Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion

We consider a particular type of continuous time random walk where the jump lengths between subsequent waiting times are correlated. In a continuum limit, the process can be defined by an integrated Brownian motion subordinated by an inverse α-stable subordinator. We compute the mean square displace...

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Main Authors: Long Shi, Aiguo Xiao
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2017/7246865
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author Long Shi
Aiguo Xiao
author_facet Long Shi
Aiguo Xiao
author_sort Long Shi
collection DOAJ
description We consider a particular type of continuous time random walk where the jump lengths between subsequent waiting times are correlated. In a continuum limit, the process can be defined by an integrated Brownian motion subordinated by an inverse α-stable subordinator. We compute the mean square displacement of the proposed process and show that the process exhibits subdiffusion when 0<α<1/3, normal diffusion when α=1/3, and superdiffusion when 1/3<α<1. The time-averaged mean square displacement is also employed to show weak ergodicity breaking occurring in the proposed process. An extension to the fractional case is also considered.
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institution Kabale University
issn 1687-9120
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publishDate 2017-01-01
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spelling doaj-art-a10d3331dc4f49fe84855748afc4fb142025-02-03T00:58:53ZengWileyAdvances in Mathematical Physics1687-91201687-91392017-01-01201710.1155/2017/72468657246865Modeling Anomalous Diffusion by a Subordinated Integrated Brownian MotionLong Shi0Aiguo Xiao1School of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan 411105, ChinaSchool of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan 411105, ChinaWe consider a particular type of continuous time random walk where the jump lengths between subsequent waiting times are correlated. In a continuum limit, the process can be defined by an integrated Brownian motion subordinated by an inverse α-stable subordinator. We compute the mean square displacement of the proposed process and show that the process exhibits subdiffusion when 0<α<1/3, normal diffusion when α=1/3, and superdiffusion when 1/3<α<1. The time-averaged mean square displacement is also employed to show weak ergodicity breaking occurring in the proposed process. An extension to the fractional case is also considered.http://dx.doi.org/10.1155/2017/7246865
spellingShingle Long Shi
Aiguo Xiao
Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
Advances in Mathematical Physics
title Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
title_full Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
title_fullStr Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
title_full_unstemmed Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
title_short Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
title_sort modeling anomalous diffusion by a subordinated integrated brownian motion
url http://dx.doi.org/10.1155/2017/7246865
work_keys_str_mv AT longshi modelinganomalousdiffusionbyasubordinatedintegratedbrownianmotion
AT aiguoxiao modelinganomalousdiffusionbyasubordinatedintegratedbrownianmotion