Regularization of non-normal matrices by Gaussian noise

preprint2014arXivOpen access

Abstract

We consider the regularization of matrices MNM^N written in Jordan form by additive Gaussian noise N−γGNN^{-γ}G^N, where GNG^N is a matrix of i.i.d. standard Gaussians and γ>1/2γ>1/2 so that the operator norm of the additive noise tends to 00 with NN. Under mild conditions on the structure of MNM^N we evaluate the limit of the empirical measure of eigenvalues of MN+N−γGNM^N+N^{-γ} G^N and show that it depends on γγ, in contrast with the case of a single Jordan block.

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