1. Introduction
Since the famous Bernstein polynomial was proposed in 1912, the study of Bernstein type operators has not ceased. In 2017, Chen et al. [
1] introduced and studied the monotonic, convex properties and also some other important properties of a new generalized positive linear Bernstein operators with parameter
which are defined as
where
,
,
,
,
,
, and
is defined by
In the same year, Mohiuddine et al. [
2] constructed the Kantorovich type of these family of Bernstein operators (
1). These operators they introduced are
where
,
for
are defined in Equation (
2).
Very recently, Cai and Xu [
3] proposed the
–Bernstein operators as
where
,
,
,
and
Note that the first term on the right-hand side of the above equation equals 0 when
, and the second term on the right-hand side of the above equation equals 0 when
. As we know, the application of
q-integers in approximation theory has been a hot topic in recent decades. Even recently, there have also been many papers mentioned about the
q-analogue of Bernstein type operators, such as [
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14].
Motivated by the research above, in the next section, we will introduce bivariate
-Bernstein–Kantorovich operators
and
operators of bivariate
-Bernstein–Kantorovich type
. In
Section 3, we compute the moments and central moments of
. In
Section 4, we investigate the degree of approximation for
. In
Section 5, we estimate the convergence of
for
B-continuous and
B-differentiable functions.
We evoke some definitions based on
q-integers; details can be seen in [
15,
16].
q-integers by
are denoted for any fixed real number
and each nonnegative integer
s, where
In addition,
q-factorial and
q-binomial coefficients are defined as follows:
is defined by
The
q-Jackson integral on
is defined as
2. Construction of Operators
For the convenience, we denote , .
We introduce the bivariate
-Bernstein–Kantorovich operators as follows: for
,
,
and
are any fixed real numbers in
,
where
, (
are defined in Equation (
4),
.
The
operators of the bivariate
-Bernstein–Kantorovich type are as in the below:
where
,
, (
are defined in Equation (
4),
.
3. Auxiliary Results
In order to prove the main conclusion of this paper, the following lemmas are given:
Lemma 1. (See [3]) The following equalities hold: Lemma 2. Let , , and we give the following equalities: Proof. From Equation (
5), we have
Next, with the help of
q-Jackson integrals, we obtain
Using the above Equation (
5), and Lemma 1, we obtain
Similarly, we get Equation (
9) easily. Finally, by via
q-Jackson integrals and
, we have
From the above Equation (
5), and Lemma 1, we get
We can obtain Equation (
11) using the same method. Lemma 2 is proved. □
Corollary 1. With the help of Lemma 2, we obtain Lemma 3. - (i)
The (α, q)-Bernstein operators may be expressed as follows:where , , , with . - (ii)
The higher-order forward difference of may be expressed as follows:where .
Lemma 4. For , the following equalities are hold Proof. For
, by using Lemma 3, we have the following statements:
By
of Lemma 3, Equations (
16)–(
20), and some necessary computations, we have
Hence, we obtain Equation (
14), using the similar methods, we can get Equation (
15). Lemma 3 is proved. □
Lemma 5. Let , be the bivariate test functions. Then, we have the following equalities:where . Proof. Using
q-Jackson integrals, we get
Then, Equation (
21) can be obtained by Lemma 1, Lemma 4, and some computations. In addition, we can get Equation (
22). Similarly, we have
using Lemmas 1 and 4, we can obtain Equations (
23) and (
24). □
Corollary 2. For fixed real in , from Corollary 1, Lemma 5, and, by some computations, we can getwhere , are some positive constants. 4. Approximation Properties for
Let
,
,
be the space of all real valued continuous functions on
with the norm
. For
,
, the complete modulus of continuous for the bivariate case is as below:
Furthermore,
satisfies the following features:
With respect to
x and
y, the partial modules of continuity are given by
For more information about these definitions, see [
17]. Let
be the space of all functions
such that
,
for
belong to
. The norm on the space
is as below:
For
,
, the Peetre’s
K-functional is defined as
We have
where
C is a constant and independent of
and
f,
is the second modulus of continuity of bivariate function
f.
Now, the estimate of the rate of convergence of is obtained.
