Asymptotic behavior of the basic reproduction ratio for periodic reaction-diffusion systems
Lei Zhang, Xiao-Qiang Zhao

TL;DR
This paper analyzes how the basic reproduction ratio in periodic reaction-diffusion systems behaves asymptotically as diffusion coefficients become very small or large, providing insights into disease spread modeling.
Contribution
It establishes the continuity of the basic reproduction ratio and characterizes its asymptotic limits for large and small diffusion coefficients in periodic systems.
Findings
Reproduction ratio is continuous with respect to parameters.
Asymptotic limits of the principal eigenvalue are characterized.
Behavior of positive periodic solutions is described for large diffusion.
Abstract
This paper is devoted to the study of asymptotic behavior of the basic reproduction ratio for periodic reaction-diffusion systems in the case of small and large diffusion coefficients. We first establish the continuity of the basic reproduction ratio with respect to parameters by developing the theory of resolvent positive operators. Then we investigate the limiting profile of the principal eigenvalue of an associated periodic eigenvalue problem for large diffusion coefficients. We then obtain the asymptotic behavior of the basic reproduction ratio as the diffusion coefficients go to zero and infinity, respectively. We also investigate the limiting behavior of positive periodic solution for periodic and cooperative reaction-diffusion systems with the Neumann boundary condition when the diffusion coefficients are large enough. Finally, we apply these results to a reaction-diffusion model…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Differential Equations Analysis · Advanced Mathematical Modeling in Engineering
