Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities

A growing number of biological, soft, and active matter systems are observed to exhibit normal diffusive dynamics with a linear growth of the mean-squared displacement, yet with a non-Gaussian distribution of increments. Based on the Chubinsky-Slater idea of a diffusing diffusivity, we here establis...

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Main Authors: Aleksei V. Chechkin, Flavio Seno, Ralf Metzler, Igor M. Sokolov
Format: Article
Language:English
Published: American Physical Society 2017-04-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.7.021002
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author Aleksei V. Chechkin
Flavio Seno
Ralf Metzler
Igor M. Sokolov
author_facet Aleksei V. Chechkin
Flavio Seno
Ralf Metzler
Igor M. Sokolov
author_sort Aleksei V. Chechkin
collection DOAJ
description A growing number of biological, soft, and active matter systems are observed to exhibit normal diffusive dynamics with a linear growth of the mean-squared displacement, yet with a non-Gaussian distribution of increments. Based on the Chubinsky-Slater idea of a diffusing diffusivity, we here establish and analyze a minimal model framework of diffusion processes with fluctuating diffusivity. In particular, we demonstrate the equivalence of the diffusing diffusivity process with a superstatistical approach with a distribution of diffusivities, at times shorter than the diffusivity correlation time. At longer times, a crossover to a Gaussian distribution with an effective diffusivity emerges. Specifically, we establish a subordination picture of Brownian but non-Gaussian diffusion processes, which can be used for a wide class of diffusivity fluctuation statistics. Our results are shown to be in excellent agreement with simulations and numerical evaluations.
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spelling doaj.art-68c63a7434ea473fba0493574ffd51f72022-12-21T20:45:14ZengAmerican Physical SocietyPhysical Review X2160-33082017-04-017202100210.1103/PhysRevX.7.021002Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing DiffusivitiesAleksei V. ChechkinFlavio SenoRalf MetzlerIgor M. SokolovA growing number of biological, soft, and active matter systems are observed to exhibit normal diffusive dynamics with a linear growth of the mean-squared displacement, yet with a non-Gaussian distribution of increments. Based on the Chubinsky-Slater idea of a diffusing diffusivity, we here establish and analyze a minimal model framework of diffusion processes with fluctuating diffusivity. In particular, we demonstrate the equivalence of the diffusing diffusivity process with a superstatistical approach with a distribution of diffusivities, at times shorter than the diffusivity correlation time. At longer times, a crossover to a Gaussian distribution with an effective diffusivity emerges. Specifically, we establish a subordination picture of Brownian but non-Gaussian diffusion processes, which can be used for a wide class of diffusivity fluctuation statistics. Our results are shown to be in excellent agreement with simulations and numerical evaluations.http://doi.org/10.1103/PhysRevX.7.021002
spellingShingle Aleksei V. Chechkin
Flavio Seno
Ralf Metzler
Igor M. Sokolov
Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
Physical Review X
title Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
title_full Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
title_fullStr Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
title_full_unstemmed Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
title_short Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities
title_sort brownian yet non gaussian diffusion from superstatistics to subordination of diffusing diffusivities
url http://doi.org/10.1103/PhysRevX.7.021002
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