Abstract
The purpose of this paper is to introduce a modification of q-Dunkl generalization of exponential functions. These types of operators enable better error estimation on the interval than the classical ones. We obtain some approximation results via a well-known Korovkin-type theorem and a weighted Korovkin-type theorem. Further, we obtain the rate of convergence of the operators for functions belonging to the Lipschitz class.
Keywords: q-integers, Dunkl analogue, Szász operator, q-Szász-Mirakjan-Kantorovich, modulus of continuity, Peetre’s K-functional
Introduction and preliminaries
In 1912, Bernstein [1] introduced the following sequence of operators defined by
| 1.1 |
for and .
In 1950, for , Szász [2] introduced the operators
| 1.2 |
In the field of approximation theory, the application of q-calculus emerged as a new area. The first q-analogue of well-known Bernstein polynomials was introduced by Lupaş by applying the idea of q-integers [3]. In 1997, Phillips [4] considered another q-analogue of the classical Bernstein polynomials. Later on, many authors introduced q-generalizations of various operators and investigated several approximation properties [5–14].
We now present some basic definitions and notations of the q-calculus which are used in this paper [15].
Definition 1.1
For , the q-number is defined by
| 1.3 |
Definition 1.2
For , the q-factorial is defined by
| 1.4 |
Our investigation is to construct a linear positive operator generated by a generalization of the exponential function defined by (see [16])
where
and
The recursion formula for is given by
where and
Sucu [17] defined a Dunkl analogue of Szász operators via a generalization of the exponential function [16] as follows:
| 1.5 |
where , , , .
Cheikh et al. [18] stated the q-Dunkl classical q-Hermite-type polynomials and gave definitions of q-Dunkl analogues of exponential functions and recursion relations for and ,
| 1.6 |
| 1.7 |
where
| 1.8 |
Some of the special cases of are defined as follows:
In [19], Içöz and Çekim gave the Dunkl generalization of Szász operators via q-calculus as follows:
| 1.9 |
for , , and .
Previous studies demonstrate that providing a better error estimation for positive linear operators plays an important role in approximation theory, which allows us to approximate much faster to the function being approximated.
Motivated essentially by Içöz and Çekim’s [19] recent investigation of Dunkl generalization of Szász-Mirakjan operators via q-calculus, we show that our modified operators have better error estimation than those in [19]. We also prove several approximation results and successfully extend the results of [19]. Several other related results are also discussed.
Construction of operators and moments estimation
Let be a sequence of real-valued continuous functions defined on with such that
| 2.1 |
Then, for any , , and , we define
| 2.2 |
where , are defined in (1.6), (1.8) by [17] and with and
| 2.3 |
Lemma 2.1
Let be the operators given by (2.2). Then, for each , , we have the following identities/estimates:
,
,
.
Proof
As , and
then (1) and (2) hold. Similarly,
From [19] we know that
| 2.4 |
Now, by separating to the even and odd terms and using (2.4), we get
Since
| 2.5 |
we have
On the other hand, we have
This completes the proof. □
Lemma 2.2
Let the operators be given by (2.2). Then, for each , , we have
,
.
Proof
For the proof of this lemma, we use Lemma 2.1. In view of
(1) follows immediately.
Also
This proves (2). □
Main results
We obtain the Korovkin-type approximation properties for our operators (see [20–22]).
Let be the set of all bounded and continuous functions on , which is a linear normed space with
Let
Theorem 3.1
Let be the operators defined by (2.2). Then, for any function , ,
is uniform on each compact subset of , where , .
Proof
The proof is based on Lemma 2.1 and the well-known Korovkin theorem regarding the convergence of a sequence of linear positive operators, so it is enough to prove the conditions
uniformly on .
Clearly, () we have
This completes the proof. □
We recall the weighted spaces of the functions on , which are defined as follows:
where is a weight function and is a constant depending only on f. Note that is a normed space with the norm .
