Symplectic methods based on Padeˊ\acute{e} approximation for some stochastic Hamiltonian systems

preprint2015arXivOpen access

Abstract

In this article, we introduce a kind of numerical schemes, based on Padeˊ\acute{e} approximation, for two stochastic Hamiltonian systems which are treated separately. For the linear stochastic Hamiltonian systems, it is shown that the applied Padeˊ\acute e approximations P(k,k)P_{(k,k)} give numerical solutions that inherit the symplecticity and the proposed numerical schemes based on P(r,s)P_{(r,s)} are of mean-square order r+s2\frac{r+s}{2} under appropriate conditions. In case of the special stochastic Hamiltonian systems with additive noises, the numerical method using two kinds of Padeˊ\acute e approximation P(r^,s^)P_{(\hat r,\hat s)} and P(rˇ,sˇ)P_{(\check r,\check s)} has mean-square order rˇ+sˇ+1\check r+\check s+1 when r^+s^=rˇ+sˇ+2\hat r+\hat s=\check r+\check s+2. Moreover, the numerical solution is symplectic if r^=s^\hat r=\hat s.

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