Exponential contractivity and propagation of chaos for Langevin dynamics of McKean-Vlasov type with L\'evy noises
Yao Liu, Jian Wang, Meng-ge Zhang

TL;DR
This paper establishes explicit exponential contraction rates and propagation of chaos for a class of Langevin McKean-Vlasov dynamics driven by Lévy noises, using a novel coupling approach and distance function.
Contribution
It introduces a refined coupling method and a new distance function to analyze exponential convergence and chaos propagation in Lévy-driven Langevin dynamics.
Findings
Explicit exponential contraction rates in Wasserstein distance.
Uniform propagation of chaos with explicit bounds.
Application to mean-field particle systems with Lévy noise.
Abstract
By the probabilistic coupling approach which combines a new refined basic coupling with the synchronous coupling for L\'evy processes, we obtain explicit exponential contraction rates in terms of the standard -Wasserstein distance for the following Langevin dynamic of McKean-Vlasov type on : \begin{equation*}\left\{\begin{array}{l} dX_t=Y_tdt,\\ dY_t=\left(b(X_t)+\displaystyle\int_{\mathbb{R}^d}\tilde{b}(X_t,z)\mu^X_t(dz)-\gamma Y_t\right)dt+dL_t,\quad \mu^X_t={\rm Law}(X_t),\end{array}\right. \end{equation*} where , and are two globally Lipschitz continuous functions, and is an -valued pure jump L\'evy process. The proof is also based on a novel distance function, which is designed according to the distance of the…
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
TopicsAdvanced Thermodynamics and Statistical Mechanics · Mathematical Biology Tumor Growth · Statistical Mechanics and Entropy
