On Fluctuations for Random Band Toeplitz Matrices
Yiting Li, Xin Sun

TL;DR
This paper analyzes the fluctuations of empirical measures of two families of random band Toeplitz matrices, showing they converge to Gaussian processes with explicitly derived covariance structures, using the moment method.
Contribution
It introduces a detailed study of the Gaussian fluctuations of spectral measures for random band Toeplitz matrices with both independent entries and Brownian motion entries, including covariance structures.
Findings
Fluctuations converge to centered Gaussian families.
Covariance structures are explicitly derived.
Special cases include Brownian motion and quadratic fluctuations.
Abstract
In this paper we study two one-parameter families of random band Toeplitz matrices: \[ A_n(t)=\frac{1}{\sqrt{b_n}}\Big(a_{i-j}\delta_{|i-j|\le[b_nt]}\Big)_{i,j=1}^n \quad\text{and}\quad B_n(t)=\frac{1}{\sqrt{b_n}}\Big(a_{i-j}(t)\delta_{|i-j|\le b_n}\Big)_{i,j=1}^n \] where 1. , in are independent random variables and 2. , in are independent copies of the standard Brownian motion at time and . As varies, the empirical measures and are measure valued stochastic processes. The purpose of this paper is to study the fluctuations of and as goes to . Given a monomial with , the corresponding rescaled fluctuations of and are \[\sqrt{b_n}\Big(\int…
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Advanced Algebra and Geometry
