Properties of stationary distributions of a sequence of generalized Ornstein-Uhlenbeck processes
Alexander Lindner, Ken-iti Sato

TL;DR
This paper investigates the properties and infinite divisibility conditions of stationary distributions of a sequence of generalized Ornstein-Uhlenbeck processes driven by compound Poisson processes, revealing complex arithmetical dependencies and introducing quasi-infinite divisibility.
Contribution
It provides a complete characterization of infinite divisibility conditions for these distributions, including their symmetrizations and the concept of quasi-infinite divisibility.
Findings
Conditions for infinite divisibility depend on arithmetical properties of c
Distributions and their symmetrizations can be infinitely divisible independently
Introduction of the notion of quasi-infinite divisibility and its implications
Abstract
The infinite (in both directions) sequence of the distributions of the stochastic integrals for integers is investigated. Here and , , is a bivariate compound Poisson process with L\'evy measure concentrated on three points , , . The amounts of the normalized L\'evy measure at these points are denoted by , , . For the process is marginally Poisson and has been studied by Lindner and Sato (Ann. Probab. 37 (2009), 250-274). The distributions are the stationary distributions of a sequence of generalized Ornstein-Uhlenbeck processes structurally related in some way. Continuity properties of are shown to be the same as those of . The problem to find necessary and sufficient…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · advanced mathematical theories
