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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Online Access: | http://dx.doi.org/10.1155/2014/182508 |
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doaj-8e9297a3da6d4694b631f27f3d6a56e42020-11-24T21:50:57ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/182508182508A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting TimeLong Shi0Zuguo Yu1Zhi Mao2Aiguo Xiao3Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, ChinaHunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, ChinaHunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, ChinaHunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan 411105, ChinaIn 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.http://dx.doi.org/10.1155/2014/182508 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Long Shi Zuguo Yu Zhi Mao Aiguo Xiao |
spellingShingle |
Long Shi Zuguo Yu Zhi Mao Aiguo Xiao A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time The Scientific World Journal |
author_facet |
Long Shi Zuguo Yu Zhi Mao Aiguo Xiao |
author_sort |
Long Shi |
title |
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_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_sort |
directed continuous time random walk model with jump length depending on waiting time |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
2356-6140 1537-744X |
publishDate |
2014-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2014/182508 |
work_keys_str_mv |
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1725881446607880192 |