# Difference between revisions of "Past Probability Seminars Spring 2020"

(→Friday, November 17, 2017, Karl Leichty DePaul University) |
(→Thursday, September 21, 2017, TBA) |
||

Line 15: | Line 15: | ||

The hard edge refers to the distribution of the smallest singular value for certain ensembles of random matrices, or, and what is the same, that of the minimal point of a logarithmic gas constrained to the positive half line. For any "inverse temperature" and “quadratic" potential the possible limit laws (as the dimension, or number of particles, tends to infinity) was characterized by Jose Ramirez and myself in terms of the spectrum of a (random) diffusion generator. Here we show this picture persists for more general convex polynomial potentials. Joint work with Patrick Waters. | The hard edge refers to the distribution of the smallest singular value for certain ensembles of random matrices, or, and what is the same, that of the minimal point of a logarithmic gas constrained to the positive half line. For any "inverse temperature" and “quadratic" potential the possible limit laws (as the dimension, or number of particles, tends to infinity) was characterized by Jose Ramirez and myself in terms of the spectrum of a (random) diffusion generator. Here we show this picture persists for more general convex polynomial potentials. Joint work with Patrick Waters. | ||

− | == Thursday, September 21, 2017, TBA== | + | <!-- == Thursday, September 21, 2017, TBA==--> |

== Thursday, September 28, 2017, TBA == | == Thursday, September 28, 2017, TBA == |

## Revision as of 11:28, 3 October 2017

# Fall 2017

**Thursdays in 901 Van Vleck Hall at 2:25 PM**, unless otherwise noted.
**We usually end for questions at 3:15 PM.**

If you would like to sign up for the email list to receive seminar announcements then please send an email to join-probsem@lists.wisc.edu.

## Thursday, September 14, 2017, Brian Rider Temple University

**A universality result for the random matrix hard edge**

The hard edge refers to the distribution of the smallest singular value for certain ensembles of random matrices, or, and what is the same, that of the minimal point of a logarithmic gas constrained to the positive half line. For any "inverse temperature" and “quadratic" potential the possible limit laws (as the dimension, or number of particles, tends to infinity) was characterized by Jose Ramirez and myself in terms of the spectrum of a (random) diffusion generator. Here we show this picture persists for more general convex polynomial potentials. Joint work with Patrick Waters.

## Thursday, September 28, 2017, TBA

## Thursday, October 26, 2017, Konstantin Matetski Toronto

## Thursday, November 2, 2017, TBA

## Thursday, November 9, 2017, TBA

## Friday, November 17, 2017, 1pm Karl Leichty DePaul University

** Please note the unusual day and time **