Conditional McKean-Vlasov Differential Equations with Common Poissonian Noise: Propagation of Chaos

Fuente: arXiv
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Main Authors: Hernández-Hernández, Daniel, Ricalde-Guerrero, Joshué Helí
Format: Preprint
Published: 2023
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author Hernández-Hernández, Daniel
Ricalde-Guerrero, Joshué Helí
author_facet Hernández-Hernández, Daniel
Ricalde-Guerrero, Joshué Helí
contents A model for the evolution of a large population interacting system is considered in which a marked Poisson processes influences their evolution, together with a Brownian motion. Mean field McKean-Vlasov limits of such system are formulated studying first both systems individually. Letting the population size growing to infinite, the weak convergence of the solutions of such systems is proved; in other words, propagation of chaos of such systems is obtained.
format Preprint
id arxiv_https___arxiv_org_abs_2308_11564
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Conditional McKean-Vlasov Differential Equations with Common Poissonian Noise: Propagation of Chaos
Hernández-Hernández, Daniel
Ricalde-Guerrero, Joshué Helí
Probability
35Q70, 60B10, 60K35, 65C35, 82C22
A model for the evolution of a large population interacting system is considered in which a marked Poisson processes influences their evolution, together with a Brownian motion. Mean field McKean-Vlasov limits of such system are formulated studying first both systems individually. Letting the population size growing to infinite, the weak convergence of the solutions of such systems is proved; in other words, propagation of chaos of such systems is obtained.
title Conditional McKean-Vlasov Differential Equations with Common Poissonian Noise: Propagation of Chaos
topic Probability
35Q70, 60B10, 60K35, 65C35, 82C22
url https://arxiv.org/abs/2308.11564