Group character averages via a single Laguerre

Abstract Average of exponential TrReX, i.e. of a group rather than an algebra character, in Gaussian matrix model is known to be an amusing generalization of Schur polynomial, where time variables are substituted by traces of products of non-commuting matrices ${\rm Tr} \left(\prod _i A_{k_i}\right)$ and are thus labeled by weak compositions. The entries of matrices Ak are made from extended Laguerre polynomials, what introduces additional difficulties. We describe the generic sum rules, which express arbitrary traces through convolutions of a single Laguerre polynomial $L_{N-1}^1(z_{k_i})$, what is a considerable simplification.

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Publication Details

Journal
Progress of Theoretical and Experimental Physics
Published
2026-04-14
DOI
https://doi.org/10.1093/ptep/ptag066
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
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article

Group character averages via a single Laguerre

Kazumi Okuyama, Alexei Morozov
Progress of Theoretical and Experimental Physics
Random Matrices and Applications
article

Group character averages via a single Laguerre

Kazumi Okuyama, Alexei Morozov
article en

Abstract

Abstract Average of exponential TrReX, i.e. of a group rather than an algebra character, in Gaussian matrix model is known to be an amusing generalization of Schur polynomial, where time variables are substituted by traces of products of non-commuting matrices ${\rm Tr} \left(\prod _i A_{k_i}\right)$ and are thus labeled by weak compositions. The entries of matrices Ak are made from extended Laguerre polynomials, what introduces additional difficulties. We describe the generic sum rules, which express arbitrary traces through convolutions of a single Laguerre polynomial $L_{N-1}^1(z_{k_i})$, what is a considerable simplification.

Progress of Theoretical and Experimental Physics
Institute on Taxation and Economic Policy (US), Shinshu University (JP), Moscow Institute of Physics and Technology (RU), Kurchatov Institute (RU), Institute for Information Transmission Problems (RU), Shinshu University Hospital (JP)
Openalex Percentile: Top 11%
Random Matrices and Applications
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