Generalized Segal-Bargmann transform for Poisson distribution revisited
Mathematical Physics
2026-03-11 v2 math.MP
Abstract
For α>0 and σ>0, we consider the following probability distribution on αN0: πα,σ=exp(−α2σ)∑n=0∞n!1(α2σ)nδαn, where δy denotes the Dirac measure with mass at y. For α=1, π1,σ is the Poisson distribution with parameter σ. Furthermore, the centered probability distribution π~α,σ=exp(−α2σ)∑n=0∞n!1(α2σ)nδαn−σ/α weakly converges to μσ as α→0. Here μσ is the Gaussian distribution with mean zero and variance σ. Let (cn)n=0∞ be the monic polynomial sequence that is orthogonal with respect to the measure μα,σ. In particular, for α=1, (cn)n=0∞ is a sequence of Charlier polynomials. Let Fσ(C) denote the Bargmann space of all entire functions f(z)=∑n=0∞fnzn with fn∈C satisfying ∑n=0∞∣fn∣2n!σn<∞. The generalized Segal--Bargmann transform associated with the measure πα,σ is a unitary operator S:L2(αN0,πα,σ)→Fσ(C) that satisfies (Scn)(z)=zn for n∈N0. We present some new results related to the operator S. In particular, we observe how the study of S naturally leads to the normal ordering in the Weyl algebra.
Cite
@article{arxiv.2508.19038,
title = {Generalized Segal-Bargmann transform for Poisson distribution revisited},
author = {Chadaphorn Kodsueb and Eugene Lytvynov},
journal= {arXiv preprint arXiv:2508.19038},
year = {2026}
}