Abstract
In this paper, binomial convolution in the frame of quantum calculus is studied for the set of q-Appell sequences. It has been shown that the set of q-Appell sequences forms an Abelian group under the operation of binomial convolution. Several properties for this Abelian group structure have been studied. A new definition of the q-Appell polynomials associated with a random variable is proposed. Scale transformation as well as transformation based on expectation with respect to a random variable is used to present the determinantal form of q-Appell sequences.
Keywords:
q-calculus; q-Appell polynomials; binomial convolution; Abelian group; Appell sequences transformation MSC:
33C45; 33C65; 33C99; 44A35
Appell polynomials [] were defined by Appell in 1880. F.A. Costabile and E. Longo studied the Appell polynomial using determinantal approach []. Based on the quantum calculus, The family of q-Appell polynomials [] were introduced by Al-Salam in 1967. Furthermore, M.E. Keleshteri and N.I. Mahmudov studied q-Appell polynomial using determinantal approach []. For other literature related to Appell polynomials, one can refer [,,,,,,].
These polynomials have been used in many branches of mathematics including number theory, applied mathematics and theoretical physics. According to the Weierstrass approximation theorem [], every continuous function can be approximated by polynomials. Thus, polynomials play an important role in approximation theory. For some recent papers related to approximation by polynomials and applications in CAGD, one can refer to [,,,,,,]. Appell and q-Appell polynomial have been studied for interpolation by several authors [,]. T. Ernst in [] introduced the term multiplicative q-Appell polynomial and has shown that the set of q-Appell polynomials forms a commutative ring. Apart from this, convolution plays a very important role in approximation theory, probability, statistics, computer vision, image and signal processing, etc. Motivated by the above facts, we study here various properties of the q-Appell polynomial with the operation of convolution using q-calculus. This paper is organized as follows:
The paper considers the binomial convolution for the set of q-Appel sequences. It is proven that the set of q-Appel sequences equipped with the binomial convolution forms an Abelian group. By using the probabilistic approach to q-Appel polynomials, a new definition of q-Appel polynomials related to a random variable similar to the work done in [] is discussed. Furthermore, the scale transform and transformations based on expectations are defined and their characteristics discussed.
Let us recall some basics from the quantum calculus (see [,,,,,]). The quantum or q-analogue of a number is defined by
The q-factorial is defined by
The q-binomial coefficient is defined by
The q-analogue of the function are defined by
The q-derivative of a function f is defined by
Exponential functions based on q-calculus is used in the standard approach as follows:
Let y and x be elements of a commutative multiplicative semigroup. Then, the NWA q-addition is given by []
For every power series with the q-Appell polynomials of degree and order n have the following generating function []:
Putting we have:
where is called a q-Appell number of degree and order n
q-Appell polynomials of degree and order n satisfy the following q-differential Equation []:
1. Quantum Binomial Convolutions and Generating Functions
Let denote the set of positive integers and Now, onwards and satisfying Let us denote by the set of all real sequences where and:
If then its generating function will be denoted by
The q-binomial convolution [] of and will be denoted by for and is defined as
The q-addition is a special case of the q-binomial convolution [].
The q-multinomial coefficient is given by
Proposition 1.
Let that μ belong to the set of positive integers (see []). Then, and:
In addition:
Proof.
Then Thus, by applying the induction on m, result follows.
Corollary 1.
is an Abelian group having an identity element as , where and for
Proof.
Closure: for then as
Associativity: let be any elements:
and
Existence of identity: it is easy to see that for all where Existence of inverse: let Since then for some This implies that is a well-defined function that can be represented via power series due to analyticity as
for some real sequence and some Here, one can observe that by (4), and that Again, it can be observed from (3) and (4), that is the inverse of Thus, is the unique solution to the systems of equations:
Commutative: it is easy to see that for all
The proof is complete. □
Let be a sequence of polynomials such that . Recall that is called a q-Appell sequence if one of the following equivalent conditions is satisfied:
or:
The set of all q-Appell sequence will be denoted by Let be the unit q-Appell sequence. Using (2), the condition (7) can be expressed as
From Proposition (1), for any From the binomial identity, for Thus, from Equation (9) and Corollary (1):
2. The Abelian Group Structure of
Let The q-binomial convolution of and denoted by and is defined as
The last two equalities of (11) can be obtained using (9) and Corollary (1). Equivalently:
Theorem 1.
Let Then, is an q-Appell sequences characterized by its generating function:
As a consequence, is an Abelian group with identity element In addition, we have:
In general, for any and with :
Proof.
