Analyzing the continuity of the mild solution in finite element analysis of semilinear stochastic subdiffusion problems
Fang Cheng,
Ye Hu,
Mati ur Rahman
Abstract:<abstract><p>This paper aimed to further introduce the finite element analysis of non-smooth data for semilinear stochastic subdiffusion problems driven by fractionally integrated additive noise. The mild solution of this stochastic model consisted of three different Mittag-Leffler functions. We analyzed the smoothness of the solution and utilized complex integration to approximate the error of the solution operator under non-smooth data. Consequently, optimal convergence estimates were obtained, a… Show more
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