Abstract:Stochastic Navier-Stokes equations in 2D and 3D possibly unbounded domains driven by a multiplicative Gaussian noise are considered. The noise term depends on the unknown velocity and its spatial derivatives. The existence of a martingale solution is proved. The construction of the solution is based on the classical Faedo-Galerkin approximation, the compactness method and the Jakubowski version of the Skorokhod Theorem for nonmetric spaces. Moreover, some compactness and tightness criteria in nonmetric spaces … Show more
“…Let us denoteẽ i := e i e i U , i ∈ N. The following lemma is a straightforward counterpart of Lemma 2.4 in [13] corresponding to our abstract setting. (b) For every n ∈ N and u ∈ U 8) i.e., the restriction of P n to U is the (·, ·) U -projection onto the subspace span{e 1 , ..., e n }.…”
Section: Auxiliary Results From Functional Analysis -Space U and An Omentioning
confidence: 99%
“…[(b i (x) · ∇)u(t, x) + c i (x)u(x)]dβ i (t), where (β) ii∈N are independent real-valued standard Wiener processes, see Section 8 in [13].…”
Section: G(t U(t)) Dw(t) =mentioning
confidence: 99%
“…[7], [8], [15], [17], [25], [16], [38], [37], [41], [42] and [13]. The noise term of Poissonian type is considered in the papers [20], [19], [21] and [12], and more general Lévy noise in [39] and [45].…”
The existence of martingale solutions of the hydrodynamic-type equations in 3D possibly unbounded domains is proved. The construction of the solution is based on the Faedo-Galerkin approximation. To overcome the difficulty related to the lack of the compactness of Sobolev embeddings in the case of unbounded domain we use certain Fréchet space. We use also compactness and tightness criteria in some nonmetrizable spaces and a version of the Skorokhod Theorem in non-metric spaces. The general framework is applied to the stochastic Navier-Stokes, magneto-hydrodynamic (MHD) and the Boussinesq equations.
“…Let us denoteẽ i := e i e i U , i ∈ N. The following lemma is a straightforward counterpart of Lemma 2.4 in [13] corresponding to our abstract setting. (b) For every n ∈ N and u ∈ U 8) i.e., the restriction of P n to U is the (·, ·) U -projection onto the subspace span{e 1 , ..., e n }.…”
Section: Auxiliary Results From Functional Analysis -Space U and An Omentioning
confidence: 99%
“…[(b i (x) · ∇)u(t, x) + c i (x)u(x)]dβ i (t), where (β) ii∈N are independent real-valued standard Wiener processes, see Section 8 in [13].…”
Section: G(t U(t)) Dw(t) =mentioning
confidence: 99%
“…[7], [8], [15], [17], [25], [16], [38], [37], [41], [42] and [13]. The noise term of Poissonian type is considered in the papers [20], [19], [21] and [12], and more general Lévy noise in [39] and [45].…”
The existence of martingale solutions of the hydrodynamic-type equations in 3D possibly unbounded domains is proved. The construction of the solution is based on the Faedo-Galerkin approximation. To overcome the difficulty related to the lack of the compactness of Sobolev embeddings in the case of unbounded domain we use certain Fréchet space. We use also compactness and tightness criteria in some nonmetrizable spaces and a version of the Skorokhod Theorem in non-metric spaces. The general framework is applied to the stochastic Navier-Stokes, magneto-hydrodynamic (MHD) and the Boussinesq equations.
“…Our method of using the tightness criteria, the Skorokhod Theorem and the construction of the Wiener process is related but different from those applied to related problems in [11] and [12].…”
Abstract:We study a stochastic Landau-Lifschitz-Gilbert Equations with non-zero anisotrophy energy and multidimensional noise. We prove the existence and some regularities of weak solution proved. Our paper is motivated by finite-dimensional study of stochastic LLGEs or general stochasric differential equations with constraints studied by Kohn et al [17] and Lelièvre et al [19].
“…Lévy randomness requires different techniques from the ones used for Brownian motion and are less amenable to mathematical analysis. We refer to [9], [11], [20], [28] and [36] that deal with stochastic hydrodynamical systems driven by Lévy type noise. Most of these articles are about the existence of solution which are weak in the PDEs sense.…”
Abstract. In this paper we prove the existence and uniqueness of maximal strong (in PDE sense) solution to several stochastic hydrodynamical systems on unbounded and bounded domains of R n , n = 2, 3. This maximal solution turns out to be a global one in the case of 2D stochastic hydrodynamical systems. Our framework is general in the sense that it allows us to solve the Navier-Stokes equations, MHD equations, Magnetic Bénard problems, Boussinesq model of the Bénard convection, Shell models of turbulence and the Leray-α model with jump type perturbation. Our goal is achieved by proving general results about the existence of maximal and global solution to an abstract stochastic partial differential equations with locally Lipschitz continuous coefficients. The method of the proofs are based on some truncation and fixed point methods.
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