Differential Operators and Spectral Distributions of Invariant Ensembles from the Classical Orthogonal Polynomials. The Continuous Case
Author(s) -
Michel Ledoux
Publication year - 2004
Publication title -
electronic journal of probability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.666
H-Index - 53
ISSN - 1083-6489
DOI - 10.1214/ejp.v9-191
Subject(s) - mathematics , orthogonal polynomials , laguerre polynomials , random matrix , eigenvalues and eigenvectors , eigenfunction , stochastic differential equation , mathematical analysis , jacobi polynomials , unitary state , gaussian , laplace transform , markov chain , invariant (physics) , pure mathematics , mathematical physics , physics , statistics , quantum mechanics , political science , law
Following the investigation by U. Haagerup and S. Thorbj¿rnsen, we present a simple difierential approach to the limit theorems for empirical spectral distributions of complex random matrices from the Gaussian, Laguerre and Jacobi Unitary Ensembles. In the framework of abstract Markov difiusion operators, we derive by the integration by parts formula difierential equations for Laplace transforms and recurrence equations for moments of eigenfunction measures. In particular, a new description of the equilibrium measures as adapted mixtures of the universal arcsine law with an independent uniform distribution is emphasized. The moment recurrence relations are used to describe sharp, non asymptotic, small deviation inequalities on the largest eigenvalues at the rate given by the Tracy-Widom asymptotics.
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