Analysis of a positivity-preserving splitting scheme for some semilinear stochastic heat equations

Charles-Édouard Bréhier, David Cohen, Johan Ulander
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Abstract

We construct a positivity-preserving Lie--Trotter splitting scheme with finite difference discretization in space for approximating the solutions to a class of semilinear stochastic heat equations with multiplicative space-time white noise. We prove that this explicit numerical scheme converges in the mean-square sense, with rate $1/4$ in time and rate $1/2$ in space, under appropriate CFL conditions. Numerical experiments illustrate the superiority of the proposed numerical scheme compared with standard numerical methods which do not preserve positivity. p, li { white-space: pre-wrap; }
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一些半线性随机热方程的保正分裂方案分析
我们利用空间有限差分离散法构建了一个保正的 Lie-Trotter 分裂方案,用于逼近一类具有乘法时空白噪声的半线性随机热方程的解。我们证明,在适当的 CFL 条件下,这种显式数值方案在均方意义上收敛,时间收敛速率为 1/4$,空间收敛速率为 1/2$。数值实验表明,与不保留正向性的标准数值方法相比,所提出的数值方案更具优越性。
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