The classical binomial process has been studied by Jakeman [3] (and the references therein) and has been used to characterize a series of radiation states in quantum optics. In particular, he studied a classical birth-death process where the chance of birth is proportional to the difference between a larger fixed number and the number of individuals present. It is shown that at large times, an equilibrium is reached which follows a binomial process. In this paper, the classical binomial process is generalized using the techniques of fractional calculus and is called the fractional binomial process. The fractional binomial process is shown to preserve the binomial limit at large times while expanding the class of models that include non-binomial fluctuations (non-Markovian) at regular and small times. As a direct consequence, the generality of the fractional binomial model makes the proposed model more desirable than its classical counterpart in describing real physical processes. More statistical properties are also derived.

On a fractional binomial process

POLITO, Federico
2012-01-01

Abstract

The classical binomial process has been studied by Jakeman [3] (and the references therein) and has been used to characterize a series of radiation states in quantum optics. In particular, he studied a classical birth-death process where the chance of birth is proportional to the difference between a larger fixed number and the number of individuals present. It is shown that at large times, an equilibrium is reached which follows a binomial process. In this paper, the classical binomial process is generalized using the techniques of fractional calculus and is called the fractional binomial process. The fractional binomial process is shown to preserve the binomial limit at large times while expanding the class of models that include non-binomial fluctuations (non-Markovian) at regular and small times. As a direct consequence, the generality of the fractional binomial model makes the proposed model more desirable than its classical counterpart in describing real physical processes. More statistical properties are also derived.
2012
146
3
646
662
http://arxiv.org/pdf/1303.6663.pdf
http://www.springerlink.com/content/w23qm67133j0mv24/
Binomial process; Birth-death process; Fractional calculus; Mittag-Leffler functions
D. O. CAHOY;F. POLITO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/93337
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