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Large Deviations for Quasilinear Parabolic Stochastic Partial Differential Equations
Dong, Zhao1,2; Zhang, Rangrang3; Zhang, Tusheng4
2020-06-01
发表期刊POTENTIAL ANALYSIS
ISSN0926-2601
卷号53期号:1页码:183-202
摘要In this paper, we establish the Freidlin-Wentzell's large deviations for quasilinear parabolic stochastic partial differential equations with multiplicative noise, which are neither monotone nor locally monotone. The proof is based on the weak convergence approach.
关键词Freidlin-Wentzell's large deviations Quailinear stochastic partial differential equations Weak convergence approach
DOI10.1007/s11118-019-09763-1
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[11371041] ; National Natural Science Foundation of China[11671372] ; National Natural Science Foundation of China[11431014] ; National Natural Science Foundation of China[11401557] ; National Natural Science Foundation of China[11801032] ; Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences[2008DP173182] ; China Postdoctoral Science Foundation[2018M641204]
WOS研究方向Mathematics
WOS类目Mathematics
WOS记录号WOS:000544126700007
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/51760
专题应用数学研究所
通讯作者Zhang, Rangrang
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, RCSDS, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Beijing Inst Technol, Sch Math & Stat, Beijing 100081, Peoples R China
4.Univ Manchester, Sch Math, Oxford Rd, Manchester M13 9PL, Lancs, England
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Dong, Zhao,Zhang, Rangrang,Zhang, Tusheng. Large Deviations for Quasilinear Parabolic Stochastic Partial Differential Equations[J]. POTENTIAL ANALYSIS,2020,53(1):183-202.
APA Dong, Zhao,Zhang, Rangrang,&Zhang, Tusheng.(2020).Large Deviations for Quasilinear Parabolic Stochastic Partial Differential Equations.POTENTIAL ANALYSIS,53(1),183-202.
MLA Dong, Zhao,et al."Large Deviations for Quasilinear Parabolic Stochastic Partial Differential Equations".POTENTIAL ANALYSIS 53.1(2020):183-202.
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