Interacting particle systems with long range interactions: approximation by tagged particles in random fields

TL;DR

This paper derives kinetic equations from long-range interacting particle systems, showing how stochastic Langevin dynamics approximate these systems and providing explicit formulas for diffusion and friction coefficients, especially for Coulomb-like potentials.

Contribution

It introduces a detailed approximation of long-range particle interactions by Langevin dynamics and derives explicit formulas for key coefficients in the kinetic limit, including Coulomb potentials.

Findings

Kinetic regimes can be approximated by Langevin-type dynamics.

Explicit formulas for diffusion and friction coefficients are obtained.

Analysis of Coulombian potentials and the Coulomb logarithm is provided.

Abstract

In this paper we continue the study of the derivation of different types of kinetic equations which arise from scaling limits of interacting particle systems. We began this study in \cite{NVW}. More precisely, we consider the derivation of the kinetic equations for systems with long range interaction. Particular emphasis is put on the fact that all the kinetic regimes can be obtained approximating the dynamics of interacting particle systems, as well as the dynamics of Rayleigh Gases, by a stochastic Langevin-type dynamics for a single particle. We will present this approximation in detail and we will obtain precise formulas for the diffusion and friction coefficients appearing in the limit Fokker-Planck equation for the probability density of the tagged particle $f\left( x,v,t\right)$, for three different classes of potentials. The case of interaction potentials behaving as Coulombian potentials at large distances will be considered in detail. In particular, we will discuss the onset of the the so-called Coulombian logarithm.