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Input-to-state stability and Lyapunov functions with explicit domains for SIR model of infectious diseases

Hiroshi Ito

2020Discrete and Continuous Dynamical Systems - B25 citationsDOIOpen Access PDF

Abstract

<p style='text-indent:20px;'>This paper demonstrates input-to-state stability (ISS) of the SIR model of infectious diseases with respect to the disease-free equilibrium and the endemic equilibrium. Lyapunov functions are constructed to verify that both equilibria are individually robust with respect to perturbation of newborn/immigration rate which determines the eventual state of populations in epidemics. The construction and analysis are geometric and global in the space of the populations. In addition to the establishment of ISS, this paper shows how explicitly the constructed level sets reflect the flow of trajectories. Essential obstacles and keys for the construction of Lyapunov functions are elucidated. The proposed Lyapunov functions which have strictly negative derivative allow us to not only establish ISS, but also get rid of the use of LaSalle's invariance principle and popular simplifying assumptions.

Topics & Concepts

Lyapunov functionInvariance principleEpidemic modelPerturbation (astronomy)MathematicsApplied mathematicsStability theoryStability (learning theory)State (computer science)Computer scienceAlgorithmPhysicsEpistemologySociologyNonlinear systemDemographyPhilosophyQuantum mechanicsPopulationMachine learningMathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studiesEvolution and Genetic Dynamics