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PII. S0161171203208218 http://ijmms.hindawi.com © Hindawi Publishing Corp.

A NOTE ON INTEGRAL MODIFICATION

OF THE MEYER-KÖNIG AND ZELLER

OPERATORS

VIJAY GUPTA and NIRAJ KUMAR

Received 6 August 2002

Guo (1988) introduced the integral modification of Meyer-König and Zeller opera-tors ˆMnand studied the rate of convergence for functions of bounded variation. Gupta (1995) gave the sharp estimate for the operators ˆMn. Zeng (1998) gave the exact bound and claimed to improve the results of Guo and Gupta, but there is a major mistake in the paper of Zeng. In the present note, we give the correct estimate for the rate of convergence on bounded variation functions.

2000 Mathematics Subject Classification: 41A30, 41A36.

1. Introduction. For a function defined on[0,1], the Meyer-König and Zeller operatorsPn,n∈N, [8] are defined by

Pn(f , x)=

k=0

pn,k(x)f

k

n+k

, x∈[0,1], (1.1)

where

pn,k(x)=

n+k−1 k

xk(1−x)n. (1.2)

The rates of convergence of some integral modifications of operators (1.1) were discussed in [2,4,5,6,7,10]. Guo [1] introduced Meyer-König and Zeller operators as

ˆ

Mn(f , x)=

k=1

pn,k+1(x)(n+k−(n1)(n2)+k−3)

1

0

pn−2,k−1(t)f (t)dt, (1.3)

wherepn,k(x)is defined in (1.2).

Guo [1] obtained the following theorem.

Theorem1.1. Letfbe a function of bounded variation on[0,1],x∈(0,1). Then, for allnsufficiently large,

Mn(f , x)ˆ 1 2

f x++f x−nx7

n

k=1

Vx+(1−x)/

k x−x/√k gx

+√ 50

n·x3/2f x+

−f x−,

(2)

where

gx(t)=

        

f (t)−f x−, 0≤t < x,

0, t=x,

f (t)−f x+, x < t≤1,

(1.5)

andVb

a(gx)is the total variation ofgxon[a, b].

Gupta [3] gave a sharp estimate as in the following theorem.

Theorem1.2. Letfbe a function of bounded variation on[0,1],x∈(0,1). Then, for allnsufficiently large,

Mn(f , x)ˆ 1 2

f x++f x−nx7

n

k=1

Vx+(1−x)/

k x−x/√k gx

+ 114

15√n·x3/2f x

+f x.

(1.6)

Zeng [9] gave the exact bound for Meyer-König and Zeller basis functions and claimed to obtain the sharp estimate over the results of Guo [1] and Gupta [3]. Although the bound obtained in [9] is optimum, the main estimate given by Zeng [9] for the operators ˆMn(f , x)is not correct. Zeng obtained the following theorem.

Theorem1.3. Letfbe a function of bounded variation on[0,1]. Then, for everyx∈(0,1)andnsufficiently large,

Mn(f , x)ˆ 1 2

f x++f x−nx7

n

k=1

Vx+(1−x)/

k x−x/√k gx

+√ 3

8e·x3/2f x+

−f x−.

(1.7)

We may remark here that Theorem 1.3obtained by Zeng [9] has a major mistake because the right-hand side does not converge to zero for sufficiently largen. Also, the remark given before [9, Theorem 4.3] is contradictory to the main theorem [9, Theorem 4.3]. This motivated us to give the correct estimate for these operators and in this note we give an improved estimate for the rate of convergence on functions of bounded variation for the operators (1.3).

2. Auxiliary results. In this section, we give certain results, which are nec-essary to prove the main result.

Lemma2.1[7]. LetX1, X2, X3, . . . , Xn be nindependent and identically dis-tributed random variables with zero mean and a finite absolute third moment. Ifρ2=E(X12) >0, then

sup x∈R

(3)

whereFnis the distribution function and3,nis the Liapounov ratio given by

3,n=

ρ3

ρ32/2

, ρ3=E

X1 3

. (2.2)

Lemma2.2[7]. If{ξi},i=1,2,3, . . ., are independent random variables with the same geometric distribution

P ξi=xk(1−x), x∈(0,1), i=1,2,3, . . . , (2.3)

then

E ξi=1xx, ρ2=E ξi−E ξi

2

=(1xx)2 (2.4)

andηn=n

i=1ξiis a random variable with distribution

P ηn=k=

n+k−1 k

xk(1−x)n. (2.5)

