A moderate deviation principle for 2-D stochastic Navier-Stokes equations

By Zhao Dong, Jie-Yu Xiong, Jianliang Zhai, Tusheng Zhang. 2015

72 citations recorded by the source corpus.

In this paper, we prove a central limit theorem and establish a moderate deviation principle for twodimensional stochastic Navier–Stokes equations with multiplicative noise. The weak convergence method plays an important role.

Subfields: Applied Mathematics, Control and Systems Engineering, Finance

View Paper: https://www.semanticscholar.org/paper/818470c6f24ab4beaf6b5ec8223f8b54fed9193e

How researchers see this paper

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In Applied Mathematics

1. Jie-Yu Xiong
2. Jianliang Zhai
3. Zhao Dong
4. Tusheng Zhang
5. Wei Liu
6. Xicheng Zhang

In Control and Systems Engineering

1. Jie-Yu Xiong
2. Jianliang Zhai
3. Zhao Dong
4. Tusheng Zhang
5. El.zbieta Motyl

In Finance

1. Jianliang Zhai
2. Zhao Dong
3. Jie-Yu Xiong
4. Tusheng Zhang
5. Xicheng Zhang
6. Peter K. Friz
7. Wei Liu
8. Nicolas Victoir

Citations in the corpus

• A Moderate Deviation Principle for 2-D Stochastic Navier-Stokes Equations Driven by Multiplicative L\'evy Noises (2015, background): “Wang et al [22] considered a MDP for 2-”