Про деякі дискретні квантові розподіли

The article investigates the discrete \(q\)-distributions – the \(q\)-Binomial, \(q\)-Negative Binomial, and \(q\)-Poisson – which play an important role in quantum calculus, \(q\)-combinatorics, and the theory of special functions. Based on the application of \(q\)-derivatives and the \(q\)-Taylor formula, a unified approach is proposed for constructing recurrence relations for the initial and central moments of these distributions. Explicit formulas for low-order moments are obtained, generalizing classical results and correctly reducing to them when \(q = 1\). The proposed method allows for the systematization of known fragmentary results and provides a basis for further research into \(q\)-probabilistic models, particularly in connection with \(q\)-orthogonal polynomials and stochastic processes.

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Publication Details

Journal
Scientific periodicals of Ukraine
Published
2026-01-29
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
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article

Про деякі дискретні квантові розподіли

Ю. І. Волков, О. Ю. Волков, Н. М. Войналович
Scientific periodicals of Ukraine
Mathematical functions and polynomials
article

Про деякі дискретні квантові розподіли

Ю. І. Волков, О. Ю. Волков, Н. М. Войналович
article en

Abstract

The article investigates the discrete \(q\)-distributions – the \(q\)-Binomial, \(q\)-Negative Binomial, and \(q\)-Poisson – which play an important role in quantum calculus, \(q\)-combinatorics, and the theory of special functions. Based on the application of \(q\)-derivatives and the \(q\)-Taylor formula, a unified approach is proposed for constructing recurrence relations for the initial and central moments of these distributions. Explicit formulas for low-order moments are obtained, generalizing classical results and correctly reducing to them when \(q = 1\). The proposed method allows for the systematization of known fragmentary results and provides a basis for further research into \(q\)-probabilistic models, particularly in connection with \(q\)-orthogonal polynomials and stochastic processes.

Scientific periodicals of Ukraine
Reduced inequalities
Openalex Percentile: Top 38%
Mathematical functions and polynomials
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