Authors: S Péché
Publish Date: 2005/08/17
Volume: 134, Issue: 1, Pages: 127-173
Abstract
We compute the limiting eigenvalue statistics at the edge of the spectrum of large Hermitian random matrices perturbed by the addition of small rank deterministic matrices We consider random Hermitian matrices with independent Gaussian entries M ij i≤j with various expectations We prove that the largest eigenvalue of such random matrices exhibits in the large N limit various limiting distributions depending on both the eigenvalues of the matrix Open image in new window and its rank This rank is also allowed to increase with N in some restricted way
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