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Approximation by Stancu variant of -Bernstein shifted knots operators associated by Bézier basis function
⁎Corresponding author. mfarooq@ut.edu.sa (Md. Nasiruzzaman) nasir3489@gmail.com (Md. Nasiruzzaman)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Abstract
The current paper presents the -Bernstein operators through the use of newly developed variant of Stancu-type shifted knots polynomials associated by Bézier basis functions. Initially, we design the proposed Stancu generated -Bernstein operators by means of Bézier basis functions then investigate the local and global approximation results by using the Ditzian–Totik uniform modulus of smoothness of step weight function. Finally we establish convergence theorem for Lipschitz generated maximal continuous functions and obtain some direct theorems of Peetre’s -functional. In addition, we establish a quantitative Voronovskaja-type approximation theorem.
Keywords
41A25
41A36
33C45
Bernstein basis polynomial
Bézier basis function
λ-Bernstein-polynomial
Shifted knots
Stancu operators
Ditzian–Totik uniform modulus of smoothness
Lipschitz maximal functions
Peetre’s K-functional
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Data availability
This study was not supported by any data.
1 Introduction and preliminaries
One of the most well-known mathematicians in the world, S. N. Bernstein, provided the quickest and most elegant demonstration of one of the most well-known Weierstrass approximation theorems. Bernstein also devised the series of positive linear operators implied by
. The famous Bernstein polynomial, defined in Bernstein (2012), was found to be a function that uniformly approximates on
for all
(the class of all continuous functions). This finding was made in Bernstein’s study. Thus, for any
, the well-known Bernstein polynomial has the following results.
where
are the Bernstein polynomials with a maximum degree of
and
(the positive integers), which defined by
Testing the Bernstein-polynomials’ recursive relation is not too difficult. The recursive relationship for Bernstein-polynomials is quite simple to test.
In 2010, Cai and colleagues introduced
is the shape parameter for the new Bézier bases, which they called
-Bernstein operators. This definition of the Bernstein-polynomials is defined as follows:
Through approximation procedures, researchers have recently developed Bernstein type operators. Among them are the new type
-Bernstein polynomials (Aslan and Mursaleen, 2022), blending type Bernstein– Schurer–Kantorovich Operators (Ayman-Mursaleen et al., 2023), the
-Bernstein–Stancu–Kantorovich operators (Ayman-Mursaleen et al., 2022),
-Bernstein operators via power series summability (Braha et al., 2020),
-Hybrid type operators (Heshamuddin et al., 2023),
-Stancu–Schurer–Kantorovich operators (Heshamuddin et al., 2022), Bernstein–Kantorovich operators in Stancu variation (Mohiuddine and Özger, 2020), the Bernstein–Durrmeyer operators in Genuine modified form Mohiuddine et al. (2018), the new family of Bernstein–Kantorovich operators (Mohiuddine et al., 2017), Bézier bases with Schurer polynomials (Özger, 2020),
-Bernstein–Kantorovich operators (Rahman et al., 2019), Bernstein operators based on Bézier bases (Srivastava et al., 2019), Error estimates using Higher modulus of smoothness (Srivastava and Bisht, 2022), approximation of Bernstein type operators (Zeng and Cheng, 2001) and reference there in. Most recent in article (Ayman-Mursaleen et al., 2024),
-Bernstein-polynomial of shifted knots type operators which are associated by Bézier bases have been constructed and obtained Lemma 1.1 as follows:
For the test function , the operators having:
2 Operators using Bézier bases and calculating fundamental moments
Our goal in this section is to form the Stancu type of
-Bernstein shifted knots operators enhanced by Bézier bases function. Our new construction of these types operators give a valuable research path to researcher in the field of approximation theory. Researcher can use the Bézier bases function, shifted knots properties as well as Stancu type construction in various research article and explore it to get a better observation and more flexibility. For more related results and its applications we would rather have operators of the Bernstein type (Cai et al., 2018; Gadjiev and Ghorbanalizadeh, 2010; Ye et al., 2010). By using the shifted knots properties (see Gadjiev and Ghorbanalizadeh (2010)), we design the Bernstein basis function
as follows:
For operators , we have the following observations:
if take , operators having the polynomials and moments raised in Ayman-Mursaleen et al. (2024) by equality (1.4);
for the choice of and , operators having the polynomials and moments raised in Cai et al. (2018) by Cai et al. (2018);
for the choice of and , with , operators converted to classical Bernstein operators (Bernstein, 2012);
Clearly, instead of Ayman-Mursaleen et al. (2024), Bernstein (2012) and Cai et al. (2018), we might say that our new operators are the most recent approximation results that are generalized.
This paper’s primary structure is as follows: We examine our new operators, (2.2), moments and central moments. We explore an approximation theorem of Korovkin, establish a theorem of local approximation, offer a theorem of convergence for Lipschitz maximal space and generate an asymptotic convergence results of Voronovskaja type.
Take the test function, then for any , the operators defined by (2.2), having the following equalities:
We proof the equalities as follows: Thus finally, we get . □
For the operators , we get the following central moments:
3 Convergence properties of operators
For operators (2.2), we derive various global and local approximation theorems in this section. Using the Ditzian–Totik uniform modulus of smoothness, we first define the uniform convergence property for our operators and then obtain the local and global approximations. Next, we derive some straightforward theorems based on the Lipschitz type maximal approximation property and Peetre’s -functional property. Let we denote , the set of all continuous function on . Given a continuous function in on , we may replace with a real-valued function equipped by norm .
