Your browser doesn't support javascript.
loading
A Reaction-Diffusion Model with Spatially Inhomogeneous Delays.
Lou, Yijun; Wang, Feng-Bin.
Affiliation
  • Lou Y; Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Wang FB; Department of Natural Science in the Center for General Education, Chang Gung University, Guishan, Taoyuan, 333 Taiwan.
J Dyn Differ Equ ; : 1-16, 2023 Mar 28.
Article in En | MEDLINE | ID: mdl-37361726
ABSTRACT
Motivated by population growth in a heterogeneous environment, this manuscript builds a reaction-diffusion model with spatially dependent parameters. In particular, a term for spatially uneven maturation durations is included in the model, which puts the current investigation among the very few studies on reaction-diffusion systems with spatially dependent delays. Rigorous analysis is performed, including the well-posedness of the model, the basic reproduction ratio formulation and long-term behavior of solutions. Under mild assumptions on model parameters, extinction of the species is predicted when the basic reproduction ratio is less than one. When the birth rate is an increasing function and the basic reproduction ratio is greater than one, uniqueness and global attractivity of a positive equilibrium can be established with the help of a novel functional phase space. Permanence of the species is shown when the birth function is in a unimodal form and the basic reproduction ratio is greater than one. The synthesized approach proposed here is applicable to broader contexts of studies on the impact of spatial heterogeneity on population dynamics, in particular, when the delayed feedbacks are involved and the response time is spatially varying.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Dyn Differ Equ Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Dyn Differ Equ Year: 2023 Document type: Article Affiliation country: China
...