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Random periodic solutions of SPDEs via integral equations and Wiener-Sobolev compact embedding

机译:通过积分方程和Wiener-Sobolev紧凑嵌入的SPDE随机周期解

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In this paper, we study the existence of random periodic solutions for semilinear SPDEs on a bounded domain with a smooth boundary. We identify them as the solutions of coupled forward-backward infinite horizon stochastic integral equations on L ~2(D) in general cases. For this we use Mercer's Theorem and eigenvalues and eigenfunctions of the second order differential operators in the infinite horizon integral equations. We then use the argument of the relative compactness of Wiener-Sobolev spaces in C ~0([0, T], L ~2(Ω×D)) and generalized Schauder's fixed point theorem to prove the existence of a solution of the integral equations. This is the first paper in literature to study random periodic solutions of SPDEs. Our result is also new in finding semi-stable stationary solution for non-dissipative SPDEs, while in literature the classical method is to use the pull-back technique so researchers were only able to find stable stationary solutions for dissipative systems.
机译:在本文中,我们研究了具有光滑边界的有界域上半线性SPDE的随机周期解的存在性。在一般情况下,我们将它们确定为在L〜2(D)上耦合的向前-向后无限无限随机随机积分方程的解。为此,我们在无限地平线积分方程中使用了Mercer定理和二阶微分算子的特征值和特征函数。然后,我们使用C〜0([0,T],L〜2(Ω×D))中Wiener-Sobolev空间的相对紧致性的论据和广义Schauder不动点定理来证明积分解的存在性方程。这是研究SPDE随机周期解的第一篇文献。我们的结果也是发现非耗散SPDE的半稳定平稳解的新方法,而在文献中,经典方法是使用回拉技术,因此研究人员仅能找到耗散系统的稳定平稳解。

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