since first defined by Deligne and Lusztig, a Deligne-Lusztig variety has become unavoidable when studying the representation theory of finite groups of Lie type. This is a certain subvariety of the flag variety of the corresponding reductive group, and its cohomology groups are naturally endowed with the action such finite groups, which in turn gives a decomposition of irreducible representations called Lusztig series. In this talk, I will briefly discuss the background of Deligne-Lusztig theory and provide a formula to calculate the homology class of Deligne-Lusztig varieties in the Chow group of the flag variety. If time permits, I will also discuss their analogues.

Mon Sep 23

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Sep 20

MCFAM Seminar

5:30pm - Vincent Hall 16
MCFAM Student Research - Outcome analysis of Indexed Universal Life Insurance based on Monte Carlo Simulation
Songyu Yan and Ian Luo, University of Minnesota
Abstract:

Indexed Universal Life (IUL) Insurance was developed to harness thepower of equity market returns with downside protection. However IUL iscurrently illustrated using a static credited rate which masks market returnvolatility inherent in its structure. As a result, what policyholders see as expectedperformance maybe far from reality in many cases. In our research, we modeledthe pricing algorithms of major IUL products and applied scenario testing usingMonte Carlo simulation of indices used in IUL products. The statistical variance ofindices leads to vastly different results than what is currently demonstrated inmany cases, and this variance may cause the failure of the policy. Our researchindicates a better method for demonstrating policy performance would be basedon an outcome analysis rather than the static method currently in use.Bios: Songyu Yan: https://www.linkedin.com/in/songyu-yan-826bb2126/          Ian Luo: https://www.linkedin.com/in/yifei-luo-9051b1170/

Fri Sep 20

Combinatorics Seminar

3:30pm - Vincent Hall 570
Cyclic Sieving for planet partitions and symmetry
Sam Hopkins., University of Minnesota
Abstract:

The cyclic sieving phenomenon of Reiner, Stanton, and White says that we can often count fixed points for a cyclic group acting on a combinatorial set by plugging roots of unity into a polynomial related to this set. One of the most impressive instances of the cyclic sieving phenomenon is a theorem of Rhoades asserting that the set of plane partitions in a rectangular box under the action of promotion exhibits cyclic sieving. In Rhoades's result the sieving polynomial is the size generating function for these plane partitions, which has a well-known product formula due to MacMahon. We extend Rhoades's result by studying the interaction of promotion with symmetries of plane partitions. We obtain cyclic sieving-like formulas in this context where the relevant polynomial is the size generating function for symmetric plane partitions, whose product formula was conjectured by MacMahon and proved by Andrews. We then go on to consider the way the symmetries interact with rowmotion, another operator acting on plane partitions which is closely related to promotion. We end by explaining the connection of our work to some earlier conjectures we made concerning rowmotion acting on the P-partitions of various “triangular” posets P.

Fri Sep 20

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Sep 20

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Sep 20

Special Events and Seminars

1:25pm - Vincent Hall 213
A p-adic analytic interpolation of a finite field character
Steven Sperber, University of Minnesota
Fri Sep 20

IMA/MCIM Industrial Problems Seminar

1:25pm - Lind 409
SIAM Industrial Panel
-, -
Thu Sep 19

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Sep 19

Colloquium

3:35pm - Vincent Hall 16
The Langlands Program: An Introduction and Recent Progress
Solomon Friedberg,, Boston College
Abstract:

The Langlands Program, connecting algebra, analysis and geometry in diverse ways, is foundational to modern number theory. I will introduce this program and indicate some recent progress. As we shall see, a great deal still remains to be done.

Thu Sep 19

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Sep 19

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar

Thu Sep 19

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
D=4, N=1 Compactifications of Maximal Supergravities via Generalised Geometry - Kahler potentials, superpotentials and moduli
David Tennnyson, Imperial College London
Abstract:

We analyse compactifications of 11 dimensional or type II supergravity down to 4 dimensional Minkowski space for generic flux and generic internal Killing spinors. We note the failure of conventional differential geometry to capture the generic features of the theory and show that the correct formalism comes in the form of a closed form Leibniz algebroid - or as we call it in the physics community, generalised geometry. Our structure is similar to the generalised geometry of Hitchin, but now the structure group is the non-compact exceptional group E_{7(7)}x R^{+}. It turns out that having N=1 supersymmetry in the effective theory on Minkowski space is equivalent to an integrable SU(7) structure on the generalised tangent bundle. We provide the tensors that define the SU(7) structure and give the integrability conditions. Finally we provide an expression for the Kahler potential on the space of structures, the superpotential of the lower dimensional theory, and we explore the moduli of these structures giving explicit answers in certain cases.

Wed Sep 18

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Sep 18

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed Sep 18

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Siegel's extensions of Epstein zeta functions as Eisenstein series
Paul Garrett, University of Minnesota
Tue Sep 17

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Sep 17

Colloquium

3:30pm - Vincent Hall 16
Colloquium

Tue Sep 17

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Sep 17

IMA Data Science Lab Seminar

1:25pm - Lind 305
Optimal Recovery under Approximability Models, with Applications
Simon Foucart, Texas A & M University
Abstract:

For functions acquired through point evaluations, is there an optimal way to estimate a quantity of interest or even to approximate the functions in full? We give an affirmative answer to this question under the novel assumption that the functions belong to a model set defined by approximation capabilities. In fact, we produce implementable linear algorithms that are optimal in the worst-case setting. We present applications of the abstract theory in atmospheric science and in system identification.

Dr. Simon Foucart earned a Masters of Engineering from the Ecole Centrale Paris and a Masters of Mathematics from the University of Cambridge in 2001. In 2006, he received his Ph.D. in Mathematics at the University of Cambridge, specializing in Approximation Theory. After two postdoctoral positions at Vanderbilt University and Université Paris 6, he joined Drexel University in 2010 before moving to the University of Georgia in 2013. Since 2015, he has been with Texas A&M University, where is now professor. His recent work focuses on the field of Compressive Sensing, whose theory is exposed in the book ‘A Mathematical Introduction to Compressive Sensing’ he coauthored with Holger Rauhut. Dr. Foucart’s research was recognized by the Journal of Complexity, from which he received the 2010 Best Paper Award. Dr. Foucart’s current interests also include the mathematical aspects of Metagenomics, Optimization, Deep Learning and Data Science at Large

Tue Sep 17

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Tue Sep 17

Climate Seminar

11:15am - Vincent Hall 570
The Scientific Case for Anthropogenic Warming II
Richard McGehee, University of Minnesota
Mon Sep 16

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Applied and Computational Math Colloquium

Mon Sep 16

Student Number Theory Seminar

3:35pm - Vincent Hall 1
A Brief Introduction to L-Functions
Joe Dickinson
Abstract:

Like Andy's talk last week, this week will be another introductory talk; the topic is L-functions. We will start with a discussion of Dirichlet's use of L-series to show the infinitude of primes in arithmetic progressions, then proceed to how L-functions have become a major area of investigation. We will discuss only a sampling of topics, with the goal of motivating interest and setting the stage for future talks.

Mon Sep 16

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Sep 16

Topology Seminar

2:30pm - Ford Hall 110
Transfer in the homology and cohomology of categories
Peter Webb, University of Minnesota
Abstract:

The cohomology of a category has many properties that extend those that are familiar when the category is a group. Second cohomology classifies equivalence classes of category extensions, first cohomology parametrizes conjugacy classes of splittings, first homology is the abelianization of the fundamental group, and second homology has a theory that extends that of the Schur multiplier. Defining restriction and corestriction maps on the homology of categories is problematic: most attempts to do this require induction and restriction functors to be adjoint on both sides, and this typically does not happen with categories. We describe an approach to defining these maps that includes all the situations where they can be defined in group cohomology, at least when the coefficient ring is a field. The approach uses bisets for categories, the construction by Bouc and Keller of a map on Hochschild homology associated to a bimodule, and the realization by Xu of category cohomology as a summand of Hochschild cohomology.

Mon Sep 16

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Sep 13

MCFAM Seminar

5:30pm - Vincent Hall 16
MFM Alumni/Student Panel: How the MFM Prepares You to Enter the Field of Quantitative Finance
MFM Alumni/Student Panel, Master of Financial Mathematics Program (MFM)
Abstract:

Learn from current students and MFM alumni in industry about the benefits of this professional master program. Panelists will talk about what attracted them to the program, how to make the most of your time in the MFM and why the practical, real-world learning helps you land jobs in quantitative risk analysis, hedging, trading, portfolio management, fintech, data analytics and other jobs that are hot in the field right now.

Fri Sep 13

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar

Fri Sep 13

Probability Seminar

2:30pm - Vincent Hall 311
Critical behavior for percolation on graphs with given degrees
Souvik Dhara, MIT
Abstract:

We discuss critical behavior of percolation on finite random networks. In a seminal paper, Aldous (1997) identified the scaling limit for the component sizes in the critical window of phase transition for the Erdos-Renyi random graph (ERRG). Subsequently, there has been a surge in the literature, revealing several interesting scaling limits of these critical components, namely, the component size, diameter, or the component itself when viewed as a metric space. Fascinatingly, when the third moment of the asymptotic degree distribution is finite, many random graph models have been shown to exhibit a universality phenomenon in the sense that their scaling exponents and limit laws are the same as the ERRG. In contrast, when the asymptotic degree distribution is heavy-tailed (having an infinite third moment), the limit law turns out to be fundamentally different from the ERRG case and in particular, becomes sensitive to the precise asymptotics of the highest degree vertices.

In this talk, we will focus on random graphs with a prescribed degree sequence. We start by discussing recent scaling limit results, and explore the universality classes that arise from heavy-tailed networks. Of particular interest is a new universality class that arises when the asymptotic degree distribution has an infinite second moment. Not only it gives rise to a completely new universality class, it also exhibits several surprising features that have never been observed in any other universality class so far.

This is based on joint works with Shankar Bhamidi, Remco van der Hofstad, Johan van Leeuwaarden and Sanchayan Sen.

Fri Sep 13

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Sep 13

Special Events and Seminars

1:25pm - Vincent Hall 213
"p-Adic Cohomology, Exponential Sums, and Hypergeometric Functions
TBA
Fri Sep 13

Probability Seminar

9:30am -
CANCELLED

Thu Sep 12

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Sep 12

Colloquium

3:35pm - Vincent Hall 16
Colloquium

Thu Sep 12

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar

Thu Sep 12

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Wed Sep 11

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Sep 11

PDE Seminar

3:35pm - Vincent Hall 570
Parabolic problems with rough coefficients
Pierre Portal,, Australian National University
Abstract:

Using form methods, one can solve linear parabolic PDE in divergence form with $L^2$ data in appropriate energy spaces, even when the coefficients are merely bounded measurable in time and space, and no maximum principle is available. This goes back, at least, to the work of Lions and his school in the 1950s. When dealing with $L^p$ data, it is not so clear which $L^p$ like solution space one should use as a replacement of Lions’ energy space. Depending on the choice, one can solve, for instance, time dependent single equations (Aronson 1968), time independent systems for a range of values of $p$ (Auscher 2005), or stochastic problems with some spatial regularity (starting with Krylov 1994).
In this talk, I explain that, by choosing tent spaces as solution spaces (inspired by their role in elliptic boundary value problems on rough domains), one gets fairly general results, including both deterministic and stochastic problems, all values of $p$, systems as well as single equations, and rough coefficients in both time and space.

This summarises joint works with Pascal Auscher, Sylvie Monniaux, Jan van Neerven, and Mark Veraar.

Wed Sep 11

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 213
Automorphic Forms and Number Theory

Tue Sep 10

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Sep 10

Colloquium

3:30pm - VinH 16
Colloquium

Tue Sep 10

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Sep 10

IMA Data Science Lab Seminar

1:25pm - Lind 305
Taming Nonconvexity: From Smooth to Nonsmooth Problems and Beyond
Ju Sun, University of Minnesota, Twin Cities
Abstract:

Most applied problems we encounter can be naturally written as nonconvex optimization, for which
obtaining even a local minimizer is computationally hard in theory, never mind the global minimizer. In practice, however, simple numerical methods often work surprisingly well in finding high-quality solutions, e.g., training deep neural networks.

In this talk, I will describe our recent effort in bridging the mysterious theory-practice gap for nonconvex optimization, in the context of solving practical problems in signal processing, machine learning, and scientific imaging. 1) I will highlight a family of smooth nonconvex problems that can be solved to global optimality using simple numerical methods, independent of initialization. 2) The discovery, however, does not cover nonsmooth functions, which are frequently used to encode structural objects (e.g., sparsity) or achieve robustness. I will introduce tools from nonsmooth analysis, and demonstrate how nonsmooth, nonconvex problems can also be analyzed and solved in a provable manner. 3) Toward the end, I will provide examples to show how innovative problem formulation and physical design can help to tame nonconvexity.

Ju Sun is an assistant professor at the computer science & engineering department, University of Minnesota at Twin Cities. Prior to this, he was a postdoctoral scholar at Stanford University,
working with Professor Emmanuel Cand?s. He received his Ph.D. degree from Electrical Engineering of Columbia University in 2016 (2011--2016) and B.Eng. degree in Computer Engineering (with a minor in Mathematics) from the National University of Singapore in 2008 (2004--2008). His research interests span computer vision, machine learning, numerical optimization, signal/image processing, and high-dimensional data analysis. Recently, he is particularly fascinated by why simple numerical methods often solve nonconvex problems surprisingly well (on which he maintains a bibliographic webpage: http://sunju.org/research/nonconvex/ ) and the implication on representation learning. He won the best student paper award from SPARS'15 and honorable mention of doctoral thesis for the New World Mathematics Awards (NWMA) 2017.

