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Abstract
In this paper, we introduce modified (p, q)-Bernstein–Schurer operators and discuss their statistical approximation properties based on Korovkins type approximation theorem. We compute the rate of convergence and also prove a Voronovskaja-type theorem.
Public Interest Statement
In this paper, we have modified the (p, q)-Bernstein–Schurer operators and discussed their statistical approximation properties based on Korovkins type approximation theorem. We have also established the rate of convergence of these operators using the modulus of continuity. Furthermore, we have proved a Voronovskaja-type theorem. One of its advantages of using the extra parameter p has been mentioned in Mursaleen, Faisal Khan and Asif Khan (Citation2016) to study (p, q)-approximation by Lorentz operators in compact disk. Another nice application has been given by Khan, Lobiyal and Kilicman (Citation2015) and Khan and Lobiyal (Citation2015) in computer-aided geometric design and applied these Bernstein bases for construction of (p, q)-Bézier curves and surfaces based on (p, q)-integers.
1. Introduction and preliminaries
In Lupaş (Citation1987) introduced the first q-analogue of the classical Bernstein operators and investigated its approximating and shape-preserving properties. Another q-generalization of the classical Bernstein polynomial is due to Phillips (Citation1997). Several generalizations of well-known positive linear operators based on q-integers were introduced and their approximation properties have been studied by several researchers.
Recently, Mursaleen et al. introduced (p, q)-calculus in approximation theory and constructed the (p, q)-analogue of Bernstein operators Mursaleen, Ansari, and Khan (Citation2015a) and (p, q)-analogue of Bernstein–Stancu operators (Mursaleen, Ansari, & Khan, Citation2015b). Most recently, the (p, q)-analogue of some more operators has been studied in Acar (Citation2010), Acar, Aral, and Mohiuddine (Citation2016a,Citation2016b), Cai and Zhou (Citation2016), Mursaleen, Alotaibi, and Ansari (Citation2016), Mursaleen and Nasiruzzaman (Citation2016), Mursaleen, Nasiuzzaman, and Nurgali (Citation2015) and Mursaleen and Nasiruzzaman (Citation2015). One of its advantages of using the extra parameter p has been mentioned in Mursaleen, Khan, and Khan (Citation2016) to study (p, q)-approximation by Lorentz operators in compact disk. Another nice application has been given by Khan et al. (Citation2015) and Khan and Lobiyal (Citation2015) in computer-aided geometric design and applied these Bernstein bases for construction of (p, q)-Bézier curves and surfaces based on (p, q)-integers.
The (p, q)-integer was introduced to generalize or unify several forms of q-oscillator algebras well known in the Physics literature related to the representation theory of single-parameter quantum algebras. The (p, q)-integer is defined by(1.1)
(1.1)
where
The (p, q)-binomial expansion is
The (p, q)-binomial coefficients are defined by
In Schurer (Citation1962) introduced and studied the operators defined for any
and d be fixed in
and any function
as follows:
(1.2)
(1.2)
In Muraru (Citation2011) constructed the q-Bernstein–Schurer operators defined by(1.3)
(1.3)
Mursaleen et al. (Citation2015) introduced the generalized (p, q)-analogue of Bernstein–Schurer operators as follows:(1.4)
(1.4)
.
2. Construction of operators
We consider and for any
, d is fixed and
. We define the modified (p, q)-Bernstein–Schurer operators for
as follows:
(2.1)
(2.1)
where . In case of
, the operators turn out the modified q-Schurer operators defined in Mursaleen et al. (mnn) and if we replace
by x, then we get (1.3). Moreover, if we take
and
, we get (p, q)-Bernstein operators defined in Mursaleen et al. (Citation2015a).
