Dynamics and Wong-Zakai approximations of stochastic nonlocal PDEs with long time memory

Fuente: arXiv
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Main Authors: Xu, Jiaohui, Caraballo, Tomás, Valero, José
Format: Preprint
Published: 2025
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author Xu, Jiaohui
Caraballo, Tomás
Valero, José
author_facet Xu, Jiaohui
Caraballo, Tomás
Valero, José
contents In this paper, a combination of Galerkin's method and Dafermos' transformation is first used to prove the existence and uniqueness of solutions for a class of stochastic nonlocal PDEs with long time memory driven by additive noise. Next, the existence of tempered random attractors for such equations is established in an appropriate space for the analysis of problems with delay and memory. Eventually, the convergence of solutions of Wong-Zakai approximations and upper semicontinuity of random attractors of the approximate random system, as the step sizes of approximations approach zero, are analyzed in a detailed way.
format Preprint
id arxiv_https___arxiv_org_abs_2501_05305
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dynamics and Wong-Zakai approximations of stochastic nonlocal PDEs with long time memory
Xu, Jiaohui
Caraballo, Tomás
Valero, José
Dynamical Systems
Probability
In this paper, a combination of Galerkin's method and Dafermos' transformation is first used to prove the existence and uniqueness of solutions for a class of stochastic nonlocal PDEs with long time memory driven by additive noise. Next, the existence of tempered random attractors for such equations is established in an appropriate space for the analysis of problems with delay and memory. Eventually, the convergence of solutions of Wong-Zakai approximations and upper semicontinuity of random attractors of the approximate random system, as the step sizes of approximations approach zero, are analyzed in a detailed way.
title Dynamics and Wong-Zakai approximations of stochastic nonlocal PDEs with long time memory
topic Dynamical Systems
Probability
url https://arxiv.org/abs/2501.05305