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Review

A Review on Some Linear Positive Operators Defined on Triangles

by
Teodora Cătinaş
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, St. M. Kogălniceanu No. 1, RO-400084 Cluj-Napoca, Romania
Symmetry 2022, 14(9), 1880; https://doi.org/10.3390/sym14091880
Submission received: 9 August 2022 / Revised: 24 August 2022 / Accepted: 2 September 2022 / Published: 8 September 2022
(This article belongs to the Special Issue Numerical Analysis, Approximation Theory, Differential Equations)

Abstract

:
We consider results regarding Bernstein and Cheney–Sharma-type operators that interpolate functions defined on triangles with straight and curved sides and we introduce a new Cheney–Sharma-type operator for the triangle with one curved side, highlighting the symmetry between the methods. We present some properties of the operators, their products and Boolean sums and some results regarding the remainders of the corresponding approximation formulas, using modulus of continuity and Peano’s theorem. Additionally, we consider some numerical examples to show the approximation properties of the given operators.

1. Introduction

Certain interpolation operators have been constructed for functions defined on triangles with straight sides (see, e.g., [1,2,3,4,5,6,7,8,9,10]) and for functions defined on domains with curved sides (see, e.g., [11,12,13,14,15,16,17,18,19,20,21,22,23,24]).
Different types of interpolation operators (Lagrange, Hermite, Birkhoff, Bernstein, Cheney–Sharma, Nielson, generalized Hermite) that match all the boundary information on curved domains (triangles, squares) have been constructed and studied by us (see, e.g., [13,14,15,17,18,21,22]). In these works we have studied the properties of the operators, their products and Boolean sums and the remainders of the corresponding approximation formulas, using modulus of continuity and Peano’s theorem.
Here we consider two standards triangles. First we consider the standard triangle with all straight sides T h (see Figure 1), for which if we consider the parallel lines to the coordinate axes through the point x , y T h , they intersect the sides Γ i , i = 1 , 2 , 3 , of the triangle at the points 0 , y and h y , y , respectively x , 0 and x , h x .
We also consider the standard triangle with one curved side T ˜ h with vertices V 1 = ( 0 , h ) , V 2 = ( h , 0 ) and V 3 = ( 0 , 0 ) , with two straight sides Γ 1 , Γ 2 , along the coordinate axes, and with the third side Γ 3 (opposite to the vertex V 3 ) defined by the one-to-one functions f and g , where g is the inverse of the function f , i.e., y = f ( x ) and x = g ( y ) , with f ( 0 ) = g ( 0 ) = h , for h > 0 . Additionally, we have f ( x ) h and g ( y ) h , for x , y 0 , h . The functions f and g are defined as in [2]. Let F be a real-valued function defined on T ˜ h and ( 0 , y ) ,   ( g ( y ) , y ) , respectively, ( x , 0 ) , ( x , f ( x ) ) be the points at which the parallel lines to the coordinate axes, passing through the point ( x , y ) T ˜ h , intersect the sides Γ i , i = 1 , 2 , 3 (See Figure 2).
The aim of this paper is to survey results regarding Bernstein- and Cheney–Sharma-type operators that interpolate functions defined on triangles with straight sides and with one curved side, obtained in [3,15,18], and to introduce a new Cheney–Sharma-type operator defined on T ˜ h . There is a symmetrical connection between the methods proposed for the triangle with straight sides and the ones for the triangle with curved sides.
Using the interpolation properties of the operators, blending function interpolants can be constructed that exactly match the function on some sides of the given region. There are many important applications of these blending functions in computer-aided geometric design (see, e.g., [1,25,26,27,28]), in finite element method for differential equations (see, e.g., [23,24,25,29,30,31,32]), for construction of surfaces that satisfy some given conditions (see, e.g., [16,20]), in combination with the triangular Shepard method (see, e.g., [33,34]) or in numerical integration formulas (see, e.g., [35]).
The paper is structured in three main sections: Bernstein-type operators, Cheney–Sharma operators of the second kind and Cheney–Sharma operators of the first kind. The first section has two subsections regarding Bernstein-type operators defined on triangle with straight sides and on triangle with one curved side, respectively. The second section has also two subsections regarding the same two types of domains. The last sections contains some new results regarding Cheney–Sharma operators of the first kind defined on triangle with one curved side.

2. Bernstein Type Operator

Since the Bernstein-type operators interpolate a given function at the endpoints of the interval, these operators can also be used as interpolation operators both on triangles with straight sides and with curved sides.

