We consider random, complex sample covariance matrices 1/N X*X, where X is a p × N random matrix with i.i.d. entries of distribution μ. It has been conjectured that both the distribution of the distance between nearest neighbor eigenvalues in the bulk and that of the smallest eigenvalues become, in the limit N → ∞, p/N → 1, the same as that identified for a complex Gaussian distribution μ. We prove these conjectures for a certain class of probability distributions μ. © 2004 Wiley Periodicals, Inc.
CITATION STYLE
Arous, G. B., & Péché, S. (2005). Universality of local eigenvalue statistics for some sample covariance matrices. Communications on Pure and Applied Mathematics, 58(10), 1316–1357. https://doi.org/10.1002/cpa.20070
Mendeley helps you to discover research relevant for your work.