Existence and upper semicontinuity of random pullback attractors for 2D and 3D non-autonomous stochastic convective Brinkman-Forchheimer equations on whole domain
Kush Kinra, Manil T. Mohan

TL;DR
This paper proves the existence and upper semicontinuity of random pullback attractors for 2D and 3D stochastic convective Brinkman-Forchheimer equations with non-autonomous forcing, extending attractor theory to unbounded domains.
Contribution
It establishes the existence of unique global and random pullback attractors for non-autonomous stochastic CBF equations on unbounded domains, a novel extension in the field.
Findings
Existence of a unique global pullback attractor for deterministic CBF equations.
Existence of a unique random pullback attractor for stochastic CBF equations with multiplicative noise.
Upper semicontinuity of the random attractor as noise intensity approaches zero.
Abstract
In this work, we analyze the long time behavior of 2D as well as 3D convective Brinkman-Forchheimer (CBF) equations and its stochastic counter part with non-autonomous deterministic forcing term in : where . We prove the existence of a unique global pullback attractor for non-autonomous CBF equations, for with , with and with . For the same cases, we show the existence of a unique random pullback attractor for non-autonomous stochastic CBF equations with multiplicative white noise. Finally, we establish the upper semicontinuity of the random pullback attractor, that is,…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering · Advanced Mathematical Physics Problems
