Abstract

We calculate the Lyapunov exponents describing spatial clustering of particles advected in one- and two-dimensional random velocity fields at finite Kubo numbers Ku (a dimensionless parameter characterising the correlation time of the velocity field). In one dimension we obtain accurate results up to Ku ~ 1 by resummation of a perturbation expansion in Ku. At large Kubo numbers we compute the Lyapunov exponent by taking into account the fact that the particles follow the minima of the potential function corresponding to the velocity field. The Lyapunov exponent is always negative. In two spatial dimensions the sign of the maximal Lyapunov exponent \lambda_1 may change, depending upon the degree of compressibility of the flow and the Kubo number. For small Kubo numbers we compute the first four non-vanishing terms in the small-Ku expansion of the Lyapunov exponents. By resumming these expansions we obtain a precise estimate of the location of the path-coalescence transition (where \lambda_1 changes sign) for Kubo numbers up to approximately Ku = 0.5. For large Kubo numbers we estimate the Lyapunov exponents for a partially compressible velocity field by assuming that the particles sample those stagnation points of the velocity field that have a negative real part of the maximal eigenvalue of the matrix of flow-velocity gradients.

Highlights

  • Consider many small tracer particles advected in a random or chaotic compressible flow

  • At large Kubo numbers the spatial patterns formed by the particles must depend on the details of the fluctuations of the underlying flow, but it is not known how to analytically compute the Lyapunov exponents of particles advected in compressible velocity fields at finite Kubo numbers

  • This is consistent with the behaviour observed at very large Kubo numbers: we show that the particles preferentially sample the attracting stagnation points of the velocity field in this limit

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Summary

Introduction

Consider many small tracer particles advected in a random or chaotic compressible flow. At large Kubo numbers the spatial patterns formed by the particles must depend on the details of the fluctuations of the underlying flow, but it is not known how to analytically compute the Lyapunov exponents of particles advected in compressible velocity fields at finite Kubo numbers. Approximating the fluctuations of the flow-velocity gradient by telegraph noise with a finite correlation time, Falkovich et al computed Lyapunov exponents in one-dimensional and incompressible two-dimensional models for advected and inertial particles [26, 27]. In this paper we compute the Lyapunov exponents for particles advected in one- and twodimensional compressible Gaussian random velocity fields with finite Kubo numbers

One Spatial Dimension
Small-Ku Limit
Ku6 β2 33
Large-Ku Limit
Conclusions
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