2.1. Bernstein Operator on Triangle with All Straight Sides

Let f be a real-valued function defined on the standard triangle with all straight sides T h (see Figure 1).
Let Δ m x = i h y m , i = 0 , , m and Δ n y = j h x n , j = 0 , , n be uniform partitions of the intervals 0 , h y and 0 , h x .
One considers the Bernstein-type operators B m x and B n y defined by [3]
B m x f x , y = i = 0 m p m , i x , y f i h y m , y ,
where
p m , i x , y = m i x i h x y m i h y m , 0 x + y h ,
respectively
B n y f x , y = j = 0 n q n , j x , y f x , j h x n ,
with
q n , j x , y = n j y j h x y n j h x n , 0 x + y h .
Theorem 1
([3]). If f is a real-valued function defined on T h then:
(i) 
B m x f = f on Γ 2 Γ 3 ,
(ii) 
B m x e i 0 x , y = x i , i = 0 , 1 dex B m x = 1 ,
B m x e 20 x , y = x 2 + x h x y m ,
B m x e i j x , y = y j x i , i = 0 , 1 , j N , y j x 2 + x h x y m , i = 2 , j N ,
where e i j x , y = x i y j .
Proof. 
The interpolation property (i) follows from the relations (see [3])
p m , i 0 , y = 1 , for i = 0 , 0 , for i > 0 ,
and
p m , i h y , y = 0 , for i < m , 1 , for i = m .
The property (ii) follows directly. □
Remark 1.
In the same way there are proved similar results for the operator B n y .

Product and Boolean Sum Operators

Let P m n = B m x B n y and Q n m = B n y B m x be given by
P m n f x , y = i = 0 m j = 0 n p m , i x , y q n , j i h y m , y f i h y m , j m i h + i y m n , Q n m f x , y = i = 0 m j = 0 n p m , i x , j h x n q n , j x , y f i n j h + j x m n , j h x n .
Theorem 2
([3]). The operators P m n and Q n m satisfy the following relations:
(i) 
P m n f x , 0 = Q n m f x , 0 = B m x f x , 0 ,
(ii) 
P m n f 0 , y = Q n m f 0 , y = B n y f 0 , y ,
(iii) 
P m n f x , h x = Q n m f ( x , h x ) = f x , h x , x , y 0 , h .
The proofs follow by a straightforward computation.
Remark 2.
The product operator P m n interpolates the function f at the vertex 0 , 0 and on the hypothenuse x + y = h of the triangle T h .
Let consider the Boolean sums of the Bernstein-type operators B m x and B n y , given by
S m n : = B m x B n y = B m x + B n y B m x B n y , T n m : = B n y B m x = B n y + B m x B n y B m x .
Remark 3.
The Boolean sum is a transfinite (blending) operator.
Theorem 3
([3]). If f is a real-valued function defined on T h then
S m n f | T h = f | T h .
Proof. 
We have
S m n f = B m x + B n y B m x B n y f .
The result follows by the interpolation properties of B m x , B n y and Theorem 2. □

