The Batchelor spectrum of passive scalar turbulence in stochastic fluid mechanics at fixed Reynolds number
Jacob Bedrossian, Alex Blumenthal, Sam Punshon-Smith

TL;DR
This paper rigorously proves Batchelor's prediction of a |k|^{-1} power spectrum for passive scalars in stochastic fluid models at fixed Reynolds number, establishing the spectral behavior in the zero-diffusivity limit.
Contribution
The paper provides a rigorous proof of Batchelor's spectrum prediction for passive scalars in stochastic fluid mechanics at fixed Reynolds number, including the existence of stationary solutions without diffusivity.
Findings
Validation of Batchelor's spectrum in stochastic fluid models
Existence of stationary weak solutions in the zero-diffusivity limit
Criticality result showing non-existence of more regular dissipative solutions
Abstract
In 1959, Batchelor predicted that the stationary statistics of passive scalars advected in fluids with small diffusivity should display a power spectrum along an inertial range contained in the viscous-convective range of the fluid model. This prediction has been extensively tested, both experimentally and numerically, and is a core prediction of passive scalar turbulence. In this article we provide a rigorous proof of a version of Batchelor's prediction in the limit when the scalar is subjected to a spatially-smooth, white-in-time stochastic source and is advected by the 2D Navier-Stokes equations or 3D hyperviscous Navier-Stokes equations in forced by sufficiently regular, nondegenerate stochastic forcing. Although our results hold for fluids at arbitrary Reynolds number, this value is fixed throughout. Our results rely on the…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Advanced Thermodynamics and Statistical Mechanics · Stochastic processes and financial applications
