Exponential Rank Bounds for Random Matrices

Series
Stochastics Seminar
Time
Thursday, October 1, 2026 - 3:30pm for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Achintya Polavarapu – Georgia Tech – apolavarapu6@gatech.edu
Organizer
Benjamin McKenna

A basic question in random matrix theory is how likely a matrix is to have a large rank. For many classical models, this probability decays extremely quickly, but the strongest results often rely on the entries being identically distributed. In this talk, I will discuss how to obtain the same exponential scale for matrices with fully independent, non-identically distributed entries under only a uniform anti-concentration assumption and explain the main ideas that make this possible.