• No results found

6.On Cheney-Sharma Chlodovsky Operators

N/A
N/A
Protected

Academic year: 2020

Share "6.On Cheney-Sharma Chlodovsky Operators"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

(1)

ISSN: 1821-1291, URL: http://www.bmathaa.org Volume 11 Issue 1(2019), Pages 36-43.

ON CHENEY-SHARMA CHLODOVSKY OPERATORS

DILEK S ¨OYLEMEZ, FATMA TAS¸DELEN

Abstract. The main purpose of this paper is to show that Cheney-Sharma Chlodovsky operators preserve properties of the function of modulus of con-tinuity and Lipschitz condition of a given Lipschitz continuous function f.

Furthermore, we give a result for these operators whenfis a convex function.

1. Introduction

The Bernstein polynomialsBn :C[0,1]→C[0,1] are defined by n

X

k=0 f

k n

n k

xk(1−x)n−k, x∈[0,1], n∈N.

In 1982, Lindvall [21] proved that Bernstein polynomials preserve the Lipschitz constant and order of a Lipschitz continuous function using a probabilistic method. Later, Brown, Elliott and Paget [7] gave an elementary proof for the same result. Furthermore, using similar method as in [7], Li [20] showed that Bernstein poly-nomials preserve the properties of the function of modulus of continuity. These problems were investigated for some linear positive operators via elementary meth-ods or probabilistic methmeth-ods (see, for instance [3], [4], [5], [6], [12], [13] [18], [19], [28] ).

In [10], Chlodovsky introduced the classical Bernstein-Chlodovsky polynomials as a generalization of Bernstein polynomials on unbounded sets. For everyn∈N,

f ∈C[0,∞) and x∈ [0,∞), these polynomialsCn : C[0,∞)→C[0,∞) defined by

Cn(f, x) :=  

 n P k=0

f knbn n

k x

bn k

1− x bn

n−k

, if 0≤x≤bn

f(x) , ifx > bn

, (1.1)

where 0≤x≤bn and{bn}is a positive sequence with properties: limn→∞bn=∞, limn→∞(bn/n) = 0.

Recently, some authors have studied some Chlodovsky type polynomials which may be found in ( [4], [8], [14], [15], [16], [17], [22]).

2000Mathematics Subject Classification. 41A36.

Key words and phrases. Lipschitz continuous function; Cheney-Sharma Chlodovsky operators; modulus of continuity function.

c

2019 Universiteti i Prishtin¨es, Prishtin¨e, Kosov¨e. Submitted October 18, 2018. Published February 18, 2019. Communicated by F. Marcellan.

(2)

It is known that the Abel-Jensen equalities are given by the following formulas (see [2], p.326)

(u+v+nβ)n−1= n X

k=0 n

k

u(u+kβ)k−1v[v+ (n−k)β]n−k−1 (1.2) and

(u+v) (u+v+mβ)m−1= m X

k=0 m

k

u(u+kβ)k−1v[v+ (m−k)β]m−k−1,

(1.3) whereu,vandβ∈R. By means of these equalities Cheney-Sharma [9], introduced the following Bernstein type operators, forf ∈C[0,1],x∈[0,1] andn∈N,

Qn(f;x) = (1 +nβ)1− n

n X

k=0 f

k n

n k

x(x+kβ)k−1tnk,0(x,1)n−k (1.4) and

Gn(f;x) = (1 +nβ)1−n n X

k=0 f

k n

n k

x(x+kβ)k−1(1−x)

tk,n0(x,1)n−k−1 ,

(1.5) whereβ is a nonnegative real parameter and the notation

tk,jn (x, z) = 1−

x

z + (n−k−j)β

is used for convenience. It is obvious that forβ = 0 these operators reduce to the classical Bernstein operators. Cheney-Sharma proved that ifnβn→ ∞as n→ ∞, then forf ∈ C[0,1], these operators uniformly converge to f on [0,1]. In [5], the authors showed that Cheney-Sharma operators preserve the Lipschitz constant and order of a Lipschitz continuous function as well as the properties of the function of modulus of continuity. They also gave a result forGn(f;x) under the convexity of

f. A Kantorovich type generalization of the Cheney-Sharma operators was studied in [23]. For these operators, we refer the readers to ([1], [6], [11], [24], [26], [27]).

