Stepanov oscillatory type solutions for renewal equations with infinite delay: Application to an epidemic model with waning immunity

We establish a new result on the reduction principle for nonhomogeneous autonomous linear renewal equations with the forcing term bounded by mean values.This result is then used, together with a variation of constants formula, to prove Stepanov's version of Massera and Bohr-Neugebauer-type results.We also investigate uniqueness conditions in both the linear and nonlinear cases.Finally, we apply our theoretical results to an epidemic model with waning immunity.

Publication Details

Journal
Applied Set-Valued Analysis and Optimization
Published
2025-05-14
DOI
https://doi.org/10.23952/asvao.8.2026.1.01
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Stepanov oscillatory type solutions for renewal equations with infinite delay: Application to an epidemic model with waning immunity

Applied Set-Valued Analysis and Optimization
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stepanov oscillatory type solutions for renewal equations with infinite delay: Application to an epidemic model with waning immunity

article en

Abstract

We establish a new result on the reduction principle for nonhomogeneous autonomous linear renewal equations with the forcing term bounded by mean values.This result is then used, together with a variation of constants formula, to prove Stepanov's version of Massera and Bohr-Neugebauer-type results.We also investigate uniqueness conditions in both the linear and nonlinear cases.Finally, we apply our theoretical results to an epidemic model with waning immunity.

Applied Set-Valued Analysis and OptimizationVol. 8(1)
Good health and well-being
Openalex Percentile: Top 86%
Mathematical and Theoretical Epidemiology and Ecology Models
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Stepanov oscillatory type solutions for renewal equations with infinite delay: Application to an epidemic model with waning immunity · Applied Set-Valued Analysis and Optimization (2025) | TGRS Research Map | TGRS