2.2. Bernstein Operator on Triangle with One Curved Side

Let F be a real-valued function defined on the standard triangle with a curved side T ˜ h (see Figure 2). One considers the Bernstein-type operators B m x and B n y defined by [15]
B m x F x , y = i = 0 m p m , i x , y F i m g ( y ) , y ,
with
p m , i x , y = m i x g ( y ) i 1 x g ( y ) m i , 0 x + y g ( y ) ,
and
B n y F x , y = j = 0 n q n , j x , y F x , j n f ( x ) ,
with
q n , j x , y = n j y f ( x ) j 1 y f ( x ) n j , 0 x + y f ( x ) ,
where
Δ m x = i m g ( y ) i = 0 , m ¯ and Δ n y = j n f ( x ) j = 0 , n ¯
are uniform partitions of the intervals [ 0 , g ( y ) ] and [ 0 , f ( x ) ] , with g ( y ) 0 and f ( x ) 0 , for x , y [ 0 , h ] .
Theorem 4
([15]). With the above notations, if F is a real-valued function defined on T ˜ h then:
(i) 
B m x F = F on Γ 2 Γ 3 ,
(ii) 
B n y F = F on Γ 1 Γ 3 ,
and
(iii) 
B m x e i j x , y = x i y j , i = 0 , 1 ; j N ,
B m x e 2 j x , y = x 2 + x ( g ( y ) x ) m y j , j N ,
(iv) 
B n y e i j x , y = x i y j , i N , j = 0 , 1 ,
B n y e i 2 x , y = x i y 2 + y ( f ( x ) y ) n , i N .
Proof. 
The proof of (i) and (ii) is based on the relations:
p m , i 0 , y = 1 , for i = 0 , 0 , for i > 0 ,
p m , i g ( y ) , y = 0 , for i < m , 1 , for i = m ,
and
q n , j ( x , 0 ) = 1 , for j = 0 , 0 , for j > 0 ,
q n , j ( x , f ( x ) ) = 0 , for j < n , 1 , for j = n .
The properties (iii) and (iv) are obtained directly. □
Theorem 5
([15]). If F ( · , y ) C [ 0 , g ( y ) ] and R m x F ) ( x , y = F B m x F then
| R m x F ) ( x , y | 1 + h 2 δ m ω ( F ( · , y ) ; δ ) , y [ 0 , h ] ,
where ω ( F ( · , y ) ; δ ) is the modulus of continuity of the function F with regard to the variable x .
Moreover, if δ = 1 / m then
| R m x F ( x , y ) | 1 + h 2 ω ( F ( · , y ) ; 1 m ) , y [ 0 , h ] .
Proof. 
From the property ( B m x e 00 ) ( x , y ) = 1 , it follows that
| R m x F ( x , y ) | i = 0 m p m , i ( x , y ) | F ( x , y ) F ( i m g ( y ) , y ) | .
Using the inequality
F ( x , y ) F ( i m g ( y ) , y ) 1 δ x i m g ( y ) + 1 ω ( F ( · , y ) ; δ ) ,
one obtains
R m x F ) ( x , y i = 0 m p m , i ( x , y ) 1 δ x i m g ( y ) + 1 ω ( F ( · , y ) ; δ ) 1 + 1 δ i = 0 m p m , i ( x , y ) x i m g ( y ) 2 1 / 2 ω ( F ( · , y ) ; δ ) = 1 + 1 δ x ( g ( y ) x ) m ω ( F ( · , y ) ; δ ) .
Since,
max 0 x g ( y ) x ( g ( y ) x ) = g 2 ( y ) 4 and max 0 y h g 2 ( y ) = h 2 ,
it follows that
max ( x , y ) T ˜ h x ( g ( y ) x ) = h 2 4 ,
hence
| ( R m x F ) ( x , y ) | 1 + h 2 δ m ω ( F ( · , y ) ; δ ) .
For δ = 1 / m , one obtains (1). □
Theorem 6
([15]). If F ( · , y ) C 2 [ 0 , h ] then
( R m x F ) ( x , y ) = x [ x g ( y ) ] 2 m F ( 2 , 0 ) ( ξ , y ) , for ξ [ 0 , g ( y ) ]
and
| ( R m x F ) ( x , y ) | h 2 8 m M 20 F , ( x , y ) T ˜ h ,
where
M i j F = max ( x , y ) T ˜ h F ( i , j ) ( x , y ) .
Proof. 
The proof is based on Peano’s theorem, taking into account that dex ( B m x ) = 1 . □

