Equivalence by coupling for heterogeneous SIS models*

Fuente: arXiv
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Main Authors: Delmas, Jean-François, Dronnier, Dylan, Zitt, Pierre-André
Format: Preprint
Published: 2025
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author Delmas, Jean-François
Dronnier, Dylan
Zitt, Pierre-André
author_facet Delmas, Jean-François
Dronnier, Dylan
Zitt, Pierre-André
contents We consider the optimal allocation of (perfect) vaccine in an heterogeneous SIS model. Using a coupling approach, we explain how different models for the heterogeneity of the population lead to the same Pareto frontier in the cost/loss valuation of the vaccinations strategies. This covers in particular the elementary continuous representation of discrete models and the measure preserving transformation which appears in graphon theory.
format Preprint
id arxiv_https___arxiv_org_abs_2509_04898
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Equivalence by coupling for heterogeneous SIS models*
Delmas, Jean-François
Dronnier, Dylan
Zitt, Pierre-André
Probability
We consider the optimal allocation of (perfect) vaccine in an heterogeneous SIS model. Using a coupling approach, we explain how different models for the heterogeneity of the population lead to the same Pareto frontier in the cost/loss valuation of the vaccinations strategies. This covers in particular the elementary continuous representation of discrete models and the measure preserving transformation which appears in graphon theory.
title Equivalence by coupling for heterogeneous SIS models*
topic Probability
url https://arxiv.org/abs/2509.04898