In [25],Chlodovsky-type Cheney-Sharma operators were defined as

G∗n(f;x) = (1 +nβ)1−n n X

k=0 f

k nbn

n k

x bn

x bn

+kβ k−1

(1.6)

×

1− x

bn

tk,n0(x, bn) n−k−1

,

for 0≤x≤bnandf(x) forx > bn and{bn}satisfies the conditions given by (1.1). The authors also proved the weighted uniform convergence ofG∗n(f)→f, obtained the rate of approximation in terms of the usual modulus of continuity and studied

A-statistical convergence behaviours of these operators. For the case ofbn= 1 the operatorsG∗n(f;x) reduce to Gn(f;x).

Also, from Lemma 2, in [25],the operatorsG∗

n(f;x) satisfy

G∗n(1;x) = 1, (1.7)

G∗n(t;x) =x. (1.8)

(3)

and Lipschitz condition of a given Lipschitz continuous functionf. Furthermore, we prove that

G∗n(f)≥f

for all convex functions f ∈ C[0,∞). In order to give some properties of the operators, defined by (1.6),let us recall some useful definitions.

Definition 1. If a continuous, non-negative function,ω,defined on[0, A],satisfies the conditions:

1. ω(u+v) ≤ ω(u) +ω(v) for u, v, u+v ∈ [0, A] (A > 0), i.e. ω is semi-additive,

2. ω(u)≥ω(v)foru≥v,i.e. ω is non-decreasing,

3. limu→0+ω(u) =ω(0) = 0,then it is called a function of modulus of

continu-ity.

Definition 2. Let f be a real valued continuous function defined on[0,∞).Then

f is said to be Lipschitz continuous of orderγ on [0,∞)if the following inequality holds

|f(x)−f(y)| ≤M|x−y|γ

for x, y ∈ [0,∞) with M > 0 and 0 < γ ≤ 1. The set of Lipschitz continuous functions is denoted by LipM(γ).

Definition 3. A real valued continuous functionf is said to be convex on[0,∞),

if the following inequality holds

f

n X

k=1 αkxk

!

≤ n X

k=1

αkf(xk)

for allx1,x2,..., xn∈[0,∞)and for all non-negative numbers,α1, α2, ...αn such that

α1+α2+...+αn = 1.

2. Main Results

In this section, we prove that Cheney-Sharma Chlodovsky operators preserve properties of the function of modulus of continuity when the attached functionf is a function of modulus of continuity and the Lipschitz condition of a given Lipschitz continuous functionf,as in [7] and [20]. Finally, we give an inequality forG∗n(f;x), using the convexity off.

Theorem 1. If ω is a function of modulus of continuity then G∗n(ω;x)is also a function of modulus of continuity.

Proof. Letx, y∈[0, bn) andy≥x

G∗n(ω;y) = (1 +nβ)1−n n X

j=0 ω

j nbn

n j

y bn

y bn

+jβ j−1

(2.1)

×

1− y

bn

tj,n0(y, bn) n−j−1

.

Lettingu=x/bn, v= (y−x)/bn andn=j in (1.3), we obtain

y bn

y bn

+jβ j−1

= j X

k=0 j

k x

bn x

bn +kβ

k−1yx bn

yx bn

(4)

and, with use of (2.1), we have

G∗n(ω;y) = (1 +nβ)1−n n X

j=0

j X

k=0 ω

j nbn

n j

j k

x bn

x bn

+kβ k−1

×y−x

bn y

−x bn

+ (j−k)β

j−k−1

1− y

bn

tj,n0(y, bn) n−j−1

.

In the last equality, let us change the order of the summations as follows:

G∗n(ω;y) = (1 +nβ)1−n

n X

k=0

n X

j=k

ω j

nbn

n!

