随机泛函微分演化方程的渐近性质

Pub Date : 2023-04-12 DOI:10.58997/ejde.2023.35
Jason Clark, Oleksandr Misiats, V. Mogylova, Oleksandr Stanzhytskyi
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引用次数: 2

摘要

本文研究了Hilbert空间中非线性随机泛函微分方程的长时间行为。特别是,我们从确定温和解的存在性和唯一性开始。我们继续推导适当希尔伯特空间中解的时间界上的先验一致性。这些边界使我们能够基于关于测度族的紧性的Krylov-Bogoliubov定理来建立不变测度的存在性。最后,在一定的非线性假设下,我们建立了不变测度的唯一性。
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Asymptotic behavior of stochastic functional differential evolution equation
In this work we study the long time behavior of nonlinear stochastic functional-differential equations in Hilbert spaces. In particular, we start with establishing the existence and uniqueness of mild solutions. We proceed with deriving a priory uniform in time bounds for the solutions in the appropriate Hilbert spaces. These bounds enable us to establish the existence of invariant measure based on Krylov-Bogoliubov theorem on the tightness of the family of measures. Finally, under certain assumptions on nonlinearities, we establish the uniqueness of invariant measures.
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