奇异退化抛物型随机偏微分方程的数值逼近

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED
L. Baňas, B. Gess, C. Vieth
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引用次数: 0

摘要

研究了一类广义的退化抛物型随机偏微分方程(SPDEs),主要包括随机多孔介质方程和随机快速扩散方程。我们提出了基于非常弱公式的考虑的spde的完全离散数值近似。利用所提公式的单调性,证明了数值逼近对唯一解的收敛性。此外,我们构建了一个可实现的非常弱公式空间离散化的有限元方案,并提供数值模拟来证明所提出的离散化的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical approximation of singular-degenerate parabolic stochastic partial differential equations
We study a general class of singular degenerate parabolic stochastic partial differential equations (SPDEs) that include, in particular, the stochastic porous medium equations and the stochastic fast diffusion equation. We propose a fully discrete numerical approximation of the considered SPDEs based on the very weak formulation. By exploiting the monotonicity properties of the proposed formulation we prove the convergence of the numerical approximation towards the unique solution. Furthermore, we construct an implementable finite element scheme for the spatial discretization of the very weak formulation and provide numerical simulations to demonstrate the practicability of the proposed discretization.
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来源期刊
IMA Journal of Numerical Analysis
IMA Journal of Numerical Analysis 数学-应用数学
CiteScore
5.30
自引率
4.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.
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