dorsal/arxiv
View SchemaSelf-similar behavior of pre-turbulent fluctuations
| Authors | R. Collina, R. Livi, A. Mazzino |
|---|---|
| Categories | |
| ArXiv ID | physics/0312099 |
| URL | https://arxiv.org/abs/physics/0312099 |
Abstract
The random forced Navier-Stokes equation can be obtained as a variational problem of a proper action. In virtue of incompressibility, the integration over transverse components of the fields allows to cast the action in the form of a large deviation functional. Since the hydrodynamic operator is nonlinear, the functional integral yielding the statistics of fluctuations can be practically computed by linearizing around a physical solution of the hydrodynamic equation. We show that this procedure yields the dimensional scaling predicted by K41 theory at the lowest perturbative order, where the perturbation parameter is the inverse Reynolds number. This result is valid over a finite spatio-temporal domain, where the physical solution can be considered as stationary.
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"abstract": "The random forced Navier-Stokes equation can be obtained as a variational\nproblem of a proper action. In virtue of incompressibility, the integration\nover transverse components of the fields allows to cast the action in the form\nof a large deviation functional. Since the hydrodynamic operator is nonlinear,\nthe functional integral yielding the statistics of fluctuations can be\npractically computed by linearizing around a physical solution of the\nhydrodynamic equation. We show that this procedure yields the dimensional\nscaling predicted by K41 theory at the lowest perturbative order, where the\nperturbation parameter is the inverse Reynolds number. This result is valid\nover a finite spatio-temporal domain, where the physical solution can be\nconsidered as stationary.",
"arxiv_id": "physics/0312099",
"authors": [
"R. Collina",
"R. Livi",
"A. Mazzino"
],
"categories": [
"physics.flu-dyn"
],
"title": "Self-similar behavior of pre-turbulent fluctuations",
"url": "https://arxiv.org/abs/physics/0312099"
},
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"variant": "snapshot-2026-03-01",
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