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A moderate deviation principle for 2-D stochastic Navier-Stokes equations driven by multiplicative Levy noises
Dong, Zhao; Xiong, Jie; Zhai, Jianliang; Zhang, Tusheng
2017-01
Source PublicationJOURNAL OF FUNCTIONAL ANALYSIS
ISSN0022-1236
Volume272Issue:1Pages:227-254
Abstract

In this paper, we establish a moderate deviation principle for two-dimensional stochastic Navier-Stokes equations driven by multiplicative Levy noises. The weak convergence method introduced by Budhiraja, Dupuis and Ganguly in [3] plays a key role. (C) 2016 Elsevier Inc. All rights reserved.

KeywordModerate Deviation Principles Stochastic Navier-stokes Equations Poisson Random Measures Tightness
DOI10.1016/j.jfa.2016.10.012
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectMathematics
WOS IDWOS:000388066000006
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
The Source to ArticleWOS
Scopus ID2-s2.0-84994759962
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Dong, Zhao,Xiong, Jie,Zhai, Jianliang,et al. A moderate deviation principle for 2-D stochastic Navier-Stokes equations driven by multiplicative Levy noises[J]. JOURNAL OF FUNCTIONAL ANALYSIS, 2017, 272(1), 227-254.
APA Dong, Zhao., Xiong, Jie., Zhai, Jianliang., & Zhang, Tusheng (2017). A moderate deviation principle for 2-D stochastic Navier-Stokes equations driven by multiplicative Levy noises. JOURNAL OF FUNCTIONAL ANALYSIS, 272(1), 227-254.
MLA Dong, Zhao,et al."A moderate deviation principle for 2-D stochastic Navier-Stokes equations driven by multiplicative Levy noises".JOURNAL OF FUNCTIONAL ANALYSIS 272.1(2017):227-254.
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