Central limit theorem for the determinantal point process with the confluent hypergeometric kernel

Fuente: arXiv
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Autore principale: Gorbunov, Sergei M.
Natura: Preprint
Pubblicazione: 2025
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author Gorbunov, Sergei M.
author_facet Gorbunov, Sergei M.
contents We consider the convergence of additive functionals under the determinantal point process with the confluent hypergeometric kernel, corresponding to a sufficiently smooth function $f(x/R)$, as $R\to\infty$. We show that these functionals approach Gaussian distribution and give an estimate on the Kolmogorov-Smirnov distance. To obtain these results, we derive an exact identity for expectations of multiplicative functionals in terms of Fredholm determinants.
format Preprint
id arxiv_https___arxiv_org_abs_2505_16069
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Central limit theorem for the determinantal point process with the confluent hypergeometric kernel
Gorbunov, Sergei M.
Functional Analysis
Mathematical Physics
Probability
47B35 (Primary) 60G55 (Secondary)
We consider the convergence of additive functionals under the determinantal point process with the confluent hypergeometric kernel, corresponding to a sufficiently smooth function $f(x/R)$, as $R\to\infty$. We show that these functionals approach Gaussian distribution and give an estimate on the Kolmogorov-Smirnov distance. To obtain these results, we derive an exact identity for expectations of multiplicative functionals in terms of Fredholm determinants.
title Central limit theorem for the determinantal point process with the confluent hypergeometric kernel
topic Functional Analysis
Mathematical Physics
Probability
47B35 (Primary) 60G55 (Secondary)
url https://arxiv.org/abs/2505.16069