Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk

In this work, a generalization of continuous time random walk is considered, where the waiting times among the subsequent jumps are power-law correlated with kernel function M(t)=tρ(ρ>-1). In a continuum limit, the correlated continuous time random walk converges in distribution a subordinated pr...

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Main Author: Long Shi
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2019/3479715
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author Long Shi
author_facet Long Shi
author_sort Long Shi
collection DOAJ
description In this work, a generalization of continuous time random walk is considered, where the waiting times among the subsequent jumps are power-law correlated with kernel function M(t)=tρ(ρ>-1). In a continuum limit, the correlated continuous time random walk converges in distribution a subordinated process. The mean square displacement of the proposed process is computed, which is of the form 〈x2(t)〉∝tH=t1/(1+ρ+1/α). The anomy exponent H varies from α to α/(1+α) when -1<ρ<0 and from α/(1+α) to 0 when ρ>0. The generalized diffusion equation of the process is also derived, which has a unified form for the above two cases.
format Article
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institution Kabale University
issn 1687-9120
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publishDate 2019-01-01
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series Advances in Mathematical Physics
spelling doaj-art-645c1a1d8059459b9a1dc6372c0903db2025-02-03T00:58:56ZengWileyAdvances in Mathematical Physics1687-91201687-91392019-01-01201910.1155/2019/34797153479715Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random WalkLong Shi0School of Science, Hunan Institute of Engineering, Xiangtan, Hunan 411104, ChinaIn this work, a generalization of continuous time random walk is considered, where the waiting times among the subsequent jumps are power-law correlated with kernel function M(t)=tρ(ρ>-1). In a continuum limit, the correlated continuous time random walk converges in distribution a subordinated process. The mean square displacement of the proposed process is computed, which is of the form 〈x2(t)〉∝tH=t1/(1+ρ+1/α). The anomy exponent H varies from α to α/(1+α) when -1<ρ<0 and from α/(1+α) to 0 when ρ>0. The generalized diffusion equation of the process is also derived, which has a unified form for the above two cases.http://dx.doi.org/10.1155/2019/3479715
spellingShingle Long Shi
Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
Advances in Mathematical Physics
title Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
title_full Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
title_fullStr Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
title_full_unstemmed Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
title_short Generalized Diffusion Equation Associated with a Power-Law Correlated Continuous Time Random Walk
title_sort generalized diffusion equation associated with a power law correlated continuous time random walk
url http://dx.doi.org/10.1155/2019/3479715
work_keys_str_mv AT longshi generalizeddiffusionequationassociatedwithapowerlawcorrelatedcontinuoustimerandomwalk