Product and Boolean Sum Operators

Let P m n = B m x B n y and Q n m = B n y B m x be the products of the operators B m x and B n y .
We have [15]
P m n F x , y = i = 0 m j = 0 n p m , i x , y q n , j i m g ( y ) , y F i m g ( y ) , j n f i m g ( y ) Q n m F x , y = i = 0 m j = 0 n p m , i x , j n f ( x ) q n , j x , y F i m g j n f ( x ) , j n f ( x ) .
Theorem 7
([15]). If F is a real-valued function defined on T ˜ h then:
(i) 
( P m n F ) ( V 3 ) = F ( V 3 ) ,
P m n F = F , on Γ 3
and
(ii) 
( Q n m F ) ( V 3 ) = F ( V 3 ) ,
Q n m F = F , on Γ 3 .
Proof. 
It results from the properties
( P m n F ) ( x , 0 ) = ( B m x F ) ( x , 0 ) , ( P m n F ) ( 0 , y ) = ( B n y F ) ( 0 , y ) , ( P m n F ) ( x , f ( x ) ) = F ( x , f ( x ) ) , x , y [ 0 , h ]
and
( Q n m F ) ( x , 0 ) = ( B m x F ) ( x , 0 ) , ( Q n m F ) ( 0 , y ) = ( B n y F ) ( 0 , y ) , ( Q n m F ) ( g ( y ) , y ) = F ( g ( y ) , y ) , x , y [ 0 , h ] ,
which can be verified by a straightforward computation. □
Let us consider the approximation formula
F = P m n F + R m n P F ,
where R m n P is the corresponding remainder operator.
Theorem 8
([15]). If F C ( T ˜ h ) then
| R m n P F ( x , y ) | ( 1 + h ) ω F ; 1 m , 1 n , ( x , y ) T ˜ h
Proof. 
We have
( R m n P F ) ( x , y ) [ 1 δ 1 i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y x i m g ( y ) + 1 δ 2 i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y y j n f i m g ( y ) + i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y ] ω ( F ; δ 1 , δ 2 ) .
Since,
i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y x i m g ( y ) x ( g ( y ) x ) m , i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y y j n f i m g ( y ) y ( f ( x ) y ) n , i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y = 1 ,
it follows that
( R m n P F ) ( x , y ) 1 + 1 δ 1 x ( g ( y ) x ) m + 1 δ 2 y ( f ( x ) y ) n ω ( F ; δ 1 , δ 2 ) .
But
x g ( y ) x h 2 4 and y f ( x ) y h 2 4 ,
whence,
( R m n P F ) ( x , y ) 1 + 1 δ 1 h 2 m + 1 δ 2 h 2 n ω ( F ; δ 1 , δ 2 )
and
( R m n P F ) ( x , y ) 1 + h ω F ; 1 m , 1 n .
We consider the Boolean sums of the operators B m x and B n y , i.e.,
S m n : = B m x B n y = B m x + B n y B m x B n y , T n m : = B n y B m x = B n y + B m x B n y B m x .
Theorem 9
([15]). If F is a real-valued function defined on T ˜ h then
S m n F T ˜ = F T ˜ T n m F T ˜ = F T ˜ .
Proof. 
The proof follows by a direct verification. □
For the remainder of the Boolean sum approximation formula,
F = S m n F + R m n S F ,
we have the following result.
Theorem 10
([15]). If F C ( T ˜ h ) then
| ( R m n S F ) ( x , y ) | ( 1 + h 2 ) ω ( F ( · , y ) ; 1 m ) + ( 1 + h 2 ) ω ( F ( x , · ) ; 1 n ) + ( 1 + h ) ω ( F ; 1 m , 1 n ) , ( x , y ) T ˜ h .
Proof. 
The identity
F S m n F = F B m x F + F B n y F ( F P m n F )
implies that
| ( R m n S F ) ( x , y ) | | R m x F ( x , y ) | + | R n y F ( x , y ) | + | ( R m n P F ) ( x , y ) |
and the conclusion follows. □

3. Cheney–Sharma Operator of the Second Kind

Let m N and β be a nonnegative parameter. In [36], based on the following Jensen’s identity,
( x + y ) ( x + y + m β ) m 1 = k = 0 m m k x ( x + k β ) k 1 y [ y + ( m k ) β ] m k 1 , ( x , y ) R 2 ,
it was introduced the Cheney–Sharma operator of second kind Q m : C [ 0 , 1 ] C [ 0 , 1 ] , given by
( Q m f ) ( x ) = i = 0 m q m , i ( x ) f ( k m ) ,
q m , i ( x ) = m i x ( x + i β ) i 1 ( 1 x ) [ 1 x + ( m i ) β ] m i 1 ( 1 + m β ) m 1 .
We recall some results regarding these Cheney–Sharma-type operators.
Remark 4.
(1) Notice that for β = 0 , the operator Q m becomes the Bernstein operator.
(2) In [37] it is proved that the Cheney–Sharma operator Q m interpolates a given function at the endpoints of the interval.
(3) In [36,37], there have been proved that the Cheney–Sharma operator Q m reproduces the constant and the linear functions, so its degree of exactness is 1 (denoted dex ( Q m ) = 1 ) .
(4) In [36] it is given the following result
( Q m e 2 ) ( x ) = x ( 1 + m β ) 1 m [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] ,
where e i ( x ) = x i , i N , and
S ( j , m , x , y ) = k = 0 m m k ( x + k β ) k + j 1 [ y + ( m k ) β ] m k ,
j = 0 , m ¯ , m N , x , y [ 0 , 1 ] , β > 0 .
Remark 5.
We may use the Cheney–Sharma operators of second kind Q m x and Q n y as interpolation operators, because they interpolate a given function at the endpoints of the interval.

