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arXiv 2006.00463math.PRcs.NAmath.NA
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带公共噪声的McKean-Vlasov方程的适定性与驯服格式

Well-posedness and tamed schemes for McKean-Vlasov Equations with Common Noise

Chaman Kumar, Neelima, Christoph Reisinger, Wolfgang Stockinger

摘要:

在本文中,我们首先建立了具有共同噪声的McKean-Vlasov随机微分方程(McKean-Vlasov SDES)的适定性,其中系数在状态变量中可能具有超线性增长。其次,我们提出了稳定的时间步长计划,这一类的McKean-Vlasov随机微分方程。具体来说,我们提出了一个明确的驯服欧拉和驯服米尔斯坦计划的相互作用粒子系统与McKean-Vlasov方程。证明了阶为$1/2$和阶为$1$的稳定性和强收敛性.为了获得我们的主要结果,我们采用的技术从微积分的Wasserstein空间。证明驯服Milstein格式的强收敛性只需要系数在状态分量和测度分量中一次连续可微。为了证明我们的理论研究结果,我们提出了几个数值例子,包括平均场版本的随机$3/2$波动率模型和随机双井动态与乘性噪声。

英文摘要:

In this paper, we first establish well-posedness of McKean-Vlasov stochastic differential equations (McKean-Vlasov SDEs) with common noise, possibly with coefficients having super-linear growth in the state variable. Second, we present stable time-stepping schemes for this class of McKean-Vlasov SDEs. Specifically, we propose an explicit tamed Euler and tamed Milstein scheme for an interacting particle system associated with the McKean-Vlasov equation. We prove stability and strong convergence of order $1/2$ and $1$, respectively. To obtain our main results, we employ techniques from calculus on the Wasserstein space. The proof for the strong convergence of the tamed Milstein scheme only requires the coefficients to be once continuously differentiable in the state and measure component. To demonstrate our theoretical findings, we present several numerical examples, including mean-field versions of the stochastic $3/2$ volatility model and the stochastic double well dynamics with multiplicative noise.

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