Theorem 3.1 Altomare, 2010; Korovkin, 1953
Let the sequences of positive linear operators for all , is uniformly on . Then, for each we get is uniformly converges for each compact subset contained in .
Regarding all we get is converges uniformly on .
According to Lemma 2.2, it is evident that for any , thus, by applying the famous Bohman–Korovkin–Popoviciu theorem, easy to get operators are uniformly converge to set . □
Theorem 3.3 Gadziev, 1976; Gadjiev, 1974
For the operators , let . We get for all ,
Suppose the operators , which having . For all we obtain
We take in account Theorem 3.3 and famous Bohman–Korovkin-Popoviciu theorem then easily we lead to show that In the view of Lemma 2.2, easy to obtain . For , easy to see Since then , therefore we get . Similarly for , we see which leads to get as . These observations leads to get our proof. □
By employing the uniform modulus of smoothness of Ditzian–Totik, we present some results on global approximations. We go over the fundamental characteristic of the uniform modulus of smoothness for orders first and second, which is and the step-weight function on and suppose if (see Ditzian and Totik (1987)). The set of all continuously functions can be represented as , then the Peetre’s -functional approximation property is given by and for any , and .
Remark 3.5 DeVore and Lorentz, 1993
For a positive real constant
one has the inequality
Let be any step-weight function is concave, then, for all and operators satisfying where and .
Considering an auxiliary operators as follows
Let
for
. Following the property
as
is concave on
and
Assuming and , the inequality is as follows:
We know the relation
The Cauchy–Schwarz inequality yields, Thus, we have by use of , then we get the desired results. □
Next, we estimate the local direct approximation using a Lipschitz-type maximum function, which brings back memories from (Ozarslan and Aktuğlu, 2013). where and be any constant (see Ozarslan and Aktuğlu (2013)).
Let , then for any we obtain
Take for any . First, we want to show that our result is valid for . Thus for any we have By using and by Cauchy–Schwarz inequality, we see
Consequently, for our result valid. Moreover, take , then the following requirements are also satisfied by applying the monotonicity property to operators and introducing the Hölder’s property:
However, we also prove another local approximation feature for the operators of
by using the Lipschitz maximum function. Let
be such that
and
belong to the same class of maximal functions of Lipschitz type (see Lenze (1988)).
Let , then for all (the collection of all bounded and continuous functions on ), then operators satisfying where is given by (3.7) and .
With the help of the Höglider inequality, writing This outcome give desired proof. □
4 Voronovskaja type asymptotic formula
Based on the article (Barbosu, 2002; Özger et al., 2020), we examine the quantitative Voronovskaja-type approximation theorem and derive the Voronovskaja-type approximation properties for our novel operators . By use of the modulus of smoothness properties allows here to see an explanation as follows: Here and , and related Peetre’s -functional given by: where and , which represents the whole functions that are entirely continuous on the intervals . There is a positive constant that allows for:
Regarding all , it verify that where , a constant, and , which defined by Lemma 2.3.
Given that
, the Taylor series expansion can be allow:
then easy to get
For any , we examine
If
, we can write using Taylor’s series expansion as follows:
Moreover,
as
, where
and specified for Peano form of remainder. Using the operators
to the equality (4.5), then easy to see
Cauchy–Schwarz inequality gives us
5 Graphical analysis
This section will provide several MATLAB-assisted numerical examples with explanatory images.
Let , and . Fig. 1 illustrates how the operator converges to the function .
Let , and . Fig. 2 illustrates how the operator converges towards .

- Convergence of the operator towards the function
.
These examples show us that when we take higher values of
, the operators’ approximations of the function get better. Observe that the operators (2.2) reduce to operators (1.2) for
.Convergence of the operator towards
.
Comparison of convergence of the operator with the previous operator.
Let . For comparison of convergence of constructed operator (1.6) Fig. 3 displays (green and pink) with the previously defined operator (1.5)(blue). This image clearly shows that the created operator provides a more accurate approximation to than the operator that was previously specified.
6 Conclusion & observation
Our new operators (2.2) are the ones that we conclude in this article as the -Bernstein Stancu type generated operators associated by shifted knots of Bézier basis function. For the selection of in the equality (2.2), it is evident that our new operators decreased to the most recent operators by the equality (1.4) (see Ayman-Mursaleen et al. (2024)). Additionally, for the choice of and the equality (2.2) reduced to the cited article (Cai et al., 2018) by equality (1.2) given by Cai et al. Based on these findings, we conclude that rather than (Ayman-Mursaleen et al., 2024; Bernstein, 2012; Cai et al., 2018), our novel operators are more generalized previous sorts of published research articles.
Funding
This research article did not receive any funding.
CRediT authorship contribution statement
Ahmed Alamer: Visualization, Funding acquisition. Md. Nasiruzzaman: Writing – review & editing, Writing – original draft.
Declaration of Generative AI and AI-assisted technologies in the writing process
The authors affirm that they did not utilize any artificial intelligence (AI) tools in the writing of this article.
Acknowledgments
Authors are extremely grateful to the reviewers for their valuable comments and crucial role in leading to a better presentation of this manuscript.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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