A CONNECTION BETWEEN FREE AND CLASSICAL INFINITE DIVISIBILITY

Author:

BARNDORFF-NIELSEN O. E.12,THORBJØRNSEN S.23

Affiliation:

1. Department of Mathematical Sciences, University of Aarhus, Ny Munkegade, DK-8000 Aarhus C, Denmark

2. MaPhySto - Centre for Mathematical Physics and Stochastics, funded by The Danish National Research Foundation, Denmark

3. Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark

Abstract

In this paper we continue our studies, initiated in Refs. 2–4, of the connections between the classes of infinitely divisible probability measures in classical and in free probability. We show that the free cumulant transform of any freely infinitely divisible probability measure equals the classical cumulant transform of a certain classically infinitely divisible probability measure, and we give several characterizations of the latter measure, including an interpretation in terms of stochastic integration. We find, furthermore, an alternative definition of the Bercovici–Pata bijection, which passes directly from the classical to the free cumulant transform, without passing through the Lévy–Khintchine representations (classical and free, respectively).

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Mathematical Physics,Statistics and Probability,Statistical and Nonlinear Physics

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Homomorphisms relative to additive convolutions and max-convolutions: Free, boolean and classical cases;Proceedings of the American Mathematical Society;2021-08-12

2. Completely random measures and Lévy bases in free probability;Electronic Journal of Probability;2021-01-01

3. Classes Lm and Ornstein–Uhlenbeck Type Processes;Topics in Infinitely Divisible Distributions and Lévy Processes, Revised Edition;2019

4. The Normal Distribution Is Freely Self-decomposable;International Mathematics Research Notices;2017-08-10

5. On a Method of Introducing Free-Infinitely Divisible Probability Measures;Demonstratio Mathematica;2016-06-01

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