Exponential Ergodicity for Time-Periodic McKean-Vlasov SDEs
Panpan Ren, Karl-Theodor Sturm, Feng-Yu Wang

TL;DR
This paper establishes exponential ergodicity for time-periodic McKean-Vlasov SDEs across various dissipativity scenarios, extending known results from time homogeneous cases and applying to inhomogeneous granular media and reflecting SDEs.
Contribution
It extends exponential ergodicity results to time-periodic McKean-Vlasov SDEs in multiple dissipativity contexts, including non-dissipative cases, with new techniques and applications.
Findings
Proved exponential ergodicity in Wasserstein and entropy for dissipative cases.
Established ergodicity in cost-induced Wasserstein distances for partially dissipative cases.
Extended results to reflecting McKean-Vlasov SDEs in convex domains.
Abstract
As extensions to the corresponding results derived for time homogeneous McKean- Vlasov SDEs, the exponential ergodicity is proved for time-periodic distribution dependent SDEs in three different situations: 1) in the quadratic Wasserstein distance and relative entropy for the dissipative case; 2) in the Wasserstein distance induced by a cost function for the partially dissipative case; and 3) in the weighted Wasserstein distance induced by a cost function and a Lyapunov function for the fully non-dissipative case. The main results are illustrated by time inhomogeneous granular media equations, and are extended to reflecting McKean-Vlasov SDEs in a convex domain.
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
TopicsGeometric Analysis and Curvature Flows · Nonlinear Partial Differential Equations · Stochastic processes and financial applications
