Singular Values Distribution of Squares of Elliptic Random Matrices and Type B Narayana Polynomials

preprint2016arXivOpen access

Abstract

We consider Gaussian elliptic random matrices XX of a size N×NN \times N with parameter ρρ, i.e., matrices whose pairs of entries (Xij,Xji)(X_{ij}, X_{ji}) are mutually independent Gaussian vectors, EXij=0E X_{ij} = 0, EXij2=1E X^2_{ij} = 1 and EXijXji=ρE X_{ij} X_{ji} = ρ. We are interested in the asymptotic distribution of eigenvalues of the matrix W=1N2X2X∗2W =\frac{1}{N^2} X^2 X^{*2}. We have shown that this distribution is defined by its moments and we provide a recurrent relation for these moments. We have proven that the (symmetrized) asymptotic distribution is determined by its free cumulants, which are Narayana polynomials of type B: c2n=∑k=0n(nk)2ρ2k.c_{2n} = \sum_{k=0}^n \binom{n}{k}^2 ρ^{2k}.

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