Spectral representation of correlation functions for zeros of Gaussian power series with stationary coefficients

Fuente: arXiv
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1. Verfasser: Shirai, Tomoyuki
Format: Preprint
Veröffentlicht: 2025
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author Shirai, Tomoyuki
author_facet Shirai, Tomoyuki
contents We analyze Gaussian analytic functions (GAFs) defined as power series with coefficients modeled by discrete stationary Gaussian processes, utilizing their spectral measures. We revisit some limit theorems for random analytic functions and examine some examples of GAFs through numerical computations. Furthermore, we provide an integral representation of the n-point correlation functions of the zero sets of GAFs in terms of the spectral measures of the underlying coefficient Gaussian processes.
format Preprint
id arxiv_https___arxiv_org_abs_2501_03704
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Spectral representation of correlation functions for zeros of Gaussian power series with stationary coefficients
Shirai, Tomoyuki
Probability
Complex Variables
30B20, 30C15, 60G15, 60G55
We analyze Gaussian analytic functions (GAFs) defined as power series with coefficients modeled by discrete stationary Gaussian processes, utilizing their spectral measures. We revisit some limit theorems for random analytic functions and examine some examples of GAFs through numerical computations. Furthermore, we provide an integral representation of the n-point correlation functions of the zero sets of GAFs in terms of the spectral measures of the underlying coefficient Gaussian processes.
title Spectral representation of correlation functions for zeros of Gaussian power series with stationary coefficients
topic Probability
Complex Variables
30B20, 30C15, 60G15, 60G55
url https://arxiv.org/abs/2501.03704