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Age-Structured Population Dynamics with Nonlocal Diffusion.
Kang, Hao; Ruan, Shigui; Yu, Xiao.
Afiliación
  • Kang H; Department of Mathematics, University of Miami, Coral Gables, FL 33146 USA.
  • Ruan S; Department of Mathematics, University of Miami, Coral Gables, FL 33146 USA.
  • Yu X; School of Mathematical Sciences, South China Normal University, Guangzhou, 510631 Guangdong People's Republic of China.
J Dyn Differ Equ ; 34(2): 789-823, 2022.
Article en En | MEDLINE | ID: mdl-32837120
ABSTRACT
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).
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Dyn Differ Equ Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Dyn Differ Equ Año: 2022 Tipo del documento: Article