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相关论文: Propagation of chaos for mean field rough differen…

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We provide in this work a robust solution theory for random rough differential equations of mean field type $$ dX_t = V(X_t,\mathcal{L}(X_t))dt + F(X_t,\mathcal{L}(X_t))dW_t, $$ where $W$ is a random rough path and $\mathcal{L}(X_t)$ stands…

概率论 · 数学 2019-07-02 I. Bailleul , R. Catellier , F. Delarue

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

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 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 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

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

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

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 prove propagation of chaos in the Random field mean-field Ising model, also known ad the Random field Curie-Weiss model. We show that in the paramagnetic phase, i.e.\ in the regime where temperature and distribution of the external field…

概率论 · 数学 2023-12-05 Matthias Löwe , Zakhar Kabluchko

In this work, we study the mean field Schr\"odinger problem from a purely probabilistic point of view by exploiting its connection to stochastic control theory for McKean-Vlasov diffusions. Our main result shows that the mean field…

概率论 · 数学 2024-09-27 Camilo Hernández , Ludovic Tangpi

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

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

The aim of this note is to revisit propagation of chaos for a Langevin-type interacting particle system used for sampling probability measures. The interacting particle system we consider coincides, in the setting of a log-quadratic target…

概率论 · 数学 2024-09-11 U Vaes

We establish a Sanov type large deviation principle for an ensemble of interacting Brownian rough paths. As application a large deviations for the ($k$-layer, enhanced) empirical measure of weakly interacting diffusions is obtained. This in…

概率论 · 数学 2019-04-23 Jean-Dominique Deuschel , Peter K. Friz , Mario Maurelli , Martin Slowik

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 the asymptotics of the point process induced by an interacting particle system with mean-field drift interaction. Under suitable assumptions, we establish propagation of chaos for this point process: it has the same weak limit as…

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

This paper is devoted to the study of propagation of chaos and mean-field limits for systems of indistinguable particles, undergoing collision processes. The prime examples we will consider are the many-particle jump processes of Kac and…

偏微分方程分析 · 数学 2012-07-24 Stéphane Mischler , Clément Mouhot

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

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

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
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