Saved in:
Bibliographic Details
Main Author: Novikov, Svyatoslav
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.22760
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917520590503936
author Novikov, Svyatoslav
author_facet Novikov, Svyatoslav
contents We study the high excursion probability of a centered Gaussian field on a square. Writing \(σ\) and \(r\) for its standard deviation and correlation function, we assume that \(σ\) has a unique maximum at the corner \(\boldsymbol{0}=(0,0)\) and \[ 1-σ(\boldsymbol{t}) \sim t_1^β+t_2^β+t_1^a t_2^a , \qquad \boldsymbol{t}=(t_1,t_2)\to\boldsymbol{0} \] in \(\mathbb R_+^2\). The local correlation is assumed to satisfy \[ 1-r(\boldsymbol{t},\boldsymbol{s})\sim |t_1-s_1|^α+|t_2-s_2|^α, \qquad 0<α<β. \] This product form of the standard-deviation loss is not covered by the usual locally additive assumptions. In the range \(a<β/2\), the classical essential rectangle at the variance-loss scale no longer captures the leading contribution; the relevant localization becomes side-attached and, in one regime, effectively one-dimensional. We determine the corresponding high-level asymptotics, including the logarithmic and side-dominated regimes which do not arise in the locally additive case.
format Preprint
id arxiv_https___arxiv_org_abs_2605_22760
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Extremes of Gaussian fields with a product term in the variance
Novikov, Svyatoslav
Probability
We study the high excursion probability of a centered Gaussian field on a square. Writing \(σ\) and \(r\) for its standard deviation and correlation function, we assume that \(σ\) has a unique maximum at the corner \(\boldsymbol{0}=(0,0)\) and \[ 1-σ(\boldsymbol{t}) \sim t_1^β+t_2^β+t_1^a t_2^a , \qquad \boldsymbol{t}=(t_1,t_2)\to\boldsymbol{0} \] in \(\mathbb R_+^2\). The local correlation is assumed to satisfy \[ 1-r(\boldsymbol{t},\boldsymbol{s})\sim |t_1-s_1|^α+|t_2-s_2|^α, \qquad 0<α<β. \] This product form of the standard-deviation loss is not covered by the usual locally additive assumptions. In the range \(a<β/2\), the classical essential rectangle at the variance-loss scale no longer captures the leading contribution; the relevant localization becomes side-attached and, in one regime, effectively one-dimensional. We determine the corresponding high-level asymptotics, including the logarithmic and side-dominated regimes which do not arise in the locally additive case.
title Extremes of Gaussian fields with a product term in the variance
topic Probability
url https://arxiv.org/abs/2605.22760