Spectral Theory of Fractional Cooperative Systems and Threshold Dynamics in Epidemic Models
Cong-Bang Trang, Hoang-Hung Vo

TL;DR
This paper develops spectral theory for fractional cooperative epidemic models, establishing eigenvalue criteria and analyzing long-term dynamics, thereby advancing understanding of nonlocal diffusion effects in disease spread.
Contribution
It introduces a spectral framework for fractional cooperative systems, providing eigenvalue criteria, variational characterizations, and long-term behavior analysis of epidemic models.
Findings
Established existence and simplicity of principal eigenvalue.
Derived asymptotic behavior of eigenvalues with respect to parameters.
Demonstrated threshold dynamics for epidemic solutions.
Abstract
Spectral analysis has long been recognized as a fundamental tool for studying the existence, uniqueness, and qualitative behavior of solutions to semilinear elliptic and parabolic equations, as well as their long-time dynamics. In modern mathematics, fractional Laplacians are widely used to model nonlocal or long-range diffusion processes arising in biology, including anomalous movement, long-distance dispersal, and Levy-flight migration of organisms, cells, and epidemics. In this paper, we employ the spectral fractional Laplacian introduced by Caffarelli and Stinga (2016) to develop the eigentheory for a cooperative system describing an infectious epidemic process and to analyze its long-term behavior. Using Fredholm theory and related analytical techniques, building in part on ideas of Lam and Lou (2016), we establish a sharp criterion ensuring the existence and simplicity of the…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Fractional Differential Equations Solutions · Mathematical Biology Tumor Growth
