arXiv Analytics

Sign in

arXiv:2004.03325 [math.PR]AbstractReferencesReviewsResources

First order convergence of Milstein schemes for McKean equations and interacting particle systems

Jianhai Bao, Christoph Reisinger, Panpan Ren, Wolfgang Stockinger

Published 2020-04-07Version 1

In this paper, we derive fully implementable first order time-stepping schemes for McKean stochastic differential equations (McKean SDEs), allowing for a drift term with super-linear growth in the state component. We propose Milstein schemes for a time-discretised interacting particle system associated with the McKean equation and prove strong convergence of order 1 and moment stability, taming the drift if only a one-sided Lipschitz condition holds. To derive our main results on strong convergence rates, we make use of calculus on the space of probability measures with finite second order moments. In addition, numerical examples are presented which support our theoretical findings.

Comments: 27 pages, 7 figures, We became aware today that very similar results have appeared yesterday in arXiv:2004.01266
Categories: math.PR, cs.NA, math.NA
Subjects: 65C20, 65C30, 65C35, 60H30, 60H35, 60K40
Related articles: Most relevant | Search more
arXiv:2005.11740 [math.PR] (Published 2020-05-24)
On the mean field limit of Random Batch Method for interacting particle systems
arXiv:2210.09286 [math.PR] (Published 2022-10-17)
An interacting particle system for the front of an epidemic advancing through a susceptible population
arXiv:2206.02166 [math.PR] (Published 2022-06-05)
Error Analysis of Time-Discrete Random Batch Method for Interacting Particle Systems and Associated Mean-Field Limits