Abstract

The Single Ring Theorem, by Guionnet, Krishnapur and Zeitouni, describes the empirical eigenvalue distribution of a large generic matrix with prescribed singular values, i.e. an N×NN\times N matrix of the form A=UTVA=UTV, with U,VU, V some independent Haar-distributed unitary matrices and TT a deterministic matrix whose singular values are the ones prescribed. In this text, we give a local version of this result, proving that it remains true at the microscopic scale (log⁡N)−1/4(\log N)^{-1/4}. On our way to prove it, we prove a matrix subordination result for singular values of sums of non Hermitian matrices, as Kargin did for Hermitian matrices. This allows to prove a local law for the singular values of the sum of two non Hermitian matrices and a delocalization result for singular vectors.

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