Generalized Segal-Bargmann transform for Poisson distribution revisited

Abstract

For α>0 and σ > 0, we consider the following probability distribution on α N0: πα,σ = (- σα2) Σn=0∞ 1n! (σα2)n δα n, 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 πα,σ = (- σα2) Σn=0∞ 1n! (σα2)n δα n-σ/α weakly converges to μσ as α0. 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)=Σn=0∞ fnzn with fn ∈ C satisfying Σn=0∞ | fn |2 \, n! \, σn < ∞. The generalized Segal--Bargmann transform associated with the measure πα,σ is a unitary operator S:L2(α N0,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.

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