English

A refined factorization of the exponential law

Probability 2011-05-11 v2 Statistics Theory Statistics Theory

Abstract

Let ξ\xi be a (possibly killed) subordinator with Laplace exponent ϕ\phi and denote by Iϕ=0eξsdsI_{\phi}=\int_0^{\infty}\mathrm{e}^{-\xi_s}\,\mathrm{d}s, the so-called exponential functional. Consider the positive random variable Iψ1I_{\psi_1} whose law, according to Bertoin and Yor [Electron. Comm. Probab. 6 (2001) 95--106], is determined by its negative entire moments as follows: E[Iψ1n]=k=1nϕ(k),n=1,2,...\mathbb {E}[I_{\psi_1}^{-n}]=\prod_{k=1}^n\phi(k),\qquad n=1,2,... In this note, we show that Iψ1I_{\psi_1} is a positive self-decomposable random variable whenever the L\'{e}vy measure of ξ\xi is absolutely continuous with a monotone decreasing density. In fact, Iψ1I_{\psi_1} is identified as the exponential functional of a spectrally negative (sn, for short) L\'{e}vy process. We deduce from Bertoin and Yor [Electron. Comm. Probab. 6 (2001) 95--106] the following factorization of the exponential law e{\mathbf {e}}: Iϕ/Iψ1=(d)e,I_{\phi}/I_{\psi_1}\stackrel{\mathrm {(d)}}{=}{\mathbf {e}}, where Iψ1I_{\psi_1} is taken to be independent of IϕI_{\phi}. We proceed by showing an identity in distribution between the entrance law of an sn self-similar positive Feller process and the reciprocal of the exponential functional of sn L\'{e}vy processes. As a by-product, we obtain some new examples of the law of the exponential functionals, a new factorization of the exponential law and some interesting distributional properties of some random variables. For instance, we obtain that S(α)αS(\alpha)^{\alpha} is a self-decomposable random variable, where S(α)S(\alpha) is a positive stable random variable of index α(0,1)\alpha\in(0,1).

Cite

@article{arxiv.1005.4011,
  title  = {A refined factorization of the exponential law},
  author = {P. Patie},
  journal= {arXiv preprint arXiv:1005.4011},
  year   = {2011}
}

Comments

Published in at http://dx.doi.org/10.3150/10-BEJ292 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)

R2 v1 2026-06-21T15:26:16.375Z