Random attractors for stochastic lattice dynamical systems with infinite multiplicative white noise. (January 2016)

• Record Type: Journal Article
• Authors: Caraballo, Tomás; Han, Xiaoying; Schmalfuss, Björn; Valero, José
• Is Part Of: Nonlinear analysis. Volume 130(2015)
• Page Start: 255
• Page End: 278
• Publication Date: 2016-01
• Subjects: 60H15 -- 34C35 -- 58F11 -- 58F15 -- 58F36; Stochastic lattice differential equations -- Random dynamical systems -- Random attractors -- Multiplicative noise; Mathematical analysis -- Periodicals; Functional analysis -- Periodicals; Nonlinear theories -- Periodicals; Analyse mathématique -- Périodiques; Analyse fonctionnelle -- Périodiques; Théories non linéaires -- Périodiques; Functional analysis; Mathematical analysis; Nonlinear theories; Periodicals; Electronic journals; 515.7248
• DOI: 10.1016/j.na.2015.09.025
• Languages: English
• ISSNs: 0362-546X

Abstract

Abstract: In this paper we investigate the long term behavior of a stochastic lattice dynamical system with a diffusive nearest neighbor interaction, a dissipative nonlinear reaction term, and a different multiplicative white noise at each node. We prove that this stochastic lattice equation generates a random dynamical system that possesses a global random attractor. In particular, we first establish an existence theorem for weak solutions to general random evolution equations, which is later applied to the specific stochastic lattice system to show that it has weak solutions and the solutions generate a random dynamical system. We then prove the existence of a random attractor of the underlying random dynamical system by constructing a random compact absorbing set and using an embedding theorem. The major novelty of this work is that we consider a different multiplicative white noise term at each different node, which significantly improves the previous results in the literature where the same multiplicative noise was considered at all the nodes. As a consequence, the techniques used in the existing literature are not applicable here and a new methodology has to be developed to study such systems.