2020
DOI: 10.1007/s00205-020-01495-6
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Localized Smoothing for the Navier–Stokes Equations and Concentration of Critical Norms Near Singularities

Abstract: This paper is concerned with two dual aspects of the regularity question of the Navier-Stokes equations. First, we prove a local in time localized smoothing effect for local energy solutions. More precisely, if the initial data restricted to the unit ball belongs to the scale-critical space L 3 , then the solution is locally smooth in space for some short time, which is quantified. This builds upon the work of Jia andŠverák, who considered the subcritical case. Second, we apply these localized smoothing estima… Show more

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Cited by 24 publications
(41 citation statements)
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“…We thank Professors Barker and Prange who kindly sent us their preprint [1] while we are finishing this paper. The preprint [1] contains a result similar to our Corollary 1.2 for local energy weak solutions.…”
mentioning
confidence: 99%
“…We thank Professors Barker and Prange who kindly sent us their preprint [1] while we are finishing this paper. The preprint [1] contains a result similar to our Corollary 1.2 for local energy weak solutions.…”
mentioning
confidence: 99%
“…In this case, we have the following lighter notation: (p, r; 0, 0). 7 Technically, (28) must be assumed instead of (16). For the purpose of this discussion we overlook this point.…”
Section: Scale-invariant Estimatesmentioning
confidence: 99%
“…This point is discussed in more details in Section 1.3 below. (3) In the paper [7] on concentration phenomena for Type I blow-up solutions of the Navier-Stokes equations, a scale-critical condition such as (28) was used to provide a control in L 2,uloc (R 3 ) of a rescaled solution.…”
Section: Scale-invariant Estimatesmentioning
confidence: 99%
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“…The contradiction is achieved by showing that the limit function must be zero by applying a Liouville type theorem based on backward uniqueness for parabolic operators satisfying certain differential inequalities. By now there are many generalizations of (6) to cases of other critical norms. See, for example, [12,16,35,50].…”
Section: Introductionmentioning
confidence: 99%