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 Volume 9, Number 5, 2019, Pages 1663-1685 Stochastic partitioned averaged vector field methods for stochastic differential equations with a conserved quantity Xiuyan Li,Qiang Ma,Xiaohua Ding Keywords:Stochastic differential equations, stochastic partitioned averaged vector field methods, conserved quantity, convergence analysis. Abstract: In this paper, stochastic differential equations in the Stratonovich sense with a conserved quantity are considered. A stochastic partitioned averaged vector field method is proposed and analyzed. We prove this numerical method is able to preserve the conserved quantity of the original system. Then the convergence analysis is carried out in detail and we derive the method is convergent with order $1$ in the mean-square sense. Finally some numerical examples are reported to verify the effectiveness and flexibility of the proposed method. PDF      Download reader