Lemma2.3[9]. For allk, n∈Nandx∈(0,1],

pn,k(x) <√ 1

2e√nx3/2, (2.6)

where the constant1/2eis the best possible. Lemma2.4. Fork≥1,x∈(0,1), andn >2,

k+1

j=2

pn,j(x)−

k−1

j=1

pn−1,j(x)

≤√nx33/2. (2.7)

Proof. By (2.5), we have

pn,k(x)=P ηn=k=P k−1< ηn≤k

=P

k−1−nx/(1−x)

nx/(1−x) <

ηn−nx/(1−x)

nx/(1−x)

k−nx/(1−x)

nx/(1−x)

. (2.8)

UsingLemma 2.1, we obtain

P ηn=k−

1

(k−nx/(1−x))/(√nx/(1−x))

(k−1−nx/(1−x))/(√nx/(1−x)) e−t2/2

dt<2(0.409)ρ 3 23/2

(4)

Next, we estimateρ3. ForTr(x)=

k=0krxk(1−x), we have by an easy

com-putation

T0(x)=1, T1(x)=

x

1−x, T2(x)=

x(1+x) (1−x)2,

T3(x)=

x3+4x2+x

(1−x)3 , T4(x)=

x4+11x3+11x2+x

(1−x)4 .

(2.10)

Also, ifMr(x)=∞k=0(k−x/(1−x))rxk(1−x)stands for the central moment

of orderr about the meanx/(1−x), it is easily checked by using the above that

M2(x)= 2

j=0

2 j

(−1)jT2−j(x) T1(x)

j

=(1xx)2,

M4(x)= 4

j=0

4 j

(−1)jT

4−j(x) T1(x)j=

x3+7x2+x

(1−x)4 .

(2.11)

Thus, using the inequalityρ3≤(M2(x)M4(x))1/2, we have

ρ3

x

(1−x)2·

x3+7x2+x

(1−x)4

1/2

3

(1−x)3, x∈(0,1). (2.12)

So, the right-hand side of (2.9) is less than 2.454/√nx3/2, that is, less than

5/2√nx3/2.

Also, since

k+1

j=0

pn,j(x)=P ηn≤k+1, k1

j=0

pn−1,j(x)=P ηn−1≤k−1, (2.13)

thus

k+1

j=0

pn,j(x)−√1

(k+1−nx/(1−x))/(√nx/(1−x))

−∞ e

−t2/2 dt

< 5

4√nx3/2,

k−1

j=0

pn1,j(x)−

1

(k−1−(n−1)x/(1−x))/(√(n−1)x/(1−x))

−∞ e

−t2/2 dt

< 5 4(n−1)x3/2.

(5)

On the other hand,

pn,0(x)+pn,1(x)=o n−1

. (2.15)

Hence, fornsufficiently large, we have

k+1

j=2

pn,j(x)−

k1

j=0

pn−1,j(x)

< 10 4√nx3/2+

1

In,ke

−t2/2 dt

< 5 2√nx3/2+

1−x

2π nx < 5

2√nx3/2+

1 2√nx3/2 =√ 3

nx3/2,

(2.16)

where

In,k=

k1nx/(1x)

nx/(1−x) ,

k−nx/(1−x)

nx/(1−x)

. (2.17)

This completes the proof of the lemma. Lemma2.5[1]. Fork≥1,x∈(0,1), andn >2,

k1

j=0

pn−1,j(x)=(n+k−(n2)(n2)+k−3)

1

xpn−2,k−1(t)dt. (2.18)

3. Main result. In this section, we prove the following main theorem. Theorem3.1. Letfbe a function of bounded variation on[0,1]. Then, for everyx∈(0,1)andnsufficiently large,

Mn(f , x)ˆ 1 2

f x++f x−nx7

n

k=1

Vx+(1−x)/

k x−x/√k gx

+3+√1

8e

1

nx3/2f x

+f x,

(3.1)

whereVb

a(gx)is the total variation ofgxon[a, b]. Proof. First,

Mn(f , x)ˆ 1 2

f x++f x−

Mnˆ gx, x+1 2f x

+f x·Mnˆ sign(tx), x.

