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Eigenvector correlations in the complex Ginibre ensemble

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arxiv 1805.08993 v1 pith:ABJT5M6A submitted 2018-05-23 math.PR math-phmath.MP

classification math.PRmath-phmath.MP
keywords ensemblecomplexginibrecorrelationseigenvectoreigenvectorsgaussianmatrix
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abstract

The complex Ginibre ensemble is an $N\times N$ non-Hermitian random matrix over $\mathbb{C}$ with i.i.d. complex Gaussian entries normalized to have mean zero and variance $1/N$. Unlike the Gaussian unitary ensemble, for which the eigenvectors are distributed according to Haar measure on the compact group $U(N)$, independently of the eigenvalues, the geometry of the eigenbases of the Ginibre ensemble are not particularly well understood. In this paper we systematically study properties of eigenvector correlations in this matrix ensemble. In particular, we uncover an extended algebraic structure which describes their asymptotic behavior (as $N$ goes to infinity). Our work extends previous results of Chalker and Mehlig [CM98], in which the correlation for pairs of eigenvectors was computed.

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  1. On eigenvector statistics in the spherical and truncated unitary ensembles

    math.PR 2019-08 accept novelty 6.0 of 10

    For the spherical and truncated unitary ensembles, diagonal eigenvector overlaps decompose into products of independent variables and converge, conditional on one eigenvalue, to the inverse of a gamma-2 distribution.

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