CONTINUITY OF SOLUTIONS IN <inline-formula><tex-math id="M1">$ H^1( {\mathbb{R}}^N)\cap L^{p}( {\mathbb{R}}^N) $</tex-math></inline-formula> FOR STOCHASTIC REACTION-DIFFUSION EQUATIONS AND ITS APPLICATIONS TO PULLBACK ATTRACTOR

IF 1 4区 数学 Q3 MATHEMATICS, APPLIED Journal of Applied Analysis and Computation Pub Date : 2023-01-01 DOI:10.11948/20230009
Wenqiang Zhao, Zhi Li
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Abstract

In this paper, we consider the continuity of solutions for non-autonomous stochastic reaction-diffusion equation driven by additive noise over a Wiener probability space. It is proved that the solutions are strongly continuous in $ H^1( {\mathbb{R}}^N)\cap L^p( {\mathbb{R}}^N) $ with respect to the $ L^2 $-initial data and the samples in the double limit sense. As applications of the results on the continuity we obtain that the pullback random attractor for this equation is measurable, compact and attracting in the topology of the space $ H^1( {\mathbb{R}}^N)\cap L^p( {\mathbb{R}}^N) $ under a weak assumption on the forcing term and the noise coefficient. More precisely, the continuity of solutions in the initial data implies the asymptotic compactness of system and therefore the attraction of attractor, and the continuity in the samples indicates its measurability. The main technique employed here is the difference estimate method, by which an appropriate multiplier is carefully selected.
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$ H^1({\mathbb{R}}^N)\cap L^{p}({\mathbb{R}}^N) $</ text -math></inline-formula>随机反应扩散方程及其在回拉吸引子中的应用
本文研究了在Wiener概率空间上由加性噪声驱动的非自治随机反应扩散方程解的连续性。证明了在$ H^1({\mathbb{R}}^N)\cap L^p({\mathbb{R}}^N) $中,对于$ L^2 $-初始数据和双极限意义下的样本,解是强连续的。作为结果在连续性上的应用,我们得到了该方程的回拉随机吸引子在空间$ H^1({\mathbb{R}}^N)\cap L^p({\mathbb{R}}^N) $的拓扑上是可测量的、紧致的和吸引的,这是对强迫项和噪声系数的弱假设。更准确地说,初始数据中解的连续性意味着系统的渐近紧性,从而意味着吸引子的吸引性,而样本中的连续性表明系统的可测量性。这里采用的主要技术是差估计法,通过这种方法仔细选择合适的乘数。
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来源期刊
CiteScore
2.30
自引率
9.10%
发文量
45
期刊介绍: The Journal of Applied Analysis and Computation (JAAC) is aimed to publish original research papers and survey articles on the theory, scientific computation and application of nonlinear analysis, differential equations and dynamical systems including interdisciplinary research topics on dynamics of mathematical models arising from major areas of science and engineering. The journal is published quarterly in February, April, June, August, October and December by Shanghai Normal University and Wilmington Scientific Publisher, and issued by Shanghai Normal University.
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