The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations
Wu, Yue and Yuan, Chenggui (2021) The Galerkin analysis for the random periodic solution of semilinear stochastic evolution equations. Other. arXiv.org, Ithaca, New York.
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Abstract
In this paper we study the numerical method for approximating the random periodic solution of semiliear stochastic evolution equations. The main challenge lies in proving a convergence over an infinite time horizon while simulating infinite-dimensional objects. We first show the existence and uniqueness of the random periodic solution to the equation as the limit of the pull-back flows of the equation, and observe that its mild form is well-defined in the intersection of a family of decreasing Hilbert spaces. Then we propose a Galerkin-type exponential integrator scheme and establish its convergence rate of the strong error to the mild solution, where the order of convergence directly depends on the space (among the family of Hilbert spaces) for the initial point to live. We finally conclude with a best order of convergence that is arbitrarily close to 0.5.
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Item type: Monograph(Other) ID code: 79506 Dates: DateEvent28 November 2021PublishedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 08 Feb 2022 13:51 Last modified: 07 Sep 2024 00:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/79506