Two-dimensional Brownian vortices

TL;DR

This paper introduces a stochastic model for two-dimensional Brownian vortices, deriving kinetic equations and analyzing equilibrium states, with applications to plasma, gravity, and chemotaxis systems.

Contribution

It develops a stochastic framework for 2D vortices, deriving kinetic equations and equilibrium distributions, extending to systems with multiple vortex types and long-range interactions.

Findings

Derivation of stochastic equations for vorticity fields.

Kinetic equations for inhomogeneous vortex systems.

Analysis of two-body correlations in homogeneous systems.

Abstract

We introduce a stochastic model of two-dimensional Brownian vortices associated with the canonical ensemble. The point vortices evolve through their usual mutual advection but they experience in addition a random velocity and a systematic drift generated by the system as a whole. The statistical equilibrium state of this stochastic model is the Gibbs canonical distribution. We consider a single species system and a system made of two types of vortices with positive and negative circulations. At positive temperatures, like-sign vortices repel each other (plasma case) and at negative temperatures, like-sign vortices attract each other (gravity case). We derive the stochastic equation satisfied by the exact vorticity field and the Fokker-Planck equation satisfied by the N-body distribution function. We present the BBGKY-like hierarchy of equations satisfied by the reduced distribution functions and close the hierarchy by considering an expansion of the solutions in powers of 1/N, where N is the number of vortices, in a proper thermodynamic limit. For spatially inhomogeneous systems, we derive the kinetic equations satisfied by the smooth vorticity field in a mean field approximation valid for $N\to +\infty$. For spatially homogeneous systems, we study the two-body correlation function, in a Debye-H\"uckel approximation valid at the order O(1/N). The results of this paper can also apply to other systems of random walkers with long-range interactions such as self-gravitating Brownian particles and bacterial populations experiencing chemotaxis. Furthermore, for positive temperatures, our study provides a kinetic derivation, from microscopic stochastic processes, of the Debye-H\"uckel model of electrolytes.