α-stable Lévy processes entering the half space or a slab

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
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 α-stable Lévy processes in one and higher dimensions by appealing to underlying Lamperti-type path decompositions. In the setting of d-dimensional isotropic processes, (Kyprianou et al., 2019) in particular, developed so called n-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 d-dimensional isotropic α-stable Lévy processes in terms of orthogonal coordinates. Accordingly we are able to develop a number of n-tuple laws for first entrance into a half-space bounded by an Rd1 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 (1,1)×Rd1 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).
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
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.
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