Mean-Field Control for Diffusion Aggregation system with Coulomb Interaction

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Chen, Li, Wang, Yucheng, Wang, Zhao
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866916444085682176
author Chen, Li
Wang, Yucheng
Wang, Zhao
author_facet Chen, Li
Wang, Yucheng
Wang, Zhao
contents The mean-field control problem for a multi-dimensional diffusion-aggregation system with Coulomb interaction (the so called parabolic elliptic Keller-Segel system) is considered. The existence of optimal control is proved through the $Γ$-convergence of the corresponding control problem of the interacting particle system. There are three building blocks in the whole argument. Firstly, for the optimal control problem on the particle level, instead of using classical method for stochastic system, we study directly the control problem of high-dimensional parabolic equation, i.e. the Liouville equation of it. Secondly, we obtain a strong propagation of chaos result for the interacting particle system by combining the convergence in probability and relative entropy method. Due to this strong mean field limit result, we avoid giving compact support requirement for control functions, which has been often used in the literature. Thirdly, because of strong aggregation effect, additional difficulties arise from control function in obtaining the well-posedness theory of the diffusion-aggregation equation, so that the known method cannot be directly applied. Instead, we use a combination of local existence result and bootstrap argument to obtain the global solution in the sub-critical regime.
format Preprint
id arxiv_https___arxiv_org_abs_2407_12936
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mean-Field Control for Diffusion Aggregation system with Coulomb Interaction
Chen, Li
Wang, Yucheng
Wang, Zhao
Optimization and Control
Analysis of PDEs
The mean-field control problem for a multi-dimensional diffusion-aggregation system with Coulomb interaction (the so called parabolic elliptic Keller-Segel system) is considered. The existence of optimal control is proved through the $Γ$-convergence of the corresponding control problem of the interacting particle system. There are three building blocks in the whole argument. Firstly, for the optimal control problem on the particle level, instead of using classical method for stochastic system, we study directly the control problem of high-dimensional parabolic equation, i.e. the Liouville equation of it. Secondly, we obtain a strong propagation of chaos result for the interacting particle system by combining the convergence in probability and relative entropy method. Due to this strong mean field limit result, we avoid giving compact support requirement for control functions, which has been often used in the literature. Thirdly, because of strong aggregation effect, additional difficulties arise from control function in obtaining the well-posedness theory of the diffusion-aggregation equation, so that the known method cannot be directly applied. Instead, we use a combination of local existence result and bootstrap argument to obtain the global solution in the sub-critical regime.
title Mean-Field Control for Diffusion Aggregation system with Coulomb Interaction
topic Optimization and Control
Analysis of PDEs
url https://arxiv.org/abs/2407.12936