Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids
Abstract
In this paper, we establish a large deviation principle for stochastic models of incompressible second grade fluids. The weak convergence method introduced by Budhiraja and Dupuis (Probab Math Statist 20:39–61, 2000) plays an important role.
- Authors:
-
- University of Science and Technology of China, School of Mathematical Sciences (China)
- University of Manchester, School of Mathematics (United Kingdom)
- Publication Date:
- OSTI Identifier:
- 22617042
- Resource Type:
- Journal Article
- Journal Name:
- Applied Mathematics and Optimization
- Additional Journal Information:
- Journal Volume: 75; Journal Issue: 3; Other Information: Copyright (c) 2017 Springer Science+Business Media New York; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0095-4616
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CONVERGENCE; FLUIDS; STOCHASTIC PROCESSES; TWO-DIMENSIONAL CALCULATIONS; TWO-DIMENSIONAL SYSTEMS
Citation Formats
Zhai, Jianliang, and Zhang, Tusheng. Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids. United States: N. p., 2017.
Web. doi:10.1007/S00245-016-9338-4.
Zhai, Jianliang, & Zhang, Tusheng. Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids. United States. https://doi.org/10.1007/S00245-016-9338-4
Zhai, Jianliang, and Zhang, Tusheng. 2017.
"Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids". United States. https://doi.org/10.1007/S00245-016-9338-4.
@article{osti_22617042,
title = {Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids},
author = {Zhai, Jianliang and Zhang, Tusheng},
abstractNote = {In this paper, we establish a large deviation principle for stochastic models of incompressible second grade fluids. The weak convergence method introduced by Budhiraja and Dupuis (Probab Math Statist 20:39–61, 2000) plays an important role.},
doi = {10.1007/S00245-016-9338-4},
url = {https://www.osti.gov/biblio/22617042},
journal = {Applied Mathematics and Optimization},
issn = {0095-4616},
number = 3,
volume = 75,
place = {United States},
year = {Thu Jun 15 00:00:00 EDT 2017},
month = {Thu Jun 15 00:00:00 EDT 2017}
}
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