2013
DOI: 10.1214/ecp.v18-2382
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Uniqueness for an inviscid stochastic dyadic model on a tree

Abstract: In this paper we prove that the lack of uniqueness for solutions of the tree dyadic model of turbulence is overcome with the introduction of a suitable noise. The uniqueness is a weak probabilistic uniqueness for all $l^2$-initial conditions and is proven using a technique relying on the properties of the $q$-matrix associated to a continuous time Markov chain

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Cited by 19 publications
(25 citation statements)
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“…Precursors already appeared several years ago, see, for instance, (Brzeźniak et al 1991(Brzeźniak et al , 1992Rozovskii 2004, 2005). Then, it was observed, for particular models (see, for instance, Flandoli et al 2010;Maurelli 2011;Flandoli et al 2014;Barbato et al 2014;Bianchi 2013;Beck et al 2014; Flandoli 2010; Bianchi and Flandoli 2020 and others) that such noise has sometimes rich regularizing properties, typically in terms of improved uniqueness results or blow-up control. This also contributed to additional investigations on such random perturbation.…”
Section: Introductionmentioning
confidence: 99%
“…Precursors already appeared several years ago, see, for instance, (Brzeźniak et al 1991(Brzeźniak et al , 1992Rozovskii 2004, 2005). Then, it was observed, for particular models (see, for instance, Flandoli et al 2010;Maurelli 2011;Flandoli et al 2014;Barbato et al 2014;Bianchi 2013;Beck et al 2014; Flandoli 2010; Bianchi and Flandoli 2020 and others) that such noise has sometimes rich regularizing properties, typically in terms of improved uniqueness results or blow-up control. This also contributed to additional investigations on such random perturbation.…”
Section: Introductionmentioning
confidence: 99%
“…The model (1) considered in this paper is itself stochastic, through the random initial condition X , and the infinite-dimensional multiplicative noise (W n ) n , which formally conserves energy. Other examples linked to this one in the literature are the already mentioned [7][8][9]11] and [14].…”
Section: Introductionmentioning
confidence: 88%
“…The requirement of finite fourth moments, which appears in the definition of proper solution, is a technical assumption needed in Proposition 1, which shows that second moments of a proper solution solve a closed system of equations (see also [9], [11]). Fourth moments play also a role in Theorem 1.…”
Section: Model and Proper Solutionsmentioning
confidence: 99%
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