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Spontaneous stochasticity amplifies even thermal noise to the largest scales of turbulence in a few eddy turnover times

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arxiv 2401.13881 v3 pith:VPGOFAAN submitted 2024-01-25 physics.flu-dyn

classification physics.flu-dyn
keywords noisestochasticityevenspontaneousturbulenceherenavier-stokespredictable
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How predictable are turbulent flows? Here we use theoretical estimates and shell model simulations to argue that Eulerian spontaneous stochasticity, a manifestation of the non-uniqueness 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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Gaussian non relativistic spontaneously stochastic hydrodynamics

    physics.flu-dyn 2026-07 conditional novelty 6.0 of 10

    The paper proposes that non-relativistic incompressible hydrodynamics is the infrared limit of a Gaussian stochastic theory, with compressible-scale counterterms generating spontaneous stochasticity and anomalous dissipation.

  2. Gaussian generally covariant hydrodynamics

    hep-th 2025-04 conditional novelty 6.0 of 10

    A Gaussian stochastic partition function constrained by gravitational Ward identities yields a proposed generally covariant fluctuating hydrodynamics in which flow is an approximate Killing vector.

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