Convergence of bi-spatial pullback random attractors and stochastic Liouville type equations for nonautonomous stochastic p-Laplacian lattice system
Jintao Wang, Qinghai Peng, Chunqiu Li

TL;DR
This paper investigates the long-term behavior and convergence of stochastic attractors and invariant measures for a nonautonomous stochastic p-Laplacian lattice system with multiplicative noise, establishing key continuity and convergence results.
Contribution
It proves the upper semi-continuity of pullback random attractors and demonstrates the convergence of invariant measures and stochastic Liouville equations for the system.
Findings
Proved upper semi-continuity of pullback random attractors.
Established convergence of invariant measures in .
Showed invariant measures satisfy stochastic Liouville equations.
Abstract
We consider convergence properties of the long-term behaviors with respect to the coefficient of the stochastic term for a nonautonomous stochastic -Laplacian lattice equation with multiplicative noise. First, the upper semi-continuity of pullback random -attractor is proved for each . Then, a convergence result of the time-dependent invariant sample Borel probability measures is obtained in . Next, we show that the invariant sample measures satisfy a stochastic Liouville type equation and a termwise convergence of the stochastic Liouville type equations is verified. Furthermore, each family of the invariant sample measures is turned out to be a sample statistical solution, which hence also fulfills a convergence consequence.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Controllability of Differential Equations · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
