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Mixing properties in the advection of passive tracers via recurrences and extreme value theory

Davide Faranda*

Xavier Leoncini† and Sandro Vaienti‡

  • Laboratoire SPHYNX, Service de Physique de l'Etat Condensé, DSM, CEA Saclay, CNRS URA 2464, 91191 Gif-sur-Yvette, France

  • Aix Marseille Université, CNRS, CPT, UMR 7332, 13288 Marseille, France and Université de Toulon, CNRS, CPT, UMR 7332, 83957 La Garde, France

  • *davide.faranda@cea.fr
  • †xavier.leoncini@cpt.univ-mrs.fr
  • ‡vaienti@cpt.univ-mrs.fr
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Phys. Rev. E 89, 052901 – Published 2 May, 2014

DOI: https://doi.org/10.1103/PhysRevE.89.052901

Abstract

In this paper we characterize the mixing properties in the advection of passive tracers by exploiting the extreme value theory for dynamical systems. With respect to classical techniques directly related to the Poincaré recurrences analysis, our method provides reliable estimations of the characteristic mixing times and distinguishes between barriers and unstable fixed points. The method is based on a check of convergence for extreme value laws on finite datasets. We define the mixing times in terms of the shortest time intervals such that extremes converge to the asymptotic (known) parameters of the generalized extreme value distribution. Our technique is suitable for applications in the analysis of other systems where mixing time scales need to be determined and limited datasets are available.

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Corrections

8 July, 2014

Erratum

Publisher's Note: Mixing properties in the advection of passive tracers via recurrences and extreme value theory [Phys. Rev. E 89, 052901 (2014)]

Davide Faranda, Xavier Leoncini, and Sandro Vaienti
Phys. Rev. E 90, 019902 (2014)

Article Text

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Outline

Information

Phys. Rev. E 89, 052901– Published 2 May, 2014
  • Received 20 February 2014
  • Corrected 8 July 2014

©2014 American Physical Society

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