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Random covariance matrices: Universality of local statistics of eigenvalues

Spectral Theory 2012-05-28 v5 Probability

Abstract

We study the eigenvalues of the covariance matrix 1nMM\frac{1}{n}M^*M of a large rectangular matrix M=Mn,p=(ζij)1ip;1jnM=M_{n,p}=(\zeta_{ij})_{1\leq i\leq p;1\leq j\leq n} whose entries are i.i.d. random variables of mean zero, variance one, and having finite C0C_0th moment for some sufficiently large constant C0C_0. The main result of this paper is a Four Moment theorem for i.i.d. covariance matrices (analogous to the Four Moment theorem for Wigner matrices established by the authors in [Acta Math. (2011) Random matrices: Universality of local eigenvalue statistics] (see also [Comm. Math. Phys. 298 (2010) 549--572])). We can use this theorem together with existing results to establish universality of local statistics of eigenvalues under mild conditions. As a byproduct of our arguments, we also extend our previous results on random Hermitian matrices to the case in which the entries have finite C0C_0th moment rather than exponential decay.

Keywords

Cite

@article{arxiv.0912.0966,
  title  = {Random covariance matrices: Universality of local statistics of eigenvalues},
  author = {Terence Tao and Van Vu},
  journal= {arXiv preprint arXiv:0912.0966},
  year   = {2012}
}

Comments

Published in at http://dx.doi.org/10.1214/11-AOP648 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)