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Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching

机译:马尔可夫切换的随机年龄相关资本系统的分步后向欧拉方法的强收敛性

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摘要

In this paper, we present and analyze the split-step backward Euler method for the stochastic capital system with Markovian switching. Under the one-sided local Lipschitz condition on the drift and local Lipschitz condition on the diffusion, we prove the split-step backward Euler method converges with strong order of one half to the true solution. A numerical example is provided to illustrate the theoretical results.
机译:在本文中,我们提出并分析了具有马尔可夫切换的随机资本系统的分步向后欧拉方法。在带漂移的单侧局部Lipschitz条件和扩散的局部Lipschitz条件下,我们证明了分步后向Euler方法以强阶的一半收敛到真实解。数值例子说明了理论结果。

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