McKean-Vlasov SDEs with Singular Coefficients and Distribution Dependent Noise: Well-posedness and Regularity

Fuente: arXiv
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Main Author: Huang, Xing
Format: Preprint
Published: 2023
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author Huang, Xing
author_facet Huang, Xing
contents The well-posedness for SDEs with singularity in both space and distribution variables is derived, where the interacting drift term is bounded and Lipschitz continuous under total variation distance and the diffusion term is allowed to be Lipschitz continuous under $L^η$($η\in(0,1]$)-Wasserstein distance in the distribution variable. When the diffusion term is Lipschitz continuous under $L^k$-Wasserstein distance for some $k\geq 1$, the regularity estimate $$\|P_t^\astγ^1-P_t^\astγ^2\|_{var}\leq ct^{-\frac{1}{2}}\W_{k}(γ^1,γ^2),\ \ t\in(0,T]$$ is established. This improves the results in \cite[Theorem 1.3]{HRWJDE}.
format Preprint
id arxiv_https___arxiv_org_abs_2302_05845
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle McKean-Vlasov SDEs with Singular Coefficients and Distribution Dependent Noise: Well-posedness and Regularity
Huang, Xing
Probability
The well-posedness for SDEs with singularity in both space and distribution variables is derived, where the interacting drift term is bounded and Lipschitz continuous under total variation distance and the diffusion term is allowed to be Lipschitz continuous under $L^η$($η\in(0,1]$)-Wasserstein distance in the distribution variable. When the diffusion term is Lipschitz continuous under $L^k$-Wasserstein distance for some $k\geq 1$, the regularity estimate $$\|P_t^\astγ^1-P_t^\astγ^2\|_{var}\leq ct^{-\frac{1}{2}}\W_{k}(γ^1,γ^2),\ \ t\in(0,T]$$ is established. This improves the results in \cite[Theorem 1.3]{HRWJDE}.
title McKean-Vlasov SDEs with Singular Coefficients and Distribution Dependent Noise: Well-posedness and Regularity
topic Probability
url https://arxiv.org/abs/2302.05845