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A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time

In continuum one-dimensional space, a coupled directed continuous time random walk model is proposed, where the random walker jumps toward one direction and the waiting time between jumps affects the subsequent jump. In the proposed model, the Laplace-Laplace transform of the probability density fun...

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Detalles Bibliográficos
Autores principales: Shi, Long, Yu, Zuguo, Mao, Zhi, Xiao, Aiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976852/
https://www.ncbi.nlm.nih.gov/pubmed/24757412
http://dx.doi.org/10.1155/2014/182508
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author Shi, Long
Yu, Zuguo
Mao, Zhi
Xiao, Aiguo
author_facet Shi, Long
Yu, Zuguo
Mao, Zhi
Xiao, Aiguo
author_sort Shi, Long
collection PubMed
description In continuum one-dimensional space, a coupled directed continuous time random walk model is proposed, where the random walker jumps toward one direction and the waiting time between jumps affects the subsequent jump. In the proposed model, the Laplace-Laplace transform of the probability density function P(x, t) of finding the walker at position x at time t is completely determined by the Laplace transform of the probability density function φ(t) of the waiting time. In terms of the probability density function of the waiting time in the Laplace domain, the limit distribution of the random process and the corresponding evolving equations are derived.
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spelling pubmed-39768522014-04-22 A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time Shi, Long Yu, Zuguo Mao, Zhi Xiao, Aiguo ScientificWorldJournal Research Article In continuum one-dimensional space, a coupled directed continuous time random walk model is proposed, where the random walker jumps toward one direction and the waiting time between jumps affects the subsequent jump. In the proposed model, the Laplace-Laplace transform of the probability density function P(x, t) of finding the walker at position x at time t is completely determined by the Laplace transform of the probability density function φ(t) of the waiting time. In terms of the probability density function of the waiting time in the Laplace domain, the limit distribution of the random process and the corresponding evolving equations are derived. Hindawi Publishing Corporation 2014-03-13 /pmc/articles/PMC3976852/ /pubmed/24757412 http://dx.doi.org/10.1155/2014/182508 Text en Copyright © 2014 Long Shi et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shi, Long
Yu, Zuguo
Mao, Zhi
Xiao, Aiguo
A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title_full A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title_fullStr A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title_full_unstemmed A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title_short A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
title_sort directed continuous time random walk model with jump length depending on waiting time
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976852/
https://www.ncbi.nlm.nih.gov/pubmed/24757412
http://dx.doi.org/10.1155/2014/182508
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