Precise asymptotics for the spectral radius of a large random matrix
Probability
2024-03-05 v3
Abstract
We consider the spectral radius of a large random matrix with independent, identically distributed entries. We show that its typical size is given by a precise three-term asymptotics with an optimal error term beyond the radius of the celebrated circular law. The coefficients in this asymptotics are universal but they differ from a similar asymptotics recently proved for the rightmost eigenvalue of in [29]. To access the more complicated spectral radius, we need to establish a new decorrelation mechanism for the low-lying singular values of for different complex shift parameters using the Dyson Brownian Motion.
Cite
@article{arxiv.2210.15643,
title = {Precise asymptotics for the spectral radius of a large random matrix},
author = {Giorgio Cipolloni and László Erdős and Yuanyuan Xu},
journal= {arXiv preprint arXiv:2210.15643},
year = {2024}
}
Comments
Minor revision