Uniform measure attractors of McKean-Vlasov stochastic reaction-diffusion equations on unbounded thin domain
This article addresses the issue of uniform measure attractors for non-autonomous McKean-Vlasov stochastic reaction-diffusion equations defined on unbounded thin domains. Initially, the concept of uniform measure attractors is recalled, and thereafter, the existence and uniqueness of such attractors are demonstrated. Uniform tail estimates are employed to establish the asymptotic compactness of the processes, thereby overcoming the non-compactness issue inherent in the usual Sobolev embedding on unbounded thin domains. Finally, we demonstrate that the upper semi-continuity of uniform measure attractors defined on $(n + 1)$-dimensional unbounded thin domains collapsing into the space $\mathbb{R}^n$.
math.PR↗