Moments of Generalized Cauchy Random Matrices and continuous-Hahn Polynomials

Theodoros Assiotis, Benjamin Bedert, Mustafa Alper Gunes, Arun Soor

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In this paper we prove that, after an appropriate rescaling, the sum of moments E(s)N(Tr(|H|2k+2+|H|2k)) of an N×N Hermitian matrix H sampled according to the generalized Cauchy (also known as Hua-Pickrell) ensemble with parameter s>0 is a continuous-Hahn polynomial in the variable k. This completes the picture of the investigation that began by Cunden, Mezzadri, O'Connell and Simm who obtained analogous results for the other three classical ensembles of random matrices, the Gaussian, the Laguerre and Jacobi. Our strategy of proof is somewhat different from the one employed previously due to the fact that the generalized Cauchy is the only classical ensemble which has a finite number of integer moments. Our arguments also apply, with straightforward modifications, to the Gaussian, Laguerre and Jacobi cases as well. We finally obtain a differential equation for the one-point density function of the eigenvalue distribution of this ensemble and establish the large N asymptotics of the moments.
Original languageEnglish
Article number4923
JournalNonlinearity
Volume34
Issue number7
DOIs
Publication statusPublished - 25 Jun 2021

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