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arXiv 2005.01165math.NAcs.NAmath.PR

含时滞的McKean-Vlasov方程与相互作用粒子系统的Milstein格式及对偶多层蒙特卡洛采样

Milstein schemes and antithetic multilevel Monte Carlo sampling for delay McKean-Vlasov equations and interacting particle systems

Jianhai Bao, Christoph Reisinger, Panpan Ren, Wolfgang Stockinger

AI总结:

针对带点时滞、漂移项可能超线性增长的McKean-Vlasov方程对应的相互作用粒子系统,推导了Milstein格式并证明其一阶强收敛与矩稳定,还提出无需模拟Lévy面积的对偶多层Milstein格式以实现解的期望泛函的最优复杂度估计。

摘要:

本文首先推导了与点时滞McKean-Vlasov随机微分方程(McKean-Vlasov SDEs)相关的相互作用粒子系统的Milstein格式,该方程的漂移项在状态分量上可能呈现超线性增长。我们利用具有有限二阶矩的概率测度空间上的变分法技术,证明了格式的一阶强收敛性和矩稳定性。随后,我们提出了一种对偶多层Milstein格式,该格式无需模拟Lévy面积,即可得到时滞McKean-Vlasov方程解的期望泛函的最优复杂度估计量。

英文摘要:

In this paper, we first derive Milstein schemes for an interacting particle system associated with point delay McKean-Vlasov stochastic differential equations (McKean-Vlasov SDEs), possibly with a drift term exhibiting super-linear growth in the state component. We prove strong convergence of order one and moment stability, making use of techniques from variational calculus on the space of probability measures with finite second order moments. Then, we introduce an antithetic multilevel Milstein scheme, which leads to optimal complexity estimators for expected functionals of solutions to delay McKean-Vlasov equations without the need to simulate Lévy areas.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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