Exponential Discrete Gradient Schemes for Simulating Stochastic Hamiltonian Systems Preserving Hamiltonian Functions

Abstract

The paper investigates the exponential discrete gradient methods simulating stochastic Hamiltonian systems with invariant Hamiltonians. We show that the methods are nearly symplectic, and nearly preserve the invariant Hamiltonians. Numerical experiments illustrate effectiveness and efficiency of the simulation methods.