English

On multivariate quasi-infinitely divisible distributions

Probability 2021-01-08 v1

Abstract

A quasi-infinitely divisible distribution on Rd\mathbb{R}^d is a probability distribution μ\mu on Rd\mathbb{R}^d whose characteristic function can be written as the quotient of the characteristic functions of two infinitely divisible distributions on Rd\mathbb{R}^d. Equivalently, it can be characterised as a probability distribution whose characteristic function has a L\'evy--Khintchine type representation with a "signed L\'evy measure", a so called quasi--L\'evy measure, rather than a L\'evy measure. A systematic study of such distributions in the univariate case has been carried out in Lindner, Pan and Sato \cite{lindner}. The goal of the present paper is to collect some known results on multivariate quasi-infinitely divisible distributions and to extend some of the univariate results to the multivariate setting. In particular, conditions for weak convergence, moment and support properties are considered. A special emphasis is put on examples of such distributions and in particular on Zd\mathbb{Z}^d-valued quasi-infinitely divisible distributions.

Keywords

Cite

@article{arxiv.2101.02544,
  title  = {On multivariate quasi-infinitely divisible distributions},
  author = {David Berger and Merve Kutlu and Alexander Lindner},
  journal= {arXiv preprint arXiv:2101.02544},
  year   = {2021}
}
R2 v1 2026-06-23T21:52:50.882Z