(6)

Now, with the kernel

Kn(x, t)=

k=1

(n+k−2)(n+k−3)

(n−2) pn,k+1(x)pn−2,k−1(t), (3.3)

we have

ˆ

Mn sign(t−x), x=

1

0

Kn(x, t)sign(t−x)dt

=

1

xKn(x, t)dt−

x

0 Kn(x, t)dt =An(x)−Bn(x).

(3.4)

UsingLemma 2.5, we have

An(x)=

1

x

Kn(x, t)dt

=

k=1

pn,k+1(x)(n+k−(n2)(n2)+k−3)

1

xpn−2,k−1(t)dt

=

k=1

pn,k+1(x)

k−1

j=0

pn1,j(x)

 .

(3.5)

UsingLemma 2.4, we get

An(x)−

k=1

pn,k+1(x)

k+1

j=2

pn,j(x)

 

≤√nx33/2. (3.6)

Next, byLemma 2.3, we get

k=1

pn,k+1(x)

k+1

j=2

pn,j(x)

 1

2

22e1nx3/2. (3.7)

Hence,

Mnˆ sign(t−x), x=An(x)−Bn(x)

=2An(x)1+o n−1

2

3+√1

8e

1

nx3/2+o n −1.

(3.8)

Substituting the value of|Mn(sign(tˆ x), x)|and proceeding along the lines of [1] for the value of|Mn(gx, x)ˆ |, the theorem follows.

This completes the proof of theorem.

(7)

is used in Theorem 1.2. Zeng [9] used this value and the exact bound and gave the misprinted theorem (Theorem 1.3). Although Zeng obtained the exact bound for Meyer-König and Zeller basis functions, he has not used it correctly to obtain his main result, that is,Theorem 1.3.

4. Bezier variant of the operatorsMnˆ . In this section, we propose the Bezier variant of the integrated Meyer-König and Zeller operators as

ˆ

Mn,α(f , x)=

k=1

Q(α)n,k+1(x)

(n+k−1)(n+k−3) (n−2)

1

0pn−2,k−1(t)f (t)dt, (4.1)

whereα≥1, Q(α)n,k(x)=(∞j=kpn,j(x))α−(

j=k+1pn,j(x))α, ˆMn,α(1, x)=1.

It is easily verified that the operators (4.1) are linear positive operators. In particular, forα=1, operators (4.1) reduce to the operators (1.3).

References

[1] S. S. Guo,Degree of approximation to functions of bounded variation by certain operators, Approx. Theory Appl.4(1988), no. 2, 9–18.

[2] ,On the rate of convergence of the integrated Meyer-König and Zeller op-erators for functions of bounded variation, J. Approx. Theory56(1989), no. 3, 245–255.

[3] V. Gupta,A sharp estimate on the degree of approximation to functions of bounded variation by certain operators, Approx. Theory Appl. (N.S.)11(1995), no. 3, 106–107.

[4] ,A note on Meyer-König and Zeller operators for functions of bounded variation, Approx. Theory Appl. (N.S.)18(2002), no. 3, 99–102.

[5] ,On a new type of Meyer-Konig and Zeller operators, JIPAM. J. Inequal. Pure Appl. Math.3(2002), no. 4, Article 57, 1–10.

[6] V. Gupta and U. Abel,Rate of convergence by a new type of Meyer König and Zeller operators, to appear in Fasc. Math.

[7] E. R. Love, G. Prasad, and A. Sahai,An improved estimate of the rate of conver-gence of the integrated Meyer-König and Zeller operators for functions of bounded variation, J. Math. Anal. Appl.187(1994), no. 1, 1–16.

[8] W. Meyer-König and K. Zeller,Bernsteinsche Potenzreihen, Studia Math.19(1960), 89–94 (German).

[9] X. Zeng,Bounds for Bernstein basis functions and Meyer-König and Zeller basis functions, J. Math. Anal. Appl.219(1998), no. 2, 364–376.

[10] ,Rates of approximation of bounded variation functions by two generalized Meyer-König and Zeller type operators, Comput. Math. Appl.39(2000), no. 9-10, 1–13.

Vijay Gupta: School of Applied Sciences, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Sector 3 Dwarka, Pappankalan, New Delhi 110 045, India

E-mail address:[email protected]

Niraj Kumar: School of Applied Sciences, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Sector 3 Dwarka, Pappankalan, New Delhi 110 045, India

References

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