A New Family of Fractional Counting Probability Distributions
Nick Laskin

TL;DR
This paper introduces a new family of fractional counting probability distributions based on a three-parameter generalized Mittag-Leffler function, with applications in quantum states and combinatorial numbers.
Contribution
It develops a novel fractional counting process and related mathematical objects, extending classical distributions and quantum states with fractional generalizations.
Findings
Reproduces known Poisson and fractional Poisson distributions
Introduces fractional Bell and Stirling numbers
Develops stretched quantum coherent states
Abstract
A new family of fractional counting processes based on a three-parameter generalized Mittag-Leffler function was introduced and studied. As applications we develop a fractional generalized compound process, introduce and develop fractional generalized Bell polynomials and numbers, fractional generalized Stirling numbers of the second kind, and a new family of quantum coherent states. Stretched quantum coherent states, which are a generalization of the famous Schr\"odinger-Glauber coherent states, were also introduced and studied. In particular cases, the presented results reproduce known equations for Poisson and fractional Poisson probability distributions, Bell numbers and fractional Bell numbers, Stirling numbers and fractional Stirling numbers of the second kind, as well as for known quantum coherent states.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Fractional Differential Equations Solutions
