2002
DOI: 10.1007/s00245-002-0734-6
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Stochastic 2-D Navier--Stokes Equation

Abstract: Abstract. In this paper we study the stochastic Navier-Stokes equation with artificial compressibility. The main results of this work are the existence and uniqueness theorem for strong solutions and the limit to incompressible flow. These results are obtained by utilizing a local monotonicity property of the sum of the Stokes operator and the nonlinearity.

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Cited by 146 publications
(113 citation statements)
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“…Thus, this result contains the corresponding existence and uniqueness theorems and a priori bounds for 2D Navier-Stokes equations (see, e.g. [28,34]), for the Boussinesq model of the Bénard convection (see [17], [14]), and also for the GOY shell model of turbulence (see [1] and [27]). Theorem 2.4 generalizes the existence result for MHD equations given in [2] to the case of multiplicative noise and also covers new situations such as the 2D magnetic Bénard problem, the 3D Leray α-model and the Sabra shell model of turbulence.…”
Section: Introductionmentioning
confidence: 80%
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“…Thus, this result contains the corresponding existence and uniqueness theorems and a priori bounds for 2D Navier-Stokes equations (see, e.g. [28,34]), for the Boussinesq model of the Bénard convection (see [17], [14]), and also for the GOY shell model of turbulence (see [1] and [27]). Theorem 2.4 generalizes the existence result for MHD equations given in [2] to the case of multiplicative noise and also covers new situations such as the 2D magnetic Bénard problem, the 3D Leray α-model and the Sabra shell model of turbulence.…”
Section: Introductionmentioning
confidence: 80%
“…However the hypotheses in [12] do not cover our hydrodynamical type model. We also note the stochastic Navier-Stokes equations were studied by many authors (see, e.g., [5,18,28,36] and the references therein).…”
Section: Introductionmentioning
confidence: 97%
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“…Since we are in 2-D then it is known that under our hypotheses (I)-(III) the problem (5) has a probabilistic strong solution which is unique, see for example [9]. This implies that the process v of the above theorem is a probabilistic strong solution of the stochastic Navier-Stokes equations (5).…”
Section: Introduction and Main Resultsmentioning
confidence: 88%
“…Menaldi and Sritharan [27] further developed this theory for the case when the sum of the linear and nonlinear operators are locally monotone. …”
Section: Definition 39 (Strong Solution)mentioning
confidence: 99%