高斯场的临界点数:矩的有限性

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY Probability Theory and Related Fields Pub Date : 2024-04-02 DOI:10.1007/s00440-024-01273-5
Louis Gass, Michele Stecconi
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引用次数: 0

摘要

设 f 是 \(\mathbb {R}^d\) 上的高斯随机域,设 X 是 f 的临界点包含在紧凑子集中的个数。一个长期存在的猜想是,在 f 的温和正则性和非退化条件下,随机变量 X 具有有限矩。迄今为止,这一猜想只针对阶数小于三的矩。本文将证明这一猜想。确切地说,我们证明了只要在任何给定点上,f 的 p 阶泰勒多项式是非退化的,X 就具有 p 阶有限矩。我们提出了一种不局限于临界点的简单而通用的方法,并提供了各种应用。特别是,我们展示了一大类光滑或全形高斯场(包括巴格曼-福克集合)的节点体积矩和临界点数量的有限性。
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The number of critical points of a Gaussian field: finiteness of moments

Let f be a Gaussian random field on \(\mathbb {R}^d\) and let X be the number of critical points of f contained in a compact subset. A long-standing conjecture is that, under mild regularity and non-degeneracy conditions on f, the random variable X has finite moments. So far, this has been established only for moments of order lower than three. In this paper, we prove the conjecture. Precisely, we show that X has finite moment of order p, as soon as, at any given point, the Taylor polynomial of order p of f is non-degenerate. We present a simple and general approach that is not specific to critical points and we provide various applications. In particular, we show the finiteness of moments of the nodal volumes and the number of critical points of a large class of smooth, or holomorphic, Gaussian fields, including the Bargmann-Fock ensemble.

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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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