Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains
This paper is devoted to a stochastic retarded reaction-diffusion equation on all d-dimensional space with additive white noise. We first show that the stochastic retarded reaction-diffusion equation generates a random dynamical system by transforming this stochastic equation into a random one throu...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/981576 |
id |
doaj-27edd090cff743e18bc2e843e9936cbc |
---|---|
record_format |
Article |
spelling |
doaj-27edd090cff743e18bc2e843e9936cbc2020-11-25T00:14:07ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/981576981576Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded DomainsXiaoquan Ding0Jifa Jiang1School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, Henan 471023, ChinaSchool of Mathematics and Science, Shanghai Normal University, Shanghai 200234, ChinaThis paper is devoted to a stochastic retarded reaction-diffusion equation on all d-dimensional space with additive white noise. We first show that the stochastic retarded reaction-diffusion equation generates a random dynamical system by transforming this stochastic equation into a random one through a tempered stationary random homeomorphism. Then, we establish the existence of a random attractor for the random equation. And the existence of a random attractor for the stochastic equation follows from the conjugation relation between two random dynamical systems. The pullback asymptotic compactness is proved by uniform estimates on solutions for large space and time variables. These estimates are obtained by a cut-off technique.http://dx.doi.org/10.1155/2013/981576 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaoquan Ding Jifa Jiang |
spellingShingle |
Xiaoquan Ding Jifa Jiang Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains Abstract and Applied Analysis |
author_facet |
Xiaoquan Ding Jifa Jiang |
author_sort |
Xiaoquan Ding |
title |
Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains |
title_short |
Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains |
title_full |
Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains |
title_fullStr |
Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains |
title_full_unstemmed |
Random Attractors for Stochastic Retarded Reaction-Diffusion Equations on Unbounded Domains |
title_sort |
random attractors for stochastic retarded reaction-diffusion equations on unbounded domains |
publisher |
Hindawi Limited |
series |
Abstract and Applied Analysis |
issn |
1085-3375 1687-0409 |
publishDate |
2013-01-01 |
description |
This paper is devoted to a stochastic retarded reaction-diffusion equation on all d-dimensional space with additive white noise. We first show that the stochastic retarded reaction-diffusion equation generates a random dynamical system by transforming this stochastic equation into a random one through a tempered stationary random homeomorphism. Then, we establish the existence of a random attractor for the random equation. And the existence of a random attractor for the stochastic equation follows from the conjugation relation between two random dynamical systems. The pullback asymptotic compactness is proved by uniform estimates on solutions for large space and time variables. These estimates are obtained by a cut-off technique. |
url |
http://dx.doi.org/10.1155/2013/981576 |
work_keys_str_mv |
AT xiaoquanding randomattractorsforstochasticretardedreactiondiffusionequationsonunboundeddomains AT jifajiang randomattractorsforstochasticretardedreactiondiffusionequationsonunboundeddomains |
_version_ |
1725391497070641152 |