Continuous-time random walks on networks with vertex- and time-dependent forcing
Article
Article Title | Continuous-time random walks on networks with vertex- and time-dependent forcing |
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ERA Journal ID | 1018 |
Article Category | Article |
Authors | Angstmann, C. N. (Author), Donnelly, I. C. (Author), Henry, B. I. (Author) and Langlands, T. A. M. (Author) |
Journal Title | Physical Review E |
Journal Citation | 88 (2) |
Number of Pages | 9 |
Year | 2013 |
Publisher | American Physical Society |
Place of Publication | United States |
ISSN | 1539-3755 |
1550-2376 | |
2470-0045 | |
2470-0053 | |
Digital Object Identifier (DOI) | https://doi.org/10.1103/PhysRevE.88.022811 |
Web Address (URL) | https://journals.aps.org/pre/abstract/10.1103/PhysRevE.88.022811 |
Abstract | We have investigated the transport of particles moving as random walks on the vertices of a network, subject to vertex- and time-dependent forcing. We have derived the generalized master equations for this transport using continuous time random walks, characterized by jump and waiting time densities, as the underlying stochastic process. The forcing is incorporated through a vertex- and time-dependent bias in the jump densities governing the random walking particles. As a particular case, we consider particle forcing proportional to the concentration of particles on adjacent vertices, analogous to self-chemotactic attraction in a spatial continuum. Our algebraic and numerical studies of this system reveal an interesting pair-aggregation pattern formation in which the steady state is composed of a high concentration of particles on a small number of isolated pairs of adjacent vertices. The steady states do not exhibit this pair aggregation if the transport is random on the vertices, i.e., without forcing. The manifestation of pair aggregation on a transport network may thus be a signature of self-chemotactic-like forcing. |
Keywords | Adjacent vertices; Continuous time random walks; continuous-time random walk; generalized master equations; isolated pairs; pattern formation; transport networks; transport of particles |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 490510. Stochastic analysis and modelling |
461399. Theory of computation not elsewhere classified | |
510703. Particle physics | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of New South Wales |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2156/continuous-time-random-walks-on-networks-with-vertex-and-time-dependent-forcing
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