Tue Sep 10

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Tue Sep 10

Climate Seminar

11:15am - Vincent Hall 570
"The Scientific Case for Anthropogenic Warming"
Richard McGehee, University of Minnesota
Mon Sep 09

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 207
Emergent behavior in collective dynamics
Eitan Tadmor, University of Maryland
Abstract:

Collective dynamics is driven by alignment that tend to self-organize the crowd and by different external forces that keep the crowd together. Different emerging equilibria are self-organized into clusters, flocks, tissues, parties, etc.

I will overview recent results on the hydrodynamics of large-time, large-crowd collective behavior, driven by different “rules of engagement”. In particular, I address the question how short-range interactions lead, over time, to the emergence of long-range patterns, comparing geometric vs. topological interactions.

Mon Sep 09

Student Number Theory Seminar

3:35pm - Vincent Hall 1
Student Number Theory Seminar

Mon Sep 09

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Sep 09

Topology Seminar

2:30pm - Ford Hall 110
Cohomology of the space of complex irreducible polynomials in several variables
Weiyan Chen, University of Minnesota
Abstract:

We will show that the space of complex irreducible polynomials of degree d in n variables satisfies two forms of homological stability: first, its cohomology stabilizes as d increases, and second, its compactly supported cohomology stabilizes as n increases. Our topological results are inspired by counting results over finite fields due to Carlitz and Hyde.

Mon Sep 09

Cockburn's Seminar

2:30pm - Ford Hall B15
Cockburn's Seminar

Fri Sep 06

Combinatorics Seminar

3:30pm - Vincent Hall 570
Combinatorics Seminar

Fri Sep 06

Probability Seminar

2:30pm - Vincent Hall 311
Probability Seminar

Fri Sep 06

Reading Seminar on Automorphic Forms

1:30pm - Vincent Hall 1
Reading Seminar on Automorphic Forms

Fri Sep 06

Probability Seminar

9:30am -
CANCELLED

Thu Sep 05

Student Combinatorics Seminar

4:40pm - Vincent Hall 570
Student Combinatorics and Algebra seminar

Thu Sep 05

Colloquium

3:35pm - Vincent Hall 16
Colloquium - Canceled
Alina Chertock, NSCU
Abstract:

Chemotaxis is a movement of micro-organisms or cells towards the areas of high concentration of a certain chemical, which attracts the cells and may be either produced or consumed by them. In its simplest form, the chemotaxis model is described by a system of nonlinear PDEs: a convection-diffusion equation for the cell density coupled with a reaction- diffusion equation for the chemoattractant concentration. It is well-known that solutions of such systems may develop spiky structures or even blow up in finite time provided the total number of cells exceeds a certain threshold. This makes development of numerical methods for chemotaxis systems extremely delicate and challenging task.

In this talk, I will present a family of high-order numerical methods for the Keller-Segel chemotaxis system and several related models. Applications of the proposed methods to to multi-scale and coupled chemotaxis–fluid system and will also be discussed.

Thu Sep 05

Commutative Algebra Seminar

2:30pm - Vincent Hall 209
Commutative Algebra Seminar

Thu Sep 05

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Wed Sep 04

Student Number Theory Seminar

3:35pm - Vincent Hall 6
Student Number Theory Seminar

Wed Sep 04

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Tue Sep 03

Special Events and Seminars

4:30pm - Vincent Hall 301
Arithmetic Geometry Seminar

Tue Sep 03

Colloquium

3:30pm - VinH 16
Colloquium

Tue Sep 03

Dynamical Systems

2:30pm - Vincent Hall 209
Dynamical Systems Seminar

Tue Sep 03

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry and Sympletic Topology

Tue Sep 03

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Sep 02

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri Aug 30

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Aug 30

Probability Seminar

9:30am -
CANCELLED

Thu Aug 29

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Tue Aug 27

Climate Seminar

11:15am - Vincent Hall 570
Climate Seminar
TBA
Mon Aug 26

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri Aug 23

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Aug 23

Probability Seminar

9:30am -
CANCELLED

Mon Aug 19

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri Aug 16

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Aug 16

Probability Seminar

9:30am -
CANCELLED

Wed Aug 14

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Aug 12

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Aug 12

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Aug 09

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Aug 09

Probability Seminar

9:30am -
CANCELLED

Wed Aug 07

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Aug 05

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Aug 05

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Aug 02

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Aug 02

Probability Seminar

9:30am -
CANCELLED

Wed Jul 31

Combinatorics Seminar

3:35pm - Vincent Hall 16
Hurwitz action of reflection factorizations of Coxeter elements
Sophiane Yahiatene, Bielefeld University
Abstract:

In the talk we will investigate a natural braid group action on factorizations of elements in reflection groups. In particular, we will consider reflection factorizations of Coxeter elements in Coxeter groups of finite rank and state conditions whether two factorizations lie in the same orbit under the natural action. The presented result extends the investigation of Lewis - Reiner (arXiv:1603.05969) to arbitrary Coxeter groups of finite rank. (j.w. Patrick Wegener)

Wed Jul 31

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jul 29

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 29

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jul 26

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jul 26

Probability Seminar

9:30am -
CANCELLED

Wed Jul 24

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Tue Jul 23

Combinatorics Seminar

3:35pm - Vincent Hall 113
Enumeration of bounded lecture hall tableaux
Jang Soo Kim,, Sungkyunkwan University
Abstract:

Recently Corteel and Kim introduced lecture hall tableaux in their study of multivariate little q-Jacobi polynomials. In this talk, we enumerate bounded lecture hall tableaux. We show that their enumeration is closely related to standard and semistandard Young tableaux. We also show that the number of bounded lecture hall tableaux is the coefficient of the Schur expansion of s?(m+y1,...,m+yn). To prove this result, we use two main tools: non-intersecting lattice paths and bijections. In particular we use ideas developed by Krattenthaler to prove bijectively the hook content formula. This is joint work with Sylvie Corteel.

Mon Jul 22

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 22

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jul 19

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jul 19

Probability Seminar

9:30am -
CANCELLED

Thu Jul 18

Combinatorics Seminar

3:35pm - Vincent Hall 16
Fibers of maps to totally nonnegative spaces and the Fomin-Shapiro Conjecture
Patricia Hersh, North Carolina State University
Abstract:

Anders Björner and Joseph Bernstein raised the question of finding regular CW complexes naturally arising from representation theory having the intervals of Bruhat order as their posets of closure relations. Sergey Fomin and Michael Shapiro conjectured a solution, namely the link of the identity in the totally nonnegative real part of the unipotent radical of a Borel in a semisimple, simply connected algebraic group defined and split over the reals together with a family of related spaces indexed by the different Coxeter group elements. The Fomin-Shapiro conjecture indeed proved to be true, with the proof utilizing an interpretation of these stratified spaces as images of an intriguing family of maps - maps also arising in work of Lusztig related to canonical bases. I will start by reviewing some highlights of this story, then turn to recent joint work with Jim Davis and Ezra Miller regarding the structure of the fibers of these same maps.

Wed Jul 17

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jul 15

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 15

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jul 12

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jul 12

Probability Seminar

9:30am -
CANCELLED

Wed Jul 10

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jul 08

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 08

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jul 05

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jul 05

Probability Seminar

9:30am -
CANCELLED

Wed Jul 03

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jul 01

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jul 01

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jun 28

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jun 28

Probability Seminar

9:30am -
CANCELLED

Wed Jun 26

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jun 24

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 24

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jun 21

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jun 21

Probability Seminar

9:30am -
CANCELLED

Wed Jun 19

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jun 17

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 17

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Fri Jun 14

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jun 14

Probability Seminar

9:30am -
CANCELLED

Wed Jun 12

Special Events and Seminars

1:30pm - Vincent Hall 364
Summer Student Representation Theory Seminar

Mon Jun 10

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Jun 10

Special Events and Seminars

1:30pm - Vincent Hall 364
Basic Operations on Representations
Andy Hardt
Abstract:

We continue our crash course in finite group representation theory by looking at some important operations on representations.

We start by defining the group algebra of a finite group; group representations naturally biject with modules over the group algebra.

After that, we'll talk through a variety of ways to construct new representations from old, such as restriction, induction, inflation, tensor product, and we may even squeeze in symmetric and exterior powers.

Fri Jun 07

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri Jun 07

Probability Seminar

9:30am -
CANCELLED

Thu Jun 06

Combinatorics Seminar

3:35pm - Vincent Hall 113
Chicken Nuggets and Numerical Semigroups
Ayomikun Adeniran, Texas A&M
Abstract:

A numerical semigroup is a subset of N that is closed under addition, contains 0 and has finite complement in N. There are several fundamental invariants of a numerical semigroup S among which are the Frobenius number and genus of S, denoted F(S) and g(S), respectively. The quotient of a numerical semigroup S by a positive integer d is the set S/d={x|dx?S} which is also a numerical semigroup. In this talk, I will present some recent results showing the relation between the genus of S/d and the genus of S. If time permits, we will also talk about identities relating the Frobenius numbers and the genus of quotients of numerical semigroups that are generated by certain types of arithmetic progressions. This is joint work with S. Butler, C. Defant, Y. Gao, P.E. Harris, C. Hettle, Q. Liang, H. Nam, and A. Volk.

Wed Jun 05

Special Events and Seminars

2:00pm - Vincent Hall 570
AWM Talk
Mimi Boutin
Tue Jun 04

Special Events and Seminars

3:35pm - Vincent Hall 113
Special Events and Seminars

Tue Jun 04

Combinatorics Seminar

3:35pm - Vincent Hall 113
Counting core partitions and numerical semigroups using polytopes
Hayan Nam, University of California at Irvine
Abstract:

A partition is an aa-core partition if none of its hook lengths are divisible by aa. It is well known that the number of aa-core partitions is infinite and the number of simultaneous (a,b)(a,b)-core partitions is a generalized Catalan number if aa and bb are relatively prime. In the first half of the talk, we give an expression for the number of simultaneous (a1,a2,…,ak)(a1,a2,…,ak)-core partitions that is equal to the number of integer points in a polytope. In the second half, we discuss objects closely related to core partitions, called numerical semigroups, which are additive monoids that have finite complements in the set of non-negative integers. For a numerical semigroup SS, the genus of SS is the number of elements in ??SN?S and the multiplicity is the smallest nonzero element in SS. In 2008, Bras-Amorós conjectured that the number of numerical semigroups with genus gg is increasing as gg increases. Later, Kaplan posed a conjecture that implies Bras-Amorós conjecture. In this talk, we prove Kaplan's conjecture when the multiplicity is 4 or 6 by counting the number of integer points in a polytope. Moreover, we find a formula for the number of numerical semigroups with multiplicity 4 and genus gg.

Mon Jun 03

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri May 31

Climate Seminar

11:15am - 570 Vincent Hall
Climate Change Seminar
TBA
Fri May 31

Probability Seminar

9:30am -
CANCELLED

Wed May 29

Special Events and Seminars

1:30pm - Vincent Hall 206
Informal Fluids Seminar
Raj Beekie
Mon May 27

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri May 24

Probability Seminar

9:30am -
CANCELLED

Tue May 21

Math Physics Seminar

12:20pm - Vincent Hall 209
Second quantization of elliptic Calogero-Sutherland models
Bjorn Berntson
Abstract:

Calogero-Sutherland models are a class of completely integrable (quantum) many-body systems. In the most general case, particles interact pairwise through an elliptic potential. We discuss the second quantization of several elliptic Calogero-Sutherland models. In degenerate (trigonometric, rational) cases, there is a well-studied correspondence between Calogero-Sutherland systems and Benjamin-Ono equations, a nonlinear, integrable integro-differential equation. We discuss the correspondence in the elliptic regime, where second quantization of a particular system leads to a new two-component elliptic Benjamin-Ono equation. We construct a Lax pair for this equation via a Riemann-Hilbert problem on the torus. This is joint work with Edwin Langmann and Jonatan Lenells.

Mon May 20

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri May 17

Probability Seminar

9:30am -
CANCELLED

Thu May 16

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu May 16

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Tue May 14

Special Events and Seminars

3:30pm - Vincent Hall 570
Singularity formation for some solutions of the incompressible Euler equation
Tarek Elgindi
Abstract:

We describe a recent construction of self-similar blow-up solutions of the incompressible Euler equation. A consequence of the construction is that there exist finite-energy $C^{1,a}$ solutions to the Euler equation which develop a singularity in finite time for some range of $a>0$. The approach we follow is to isolate a simple non-linear equation which encodes the leading order dynamics of solutions to the Euler equation in some regimes and then prove that the simple equation has stable self-similar blow-up solutions.

Tue May 14

Math Physics Seminar

12:30pm - Vincent Hall 209
3rd order symmetries for systems on the 2-sphere and the 2 two-sheet 2-hyperboloid -- Superintegrability and cubic algebras
Willard Miller, University of Minnesota (Joint with Ian Marquette, University of Queensland, and Bjorn Berntson, KTH Royal Institute of Techn
Abstract:

There are many papers concerning 3rd and higher order superintegrable systems on 2D Euclidean space, particularly by Pavel Winternitz, his students and collaborators. However, we are not aware of similar studies on nonflat spaces. We decided to study the 2-sphere (with separation in polar coordinates) and the 2-hyperboloid (with separation in horospherical coordinates). The computations were very complex for these nonflat systems and the results less rich than for flat space, which is to be expected. In each case we have a Hamiltonian operator H a 2nd order symmetry operator A and compute a 3rd order symmetry operator B.
We classified the potentials which yielded

a nonzero B. They fall into 4 classes: 1) Systems that are 2nd order superintegrable, 2) Systems that are 3rd order superintegrable but do not generate a cubic algebra, 3) Systems with algebraically dependent generators A and B, 4) Systems that are 3rd order superintegrable with a cubic algebra.

