Pseudo almost periodicity for stochastic differential equations in infinite dimensions

Pub Date : 2023-04-10 DOI:10.58997/ejde.2023.34
Ye-Jun Chen, H. Ding
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Abstract

In this article, we introduce the concept of p-mean θ-pseudo almost periodic stochastic processes, which is slightly weaker than p-mean pseudo almost periodic stochastic processes. Using the operator semigroup theory and stochastic analysis theory, we obtain the existence and uniqueness of square-mean θ-pseudo almost periodic mild solutions for a semilinear stochastic differential equation in infinite dimensions. Moreover, we prove that the obtained solution is also pseudo almost periodic in path distribution. It is noteworthy that the ergodic part of the obtained solution is not only ergodic in square-mean but also ergodic in path distribution. Our main results are even new for the corresponding stochastic differential equations (SDEs) in finite dimensions.
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无限维随机微分方程的伪概周期性
在本文中,我们引入了p-meanθ-伪概周期随机过程的概念,它略弱于p-mean伪概周期的随机过程。利用算子半群理论和随机分析理论,我们得到了无穷维上一类双线性随机微分方程的平方均值θ-拟概周期温和解的存在性和唯一性。此外,我们还证明了所得到的解在路径分布中也是伪概周期的。值得注意的是,所得到的解的遍历部分不仅在平方均值上是遍历的,而且在路径分布上也是遍历的。我们的主要结果对于有限维中相应的随机微分方程(SDE)来说甚至是新的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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