Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Generating Functions for New Families of Combinatorial Numbers and Polynomials: Approach to Poisson–Charlier Polynomials and Probability Distribution Function

View through CrossRef
The aim of this paper is to construct generating functions for new families of combinatorial numbers and polynomials. By using these generating functions with their functional and differential equations, we not only investigate properties of these new families, but also derive many new identities, relations, derivative formulas, and combinatorial sums with the inclusion of binomials coefficients, falling factorial, the Stirling numbers, the Bell polynomials (i.e., exponential polynomials), the Poisson–Charlier polynomials, combinatorial numbers and polynomials, the Bersntein basis functions, and the probability distribution functions. Furthermore, by applying the p-adic integrals and Riemann integral, we obtain some combinatorial sums including the binomial coefficients, falling factorial, the Bernoulli numbers, the Euler numbers, the Stirling numbers, the Bell polynomials (i.e., exponential polynomials), and the Cauchy numbers (or the Bernoulli numbers of the second kind). Finally, we give some remarks and observations on our results related to some probability distributions such as the binomial distribution and the Poisson distribution.
Title: Generating Functions for New Families of Combinatorial Numbers and Polynomials: Approach to Poisson–Charlier Polynomials and Probability Distribution Function
Description:
The aim of this paper is to construct generating functions for new families of combinatorial numbers and polynomials.
By using these generating functions with their functional and differential equations, we not only investigate properties of these new families, but also derive many new identities, relations, derivative formulas, and combinatorial sums with the inclusion of binomials coefficients, falling factorial, the Stirling numbers, the Bell polynomials (i.
e.
, exponential polynomials), the Poisson–Charlier polynomials, combinatorial numbers and polynomials, the Bersntein basis functions, and the probability distribution functions.
Furthermore, by applying the p-adic integrals and Riemann integral, we obtain some combinatorial sums including the binomial coefficients, falling factorial, the Bernoulli numbers, the Euler numbers, the Stirling numbers, the Bell polynomials (i.
e.
, exponential polynomials), and the Cauchy numbers (or the Bernoulli numbers of the second kind).
Finally, we give some remarks and observations on our results related to some probability distributions such as the binomial distribution and the Poisson distribution.

Related Results

Preface: phys. stat. sol. (b) 244/3
Preface: phys. stat. sol. (b) 244/3
AbstractThis is the 2nd special issue of physica status solidi (b) dedicated to materials exhibiting negative Poisson's ratio (auxetic) or other unusual or counter‐intuitive physic...
Influence of Poisson Effect of Compression Anchor Grout on Interfacial Shear Stress
Influence of Poisson Effect of Compression Anchor Grout on Interfacial Shear Stress
Abstract The distribution and magnitude of the shear stress at the interface between the grout of a compression anchor rod and rock are strongly affected by the Poisson eff...
Dispersion of Count Data: A Case Study of Poisson Distribution and Its Limitations
Dispersion of Count Data: A Case Study of Poisson Distribution and Its Limitations
Poisson distribution is one of the widely known distribution in the field of probability and statistics by statisticians. It has been widely applied in modeling of discrete observa...
GENERALIZED DEGENERATE CHANGHEE-GENOCCHI NUMBERS AND POLYNOMIALS
GENERALIZED DEGENERATE CHANGHEE-GENOCCHI NUMBERS AND POLYNOMIALS
The degenerate Changhee-Genocchi numbers (and also Changhee - Genocchi), which appear in analysis and combinatorial mathematics and play a significant role in the applications and ...
The Use of Probability Limits of COM–Poisson Charts and their Applications
The Use of Probability Limits of COM–Poisson Charts and their Applications
The conventional c and u charts are based on the Poisson distribution assumption for the monitoring of count data. In practice, this assumption is not often satisfied, which requir...
Combinatorial aspects of generalizations of Schur functions
Combinatorial aspects of generalizations of Schur functions
The understanding of the space of symmetric functions is gained through the study of its bases. Certain bases can be dened by purely combinatorial methods, sometimes enabling impor...
Truncated-Exponential-Based Appell-Type Changhee Polynomials
Truncated-Exponential-Based Appell-Type Changhee Polynomials
The truncated exponential polynomials em(x) (1), their extensions, and certain newly-introduced polynomials which combine the truncated exponential polynomials with other known pol...
Narayana numbers and Schur-Szegö composition
Narayana numbers and Schur-Szegö composition
In the present paper we find a new interpretation of Narayana polynomials N-n(x) which are the generating polynomials for the Narayana numbers N-n,N-k = 1/nC(n)(k-1)C(n)(k) where C...

Back to Top