3.1. Cheney–Sharma Operator on Triangle with All Straight Sides

Let f be a real-valued function defined on the standard triangle with all straight sides T h (see Figure 1).
Let Δ m x = i h y m , i = 0 , m ¯ and Δ n y = j h x n , j = 0 , n ¯ be uniform partitions of the intervals 0 , h y and 0 , h x , for m , n N .
In [19] we study the Cheney–Sharma operator of the second kind for the functions defined on T h . We study their interpolation properties, the corresponding product and Boolean sum operators, and the remainders of the interpolation formulas. The operators are given by
( Q m x f ) ( x , y ) = i = 0 m q m , i ( x , y ) f i h y m , y , ( Q n y f ) ( x , y ) = j = 0 n q n , j ( x , y ) f x , j h x n ,
with
q m , i x , y = m i 1 ( 1 + m β ) m 1 x h y ( x h y + i β ) i 1 ( 1 x h y ) [ 1 x h y + ( m i ) β ] m i 1 , q n , j x , y = n j 1 ( 1 + n b ) n 1 y h x ( y h x + j b ) j 1 ( 1 y h x ) [ 1 y h x + ( n j ) b ] n j 1 ,
where b , β R + .

3.2. Cheney–Sharma Operator on Triangle with One Curved Side

Let F be a real-valued function defined on standard triangle with a curved side T ˜ h (see Figure 2). For m , n N , β , b R + , we have considered the following extensions of the Cheney–Sharma operator of the second kind to the case of functions defined on T ˜ h , see [18]:
( Q m x F ) ( x , y ) = i = 0 m q m , i ( x , y ) F i g ( y ) m , y , ( Q n y F ) ( x , y ) = j = 0 n q n , j ( x , y ) F x , j f ( x ) n ,
with
q m , i x , y = m i 1 ( 1 + m β ) m 1 x g ( y ) ( x g ( y ) + i β ) i 1 ( 1 x g ( y ) ) [ 1 x g ( y ) + ( m i ) β ] m i 1 , q n , j x , y = n j 1 ( 1 + n b ) n 1 y f ( x ) ( y f ( x ) + j b ) j 1 ( 1 y f ( x ) ) [ 1 y f ( x ) + ( n j ) b ] n j 1 ,
where
Δ m x = i g ( y ) m i = 0 , m ¯ and Δ n y = j f ( x ) n j = 0 , n ¯
are uniform partitions of the intervals [ 0 , g ( y ) ] and [ 0 , f ( x ) ] , respectively.
Theorem 11
([18]). If F is a real-valued function defined on T ˜ h then
(i) 
Q m x F = F on Γ 1 Γ 3 ,
(ii) 
Q n y F = F on Γ 2 Γ 3 .
Proof. 
(i) We may write
( Q m x F ) ( x , y ) = 1 ( 1 + m β ) m 1 ( 1 x g ( y ) ) [ 1 x g ( y ) + m β ] m 1 F 0 , y + x g ( y ) ( 1 x g ( y ) ) i = 1 m 1 m i ( x g ( y ) + i β ) i 1 · [ 1 x g ( y ) + ( m i ) β ] m i 1 F i g ( y ) m , y + x g ( y ) ( x g ( y ) + m β ) m 1 F g ( y ) , y .
Considering (8), it follows (i).
(ii) Similarly, writing
( Q n y F ) ( x , y ) = 1 ( 1 + n b ) n 1 ( 1 y f ( x ) ) [ 1 y f ( x ) + n b ] n 1 F x , 0 + y f ( x ) ( 1 y f ( x ) ) j = 1 n 1 n j ( y f ( x ) + j b ) j 1 · [ 1 y f ( x ) + ( n j ) b ] n j 1 F x , j f ( x ) n + y f ( x ) ( y f ( x ) + n b ) n 1 F x , f ( x ) ,
we get (ii). □
Theorem 12
([18]). The operators Q m x and Q n y have the following properties:
(i)
