First-order convergence of Milstein schemes for McKean–Vlasov equations and interacting particle systems. (6th January 2021)
- Record Type:
- Journal Article
- Title:
- First-order convergence of Milstein schemes for McKean–Vlasov equations and interacting particle systems. (6th January 2021)
- Main Title:
- First-order convergence of Milstein schemes for McKean–Vlasov equations and interacting particle systems
- Authors:
- Bao, Jianhai
Reisinger, Christoph
Ren, Panpan
Stockinger, Wolfgang - Abstract:
- Abstract : In this paper, we derive fully implementable first-order time-stepping schemes for McKean–Vlasov stochastic differential equations, allowing for a drift term with super-linear growth in the state component. We propose Milstein schemes for a time-discretized interacting particle system associated with the McKean–Vlasov 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.
- Is Part Of:
- Proceedings. Volume 477:Number 2245(2021)
- Journal:
- Proceedings
- Issue:
- Volume 477:Number 2245(2021)
- Issue Display:
- Volume 477, Issue 2245 (2021)
- Year:
- 2021
- Volume:
- 477
- Issue:
- 2245
- Issue Sort Value:
- 2021-0477-2245-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-06
- Subjects:
- interacting particle systems -- numerical approximation of stochastic differential equations -- McKean–Vlasov stochastic differential equations
Physical sciences -- Periodicals
Engineering -- Periodicals
Mathematics -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/loi/rspa ↗
- DOI:
- 10.1098/rspa.2020.0258 ↗
- Languages:
- English
- ISSNs:
- 1364-5021
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15738.xml