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Strong solutions of a class of hybrid diffusion processes with state-dependent regime-switching

机译:一类具有状态依赖状态切换的混合扩散过程的强解

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This work focuses on the strong solutions of a class of hybrid diffusion processes with state-dependent regime-switching. This important class of processes originates from the purpose of modeling the interest rate in finance. They have no any explicit solutions. Moreover, state-dependent regime-switching and non-Lipschitz diffusion coefficient pose a challenge to our analysis. To overcome all of these, we consider the Euler numerical schemes rather than the traditional Picard iterations in the existing results of solutions of stochastic differential equations. The weak convergence of numerical algorithms is first established by a martingale problem formulation. Using this result, we can also obtain the strong convergence of the algorithms. The existence of strong solutions is then confirmed. In addition, decreasing stepsize iterative algorithms and their weak convergence are presented. Several numerical experiments are also provided for illustration.
机译:这项工作着重于一类具有状态依赖状态切换的混合扩散过程的强解。这一重要的过程类别源自对金融利率建模的目的。他们没有任何明确的解决方案。此外,依赖状态的状态转换和非Lipschitz扩散系数对我们的分析提出了挑战。为了克服所有这些问题,我们在现有的随机微分方程解的结果中考虑了Euler数值方案,而不是传统的Picard迭代。数值算法的弱收敛首先由a问题公式建立。使用此结果,我们还可以获得算法的强收敛性。然后确认存在强解决方案。另外,提出了递减步长迭代算法及其弱收敛性。还提供了一些数值实验来说明。

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