(n−j)!j!

j!

k! (j−k)!

x bn

x bn

+kβ k−1

×y−x

bn

y−x bn

+ (j−k)β

j−k−1

1− y

bn

tj,n0(y, bn) n−j−1

. (2.2)

Now, takingj−k=lin (2.2), we obtain

G∗n(ω;y) = (1 +nβ)1−n

n X

k=0

n−k X

l=0 ω

k+l n bn

n!

k!l! (n−k−l)!

x bn

x bn

+kβ k−1

×y−x

bn

yx bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1

. (2.3)

In (1.3), replace u, v and n by (y−x)/bn, 1−y/bn and n−k, respectively, to obtain

1− x

bn

tk,n0(x, bn) n−k−1

= n−k X

l=0

n−k l

y−x bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 ,

which implies

G∗n(ω;x) = (1 +nβ)1−n

n X

k=0

n−k X

l=0 ω

k nbn

n−k l

n

k x

bn x

bn +kβ

k−1

×

yx bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1

(5)

According to the equations (2.3) and (2.4) one has

G∗n(ω;y)−G∗n(ω;x) = (1 +nβ)1−n

n X

k=0

n−k X

l=0

ω

k+l n bn

−ω

k nbn

n!

k!l! (n−k−l)! × x

bn x

bn +kβ

k−1yx bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 .

(2.5)

By Definition 1, we have

ω k+l

n bn

−ω k

nbn

≤ω l

nbn

,

therefore,

G∗n(ω;y)−G∗n(ω;x) ≤(1 +nβ)1−n

n X

k=0

n−k X

l=0 ω

l nbn

n!

k!l! (n−k−l)!

x bn x bn +kβ k−1 ×

yx bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 .

By changing the order of the summations, we have

G∗n(ω;y)−G∗n(ω;x) ≤(1 +nβ)1−n

n X

l=0

n−l X

k=0 ω

l nbn

n! (nl)! l! (n−l)!k! (n−k−l)!

x bn x bn +kβ k−1 × y−x

bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1

(2.6)

= (1 +nβ)1−n n X

l=0 ω

l nbn

n l

y−x bn

y−x bn

+lβ l−1

× n−l X

k=0 nl

k x bn x bn +kβ k−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 .

In (1.3), if we takeu, v and n, byx/bn,1−y/bn and n−l, respectively, then we have

1−(y−x)

bn

tl,n0(y−x, bn) n−l−1

= n−l X

k=0 nl

k x bn x bn +kβ k−1

1− y

bn

tk,ln (y, bn)

(6)

Rearranging the equality (2.6),we obtain

G∗n(ω;y)−G∗n(ω;x) ≤(1 +nβ)1−n

n X

l=0 ω

l nbn

n l

y−x bn

y−x bn

+lβ l−1

×

1−(y−x)

bn

tl,n0(y−x, bn) n−l−1

=G∗n(ω;y−x).

Hence{G∗n}is semi-additive. We also infer from (2.5) that{G∗n}is non decreasing. From the definition of{G∗n}it is clear that

lim x→0G

n(ω) (x) =G

n(ω) (0) =ω(0) = 0.

So the proof is completed.

Theorem 2. If f ∈LipM(γ),then Gn∗(f;x)∈LipM(γ).

Proof. Letx, y∈[0, bn) andy≥x.According to (2.5) we can write |G∗n(f;y)−G∗n(f;x)|

≤(1 +nβ)1−n n X

k=0

n−k X

l=0 f

k+l n bn

−f k

nbn

n!

k!l! (n−k−l)!

x bn

x bn

+kβ k−1

×

y

−x bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 .

By the hypothesis, we can write

|G∗n(f;y)−G∗n(f;x)| ≤M(1 +nβ)1−n

n X

k=0

n−k X

l=0

l nbn

γ

n!

k!l! (n−k−l)!

x bn

x bn

+kβ k−1

yx bn

y−x bn

+lβ l−1

1− y

bn

tk,ln (y, bn)

n−k−l−1

and by changing the order of the summations we have

|G∗n(f;y)−G∗n(f;x)| ≤M(1 +nβ)1−n

n X

l=0 l

nbn γn

l

y−x bn

y−x bn

+lβ l−1

× n−l X

k=0 nl

k x

bn x

bn +kβ

k−1

1− y

bn

tk,ln (y, bn)

n−k−l−1 .

