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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 XX 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 XX in [29]. To access the more complicated spectral radius, we need to establish a new decorrelation mechanism for the low-lying singular values of XzX-z for different complex shift parameters zz using the Dyson Brownian Motion.

Keywords

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

R2 v1 2026-06-28T04:39:57.152Z