Poisson process Fock space representation, chaos expansion and covariance inequalities
Probability
2009-09-18 v1 Complex Variables
Abstract
We consider a Poisson process on an arbitrary measurable space with an arbitrary sigma-finite intensity measure. We establish an explicit Fock space representation of square integrable functions of . As a consequence we identify explicitly, in terms of iterated difference operators, the integrands in the Wiener-Ito chaos expansion. We apply these results to extend well-known variance inequalities for homogeneous Poisson processes on the line to the general Poisson case. The Poincare inequality is a special case. Further applications are covariance identities for Poisson processes on (strictly) ordered spaces and Harris-FKG-inequalities for monotone functions of .
Keywords
Cite
@article{arxiv.0909.3205,
title = {Poisson process Fock space representation, chaos expansion and covariance inequalities},
author = {Guenter Last and Mathew D. Penrose},
journal= {arXiv preprint arXiv:0909.3205},
year = {2009}
}
Comments
25 pages