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Generalized fractional diffusion equations for accelerating subdiffusion and truncated Lévy flights

  • A. V. Chechkin
  • , V. Yu Gonchar
  • , R. Gorenflo
  • , N. Korabel
  • , I. M. Sokolov

Research output: Contribution to journal › Article › peer-review

125 Scopus citations

Abstract

Fractional diffusion equations are widely used to describe anomalous diffusion processes where the characteristic displacement scales as a power of time. For processes lacking such scaling the corresponding description may be given by diffusion equations with fractional derivatives of distributed order. Such equations were introduced in A. V. Chechkin, R. Gorenflo, and I. Sokolov [Phys. Rev. E 66, 046129 (2002)] for the description of the processes getting more anomalous in the course of time (decelerating subdiffusion and accelerating superdiffusion). Here we discuss the properties of diffusion equations with fractional derivatives of the distributed order for the description of anomalous relaxation and diffusion phenomena getting less anomalous in the course of time, which we call, respectively, accelerating subdiffusion and decelerating superdiffusion. For the former process, by taking a relatively simple particular example with two fixed anomalous diffusion exponents we show that the proposed equation effectively describes the subdiffusion phenomenon with diffusion exponent varying in time. For the latter process we demonstrate by a particular example how the power-law truncated Lévy stable distribution evolves in time to the distribution with power-law asymptotics and Gaussian shape in the central part. The special case of two different orders is characteristic for the general situation in which the extreme orders dominate the asymptotics.

Original languageEnglish
Article number021111
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume78
Issue number2
DOIs
StatePublished - 12 Aug 2008
Externally publishedYes

ASJC Scopus subject areas

  • General Physics and Astronomy
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

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