Abstract
The aim of the paper is twofold: we introduce new positive linear operators acting on continuous functions defined on a simplex and then estimate differences involving them and/or other known operators. The estimates are given in terms of moduli of smoothness and -functionals. Several applications and examples illustrate the general results.
1. Introduction
Differences of positive linear operators were intensively investigated in the last years; see [1–14] and the references therein. The operators involved in these studies act usually on continuous functions defined on real intervals, and the differences are estimated in terms of moduli of smoothness and -functionals. In some papers, operators having equal central moments up to a certain order are considered. Other articles deal with operators constructed with the same fundamental functions and different functionals in front of them.
The study of differences of positive linear operators is important from a theoretical point of view, but also from a practical one. Let and be certain positive linear operators. If we know that is small, we can choose or taking into account other qualities of them like shape-preserving properties and smoothness/Lipschitz preserving properties.
This paper is concerned with differences of positive linear operators acting on continuous functions defined on simplices. For the sake of simplicity, we consider only the case of the canonical simplex in , where the notation is simpler, but the results can be easily translated to an arbitrary simplex in .
We consider the bivariate versions of some classical operators like Bernstein, Durrmeyer, Kantorovich, and genuine Bernstein-Durrmeyer operators. These bivariate versions were already studied in literature from other points of view. We introduce the bivariate versions of other operators: (see [15, 16]) and the operators defined in [17]. All these operators are constructed with the fundamental Bernstein polynomials on the two-dimensional simplex. A different kind of operator is the bivariate version of the univariate Beta operator of Mühlbach and Lupas (see [18–20]); we introduce it and use it in composition with the Bernstein operator to get a useful representation of .
We get estimates of differences of the abovementioned operators, in terms of suitable moduli of smoothness and -functionals.
To resume, the aim of our paper is twofold: we introduce new operators on a simplex and then estimate differences involving them and other known operators.
The list of applications and examples can be enlarged. In particular, we will be interested for a future work in studying differences of bivariate versions of operators, which preserve exponential functions (see [21–23]). We also intend to deepen the study of the newly introduced Beta operators on the simplex and to consider the composition of it with other operators, leading to new applications and-why not-new theoretical aspects/problems. Given a Markov operator (i.e., a positive linear operator which preserves the constant functions), the study of its iterate is important not only in Approximation Theory but also in Ergodic Theory and other areas of research. We intend to investigate from this point of view the newly introduced operators, which are in fact Markov operators.
We end this Introduction by presenting some notation and a fundamental inequality expressed in Lemma 1. Section 2 contains the main theoretical results, while Section 3 is devoted to applications and examples.
Let be the canonical simplex in and denote a space of real-valued continuous functions of two variables defined on , containing the polynomials. Throughout the paper, we will denote by the constant function, namely, and ,will denote the th coordinate functions restricted on , which are given by
Let be a positive linear functional such that . Set
Then, one has
Let be the space of all real-valued (continuous) functions, differentiable on and whose partial derivatives of order can be continuously extended to , having
Lemma 1. If , then
Proof. Consider the line segment connecting with . From Taylor’s formula (see [24], p.245), there is a point on this line segment, different from and , such that Therefore, we can write which gives the result.
2. Difference of Bivariate Positive Linear Operators
Denote by the space of real-valued continuous functions on with the norm . Let be a set of nonnegative integers and for let satisfy . Let and ,, be positive linear functionals such that and . Moreover, let be the set of all for which
Now, consider the bivariate positive linear operators and acting from into defined, for ,by respectively. For future correspondences, we denote where is the -norm in .
In the following, we adopt the definitions of -functional and modulus of smoothness from [25, 26]. Let
For , th order differences on the subset are defined as
The th order modulus of smoothness of is a function given by
Let be the space of all real-valued (continuous) functions, differentiable on and whose partial derivatives of order can be continuously extended to , with the seminorm
For , we shall use the following -functional:
Then, there exist such that for any (see [25, 26])
Here, depends only on (for the general definition onthe spaces of functions on bounded domains, see [25] or, on unbounded domains see [27], p.341.
Theorem 2. If , then where is defined in Lemma 1.
Proof. Let . From Lemma 1, we get
Theorem 3. If , then where , and
Proof. Let . From Theorem 2, we get where is the same notation as in Lemma 1 for . Since partial derivatives of exist and are continuous everywhere in , it follows that is differentiable at every point of the line segment connecting the points and in , . By the mean value theorem (see, e.g., [24], p. 239), there is a point on this line segment such that From (16), we get Moreover, since , (22) gives that Finally, from (18), we obtain
3. Applications
3.1. Difference of Bivariate Bernstein Operators and Their Durrmeyer Variants
For every , and , the th bivariate Bernstein operator is defined by where with , (see, e.g., [28], p. 115).
For , the bivariate Durrmeyer operators are defined by see, e.g., [29].
Now, denoting the bivariate Bernstein operators and bivariate Durrmeyer operators can be written as respectively.
Proposition 4. For bivariate Bernstein operators and their Durrmeyer variants, the following properties hold: (i)If , thenwhere is the same as in Lemma 1 and (ii)If , then
Proof. We need to evaluate the terms in (11). So, we get the following results:
. Therefore, we easily obtain that
Using Maple, one obtains
It is easy to verify that .
