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Mixing by Statistically Self-similar Gaussian Random Fields

  • Imperial College London
  • Swiss Federal Institute of Technology Zurich

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We study the passive transport of a scalar field by a spatially smooth but white-in-time incompressible Gaussian random velocity field on Rd. If the velocity field u is homogeneous, isotropic, and statistically self-similar, we derive an exact formula which captures non-diffusive mixing. For zero diffusivity, the formula takes the shape of E‖θt-s2=e-λd,st‖θ0‖-s2 with any s∈(0,d/2) and λd,sD1:=s(λ1D1-2s) where λ1/D1=d is the top Lyapunov exponent associated to the random Lagrangian flow generated by u and D1 is small-scale shear rate of the velocity. Moreover, the mixing is shown to hold uniformly in diffusivity.

Original languageEnglish
Article number61
JournalJournal of Statistical Physics
Volume191
Issue number5
DOIs
StatePublished - May 2024

Keywords

  • Mixing
  • Scalar transport
  • Stochastic flows
  • Transport noise
  • Turbulence

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