Abstract
This paper is a synopsis of the recent book [9]. The latter is dedicated to the stochastic Burgers equation as a model for 1d turbulence, and the paper discusses its content in relation to the Kolmogorov theory of turbulence.
Résumé
Cet article est un synopsis du livre récent [9]. Le livre est dédié à l’équation be Burgers stochastique comme un modèle du turbulence unidimensionnelle, et l’article discute de son contenu en relation avec la théorie de la turbulence de Kolmogorov.
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Notes
Except those for moments of the \(L_1\)-Sobolev norms.
In this paper we do not deal with the energy range, so we do not define it.
This relation implies that the random field u is not Gaussian since for Gaussian fields the l.h.s. of (3.6) vanishes.
The function above with \(p=4,\, q=2\) is called the flatness of the random variable \(u(x+l) -u(x)\). It equals three for any Gaussian r.v.
The corresponding argument was added by E. Lifschitz to the third Russian edition of the book, after L. Landau passed away. In that version of the book (which corresponds to the second English edition [20]) the part, dedicated to the theory of turbulence, was significantly edited and enlarged.
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The author was supported by Agence Nationale de la Recherche through the grant 17-CE40-0006.
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Dedicated to my friend Alexander Shnirelman on his 75-th birthday.
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Kuksin, S. Kolmogorov’s theory of turbulence and its rigorous 1d model. Ann. Math. Québec 46, 181–193 (2022). https://doi.org/10.1007/s40316-021-00174-6
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DOI: https://doi.org/10.1007/s40316-021-00174-6