title: Derivation of stochastic partial differential equations for size- and age-structured populations.
abstract: Stochastic partial differential equations (SPDEs) for size-structured and age- and size-structured populations are derived from basic principles, i.e. from the changes that occur in a small time interval. Discrete stochastic models of size-structured and age-structured populations are constructed, carefully taking into account the inherent randomness in births, deaths, and size changes. As the time interval decreases, the discrete stochastic models lead to systems of Itô stochastic differential equations. As the size and age intervals decrease, SPDEs are derived for size-structured and age- and size-structured populations. Comparisons between numerical solutions of the SPDEs and independently formulated Monte Carlo calculations support the accuracy of the derivations.
authors.affiliation: Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA. edward.allen@ttu.edu
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Allen
mesh_terms: D000375:Aging / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D009010:Monte Carlo Method; D011156:Population Density; D011157:Population Dynamics; D013269:Stochastic Processes; D013997:Time Factors