Probability distance estimates between diffusion processes and applications to singular McKean-Vlasov SDEs

被引:1
作者
Huang, Xing [1 ]
Ren, Panpan [2 ]
Wang, Feng-Yu [1 ]
机构
[1] Tianjin Univ, Ctr Appl Math, Tianjin 300072, Peoples R China
[2] City Univ Hong Kong, Dept Math, Tat Chee Ave, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Probability distance; Diffusion processes; Log-Harnack inequality; STOCHASTIC DIFFERENTIAL-EQUATIONS; DISTRIBUTION DEPENDENT SDES;
D O I
10.1016/j.jde.2024.12.016
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The Lk-Wasserstein distance Wk(k >= 1) and the probability distance W psi induced by a concave function psi, are estimated between different diffusion processes with singular coefficients. As applications, the wellposedness, probability distance estimates and the log-Harnack inequality are derived for McKean-Vlasov SDEs with multiplicative distribution dependent noise, where the coefficients are singular in time-space variables and (Wk + W psi)-Lipschitz continuous in the distribution variable. This improves existing results derived in the literature under the Wk-Lipschitz or derivative conditions in the distribution variable. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:376 / 399
页数:24
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