Now, for , we obtain
The rest of the proof follows from Theorems 2 and 3.
3.2. Difference of Bivariate Bernstein Operators and the Bivariate Operators
Let be the space of polynomials over of degree at most . In [17], Aldaz et al. introduced a Bernstein operator that fixes and . The operators are given by
Here, for and , we introduce the bivariate form of the operators as follows
Denoting for , , we get
Proposition 5. For bivariate Bernstein operators and bivariate operators , the following properties hold: (i)If , then(ii)If , then
3.3. Difference of Bivariate Bernstein Operators and Bivariate Genuine Bernstein-Durrmeyer Operators
In 1987, Chen [30] and Goodman and Sharma [31] constructed the following positive linear operators where , and
For the historical background of these operators, we refer to [32]. In 1991, Goodman and Sharma [33] constructed and studied the multivariate form of the operators on a simplex. In [34], Sauer deeply studied the multivariate genuine Bernstein-Durrmeyer operators. Here, for , we consider the bivariate form given by with the bivariate Bernstein’s fundamental functions given by (28) (see [33], Formula 1.7). These operators satisfy at the vertices of .
Proposition 6. For bivariate Bernstein operators and bivariate genuine Bernstein-Durrmeyer operators, the following properties hold: (i)If , thenwhere is the same as in Lemma 1 and (ii)If , then
Proof. If we denote then for the bivariate Bernstein operators, we have The bivariate genuine Bernstein-Durrmeyer operators are given by Now, for , we get Hence, we obtain Therefore, and The proof is concluded by using Theorems 2 and 3.
4. The Difference
Let and . The operators are introduced by Paltanea in [35] (see also [15, 16]). These operators are defined by where , , and are Euler’s Beta function.
Here, for , we consider the bivariate form of these operators, given by where
It can be easily seen that, for , we obtain the genuine Bernstein-Durrmeyer operators . On the other hand, these operators have the following limiting behavior.
Theorem 7. For any , one has
Proof. Let , . Then,
Since
we get
Similar results can be obtained for .
Using Korovkin’s theorem (see [36], p. 534, C.4.3.3), it follows . Therefore,
Proposition 8. For the bivariate operators , the following properties hold: (i)If , thenwhere is the same as in Lemma 1 and (ii)If , then
Proof. Since , , we get Therefore, and
5. Difference of Bivariate Bernstein Operators and Their Kantorovich Variants
In 2017, F. Altomare et al. [37] introduced Kantorovich operators on as follows where is given by (28). It can be easily seen that, for , we obtain Kantorovich operators introduced in [38].
If we denote the bivariate Kantorovich operators can be written as
Proposition 9. For bivariate Bernstein operators and bivariate Bernstein-Kantorovich operators, the following properties hold: (i)If , thenwhere is the same as in Lemma 1 and (ii)If , then
Proof. As in the previous examples, taking Bernstein operators as we get Therefore, we easily obtain that Then Moreover, we have Then, the proof follows from Theorems 2 and 3.
6. A Beta Operator on
For , , and , let us define
For , this is the bivariate version of the operator ; see [39] and the references therein.
Theorem 10. is a positive linear operator acting between and . Moreover, and if , , , , integers, then
Proof. It is easy to prove (81) and (82) by direct calculation. It remains to prove that if , then, . To do this, it suffices to verify that is continuous at each point of the boundary of . Let us prove that if then
Let , . For define , , . Then, and are positive linear functionals of norm .
Let . Then, there exists a polynomial function on such that . Using (82), it is easy to verify that
Consequently, there exists with
So, if , we have
This shows that
and then (83) is proved.
The continuity of at the other boundary points can be proved similarly.
Proposition 11. For each , one has
Proof. Using Theorem 10, it is easy to verify that (88) is valid for the functions . But these functions form a Korovkin test system (see [36], p. 534, C.4.3.3), so that (88) holds for each .
In what follows, we formulate a
Conjecture 12. If is convex and , then, the function is decreasing on .
It is supported by the following facts.
(i)The unidimensional version of the conjecture is valid: see [14, 40].(ii) is a positive linear operator preserving the affine functions; this impliesNow, (88) combined with (89) support the conjecture.
(iii)The conjecture is valid for the functions In the sequel, we present two results under the hypothesis that the conjecture is true. To this end, let us introduce some notation.
Let and
Then, the functions and are convex on ; indeed, for each of them, the Hessian matrix is positive semidefinite.
Theorem 13. If and , then
Proof. Let . If the Conjecture is true, we have and . Thus Consequently, Moreover, Now, So, combining (93) and (95), we have proved the theorem.
Theorem 14. If and , then
Proof. It is easy to verify that and, if , then Using these facts and supposing that the conjecture is true, we have Now, Thus, From , we get a similar upper bound for , which concludes the proof.
Data Availability
No data were used to support this study.
Conflicts of Interest
The authors declare no competing financial interests.
Acknowledgments
This work was supported by a Hasso Plattner Excellence Research Grant (LBUS-HPI-ERG-2020-04), financed by the Knowledge Transfer Center of the Lucian Blaga University of Sibiu.