Convergence to a Gaussian by Narrowing of Central Peak in Brownian yet Non-Gaussian Diffusion in Disordered Environments

Adrian Pacheco-Pozo and Igor M. Sokolov
Phys. Rev. Lett. 127, 120601 – Published 14 September 2021
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Abstract

In usual diffusion, the concentration profile, starting from an initial distribution showing sharp features, first gets smooth and then converges to a Gaussian. By considering several examples, we show that the art of convergence to a Gaussian in diffusion in disordered media with infinite contrast may be strikingly different: sharp features of initial distribution do not smooth out at long times. This peculiarity of the strong disorder may be of importance for diagnostics of disorder in complex, e.g., biological, systems.

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  • Received 19 May 2021
  • Revised 28 July 2021
  • Accepted 10 August 2021

DOI:https://doi.org/10.1103/PhysRevLett.127.120601

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Adrian Pacheco-Pozo1,* and Igor M. Sokolov1,2,†

  • 1Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, D-12489 Berlin, Germany
  • 2IRIS Adlershof, Zum Großen Windkanal 2, D-12489 Berlin, Germany

  • *Corresponding author. adrian.pacheco@physik.hu-berlin.de
  • Corresponding author. igor.sokolov@physik.hu-berlin.de

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Issue

Vol. 127, Iss. 12 — 17 September 2021

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