Presentation Name: On Cramer-von Mises statistic for the spectral distribution of random matrices
Presenter: 鲍志刚
Date: 2021-01-08
Location: 腾讯会议 ID: 472 771 235
Abstract:

Let F_n and F be the empirical and limiting spectral distributions of an n by n Wigner matrix. The Cramer-von Mises (CvM) statistic is a classical goodness-of-fit statistic that characterizes the distance between F_n and F in L^2-norm. In this talk, we will consider a mesoscopic approximation of the CvM statistic for Wigner matrices, and derive its limiting distribution.​ The distribution fits well the heuristic prediction given by the analogue  of the log-correlated Gaussian field. This is a joint work with Yukun He.

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