Asymptotic Expansions of Gaussian and Laguerre Ensembles at the Soft Edge III: Generating Functions

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Main Author: Bornemann, Folkmar
Format: Preprint
Published: 2025
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_version_ 1866916013460684800
author Bornemann, Folkmar
author_facet Bornemann, Folkmar
contents We conclude our work [arXiv:2403.07628, arXiv:2503.12644] on asymptotic expansions at the soft edge for the classical $n$-dimensional Gaussian and Laguerre ensembles, now studying the gap-probability generating functions. We show that the correction terms in the asymptotic expansion are multilinear forms of the higher-order derivatives of the leading-order term, with certain rational polynomial coefficients that are independent of the dummy generating function variable. In this way, the same multilinear structure, with the same polynomial coefficients, is inherited by the asymptotic expansion of any linearly induced quantity such as the distribution of the $k$-th largest level. Whereas the results for the unitary ensembles are presented with proof, the discussion of the orthogonal and symplectic ones is based on some hypotheses. To substantiate the hypotheses, we check the result for the $k$-th largest level in the orthogonal ensembles against simulation data for choices of $n$ and $k$ that require as many as four correction terms to achieve satisfactory accuracy.
format Preprint
id arxiv_https___arxiv_org_abs_2506_18673
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic Expansions of Gaussian and Laguerre Ensembles at the Soft Edge III: Generating Functions
Bornemann, Folkmar
Probability
Mathematical Physics
Statistics Theory
60B20, 15B52, 62E20, 41A60, 33E17
We conclude our work [arXiv:2403.07628, arXiv:2503.12644] on asymptotic expansions at the soft edge for the classical $n$-dimensional Gaussian and Laguerre ensembles, now studying the gap-probability generating functions. We show that the correction terms in the asymptotic expansion are multilinear forms of the higher-order derivatives of the leading-order term, with certain rational polynomial coefficients that are independent of the dummy generating function variable. In this way, the same multilinear structure, with the same polynomial coefficients, is inherited by the asymptotic expansion of any linearly induced quantity such as the distribution of the $k$-th largest level. Whereas the results for the unitary ensembles are presented with proof, the discussion of the orthogonal and symplectic ones is based on some hypotheses. To substantiate the hypotheses, we check the result for the $k$-th largest level in the orthogonal ensembles against simulation data for choices of $n$ and $k$ that require as many as four correction terms to achieve satisfactory accuracy.
title Asymptotic Expansions of Gaussian and Laguerre Ensembles at the Soft Edge III: Generating Functions
topic Probability
Mathematical Physics
Statistics Theory
60B20, 15B52, 62E20, 41A60, 33E17
url https://arxiv.org/abs/2506.18673