From (1.3), we obtain

|G∗n(f;y)−G∗n(f;x)| ≤M(1 +nβ)1−n

n X

l=0 l

nbn γn

l

y−x bn

y−x bn

+lβ l−1

×

1−(y−x)

bn

tl,n0(y−x, bn) n−l−1

(7)

Considering the H¨older inequality withp= 1/γ andq= 1/(1−γ),we have |G∗n(f;y)−G∗n(f;x)|

≤M (

(1 +nβ)1−n n X

l=0 l nbn

n l

y−x bn

y−x bn

+lβ l−1

×

1−(y−x)

bn

tl,n0(y−x, bn) n−l−1

γ

×

(

(1 +nβ)1−n n X

l=0

n l

y−x bn

y−x bn

+lβ l−1

×

1−(y−x)

bn

tl,n0(y−x, bn)

n−l−11−γ

=M{G∗n(t;y−x)}γ.{G∗n(1;y−x)}γ =M(y−x)γ.

From (1.7), (1.8) and by the hypothesis, we get

|G∗n(f;y)−Gn∗(f;x)| ≤ |y−x|γ.

This proves the theorem.

Theorem 3. If f isconvex,then G∗n(f;x)≥f(x). Proof. Suppose that

αk = (1 +nβ)1− nn

k

x bn

x bn

+kβ k−1

1− x

bn

tk,n0(x, bn) n−k−1

and

xk =

k

nbn, k= 0,1,2..., n.

It is easy to see that

n X

k=0

αk =G∗n(1;x) = 1. Therefore we obtain

G∗n(f;x) = n X

k=0

αkf(xk)≥f n X

k=0 αkxk

!

=f(G∗n(t;x)) =f(x),

which completes the proof.

References

[1] O. Agratini, I. A. Rus,Iterates of a class of dicsrete linear operators via contraction principle, Comment. Math. Univ. Carolin.443 (2003), 555-563.

[2] F. Altomare, M. Campiti, Korovkin-type approximaton theory and its applications, Walter de Gruyter, Berlin-New York, 1994.

[3] G. Ba¸scanbaz-Tunca, Y. Tuncer,On a Chlodovsky variant of a multivariate beta operator, J. Comput. Appl. Math.23516 (2011), 4816–4824.

[4] G. Ba¸scanbaz-Tunca, F. Ta¸sdelen,On Chlodovsky form of the Meyer-K¨onig and Zeller op-erators, An. Univ. Vest Timi¸s. Ser. Mat.-Inform.492 (2011), 137–144.

(8)

[6] G. Ba¸scanbaz-Tunca, A. Eren¸cin, H. G.˙Ince-˙Ilarslan,Bivariate Cheney and Sharma Opera-tors on Simplex Hacet. J. Math. Stat.474 (2018), 793–804.

[7] B.M. Brown, D. Elliott, D.F. Paget,Lipschitz constants for the Bernstein polynomials of a Lipschitz continuous function, J. Approx. Theory,492 (1987), 196–199.

[8] I. B¨uy¨ukyazıcı,Approximation by Stancu-Chlodowsky polynomials, Comput. Math. Appl.59

(2010), 274–282.

[9] E. W. Cheney, A. Sharma, On a generalization of Bernstein polynomials, Riv. Mat. Univ.Parma,25 (1964), 77–84.

[10] I. Chlodovsky,Sur le d´evelopment des fonctions d´e fines dans un interval infini en s´eries de polynomes de M.S. Bernstein, Compos. Math.4(1937), 380–392.

[11] M. Craciun,Approximation operators constructed by means of Sheffer sequences, Rev. Anal. Num´er. Th´eor. Approx.,302 (2001), 135–150.

[12] A. Eren¸cin, G. Ba¸scanbaz-Tunca, F. Ta¸sdelen,Some preservation properties of MKZ Stancu type operators, Sarajevo J. Math.1022 1 (2014), 93–102.

[13] A. Eren¸cin, G. Ba¸scanbaz-Tunca, F. Ta¸sdelen, Some properties of the operators defined by Lupa¸s, Rev. Anal. Num´er. Th´eor. Approx.432 (2014), 168–174.

