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      Exponential self-similar mixing by incompressible flows

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          Abstract

          We study the problem of the optimal mixing of a passive scalar under the action of an incompressible flow in two space dimensions. The scalar solves the continuity equation with a divergence-free velocity field which satisfies a bound in the Sobolev space \(W^{s,p}\), where \(s \geq 0\) and \(1\leq p\leq \infty\). The mixing properties are given in terms of a characteristic length scale, called the mixing scale. We consider two notions of mixing scale, one functional, expressed in terms of the homogeneous Sobolev norm \(\dot H^{-1}\), the other geometric, related to rearrangements of sets. We study rates of decay in time of both scales under self-similar mixing. For the case \(s=1\) and \(1 \leq p \leq \infty\) (including the Lipschitz case, and the case of physical interest of enstrophy-constrained flows), we present examples of velocity fields and initial configurations for the scalar that saturate the exponential lower bound established in previous works for the decay in time of both scales. We also present several consequences for the geometry of regular Lagrangian flows associated to Sobolev velocity fields.

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          Hitchhikerʼs guide to the fractional Sobolev spaces

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            Stirring by chaotic advection

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              Ordinary differential equations, transport theory and Sobolev spaces

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                Author and article information

                Journal
                2016-05-06
                Article
                1605.02090
                d2c8ba8d-dad4-4d2b-ab61-c4127548e103

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                35Q35, 76F25
                Some results were announced in G. Alberti, G. Crippa, A. L. Mazzucato, "Exponential self-similar mixing and loss of regularity for continuity equations", C. R. Math. Acad. Sci. Paris, 352(11):901--906, 2014, arXiv:1407.2631v2
                math.AP

                Analysis
                Analysis

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