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A new class of particle systems with sequential interaction is proposed to approximate the McKean-Vlasov process that originally arises as the limit of the mean-field interacting particle system. The weighted empirical measure of this…

概率论 · 数学 2023-01-25 Kai Du , Yifan Jiang , Xiaochen Li

This paper develops a theory of propagation of chaos for a system of weakly interacting particles whose terminal configuration is fixed as opposed to the initial configuration as customary. Such systems are modeled by backward stochastic…

概率论 · 数学 2019-11-19 Mathieu Laurière , Ludovic Tangpi

We study the long-time behaviour of both the classical second-order Langevin dynamics and the nonlinear second-order Langevin dynamics of McKean-Vlasov type. By a coupling approach, we establish global contraction in an $L^1$ Wasserstein…

概率论 · 数学 2022-06-08 Katharina Schuh

We study the mean field Langevin dynamics and the associated particle system. By assuming the functional convexity of the energy, we obtain the $L^p$-convergence of the marginal distributions towards the unique invariant measure for the…

概率论 · 数学 2025-11-06 Fan Chen , Zhenjie Ren , Songbo Wang

We provide an estimation of the dissipation of the Wasserstein 2 distance between the law of some interacting $N$-particle system, and the $N$ times tensorized product of solution to the corresponding limit nonlinear conservation law. It…

偏微分方程分析 · 数学 2018-10-23 Samir Salem

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 $L^1$-Wasserstein distance for…

概率论 · 数学 2024-02-20 Yao Liu , Jian Wang , Meng-ge Zhang

We establish the sharp rate of propagation of chaos for McKean-Vlasov equations with coefficients that are non-linear in the measure argument, i.e., not necessarily given by pairwise interactions. Results are given both on bounded time…

概率论 · 数学 2026-03-12 Manuel Arnese , Daniel Lacker

We study dynamics for asymmetric spin glass models, proposed by Hertz et al. and Sompolinsky et al. in the 1980's in the context of neural networks: particles evolve via a modified Langevin dynamics for the Sherrington--Kirkpatrick model…

概率论 · 数学 2020-01-27 Amir Dembo , Eyal Lubetzky , Ofer Zeitouni

We study 1-Wasserstein propagation of chaos for "McKean-type" nonlinear Markov chains and their associated interacting particle systems. This paper is organized into two parts: the first part combines arguments from various areas of…

概率论 · 数学 2026-02-10 James Vuckovic

We study the kinetic mean field Langevin dynamics under the functional convexity assumption of the mean field energy functional. Using hypocoercivity, we first establish the exponential convergence of the mean field dynamics and then show…

概率论 · 数学 2024-02-09 Fan Chen , Yiqing Lin , Zhenjie Ren , Songbo Wang

The first goal of this note is to prove the strong well-posedness of McKean-Vlasov SDEs driven by L{\'e}vy processes on $\mathbb{R}^d$ having a finite moment of order $\beta \in [1,2]$ and under standard Lipschitz assumptions on the…

概率论 · 数学 2025-04-24 Thomas Cavallazzi

This article is a continuation of our first work \cite{chaudruraynal:frikha}. We here establish some new quantitative estimates for propagation of chaos of non-linear stochastic differential equations in the sense of McKean-Vlasov. We…

偏微分方程分析 · 数学 2021-08-26 Noufel Frikha , Paul-Eric Chaudru de Raynal

We prove propagation of chaos at explicit polynomial rates in Wasserstein distance W_2 for Kac's N-particle system associated with the spatially homogeneous Boltzmann equation for Maxwell molecules, with and without cutoff. Our approach is…

数学物理 · 物理学 2017-12-27 Roberto Cortez , Joaquin Fontbona

This paper focus on investigating the explicit rate of convergence for the propagation of chaos, in a pathwise sense a family of interacting stochastic particle related to some Brownian driven McKean-Vlasov dynamics. Precisely the McKean…

概率论 · 数学 2019-07-23 Jean-Francois Jabir

We study the rate of propagation of chaos for a McKean--Vlasov equation with conditional expectation terms in the drift. We use a (regularized) Nadaraya--Watson estimator at a particle level to approximate the conditional expectations; we…

概率论 · 数学 2025-07-31 Manuel Arnese

We study the asymptotic behavior of the normalized maxima of real-valued diffusive particles with mean-field drift interaction. Our main result establishes propagation of chaos: in the large population limit, the normalized maxima behave as…

概率论 · 数学 2026-03-24 Nikolaos Kolliopoulos , Martin Larsson , Zeyu Zhang

We prove the quantitative propagation of chaos for stochastic particle systems with interaction in both the drift and the diffusion coefficients, provided the drift kernel is bounded and free of Lipschitz or smoothness assumptions. Our…

偏微分方程分析 · 数学 2026-04-14 Ning Jiang , Rongli Mo

We prove disorder chaos at zero temperature for three types of diluted models with large connectivity parameter: $K$-spin antiferromagnetic Ising model for even $K\geq 2$, $K$-spin spin glass model for even $K\geq 2$, and random $K$-sat…

概率论 · 数学 2018-06-04 Wei-Kuo Chen , Dmitry Panchenko

As an enhanced version of existing results on Kac's propagation of chaos, which describes the convergence of mean-field particle systems to a system of independent McKean-Vlasov particles as the number of particles tends to infinity, we…

概率论 · 数学 2026-05-12 Xiao-Yu Zhao

Due to the regularization effect of the stochastic noise, the quantitative entropy-cost type propagation of chaos for mean field interacting particle system is proposed. The result shows that the Kac's chaotic property measured in relative…

概率论 · 数学 2025-11-06 Xing Huang
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