The eigenvalues of i.i.d. matrices are hyperuniform
Probability
2026-02-25 v2
Abstract
We prove that the point process of the eigenvalues of real or complex non-Hermitian matrices with independent, identically distributed entries is hyperuniform: the variance of the number of eigenvalues in a subdomain of the spectrum is much smaller than the volume of . Our main technical novelty is a very precise computation of the covariance between the resolvents of the Hermitization of , for two distinct complex parameters .
Cite
@article{arxiv.2602.17628,
title = {The eigenvalues of i.i.d. matrices are hyperuniform},
author = {Giorgio Cipolloni and László Erdős and Oleksii Kolupaiev},
journal= {arXiv preprint arXiv:2602.17628},
year = {2026}
}
Comments
58 pages + 41 page of supplemental materials, 1 figure. v1->v2: references are updated