Invariant manifolds for stochastic partial differential equations 论文
2003The Annals of Probability引用 291
Stability and Controllability of Differential EquationsAdvanced Mathematical Modeling in EngineeringModel Reduction and Neural Networks
摘要
Invariant manifolds provide the geometric structures for describing and understanding dynamics of nonlinear systems. The theory of invariant manifolds for both finite- and infinite-dimensional autonomous deterministic systems and for stochastic ordinary differential equations is relatively mature. In this paper, we present a unified theory of invariant manifolds for infinite-dimensional random dynamical systems generated by stochastic partial differential equations. We first introduce a random graph transform and a fixed point theorem for nonautonomous systems. Then we show the existence of generalized fixed points which give the desired invariant manifolds.