U
Uriel Frisch
Researcher at Centre national de la recherche scientifique
Publications - 234
Citations - 22036
Uriel Frisch is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Turbulence & Burgers' equation. The author has an hindex of 61, co-authored 232 publications receiving 21194 citations. Previous affiliations of Uriel Frisch include Harvard University & Los Alamos National Laboratory.
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Constructing weak solutions by tyger purging in the Burgers equation
TL;DR: In this paper, a novel numerical recipe, named tyger purging, is proposed to arrest the onset of thermalisation and hence recover the true dissipative solution. But the tyger recipe is not applicable to the one-dimensional Burgers equation, which typically has to be Galerkin-truncated.
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Book Review of Magnetohydrodynamic Turbulence, by Dieter Biskamp, Cambridge University Press, 2003, XII+297 pp., £65.00, $95, hardback (ISBN 0-521-81011-6).
TL;DR: The first book entirely devoted to magnetohydrodynamic (MHD) turbulence is as mentioned in this paper, which is a most welcome event for many physicists, astrophysicists and plasma physicists.
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Does multifractal theory of turbulence have logarithms in the scaling relations
TL;DR: In this article, the authors use the theory of large deviations applied to the random multiplicative model of turbulence and calculating subdominant terms to explain why logarithmic corrections cannot be present.
Book ChapterDOI
Two-Dimensional Isotropic Negative Eddy Viscosity: A Common Phenomenon
TL;DR: In this article, the existence of two-dimensional flows having an isotropic and negative eddy viscosity is demonstrated, when subject to a very weak large-scale perturbation of wavenumber k will amplify it with a rate proportional to k 2.
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Extreme deviations and applications
TL;DR: In this article, a theory of extreme deviations is developed, devoted to the far tail of the pdf of the sum of a finite number of independent random variables with a common pdf $e^{-f(x)}.