We pay special attention to the class 3 cases which also occur for Euclidian space with little change. We call these functionally dependent superintegrable systems, and show that they always permit a computation of the A eigenfunctions by simple quadrature. For the hyperboloid we show that the TTW method applied to a 2nd order
superintegrable system in horospherical coordinates yields a 3rd order superintegrable system.

Tue May 14

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon May 13

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri May 10

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri May 10

Combinatorics Seminar

3:35pm - Vincent Hall 570
Facial weak order in hyperplane arrangements
Aram Dermenjian, UQAM
Abstract:

We discuss the facial weak order, a poset structure that extends the poset of regions on a central hyperplane arrangement to the set of all faces of the arrangement which was first introduced on the braid arrangements by Krob, Latapy, Novelli, Phan and Schwer. We provide various characterizations of this poset including a global one, a local one, one using covectors and a geometric one using the associated zonotope. We then show that the facial weak order is in fact a lattice for simplicial hyperplane arrangements, generalizing a result by Björner, Edelman and Zieglar showing the poset of regions is a lattice for simplicial arrangements. We end by stating some properties on the facial weak order.

Fri May 10

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri May 10

Probability Seminar

9:30am -
CANCELLED

Thu May 09

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu May 09

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu May 09

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu May 09

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu May 09

Student Number Theory Seminar

11:00am - Vincent Hall 213
Student Number Theory Seminar

Wed May 08

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed May 08

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed May 08

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Algebraic Representation Theory

Wed May 08

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Tue May 07

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue May 07

Math Physics Seminar

12:20pm - Vincent Hall 209
Polytopes and elliptopes in the foundations of quantum mechanics
Michael Janas and Michel Janssen, School of Physics and Astronomy, University of Minnesota
Abstract:

Bell's inequality for classical correlations is perhaps the most famous result in quantum foundations. Less familiar is the so-called Tsirelson bound, for the corresponding quantum correlations. We first review Bell's inequality in its original form, where one attempts to classically simulate the following quantum experiment: Alice and Bob independently measure a spin component of one of a pair of spin-1/2 particles entangled in the singlet state. We show that the resulting set of classical and quantum correlations allowed in this setup may be visualized as a tetrahedron and an elliptope, respectively, in three-dimensional space. We then consider how to generalize these results to the case of either more settings or more outcomes (i.e., higher spin). In the case of more than two outcomes, the restrictions on the classical simulations lead to high-dimensional polytopes and highly-faceted polyhedra. In the case of four settings we arrive at the Clauser-Horne-Shimony-Holt (CHSH) inequality, a form of the Bell inequality commonly used in experimental tests. In this context, we briefly discuss connections to semi-definite programming and the topic of spectrahedral shadows.

Tue May 07

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon May 06

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon May 06

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Classical Properties of Epstein zeta functions
Adrienne Sands, University of Minnesota
Mon May 06

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
On localizing and concentrating of electromagnetic fields
Yi-Hsuan Lin, University of Jyvaskyla
Abstract:

We consider field localizing and concentration of electromagnetic waves governed by the time-harmonic anisotropic Maxwell system in a bounded domain. It is shown that there always exist certain boundary inputs which can generate electromagnetic fields with energy localized/concentrated in a given subdomain while nearly vanishing in another given subdomain. The theoretical results may have potential applications in telecommunication, inductive charging and medical therapy. We also derive a related Runge approximation result for the time-harmonic anisotropic Maxwell system with partial boundary data.

Mon May 06

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon May 06

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon May 06

IMA Data Science Lab Seminar

1:25pm - Lind 305
Robust Accelerated Gradient Methods
Mert Gurbuzbalaban, Rutgers, The State University Of New Jersey
Abstract:

We study the problem of minimizing a strongly convex and smooth function when we have noisy estimates of its gradient. We propose a novel multistage accelerated algorithm that is universally optimal in the sense that it achieves the optimal rate both in the deterministic and stochastic case and operates without knowledge of noise characteristics. The algorithm consists of stages that use a stochastic version of Nesterov's accelerated algorithm with a specific restart and parameters selected to achieve the fastest reduction in the bias-variance terms in the convergence rate bounds.

Mert Gürbüzbalaban is an assistant professor at Rutgers University. Previously, he was a postdoctoral associate at the Laboratory for Information and Decision Systems (LIDS) at MIT. He is broadly interested in optimization and computational science driven by applications in large-scale information and decision systems. He received his B.Sc. degrees in Electrical Engineering and Mathematics as a valedictorian from Bo?aziçi University, Istanbul, Turkey, the “Diplôme d’ingénieur” degree from École Polytechnique, France, and the M.S. and Ph.D. degrees in (Applied) Mathematics from the Courant Institute of Mathematical Sciences, New York University.

Dr. Gürbüzbalaban received the Kurt Friedrichs Prize (given by the Courant Institute of New York University for an outstanding thesis) in 2013, Bronze Medal in the École Polytechnique Scientific Project Competition in 2006, the Nadir Orhan Bengisu Award (given by the electrical-electronics engineering department of Bo?aziçi University to the best graduating undergraduate student) in 2005 and the Bülent Kerim Altay Award from the Electrical-Electronics Engineering Department of Middle East Technical University in 2001. He received funding from a variety of sources including multiple programs at the U.S. National Science Foundation.

Fri May 03

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri May 03

Combinatorics Seminar

3:35pm - Vincent Hall 570
Combinatorics of cluster structures in Schubert varieties
Melissa Sherman-Bennett, UC Berkeley/Harvard
Abstract:

The (affine cone over the) Grassmannian is a prototypical example of a variety with "cluster structure"; that is, its coordinate ring is a cluster algebra. Scott (2006) gave a combinatorial description of this cluster algebra in terms of Postnikov's plabic graphs. It has been conjectured essentially since Scott's result that Schubert varieties also have a cluster structure with a description in terms of plabic graphs. I will discuss recent work with K. Serhiyenko and L. Williams proving this conjecture. The proof uses a result of Leclerc, who shows that many Richardson varieties in the full flag variety have cluster structure using cluster-category methods, and a construction of Karpman to build plabic graphs for each Schubert variety. Time permitting, I will also discuss our results on cluster structures on a larger class of positroid varieties, which involve the combinatorics of "generalized" plabic graphs.

Fri May 03

Lie Theory Seminar

2:30pm - Vincent Hall 6
Lie Theory Seminar

Fri May 03

Probability Seminar

2:30pm - Vincent Hall 213
The majority vote process on trees: convergence to equilibrium
Larry Gray, UMN
Abstract:

This is joint with Maury Bramson, who introduced our work last week and then spoke more particularly about the existence of uncountably many mutually singular equilibria in the majority vote process on a tree of vertex degree 5 and higher, whenever the noise rate is sufficiently small. Each equilibrium is associated with a different fixed point of the majority vote operation.

Natural question: If the system starts at (or near) one of these fixed points and the noise rate is small, does it converge to the corresponding equilibrium, and if so, how fast? Answering this question can tell us much about the properties of these equilibria, but standard techniques do not apply. I will describe a new method, based on the "graphical construction" of these systems, which shows exponentially quick convergence to equilibrium when the noise rate is sufficiently small. These methods apply to other models on trees, such as the stochastic Ising model, for which the convergence result was previously unknown.

This lecture is self-contained; essential features from the previous week will be included (with some new pictures).

Fri May 03

1:25pm - Lind 305
Startup vs. BigCo: Industry Experiences Compared
Ben Peirce, Samsung Research America
Abstract:

Choosing a career path in industry after spending years in academia can be daunting, particularly when deciding between working for a large company or a startup. In this talk, I'll discuss my experiences in both environments, and consider the pros and cons of each for people with more theoretical backgrounds.

Ben Peirce is Sr. Director of Development at Samsung Research America in Mountain View, CA, where his team builds analytics tools for mobile software services. He joined Samsung in 2018 through the acquisition of his virtual reality analytics startup, Vrtigo, where he served as CEO. Prior to co-founding Vrtigo, Ben spent a decade building analytics systems at several startups as either founder or early employee. He has a Ph.D. in engineering and S.M. in applied mathematics from Harvard, where he studied control theory and robotics, and a B.M.E. from the University of Minnesota.

Fri May 03

Ordway Lecture Series

1:25pm - Vincent Hall 301
Representations of Real Reductive Groups
Professor Kari Vilonen, University of Melbourne
Fri May 03

Probability Seminar

9:30am -
CANCELLED

Thu May 02

Colloquium

3:35pm - Vincent Hall 16
Singularity Formation in 3D Euler Equations and Related Models
Thomas Hou, Ordway Vsitor, Caltech
Abstract:

Whether the 3D incompressible Euler equations can develop a finite time singularity from smooth initial data is a long-standing open question in mathematical fluid dynamics. Recent computations have provided strong numerical evidence that the 3D Euler equations develop a finite time singularity from smooth initial data. I will report some recent progress in providing a rigorous justification of the singularity formation in the 3D Euler equations and related models.

Thu May 02

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu May 02

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu May 02

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu May 02

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu May 02

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu May 02

Student Number Theory Seminar

11:00am - Vincent Hall 213
Introduction to Langlands philosophy
Dev Hedge, University of Minnesota
Abstract:

We will give less precise but hopefully very motivational introduction to Langlands philosophy with many examples. A serious background in anything is not essential.

Thu May 02

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed May 01

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed May 01

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed May 01

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Jordan form data from the perspective of the derived category
Peter Webb, University of Minnesota
Abstract:

We show that certain sets of representations of Dynkin quivers are determined by their Jordan form data. The description is phrased in terms of the bounded derived category of representations of the quiver. This continues the study of the paper of Garver, Patrias and Thomas: Minuscule reverse plane partitions via quiver representations.

Wed May 01

PDE Seminar

3:35pm - Vincent Hall 570
PDE Seminar

Wed May 01

Ordway Lecture Series

1:25pm - Vincent Hall 301
Representations of Real Reductive Groups
Professor Kari Vilonen, University of Melbourne
Tue Apr 30

Colloquium

3:35pm - Vincent Hall 16
The NTRU Class of cryptosystems, lattices, and post quantum cryptography
Jeffrey Hoffstein, Brown University
Abstract:

I'll discuss the nature and origins of public key cryptography, and the dangers that the development of quantum computers pose to the security of the internet and virtually all cryptosystems presently in widespread use. All public key cryptographic systems are based on a hard mathematical problem, and I'll explain how, while originally despised, hard problems based on lattices have evolved to become the most promising direction for the development of quantum resistant cryptography. I'll focus on NTRU, the earliest effective and efficient public key cryptosystem, which was developed in 1996 by myself, Jill Pipher and Joe Silverman. I will also discuss the recent history of public key cryptography. The talk will require no previous knowledge of lattices or cryptography, and will be aimed at a wide audience.

Tue Apr 30

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Apr 30

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Apr 30

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon Apr 29

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Apr 29

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Mon Apr 29

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Apr 29

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Apr 29

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 29

IMA Data Science Lab Seminar

1:25pm - Lind 305
Solving Multiscale Problems with Subsampled Data by Integrating PDE Analysis with Data Science
Thomas Hou, California Institute of Technology
Abstract:

In many practical applications, we often need to provide solutions to quantities of interest to a large-scale problem but with only subsampled data and partial information of the physical model. Traditional PDE solvers cannot be used directly for this purpose. On the other hand, many powerful techniques have been developed in data science to represent and compress data for useful information. A crucial factor for the success of these methods is to exploit some low rank or sparsity structures in these high-dimensional data. In this talk, we will describe our recent effort in developing effective numerical methods to solve multiscale problems using subsampled data. The PDE analysis will help reveal certain important solution structures so that we can use techniques from data science to give accurate approximations for these quantities of interest.

Thomas Yizhao Hou is the Charles Lee Powell professor of applied and computational mathematics at Caltech. His research interests are centered around developing mathematical analysis and effective computational methods for vortex dynamics, interfacial flows, multiscale problems and data analysis. He received his Ph.D. in mathematics from UCLA in 1987, and joined the Courant Institute as a junior faculty member in 1989. He moved to Caltech in 1993 and was named the Charles Lee Powell Professor in 2004. He was the founding Editor-in-Chief of the SIAM Journal on Multiscale Modeling and Simulation from 2002 to 2007 and served on the IMA Board of Governors from 2010 to 2014. Dr. Hou is a Fellow of American Academy of Arts and Sciences, a SIAM Fellow and an AMS Fellow.

Mon Apr 29

Ordway Lecture Series

1:25pm - Vincent Hall 301
Representations of Real Reductive Groups
Professor Kari Vilonen, University of Melbourne
Fri Apr 26

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Apr 26

Lie Theory Seminar

3:35pm - Vincent Hall 6
Lie Theory Seminar

Fri Apr 26

Combinatorics Seminar

3:35pm - Vincent Hall 570
Generalized Bott-Samelson resolutions for Schubert varieties
Eric Sommers, UMass Amherst
Abstract:

This talk focuses on generalized Bott-Samelson resolutions of Schubert varieties. These resolutions are iterated G/P-bundles (for different parabolic subgroups P of the algebraic group G). Special cases have appeared in the work of Zelevinsky, Wolper, Ryan and several other authors. After introducing these resolutions and some of their properties, we discuss a possible best resolution for a given Schubert variety X(w), based on a combinatorial condition on the inversion set of the Weyl group element w. If time permits, we will discuss a computer program that calculates local intersection cohomology (i.e., Kazhdan-Lusztig polynomials) from these resolutions. This is joint work with Jennifer Koonz.

Fri Apr 26

Ordway Lecture Series

3:35pm - Vincent Hall 6
New examples of Euler systems
Ordway Visitor Christopher Skinner, Princeton University
Abstract:

In this talk we will describe a number of new Euler systems and especially try to explain how the ideas from our 2nd lecture fit in. These new examples include Euler systems for Rankin-Selberg products for modular forms (due to Lei, Loeffler, and Zerbes), for Siegel modular forms of genus 2, and for products of unitary groups, among others.

