Density function of numerical solution of splitting AVF scheme for stochastic Langevin equation

Cui, Jianbo; Hong, Jialin; Sheng, Derui

doi:10.1090/mcom/3752

Density function of numerical solution of splitting AVF scheme for stochastic Langevin equation
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by Jianbo Cui, Jialin Hong and Derui Sheng;

Math. Comp. 91 (2022), 2283-2333

DOI: https://doi.org/10.1090/mcom/3752

Published electronically: July 7, 2022

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Abstract:

In this article, we study the density function of the numerical solution of the splitting averaged vector field (AVF) scheme for the stochastic Langevin equation. We first show the existence of the density function of the numerical solution by proving its exponential integrability property, Malliavin differentiability and the almost surely non-degeneracy of the associated Malliavin covariance matrix. Then the smoothness of the density function is obtained through a lower bound estimate of the smallest eigenvalue of the corresponding Malliavin covariance matrix. Meanwhile, we derive the optimal strong convergence rate in every Malliavin–Sobolev norm of the numerical solution via Malliavin calculus. Combining the strong convergence result and the smoothness of the density functions, we prove that the convergence order of the density function of the numerical scheme coincides with its strong convergence order.

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