Convergence of a spatial semidiscretization for a three-dimensional stochastic Allen-Cahn equation with multiplicative noise

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Hauptverfasser: Zhou, Qin, Li, Binjie
Format: Preprint
Veröffentlicht: 2024
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author Zhou, Qin
Li, Binjie
author_facet Zhou, Qin
Li, Binjie
contents This paper studies the convergence of a spatial semidiscretization of a three-dimensional stochastic Allen-Cahn equation with multiplicative noise. For non-smooth initial data, the regularity of the mild solution is investigated, and an error estimate is derived within the spatial (L^2)-norm setting. In the case of smooth initial data, two error estimates are established within the framework of general spatial (L^q)-norms.
format Preprint
id arxiv_https___arxiv_org_abs_2401_09834
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Convergence of a spatial semidiscretization for a three-dimensional stochastic Allen-Cahn equation with multiplicative noise
Zhou, Qin
Li, Binjie
Numerical Analysis
Probability
65M60, 60H15, 60H35
This paper studies the convergence of a spatial semidiscretization of a three-dimensional stochastic Allen-Cahn equation with multiplicative noise. For non-smooth initial data, the regularity of the mild solution is investigated, and an error estimate is derived within the spatial (L^2)-norm setting. In the case of smooth initial data, two error estimates are established within the framework of general spatial (L^q)-norms.
title Convergence of a spatial semidiscretization for a three-dimensional stochastic Allen-Cahn equation with multiplicative noise
topic Numerical Analysis
Probability
65M60, 60H15, 60H35
url https://arxiv.org/abs/2401.09834