Fri Apr 26

Probability Seminar

2:30pm - Vincent Hall 213
Majority vote processes on trees
Maury Bramson, UMN
Abstract:

The majority vote process was one of the first interacting particle systems to be investigated and can be described as follows. There are two possible opinions at each site and that opinion switches randomly to the majority opinion of the neighboring sites. Also, at a different rate epsilon, the opinion at each site randomly changes due to noise.

Despite its simple dynamics, the majority vote process is difficult to analyze. In particular, on Z^d with d>1 and epsilon chosen small, it is not known whether there exists more than one equilibrium. This is surprising due to the close analogy between the majority vote process and the Ising model.

Here, we discuss work with Larry Gray on the majority vote process on the infinite tree with vertex degree d, where it is shown that, for small noise, there are uncountably many mutually singular equilibria, and that convergence to equilibrium occurs exponentially quickly from nearby initial states. Our methods rely on graphical constructions; they are quite flexible and can be used to obtain analogous results for other models, such as the stochastic Ising model on a tree.

This is the first part of a two-lecture presentation, and will concentrate on background and on existence of equilibria. Larry Gray will give the second part the following week, which will concentrate on convergence.

Fri Apr 26

Special Events and Seminars

2:30pm - Vincent Hall 311
DRP End of Semester Presentations

Abstract:

Speaker:
Affiliation
Abstract:

Fri Apr 26

Ordway Lecture Series

1:25pm - Vincent Hall 301
Representations of Real Reductive Groups
Professor Kari Vilonen, University of Melbourne
Fri Apr 26

Probability Seminar

9:30am -
CANCELLED

Thu Apr 25

Colloquium

3:35pm - Vincent Hall 16
Recent progress on the Gan-Gross-Prasad and Ichino-Ikeda conjectures for unitary groups
Raphael Beuzart-Plessis, CNRS and Columbia University
Abstract:

A celebrated result of Waldspurger from the eighties express the central value of certain base-change L-functions for $GL_2$ as toric periods of modular forms or generalizations thereof. In the mid 2000s Gan, Gross and Prasad have formulated conjectural generalizations to higher rank classical groups relating the non-vanishing of central values of certain automorphic L-functions to the non-vanishing of certain explicit integrals of automorphic forms that are called 'automorphic periods'. These predictions have been subsequently refined by Ichino-Ikeda and N.Harris into precise identities relating the two invariants. These conjectures also have local counterparts which concern certain branching laws in the representation theory of real or p-adic groups. Most of these conjectures have now been established for unitary groups. This talk aims to give an introduction to this circle of ideas and to review recent results on the subject.

Thu Apr 25

Special Events and Seminars

2:30pm - Vincent Hall570
DRP End of Semester Presentations

Thu Apr 25

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Harmonic surfaces and simple loops
Vlad Markovic - Ordway Visitor, Caltech
Thu Apr 25

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Apr 25

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu Apr 25

1:00pm - Walter B28
Test Seminar

Thu Apr 25

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Apr 25

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu Apr 25

Student Number Theory Seminar

11:00am - Vincent Hall 213
Applying to Jobs in Number Theory
Panel, University of Minnesota
Abstract:

Come hear recent graduates and current grad students discuss their experiences navigating the job market. This panel is hosted by the Student Number Theory seminar, but all graduate students are welcome to attend.

Thu Apr 25

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Apr 24

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Apr 24

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Apr 24

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Heaps and minuscule posets - coontinuation
Victor Reiner, University of Minnesota
Abstract:

We continue reviewing minuscule weights, their weight posets, and minuscule heaps, with the goal of eventually understanding Section 4 of the paper by Garver, Patrias and Thomas

Wed Apr 24

PDE Seminar

3:35pm - Vincent Hall 570
SERRIN LECTURE - Hydrodynamic stability and coherent structure at high Reynolds number
Jacob Bedrossian, Maryland
Abstract:

In this talk I will discuss recent work towards understanding certain stability questions for incompressible Euler or Navier-Stokes at high Reynolds number, the regime in which the viscous effects are weak. We will discuss the mechanisms which stabilize the most basic classes of equilbria: vortices and shear flows in 2D Navier-Stokes/Euler. These stabilization mechanisms, sometimes known as inviscid damping and enhanced dissipation arise from the skew-symmetric transport and the interaction between transport and the weak viscosity. We go on to discuss the roles such dynamics play in 3D, in particular, the manner in which two-dimensional stability can influence coherent structures in 3D. First, we discuss the subcritical transition of 3D shear flows -- the problem of obtaining quantitative estimates on the basin of stability of classical equilibria and the classification of solutions on the borderline of the stability domain. Second, the dynamics of vortex filaments in the 3D Navier-Stokes equations, which begins with understanding the local-in-time well-posedness with certain singular initial data, specifically, vorticity in a scale-invariant Morrey space of measures (in such a class, one does not have, nor does one expect, a general theory of local well-posedness). Connections to kinetic theory problems arising originally in plasma physics regarding nonlinear Landau damping will be addressed if time permits.

Wed Apr 24

Lie Theory Seminar

1:25pm - Vincent Hall 301
A new proof of the Jacquet-Rallis fundamental lemma
Professor Raphael Beuzart-Plessis, CNRS and Columbia University
Abstract:

The Jacquet-Rallis fundamental lemma is a local identity between (relative) orbital integrals which originates from the relative trace formula approach to the Gan-Gross-Prasad conjecture for unitary groups and is a crucial ingredient in the recent results of W. Zhang on this conjecture. It was established soon after its formulation by Z. Yun in positive characteristic using the same geometric ideas as in Ngô's proof of the endoscopic fundamental lemma and transferred to characteristic 0 by J. Gordon by model-theoretic techniques. In this talk, I will present an alternative proof of this fundamental lemma in characteristic zero which is purely local and based on harmonic analytic tools. We note that a third proof of this fundamental lemma has been recently proposed by W. Zhang through a similar although global argument.

Tue Apr 23

Ordway Lecture Series

3:35pm - Vincent Hall 16
Euler systems and local representation theory
Ordway Visitor Christopher Skinner, Princeton University
Abstract:

Many of the known examples of Euler systems come from special cycles on Shimura varieties. So algebraic groups are not far in the background. In this talk we will explain how some of the important properties of these Euler systems can be interpreted in terms of the representation theory of the corresponding groups.

Tue Apr 23

Special Events and Seminars

3:30pm - Vincent Hall 364
Vortex filaments in the 3D Navier-Stokes equations
Jacob Bedrossian, Maryland
Abstract:

We consider solutions of the Navier-Stokes equations in 3d with vortex filament initial data of arbitrary circulation, that is, initial vorticity given by a divergence-free vector-valued measure of arbitrary strength supported on a smooth curve. First, we prove global well-posedness for perturbations of the Oseen vortex column in scaling-critical spaces. Second, we prove local well-posedness (in a sense to be made precise) when the filament is a smooth, closed, non-self-intersecting curve. Besides their physical interest as a model for the coherent vortex filament structures observed in 3d fluids, these results are the first to give well-posedness (in a certain sense) in a neighborhood of large self-similar solutions of 3d Navier-Stokes, as well as solutions which are locally approximately self-similar. Joint work with Pierre Germain and Benjamin Harrop-Griffiths.

Tue Apr 23

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Apr 23

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Self-homeomorphisms of reducible 3-manifolds and applications in topology, geometry and dynamics.
Christoforos Neofytidis, University of Geneva
Abstract:

We recall the self-homeomorphisms of a closed oriented reducible 3-manifold. Using this description, we discuss various problems in low-dimensional topology and dynamics, such as the existence of Anosov tori in 3-manifolds (joint work with Shicheng Wang), the simplicial volume of mapping tori of 3-manifolds (joint work Michelle Bucher) and the virtual Betti numbers of mapping tori of 3-manifolds.

Tue Apr 23

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Apr 23

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon Apr 22

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Apr 22

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Classical properties of Epstein zeta functions
Adrienne Sands, University of Minnesota
Abstract:

Adrienne Sands of U of MN will continue on "Classical properties of Epstein zeta functions

Mon Apr 22

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Apr 22

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Apr 22

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 22

IMA Data Science Lab Seminar

1:25pm - Lind 305
How Hard is it to Fool a Neural Net? A Mathematical Look at Adversarial Examples
Tom Goldstein, University of Maryland
Abstract:

Neural networks solve complex computer vision problems with human-like accuracy. However, it has recently been observed that neural nets are easily fooled and manipulated by "adversarial examples," in which an attacker manipulates the network by making tiny changes to its inputs. In this talk, I give a high-level overview of adversarial examples, and then discuss a newer type of attack called "data poisoning," in which a network is manipulated at train time rather than test time. Then, I explore adversarial examples from a theoretical viewpoint and try to answer a fundamental question: "Are adversarial examples inevitable?"

Tom is an Assistant Professor at University of Maryland. His research lies at the intersection of optimization and distributed computing, and targets applications in machine learning and image processing. He designs optimization methods for a wide range of platforms. This includes powerful cluster/cloud computing environments for machine learning and computer vision, in addition to resource limited integrated circuits and FPGAs for real-time signal processing. Before joining the faculty at Maryland, he completed his PhD in Mathematics at UCLA, and was a research scientist at Rice University and Stanford University. He has been the recipient of several awards, including SIAM’s DiPrima Prize, a DARPA Young Faculty Award, and a Sloan Fellowship.

Fri Apr 19

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Apr 19

MCFAM Seminar

5:30pm - Vincent Hall 16
2019 MFM Modeling Workshop Presentations- Yield Curve Construction and Valuation and Replication Strategies for Variance Derivatives
2019 FM Modeling Workshop Student Presenters, University of Minnesota
Abstract:

Two Teams of MFM students from the 2019 MFM Modeling Workshp will present their work to the Seminar. Each group will take a half hour to cover their topics, including Q & A

Yield Curve Construction: Calculating the present value of future cash flows is a crucial task for any trading desk. We will explore yield curve bootstrapping and interpolation techniques used to value financial instruments in a consistent framework. The pros and cons of each method will become apparent, and we will converge on an optimal technique that is consistent with major trading desks. Finally, we will see how the financial crisis changed yield curve construction, and fundamentally altered the way we think of the valuing future cash flows.

Valuation and Replication Strategies for Variance Derivatives:Variance derivatives have played a major role in the financial markets since the 1990s, as they provide pure exposure to volatility without other added effects. A primary instrument is variance swaps. In this project the participants will explore traditional theory of valuing variance swaps, and their continuous and discrete replication with vanilla derivatives. The connections among variance, volatility swaps, and VIX derivatives will be drawn, alongside examining non-parametric variance swap replication approaches.

Fri Apr 19

Combinatorics Seminar

3:35pm - Vincent Hall 570
K polynomials and matroids
Andrew Berget, Western Washington University
Abstract:

This talk is my about 2009 UMn PhD thesis problem which I have finally solved, only 10 years after the fact. The set-up was to take n vectors, tensor them together in n! ways, and consider their span as a representation of the symmetric group Sn. The problem was to see if the character of this representation could be determined knowing only the matroid of the n starting vectors. In this talk I present an affirmative solution to this problem, including an explicit generating function that computes the character from the matroid. The long overdue solution took a lengthy detour through representation theory, algebraic geometry and, fusing the two, equivariant K-theory. I will keep the technical aspects to a minimum, and focus on explaining how this problem in combinatorics led to a tractable geometric problem.

Fri Apr 19

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Apr 19

Probability Seminar

2:30pm - Vincent Hall 213
Optimal Spectral Shrinkage and PCA with Heteroscedastic Noise
Will Leeb, UMN
Abstract:

I will present recent results on the related problems of denoising, covariance estimation, and principal component analysis for the spiked covariance model with heteroscedastic noise. Specifically, I will present an estimator of the principal components based on whitening the noise, and optimal spectral shrinkers for use with these estimated principal components. I will also show new results on the optimality of whitening for principal subspace estimation. This is joint work with Elad Romanov of the Hebrew University.

Fri Apr 19

Probability Seminar

9:30am -
CANCELLED

Thu Apr 18

Colloquium

3:35pm - Vincent Hall 16
Teichmueller flow and complex geometry of Moduli Spaces
Vlad Markovic - Ordway Visitor, Caltech
Abstract:

I will explain why in general the Caratheodory and Teichmueller metrics do not agree on Teichmueller spaces and why this yields a proof of the convexity conjecture of Siu. Moreover, I will illustrate how deep theorems in Teichmueller dynamics play an important role in classifying Teichmueller discs where the two metrics agree.

Thu Apr 18

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Apr 18

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry

Thu Apr 18

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu Apr 18

Ordway Lecture Series

1:25pm - Vincent Hall 113
An introduction to Euler systems
Ordway Visitor Christopher Skinner, Princeton University
Abstract:

The breakthrough work of Kolyvagin on the Birch and Swinnerton-Dyer conjecture introduced the `method of Euler systems.' Euler systems -- when known to exist -- remain one of the most effective tools for studying class groups and Selmer groups and their relations to special values of L-functions. This is an area that has had a recent resurgence of activity, which we hope to describe in these talks. This talk will be an introduction to Euler systems and their main features.

