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Auteurs principaux: Hu, Wenjie, TomásCaraballo, Duan, Yueliang
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2402.11876
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author Hu, Wenjie
TomásCaraballo
Duan, Yueliang
author_facet Hu, Wenjie
TomásCaraballo
Duan, Yueliang
contents The main purpose of this paper is to give an upper bound of Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces. The estimation of dimensions of random attractors are obtained by combining the squeezing property and a covering lemma of finite subspace of Banach spaces, which generalizes the method established in Hilbert spaces. Unlike the existing works, where orthogonal projectors with finite ranks applied for proving the squeezing property of stochastic partial differential equations in Hilbert spaces, we adopt the state decomposition of phase space based on the exponential dichotomy of the the linear deterministic part of the studied SDPE to obtain similar squeezing property due to the lack of smooth inner product geometry structure. The obtained dimension of the random attractors depend only on the spectrum of the linear part and the random Lipschitz constant of the nonlinear term, while not relating to the compact embedding of the phase space to another Banach space as the existing works did.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11876
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces
Hu, Wenjie
TomásCaraballo
Duan, Yueliang
Analysis of PDEs
The main purpose of this paper is to give an upper bound of Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces. The estimation of dimensions of random attractors are obtained by combining the squeezing property and a covering lemma of finite subspace of Banach spaces, which generalizes the method established in Hilbert spaces. Unlike the existing works, where orthogonal projectors with finite ranks applied for proving the squeezing property of stochastic partial differential equations in Hilbert spaces, we adopt the state decomposition of phase space based on the exponential dichotomy of the the linear deterministic part of the studied SDPE to obtain similar squeezing property due to the lack of smooth inner product geometry structure. The obtained dimension of the random attractors depend only on the spectrum of the linear part and the random Lipschitz constant of the nonlinear term, while not relating to the compact embedding of the phase space to another Banach space as the existing works did.
title Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces
topic Analysis of PDEs
url https://arxiv.org/abs/2402.11876