Geometric shape of invariant manifolds for a class of stochastic partial differential equations
Analysis of PDEs
2015-05-19 v1 Dynamical Systems
Abstract
Invariant manifolds play an important role in the study of the qualitative dynamical behaviors for nonlinear stochastic partial differential equations. However, the geometric shape of these manifolds is largely unclear. The purpose of the present paper is to try to describe the geometric shape of invariant manifolds for a class of stochastic partial differential equations with multiplicative white noises. The local geometric shape of invariant manifolds is approximated, which holds with significant likelihood. Furthermore, the result is compared with that for the corresponding deterministic partial differential equations.
Keywords
Cite
@article{arxiv.1009.2554,
title = {Geometric shape of invariant manifolds for a class of stochastic partial differential equations},
author = {Guanggan Chen and Jinqiao Duan and Jian Zhang},
journal= {arXiv preprint arXiv:1009.2554},
year = {2015}
}