TY - JOUR
T1 - Poisson process Fock space representation, chaos expansion and covariance inequalities
AU - Last, G
AU - Penrose, Mathew D
PY - 2011/8/1
Y1 - 2011/8/1
N2 - We consider a Poisson process eta on an arbitrary measurable space with an arbitrary sigma-finite intensity measure. We establish an explicit Fock space representation of square integrable functions of eta. As a consequence we identify explicitly, in terms of iterated difference operators, the integrands in the Wiener-It 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 Poincar, 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 eta.
AB - We consider a Poisson process eta on an arbitrary measurable space with an arbitrary sigma-finite intensity measure. We establish an explicit Fock space representation of square integrable functions of eta. As a consequence we identify explicitly, in terms of iterated difference operators, the integrands in the Wiener-It 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 Poincar, 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 eta.
UR - http://www.scopus.com/inward/record.url?scp=79952897621&partnerID=8YFLogxK
UR - http://arxiv.org/abs/0909.3205v1
UR - http://dx.doi.org/10.1007/s00440-010-0288-5
U2 - 10.1007/s00440-010-0288-5
DO - 10.1007/s00440-010-0288-5
M3 - Article
SN - 0178-8051
VL - 150
SP - 663
EP - 690
JO - Probability Theory and Related Fields
JF - Probability Theory and Related Fields
IS - 3-4
ER -