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Age-Structured Population Dynamics with Nonlocal Diffusion
Random diffusive age-structured population models have been studied by many researchers. Though nonlocal diffusion processes are more applicable to many biological and physical problems compared with random diffusion processes, there are very few theoretical results on age-structured population mode...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299252/ https://www.ncbi.nlm.nih.gov/pubmed/32837120 http://dx.doi.org/10.1007/s10884-020-09860-5 |
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author | Kang, Hao Ruan, Shigui Yu, Xiao |
author_facet | Kang, Hao Ruan, Shigui Yu, Xiao |
author_sort | Kang, Hao |
collection | PubMed |
description | Random diffusive age-structured population models have been studied by many researchers. Though nonlocal diffusion processes are more applicable to many biological and physical problems compared with random diffusion processes, there are very few theoretical results on age-structured population models with nonlocal diffusion. In this paper our objective is to develop basic theory for age-structured population dynamics with nonlocal diffusion. In particular, we study the semigroup of linear operators associated to an age-structured model with nonlocal diffusion and use the spectral properties of its infinitesimal generator to determine the stability of the zero steady state. It is shown that (i) the structure of the semigroup for the age-structured model with nonlocal diffusion is essentially determined by that of the semigroups for the age-structured model without diffusion and the nonlocal operator when both birth and death rates are independent of spatial variables; (ii) the asymptotic behavior can be determined by the sign of spectral bound of the infinitesimal generator when both birth and death rates are dependent on spatial variables; (iii) the weak solution and comparison principle can be established when both birth and death rates are dependent on spatial variables and time; and (iv) the above results can be generalized to an age-size structured model. In addition, we compare our results with the age-structured model with Laplacian diffusion in the first two cases (i) and (ii). |
format | Online Article Text |
id | pubmed-7299252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-72992522020-06-18 Age-Structured Population Dynamics with Nonlocal Diffusion Kang, Hao Ruan, Shigui Yu, Xiao J Dyn Differ Equ Article Random diffusive age-structured population models have been studied by many researchers. Though nonlocal diffusion processes are more applicable to many biological and physical problems compared with random diffusion processes, there are very few theoretical results on age-structured population models with nonlocal diffusion. In this paper our objective is to develop basic theory for age-structured population dynamics with nonlocal diffusion. In particular, we study the semigroup of linear operators associated to an age-structured model with nonlocal diffusion and use the spectral properties of its infinitesimal generator to determine the stability of the zero steady state. It is shown that (i) the structure of the semigroup for the age-structured model with nonlocal diffusion is essentially determined by that of the semigroups for the age-structured model without diffusion and the nonlocal operator when both birth and death rates are independent of spatial variables; (ii) the asymptotic behavior can be determined by the sign of spectral bound of the infinitesimal generator when both birth and death rates are dependent on spatial variables; (iii) the weak solution and comparison principle can be established when both birth and death rates are dependent on spatial variables and time; and (iv) the above results can be generalized to an age-size structured model. In addition, we compare our results with the age-structured model with Laplacian diffusion in the first two cases (i) and (ii). Springer US 2020-06-15 2022 /pmc/articles/PMC7299252/ /pubmed/32837120 http://dx.doi.org/10.1007/s10884-020-09860-5 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kang, Hao Ruan, Shigui Yu, Xiao Age-Structured Population Dynamics with Nonlocal Diffusion |
title | Age-Structured Population Dynamics with Nonlocal Diffusion |
title_full | Age-Structured Population Dynamics with Nonlocal Diffusion |
title_fullStr | Age-Structured Population Dynamics with Nonlocal Diffusion |
title_full_unstemmed | Age-Structured Population Dynamics with Nonlocal Diffusion |
title_short | Age-Structured Population Dynamics with Nonlocal Diffusion |
title_sort | age-structured population dynamics with nonlocal diffusion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299252/ https://www.ncbi.nlm.nih.gov/pubmed/32837120 http://dx.doi.org/10.1007/s10884-020-09860-5 |
work_keys_str_mv | AT kanghao agestructuredpopulationdynamicswithnonlocaldiffusion AT ruanshigui agestructuredpopulationdynamicswithnonlocaldiffusion AT yuxiao agestructuredpopulationdynamicswithnonlocaldiffusion |