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Hauptverfasser: Bao, Jianhai, Hao, Jiaqing
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2405.04047
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author Bao, Jianhai
Hao, Jiaqing
author_facet Bao, Jianhai
Hao, Jiaqing
contents Via constructing an asymptotic coupling by reflection, in this paper we establish uniform-in-time estimates on probability distances for mean-field type SDEs, where the drift terms under consideration are dissipative merely in the long distance. As applications, we (i) explore the long time probability distance estimate between an SDE and its delay version; (ii) investigate the issue on uniform-in-time propagation of chaos for McKean-Vlasov SDEs, where the drifts might be singular with respect to the spatial variables and need not to be of convolution type; (iii) tackle the discretization error bounds in an infinite-time horizon for stochastic algorithms (e.g. backward/tamed/adaptive Euler-Maruyama schemes as three typical candidates) associated with McKean-Vlasov SDEs.
format Preprint
id arxiv_https___arxiv_org_abs_2405_04047
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Uniform-in-time estimates for mean-field type SDEs and applications
Bao, Jianhai
Hao, Jiaqing
Probability
Via constructing an asymptotic coupling by reflection, in this paper we establish uniform-in-time estimates on probability distances for mean-field type SDEs, where the drift terms under consideration are dissipative merely in the long distance. As applications, we (i) explore the long time probability distance estimate between an SDE and its delay version; (ii) investigate the issue on uniform-in-time propagation of chaos for McKean-Vlasov SDEs, where the drifts might be singular with respect to the spatial variables and need not to be of convolution type; (iii) tackle the discretization error bounds in an infinite-time horizon for stochastic algorithms (e.g. backward/tamed/adaptive Euler-Maruyama schemes as three typical candidates) associated with McKean-Vlasov SDEs.
title Uniform-in-time estimates for mean-field type SDEs and applications
topic Probability
url https://arxiv.org/abs/2405.04047