Thu Apr 18

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Apr 18

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu Apr 18

Student Number Theory Seminar

11:00am - Vincent Hall 213
More Yang-Baxter Equations for Metaplectic Ice
Claire Frechette, University of Minnesota
Abstract:

In preparation for my oral exam, I will extend the existing connections between quantum groups and the study of spherical Whittaker models on metaplectic covering groups of GL(r,F), for F a nonarchimedean local field. Brubaker, Buciumas, and Bump showed that for a certain metaplectic n-fold cover of GL(r,F) a set of Yang-Baxter equations govern the behavior of the Whittaker functions and that these equations arise from a Drinfeld twist of a quantum affine Lie superalgebra. I will extend their results to all metaplectic covers of GL(r,F), showing that the same Yang-Baxter equations underlie the scattering matrix for the Whittaker functions over an nQ-fold metaplectic cover, where nQ is an integer determined by the cover, and that these equations arise from Drinfeld twists of quantum groups. (I will also define what most of these words mean.)

Thu Apr 18

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Apr 17

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Apr 17

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Apr 17

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Heaps and minuscule posets
Victor Reiner, University of Minnesota
Abstract:

We review minuscule weights, their weight posets, and minuscule heaps, with the goal of eventually understanding Section 4 of the paper by Garver, Patrias and Thomas.

Wed Apr 17

PDE Seminar

3:35pm - VinH 213
PDE Seminar

Wed Apr 17

PDE Seminar

3:35pm - Vincent Hall 570
On some recent results of Collisional Plasma in bounded domains
Chanwoo Kim, University of Wisconsin
Abstract:

In this talk we discuss Vlasov-Poisson-Boltzmann system in bounded domains. Some recent results on regularity and large time behavior of solutions will be presented.

Tue Apr 16

Colloquium

3:35pm - Vincent Hall 16
What's known about the Birch and Swinnerton-Dyer Conjecture
Ordway Visitor Christopher Skinner, Princeton University
Abstract:

The celebrated Birch and Swinnerton-Dyer (BSD) Conjecture connects the structure of the rational points on an elliptic curve defined over the rationals to the analytic properties of its associated Hasse-Weil L-function. This talk will recall the BSD conjecture (and its various parts) and related conjectures and survey some of the known results toward them, especially recent work.

This talk is intended for a general mathematical audience: no prior acquaintance with elliptic curves or even non-elementary number theory will be assumed.

Tue Apr 16

Dynamical Systems

2:30pm - Vincent Hall 313
The Origins of the Reaction Zone in Microtornado Experiments
Patrick Shipman, Colorado State University
Abstract:

In experimental systems involving diffusing and convecting vapors that react to form solid particulates, a complex sequence of nucleation and growth reactions produces pulsing charged crystals, oscillating fronts, and patterns such as beautiful 3-dimensional structures that we call “microtornadoes”, “microstalagtites”, and “microhurricanes”. We will review the rich history of these experiments, starting with a counterdiffusional experiment that figures in the pioneering work on diffusion of Dalton, Graham, Fick, and Stefan. Mathematical analysis will progress from a reaction-diffusion model for the origins of the initial reaction zone, to an analysis of oscillations and particle size distributions, to a fluid dynamical model. The insights carry over to similar structures in protein crystallization experiments and the formation of periodic structures in plants.

Tue Apr 16

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Apr 16

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon Apr 15

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Apr 15

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
The theorem of Dixmier-Malliavin and a question of Casselman
Dev Hegde, U of MN
Mon Apr 15

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Apr 15

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Apr 15

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 15

IMA Data Science Lab Seminar

1:25pm - Lind 305
Recent Advances in Wasserstein Distributionally Robust Optimization
Rui Gao, The University of Texas at Austin
Abstract:

In this talk, we consider decision-making problems under data uncertainty. In particular, we study a framework, called Wasserstein distributionally robust optimization, that aims to find a decision that hedges against a set of distributions that are close to some nominal distribution in Wasserstein metric. This framework, although being an infinite dimensional optimization, has a finite-dimensional tractable reduction in various data-driven settings by virtue of duality, and is closely related to many regularization problems in statistical learning. I will discuss the generalization error bound and asymptotic properties of such framework, and compare it with other distributional uncertainty sets including divergence-based and moment-based sets. If time permits, I will talk about an application of the framework to robust classification with limited information.

Rui Gao is an Assistant Professor of Information, Risk, and Operations Management at the McCombs School of Business at the University of Texas at Austin. He received his Ph.D. in Operations Research from Georgia Institute of Technology in 2018. His current research interests lie in the intersection of decision-making under uncertainty and statistical learning, as well as their applications in data analytics. His work has been recognized with several INFORMS prize, including finalist in Nicholson student paper competition in 2016, runner-up in the Computing Society student paper prize in 2017, and winner of the Data Mining best paper award in 2017.

Fri Apr 12

MCFAM Seminar

5:30pm - Murphy Hall 130
Model Development & Delivery in Real World Quant Finance
Florian Huchede, Director & FX Lead Quant - CME Group
Abstract:

Over the last 10 years, financial companies have been increasingly using quantitative models for decision making. Well performing models can provide automatic and objective decision making as well as a certain ability to synthesize complex issues. However, models expose companies to model risk, higher development cost and longer delivery time. In this MCFAM seminar, we will cover how to reduce the model risk and time to market by using a model design process. Furthermore, we will apply the process on a particular example: OTC FX option volatility calibration.

Bio: Florian Huchedé is a Director of Quantitative Risk Management at CME Group. He leads an international team of quantitative analysts that work on designing, implementing and filing quantitative algorithms on various applications (settlement, pricing, data cleansing, risk management, product creation and large optimization). Furthermore, he is the lead quant for the FX and Equity asset classes.

Florian graduated from the Financial Mathematics program at University of Chicago (2010). He completed his undergraduate studies and MS in Engineering at Ecole Francaise d’Electronique et d’Informatique in Paris, France (2007). Prior to joining CME Group, he worked at Credit Agricole Asset Management Alternative Investment and at The Option Clearing Corporation.

With more than 10 years of experience, Florian is focused on innovation, creativity and giving back to the quant community. He holds three U.S. patents on risk management and financial products. Furthermore, he initiated a joint research program between University of Chicago and CME Group in 2012. Since then, the program has expanded and is being utilized by many other companies.

Fri Apr 12

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Apr 12

Lie Theory Seminar

3:35pm - Vincent Hall 313
Lie Theory Seminar

Fri Apr 12

Combinatorics Seminar

3:35pm - Vincent Hall 570
Some congruences for sums of binomial coefficients
Moa Apagodu, Virginia Commonwealth University
Abstract:

In a recent beautiful but technical article, William Y.C. Chen, Qing-Hu Hou, and Doron Zeilberger developed an algorithm for finding and proving congruence identities (modulo primes) of indefinite sums of many combinatorial sequences, namely those (like the Catalan and Motzkin sequences) that are expressible in terms of constant terms of powers of Laurent polynomials. We first give a leisurely exposition and then extend it in two directions. The Laurent polynomials may be of several variables, and instead of single sums we have multiple sums.

Fri Apr 12

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Apr 12

1:25pm - Lind 305
Stating the Obvious - Job Search to Analytics Leadership
Sandhya Surapanenii, Stratasys
Abstract:

From "is networking really important" to "do hiring managers read cover letters", from "why should data exploration begin with a question" to "how to build a culture of data driven decision making", we have heard it all many, many times. But these are questions that warrant a reminder. And another. And another.

I hope to be that person and remind you of a few key strategies to employ in job search and best practices to avoid pitfalls in the business world. I will share failures and lessons from my experience in data management and analytics, as well as decode marketing function.

Sandhya Surapaneni (aka Sandy) works as a Global Marketing Analytics Leader at Stratasys, a pioneer in 3D printing technology. Her current focus is on building a foundation in analytics to integrate data-driven insights into every day business decisions that align with the company's long term strategy. Prior to joining Stratasys, Sandy worked as a Database Lead at BI Worldwide, building and supporting the data layer of several web applications. Sandy has a M.S in Computer Science from the University of Texas at Arlington and a M.S in Business Analytics from Carlson School of Management. Born and raised in India, she has been a Minneapolis resident for 13 years and enjoys its lakes and coffee shops.

Fri Apr 12

Probability Seminar

9:30am -
CANCELLED

Thu Apr 11

Special Events and Seminars

2:30pm - Vincent Hall 570
Informal Fluids Seminar with the speaker Samuel Punshon-Smith
Samuel Punshon-Smith
Thu Apr 11

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Apr 11

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Semi-Ample Asymptotic Syzygies
Juliette Bruce
Abstract:

I will discuss the asymptotic non-vanishing of syzygies for products of projective spaces, generalizing the monomial methods of Ein-Erman-Lazarsfeld. This provides the first example of how the asymptotic syzygies of a smooth projective variety whose embedding line bundle grows in a semi-ample fashion behave in nuanced and previously unseen ways.

Thu Apr 11

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Apr 11

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu Apr 11

Student Number Theory Seminar

11:00am - Vincent Hall 213
Student Number Theory Seminar

Thu Apr 11

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Apr 10

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Apr 10

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Apr 10

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Reflection functors and nilpotent endomorphisms - continuation
Dongkwan Kim, University of Minnesota
Abstract:

We describe how the Jordan form data of quiver representations interact with reflection functors, continuing with the paper of Garver, Patrias and Thomas: Minuscule reverse plane partitions via quiver representations.

Wed Apr 10

PDE Seminar

3:30pm - Vincent Hall 570
Lagrangian chaos and scalar mixing in stochastic fluid mechanics
Samuel Punshon-Smith, Brown University
Abstract:

Lagrangian chaos refers to the chaotic behavior of
Lagrangian trajectories in a fluid. This chaotic behavior often
characterized by the dynamics having a positive Lyapunov exponent,
namely the property that initially close trajectories will separate at
an exponential rate after long time. In this talk we will consider a
variety of stochastically forced fluid models, including the 2
dimensional stochastic Navier-Stokes equations, and show that under
certain non-degeneracy conditions on the noise, the Lagrangian flow
possesses a positive Lyapunov exponent. The proof crucially uses the
theory of random dynamical systems as well as tools from Malliavin
calculus and control theory to satisfy a certain non-degeneracy
criterion originally due to Furstenberg. We will explore several
important consequences of a positive exponent for passive scalars
advected by the fluid. Most importantly, we show that these velocity
fields are almost sure exponential mixers. Specifically, using the
positive Lyapunov exponent, we obtain almost sure exponential decay in
time of passive scalars in any negative Sobolev norm through a
detailed study of ergodicity of the two point Lagrangian motion. This
work is joint with Jacob Bedrossian and Alex Blumenthal.

Wed Apr 10

Special Events and Seminars

2:30pm - Vincent Hall 213
Arithmetic level raising for unitary groups and Beilinson-Bloch-Kato conjecture (II)
Yifeng Liu, Yale University
Abstract:

In this series of two talks, we will introduce the recent progress on Beilinson-Bloch-Kato conjecture for Rankin-Selberg motives of arbitrary rank. We will discuss an important technique used in the proof, namely, the arithmetic level raising for unitary groups of even rank. We will also mention other interesting results we obtained during the course of proof. This is based on a joint work with Y. Tian, L. Xiao, W. Zhang, and X. Zhu

Tue Apr 09

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Apr 09

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Apr 09

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Tue Apr 09

Special Events and Seminars

11:00am - Vincent Hall 213
Arithmetic level raising for unitary groups and Beilinson-Bloch-Kato conjecture (I)
Yifeng Liu, Yale University
Abstract:

In this series of two talks, we will introduce the recent progress on Beilinson-Bloch-Kato conjecture for Rankin-Selberg motives of arbitrary rank. We will discuss an important technique used in the proof, namely, the arithmetic level raising for unitary groups of even rank. We will also mention other interesting results we obtained during the course of proof. This is based on a joint work with Y. Tian, L. Xiao, W. Zhang, and X. Zhu.

Mon Apr 08

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Apr 08

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Classical properties of Epstein zeta functions
Adrienne Sands, University of Minnesota
Mon Apr 08

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Apr 08

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Apr 08

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 08

IMA Data Science Lab Seminar

1:25pm - Lind 305
A Brief Overview of Quantum Computing
Vlad Pribiag, University of Minnesota, Twin Cities
Abstract:

Quantum computing has been receiving rapidly-growing interest from both industry and government funding agencies in the last several years. In this talk, I will provide an introduction to the key concepts of quantum mechanics as related to quantum computing, and will then outline several areas were quantum computers could make substantial contributions not accessible to classical computers. I will also provide an overview of leading approaches for developing the building blocks of future quantum computers, including work from our lab.

Fri Apr 05

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Apr 05

Combinatorics Seminar

3:35pm - Vincent Hall 570
Topological combinatorics of crystal posets
Molly Lynch, North Carolina State University
Abstract:

Crystal bases were first introduced by Kashiwara when studying modules of quantum groups. Each crystal base has an associated directed, edge colored graph called a crystal graph. In many cases, these crystal graphs give rise to a natural partial order. In this talk, we study crystal posets associated to highest weight representations. We use lexicographic discrete Morse functions to connect the Möbius function of an interval in a crystal poset with the relations that exist among crystal operators within that interval. We will discuss some further directions for this work.

Fri Apr 05

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Apr 05

Probability Seminar

2:30pm - Vincent Hall 213
Frog model on trees with drift
Si Tang, Lehigh University
Abstract:

We provide a uniform upper bound on the minimal drift so that the one-per-site frog model on a d-ary tree is recurrent. To do this, we introduce a subprocess that couples across trees with different degrees. Finding couplings for frog models on nested sequences of graphs is known to be difficult. The upper bound comes from combining the coupling with a new, simpler proof that the frog model on a binary tree is recurrent when the drift is sufficiently strong. This is a joint work with E. Beckman, N. Frank, Y. Jiang, and M. Junge.

Fri Apr 05

Probability Seminar

9:30am -
CANCELLED

Thu Apr 04

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Apr 04

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Apr 04

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
An Analogue of the Hartshorne-Polini Theorem in Positive Characteristic
Zhang Wenliang, University of Illinois at Chicago
Abstract:

Recently, Hartshorne and Polini proved a theorem to characterize the
dimension of certain de Rham cohomology groups of a holonomic D-module
over complex numbers as the number of specific D-linear maps associated
with the holonomic D-module. In this talk, I will explain an analogue of
this result in positive characteristic for F-finite F-modules. This is a
joint work with Nicholas Switala.

