Some Applications of the Fractional Poisson Probability Distribution
Nick Laskin

TL;DR
This paper explores the fractional Poisson distribution's applications in physics and mathematics, introducing new quantum states, generalized combinatorial numbers, and polynomial sequences, linking them to classical results in the limit.
Contribution
It introduces fractional generalizations of Bell and Stirling numbers, new quantum coherent states, and polynomial sequences, expanding the mathematical and physical understanding of fractional Poisson processes.
Findings
Introduction of fractional Bell and Stirling numbers.
Development of new quantum coherent states.
Connections to classical polynomials and functions in the limit.
Abstract
Physical and mathematical applications of fractional Poisson probability distribution have been presented. As a physical application, a new family of quantum coherent states has been introduced and studied. As mathematical applications, we have discovered and developed the fractional generalization of Bell polynomials, Bell numbers, and Stirling numbers. Appearance of fractional Bell polynomials is natural if one evaluates the diagonal matrix element of the evolution operator in the basis of newly introduced quantum coherent states. Fractional Stirling numbers of the second kind have been applied to evaluate skewness and kurtosis of the fractional Poisson probability distribution function. A new representation of Bernoulli numbers in terms of fractional Stirling numbers of the second kind has been obtained. A representation of Schlafli polynomials in terms of fractional Stirling numbers…
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