Abstract:We consider the 3D hyperviscous Navier-Stokes equations in vorticity form, where the dissipative term −∆ ξ of the Navier-Stokes equations is substituted by (−∆) 1+c ξ. We investigate how big the correction term c has to be in order to prove, by means of Girsanov transform, that the vorticity equations are equivalent (in law) to easier reference equations obtained by neglecting the stretching term. This holds as soon as c > 1 2 , improving previous results obtained with c > 3 2 in a different setting in [5,14].… Show more
“…Moreover, our global well-posedness results are applicable for the case θ 2 = 1, θ 1 = 1 4 and the case θ 1 = 0, θ 2 ≥ 5 4 , which are corresponding to the the stochastic critical Leray-α model (see [2] for deterministic case) and hyperviscous Navier-Stokes equations. Hence our results cover and generalize some corresponding results in [2,19,22,24,27,44]. And we believe that the methods presented in this paper are also useful for tackling other types of SPDEs with fractional Laplacian.…”
Section: Introductionsupporting
confidence: 85%
“…In the case of θ 1 = 0, the stochastic fractional (or hyperviscous) Navier-Stokes equations have been intensively studied (see e.g. [19,24,44,46,50] and references within). Chueshov and Millet in [16] proved the well-posedness and large deviation principle of stochastic 3D Leray-α model in the case of θ 1 = θ 2 = 1 (see also [22]).…”
In this paper, we establish the global well-posedness of stochastic 3D Leray-α model with general fractional dissipation driven by multiplicative noise. This model is the stochastic 3D Navier-Stokes equations regularized through a smoothing kernel of order θ 1 in the nonlinear term and a θ 2 -fractional Laplacian. In the case of θ 1 ≥ 0 and θ 2 > 0 with θ 1 + θ 2 ≥ 5 4 , we prove the global existence and uniqueness of the strong solutions. The main results cover many existing works in the deterministic cases, and also generalize some known results of stochastic models such as stochastic hyperviscous Navier-Stokes equations and classical stochastic 3D Leray-α model as our special cases.
“…Moreover, our global well-posedness results are applicable for the case θ 2 = 1, θ 1 = 1 4 and the case θ 1 = 0, θ 2 ≥ 5 4 , which are corresponding to the the stochastic critical Leray-α model (see [2] for deterministic case) and hyperviscous Navier-Stokes equations. Hence our results cover and generalize some corresponding results in [2,19,22,24,27,44]. And we believe that the methods presented in this paper are also useful for tackling other types of SPDEs with fractional Laplacian.…”
Section: Introductionsupporting
confidence: 85%
“…In the case of θ 1 = 0, the stochastic fractional (or hyperviscous) Navier-Stokes equations have been intensively studied (see e.g. [19,24,44,46,50] and references within). Chueshov and Millet in [16] proved the well-posedness and large deviation principle of stochastic 3D Leray-α model in the case of θ 1 = θ 2 = 1 (see also [22]).…”
In this paper, we establish the global well-posedness of stochastic 3D Leray-α model with general fractional dissipation driven by multiplicative noise. This model is the stochastic 3D Navier-Stokes equations regularized through a smoothing kernel of order θ 1 in the nonlinear term and a θ 2 -fractional Laplacian. In the case of θ 1 ≥ 0 and θ 2 > 0 with θ 1 + θ 2 ≥ 5 4 , we prove the global existence and uniqueness of the strong solutions. The main results cover many existing works in the deterministic cases, and also generalize some known results of stochastic models such as stochastic hyperviscous Navier-Stokes equations and classical stochastic 3D Leray-α model as our special cases.
“…How could one prove uniqueness in law by means of probabilistic arguments? Girsanov theorem is the easiest method but it cannot work for Navier-Stokes equations, as Ferrario has shown in [33]. In general it seems that the Girsanov approach has limitations that are too strong.…”
Section: Role Of Kolmogorov Equation For Uniqueness In Lawmentioning
Regularization by noise for certain classes of fluid dynamic equations, a theme dear to Giuseppe Da Prato [23], is reviewed focusing on 3D Navier-Stokes equations and dyadic models of turbulence.
“…When θ 1 = 0, the stochastic fractional (or hyperviscous) Navier-Stokes equations have been intensively studied (see e.g. [20,26,38,48,54] and references within). The authors in [19] proved the well-posedness and large deviation principle of stochastic 3D Leray-α model in the case of θ 1 = θ 2 = 1 (see also [22]).…”
In this paper we establish the Freidlin-Wentzell's large deviation principle for stochastic 3D Leray-α model with general fractional dissipation and small multiplicative noise. This model is the stochastic 3D Navier-Stokes equations regularized through a smoothing kernel of order θ 1 in the nonlinear term and a θ 2-fractional Laplacian. The main result generalizes the corresponding LDP result of the classical stochastic 3D Leray-α model (θ 1 = 1, θ 2 = 1), and it is also applicable to the stochastic 3D hyperviscous Navier-Stokes equations (θ 1 = 0, θ 2 ≥ 5 4) and stochastic 3D critical Leray-α model (θ 1 = 1 4 , θ 2 = 1).
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