Thu Apr 04

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Apr 04

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu Apr 04

Student Number Theory Seminar

11:00am - Vincent Hall 213
On congruence properties of Ramanujan tau function
Dev Hegde, University of Minnesota
Abstract:

Serre and Swinnerton-Dyer reproved many congruence relations around 1970 for the Ramanujan tau function by reinterpreting the relations in terms of l-adic representations. We will give an introduction to this topic.

Thu Apr 04

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Apr 03

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Apr 03

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Apr 03

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Reflection functors and nilpotent endomorphisms
Dongkwan Kim, University of Minnesota
Abstract:

We describe how the Jordan form data of quiver representations interact with reflection functors, continuing with the paper of Garver, Patrias and Thomas: Minuscule reverse plane partitions via quiver representations.

Wed Apr 03

PDE Seminar

3:30pm - Vincent Hall 570
Convexity of Whitham's highest cusped wavear
Bruno Vergara, Madrid
Abstract:

Whitham's model of shallow water waves is a non-local dispersive equation that features traveling wave solutions and also singularities. I will discuss a conjecture of Ehrnström and Wahlén on the profile of solutions of extreme form and show that there exists a highest, cusped and periodic solution convex between consecutive crests of $C^{1/2}$-regularity. The talk is based on joint work with A. Enciso and J. Gómez-Serrano.

Tue Apr 02

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Apr 02

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Apr 02

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon Apr 01

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Apr 01

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Classical facts about Epstein zeta functions
Adrienne Sands, University of Minnesota
Mon Apr 01

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Apr 01

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Quadratic Wasserstein Metrics for Nonlinear Inverse Problems
Kui Ren, Columbia University
Abstract:

In the absence of analytical reconstruction methods, numerical solutions of nonlinear inverse problems have been mostly based on least-square formulations where solutions are sought by minimizing the $L^2$ difference between model predictions and measured data. We present here recent computational studies of some nonlinear inverse problems where quadratic Wasserstein distances are used to measure the discrepancy between model predictions and measured data. Related numerical and theoretical issues will be discussed.

Mon Apr 01

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Apr 01

IMA Data Science Lab Seminar

1:25pm - Lind 305
How to Deal with Big Data? Understanding Large-scale Distributed Regression
Edgar Dobriban, Wharton School of the University of Pennsylvania
Abstract:

Modern massive datasets pose an enormous computational burden to practitioners. Distributed computation has emerged as a universal approach to ease the burden: Datasets are partitioned over machines, which compute locally, and communicate short messages. Distributed data also arises due to privacy reasons, such as with medical databases. It is important to study how to do statistical inference and machine learning in a distributed setting. In this talk, we present results about one-step parameter averaging in statistical linear models under data parallelism. We do linear regression on each machine, and take a weighted average of the parameters. How much do we lose compared to doing linear regression on the full data? Here we study the performance loss in estimation error, test error, and confidence interval length in high dimensions, where the number of parameters is comparable to the training data size. We discover several key phenomena. First, averaging is not optimal, and we find the exact performance loss. Second, different problems are affected differently by the distributed framework. Estimation error and confidence interval length increases a lot, while prediction error increases much less. These results match numerical simulations and a data analysis example. To derive these results, we rely on recent results from random matrix theory, where we also develop a new calculus of deterministic equivalents as a tool of broader interest.

Edgar Dobriban is an assistant professor of statistics at the Wharton School of the University of Pennsylvania. He obtained his PhD in Statistics in 2017 from Stanford University, advised by David Donoho, and his undergraduate degree in mathematics from Princeton University in 2012. His research interests are in developing statistical methods and theory for large-scale data analysis.

Fri Mar 29

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Mar 29

MCFAM Seminar

5:30pm - Vincent Hall 16
MFM Modeling Workshop Presentations - Machine Learning in Equity Classification and Smart Beta Investing in Commodities
2019 FM Modeling Workshop Student Presentations, University of Minnesota
Abstract:

Two Teams of MFM students from the 2019 MFM Modeling Workshop will present their work to the Seminar. Each group will take a half hour to cover their topics, including Q & A

Machine Learning in Equity Classification: This MFM modeling workshop team worked with various machine learning classification models with the goal of classifying equities via well-known quantitative factors such as Value and Momentum. The classification was supervised, utilizing a novel ETF dataset which was supplemented extensively. The team worked in Python, especially the Scikit Learn module. They will present their project to seminar attendees

Smart Beta Investing in Commodities: Ever since the first stocks and bonds were issued by the Dutch East India Company (VOC), investors have tried to understand what drives returns. Smart Beta strategies have gained popularity lately by offering the potential for better-than-market returns with better-defined risks, especially after the recognition in 2008 that multi-asset classes can experience severe losses at the same time despite their apparent intrinsic differences. Smart beta strategies can take many different forms, with a variety of objectives. They can simply aim at reducing risks (the “risk-based approach”) or enhancing return through exposure to systematic factors (the “factor-based” approach). In commodities investing, alternative index movement was born from frustration with the inherent biases of conventional indices. For example, negative commodity “roll yields” can erode returns by as much as 50%. This team explored the opportunities of constructing a commodity investment portfolio that uses different smart beta approaches to seek enhancing returns and risk reduction. Factors like curve, value, and momentum were examined in the back-test.

Fri Mar 29

Combinatorics Seminar

3:35pm - Vincent Hall 570
A combinatorial duality and the Sperner property for the weak order
Christian Gaetz, MIT
Abstract:

A poset is Sperner if its largest antichain is no larger than its largest rank. In the 1980's, Stanley used the Hard-Lefschetz Theorem to prove the Sperner property for strong Bruhat orders on Weyl groups. I will describe joint work with Yibo Gao in which we prove Stanley's conjecture that the weak Bruhat order on the symmetric group is also Sperner, by exhibiting a combinatorially-defined representation of sl2 respecting the structure of the weak and strong orders. I will explain how this representation gives rise to a combinatorial duality between the weak and strong Bruhat orders and leads to a strong order analogue of Macdonald's reduced word identity for Schubert polynomials.

Fri Mar 29

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Mar 29

Probability Seminar

2:30pm - Vincent Hall 213
Moments of scores
Sergey Bobkov, UMN
Abstract:

If a random variable X has an absolutely continuous
density f, its score is defined to be the random variable
\rho(X) = f'(X)/f(X), where f' is the derivative of f. We will discuss
upper bounds on the moments of the scores, especially in the
case when X represents the sum of independent random variables.

Fri Mar 29

1:25pm - Lind 305
So, How Do You Get a Job?
Chang Lee, Lowe's
Abstract:

I was late. I only decided to find a job in industry in the 4th year of my graduate study even though I never had a job outside of academia. The one question that I kept asking was: how do you get a job?

It was scary because I did't know what to do. But I ended up getting a job. And today, I think I'm doing fine.

If you are about to start on the path to industry but you feel that you are full of questions and doubts, then this talk may be for you. In this talk, I will show you two things:

1. my experience of going into industry, and
2. how to thrive in it.

You will walk away with guidelines and tips that I learned from my mistakes and observations. It will help you save time and avoid frustrations in the process.

Chang currently works as a data scientist at Lowe's. He entered into the data science field as an intern for a baseball team, the Tampa Bay Rays. He got his Ph.D in Mathematics from Vanderbilt University in 2017 under Alex Powell. Besides math and data, Chang has become a soul food advocate and survives on barbecue and hot chicken. You can learn more about his experience outside of academia at his blog: https://changhsinlee.com and his YouTube channel: https://youtube.com/c/softwareforscience

Fri Mar 29

Probability Seminar

9:30am -
CANCELLED

Thu Mar 28

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Mar 28

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Mar 28

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Bernstein-Sato polynomials in positive characteristic and Hodge theory
Thomas Bitoun, University of Toronto
Abstract:

Bernstein-Sato polynomials are fundamental in D-module theory. For
example, they are the main finiteness ingredient in the construction of
nearby cycles. We will present a positive characteristic analogue of the
Bernstein-Sato polynomials. After diving in the world of characteristic
p D-modules, we shall consider how our construction varies with the
prime p. This turns out to be related to questions of Hodge theory and
Poisson homology.

Thu Mar 28

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Mar 28

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Thu Mar 28

Student Number Theory Seminar

11:00am - Vincent Hall 213
On congruence properties of Ramanujan tau function
Dev Hegde, University of Minnesota
Abstract:

Serre and Swinnerton-Dyer reproved many congruence relations around 1970 for the Ramanujan tau function by reinterpreting the relations in terms of l-adic representations. We will give an introduction to this topic.

Thu Mar 28

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Mar 27

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Mar 27

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Mar 27

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Reflection functors
Dongkwan Kim, University of Minnesota
Abstract:

We define the notion of reflection functors between the categories of quiver representations and discuss some of their basic properties. After this, we explain how these functors are related to (generic) Jordan types and corresponding representations of quivers.

Wed Mar 27

PDE Seminar

3:30pm - Vincent Hall 570
PDE Seminar
Luis Vega, Serrin Lecture
Tue Mar 26

Dynamical Systems

2:30pm - Vincent Hall 313
Ice issues in conceptual climate models
Alice Nadeau, University of Minnesota
Abstract:

Conceptual climate models are a necessary tool for scientists trying to understand Earth and other rocky planets because they can provide insight on predominant forces affecting a planet's climate. This talk will focus on Budyko-Sellers type energy balance models, a particular class of conceptual models used to study ice-albedo feedback in the climate system. In this talk I will discuss the different ways one can represent ice in these models, including some of my recent results in extending these models to other planets.

Tue Mar 26

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Mar 26

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar
TBA
Mon Mar 25

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Mar 25

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Mon Mar 25

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Low rankness in forward and inverse kinetic theory
Qin Li, University of Wisconsin
Abstract:

Multi-scale kinetic equations can be compressed: in certain regimes, the Boltzmann equation is asymptotically equivalent to the Euler equations, and the radiative transfer equation is asymptotically equivalent to the diffusion equation. A lot of detailed information is lost when a system passes to the limit. In linear algebra, it is equivalent to a system being of low rank. I will discuss such transition and how it affects the computation: mainly, in the forward regime, inserting low-rankness could greatly advances the computation, while in the inverse regime, the system being of low rank typically makes the problems significantly harder.

Mon Mar 25

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Mar 25

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 25

IMA Data Science Lab Seminar

1:25pm - Lind 305
Lecture
Mark Hsiao, Netflix, Inc
Fri Mar 22

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Mar 22

Combinatorics Seminar

3:35pm - Vincent Hall 570
Combinatorics Seminar

Fri Mar 22

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Mar 22

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 22

Probability Seminar

9:30am -
CANCELLED

Thu Mar 21

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Mar 21

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Mar 21

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu Mar 21

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Mar 21

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Thu Mar 21

Student Number Theory Seminar

11:00am - Vincent Hall 213
Student Number Theory Seminar

Thu Mar 21

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Mar 20

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Mar 20

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Mar 20

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Algebraic Representation Theory

Tue Mar 19

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Mar 19

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Mar 19

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Mon Mar 18

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Mar 18

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Mon Mar 18

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Mar 18

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Mar 18

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Fri Mar 15

First Year Seminar

5:30pm - Vincent 364
First Year Seminar
TBA
Fri Mar 15

Combinatorics Seminar

3:35pm - Vincent Hall 570
Cell Decompositions for Rank Two Quiver Grassmannians
Dylan Rupel, Michigan State University
Abstract:

A quiver Grassmannian is a variety parametrizing subrepresentations of a given quiver representation. Reineke has shown that all projective varieties can be realized as quiver Grassmannians. In this talk, I will study a class of smooth projective varieties arising as quiver Grassmannians for (truncated) preprojective representations of an n-Kronecker quiver, i.e. a quiver with two vertices and n parallel arrows between them. The main result I will present is a recursive construction of cell decompositions for these quiver Grassmannians motivated by the theory of rank two cluster algebras. If there is time I will discuss a combinatorial labeling of the cells by which their dimensions may conjecturally be directly computed. This is a report on joint work with Thorsten Weist.

Fri Mar 15

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Mar 15

Probability Seminar

2:30pm - Vincent Hall 213
The generalized TAP free energy
Wei-Kuo Chen, UMN
Abstract:

Spin glasses are disordered spin systems initially invented by theoretical physicists with the aim of understanding some strange magnetic properties of certain alloys. In particular, over the past decades, the study of the Sherrington-Kirkpatrick (SK) mean-field model via the replica method has received great attention. In this talk, I will discuss another approach to studying the SK model proposed by Thouless-Anderson-Palmer (TAP). I will explain how the generalized TAP correction appears naturally and give the corresponding generalized TAP representation for the free energy. Based on a joint work with D. Panchenko and E. Subag.

Fri Mar 15

Special Events and Seminars

2:30pm - Vincent Hall 1
Mathematical Physics, Algebraic Geometry, and Commutative Algebra
Nadia Ott
Fri Mar 15

1:25pm - Lind 305
Lecture
Karyn Sutton, The Institute for Disease Modeling
Fri Mar 15

Probability Seminar

9:30am -
CANCELLED

Thu Mar 14

Colloquium

3:35pm - Vincent Hall 16
Short-Time Asymptotic Methods In Financial Mathematics
Jose Figueroa-Lopez, Washington University
Abstract:

In this talk, we will be concerned with the average values of certain random functionals of the path of a stochastic process during a given time period. High-order asymptotic characterizations of such values when the time period shrinks to 0 have a wide range of applications. In statistics, they are instrumental in establishing infill asymptotic properties of high-frequency based statistical methods of stochastic processes. In finance, they have been used as model selection and calibration tools based on near expiration option prices. In some Engineering problems, they also show up as a method to solve a problem in continuous time by looking at the analogous problem in discrete time and shrinking the time step to 0. These short-time asymptotic methods are especially useful in the study of complex models with jumps and stochastic volatility due to the lack of tractable formulas and efficient statistical and numerical procedures. In this talk, I will discuss some recent advances in the area and illustrate their broad relevance in several contexts.