Theorem 1. For , the following inequality is givenwhere and are as in Equations (12) and (13). Proof. By the linearity of
, using Corollary 1 and the above property
, we have
Then, from the linear property of
and Cauchy–Schwarz inequality, one can obtain Theorem 1 by the fact that
Theorem 1 is proved. □
Theorem 2. For , the following inequality is obtainedwhere and are as in Equations (12) and (13). Proof. With the help of partial moduli of continuity above and Cauchy–Schwarz inequality, we get
Theorem 2 is proved. □
Theorem 3. For , the following inequality is derived:where C is a positive constant, , and are defined in Equations (12) and (13). Proof. For
, the auxiliary operators are as follows:
Then, we get
by using Lemma 2. Let
. By Taylor’s expansion,
Applying
on both sides of the above equation and using Equation (
25), we get
On the one hand, by Equations (
5) and (
25), and Lemma 2, we obtain
Now, Equation (
25) and Inequality (
27) imply
Finally, by the relationship between Peetre’s
K-functional and second modulus of continuity, we have
where
C is a positive constant,
and
are defined in Equations (
12) and (
13). Theorem 3 is proved. □
Finally, we derive the rate of convergence of
via functions of Lipschitz class
if
Theorem 4. Letting , the following inequality holds:where M is a positive constant, , and are as in (12) and (13). Proof. Since
are positive linear operators and
, then we have
with the help of the Hölder’s inequality, respectively, we get
where
M is a positive constant,
, and
are as in Equations (
12) and (
13). □
5. Approximation Properties for
Let
X and
Y be compact real intervals, we give the following definitions, which can be referred to [
18,
19,
20].
- (i)
f is called
B-continuous function in
∈
if
where
.
- (ii)
f is
B-differentiable function in
and denoted by
if it exists, and the following limit is finite:
- (iii)
f is B-bounded on if there exists such that for any , .
- (iv)
: the space of all bounded functions on .
- (v)
: the space of all continuous functions on .
- (vi)
with the norm .
- (vii)
.
- (viii)
.
- (ix)
For
,
,
is called the mixed modulus of smoothness.
- (x)
Let
be linear positive operator, for any
,
,
is called the
operator.
In order to estimate the rate of convergence of , we give the following known results.
Theorem 5. (See [21]) Let be a linear positive operator and the associated GBS operator. Then, for any , any and any , we have Theorem 6. (See [22]) Let be a linear positive operator and the associated GBS operator. Then, for any with , any and any , we have Now, the rate of convergence of to is given.
Theorem 7. For , the following inequality holds:where is a positive constant. Proof. Using Corollary 2, we have
applying Theorem 5, we get
Therefore, Theorem 7 can be derived by choosing and . □
Finally, the rate of convergence of to is given.
Theorem 8. Let , , and , the following inequality holds:where is a positive constant. Proof. For
and
, we have
Then, using Theorem 6 and Corollary 2, we have
Hence, taking , , we obtain the desired result of Theorem 8. □
6. Conclusions
In the present paper, a family of bivariate -Bernstein–Kantorovich operators and a family of operators of bivariate -Bernstein–Kantorovich type are introduced, the degree of approximation for is investigated by using the definitions of partial moduli of continuity and K-functional, and the rate of convergence of for B-continuous and B-differentiable functions is also estimated.
Author Contributions
All authors contributed equally to this work.
Funding
This work is supported by the National Natural Science Foundation of China (Grant Nos. 11601266, 11626031), the Project for High-level Talent Innovation and Entrepreneurship of Quanzhou (Grant No. 2018C087R), the Program for New Century Excellent Talents in Fujian Province University and Sponsoring Agreement for Overseas Studies in Fujian Province, the Key Natural Science Research Project in Universities of Anhui Province (Grant No. KJ2019A0572), the Philosophy and Social Sciences General Planning Project of Anhui Province of China (Grant No. AHSKYG2017D153) and the Natural Science Foundation of Anhui Province of China (Grant No. 1908085QA29).
Acknowledgments
We thank the Fujian Provincial Key Laboratory of Data-Intensive Computing, the Fujian University Laboratory of Intelligent Computing and Information Processing, and the Fujian Provincial Big Data Research Institute of Intelligent Manufacturing of China.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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