Invariant measures for stochastic Burgers equation in unbounded domains with space-time white noise

Fuente: arXiv
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Autores principales: Liu, Zhenxin, Shi, Zhiyuan
Formato: Preprint
Publicado: 2024
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author Liu, Zhenxin
Shi, Zhiyuan
author_facet Liu, Zhenxin
Shi, Zhiyuan
contents In this paper, we investigate the stochastic damped Burgers equation with multiplicative space-time white noise defined on the entire real line. We prove the existence and uniqueness of a mild solution of the stochastic damped Burgers equation in the weighted space and establish that the solution is bounded in probability. Furthermore, by using the Krylov-Bogolioubov theorem, we obtain the existence of invariant measures.
format Preprint
id arxiv_https___arxiv_org_abs_2401_15349
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Invariant measures for stochastic Burgers equation in unbounded domains with space-time white noise
Liu, Zhenxin
Shi, Zhiyuan
Dynamical Systems
Probability
35Q35, 35R60, 60H15
In this paper, we investigate the stochastic damped Burgers equation with multiplicative space-time white noise defined on the entire real line. We prove the existence and uniqueness of a mild solution of the stochastic damped Burgers equation in the weighted space and establish that the solution is bounded in probability. Furthermore, by using the Krylov-Bogolioubov theorem, we obtain the existence of invariant measures.
title Invariant measures for stochastic Burgers equation in unbounded domains with space-time white noise
topic Dynamical Systems
Probability
35Q35, 35R60, 60H15
url https://arxiv.org/abs/2401.15349