The statistics of velocity fluctuations arising from a random distribution of point vortices: the speed of fluctuations and the diffusion coefficient
Pierre-Henri Chavanis, Cl\'ement Sire (U. Toulouse & CNRS, France)

TL;DR
This paper provides a detailed statistical analysis of velocity and acceleration fluctuations caused by random point vortices in 2D turbulence, revealing their distribution laws, fluctuation durations, and implications for vortex diffusion and turbulence decay.
Contribution
It introduces a comprehensive statistical framework for velocity and acceleration fluctuations in vortex systems, including new analytical results and physical interpretations, especially for real vortices with finite cores.
Findings
Velocity p.d.f. is between Gaussian and Lévy laws.
Acceleration distribution follows a Cauchy law, transitioning to Gaussian for large fluctuations.
Derived an approximate diffusion coefficient and related anomalous diffusion exponent to vortex decay.
Abstract
This paper is devoted to a statistical analysis of the fluctuations of velocity and acceleration produced by a random distribution of point vortices in two-dimensional turbulence. We show that the velocity probability density function (p.d.f.) behaves in a manner which is intermediate between Gaussian and L\'evy laws while the distribution of accelerations is governed by a Cauchy law. Our study accounts properly for a spectrum of circulations among the vortices. In the case of real vortices (with a finite core) we show analytically that the distribution of accelerations makes a smooth transition from Cauchy (for small fluctuations) to Gaussian (for large fluctuations) passing probably through an exponential tail. We introduce a function which gives the typical duration of a velocity fluctuation ; we show that behaves like and for weak and large velocities…
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