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.
Original language | English |
---|---|
Pages (from-to) | 49-76 |
Number of pages | 28 |
Journal | Journal of Statistical Physics |
Volume | 164 |
Issue number | 1 |
Early online date | 14 May 2016 |
DOIs | |
Publication status | Published - Jul 2016 |
Keywords
- Age Structure
- Birth Death Process
- Kinetics
- Fission
Profiles
-
Christopher Greenman
- School of Computing Sciences - Lecturer
- Centre for Photonics and Quantum Science - Member
- Computational Biology - Member
Person: Research Group Member, Academic, Teaching & Research