Well-Posedness for McKean-Vlasov SDEs Driven by Multiplicative Stable Noises

Fuente: arXiv
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Autori principali: Deng, Chang-Song, Huang, Xing
Natura: Preprint
Pubblicazione: 2024
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author Deng, Chang-Song
Huang, Xing
author_facet Deng, Chang-Song
Huang, Xing
contents We establish the well-posedness for a class of McKean-Vlasov SDEs driven by symmetric $α$-stable Lévy process ($1/2<α\leq1$), where the drift coefficient is Hölder continuous in space variable, while the noise coefficient is Lipscitz continuous in space variable, and both of them satisfy the Lipschitz condition in distribution variable with respect to Wasserstein distance. If the drift coefficient does not depend on distribution variable, our methodology developed in this paper applies to the case $α\in(0,1]$. The main tool relies on heat kernel estimates for (distribution independent) stable SDEs and Banach's fixed point theorem.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11384
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Well-Posedness for McKean-Vlasov SDEs Driven by Multiplicative Stable Noises
Deng, Chang-Song
Huang, Xing
Probability
We establish the well-posedness for a class of McKean-Vlasov SDEs driven by symmetric $α$-stable Lévy process ($1/2<α\leq1$), where the drift coefficient is Hölder continuous in space variable, while the noise coefficient is Lipscitz continuous in space variable, and both of them satisfy the Lipschitz condition in distribution variable with respect to Wasserstein distance. If the drift coefficient does not depend on distribution variable, our methodology developed in this paper applies to the case $α\in(0,1]$. The main tool relies on heat kernel estimates for (distribution independent) stable SDEs and Banach's fixed point theorem.
title Well-Posedness for McKean-Vlasov SDEs Driven by Multiplicative Stable Noises
topic Probability
url https://arxiv.org/abs/2401.11384