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Strong convergence of trajectory attractors for reaction–diffusion systems with random rapidly oscillating terms

Kuanysh A. Bekmaganbetov, Г. А. Чечкин, Vladimir V. Chepyzhov

2020Communications on Pure &amp Applied Analysis18 citationsDOIOpen Access PDF

Abstract

We consider reaction–diffusion systems with random terms that oscillate rapidly in space variables. Under the assumption that the random functions are ergodic and statistically homogeneous we prove that the random trajectory attractors of these systems tend to the deterministic trajectory attractors of the averaged reaction-diffusion system whose terms are the average of the corresponding terms of the original system. Special attention is given to the case when the convergence of random trajectory attractors holds in the strong topology.

Topics & Concepts

AttractorTrajectoryErgodic theoryConvergence (economics)MathematicsDiffusionStatistical physicsReaction–diffusion systemApplied mathematicsMathematical analysisPhysicsQuantum mechanicsEconomic growthEconomicsStability and Controllability of Differential EquationsAdvanced Mathematical Modeling in EngineeringNonlinear Dynamics and Pattern Formation