DENSITY FUNCTION OF NUMERICAL SOLUTION OF SPLITTING AVF SCHEME FOR STOCHASTIC LANGEVIN EQUATION

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.

Automated summary

This article studies the density function of the numerical solution of the splitting averaged vector field (AVF) scheme for the stochastic Langevin equation. The existence and smoothness of the density function of the numerical solution are proven, along with the optimal strong convergence rate in every Malliavin-Sobolev norm. It is also shown that the convergence order of the density function of the numerical scheme coincides with its strong convergence order.