We consider a simple stochastic N -particle system, already studied by the same authors in Ciallella et al (2021b), representing different populations of agents. Each agent has a label describing his state of health. We show rigorously that, in the limit N → ∞, propagation of chaos holds, leading to a set of kinetic equations which are a spatially inhomogeneous version of the classical SIR model. We improve a similar result obtained in Ciallella et al (2021b) by using here a different coupling technique, which makes the analysis simpler, more natural and transparent.

Propagation of chaos for a stochastic particle system modelling epidemics / Ciallella, A; Pulvirenti, M; Simonella, S. - (2022). - ADVANCED STRUCTURED MATERIALS.

Propagation of chaos for a stochastic particle system modelling epidemics

Simonella S
2022

Abstract

We consider a simple stochastic N -particle system, already studied by the same authors in Ciallella et al (2021b), representing different populations of agents. Each agent has a label describing his state of health. We show rigorously that, in the limit N → ∞, propagation of chaos holds, leading to a set of kinetic equations which are a spatially inhomogeneous version of the classical SIR model. We improve a similar result obtained in Ciallella et al (2021b) by using here a different coupling technique, which makes the analysis simpler, more natural and transparent.
2022
Theoretical Analyses, Computations, and Experiments of Multiscale Materials
Multi–agent stochastic systems; epidemiological behavior; propagation of chaos; coupling
02 Pubblicazione su volume::02a Capitolo o Articolo
Propagation of chaos for a stochastic particle system modelling epidemics / Ciallella, A; Pulvirenti, M; Simonella, S. - (2022). - ADVANCED STRUCTURED MATERIALS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1675458
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