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相关论文: Conditional Backward Propagation of Chaos

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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

In this paper, uniform in time quantitative propagation of chaos in $L^1$-Wasserstein distance for mean field interacting particle system is derived, where the diffusion coefficient is allowed to be interacting and the drift is assumed to…

概率论 · 数学 2025-10-29 Xing Huang

In this paper, we deal with Reflected Backward Stochastic Differential Equations for which the constraint is not on the paths of the solution but on its law as introduced by Briand, Elie and Hu in [3]. We extend the recent work [2] of…

概率论 · 数学 2021-08-20 Philippe Briand , Hélène Hibon

In this paper, we provide a general framework for investigating McKean-Vlasov stochastic partial differential equations. We first show the existence of weak solutions by combining the localizing approximation, Faedo-Galerkin technique,…

概率论 · 数学 2025-08-12 Wei Hong , Shihu Li , Wei Liu

We consider a Vlasov-Fokker-Planck equation governing the evolution of the density of interacting and diffusive matter in the space of positions and velocities. We use a probabilistic interpretation to obtain convergence towards equilibrium…

概率论 · 数学 2013-09-19 Francois Bolley , Arnaud Guillin , Florent Malrieu

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 chapter gives an overview of transport problems where chaotic dynamics of the system plays a crucial role. We begin with single-particle transport problems and then come to conservative and then dissipative systems of identical…

混沌动力学 · 物理学 2026-04-15 Andrey R. Kolovsky

We consider a stochastic system of $N$ particles, usually called vortices in that setting, approximating the 2D Navier-Stokes equation written in vorticity. Assuming that the initial distribution of the position and circulation of the…

偏微分方程分析 · 数学 2016-03-16 Nicolas Fournier , Maxime Hauray , Stéphane Mischler

We investigate the conditional McKean-Vlasov stochastic differential equations with jumps and Markovian regime-switching. We establish the strong wellposedness using L2-Wasser-stein distance on the Wasserstein space. Also, we establish the…

概率论 · 数学 2023-04-18 Jinghai Shao , Taoran Tian , Shen Wang

We study the dynamics of the front separating a spatio-temporally chaotic region from a stable steady region using a simple model applicable to periodically forced systems. In particular, we investigate both the coarsening of the front…

斑图形成与孤子 · 物理学 2008-02-15 J. W. Kim , J. Y. Vaishnav , E. Ott , S. C. Venkataramani , W. Losert

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

A fundamental issue in nonlinear dynamics and statistical physics is how to distinguish chaotic from stochastic fluctuations in short experimental recordings. This dilemma underlies many complex systems models from stochastic gene…

混沌动力学 · 物理学 2010-04-12 Chi-Sang Poon , Cheng Li , Guo-Qiang Wu

Boltzmann's equation provides a microscopic model for the evolution of dilute classical gases. A fundamental problem in mathematical physics is to rigorously derive Boltzmann's equation starting from Newton's laws. In the 1970s, Oscar…

偏微分方程分析 · 数学 2017-07-03 Ryan Denlinger

We analyze the disorder-perturbed transport of quantum states in the absence of backscattering. This comprises, for instance, the propagation of edge-mode wave packets in topological insulators, or the propagation of photons in…

量子物理 · 物理学 2017-11-02 Clemens Gneiting , Franco Nori

Polynomial chaos is a powerful technique for propagating uncertainty through ordinary and partial differential equations. Random variables are expanded in terms of orthogonal polynomials and differential equations are derived for the…

统计计算 · 统计学 2014-06-18 José Miguel Pasini , Tuhin Sahai

In this paper, we consider the Kac stochastic particle system associated to the spatially homogeneous Boltzmann equation for true hard potentials. We establish a rate of propagation of chaos of the particle system to the unique solution of…

概率论 · 数学 2020-10-22 Chenguang Liu , Liping Xu

We address a class of backward stochastic differential equations on a bounded interval, where the driving noise is a marked, or multivariate, point process. Assuming that the jump times are totally inaccessible and a technical condition…

概率论 · 数学 2016-06-28 Fulvia Confortola , Marco Fuhrman , Jean Jacod

We discuss old and new results on the mathematical justification of Boltzmann's equation. The classical result along these lines is a theorem which was proven by Lanford in the 1970s. This paper is naturally divided into three parts. I.…

偏微分方程分析 · 数学 2018-07-02 Ryan Denlinger

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

We consider the 3D Landau equation for moderately soft potentials ($\gamma\in(-2,0)$ with the usual notation) as well as a stochastic system of $N$ particles approximating it. We first establish some strong/weak stability estimates for the…

概率论 · 数学 2015-01-09 Nicolas Fournier , Maxime Hauray