Nonstandard Large and Moderate Deviations for the Laguerre Ensemble

In this paper, we show limit theorems for the weighted spectral measure of the Laguerre ensemble under a nonstandard scaling, when the parameter grows faster than the matrix size. For this parameter scaling, the limit behavior is similar to the case of the Gaussian ensemble. We show a large deviation principle, moderate deviations and a CLT for the spectral measure. For the moderate deviations and the CLT, we observe a particular dependence on the rate of the parameter and a corrective shift by a signed measure. The proofs are based on the tridiagonal representation of the Laguerre ensemble.

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Publication Details

Journal
Random Matrices Theory and Application
Published
2026-06-19
DOI
https://doi.org/10.1142/s2010326326500103
Primary Topic
Geometric Analysis and Curvature Flows
Type
preprint
Field-Weighted Citation Impact
0.00
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preprint

Nonstandard Large and Moderate Deviations for the Laguerre Ensemble

Jan Nagel, Helene Götz
Random Matrices Theory and Application
Geometric Analysis and Curvature Flows
preprint

Nonstandard Large and Moderate Deviations for the Laguerre Ensemble

Jan Nagel, Helene Götz
preprint en

Abstract

In this paper, we show limit theorems for the weighted spectral measure of the Laguerre ensemble under a nonstandard scaling, when the parameter grows faster than the matrix size. For this parameter scaling, the limit behavior is similar to the case of the Gaussian ensemble. We show a large deviation principle, moderate deviations and a CLT for the spectral measure. For the moderate deviations and the CLT, we observe a particular dependence on the rate of the parameter and a corrective shift by a signed measure. The proofs are based on the tridiagonal representation of the Laguerre ensemble.

Random Matrices Theory and Application
Twitter (United States) (US)
Openalex Percentile: Top 98%
Geometric Analysis and Curvature Flows
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