Multidimensional polynomial Euler products and infinitely divisible distributions on R^d
Abstract
It is known to be difficult to find out whether a certain multivariable function to be a characteristic function when its corresponding measure is not tirivial to be or not to be a probability measure on R^d. Such results were not obtained for a long while. In this paper, multidimensional polynomial Euler product is defined as a generalization of the polynomial Euler product. By applying the Kronecker's approximation theorem, a necessary and sufficient condition for some polynomial Euler products to generate characteristic functions is given. Furthermore, by using the Baker's theorem, that of some multidimensional polynomial Euler products is also given. As one of the most important properties of probability distributions, the infinite divisibility of them is studied as well.
Cite
@article{arxiv.1204.4041,
title = {Multidimensional polynomial Euler products and infinitely divisible distributions on R^d},
author = {Takahiro Aoyama and Takashi Nakamura},
journal= {arXiv preprint arXiv:1204.4041},
year = {2017}
}
Comments
main paper, 22 pages. arXiv admin note: text overlap with arXiv:1204.4042