On the Joint Moments of the Characteristic Polynomials of Random Unitary Matrices

Author:

Assiotis Theodoros1,Keating Jonathan P2,Warren Jon3

Affiliation:

1. School of Mathematics, University of Edinburgh, James Clerk Maxwell Building, Peter Guthrie Tait Rd, Edinburgh EH9 3FD, UK

2. Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK

3. Department of Statistics, University of Warwick, Coventry CV4 7AL, UK

Abstract

Abstract We establish the asymptotics of the joint moments of the characteristic polynomial of a random unitary matrix and its derivative for general real values of the exponents, proving a conjecture made by Hughes [ 40] in 2001. Moreover, we give a probabilistic representation for the leading order coefficient in the asymptotic in terms of a real-valued random variable that plays an important role in the ergodic decomposition of the Hua–Pickrell measures. This enables us to establish connections between the characteristic function of this random variable and the $\sigma $-Painlevé III’ equation.

Funder

ERC Advanced Grant

Royal Society Wolfson Research Merit Award

Publisher

Oxford University Press (OUP)

Subject

General Mathematics

Reference62 articles.

1. Hermitian, symmetric and symplectic random ensembles: PDEs for the distribution of the spectrum;Adler;Ann. of Math. (2),2001

2. Hua–Pickrell diffusions and Feller processes on the boundary of the graph of spectra;Assiotis;Ann. Inst. Henri Poincaré Probab. Stat.,2020

3. A matrix Bougerol identity and the Hua–Pickrell measures;Assiotis;Electron. Comm. Probab.,2018

4. Ergodic decomposition for inverse Wishart measures on infinite positive-definite matrices;Assiotis;SIGMA,2019

5. The boundary of the orbital beta process;Assiotis;MMJ,2021

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