Lemma 2.1
Let be the operators defined by (2.1). Then, for any function
,
we have
(i) |
| ||||
(ii) |
| ||||
(iii) |
| ||||
(iv) | |||||
(v) |
Proof
(i) | For | ||||
(ii) | Using | ||||
(iii) | Using | ||||
(iv) | we have | ||||
(v) | we have |
Lemma 2.2
Let , and for any
, we have
(i) | |||||
(ii) | |||||
(iii) | |||||
(iv) |
3. Statistical approximation
First, we recall the concept of statistical convergence for sequences of real numbers which were introduced by Fast (Citation1951) and further studied by many others. Let and
. The natural density of K is defined by
if the limit exists, where
denotes the cardinality of the set
. A sequence
of real numbers is said to be statistically convergent to L, provided that for every
, the set
has natural density zero, that is for each
In this case, we write Note that every convergent sequence is statistically convergent but not conversely. For example, let
be defined by
then, but u is not convergent. Recently, the idea of statistical convergence has been used in proving some approximation theorems by various authors and it was found that the statistical versions are stronger than the classical ones. Authors have used many types of classical operators and test functions to study the Korovkin-type approximation theorems which further motivate continuation of this study. After the paper of Gadjiev and Orhan (Citation2002), different types of summability methods have been deployed in approximation process, for example, Mursaleen, Khan, Srivastava, and Nisar (Citation2013), Mursaleen and Kilicman (Citation2013). In this section, we obtain the Korovkin-type weighted statistical approximation properties for these operators.
Let be the space of all bounded and continuous functions on
Then,
is a normed linear space with
. Let
denote the modulus of continuity which has the following properties:
(i) |
| ||||
(ii) |
| ||||
(iii) |
for any For
and
it is obvious that
In order to reach to convergent result of the operator
, we take a sequence
,
such that
(3.1)
(3.1)
(3.2)
(3.2)
Theorem 3.1
Let be the sequence of the operators (2.1) and the sequences
,
satisfy (3.1) and (3.2) and
. Then, for any function
,
Proof
Let , where
. Since
we can write
as
By condition (3.1), it can be observed that
Similarly, since we can write
as
By condition (3.1), it can be observed that
Lastly, we have
Now for a given , let us define the following sets
It is obvious that . Then, we obtain
By conditions (3.1) and (3.2), we have
So we have
Since
we get
which implies that
This completes the proof of the theorem.
4. Rates of convergence
We will estimate the rate of convergence in terms of modulus of continuity. Let , and 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 the relation
It is known that for
and for any
, one has
(4.1)
(4.1)
Theorem 4.1
If , then
where
Proof
Using the Cauchy inequality and lemma (2.1), we have
Choosing
as when
, we obtain the desired result.
The Peetre’s K-functional is defined by
where
Then, there exists a positive constant such that
, where the second-order modulus of continuity is given by
Theorem 4.2
Let and
. Then, for all
, there exists a constant
such that
where
Proof
Let . Then, from Taylor’s expansion, we get
Now by lemma (2.2), we have
Hence, we get
On the other hand, we have
Since
we have
Now taking the infimum on the right-hand side over all , we get
In the view of the property of K-functional, we get
This completes the proof.
Now we give the rate of convergence of the operators in terms of the elements of the usual Lipschitz class
.
Let ,
and
. We recall that f belongs to the class
if the inequality
is satisfied.
Theorem 4.3
Let . Then, for each
, we have
where
Proof
By the monotonicity of the operators , we can write
where
Now applying the Hölder’s inequality
Choosing ,
we obtain
Hence, the desired result is obtained.
5. Voronovskaja-type theorem
Theorem 5.1
Let be such that
. Let the sequences
,
satisfy
such that
and
as
, where
. Suppose that
. Then
uniformly on , where
Proof
By Taylor’s formula, we may write
where r(t, x) is the remainder term and . Therefore, we have
By the Cauchy–Schwartz inequality, we have(5.1)
(5.1)
Observe that , and
; then, it follows from Theorem 3.1 that
(5.2)
(5.2)
uniformly with respect to , in view of the fact that
. Now from (5.1), (5.2) and Lemma 2.2 (ii), we get
(5.3)
(5.3)
Now we compute the following:(5.4)
(5.4)
where depending on the sequence
.
Finally, from (5.3), (5.4) and (5.5), we get the required result. This completes the proof of the theorem.
Additional information
Funding
Notes on contributors
M. Mursaleen
The first author is the PhD supervisor of other two co-authors. Presently, we have two groups of students working on different topics, e.g. sequence spaces, measures of non-compactness, approximation theory, differential and integral equations. One of the groups is working on approximation of positive linear operators, their q- and (p, q)-generalizations. Presently, the first author is a full-professor and chairman of the Department of Mathematics. Recently, he has received the award of Outstanding Researcher of the Year-2014 of Aligarh Muslim University.
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