8
IJMMS 2003:31, 2003–2009 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 ˆ M n and studied the rate of convergence for functions of bounded variation. Gupta (1995) gave the sharp estimate for the operators ˆ M n . 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 operators P n , n N,[8] are defined by P n (f,x) = k=0 p n,k (x)f k n + k , x [0, 1], (1.1) where p n,k (x) = n + k 1 k x k (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 M n (f,x) = k=1 p n,k+1 (x) (n + k 1)(n + k 3) (n 2) 1 0 p n2,k1 (t)f (t)dt, (1.3) where p n,k (x) is defined in (1.2). Guo [1] obtained the following theorem. Theorem 1.1. Let f be a function of bounded variation on [0, 1], x (0, 1). Then, for all n sufficiently large, ˆ M n (f,x) 1 2 f ( x + ) + f ( x ) 7 nx n k=1 V x+(1x)/ k xx/ k ( g x ) + 50 n · x 3/2 f ( x + ) f ( x ) , (1.4)

A NOTE ON INTEGRAL MODIFICATION OF THE MEYER-KÖNIG … · 2019. 8. 1. · OF THE MEYER-KÖNIG AND ZELLER OPERATORS VIJAY GUPTA and NIRAJ KUMAR Received 6 August 2002 Guo (1988) introduced

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

  • IJMMS 2003:31, 2003–2009PII. S0161171203208218

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

    A NOTE ON INTEGRAL MODIFICATIONOF 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 M̂n and studied the rate of convergence for functions of bounded variation.Gupta (1995) gave the sharp estimate for the operators M̂n. Zeng (1998) gave theexact bound and claimed to improve the results of Guo and Gupta, but there isa major mistake in the paper of Zeng. In the present note, we give the correctestimate 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 Zelleroperators Pn, n∈N, [8] are defined by

    Pn(f ,x)=∞∑k=0pn,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

    M̂n(f ,x)=∞∑k=1pn,k+1(x)

    (n+k−1)(n+k−3)(n−2)

    ∫ 10pn−2,k−1(t)f (t)dt, (1.3)

    where pn,k(x) is defined in (1.2).Guo [1] obtained the following theorem.

    Theorem 1.1. Let f be a function of bounded variation on [0,1], x ∈ (0,1).Then, for all n sufficiently large,

    ∣∣∣∣M̂n(f ,x)− 12{f(x+)+f (x−)}

    ∣∣∣∣≤ 7nxn∑k=1Vx+(1−x)/

    √k

    x−x/√k(gx)

    + 50√n·x3/2

    ∣∣f (x+)−f (x−)∣∣,(1.4)

    http://dx.doi.org/10.1155/S0161171203208218http://dx.doi.org/10.1155/S0161171203208218http://dx.doi.org/10.1155/ijmmshttp://www.hindawi.com

  • 2004 V. GUPTA AND N. KUMAR

    where

    gx(t)=

    f(t)−f (x−), 0≤ t < x,0, t = x,f(t)−f (x+), x < t ≤ 1,

    (1.5)

    and Vba (gx) is the total variation of gx on [a,b].

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

    Theorem 1.2. Let f be a function of bounded variation on [0,1], x ∈ (0,1).Then, for all n sufficiently large,

    ∣∣∣∣M̂n(f ,x)− 12{f(x+)+f (x−)}

    ∣∣∣∣≤ 7nxn∑k=1Vx+(1−x)/

    √k

    x−x/√k(gx)

    + 11415√n·x3/2

    ∣∣f (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 M̂n(f ,x) is not correct. Zeng obtained the followingtheorem.

    Theorem 1.3. Let f be a function of bounded variation on [0,1]. Then, forevery x ∈ (0,1) and n sufficiently large,

    ∣∣∣∣M̂n(f ,x)− 12{f(x+)+f (x−)}

    ∣∣∣∣≤ 7nxn∑k=1Vx+(1−x)/

    √k

    x−x/√k(gx)

    + 3√8e·x3/2

    ∣∣f (x+)−f (x−)∣∣.(1.7)

    We may remark here that Theorem 1.3 obtained by Zeng [9] has a major

    mistake because the right-hand side does not converge to zero for sufficiently

    large n. Also, the remark given before [9, Theorem 4.3] is contradictory to themain 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.

    Lemma 2.1 [7]. Let X1,X2,X3, . . . ,Xn be n independent and identically dis-tributed random variables with zero mean and a finite absolute third moment.

