The universality principle is one of the most fundamental concepts in understanding probability. This principle states that the details of the underlying structure do not affect the outcome as long as there are sufficiently many different sources of randomness. The classical example of universality in mathematics is the central limit theorem for which the Gaussian distribution plays the role of the universality class. In this talk, I will introduce various universality classes in modern probability theory in the context of the random matrix theory and random conformal geometry.

일시: 10월 4일 (화) 16:00-16:30
장소: 129동 101호 / https://snu-ac-kr.zoom.us/j/2473239867