Spontaneous Stochasticity Amplifies Even Thermal Noise to the Largest Scales of Turbulence in a Few Eddy Turnover Times

Dmytro Bandak, Alexei A. Mailybaev, Gregory L. Eyink, and Nigel Goldenfeld
Phys. Rev. Lett. 132, 104002 – Published 6 March 2024

Abstract

How predictable are turbulent flows? Here, we use theoretical estimates and shell model simulations to argue that Eulerian spontaneous stochasticity, a manifestation of the nonuniqueness of the solutions to the Euler equation that is conjectured to occur in Navier-Stokes turbulence at high Reynolds numbers, leads to universal statistics at finite times, not just at infinite time as for standard chaos. These universal statistics are predictable, even though individual flow realizations are not. Any small-scale noise vanishing slowly enough with increasing Reynolds number can trigger spontaneous stochasticity, and here we show that thermal noise alone, in the absence of any larger disturbances, would suffice. If confirmed for Navier-Stokes turbulence, our findings would imply that intrinsic stochasticity of turbulent fluid motions at all scales can be triggered even by unavoidable molecular noise, with implications for modeling in engineering, climate, astrophysics, and cosmology.

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  • Received 17 February 2023
  • Accepted 20 December 2023

DOI:https://doi.org/10.1103/PhysRevLett.132.104002

© 2024 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Fluid DynamicsNonlinear DynamicsStatistical Physics & Thermodynamics

Authors & Affiliations

Dmytro Bandak1, Alexei A. Mailybaev2, Gregory L. Eyink3, and Nigel Goldenfeld4

  • 1Department of Physics, University of Illinois at Urbana-Champaign, Loomis Laboratory of Physics, 1110 West Green Street, Urbana, Illinois 61801, USA
  • 2Instituto de Matemática Pura e Aplicada - IMPA, Rio de Janeiro 22460-320, Brazil
  • 3Department of Applied Mathematics and Statistics, and Department of Physics and Astronomy, The Johns Hopkins University, Baltimore, Maryland 21218, USA
  • 4Department of Physics, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA

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Issue

Vol. 132, Iss. 10 — 8 March 2024

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