On a generalization of the binomial distribution and its Poisson-like limit
E. M. F. Curado, J. P. Gazeau, Ligia M. C. S. Rodrigues

TL;DR
This paper introduces a generalized binomial distribution linked to a sequence of numbers, proves its Poisson-like limit, and discusses conditions for its probabilistic interpretation, with potential applications in quantum optics.
Contribution
It presents a new generalization of the binomial distribution, establishes its Poisson-like limit, and analyzes conditions for probabilistic interpretation, expanding understanding in quantum optics contexts.
Findings
Established a Poisson-like limit for the generalized distribution
Identified conditions for probabilistic interpretation
Potential applications in quantum optics with imperfect detection
Abstract
We examine a generalization of the binomial distribution associated with a strictly increasing sequence of numbers and we prove its Poisson-like limit. Such generalizations might be found in quantum optics with imperfect detection. We discuss under which conditions this distribution can have a probabilistic interpretation.
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