Andreas E. Kyprianou , Sonny Medina , Juan Carlos Pardo
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引用次数: 0
Abstract
Recently a series of publications, including e.g. (Kyprianou, 2016 [1]; Kyprianou et al., 2018 [2]; Kyprianou et al., 2019; Kyprianou et al., 2014; Kyprianou and Pardo, 2022), considered a number of new fluctuation identities for -stable Lévy processes in one and higher dimensions by appealing to underlying Lamperti-type path decompositions. In the setting of -dimensional isotropic processes, (Kyprianou et al., 2019) in particular, developed so called -tuple laws for first entrance and exit of balls. Fundamental to these works is the notion that the paths can be decomposed via generalised spherical polar coordinates revealing an underlying Markov Additive Process (MAP) for which a more advanced form of excursion theory (in the sense of Maisonneuve (1975)) can be exploited.
Inspired by this approach, we give a different decomposition of the -dimensional isotropic -stable Lévy processes in terms of orthogonal coordinates. Accordingly we are able to develop a number of -tuple laws for first entrance into a half-space bounded by an hyperplane, expanding on existing results of (Byczkowski et al., 2009; Tamura and Tanaka, 2008). This gives us the opportunity to numerically construct the law of first entry of the process into a slab of the form using a ‘walk-on-half-spaces’ Monte Carlo approach in the spirit of the ‘walk-on-spheres’ Monte Carlo method given in Kyprianou et al. (2018).
最近的一系列出版物,包括(Kyprianou, 2016 [1];Kyprianou等人,2018 b[2];Kyprianou等人,2019;Kyprianou et al., 2014;Kyprianou和Pardo, 2022)通过利用潜在的lampertti型路径分解,考虑了一维和高维α-稳定lsamvy过程的一些新的波动恒等式。特别是在d维各向同性过程中,(Kyprianou et al., 2019)开发了所谓的n元组定律,用于球的首次进入和退出。这些工作的基础是路径可以通过广义球面极坐标分解的概念,揭示了潜在的马尔可夫加性过程(MAP),可以利用更高级形式的偏移理论(在Maisonneuve(1975)的意义上)。受这种方法的启发,我们给出了d维各向同性α-稳定lsamvy过程在正交坐标下的不同分解。因此,我们能够在现有的(Byczkowski et al., 2009;Tamura and Tanaka, 2008)。这使我们有机会在Kyprianou等人(2018)中给出的“行走-球体”蒙特卡罗方法的精神下,使用“行走-半空间”蒙特卡罗方法,在数值上将过程的第一次进入定律构建为形式为(−1,1)×Rd−1的平板。
期刊介绍:
Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.