Q m x e i j x , y = x i y j , i = 0 , 1 ;   j N ;
(ii)
Q n y e i j x , y = x i y j , i N ;   j = 0 , 1 , where e i j x , y = x i y j , i , j N .
Proof. 
The proof is based on the Remark 4. □
We consider the approximation formula
F = Q m x F + R m x F ,
where R m x F denotes the approximation error.
Theorem 13
([18]). If F ( · , y ) C [ 0 , g ( y ) ] then we have
| R m x F ( x , y ) | ( 1 + 1 δ A m x 2 ) ω ( F ( · , y ) ; δ ) , δ > 0 ,
where ω ( F ( · , y ) ; δ ) is the modulus of continuity and A m = x ( 1 + m β ) 1 m [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] , with S given in (6).
Proof. 
By Theorem 12 we have that dex ( Q m x ) = 1 , thus we may apply the following property of linear operators (see, e.g., [38])
| ( Q m x F ) ( x , y ) F ( x , y ) | [ 1 + δ 1 ( Q m x e 20 ) ( x , y ) x 2 ] ω ( F ( · , y ) ; δ ) , δ > 0 ,
and taking into account (5), we obtain (9). □
Theorem 14
([18]). If F ( · , y ) C 2 [ 0 , g ( y ) ] then
( R m x F ) ( x , y ) = 1 2 F ( 2 , 0 ) ( ξ , y ) { x 2 x ( 1 + m β ) 1 m [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] } ,
for ξ [ 0 , g ( y ) ] and β > 0 .
Proof. 
Taking into account that dex ( Q m x ) = 1 , by Theorem 12, and applying the Peano’s theorem (see, e.g., [39]), it follows
( R m x F ) ( x , y ) = 0 g ( y ) K 20 ( x , y ; s ) F ( 2 , 0 ) ( s , y ) d s ,
where
K 20 ( x , y ; s ) = ( x s ) + i = 0 m q m , i ( x , y ) i g ( y ) m s + .
For a given ν { 1 , , m } one denotes by K 20 ν ( x , y ; · ) the restriction of the kernel K 20 ( x , y ; · ) to the interval ( ν 1 ) g ( y ) m , ν g ( y ) m , i.e.,
K 20 ν ( x , y ; ν ) = ( x s ) + i = ν m q m , i ( x , y ) i g ( y ) m s ,
whence,
K 20 ν ( x , y ; s ) = x s i = ν m q m , i ( x , y ) i g ( y ) m s , s < x i = ν m q m , i ( x , y ) i g ( y ) m s , s x .
It follows that K 20 ν ( x , y ; s ) 0 , for s x .
For s < x we have
K 20 ν ( x , y ; s ) = x s i = 0 m q m , i ( x , y ) i g ( y ) m s + i = 0 ν 1 q m , i ( x , y ) i g ( y ) m s .
Applying Theorem 12, we obtain
i = 0 m q m , i ( x , y ) i g ( y ) m s = ( Q m x e 10 ) ( x , y ) s ( Q m x e 00 ) ( x , y ) = x s ,
whence it follows that
K 20 ν ( x , y ; s ) = i = 0 ν 1 q m , i ( x , y ) i g ( y ) m s 0 .
So, K 20 ν ( x , y ; · ) 0 , for any ν { 1 , , m } , i.e., K 20 ( x , y ; s ) 0 , for s [ 0 , g ( y ) ] .
By the Mean Value Theorem, one obtains
( R m x F ) ( x , y ) = F ( 2 , 0 ) ( ξ , y ) 0 g ( y ) K 20 ( x , y ; s ) d s , for all 0 ξ g ( y ) ,
with
0 g ( y ) K 20 ( x , y ; s ) d s = 1 2 [ x 2 ( Q m x e 20 ) ( x , y ) ] ,
and using (5) we obtain (10). □
Remark 6.
Analogous results with the ones in Theorems 13 and 14 can be obtained for the remainder R n y F of the formula F = Q n y F + R n y F .