Bio: Dr. Figueroa-López is a Professor in the Department of Mathematics and Statistics at Washington University in St. Louis. He currently serves as part of the executive committee and the chair of the statistics committee of the Department. Formerly he was Associate Professor of Statistics at Purdue University, where he served as Associate Director of the Computational Finance Program and as a member of the University Senate. Professor Figueroa’s ongoing research includes short-time asymptotics of jump-diffusion models, diffusion limits of Limit Order Book models, optimal limit order placement problems, market making via reinforced learning, and optimal tuning of high-frequency based econometric methods. He was awarded the NSF career award in 2012 and currently has two active NSF grants on the interplay of finance, statistics, and probability. He is an Associate Editor of the SIAM Journal on Financial Mathematics (SIFIN) and a former Associate Editor of Electronic Journal of Statistics.

Thu Mar 14

Special Events and Seminars

1:25pm - Vincent Hall 113
Nearby cycles over general bases and duality
Weizhe Zheng, Chinese Academy of Sciences and Princeton University
Abstract:

Over one-dimensional bases, Gabber and Beilinson proved theorems on the commutation of the nearby cycle functor and the vanishing cycle functor with duality. In this talk, I will explain a way to unify the two theorems, confirming a prediction of Deligne. I will also discuss the case of higher-dimensional bases and applications to local acyclicity, following suggestions of Illusie and Gabber. This is joint work with Qing Lu.

Thu Mar 14

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Mar 14

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Towards Free Resolutions Over Scrolls
Aleksandra Sobieska-Snyder, Texas A&M
Abstract:

Free resolutions over the polynomial ring have a storied and active
record of study. However, resolutions over other rings are much more
mysterious; even simple examples can be infinite! In these cases, we
look to any combinatorics of the ring to glean information. This talk
will present a minimal free resolution of the ground field over the
semigroup ring arising from rational normal 2-scrolls, and (if time
permits) a computation of the Betti numbers of the ground field for all
rational normal k-scrolls.

Thu Mar 14

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Mar 14

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Thu Mar 14

Student Number Theory Seminar

11:00am - Vincent Hall 213
Knots and Primes Part II: The Linking Number and Legendre Symbol
Katy Weber, University of Minnesota
Abstract:

We review the analogy between knots in 3-manifolds and prime ideals in number rings, and push it further to realize the Legendre symbol as the analogue of the (mod 2) linking number. This talk should be accessible even if you did knot attend seminar last week.

Thu Mar 14

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Mar 13

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Mar 13

AMS Intro to Research Seminar

5:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Mar 13

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Postponed
Dongkwan Kim, University of Minnesota
Abstract:

This talk is postponed to March 27.

Tue Mar 12

Dynamical Systems

2:30pm - Vincent Hall 313
Dynamical Systems Seminar

Tue Mar 12

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Mar 12

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Tue Mar 12

Special Events and Seminars

11:00am - Vincent 213
Compatible systems along the boundary
Weizhe Zheng, Chinese Academy of Sciences and Princeton University
Abstract:

A theorem of Deligne says that compatible systems of l-adic sheaves on a smooth curve over a finite field are compatible along the boundary. I will present an extension of Deligne's theorem to schemes of finite type over the ring of integers of a local field. This has applications to the equicharacteristic case of some conjectures on l-independence. I will also discuss the relationship with compatible wild ramification. This is joint work with Qing Lu.

Mon Mar 11

Representations of p-adic groups

7:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Mar 11

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Mon Mar 11

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Mar 11

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium
Canceled
Mon Mar 11

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 11

IMA Data Science Lab Seminar

1:25pm - Lind 305
Robust and Phaseless PCA (and Subspace Tracking)
Namrata Vaswani, Iowa State University
Abstract:

Principal Components Analysis (PCA), a.k.a. subspace learning, is one of the most widely used dimension reduction techniques that attempts to find a low-dimensional subspace approximation of a given dataset. PCA is a solved problem when the observed data is relatively clean and lies in (or close to) a low-dimensional subspace. However, in many modern applications, the data are often either incomplete (missing data) or corrupted by outliers. Robust PCA refers to this harder problem of PCA in the presence of entry-wise outliers (sparse corruptions). An important example application is video analytics when slow-changing videos are corrupted by foreground occlusions, e.g., by moving vehicles or persons. For long data sequences, e.g., long surveillance videos, if one tries to use a single subspace to represent the entire sequence, the required subspace dimension may be too large. For such data, a better model is to assume that the data subspace can change with time, albeit gradually. This problem of tracking data lying in a slowly changing subspace, while being robust to additive sparse outliers is referred to as Robust Subspace Tracking (RST). While robust PCA has received a lot of attention in the last decade, its dynamic version, RST, was largely open until recently. In a recent body of work, we have introduced the first provably correct and practically usable online solution framework for RST that we call Recursive Projected Compressive Sensing (ReProCS). Our most recent work from ICML 2018 shows that a simple ReProCS-based algorithm provides a provably fast and nearly (delay and memory) optimal RST solution under mild assumptions: weakened standard robust PCA assumptions and subspace change that is slow enough compared to the smallest magnitude outlier entry. Our theoretical claims are also backed by extensive experimental evidence for two video applications.

In new work, we have looked at what can be called the ``Phaseless PCA’’ problem. This involves recovering a low-rank matrix from phaseless (magnitude-only) linear projections of each of its columns. It finds important applications in dynamic phaseless imaging applications, such as dynamic sub-diffraction imaging or Fourier ptychography, involving recovering a set of slowly-changing images that together form an approximately low-rank matrix (with each vectorized image being one column). We introduce a simple alternating minimization solution that can provable recover the low-rank matrix with sa

Fri Mar 08

First Year Seminar

6:30pm - Vincent 364
First Year Seminar
TBA
Fri Mar 08

MCFAM Seminar

5:30pm - Vincent Hall 16
Feb 2018 Volatility Event
Yuepeng “Perry” Li, CFA, FRM, Parametric Portfolio Associates LLC
Abstract:

On the Monday of February 5th 2018, VIX Index (measure of expected future volatility) spiked by 116% to 37.3, and massive turbulence was observed across global financial markets. During the talk, we will review this event and discuss on the following topics:

  • How did we get there? --- Low volatility environment and the great snake of risk 
  • What happened? --- 2017’s hottest trades went wrong, and several funds and firms (!) were effectively wiped out
  • What did we learn? – Positioning, behavior, and never underestimate the risk of financial markets (convexity to volatility and VaR calcs)

 

Fri Mar 08

Combinatorics Seminar

3:35pm - Vincent Hall 570
Affine matrix-ball construction and its relation to representation theory
Dongkwan Kim, University of Minnesota
Abstract:

In 1985, Shi found a generalization of the Robinson-Schensted algorithm to (extended) affine symmetric groups and described their Kazhdan-Lusztig cells in terms of combinatorics. Recently, Chmutov, Lewis, Pylyavskyy, and Yudovina developed its generalization, called the affine matrix-ball construction (abbreviated AMBC). It provides a bijection from an (extended) affine symmetric group to the set of triples (P,Q,?) where P and Q are row-standard Young tableaux of the same shape and ? is an integer vector satisfying certain inequalities. In this talk, I will briefly explain this algorithm, and discuss how this is related to representation of (extended) affine symmetric groups, especially the asymptotic Hecke algebras introduced by Lusztig. This work is joint with Pavlo Pylyavskyy.

Fri Mar 08

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Mar 08

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 08

1:25pm - Lind 305
Internship/Job Searching 101: Answering Your Most Asked Beginner Questions
Whitney Moore, University of Minnesota, Twin Cities
Abstract:

Internship/job searching is a multifaceted process that can summon many questions along the way! During this workshop, we will aim to address your most asked questions about getting started with your search, including:
- Where to find internships/jobs to apply for
- What to look for and how to read an internship/job posting
- What you can be doing now and over the summer to help prepare for your search.
There will be time to discuss more questions during the session, so come with your questions in hand!

Whitney Moore has been a Career Counselor in the CSE Career Center at the University of Minnesota since the fall of 2011. Her passion lies in living a life of positivity and inspiring others to do the same, particularly while navigating career and leadership development. In addition to her work at the U of M, Whitney is a past President of the Minnesota College and University Career Services Association (MCUCSA) and holds degrees from Gustavus Adolphus College and Minnesota State University, Mankato. Away from campus, Whitney is motivated by running with her dog, competing in triathlon, eating baked goods, and exploring MN with her husband. As an utter positivist, you can also find her musings on living with positivity on Instagram at @ThePositivistExplorer!

Fri Mar 08

Probability Seminar

8:30am -
CANCELLED

Thu Mar 07

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Mar 07

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Mar 07

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu Mar 07

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Mar 07

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Thu Mar 07

Student Number Theory Seminar

11:00am - Vincent Hall 213
Knots and Primes
Eric Stucky, University of Minnesota
Abstract:

In this talk we will outline the basic premise for the analogy between knots (in manifolds) and primes (in number fields). This analogy involves some rather heavy definitions; we will review the topological background as needed, while taking a more intuitive angle on the arithmetic machinery. Time permitting, we will briefly sketch an extension of the Frobenius automorphism which is a major tool in understanding the analogy between the Legendre symbol and the linking number.

Thu Mar 07

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Mar 06

Representations of p-adic groups

8:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Mar 06

AMS Intro to Research Seminar

6:20pm - Vincent Hall 570
AMS Intro to Research Seminar

Wed Mar 06

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Generic Jordan forms and plane partitions
Sam Hopkins, University of Minnesota
Abstract:

We continue the introduction of the Garver-Patrias-Thomas paper by
exploring what the map from a quiver representations to its generic Jordan
form looks like in the case of a Type A quiver, and explain how this map is
related to bijections and generating functions for plane partitions.

Wed Mar 06

PDE Seminar

3:35pm - Vincent Hall 570
Quantitative estimates of propagation of chaos for large systems of interacting particles
Zhenfu Wang, University of Pennsylvania
Abstract:

We present a new method to derive quantitative estimates proving the propagation of chaos for large stochastic or deterministic systems of interacting particles. Our approach requires to prove large deviations estimates for non-continuous potentials modified by the limiting law. But it leads to explicit bounds on the relative entropy between the joint law of the particles and the tensorized law at the limit; and it can be applied to very singular kernels that are only in negative Sobolev spaces and include the Biot-Savart law for 2D Navier-Stokes and 2D Euler. Joint work with P.-E. Jabin.

Tue Mar 05

Colloquium

3:35pm - Vincent Hall 16
Cohomology of Shimura varieties
Sug Woo Shin, U.C. Berkeley
Abstract:

Shimura varieties are a certain class of algebraic varieties over number fields with lots of symmetries, introduced by Shimura and Deligne nearly half a century ago. They have been playing a central role in number theory and other areas. Langlands proposed a program to compute the L-functions and cohomology of Shimura varieites in 1970s; this was refined by Langlands-Rapoport and Kottwitz in 1980s. I will review some old and recent results in this direction.

Tue Mar 05

Dynamical Systems

2:30pm - Vincent Hall 313
Measuring attractor strength using bounded, nonautonomous control
Kate Meyer, UMN
Abstract:

A topological definition of an attractor leaves out metric information relevant to modeling real-world systems, particularly how far the attractor persists against perturbations and error. This talk will review some existing approaches to measuring the strength of an attractor in metric terms and will introduce the quantity “intensity” to generalize basin steepness to systems of autonomous ODEs in arbitrary dimension. One can compute an attractor’s intensity by probing a domain of attraction with bounded, non-autonomous control and tracking the sets reachable from the attractor. A connection between reachable sets and isolating blocks implies that an attractor’s intensity not only reflects its capacity to retain solutions under time-varying perturbations, but also gives a lower bound on the distance the attractor continues in the space of vector fields.
?

Tue Mar 05

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Mar 05

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Mon Mar 04

Representations of p-adic groups

8:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Mar 04

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Automorphic Forms and Number Theory

Mon Mar 04

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Applied and Computational Mathematics Seminar

Mon Mar 04

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Mar 04

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Mar 04

IMA Data Science Lab Seminar

1:25pm - Lind 305
Peculiar Properties of Locally Linear Embedding -- Toward Theoretical Understanding of Unsupervised Learning
Hau-tieng Wu, Duke University
Abstract:

Since its introduction in 2000, the locally linear embedding (LLE) has been widely applied as an unsupervised learning tool. However, only few hand-waiving arguments are available to explain what is going on before 2018. For the sake of scientific soundness, we provide a systematic analysis of LLE, particularly under the manifold setup. In this talk, several theoretical results will be discussed. (1) We derive the corresponding kernel function, which in general is asymmetric and and not form a Markov process. (2) The regularization is critical. Different regularizations lead to dramatically different results. If chosen correctly, asymptotically we obtain the Laplace-Beltrami operator even under nonuniform sampling. (3) It has an intimate relationship with the local covariance analysis and tangent bundle structure. (4) When the boundary is not empty, we run into an interesting mixed-type differential equation. (5) An ingredient of the kernel provides a novel way to detect boundary, and hence a new approach to derive the Laplace-Beltrami operator with the Dirichlet boundary condition. If time permits, its relationship with several statistical topics like the locally linear regression and error in variable will be discussed. This is a joint work with Nan Wu.

