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Singular Values Distribution of Squares of Elliptic Random Matrices and Type B Narayana Polynomials
Authors:Nikita Alexeev  Alexander Tikhomirov
Institution:1.Chebyshev Laboratory,St. Petersburg State University,Saint Petersburg,Russia;2.George Washington University,Washington,USA;3.Department of Mathematics, Komi Science Center of Ural Division of RAS,Syktyvkar,Russia;4.Syktyvkar State University,Syktyvkar,Russia
Abstract:
We consider Gaussian elliptic random matrices X of a size \(N \times N\) with parameter \(\rho \), i.e., matrices whose pairs of entries \((X_{ij}, X_{ji})\) are mutually independent Gaussian vectors with \(\mathbb {E}\,X_{ij} = 0\), \(\mathbb {E}\,X^2_{ij} = 1\) and \(\mathbb {E}\,X_{ij} X_{ji} = \rho \). We are interested in the asymptotic distribution of eigenvalues of the matrix \(W =\frac{1}{N^2} X^2 X^{*2}\). We show that this distribution is determined by its moments, and we provide a recurrence relation for these moments. We prove that the (symmetrized) asymptotic distribution is determined by its free cumulants, which are Narayana polynomials of type B:
$$\begin{aligned} c_{2n} = \sum _{k=0}^n {\left( {\begin{array}{c}n\\ k\end{array}}\right) }^2 \rho ^{2k}. \end{aligned}$$
Keywords:
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