Numerical Approximation of a Nonlinear Age-Structured Population Model with Finite Life-Span

Abstract We introduce a numerical method which is developed to approach the solution to a nonlinear age-structured population model with a finite life-span. The new scheme employs given numerical approximations to the intrinsic survival probability to set a full discretization of the problem, in which the numerical approach to the age-specific density of the population is separated from the difficulties arising due to the singular mortality rate. Its convergence is completely established without an explicit dependence on the asymptotic behaviour of the natural mortality rate near the maximum age. We include a numerical experimentation that confirms numerically the second-order convergence of the approximations provided by the corresponding theorems.

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Journal
Journal of Scientific Computing
Published
2025-08-19
DOI
https://doi.org/10.1007/s10915-025-03025-6
Primary Topic
Mathematical Biology Tumor Growth
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article
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0.00

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article

Numerical Approximation of a Nonlinear Age-Structured Population Model with Finite Life-Span

J.C. López-Marcos, L.M. Abia, O. Angulo, M.A. López-Marcos
2 links
Journal of Scientific Computing
Mathematical Biology Tumor Growth
article

Numerical Approximation of a Nonlinear Age-Structured Population Model with Finite Life-Span

J.C. López-Marcos, L.M. Abia, O. Angulo, M.A. López-Marcos
article en

Abstract

Abstract We introduce a numerical method which is developed to approach the solution to a nonlinear age-structured population model with a finite life-span. The new scheme employs given numerical approximations to the intrinsic survival probability to set a full discretization of the problem, in which the numerical approach to the age-specific density of the population is separated from the difficulties arising due to the singular mortality rate. Its convergence is completely established without an explicit dependence on the asymptotic behaviour of the natural mortality rate near the maximum age. We include a numerical experimentation that confirms numerically the second-order convergence of the approximations provided by the corresponding theorems.

Journal of Scientific ComputingVol. 105(1)
Universidad de Valladolid (ES)
Universidad de Valladolid, Junta de Castilla y León, Agencia Estatal de Investigación
Openalex Percentile: Top 75%
Mathematical Biology Tumor Growth
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Numerical Approximation of a Nonlinear Age-Structured Population Model with Finite Life-Span — J.C. López-Marcos, L.M. Abia, et al. · Journal of Scientific Computing (2025) | TGRS Research Map | TGRS