Status | 已发表Published |
Title | Large deviation principles for first-order scalar conservation laws with stochastic forcing |
Creator | |
Date Issued | 2020-02-01 |
Source Publication | Annals of Applied Probability
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ISSN | 1050-5164 |
Volume | 30Issue:1Pages:324-367 |
Abstract | In this paper, we established the Freidlin-Wentzell-type large deviation principles for first-order scalar conservation laws perturbed by small multiplicative noise. Due to the lack of the viscous terms in the stochastic equations, the kinetic solution to the Cauchy problem for these first-order conservation laws is studied. Then, based on the well-posedness of the kinetic solutions, we show that the large deviations holds by utilising the weak convergence approach. |
Keyword | First-order conservation laws Kinetic solution Large deviations Weak convergence approach |
DOI | 10.1214/19-AAP1503 |
URL | View source |
Indexed By | SCIE |
Language | 英语English |
WOS Research Area | Mathematics |
WOS Subject | Statistics & Probability |
WOS ID | WOS:000517756200009 |
Scopus ID | 2-s2.0-85087551861 |
Citation statistics | |
Document Type | Journal article |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/10494 |
Collection | Research outside affiliated institution |
Affiliation | 1.RCSDS,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,China 2.Department of Mathematics,Swansea University,United Kingdom 3.School of Mathematics and Statistics,Beijing Institute of Technology,China 4.School of Mathematics,University of Manchester,United Kingdom |
Recommended Citation GB/T 7714 | Dong, Zhao,Wu, Jianglun,Zhang, Rangranget al. Large deviation principles for first-order scalar conservation laws with stochastic forcing[J]. Annals of Applied Probability, 2020, 30(1): 324-367. |
APA | Dong, Zhao, Wu, Jianglun, Zhang, Rangrang, & Zhang, Tusheng. (2020). Large deviation principles for first-order scalar conservation laws with stochastic forcing. Annals of Applied Probability, 30(1), 324-367. |
MLA | Dong, Zhao,et al."Large deviation principles for first-order scalar conservation laws with stochastic forcing". Annals of Applied Probability 30.1(2020): 324-367. |
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