Limiting Behavior of Non-Autonomous Stochastic Reversible Selkov Lattice Systems Driven by Locally Lipschitz L\'{e}vy Noises
Guofu Li, Jianxin Wu, Yunshun Wu

TL;DR
This paper studies the long-term behavior of non-autonomous stochastic Selkov lattice systems driven by Lévy noises, establishing the existence of unique pullback measure attractors and analyzing their properties under periodic forcing.
Contribution
It introduces a framework for analyzing the distributional dynamics of stochastic lattice systems with polynomial growth nonlinearities and proves the existence and periodicity of pullback measure attractors.
Findings
Existence of a unique pullback measure attractor for the system.
Pullback measure attractors are periodic under periodic external forcing.
Demonstrated upper semicontinuity of attractors as parameters tend to zero.
Abstract
This work investigates the long-term distributional behavior of the reversible Selkov lattice systems defined on the set and driven by locally Lipschitz \emph{L\'{e}vy noises}, which possess two pairs of oppositely signed nonlinear terms and whose nonlinear couplings can grow polynomially with any order . Firstly, based on the global-in-time well-posedness in , we define a \emph{continuous} non-autonomous dynamical system (NDS) on the metric space , where is the dual-Lipschitz distance on , the space of probability measures on . Specifically, we establish that this non-autonomous dynamical system admits a unique pullback measure attractor, characterized…
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 · Stochastic processes and financial applications · Nonlinear Differential Equations Analysis
