From particle systems to the BGK equation

TL;DR

This paper provides a mathematical interpretation of the BGK equation by modifying the stochastic particle system underlying DSMC, linking kinetic and hydrodynamic descriptions and complementing previous theoretical results.

Contribution

It introduces a simple modification of the particle dynamics that derives the BGK equation from the inhomogeneous Kac model, bridging kinetic and hydrodynamic models.

Findings

The BGK equation can be obtained from a modified stochastic particle system.

The approach offers a mathematical interpretation of classical kinetic theory arguments.

The results connect microscopic particle dynamics with macroscopic kinetic equations.

Abstract

In [Phys. Rev. 94 (1954), 511-525], P.L. Bhatnagar, E.P. Gross and M. Krook introduced a kinetic equation (the BGK equation), effective in physical situations where the Knudsen number is small compared to the scales where Boltzmann's equation can be applied, but not enough for using hydrodynamic equations. In this paper, we consider the stochastic particle system (inhomogeneous Kac model) underlying Bird's direct simulation Monte Carlo method (DSMC), with tuning of the scaled variables yielding kinetic and/or hydrodynamic descriptions. Although the BGK equation cannot be obtained from pure scaling, it does follow from a simple modification of the dynamics. This is proposed as a mathematical interpretation of some arguments in [Phys. Rev. 94 (1954), 511-525], complementing previous results in [Arch. Ration. Mech. Anal. 240 (2021), 785-808] and [Kinet. Relat. Models 16 (2023), 269-293].