[14] A.D. Gadjiev, R.O. Efendiev, E. Ibikli, Generalized Bernstein Chlodowsky polynomials, Rocky Mountain J. Math.284 (1998), 1267–1277.

[15] A. Izgi,Rate of approximation new-type generalization of Chlodovsky polynomial, Gen. Math.

212 (2013), 125–140.

[16] H. Karsli, E. Ibikli, Convergence rate of a new Bezier variant of Chlodowsky operators to bounded variation functions, J. Comput. Appl. Math.2122 (2008), 431–443.

[17] H. Karsli, V. Gupta,Some approximation properties ofq−Chlodowsky operators, Appl. Math. Comput.1951 (2008), 220–229.

[18] M. K. Khan, M. A. Peters,Lipschitz constants for some approximation operators of a Lips-chitz continuous function, J. Approx. Theory,593 (1989), 307–315.

[19] M. K. Khan,Approximation properties of Beta operators, Progress in approximation theory, (Academic Press, Boston, MA) (1991), 483–495.

[20] Z. Li,Bernstein polynomials and modulus of continuity, J. Approx. Theory,1021 (2000), 171–174.

[21] T. Lindvall, Bernstein polynomials and the law of large numbers, Math. Sci., 7 2(1982), 127–139.

[22] M. Mursaleen, A.H. Al-Abieda, A. M. Acu, Approximation by Chlodowsky type of Sz´asz operators based on Boas-Buck type polynomials, Turkish J. Math.42, (2018), 2243–2259. [23] M.W. M¨uller,Approximation by Cheney-Sharma-Kantorovic Polynomials in theLp-Metric,

Rocky Mountain J. Math.,191 (1989), 281–291.

[24] D. S¨oylemez, M. Unver,Korovkin Type Theorems for Cheney–Sharma Operators via Summa-bility Methods, Results Math.72(2017), 1601–1612.

[25] D. S¨oylemez, F. Ta¸sdelen,Approximation by Cheney–Sharma Chlodovsky Operators, Hacet. J. Math. Stat. (accepted).

[26] Stancu, C. Cisma¸siu,On an approximating linear positive operator of Cheney-Sharma, Rev. Anal. Num´er. Th´eor. Approx.261-2 (1997), 221–227.

[27] D. D. Stancu, E. I. Stoica,On the use Abel-Jensen type combinatorial formulas for construc-tion and investigaconstruc-tion of some algebraic polynomial operators of approximaconstruc-tion, Stud. Univ. Babe¸s Bolyai Math.544 (2009), 167–182.

[28] T. Trif,An elementary proof of the preservation of Lipschitz constants by the Meyer-K¨onig and Zeller operators, J. Inequal. Pure Appl. Math.45 (2003), Article 90.

Dilek S¨oylemez

Ankara University, Elmadag Vocational School, Department of Computer Pogram-ming, 06780, Ankara, Turkey

E-mail address:[email protected]

Fatma Tas¸delen

Ankara University, Faculty of Science, Department of Mathematics, 06100, Tandogan, Ankara, Turkey

References

Related documents

Communication complexity with competing provers, and circuit lower bounds: Aaron- son and Wigderson (2009) suggested the model of communication complexity with com- peting

This holds because if the main variables are honest then by Lemma 4.3 no forced edge inside the gadgets of the cluster is used twice, so by Lemma 4.4 and the fact that at least one

Using related analytical frameworks, this paper will argue that the viability of self-settled refugees to participate in the return effort was made possible by a combination

In the most investigated speed scaling problem in the literature, the QoS constraint is deadline feasibility, and the objective is to minimize the energy used.. The standard

OS has a variety of biological / pharmacological activities such as antibacterial, antiviral, antifungal, antiprotozoal, antimalarial, anthelmentic, antidiarrhoeal,

Educated mothers that were high in proportion in urban areas as compared to rural areas, were having good a knowledge, a better perspective and satisfactory

Abstract: We present a new method for proving rank lower bounds for the cutting planes procedures of Gomory and Chv´atal (GC) and Lov´asz and Schrijver (LS), when viewed as

Panoramic View Showing Mandibular Right Angle and Left Parasymphysis Fracture (purple arrow).. Submentovertex View Showing Right Zygomatic Arch Fracture