April 23rd, 2026 (Thursday) at 3pm - RH 340P
Abstract
If you flip a coin or roll a die a thousand times, write down the results, and compare them with those of your friends (who also had nothing better to do), you will most likely see that, after proper normalization, they follow the normal distribution. This phenomenon was first observed in the eighteenth century and has since appeared in many different areas of mathematics.
In this talk, I will discuss what a Central Limit Theorem looks like for products of random matrices, and why it is connected to measure regularity and random dynamical systems. I will cover some classical results as well as some recent ones, and try to give a bit of intuition for what is going on.
About the Speaker
Grisha is a 5th-year graduate student working with Anton Gorodetski on random dynamics and its applications, mostly in spectral theory. Aside from math, he likes mountains, rock climbing, and Nutella.
Jongwon D. Kim ( jongwodk AT uci DOT edu )
Aranya Sen (aranyas1 AT uci DOT edu)
Clara Park (yunkyup AT uci DOT edu)
何でもは知らないわよ。知ってることだけ。