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Autori principali: Fetecau, Razvan C., Huang, Hui, Qiu, Jinniao
Natura: Preprint
Pubblicazione: 2023
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Accesso online:https://arxiv.org/abs/2304.02130
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author Fetecau, Razvan C.
Huang, Hui
Qiu, Jinniao
author_facet Fetecau, Razvan C.
Huang, Hui
Qiu, Jinniao
contents We investigate a general class of models for swarming/self-collective behaviour in domains with boundaries. The model is expressed as a stochastic system of interacting particles subject to both reflecting boundary condition and common environmental noise. We rigorously derive its corresponding macroscopic mean-field equation, which is a new type of stochastic partial differential equation due to the presence of common noise. The approach relies on a compactness argument, in which we first establish the tightness of the empirical measures associated with the particle system and then demonstrate that the time marginal of the limit measure is a solution to the mean-field equation.
format Preprint
id arxiv_https___arxiv_org_abs_2304_02130
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Swarming models with specular boundary condition and environmental noise
Fetecau, Razvan C.
Huang, Hui
Qiu, Jinniao
Probability
Analysis of PDEs
Dynamical Systems
We investigate a general class of models for swarming/self-collective behaviour in domains with boundaries. The model is expressed as a stochastic system of interacting particles subject to both reflecting boundary condition and common environmental noise. We rigorously derive its corresponding macroscopic mean-field equation, which is a new type of stochastic partial differential equation due to the presence of common noise. The approach relies on a compactness argument, in which we first establish the tightness of the empirical measures associated with the particle system and then demonstrate that the time marginal of the limit measure is a solution to the mean-field equation.
title Swarming models with specular boundary condition and environmental noise
topic Probability
Analysis of PDEs
Dynamical Systems
url https://arxiv.org/abs/2304.02130