Pullback measure attractors exist uniquely for non-autonomous McKean-Vlasov stochastic delay lattice systems, are singleton and exponentially mixing under stronger damping, and are upper semicontinuous as distribution dependence vanishes.
Poisson equation on Wasserstein space and diffusion approximations for McKean-Vlasov equation
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We consider the fully-coupled McKean-Vlasov equation with multi-time-scale potentials, and all the coefficients depend on the distributions of both the slow component and the fast motion. By studying the smoothness of the solution of the non-linear Poisson equation on Wasserstein space, we derive the asymptotic limit as well as the quantitative error estimate of the convergence for the slow process. Extra homogenized drift term containing derivative in the measure argument of the solution of the Poisson equation appears in the limit, which seems to be new and is unique for systems involving the fast distribution.
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Pullback measure attractors and limiting behaviors of McKean-Vlasov stochastic delay lattice systems
Pullback measure attractors exist uniquely for non-autonomous McKean-Vlasov stochastic delay lattice systems, are singleton and exponentially mixing under stronger damping, and are upper semicontinuous as distribution dependence vanishes.