Thus, the first statement in Theorem 1 is evident from (8). Similarly, from (13) and Proposition 1, Formula (14) can be obtained. Now, we will show that will be the inverse of Similar to the method used in Corollary 1, let be the real sequence having a generating function as
Then, the q-Appell sequences will be inverse of Equivalently, will be the unique solution to the systems of equations:
which completes the proof. □
Note that Theorem 1 is equivalent to q-Appell polynomials determinantal approach, now we state the following:
Corollary 2.
(Determinantal form). For the real sequence and whose generating function is represented in (16). Then, and we have for :
Proof.
It suffices to put formula (17) in a determinantal form. □
Corollary 2 has applications in Corollary 3.
3. Scale Transformations
Now, we will study scale transformations. For and is defined as
where the last equality of the first equation of (18) is by using (7). These transformations will be characterized next.
Proposition 2.
Let then is a q-Appell sequence if and characterized by generating function:
In addition
As a consequence, the map is an isomorphism, whenever
Proof.
The order m generalized q-Bernoulli polynomials can be expressed in terms of the q-Bernoulli polynomials as
Relation (22) can be obtained using above the table and Proposition 2 as follows:
Similarly, by using the result of relation (20) in Proposition 2, the order m generalized q-Euler polynomials can be expressed by means of the type q-Euler polynomials as
Finally, we have the relating q-Bernoulli and q-Euler polynomials:
From Table 1:

Table 1.
Generating the function of some q-Appell type polynomials.
Then, we have:
Similarly we can get:
Then:
4. Transformations Based on Expectations
Let X be a random variables such that:
Here, we consider expectations and transformations of q-Appell sequences by replacing x by X in (10) similar to a classical analogue [,]. These transformations are the result due to a probabilistic approach to q-Appell polynomials. For and a random variable X, we define as
follow from (7) and (10). Notice that whenever In addition:
Identity transformation plays an important role as which is evident from equality in (25), we obtain:
Now, we will study some results following the characterization of the transformations based on expectations and will present some of their properties.
Proposition 3.
Let Y and X denote two independent random variables and Then, is a q-Appell sequence represented in terms of generating a function as
Moreover, the following properties are true:
- (a)
- (b)
- (c)
Combining it with (8), will prove the first statement in Proposition 3. From Proposition 1 and (27), we obtain:
hence, we obtain (a). Notice that:
as it is clear from (13), (29), and the independence between the variables Y and X. From (27) and Proposition 1, we obtain:
which justifies (b). Similarly, one can prove (c).
It is to note that the map is not a homomorphism, which follows from Proposition 3(a).
5. The Subset
Let us consider the exponential moments (finite) for a random variable X s.t. similar to its classical case defined in []. Then, for all and:
For the right hand side of (5) will be a complex analytic function As for due to the continuity of Thus, is a well-defined analytic function and can be expressed in the form of power series:
where denotes the radius of convergence. For such that we have:
where For and it holds:
As both series are absolutely convergent in the neighborhood of the origin, the sum will therefore not depend on the order of summation. Motivated by (30), we now present the definition of q-Appell polynomials related to a random variable
Definition 1.
Let X be a random variable having some exponential moments. The polynomials satisfying:
where are called as q-Appell polynomials of order μ associated with random variable
Now, we denote by the set of Appell sequences such that:
for a random variable For another random variable Y satisfying (32), due to the uniqueness theorem for characteristic functions, Y and X will follow same law. Thus, has associated the random variable Notice that for Then, we present a preposition for the construction of other q-Appell polynomials.
Proposition 4.
For associated independent random variable Y and X and let: , respectively, where Then, belong to a with the associated random variable
In particular, if then belongs to with associated random variable
Proof.
The q-Appell sequence in is characterized as follows.
Theorem 2.
The following statements are equivalent:
- (a)
- with the associated random variable
- (b)
- (c)
- (d)
- The inverse element of is
Proof.
For any q-Appell sequence, its determinantal form can be expressed in terms of the moments of its associated random variable
Corollary 3.
Let with associated random variable Denote Then, and:
Proof.
From Corollary 2 and Theorem 2(d) proof follows. □
Another important result from Theorem 2 is as follows:
Corollary 4.
Let with associated random variable For any we have:
As a consequence, we have for any :
In particular:
Author Contributions
Conceptualization, A.K.; methodology, A.K.; software, A.M.O., A.K. and K.S.N.; validation, K.S.N.; formal analysis, K.S.N. and A.M.; writing—original draft preparation, A.M.O., A.K. and K.S.N.; writing—review and editing, K.S.N. and A.M.; funding acquisition: K.S.N. and A.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
The author K.S. Nisar and A. Morsy thanks to the Deanship of Scientific Research, Prince Sattam bin Abdulaziz University for facilities and support.
Conflicts of Interest
The authors declare no conflict of interest.
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