2006
DOI: 10.1515/ans-2006-0304
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Unique Strong Solutions and V -Attractors of a Three Dimensional System of Globally Modified Navier-Stokes Equations

Abstract: We prove the existence and uniqueness of strong solutions of a three dimensional system of globally modified Navier-Stokes equations. The flattening property is used to establish the existence of global V -attractors and a limiting argument is then used to obtain the existence of bounded entire weak solutions of the three dimensional Navier-Stokes equations with time independent forcing.

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Cited by 67 publications
(127 citation statements)
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“…It was also proved in [2] that if u 0 ∈ H \ V , and f ∈ L ∞ (0, +∞; H), then there exists a solution u of GMNSE with u(0) = u 0 , but we do not know if it is unique. Nevertheless, in this last case, we know that every solution u of the GMNSE with…”
Section: Remarkmentioning
confidence: 98%
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“…It was also proved in [2] that if u 0 ∈ H \ V , and f ∈ L ∞ (0, +∞; H), then there exists a solution u of GMNSE with u(0) = u 0 , but we do not know if it is unique. Nevertheless, in this last case, we know that every solution u of the GMNSE with…”
Section: Remarkmentioning
confidence: 98%
“…In [2] we proved that if u 0 ∈ V and f ∈ L 2 (0, T ; H), then there exists a unique solution u of the GMNSE with u(0) = u 0 , and…”
Section: Remarkmentioning
confidence: 99%
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“…It is worth mentioning that, in order to circumvent serious difficulties in analyzing the three dimensional Navier-Stokes equations, there have been many modifications of them starting with Leray and mostly involving the nonlinear term, see the review paper of Constantin [9]. A system, called the globally modified Navier-Stokes equations (GMNSE), was introduced recently by Caraballo, Kloeden and Real [2,3] and a similar analysis to the one carried out in the present paper is being investigated and will be reported elsewhere. In this paper, we will be mainly concerned with the case in which the delay terms are only locally Lipschitz (as is considered in [20] for the 2D Navier-Stokes model with variable delay).…”
Section: Introductionmentioning
confidence: 99%