Literature DB >> 33642922

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

Jianhai Bao1, Christoph Reisinger2, Panpan Ren3, Wolfgang Stockinger2.   

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.
© 2021 The Author(s).

Entities:  

Keywords:  McKean–Vlasov stochastic differential equations; interacting particle systems; numerical approximation of stochastic differential equations

Year:  2021        PMID: 33642922      PMCID: PMC7897642          DOI: 10.1098/rspa.2020.0258

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  3 in total

1.  A class of markov processes associated with nonlinear parabolic equations.

Authors:  H P McKean
Journal:  Proc Natl Acad Sci U S A       Date:  1966-12       Impact factor: 11.205

2.  Initiation of slime mold aggregation viewed as an instability.

Authors:  E F Keller; L A Segel
Journal:  J Theor Biol       Date:  1970-03       Impact factor: 2.691

3.  Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons.

Authors:  Javier Baladron; Diego Fasoli; Olivier Faugeras; Jonathan Touboul
Journal:  J Math Neurosci       Date:  2012-05-31       Impact factor: 1.300

  3 in total

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