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

Xing Huang, Panpan Ren*, Feng-Yu Wang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Citation (Scopus)

Abstract

The Lk-Wasserstein distance W(k≥1) and the probability distance Wψ induced by a concave function ψ, are estimated between different diffusion processes with singular coefficients. As applications, the well-posedness, 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+Wψ)-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. © 2024 Elsevier Inc.
Original languageEnglish
Pages (from-to)376-399
JournalJournal of Differential Equations
Volume420
Online published18 Dec 2024
DOIs
Publication statusPublished - 5 Mar 2025

Research Keywords

  • Diffusion processes
  • Log-Harnack inequality
  • Probability distance

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