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    张丹, 秦衍. 带时滞随机泛函微分方程的Split-step算法[J]. 华东理工大学学报(自然科学版), 2015, (6): 863-870.
    引用本文: 张丹, 秦衍. 带时滞随机泛函微分方程的Split-step算法[J]. 华东理工大学学报(自然科学版), 2015, (6): 863-870.
    ZHANG Dan, QIN Yan. Split-step Method for Stochastic Delay Functional Differential Equations[J]. Journal of East China University of Science and Technology, 2015, (6): 863-870.
    Citation: ZHANG Dan, QIN Yan. Split-step Method for Stochastic Delay Functional Differential Equations[J]. Journal of East China University of Science and Technology, 2015, (6): 863-870.

    带时滞随机泛函微分方程的Split-step算法

    Split-step Method for Stochastic Delay Functional Differential Equations

    • 摘要: 针对一类带有泊松跳的时变时滞随机泛函微分方程,基于Euler-Maruyama算法,给出了Split-step算法。在带跳时滞随机泛函微分方程的系数满足全局Lipschitz条件、线性增长条件和初值函数具有Hölder连续性的条件下,证明了文中的Split-step算法在均方意义下以0.5阶矩收敛。最后通过几个实例进行了数值模拟,验证了算法的有效性。

       

      Abstract: The Split-step method to stochastic functional differential equations with Poisson jumps and variable delay is introduced in this paper, based on Euler-Maruyama method. And it is proved that the convergence of the Split-step numerical solutions for the stochastic functional differential equations has order 0.5 in the mean-square sense under the global Lipschitz condition, the linear growth condition and the continuity of initial data. Some numerical experiments are simulated to testify the performance and the effectiveness of the method.

       

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