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首页> 外文期刊>Journal of Computational and Applied Mathematics >First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes
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First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes

机译:二维相关过程的第一次通过时间:维纳过程的分析结果和扩散过程的数值方法

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Given a two-dimensional correlated diffusion process, we determine the joint density of the first passage times of the process to some constant boundaries. This quantity depends on the joint density of the first passage time of the first crossing component and of the position of the second crossing component before its crossing time. First we show that these densities are solutions of a system of Volterra-Fredholm first kind integral equations. Then we propose a numerical algorithm to solve it and we describe how to use the algorithm to approximate the joint density of the first passage times. The convergence of the method is theoretically proved for bivariate diffusion processes. We derive explicit expressions for these and other quantities of interest in the case of a bivariate Wiener process, correcting previous misprints appearing in the literature. Finally we illustrate the application of the method through a set of examples. (C) 2015 Elsevier B.V. All rights reserved.
机译:给定一个二维相关的扩散过程,我们确定该过程第一次通过时间到某些恒定边界的联合密度。该数量取决于第一交叉部件的第一通过时间的接合密度以及第二交叉部件在其交叉时间之前的位置。首先,我们证明这些密度是Volterra-Fredholm第一类积分方程组的解。然后,我们提出了一种数值算法来解决它,并描述了如何使用该算法来近似第一次通过时间的联合密度。理论上证明了该方法的收敛性适用于二元扩散过程。在双变量维纳过程的情况下,我们导出了对这些和其他数量感兴趣的显式表达式,从而纠正了文献中出现的先前的错误印刷。最后,我们通过一组示例来说明该方法的应用。 (C)2015 Elsevier B.V.保留所有权利。

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