Seminar on Free Probability
and Random Matrices

Fall 2025

Organizer: Jamie Mingo

Upcoming talks       Previous Schedules




Friday, September 11, 10:30 - 11:30, Jeff 319
James Mingo (Queen's)
Strong Convergence for the GUE, II
This week I will continue the discussion on showing that the norm of a random matrix is large is exponentially small. Notes for week 1
Friday, September 11, 10:30 - 11:30, Jeff 319
Jamie Mingo (Queen's)
Strong Convergence for the GUE, I
This term the seminar will have a focus on strong convergence of random matrix ensembles. The interest in strong convergence is motivated by the need to understand the largest and smallest eigenvalue of a self-adjoint random matrix. Last January, Felix Parraud gave us an introduction to the subject in his colloquium talk. Recent papers of Chen, Garza-Vargas, and van Handel have produced what the authors describe as a soft approach. I will begin by reviewing some preliminary material from the books of Tao and Vershynin. These will be used to revisit strong convergence for the Gaussian unitary ensemble. The material only uses basic probability theory and linear algebra.


Upcoming Talks







Previous Schedules

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Winter 2018 Winter 2019 Winter 2020 Winter 2021 Winter 2022
Fall 2010 Fall 2011 Fall 2012 Fall 2013 Fall 2014 Fall 2015 Fall 2016
Winter 2011 Winter 2012 Winter 2013 Winter 2014 Winter 2015 Winter 2016 Winter 2017
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Winter 2004 Winter 2005 Winter 2006 Winter 2007 Winter 2008 Winter 2009 Winter 2010