STABILITY AND CONVERGENCE ANALYSIS OF A FULLY DISCRETE SEMI-IMPLICIT SCHEME FOR STOCHASTIC ALLEN-CAHN EQUATIONS WITH MULTIPLICATIVE NOISE

被引:2
|
作者
Huang, Can [1 ,2 ]
Shen, Jie [3 ,4 ]
机构
[1] Xiamen Univ, Sch Math Sci, Xiamen, Peoples R China
[2] Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performan, Xiamen, Peoples R China
[3] Eastern Inst Technol, Eastern Inst Adv Study, Ningbo 315200, Zhejiang, Peoples R China
[4] Purdue Univ, Dept Math, W Lafayette, IN USA
基金
中国国家自然科学基金;
关键词
Stochastic PDE; spectral method; optimal; convergence rate; FINITE-ELEMENT METHODS; APPROXIMATION; DISCRETIZATION; RATES; SPDES; SDES;
D O I
10.1090/mcom/3846
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
. We consider a fully discrete scheme for stochastic Allen-Cahn equation in a multi-dimensional setting. Our method uses a polynomial based spectral method in space, so it does not require the elliptic operator A and the covariance operator Q of noise in the equation commute, and thus successfully alleviates a restriction of Fourier spectral method for stochastic partial differential equations pointed out by Jentzen, Kloeden and Winkel [Ann. Appl. Probab. 21 (2011), pp. 908-950]. The discretization in time is a tamed semi-implicit scheme which treats the nonlinear term explicitly while being unconditionally stable. Under regular assumptions which are usually made for SPDEs, we establish strong convergence rates in the one spatial dimension for our fully discrete scheme. We also present numerical experiments which are consistent with our theoretical results.
引用
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页码:2685 / 2713
页数:29
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