    If ρ2 = E(X21) > 0, then

    supx∈R

    ∣∣Fn(x)−Φ(x)∣∣≤ (0.409)�3,n, (2.1)

  • A NOTE ON INTEGRAL MODIFICATION . . . 2005

    where Fn is the distribution function and �3,n is the Liapounov ratio given by

    �3,n =(ρ3ρ3/22

    ), ρ3 = E

    (∣∣X1∣∣3). (2.2)

    Lemma 2.2 [7]. If {ξi}, i= 1,2,3, . . ., are independent random variables withthe same geometric distribution

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

    then

    E(ξi)= x

    1−x , ρ2 = E(ξi−E

    (ξi))2 = x

    (1−x)2 (2.4)

    and ηn =∑ni=1ξi is a random variable with distribution

    P(ηn = k

    )=(n+k−1

    k

    )xk(1−x)n. (2.5)

    Lemma 2.3 [9]. For all k,n∈N and x ∈ (0,1],

    pn,k(x) <1√

    2e√nx3/2

    , (2.6)

    where the constant 1/√

    2e is the best possible.

    Lemma 2.4. For k≥ 1, x ∈ (0,1), and n> 2,∣∣∣∣∣∣k+1∑j=2pn,j(x)−

    k−1∑j=1pn−1,j(x)

    ∣∣∣∣∣∣≤3√nx3/2

    . (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)

    Using Lemma 2.1, we obtain

    ∣∣∣∣∣P(ηn = k)− 1√2π∫ (k−nx/(1−x))/(√nx/(1−x))(k−1−nx/(1−x))/(√nx/(1−x))

    e−t2/2dt

    ∣∣∣∣∣< 2(0.409)ρ3√nρ3/22 . (2.9)

  • 2006 V. GUPTA AND N. KUMAR

    Next, we estimate ρ3. For Tr (x) =∑∞k=0krxk(1−x), we have by an easy com-

    putation

    T0(x)= 1, T1(x)= x1−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 order r about the mean x/(1−x), it is easily checked by using the abovethat

    M2(x)=2∑j=0

    (2

    j

    )(−1)jT2−j(x)

    (T1(x)

    )j = x(1−x)2 ,

    M4(x)=4∑j=0

    (4

    j

    )(−1)jT4−j(x)

    (T1(x)

    )j = x3+7x2+x(1−x)4 .

    (2.11)

    Thus, using the inequality ρ3 ≤ (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=0pn,j(x)= P

    (ηn ≤ k+1

    ),

    k−1∑j=0pn−1,j(x)= P

    (ηn−1 ≤ k−1

    ), (2.13)

    thus

    ∣∣∣∣∣∣k+1∑j=0pn,j(x)− 1√

    ∫ (k+1−nx/(1−x))/(√nx/(1−x))−∞

    e−t2/2dt

    ∣∣∣∣∣∣<5

    4√nx3/2

    ,

    ∣∣∣∣∣∣k−1∑j=0pn−1,j(x)− 1√

    ∫ (k−1−(n−1)x/(1−x))/(√(n−1)x/(1−x))−∞

    e−t2/2dt

    ∣∣∣∣∣∣<

    5

    4√(n−1)x3/2 .

    (2.14)

  • A NOTE ON INTEGRAL MODIFICATION . . . 2007

    On the other hand,

    pn,0(x)+pn,1(x)= o(n−1

    ). (2.15)

    Hence, for n sufficiently large, we have

    ∣∣∣∣∣∣k+1∑j=2pn,j(x)−

    k−1∑j=0pn−1,j(x)

    ∣∣∣∣∣∣<10

    4√nx3/2

    + 1√2π

    ∫In,ke−t

    2/2dt

    <5

    2√nx3/2

    + 1−x√2πnx

    <5

    2√nx3/2

    + 12√nx3/2

    = 3√nx3/2

    ,

    (2.16)

    where

    In,k =[k−1−nx/(1−x)√

    nx/(1−x) ,k−nx/(1−x)√nx/(1−x)

    ]. (2.17)

    This completes the proof of the lemma.

    Lemma 2.5 [1]. For k≥ 1, x ∈ (0,1), and n> 2,

    k−1∑j=0pn−1,j(x)= (n+k−2)(n+k−3)(n−2)

    ∫ 1xpn−2,k−1(t)dt. (2.18)

    3. Main result. In this section, we prove the following main theorem.

    Theorem 3.1. Let f be a function of bounded variation on [0,1]. Then, forevery x ∈ (0,1) and n sufficiently large,∣∣∣∣M̂n(f ,x)− 12

    {f(x+)+f (x−)}

    ∣∣∣∣≤ 7nxn∑k=1Vx+(1−x)/

    √k

    x−x/√k(gx)

    +(

    3+ 1√8e

    )1√nx3/2

    ∣∣f (x+)−f (x−)∣∣,(3.1)

    where Vba (gx) is the total variation of gx on [a,b].

