Conditional McKean–Vlasov differential equations with common poissonian noise: Propagation of chaos

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. By 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.

Authors

Institutions

Publication Details

Journal
Stochastics and Dynamics
Published
2025-11-07
DOI
https://doi.org/10.1142/s0219493725500339
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conditional McKean–Vlasov differential equations with common poissonian noise: Propagation of chaos

Daniel Hernández–Hernández, Joshue Heli Ricalde Guerrero
1 citations
Stochastics and Dynamics
Mathematical Biology Tumor Growth
1.37
article

Conditional McKean–Vlasov differential equations with common poissonian noise: Propagation of chaos

Daniel Hernández–Hernández, Joshue Heli Ricalde Guerrero
article en
1 citations

Abstract

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. By 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.

Stochastics and DynamicsVol. 25(07n08)
Mathematics Research Center (MX)
Openalex Percentile: Top 15%
Mathematical Biology Tumor Growth
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.