Product and Boolean Sum Operators

Let P m n 1 = Q m x Q n y and P n m 2 = Q n y Q m x be the products of the operators Q m x and Q n y .
We have
P m n 1 F x , y = i = 0 m j = 0 n q m , i x , y q n , j i g ( y ) m , y F i g ( y ) m , j f ( i g ( y ) m ) n ,
and
P n m 2 F x , y = i = 0 m j = 0 n q m , i x , j f ( x ) n q n , j x , y F i g ( j f ( x ) n ) m , j f ( x ) n .
Theorem 15
([18]). If F is a real-valued function defined on T ˜ h then
(i) 
( P m n 1 F ) ( V i ) = F ( V i ) , i = 1 , 2 , 3 ;
( P m n 1 F ) ( Γ 3 ) = F ( Γ 3 ) ,
(ii) 
( P n m 2 F ) ( V i ) = F ( V i ) , i = 1 , 2 , 3 ;
( P n m 2 F ) ( Γ 3 ) = F ( Γ 3 ) ,
Proof. 
By a straightforward computation, we obtain the following properties
( P m n 1 F ) ( x , 0 ) = ( Q m x F ) ( x , 0 ) , ( P m n 1 F ) ( 0 , y ) = ( Q n y F ) ( 0 , y ) , ( P m n 1 F ) ( x , f ( x ) ) = F ( x , f ( x ) ) , x , y [ 0 , h ]
and
( P n m 2 F ) ( x , 0 ) = ( Q m x F ) ( x , 0 ) , ( P n m 2 F ) ( 0 , y ) = ( Q n y F ) ( 0 , y ) , ( P n m 2 F ) ( g ( y ) , y ) = F ( g ( y ) , y ) , x , y [ 0 , h ] ,
and, taking into account Theorem 11, they imply (i) and (ii). □
We consider the following approximation formula
F = P m n 1 F + R m n P 1 F ,
where R m n P 1 is the corresponding remainder operator.
Theorem 16
([18]). If F C ( T ˜ h ) then
( R m n P 1 F ) ( x , y ) ( A m + B n x 2 y 2 + 1 ) ω ( F ; 1 A m x 2 , 1 B n y 2 ) , ( x , y ) T ˜ h ,
where
A m = x ( 1 + m β ) 1 m [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] B n = y ( 1 + n b ) 1 n [ S ( 2 , n 2 , y + 2 b , 1 y ) ( n 2 ) b S ( 2 , n 3 , y + 2 b , 1 y + β ) ]
and ω ( F ; δ 1 , δ 2 ) , with δ 1 > 0 , δ 2 > 0 , is the bivariate modulus of continuity.
Proof. 
Using a basic property of the modulus of continuity we have
( R m n P 1 F ) ( x , y ) [ 1 δ 1 i = 0 m j = 0 n q m , i ( x , y ) q n , j i m g ( y ) , y x i m g ( y ) + 1 δ 2 i = 0 m j = 0 n q m , i ( x , y ) q n , j i m g ( y ) , y y j n f i m g ( y ) + i = 0 m j = 0 n q m , i ( x , y ) q n , j i m g ( y ) , y ] ω ( F ; δ 1 , δ 2 ) , δ 1 , δ 2 > 0 .
Since
i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y x i m g ( y ) ( Q m x e 20 ) ( x , y ) x 2 , i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y y j n f i m g ( y ) ( Q n y e 02 ) ( x , y ) y 2 , i = 0 m j = 0 n p m , i ( x , y ) q n , j i m g ( y ) , y = 1 ,
applying (5), we obtain
( R m n P 1 F ) ( x , y ) { 1 δ 1 [ x ( 1 + m β ) 1 m ] 1 2 · [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] x 2 1 2 + 1 δ 2 [ y ( 1 + n b ) 1 n ] 1 2 · [ S ( 2 , n 2 , y + 2 b , 1 y ) ( n 2 ) b S ( 2 , n 3 , y + 2 b , 1 y + β ) ] y 2 1 2 + 1 } ω ( F ; δ 1 , δ 2 ) .
Denoting
A m = x ( 1 + m β ) 1 m [ S ( 2 , m 2 , x + 2 β , 1 x ) ( m 2 ) β S ( 2 , m 3 , x + 2 β , 1 x + β ) ] , B n = y ( 1 + n b ) 1 n [ S ( 2 , n 2 , y + 2 b , 1 y ) ( n 2 ) b S ( 2 , n 3 , y + 2 b , 1 y + β ) ]
and, taking δ 1 = 1 A m x 2 and δ 2 = 1 B n y 2 , we get (11). □
We consider the Boolean sums of the operators Q m x and Q n y ,
S m n 1 : = Q m x Q n y = Q m x + Q n y Q m x Q n y , S n m 2 : = Q n y Q m x = Q n y + Q m x Q n y Q m x .
Theorem 17
([18]). If F is a real-valued function defined on T ˜ h , then
S m n 1 F T ˜ h = F T ˜ h , S m n 2 F T ˜ h = F T ˜ h .
Proof. 
We have
Q m x Q n y F x , 0 = Q m x F x , 0 , Q n y Q m x F 0 , y = Q n y F 0 , y , Q m x F x , h x = Q n y F ( x , h x ) = ( P m n 1 F ) ( x , h x ) = ( P n m 2 F ) ( x , h x ) = F ( x , h x ) ,
and, taking into account Theorem 11, the conclusion follows. □
We consider the following approximation formula
F = S m n 1 F + R m n S 1 F ,
where R m n S 1 is the corresponding remainder operator.
Theorem 18
([18]). If F C ( T ˜ h ) then
| ( R m n S 1 F ) ( x , y ) | ( 1 + A m x 2 ) ω ( F ( · , y ) ; 1 A m x 2 ) + ( 1 + B n y 2 ) ω ( F ( x , · ) ; 1 B n y 2 ) + ( A m + B n x 2 y 2 + 1 ) ω ( F ; 1 A m x 2 , 1 B n y 2 ) ,
with A m and B n given in (12).
Proof. 
The identity
F S m n 1 F = ( F Q m x F ) + ( F Q n y F ) ( F P m n 1 F )
implies that
| ( R m n S 1 F ) ( x , y ) | | ( R m x F ) ( x , y ) | + | ( R n y F ) ( x , y ) | + | ( R m n P 1 F ) ( x , y ) | ,
and, applying Theorems 13 and 16, we get (13). □

