scispace - formally typeset
W

Wei Wang

Researcher at Nanjing University

Publications -  18
Citations -  489

Wei Wang is an academic researcher from Nanjing University. The author has contributed to research in topics: Stochastic partial differential equation & Stochastic differential equation. The author has an hindex of 8, co-authored 18 publications receiving 391 citations. Previous affiliations of Wei Wang include University of Adelaide.

Papers
More filters
Journal ArticleDOI

Average and deviation for slow-fast stochastic partial differential equations

Wei Wang, +2 more
- 01 Sep 2012 - 
TL;DR: In this paper, the authors derived an averaged equation for a class of stochastic partial differential equations without any Lipschitz assumption on the slow modes and derived the rate of convergence in probability as a byproduct.
Book

Effective Dynamics of Stochastic Partial Differential Equations

Jinqiao Duan, +1 more
TL;DR: In this paper, the authors provide an accessible introduction to probability tools in Hilbert space and basics of stochastic partial differential equations, as well as exercises and problems to enhance comprehension.
Journal ArticleDOI

Limiting dynamics for stochastic wave equations

Yan Lv, +1 more
- 01 Jan 2008 - 
TL;DR: In this paper, the asymptotic behavior for a stochastic wave equation and a heat equation is investigated. And the authors show that the stationary solutions of the two problems converge in probability to some stationary solution of the heat equation.
Journal ArticleDOI

Large deviations and approximations for slow–fast stochastic reaction–diffusion equations

Wei Wang, +4 more
- 15 Dec 2012 - 
TL;DR: In this article, a large deviation principle is derived for a class of stochastic reaction-diffusion PDEs with slow-fast components, and the rate function is exactly that of the averaged equation plus the fluctuating deviation.
Journal ArticleDOI

Slow manifold and averaging for slow–fast stochastic differential system

Wei Wang, +2 more
- 15 Feb 2013 - 
TL;DR: In this article, an intermediate reduced model for stochastic dynamical systems with multiple time scales was obtained and explored for a slow-fast system when the fast mode is driven by white noise.