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Autores principales: Jonnadula, Bhargavi, Keating, Jonathan P., Mezzadri, Francesco
Formato: Preprint
Publicado: 2020
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Acceso en línea:https://arxiv.org/abs/2003.02620
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author Jonnadula, Bhargavi
Keating, Jonathan P.
Mezzadri, Francesco
author_facet Jonnadula, Bhargavi
Keating, Jonathan P.
Mezzadri, Francesco
contents Representation theory and the theory of symmetric functions have played a central role in Random Matrix Theory in the computation of quantities such as joint moments of traces and joint moments of characteristic polynomials of matrices drawn from the Circular Unitary Ensemble and other Circular Ensembles related to the classical compact groups. The reason is that they enable the derivation of exact formulae, which then provide a route to calculating the large-matrix asymptotics of these quantities. We develop a parallel theory for the Gaussian Unitary Ensemble of random matrices, and other related unitary invariant matrix ensembles. This allows us to write down exact formulae in these cases for the joint moments of the traces and the joint moments of the characteristic polynomials in terms of appropriately defined symmetric functions. As an example of an application, for the joint moments of the traces we derive explicit asymptotic formulae for the rate of convergence of the moments of polynomial functions of GUE matrices to those of a standard normal distribution when the matrix size tends to infinity.
format Preprint
id arxiv_https___arxiv_org_abs_2003_02620
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Symmetric Function Theory and Unitary Invariant Ensembles
Jonnadula, Bhargavi
Keating, Jonathan P.
Mezzadri, Francesco
Mathematical Physics
Representation theory and the theory of symmetric functions have played a central role in Random Matrix Theory in the computation of quantities such as joint moments of traces and joint moments of characteristic polynomials of matrices drawn from the Circular Unitary Ensemble and other Circular Ensembles related to the classical compact groups. The reason is that they enable the derivation of exact formulae, which then provide a route to calculating the large-matrix asymptotics of these quantities. We develop a parallel theory for the Gaussian Unitary Ensemble of random matrices, and other related unitary invariant matrix ensembles. This allows us to write down exact formulae in these cases for the joint moments of the traces and the joint moments of the characteristic polynomials in terms of appropriately defined symmetric functions. As an example of an application, for the joint moments of the traces we derive explicit asymptotic formulae for the rate of convergence of the moments of polynomial functions of GUE matrices to those of a standard normal distribution when the matrix size tends to infinity.
title Symmetric Function Theory and Unitary Invariant Ensembles
topic Mathematical Physics
url https://arxiv.org/abs/2003.02620