    Proof. First,

    ∣∣∣∣M̂n(f ,x)− 12{f(x+)+f (x−)}

    ∣∣∣∣≤ ∣∣M̂n(gx,x)∣∣+ 1

    2

    ∣∣f (x+)−f (x−)∣∣·∣∣M̂n(sign(t−x),x)∣∣.(3.2)

  • 2008 V. GUPTA AND N. KUMAR

    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

    M̂n(sign(t−x),x)=

    ∫ 10Kn(x,t)sign(t−x)dt

    =∫ 1xKn(x,t)dt−

    ∫ x0Kn(x,t)dt

    =An(x)−Bn(x).

    (3.4)

    Using Lemma 2.5, we have

    An(x)=∫ 1xKn(x,t)dt

    =∞∑k=1pn,k+1(x)

    (n+k−2)(n+k−3)(n−2)

    ∫ 1xpn−2,k−1(t)dt

    =∞∑k=1

    pn,k+1(x)

    k−1∑j=0pn−1,j(x)

    .

    (3.5)

    Using Lemma 2.4, we get

    ∣∣∣∣∣∣An(x)−∞∑k=1

    pn,k+1(x)

    k+1∑j=2pn,j(x)

    ∣∣∣∣∣∣≤

    3√nx3/2

    . (3.6)

    Next, by Lemma 2.3, we get

    ∣∣∣∣∣∣∞∑k=1

    pn,k+1(x)

    k+1∑j=2pn,j(x)

    − 1

    2

    ∣∣∣∣∣∣≤1

    2√

    2e√nx3/2

    . (3.7)

    Hence,

    ∣∣M̂n(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 |M̂n(sign(t−x),x)| and proceeding along the linesof [1] for the value of |M̂n(gx,x)|, the theorem follows.

    This completes the proof of theorem.

    Remark 3.2. We remark here that in order to prove the main theorem, the

    inequality ρ3≤16/(1−x)3 is used in Theorem 1.1 and the value ρ3≤3√

    3/(1−x)3

  • A NOTE ON INTEGRAL MODIFICATION . . . 2009

    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 operators M̂n. In this section, we propose the Beziervariant of the integrated Meyer-König and Zeller operators as

    M̂n,α(f ,x)=∞∑k=1Q(α)n,k+1(x)

    (n+k−1)(n+k−3)(n−2)

    ∫ 10pn−2,k−1(t)f (t)dt, (4.1)

    where α ≥ 1, Q(α)n,k(x) = (∑∞j=kpn,j(x))α − (

    ∑∞j=k+1pn,j(x))α, M̂n,α(1,x) = 1.

    It is easily verified that the operators (4.1) are linear positive operators. In

    particular, for α= 1, operators (4.1) reduce to the operators (1.3).

    References

    [1] S. S. Guo, Degree of approximation to functions of bounded variation by certainoperators, 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. Theory 56 (1989),no. 3, 245–255.

    [3] V. Gupta, A sharp estimate on the degree of approximation to functions of boundedvariation 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 boundedvariation, 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 andZeller 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 ofbounded 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 basisfunctions, J. Math. Anal. Appl. 219 (1998), no. 2, 364–376.

    [10] , Rates of approximation of bounded variation functions by two generalizedMeyer-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, AzadHind 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, AzadHind Fauj Marg, Sector 3 Dwarka, Pappankalan, New Delhi 110 045, India

    E-mail address: [email protected]

    mailto:[email protected]:[email protected]

  • Submit your manuscripts athttp://www.hindawi.com

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    MathematicsJournal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Mathematical Problems in Engineering

    Hindawi Publishing Corporationhttp://www.hindawi.com

    Differential EquationsInternational Journal of

    Volume 2014

    Applied MathematicsJournal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Probability and StatisticsHindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Journal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Mathematical PhysicsAdvances in

    Complex AnalysisJournal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    OptimizationJournal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    CombinatoricsHindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    International Journal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Operations ResearchAdvances in

    Journal of

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Function Spaces

    Abstract and Applied AnalysisHindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    International Journal of Mathematics and Mathematical Sciences

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    The Scientific World JournalHindawi Publishing Corporation http://www.hindawi.com Volume 2014

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Algebra

    Discrete Dynamics in Nature and Society

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Decision SciencesAdvances in

    Discrete MathematicsJournal of

    Hindawi Publishing Corporationhttp://www.hindawi.com

    Volume 2014 Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

    Stochastic AnalysisInternational Journal of