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STRONG CONVERGENCE OF FULL DISCRETIZATION FOR STOCHASTIC CAHN-HILLIARD EQUATION DRIVEN BY ADDITIVE NOISE
Cui, Jianbo1,2; Hong, Jialin3,4; Sun, Liying3,4
2021
Source PublicationSIAM JOURNAL ON NUMERICAL ANALYSIS
ISSN0036-1429
Volume59Issue:6Pages:2866-2899
AbstractIn this article, we consider the stochastic Cahn-Hilliard equation driven by additive noise. We discretize the equation by exploiting the spectral Galerkin method in space and a temporal accelerated implicit Euler method. Based on optimal regularity estimates of both exact and numerical solutions, we prove that the proposed numerical method is strongly convergent with a sharp convergence rate in a negative Sobolev space. Utilizing the semigroup theory and interpolation inequality, we deduce the spatial optimal convergence rate and the temporal superconvergence rate of the proposed numerical method in the strong sense.
Keywordstochastic Cahn-Hilliard equation spectral Galerkin method accelarated implicit Euler method strong convergence rate
DOI10.1137/20M1382131
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11971470] ; National Natural Science Foundation of China[11871068] ; National Natural Science Foundation of China[12031020] ; National Natural Science Foundation of China[12022118] ; Hong Kong Polytechnic University ; CAS AMSSPolyU Joint Laboratory of Applied Mathematics
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000748784400004
PublisherSIAM PUBLICATIONS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59909
Collection中国科学院数学与系统科学研究院
Corresponding AuthorSun, Liying
Affiliation1.Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
2.Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Cui, Jianbo,Hong, Jialin,Sun, Liying. STRONG CONVERGENCE OF FULL DISCRETIZATION FOR STOCHASTIC CAHN-HILLIARD EQUATION DRIVEN BY ADDITIVE NOISE[J]. SIAM JOURNAL ON NUMERICAL ANALYSIS,2021,59(6):2866-2899.
APA Cui, Jianbo,Hong, Jialin,&Sun, Liying.(2021).STRONG CONVERGENCE OF FULL DISCRETIZATION FOR STOCHASTIC CAHN-HILLIARD EQUATION DRIVEN BY ADDITIVE NOISE.SIAM JOURNAL ON NUMERICAL ANALYSIS,59(6),2866-2899.
MLA Cui, Jianbo,et al."STRONG CONVERGENCE OF FULL DISCRETIZATION FOR STOCHASTIC CAHN-HILLIARD EQUATION DRIVEN BY ADDITIVE NOISE".SIAM JOURNAL ON NUMERICAL ANALYSIS 59.6(2021):2866-2899.
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