On the Global Asymptotic Stability of an Infection‐Age‐Structured Competitive Model

ABSTRACT We investigate an infection‐age‐structured competitive epidemiological model involving multiple strains. While classical results establish competitive exclusion when a unique maximal basic reproduction number exists, we provide here a complete characterization of the asymptotic behavior for an arbitrary number of populations without assuming uniqueness of the maximal reproduction number. By means of integrated semigroups theory, persistence results, and Lyapunov functionals, we establish global asymptotic stability of equilibria and extend previous results obtained for simpler (ODE) models. A key contribution lies in overcoming technical difficulties related to the definition and differentiation of Lyapunov functionals, as well as in refining arguments based on the LaSalle invariance principle.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-09-14
DOI
https://doi.org/10.1002/mma.70967
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

On the Global Asymptotic Stability of an Infection‐Age‐Structured Competitive Model

Simon Girel, Quentin Richard
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
article

On the Global Asymptotic Stability of an Infection‐Age‐Structured Competitive Model

Simon Girel, Quentin Richard
article en

Abstract

ABSTRACT We investigate an infection‐age‐structured competitive epidemiological model involving multiple strains. While classical results establish competitive exclusion when a unique maximal basic reproduction number exists, we provide here a complete characterization of the asymptotic behavior for an arbitrary number of populations without assuming uniqueness of the maximal reproduction number. By means of integrated semigroups theory, persistence results, and Lyapunov functionals, we establish global asymptotic stability of equilibria and extend previous results obtained for simpler (ODE) models. A key contribution lies in overcoming technical difficulties related to the definition and differentiation of Lyapunov functionals, as well as in refining arguments based on the LaSalle invariance principle.

Mathematical Methods in the Applied Sciences
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Institut de Biologie Valrose (FR)
Reduced inequalities
Openalex Percentile: Top 72%
Mathematical and Theoretical Epidemiology and Ecology Models
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