Chou, Tom and Greenman, Chris D. (2016) A hierarchical kinetic theory of birth, death, and fission in age-structured interacting populations. Journal of Statistical Physics, 164 (1). pp. 49-76. ISSN 0022-4715
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Abstract
We study mathematical models describing the evolution of stochastic age-structured populations. After reviewing existing approaches, we develop a complete kinetic framework for age-structured interacting populations undergoing birth, death and fission processes in spatially dependent environments. We define the full probability density for the population-size age chart and find results under specific conditions. Connections with more classical models are also explicitly derived. In particular, we show that factorial moments for non-interacting processes are described by a natural generalization of the McKendrick-von Foerster equation, which describes mean-field deterministic behavior. Our approach utilizes mixed-type, multidimensional probability distributions similar to those employed in the study of gas kinetics and with terms that satisfy BBGKY-like equation hierarchies.
Item Type: | Article |
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Additional Information: | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Uncontrolled Keywords: | age structure,birth death process,kinetics,fission |
Faculty \ School: | Faculty of Science > School of Computing Sciences Faculty of Science > School of Natural Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology |
Related URLs: | |
Depositing User: | Pure Connector |
Date Deposited: | 23 May 2016 15:00 |
Last Modified: | 19 Apr 2023 23:52 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/59002 |
DOI: | 10.1007/s10955-016-1524-x |
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