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相关论文: Quantitative propagation of chaos for particle sys…

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We derive quantitative estimates proving the conditional propagation of chaos for large stochastic systems of interacting particles subject to both idiosyncratic and common noise. We obtain explicit bounds on the relative entropy between…

概率论 · 数学 2024-07-02 Paul Nikolaev

We derive quantitative estimates proving the propagation of chaos for large stochastic systems of interacting particles. We obtain explicit bounds on the relative entropy between the joint law of the particles and the tensorized law at the…

偏微分方程分析 · 数学 2018-10-17 Pierre-Emmanuel Jabin , Zhenfu Wang

We develop a new technique for establishing quantitative propagation of chaos for systems of interacting particles. Using this technique we prove propagation of chaos for diffusing particles whose interaction kernel is merely H\"older…

偏微分方程分析 · 数学 2016-12-09 Thomas Holding

New quantitative propagation of chaos results for mean field diffusion are proved via local and global entropy estimates. In the first result we work on the torus and consider singular, divergence free interactions $K\in L^p$, $p>d$. We…

概率论 · 数学 2023-08-02 Yi Han

We study a stochastic system of $N$ interacting particles which models bimolecular chemical reaction-diffusion. In this model, each particle $i$ carries two attributes: the spatial location $X_t^i\in \mathbb{T}^d$, and the type $\Xi_t^i\in…

偏微分方程分析 · 数学 2020-01-24 Tau Shean Lim , Yulong Lu , James Nolen

This paper is devoted the the study of the mean field limit for many-particle systems undergoing jump, drift or diffusion processes, as well as combinations of them. The main results are quantitative estimates on the decay of fluctuations…

概率论 · 数学 2014-01-15 Stéphane Mischler , Clément Mouhot , Bernt Wennberg

We consider interacting systems particle driven by i.i.d. fractional Brownian motions, subject to irregular, possibly distributional, pairwise interactions. We show propagation of chaos and mean field convergence to the law of the…

概率论 · 数学 2025-12-02 Lucio Galeati , Khoa Lê , Avi Mayorcas

This note is concerned with weakly interacting stochastic particle systems with possibly singular pairwise interactions. In this setting, we observe a connection between entropic propagation of chaos and exponential concentration bounds for…

概率论 · 数学 2024-06-06 Joe Jackson , Antonios Zitridis

A criterion for proving a strong form of propagation of chaos on the path space, known as entropy chaos, for a general interacting diffusion system is proposed. Our analysis focuses on the class of conservative diffusions introduced by…

概率论 · 数学 2026-04-17 Luigi Borasi , Francesco Carlo De Vecchi , Stefania Ugolini

In this work, we prove the well-posedness and propagation of chaos for a stochastic particle system in mean-field interaction under the assumption that the interacting kernel belongs to a suitable $L_t^q-L_x^p$ space. Contrary to the large…

概率论 · 数学 2023-07-19 Milica Tomašević

We consider a $N$-particle interacting particle system with the vision geometrical constraints and reflected noises, proposed as a model for collective behavior of individuals. We rigorously derive a continuity-type of mean-field equation…

偏微分方程分析 · 数学 2017-05-12 Young-Pil Choi , Samir Salem

A system of interacting particles described by stochastic differential equations is considered. As oppopsed to the usual model, where the noise perturbations acting on different particles are independent, here the particles are subject to…

偏微分方程分析 · 数学 2016-06-23 Michele Coghi , Franco Flandoli

This paper develops a non-asymptotic, local approach to quantitative propagation of chaos for a wide class of mean field diffusive dynamics. For a system of $n$ interacting particles, the relative entropy between the marginal law of $k$…

概率论 · 数学 2023-05-31 Daniel Lacker

We consider an open quantum system governed $N$-body Lindblad equation and study mean-field limits in this setting. We prove that the $N$-particle dynamics converges, in the sense of quantum relative entropy, to the tensorized solution of…

数学物理 · 物理学 2026-05-11 Nina H. Amini , Sofiane Chalal

The propagation of chaos is a central concept of kinetic theory that serves to relate the equations of Boltzmann and Vlasov to the dynamics of many-particle systems. Propagation of chaos means that molecular chaos, i.e., the stochastic…

概率论 · 数学 2007-05-23 Alexander David Gottlieb

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

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 is devoted to the study of mean-field limit for systems of indistinguables particles undergoing collision processes. As formulated by Kac \cite{Kac1956} this limit is based on the {\em chaos propagation}, and we (1) prove and…

偏微分方程分析 · 数学 2010-01-19 Stéphane Mischler , Clément Mouhot

The notion of propagation of chaos for large systems of interacting particles originates in statistical physics and has recently become a central notion in many areas of applied mathematics. The present review describes old and new methods…

概率论 · 数学 2023-02-15 Louis-Pierre Chaintron , Antoine Diez

We consider a $N$-particle system interacting through the Newtonian potential with a polynomial cut-off in the presence of noise in velocity. We rigorously prove the propagation of chaos for this interacting stochastic particle system.…

偏微分方程分析 · 数学 2018-08-01 José A. Carrillo , Young-Pil Choi , Samir Salem
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