Time-dependency in hyperbolic Anderson model: Stratonovich regime

Fuente: arXiv
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1. Verfasser: Chen, Xia
Format: Preprint
Veröffentlicht: 2025
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author Chen, Xia
author_facet Chen, Xia
contents In this paper, the hyperbolic Anderson equation generated by a time-dependent Gaussian noise is under investigation in two fronts: The solvability and large-$t$ asymptotics. The investigation leads to a necessary and sufficient condition for existence and a precise large-$t$ limit form for the expectation of the solution. Three major developments are made for achieving these goals: A universal bound for Stratonovich moment that guarantees the Stratonovich integrability and ${\cal L}^2$-convergence of the Stratonovich chaos expansion under the best possible condition, a representation of the expected Stratonovich moments in terms of a time-randomized Brownian intersection local time, and a large deviation principle for the time-randomized Brownian intersection local time.
format Preprint
id arxiv_https___arxiv_org_abs_2510_01412
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Time-dependency in hyperbolic Anderson model: Stratonovich regime
Chen, Xia
Probability
In this paper, the hyperbolic Anderson equation generated by a time-dependent Gaussian noise is under investigation in two fronts: The solvability and large-$t$ asymptotics. The investigation leads to a necessary and sufficient condition for existence and a precise large-$t$ limit form for the expectation of the solution. Three major developments are made for achieving these goals: A universal bound for Stratonovich moment that guarantees the Stratonovich integrability and ${\cal L}^2$-convergence of the Stratonovich chaos expansion under the best possible condition, a representation of the expected Stratonovich moments in terms of a time-randomized Brownian intersection local time, and a large deviation principle for the time-randomized Brownian intersection local time.
title Time-dependency in hyperbolic Anderson model: Stratonovich regime
topic Probability
url https://arxiv.org/abs/2510.01412