arXiv · 1110.2471
Convergence of the spectral measure of non normal matrices
Abstract
We discuss regularization by noise of the spectrum of large random non-Normal matrices. Under suitable conditions, we show that the regularization of a sequence of matrices that converges in *-moments to a regular element $a$, by the addition of a polynomially vanishing Gaussian Ginibre matrix, forces the empirical measure of eigenvalues to converge to the Brown measure of $a$.
Explore related subjects
Keep this discovery
Alice Guionnet, Philip Matchett Wood, Ofer Zeitouni. 2011-10-11. Convergence of the spectral measure of non normal matrices. https://arxiv.org/abs/1110.2471
Cite the original work for its findings. Save a collection to share your selection of sources.