Lemma 3.2
[23]
The linear positive operators , act from if and only if
where , and K is a positive constant.
Theorem 3.3
[23]
Let be a sequence of positive linear operators acting from and satisfying the condition
Then, for any function , we have
Theorem 3.4
Let be the operators defined by (2.2). Then, for each function , we have
Proof
From Lemma 2.1 and Theorem 3.3, for , the first condition is fulfilled. Therefore,
Similarly, from Lemma 2.1 and Theorem 3.3, for we have that
which implies that
Hence
This completes the proof. □
Rate of convergence
Let , the space of all bounded and continuous functions on and , . Then, for , the modulus of continuity of f denoted by gives the maximum oscillation of f in any interval of length not exceeding , and it is given by
| 4.1 |
It is known that for , and for any we have
| 4.2 |
Now we calculate the rate of convergence of operators (2.2) by means of modulus of continuity and Lipschitz-type maximal functions.
Theorem 4.1
Let be the operators defined by (2.2). Then, for , and , we have
where
| 4.3 |
Proof
We prove it by using (4.1), (4.2) and the Cauchy-Schwarz inequality. We can easily get
if we choose , and by applying the result (2) of Lemma 2.2, we get the result. □
Remark 4.2
For the operators defined by (1.9) we may write that, for every , and ,
| 4.4 |
where by [19] we have
| 4.5 |
Now we claim that the error estimation in Theorem 4.1 is better than that of (4.4) provided and , . Indeed, for , and , it is guaranteed that
| 4.6 |
| 4.7 |
which implies that
| 4.8 |
Now we give the rate of convergence of the operators defined in (2.2) in terms of the elements of the usual Lipschitz class .
Let , and . The class is defined as
| 4.9 |
Theorem 4.3
Let be the operators defined in (2.2).Then, for each (, ) satisfying (4.9), we have
where is given in Theorem 4.1.
Proof
We prove it by using (4.9) and Hölder’s inequality. We have
Therefore,
This completes the proof. □
Let
| 4.10 |
with the norm
| 4.11 |
also
| 4.12 |
Theorem 4.4
Let be the operators defined in (2.2). Then for any we have
where is given in Theorem 4.1.
Proof
Let . Then, by using the generalized mean value theorem in the Taylor series expansion, we have
By applying the linearity property on , we have
which implies that
From (4.11) we have ,
The proof follows from (2) of Lemma 2.2. □
The Peetre’s K-functional is defined by
| 4.13 |
where
| 4.14 |
There exists a positive constant such that , , where the second-order modulus of continuity is given by
| 4.15 |
Theorem 4.5
For , and , we have
where M is a positive constant, is given in Theorem 4.3 and is the second-order modulus of continuity of the function f defined in (4.15).
Proof
We prove this by using Theorem 4.4
From (4.11), clearly, we have .
Therefore,
where is given in Theorem 4.1.
By taking infimum over all and by using (4.13), we get
Now, for an absolute constant in [24], we use the relation
This completes the proof. □
Conclusion
The purpose of this paper is to provide a better error estimation of convergence by modification of the q-Dunkl analogue of Szász operators. Here we have defined a Dunkl generalization of these modified operators. This type of modification enables better error estimation on the interval if compared to the classical Dunkl-Szász operators [19]. We obtained some approximation results via the well-known Korovkin-type theorem. We have also calculated the rate of convergence of operators by means of modulus of continuity and Lipschitz-type maximal functions.
Acknowledgements
The authors gratefully acknowledge the financial support from King Abdulaziz University, Jeddah, Saudi Arabia.
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors of the manuscript have read and agreed to its content and are accountable for all aspects of the accuracy and integrity of the manuscript.
Contributor Information
M Mursaleen, Email: mursaleenm@gmail.com.
Md Nasiruzzaman, Email: nasir3489@gmail.com.
Abdullah Alotaibi, Email: mathker11@hotmail.com.
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