4. Cheney–Sharma Operator of the First Kind

Let m N and β be a non-negative parameter. In [36], based on the following Jensen’s identity
( x + y + m β ) m = k = 0 m m k x ( x + k β ) k 1 [ y + ( m k ) β ] m k , ( ) ( x , y ) R 2 ,
it was introduced the Cheney–Sharma operators of the first kind G m : C [ 0 , 1 ] C [ 0 , 1 ] , given by
( G m f ) ( x ) = i = 0 m q m , i ( x ) f ( k m ) ,
with
q m , i ( x ) = m i x ( x + i β ) i 1 [ 1 x + ( m i ) β ] m i ( 1 + m β ) m .
For F a real-valued function defined on T ˜ h , m , n N , β , b R + , we consider here the new extensions of the Cheney–Sharma operator of the first kind,
( G m x F ) ( x , y ) = i = 0 m r m , i ( x , y ) F i g ( y ) m , y , ( G n y F ) ( x , y ) = j = 0 n r n , j ( x , y ) F x , j f ( x ) n ,
with
r m , i x , y = m i x g ( y ) ( x g ( y ) + i β ) i 1 [ 1 x g ( y ) + ( m i ) β ] m i ( 1 + m β ) m , r n , j x , y = n j y f ( x ) ( y f ( x ) + j b ) j 1 [ 1 y f ( x ) + ( n j ) b ] n j ( 1 + n b ) n ,
where
Δ m x = i g ( y ) m i = 0 , m ¯ and Δ n y = j f ( x ) n j = 0 , n ¯
are uniform partitions of the intervals [ 0 , g ( y ) ] and [ 0 , f ( x ) ] .
Remark 7.
The new extensions of the Cheney–Sharma operator of the first kind, introduced here, have similar properties as the ones of the Cheney–Sharma operator of second kind from Section 3.

5. Numerical Examples

In this section, we consider two test functions for which we plot the graphs of the approximants using the methods presented here, and also we study the maximum approximation errors for the corresponding approximants.
Example 1.
We consider the following test functions, generally used in the literature (see, e.g., [40]):
Gentle : F 1 ( x , y ) = 1 3 exp [ 81 16 ( ( x 0.5 ) 2 + ( y 0.5 ) 2 ) ] , Saddle : F 2 ( x , y ) = 1.25 + cos 5.4 y 6 + 6 ( 3 x 1 ) 2 .
Using Matlab, in Figure 3 we plot the graphs of F 1 , B m x F 1 , P m n F 1 , S m n F 1 , defined on T ˜ h , considering h = 1 , m = 5 , n = 6 and f : [ 0 , 1 ] [ 0 , 1 ] , f ( x ) = 1 x 2 .
In Figure 4 we plot the graphs of Q m x F 1 , Q n y F 1 ,   P m n 1 F 1 , S m n 1 F 1 , on T ˜ h , considering h = 1 , m = 5 , n = 6 , β = b = 1 .
Table 1 contains maximum errors for approximating the functions given in (15) using some Bernstein- and Cheney–Sharma-type operators.

6. Conclusions

By Table 1, Figure 3 and Figure 4 we remark the good approximation properties of the considered Bernstein- and Cheney–Sharma-type operators, especially of the starting operators and the Boolean sum operators, the last being the ones that interpolate on the entire frontier of the domain.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

We are grateful to the referees for careful reading of the manuscript and for their valuable suggestions.

Conflicts of Interest

The author declares no conflict of interest.

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Figure 1. The standard triangle with all straight sides T h .
Figure 1. The standard triangle with all straight sides T h .
Symmetry 14 01880 g001
Figure 2. The standard triangle with one curved side T ˜ h .
Figure 2. The standard triangle with one curved side T ˜ h .
Symmetry 14 01880 g002
Figure 3. The Bernstein extensions for F 1 .
Figure 3. The Bernstein extensions for F 1 .
Symmetry 14 01880 g003
Figure 4. The Cheney–Sharma extensions for T ˜ h .
Figure 4. The Cheney–Sharma extensions for T ˜ h .
Symmetry 14 01880 g004
Table 1. Maximum approximation errors.
Table 1. Maximum approximation errors.
Max Error F 1 F 2
B m x F 0.0525 0.0821
B n y F 0.0452 0.0692
P m n F 0.0858 0.0943
Q n m F 0.0857 0.0944
S m n F 0.0095 0.0144
T n m F 0.0095 0.0112
Q m x F 0.1645 0.1921
Q n y F 0.1670 0.2266
P m n 1 F 0.2403 0.1937
S m n 1 F 0.0900 0.1125
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