Fri Mar 01

First Year Seminar

6:30pm - Vincent 364
First Year Seminar
TBA
Fri Mar 01

MCFAM Seminar

5:30pm - Vincent Hall 16
Introduction to model selection principles for data analysis in the era of Big Data
Jie Ding, School of Statistics - University of Minnesota
Abstract:

In the era of “big data”, analysts usually explore various statistical models or machine learning methods for observed data in order to facilitate scientific discoveries or gain predictive power. Whatever data and fitting procedures are employed, a crucial step is to select the most appropriate model or method from a set of candidates. Model selection is a key ingredient in data analysis for reliable and reproducible statistical inference or prediction, and thus central to scientific studies in fields such as ecology, economics, engineering, finance, political science, biology, and epidemiology. There has been a long history of model selection techniques that arise from researches in statistics, information theory, and signal processing. A considerable number of methods have been proposed, following different philosophies and exhibiting varying performances. The purpose of this talk is to bring an overview of them, in terms of their motivation, large sample performance, and applicability. I will provide practically relevant discussions on theoretical properties of state-of- the-art model selection approaches, and share some thoughts on controversial views on the practice of model selection.

Bio for Jie Ding: https://cla.umn.edu/statistics/news-events/story/new-faculty-member-char...

Fri Mar 01

Combinatorics Seminar

3:35pm - Vincent Hall 570
Quotients of symmetric polynomial rings deforming the cohomology of the Grassmannian
Darij Grinberg
Abstract:

One of the many connections between Grassmannians and combinatorics is cohomological: The cohomology ring of a Grassmannian Gr(k,n) is a quotient of the ring S of symmetric polynomials in k variables. More precisely, it is the quotient of S by the ideal generated by the k consecutive complete homogeneous symmetric polynomials hn?k+1,hn?k+2,...,hn. We propose and begin to study a deformation of this quotient, in which the ideal is instead generated by hn?k+1?a1,hn?k+2?a2,...,hn?ak for some k fixed elements a1,a2,...,ak of the base ring. This generalizes both the classical and the quantum cohomology rings of Gr(k,n). We find two bases for the new quotient, as well as an S3-symmetry of its structure constants, a "rim hook rule" for straightening arbitrary Schur polynomials, and a fairly complicated Pieri rule. We conjecture that the structure constants are nonnegative in an appropriate sense (treating the ai as signed indeterminate), which suggests a geometric or combinatorial meaning for the quotient. There are multiple open questions and opportunities for further research.

Fri Mar 01

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Mar 01

Probability Seminar

2:30pm - Vincent Hall 213
Probability Seminar

Fri Mar 01

1:25pm - Lind 305
Lecture
Sohan Das, EVS, Inc.
Fri Mar 01

Probability Seminar

8:30am -
CANCELLED

Thu Feb 28

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Feb 28

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Feb 28

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Virtual Resolutions of Monomial Ideals
Jay Yang, University of Minnesota
Abstract:

Virtual resolutions as defined by Berkesch, Erman, and Smith,
provide a more geometrically meaningful generalization of free
resolutions in the case of subvarieties of a toric variety. In this
setting I prove an analog of Hilbert's syzygy theorem for virtual
resolutions of monomial ideals in toric varieties subject to some mild
conditions.

Thu Feb 28

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Feb 28

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Thu Feb 28

Student Number Theory Seminar

11:00am - Vincent Hall 213
Finite Hecke Algebras and Their Characters
Andy Hardt, University of Minnesota
Abstract:

We explore some of the major results in the study of finite Hecke algebras and their character tables. These algebras are useful in the study of representations of finite Chevalley groups, and also appear in the study of quantum groups and knot/link invariants. We'll run through some equivalent definitions of this versatile object, and then talk about a couple approaches to its character theory. In particular, Starkey's rule is a combinatorial formula for the character table of the type A finite Hecke algebra. We'll briefly sketch a proof of this result and talk about the possibility for extension to other types. Starkey's rule allows us to calculate the weights of Ocneanu traces, which are important invariants in knot theory relating to type A Hecke algebras, and a type B version of Starkey's rule would give us insights into the type B analogue to Ocneanu traces.

Thu Feb 28

Reading Seminar on Automorphic Forms

10:00am - Vincent Hall 570
Reading Seminar on Automorphic Forms

Wed Feb 27

Representations of p-adic groups

8:30pm - Vincent Hall 213
Representations of p-adic groups

Wed Feb 27

Algebraic Representation Theory Seminar

4:40pm - Vincent Hall 206
Jordan form data of quiver representations
Sam Hopkins, University of Minnesota
Abstract:

We introduce the paper of Garver, Patrias and Thomas: Minuscule reverse plane partitions via quiver representations, starting with a review of aspects of quiver representations.

Wed Feb 27

AMS Intro to Research Seminar

12:20pm - Vincent Hall 570
AMS Intro to Research Seminar
Adrienne Sands
Tue Feb 26

Dynamical Systems

2:30pm - Vincent Hall 313
Spectral Consequences of Hidden Symmetry in Network Dynamical Systems
Eddie Nijholt, UIUC
Abstract:

Network dynamical systems play an important role in many fields of science; whenever there are agents whose time evolution is linked through some interaction structure, we may view the system as a network and model it accordingly. However, despite their prevalence, network dynamical systems are in general not well understood. One can identify two reasons for this. First of all, many coordinate changes and other transformations from well-known dynamical systems techniques do not respect the underlying network structure. Second of all, despite this somewhat `ethereal' character, systems with a network structure often display behavior that is highly anomalous for general dynamical systems. Examples of this include very unusual bifurcation scenarios and high spectral degeneracies. As a possible explanation of this, it can be shown that a large class of network ODEs admit hidden symmetry, which may be discovered through the so-called fundamental network construction. In most cases, this underlying symmetry does not come from a group though, but rather from a more general algebraic structure such as a monoid or category. I will show how the fundamental network allows one to adapt techniques from dynamical systems theory to a network setting, and how some of the more unusual properties of networks may be explained. In doing so, I will mostly focus on spectral properties of linear network maps.
?

Tue Feb 26

Math Physics Seminar

12:20pm - Vincent Hall 209
Math Physics Seminar

Tue Feb 26

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Mon Feb 25

Representations of p-adic groups

8:30pm - Vincent Hall 213
Representations of p-adic groups

Mon Feb 25

Automorphic Forms and Number Theory

3:35pm - Vincent Hall 207
Integral representations and meromorphic continuations of Eisenstein series and L-functions
Paul Garrett, University of Minnesota
Mon Feb 25

Applied and Computational Mathematics Seminar

3:35pm - Vincent Hall 113
Primal dual methods for Wasserstein gradient flows
Li Wang, University of Minnesota
Abstract:

We develop a variational method for nonlinear equations with a gradient flow structure. Such equations arise in applications of a wide range, such as porous median flows, material science, animal swarms, and chemotaxis. Our method builds on the JKO framework, which evolves the equation as a gradient flow with respect to the Wasserstein metric. As a result, our method has built-in positivity preserving, entropy decreasing properties, and overcomes stability issue due to the strong nonlinearity and degeneracy. Furthermore, our method is massively parallelizable, and thus extremely efficient in high dimensions. Upon discretization of the PDE constraint, we also prove the ??convergence of the fully discrete optimization towards the continuum JKO scheme.

Mon Feb 25

Applied and Computational Math Colloquium

3:35pm - Vincent Hall 313
Applied and Computational Math Colloquium

Mon Feb 25

Topology Seminar

3:30pm - Vincent Hall 301
Topology Seminar: TBA

Mon Feb 25

IMA Data Science Lab Seminar

1:25pm - Lind 305
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension
David Woodruff, Carnegie Mellon University
Abstract:

We obtain the first strong coresets for the k-median and subspace approximation problems with sum of distances objective function, on n points in d dimensions, with a number of weighted points that is independent of both n and d; namely our coresets have size poly(k/eps). A strong coreset (1+eps)-approximates the cost function for all possible sets of centers simultaneously. We also give input sparsity time algorithms for computing these coresets, which are fixed parameter tractable in k/eps. We obtain the result by introducing a new dimensionality reduction technique for coresets that significantly generalizes earlier results for squared Euclidean distances to sums of p-th powers of Euclidean distances for constant p >= 1.

Joint work with Christian Sohler

Fri Feb 22

First Year Seminar

6:30pm - Vincent 364
First Year Seminar
TBA
Fri Feb 22

MCFAM Seminar

5:30pm - Vincent Hall 112
The Prospect of a Forgivable Premium Insurance Policy
Kyle Jore, University of Minnesota
Abstract:

Despite low premiums and high subsidies, farmers view crop insurance programs as a gamble. One explanation, in a revenue protection program, is that farmers exhibit loss aversion when premiums are just above coverage. Introducing a model for conditional loss aversion (CLA), in the context of cumulative prospect theory, it can be shown that the introduction of a forgivable premium can remove the producers loss aversion. This would result in producers being willing to spend more on an insurance program and thus, allow for a reduction in the implied subsidy.

Bio: https://www.linkedin.com/in/kylejore/

Fri Feb 22

Combinatorics Seminar

3:35pm - Vincent Hall 570
Counting factorizations in complex reflection groups
Joel Lewis, George Washington University
Abstract:

In this talk, I'll discuss ongoing work with Alejandro Morales generalizing a 30-year old result of Jackson on permutation enumeration: we consider the enumeration of arbitrary factorizations of a Coxeter element in a well generated finite complex reflection group, keeping track of the fixed space dimension of the factors. As in the case of the symmetric group, the factorization counts are ugly, so the goal is to choose a basis for the generating function in which the answer is nice. In the case of the infinite families of monomial matrices, we accomplish this via combinatorial arguments; a notion of transitivity of a factorization appears for the "type D" group G(m, m, n). I'll also describe some puzzling partial results in the exceptional cases.

Fri Feb 22

PDE Seminar

3:35pm - Vincent Hall 311
Special PDE Seminar - How to obtain parabolic theorems from their elliptic counterparts
Blair Davey, City College of New York
Abstract:

Experts have long realized the parallels between elliptic and parabolic theory of partial differential equations. It is well-known that elliptic theory may be considered a static, or steady-state, version of parabolic theory. And in particular, if a parabolic estimate holds, then by eliminating the time parameter, one immediately arrives at the underlying elliptic statement. Producing a parabolic statement from an elliptic statement is not as straightforward. In this talk, we demonstrate a method for producing parabolic theorems from their elliptic analogs. Specifically, we show that an $L^2$ Carleman estimate for the heat operator may be obtained by taking a high-dimensional limit of $L^2$ Carleman estimates for the Laplacian. Other applications of this technique will be discussed.

Fri Feb 22

Lie Theory Seminar

2:30pm - Vincent Hall 313
Lie Theory Seminar

Fri Feb 22

Probability Seminar

2:30pm - Vincent Hall 213
Largest Entries of Sample Correlation Matrices from Equi-correlated Normal Populations
Tiefeng Jiang, UMN
Abstract:

We the limiting distribution of the largest off-diagonal entry of the sample correlation matrices of high-dimensional Gaussian populations with equi-correlation structure. Assume the entries of the population distribution have a common correlation coefficient r >0 and both the population dimension p and the sample size n tend to infinity with log p=o(n^{1/3}).
As 0< r<1, we prove that the largest off-diagonal entry of the sample correlation matrix converges to a Gaussian distribution, and the same is true for the sample covariance matrix as 0< r<1/2. This differs substantially from a well-known result for the independent case where r=0, in which the above limiting distribution is an extreme-value distribution. We then study the phase transition between these two limiting distributions and identify the regime of r where the transition occurs. It turns out that the thresholds of such a regime depend on n and converge to zero. If r is less than the threshold, larger than the threshold or is equal to the threshold, the corresponding limiting distribution is the extreme-value distribution, the Gaussian distribution and a convolution of the two distributions, respectively. The proofs rely on a subtle use of the Chen-Stein Poisson approximation method, conditioning, a coupling to create independence and a special property of sample correlation matrices. The results are then applied to evaluating the power of a high-dimensional testing problem of identity correlation matrix.

Fri Feb 22

1:25pm - Lind 305
Industrial Problems in Digital Retail
Samantha Schumacher, Target Corporation
Abstract:

Target is rapidly growing into the online retail space. Behind that growth, there are a lot of advanced mathematical problems to solve. Some mathematics problems in supply chain are easy to spot (traveling salesman problem!), and some are less obvious. We’ll talk through at least 2 less-obvious problems which are currently being investigated by Target’s Supply Chain analytics teams. The goal of this talk is to give insight into the broad range of problems we are solving at Target. Additionally, I’ll spend a little time talking about solutions. What makes a good solution in Industry? What makes a good problem?

Samantha Schumacher has been working math problems at Target for the last 5 years. She currently leads an analytics and engineering team for the network planning & digital fulfillment of Target’s supply chain. She has her PhD in applied mathematics from University of Minnesota and an undergraduate degree in theater from Smith College. So, if all goes according to plan, she will use those theater skills to keep the talk engaging! She is also the long-time author of the blog: www.SocialMathematics.net which considers the interaction of mathematics and the modern world.

Fri Feb 22

Probability Seminar

8:30am -
CANCELLED

Thu Feb 21

Differential Geometry and Symplectic Topology Seminar

1:25pm - Vincent Hall 570
Differential Geometry / Symplectic Topology Seminar

Thu Feb 21

Algebraic Geometry

1:25pm - Vincent Hall 113
Algebraic Geometry Seminar

Thu Feb 21

Commutative Algebra Seminar

1:25pm - Vincent Hall 301
Commutative Algebra Seminar

Thu Feb 21

Math Club Seminar

12:20pm - Vincent Hall 570
Math Club

Thu Feb 21

Climate Seminar

11:15am - Vincent Hall 570
Climate Change Seminar

Thu Feb 21

Student Number Theory Seminar

</