Pullback measure attractors for non-autonomous stochastic reaction-diffusion equations on thin domains
Dingshi Li, Bixiang Wang
Abstract
This paper is concerned with pullback measure attractors of the non-autonomous stochastic reaction-diffusion equations defined in thin domains. We first prove the existence and uniqueness of pullback measure attractors for the inhomogeneous Markov process associated with the stochastic equations. We also introduce the concept of complete orbits for this sort of systems and use these special solutions to characterize the structures of pullback measure attractors. Then we establish the upper semi-continuity of these attractors as a family of thin domains collapses into a lower-dimensional domain.
Topics & Concepts
MathematicsPullback attractorMeasure (data warehouse)AttractorPullbackReaction–diffusion systemDiffusionMathematical analysisPure mathematicsStatistical physicsThermodynamicsComputer sciencePhysicsDatabaseStability and Controllability of Differential EquationsAdvanced Mathematical Modeling in EngineeringNumerical methods in inverse problems