Large Deviations for Stochastic Models of Two-Dimensional Second Grade Fluids

Journal Article · Thu Jun 15 00:00:00 EDT 2017 · Applied Mathematics and Optimization

DOI:https://doi.org/10.1007/S00245-016-9338-4· OSTI ID:22617042

Zhai, Jianliang ^[1]; Zhang, Tusheng ^[2]

---

1. University of Science and Technology of China, School of Mathematical Sciences (China)
2. University of Manchester, School of Mathematics (United Kingdom)

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.

• OSTI ID: 22617042
• Journal Information: Applied Mathematics and Optimization, Vol. 75, 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); ISSN 0095-4616
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
CONVERGENCE
FLUIDS
STOCHASTIC PROCESSES
TWO-DIMENSIONAL CALCULATIONS
TWO-DIMENSIONAL SYSTEMS