The escalator boxcar train method for a system of aged-structured equations in the space of measures
File(s)EBT-Convergence-Age_struct_two_sex_pop_model.pdf (734.15 KB)
Accepted version
Author(s)
Carrillo de la Plata, Jose Antonio
Gwiazda, Piotr
Kropielnicka, Karolina
Marciniak-Czochra, Anna
Type
Journal Article
Abstract
The Escalator Boxcar Train (EBT) numerical method has been designed and widely used by theoretical biologists to compute solutions of one-dimensional structured population models of McKendrick-von Foerster type. Recently the method has been derived for age-structured two-sex population model (Fredrickson-Hoppensteadt model), which consists of three coupled hyperbolic partial differential equations with nonlocal boundary conditions. The convergence of the EBT method for Fredrickson-Hoppensteadt model has not been analysed, and relevant numerical examples are still missing. In this paper, we derive a simplified EBT method for the "two-sex model", and prove its convergence. However due to the interest in tracking specified cohorts of individuals, the analytical results cannot be analysed in L1 norm. Instead we embedded the problem in the space of nonnegative Radon measures equipped with the bounded Lipschitz distance (flat metric). We also present numerical examples to illustrate the results, compute the error in bounded Lipschitz distance and compare it against the total variation (TV) distance.
Date Issued
2019-07-30
Date Acceptance
2019-04-09
Citation
SIAM Journal on Numerical Analysis, 2019, 57 (4), pp.1842-1844
ISSN
0036-1429
Publisher
Society for Industrial and Applied Mathematics
Start Page
1842
End Page
1844
Journal / Book Title
SIAM Journal on Numerical Analysis
Volume
57
Issue
4
Copyright Statement
© 2019, Society for Industrial and Applied Mathematics
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/P031587/1
Subjects
Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
particle method
Escalator Boxcar Train
structured population models
two-sex population models
system of equations
measure-valued solutions
PARTICLE METHODS
PAIR-FORMATION
POPULATION-MODELS
CONVERGENCE
EVOLUTION
Numerical & Computational Mathematics
0103 Numerical and Computational Mathematics
0102 Applied Mathematics
0101 Pure Mathematics
Publication Status
Published
Date Publish Online
2019-07-30