English

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

Probability 2016-04-11 v3 Combinatorics

Abstract

We consider Gaussian elliptic random matrices XX of a size N×NN \times N with parameter ρ\rho, 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} = \rho. We are interested in the asymptotic distribution of eigenvalues of the matrix W=1N2X2X2W =\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 \rho^{2k}.

Keywords

Cite

@article{arxiv.1501.04615,
  title  = {Singular Values Distribution of Squares of Elliptic Random Matrices and Type B Narayana Polynomials},
  author = {Nikita Alexeev and Alexander Tikhomirov},
  journal= {arXiv preprint arXiv:1501.04615},
  year   = {2016}
}

Comments

19 pages, 8 figures