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Spectrum of large non-hermitian random matrices

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If you have a question about this talk, please contact Mustapha Amrani.

Discrete Analysis

In this talk, we will revisit recent works of T. Tao, V. Vu and others on large non-hermitian random matrices with independent and identically distributed entries. We will explain the general strategy behind this class of problems. As a byproduct, we will explain why the generalized eigenvalues distribution of two independent matrices converges almost surely to the uniform measure on the Riemann sphere.

This talk is part of the Isaac Newton Institute Seminar Series series.

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