There is a seminar tomorrow at 2:10-3:00pm in Fields 210.
Abstract: The study of the empirical law of eigenvalues of a random matrix is an
important step in understanding its asymptotic behaviour. But while in
the self-adjoint or normal case the proof is often straightforward,
streamlined by a collection of existing results, in the general case it
is usually an especially tricky problem due to the necessary use of the
so-called Brown measure. The aim of this talk is to investigate one of
those models. In the late nineties, Philippe Biane studied the
asymptotic behaviour of Brownian motions on Lie Group. While in the
unitary case he fully described their limit and proved the convergence,
in the case of GL(N,C), this problem remained open until recently, where
we managed to prove it in its entirety. This talk will be divided into
three part, first an introduction to explain the difficulties arising
from handling the Brown measure, then an explanation of the model and
the result that we prove, and finally some elements of proof. In
particular, one of the key element to this proof is a new approach to
computing matrix integrals with the help of free probability that has
yielded pretty general results in the last few years. This talk is based
on a joint work (
https://arxiv.org/pdf/2511.10535 ) with Tatiana Brailovskaya, Nicholas Cook, and Todd Kemp.