Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 42 citations · 24 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesStochastic CalculusStochastic Differential EquationsStochastic StabilityTime IntegrationConvergenceInteracting Particle SystemsMoment StabilityNumerical Methods For Stochastic Differential EquationsOrder ConvergenceTime-stepping SchemesVlasov Equation
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.
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Random walk with persistence and external bias
Clifford S. Patlak · Bulletin of Mathematical Biology · 1953 · 1K citations
Engineering, Economics, Mathematics +11
Martin Hutzenthaler, Arnulf Jentzen, Peter E. Kloeden · The Annals of Applied Probability · 2012 · 439 citations · Full text
Engineering, Computational Engineering, Differential Equations +14