McKean-Vlasov stochastic partial differential equations: existence, uniqueness and propagation of chaos

• 成果类型: Article; Early Access
• 署名作者: Hong, Wei; Li, Shihu; Liu, Wei
• 署名单位: Jiangsu Normal University
• 刊物名称: PROBABILITY THEORY AND RELATED FIELDS
• ISSN/ISSBN: 0178-8051
• DOI: 10.1007/s00440-025-01413-5
• 发表日期: 2025
• 关键词: distribution dependent sdes; Navier-Stokes equations; mean-field limit; abstract framework; well-posedness; systems; MODEL; DYNAMICS; BEHAVIOR; driven

摘要

In this paper, we provide a general framework for investigating McKean-Vlasov stochastic partial differential equations. We first show the existence of weak solutions by combining the localizing approximation, Faedo-Galerkin technique, compactness method and the Jakubowski version of the Skorokhod representation theorem. Then under certain locally monotone condition we further investigate the existence and uniqueness of (probabilistically) strong solutions. The applications of the main results include a large class of McKean-Vlasov stochastic partial differential equations such as stochastic 2D/3D Navier-Stokes equations, stochastic Cahn-Hilliard equations and stochastic Kuramoto-Sivashinsky equations. Finally, we show a propagation of chaos result in Wasserstein distance for weakly interacting stochastic 2D Navier-Stokes systems.