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CONSERVATIVE METHODS FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH A CONSERVED QUANTITY

机译:守恒型随机微分方程的守恒方法

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This paper proposes a novel conservative method for the numerical approximation of general stochastic differential equations in the Stratonovich sense with a conserved quantity. We show that the mean-square order of the method is 1 if noises are commutative and that the weak order is 1 in the general case. Since the proposed method may need the computation of a deterministic integral, we analyse the effect of the use of quadrature formulas on the convergence orders. Furthermore, based on the splitting technique of stochastic vector fields, we construct conservative composition methods with similar orders as the above method. Finally, numerical experiments are presented to support our theoretical results.
机译:本文提出了一种新颖的保守方法,用于以守恒量表示Stratonovich意义上的一般随机微分方程的数值逼近。我们表明,如果噪声是可交换的,则该方法的均方阶为1,在一般情况下,弱阶为1。由于所提出的方法可能需要计算确定性积分,因此我们分析了使用正交公式对收敛阶的影响。此外,基于随机矢量场的分裂技术,我们构造了与上述方法具有相似阶数的保守合成方法。最后,提出了数值实验以支持我们的理论结果。

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