activity
20152026
most citedQuantitative estimate of propagation of chaos for stochastic systems with kernels

149 citations · 189 across the 19 of their papers we have counts for

collaborators

22 papers

math.AP2026

Uniform-in-time relative entropy estimates for Kac's approximation of the Landau equation

Xuanrui Feng, Chenguang Liu, Zhenfu Wang

We prove uniform-in-time quantitative relative entropy estimates for Kac's particle approximation of the three-dimensional spatially homogeneous Landau equation for Maxwellian mole…

math-ph2026

Purified Projection Method and Uhlmann Fidelity for Mixed Hartree Dynamics

Hao Liang, Zhenfu Wang

We give a purification and fidelity formulation of the projection method for mixed Hartree data. For the mean-field evolution of -particle density matrices, we prove quantitativ…

math-ph2026

Quantum Relative Entropy and the Mean-Field Limit

Gaoyue Guo, Hao Liang, Zhenfu Wang

We develop a quantum relative entropy method for the mean-field limit of quantum many-body systems. For closed systems governed by the von Neumann equation, we prove a quantitative…

math.AP2025

Kac's Program for the Landau Equation

Xuanrui Feng, Zhenfu Wang

We study the derivation of the spatially homogeneous Landau equation from the mean-field limit of a conservative -particle system, obtained by passing to the grazing limit on Ka…

math.AP2024

Propagation of Chaos for 2D Log Gas on the Whole Space

Shuzhe Cai, Xuanrui Feng, Yun Gong +1

We derive the quantitative propagation of chaos in the sense of relative entropy for the first time for the 2D Log gas or the weakly interacting particle systems with 2D Coulomb in…

math.AP2024

Quantitative Propagation of Chaos for 2D Viscous Vortex Model with General Circulations on the Whole Space

Xuanrui Feng, Zhenfu Wang

We derive quantitative propagation of chaos in the sense of relative entropy for the 2D viscous vortex model with general circulations, approximating the vorticity formulation of t…

math.AP2024★ 1 cited

Relative Entropy Method for Particle Approximation of the Landau Equation for Maxwellian Molecules

José Antonio Carrillo, Xuanrui Feng, Shuchen Guo +2

We derive the spatially homogeneous Landau equation for Maxwellian molecules from a natural stochastic interacting particle system. More precisely, we control the relative entropy…

math.AP2024

Uniform-in-time propagation of chaos for second order interacting particle systems

Yun Gong, Zhenfu Wang, Pengzhi Xie

We study the long time behavior of second order particle systems interacting through global Lipschitz kernels. Combining hypocoercivity method in [37] and relative entropy method i…

math.NA2024

Transport based particle methods for the Fokker-Planck-Landau equation

Vasily Ilin, Jingwei Hu, Zhenfu Wang

We propose a particle method for numerically solving the Landau equation, inspired by the score-based transport modeling (SBTM) method for the Fokker-Planck equation. This method c…

math.AP2023★ 3 cited

Quantitative Propagation of Chaos for 2D Viscous Vortex Model on the Whole Space

Xuanrui Feng, Zhenfu Wang

We derive the quantitative estimates of propagation of chaos for the large interacting particle systems in terms of the relative entropy between the joint law of the particles and…

math.NA2023★ 2 cited

Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs

Zebang Shen, Zhenfu Wang

We extend the concept of self-consistency for the Fokker-Planck equation (FPE) to the more general McKean-Vlasov equation (MVE). While FPE describes the macroscopic behavior of par…

math.PR2022

Mean-field limit of Non-exchangeable interacting diffusions with singular kernels

Zhenfu Wang, Xianliang Zhao, Rongchan Zhu

The mean-field limit of interacting diffusions without exchangeability, caused by weighted interactions and non-i.i.d. initial values, are investigated. The weights could be signed…

cs.LG2022★ 5 cited

Self-Consistency of the Fokker-Planck Equation

Zebang Shen, Zhenfu Wang, Satyen Kale +3

The Fokker-Planck equation (FPE) is the partial differential equation that governs the density evolution of the Itô process and is of great importance to the literature of statisti…

math.PR2021★ 1 cited

Gaussian fluctuations for interacting particle systems with singular kernels

Zhenfu Wang, Xianliang Zhao, Rongchan Zhu

We consider the asymptotic behavior of the fluctuations for the empirical measures of interacting particle systems with singular kernels. We prove that the sequence of fluctuation…

math.AP2020

Mean-field limit and quantitative estimates with singular attractive kernels

Didier Bresch, Pierre-Emmanuel Jabin, Zhenfu Wang

This paper proves the mean field limit and quantitative estimates for many-particle systems with singular attractive interactions between particles. As an important example, a full…

stat.ML2020★ 4 cited

Sinkhorn Natural Gradient for Generative Models

Zebang Shen, Zhenfu Wang, Alejandro Ribeiro +1

We consider the problem of minimizing a functional over a parametric family of probability measures, where the parameterization is characterized via a push-forward structure. An im…

cs.LG2020★ 4 cited

Sinkhorn Barycenter via Functional Gradient Descent

Zebang Shen, Zhenfu Wang, Alejandro Ribeiro +1

In this paper, we consider the problem of computing the barycenter of a set of probability distributions under the Sinkhorn divergence. This problem has recently found applications…

math.AP2019

Modulated Free Energy and Mean Field Limit

Didier Bresch, Pierre-Emmanuel Jabin, Zhenfu Wang

This is the document corresponding to the talk the first author gave at IH{É}S for the Laurent Schwartz seminar on November 19, 2019. It concerns our recent introduction of a modul…

math.AP2019★ 4 cited

On Mean Field Limit and Quantitative Estimates with a Large Class of Singular Kernels: Application to the Patlak-Keller-Segel Model

Didier Bresch, Pierre-Emmanuel Jabin, Zhenfu Wang

In this note, we propose a new relative entropy combination of the methods developed by P.--E. Jabin and Z.~Wang [Inventiones (2018)] and by S. Serfaty [Proc. Int. Cong. of Math, (…

math.AP2019★ 10 cited

Uniqueness of Bounded Solutions for the Homogeneous Relativistic Landau Equation with Coulomb Interactions

Robert M. Strain, Zhenfu Wang

We prove the uniqueness of weak solutions to the spatially homogeneous special relativistic Landau equation under the conditional assumption that the solution satisfies $(p^0)^7 F(…

math.AP2017★ 149 cited

Quantitative estimate of propagation of chaos for stochastic systems with kernels

Pierre-Emmanuel Jabin, Zhenfu Wang

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 t…

math.AP2015★ 6 cited

Mean Field Limit and Propagation of Chaos for Vlasov Systems with Bounded Forces

Pierre-Emmanuel Jabin, Zhenfu Wang

We consider large systems of particles interacting through rough but bounded interaction kernels. We are able to control the relative entropy between the -particle distribution…