Invariant manifolds for stochastic partial differential equations

作者: Bj�rn Schmalfuss , Kening Lu , Jinqiao Duan

DOI: 10.1214/AOP/1068646380

关键词:

摘要: Invariant manifolds provide the geometric structures for describing and understanding dynamics of nonlinear systems. The theory invariant for both finite- infinite-dimensional autonomous deterministic systems and stochastic ordinary differential equations is relatively mature. In this paper, we present a unified theory infinite-dimensional random dynamical systems generated by partial equations. We first introduce random graph transform fixed point theorem nonautonomous Then we show existence of generalized points which give desired invariant manifolds.

参考文章(19)
BJÓRN SCHMALFUSS, ATTRACTORS FOR THE NON–AUTONOMOUS DYNAMICAL SYSTEMS World Scientific Publishing Company. pp. 684- 689 ,(2000) , 10.1142/9789812792617_0136
Michel Valadier, Charles Castaing, Convex analysis and measurable multifunctions ,(1977)
Giuseppe Da Prato, Jerzy Zabczyk, Stochastic Equations in Infinite Dimensions ,(1992)
Ludwig Arnold, Random Dynamical Systems ,(1998)
Alain Bensoussan, Franco Flandoli, Stochastic inertial manifold Stochastics and Stochastics Reports. ,vol. 53, pp. 13- 39 ,(1995) , 10.1080/17442509508833981
Norbert Koksch, Stefan Siegmund, Pullback Attracting Inertial Manifolds for Nonautonomous Dynamical Systems Journal of Dynamics and Differential Equations. ,vol. 14, pp. 889- 941 ,(2002) , 10.1023/A:1020768711975