doi:10.1155/2008/816367
Research Article
q-Parametric Bleimann Butzer and Hahn Operators
N. I. Mahmudov and P. Sabancıgil
Eastern Mediterranean University, Gazimagusa, Turkish Republic of Northern Cyprus, Mersin 10, Turkey
Correspondence should be addressed to N. I. Mahmudov,nazim.mahmudov@emu.edu.tr
Received 4 June 2008; Accepted 20 August 2008 Recommended by Vijay Gupta
We introduce a new q-parametric generalization of Bleimann, Butzer, and Hahn operators in
C∗1x0, ∞. We study some properties of q-BBH operators and establish the rate of convergence for BBH operators. We discuss Voronovskaja-type theorem and saturation of convergence for q-BBH operators for arbitrary fixed 0 < q < 1. We give explicit formulas of Voronovskaja-type for the
q-BBH operators for 0 < q < 1. Also, we study convergence of the derivative of q-BBH operators.
Copyrightq 2008 N. I. Mahmudov and P. Sabancıgil. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction q-Bernstein polynomials Bn,qfx : n k0 f k n n k xk n−k−1 s0 1 − qsx 1.1
were introduced by Phillips in 1. q-Bernstein polynomials form an area of an intensive research in the approximation theory, see survey paper2 and references therein. Nowadays, there are new studies on the parametric operators. Two parametric generalizations of q-Bernstein polynomials have been considered by Lewanowicz and Wo´znycf. 3, an analog of the Bernstein-Durrmeyer operator and Bernstein-Chlodowsky operator related to the q-Bernstein basis has been studied by Derriennic 4, Gupta 5 and Karsli and Gupta 6, respectively, a q-version of the Szasz-Mirakjan operator has been investigated by Aral and Gupta in7. Also, some results on q-parametric Meyer-K¨onig and Zeller operators can be found in8–11.
In12, Bleimann et al. introduced the following operators:
There are several studies related to approximation properties of Bleimann, Butzer, and Hahn operatorsor, briefly, BBH, see, for example, 12–18. Recently, Aral and Do˘gru 19 introduced a q-analog of Bleimann, Butzer, and Hahn operators and they have established some approximation properties of their q-Bleimann, Butzer, and Hahn operators in the subspace of CB0, ∞. Also, they showed that these operators are more flexible than classical
BBH operators, that is, depending on the selection of q, rate of convergence of the q-BBH operators is better than the classical one. Voronovskaja-type asymptotic estimate and the monotonicity properties for q-BBH operators are studied in20.
In this paper, we propose a different q-analog of the Bleimann, Butzer, and Hahn operators in C1x∗ 0, ∞. We use the connection between classical BBH and Bernstein operators suggested in16 to define new q-BBH operators as follows:
Hn,qfx : Φ−1Bn1,qΦfx, 1.3
where Bn1,q is a q-Bernstein operator, Φ and Φ−1 will be defined later. Thanks to 1.3,
different properties of Bn1,q can be transferred to Hn,q with a little extra effort. Thus
the limiting behavior of Hn,q can be immediately derived from 1.3 and the well-known
properties of Bn1,q. It is natural that even in the classical case, when q 1, to define Hnin the
space C∗1x0, ∞, the limit lf of fx/1 x as x→∞ has to appear in the definition of Hn.
Thus in C1x∗ 0, ∞ the classical BBH operator has to be modified as follows:
Hnfx 1 1 xn n k0 f k n− k 1 n k xk lf x n1 1 xn, x > 0, n∈ N. 1.4
The paper is organized as follows. In Section 2, we give construction of q-BBH operators and study some elementary properties. InSection 3, we investigate convergence properties of q-BBH, Voronovskaja-type theorem and saturation of convergence for q-BBH operators for arbitrary fixed 0 < q < 1, and also we study convergence of the derivative of q-BBH operators.
2. Construction and some properties ofq-BBH operators
Before introducing the operators, we mention some basic definitions of q calculus. Let q > 0. For any n∈ N ∪ {0}, the q-integer n nqis defined by
n : 1 q · · · qn−1, 0 : 0; 2.1
and the q-factorialn! nq! by
n! : 12 · · · n, 0! : 1. 2.2 For integers 0≤ k ≤ n, the q-binomial is defined by
n k
: k!n − k!n! . 2.3
It is agreed that an empty product denotes 1. It is clear that pnkq; x ≥ 0, p∞kq; x ≥ 0 ∀x ∈ 0, 1 and n k0 pnkq; x ∞ k0 p∞kq; x 1. 2.5
Introduce the following spaces.
Bρ0, ∞ {f : 0, ∞→R | ∃Mf > 0 such that|fx| ≤ Mfρx ∀x ∈ 0, ∞}, Cρ0, ∞ {f ∈ Bρ0, ∞ | f is continuous}, Cρ∗0, ∞ f ∈ Cρ0, ∞ | limx→∞ fx
ρx lf exists and is finite
, Cρ00, ∞ f ∈ Cρ0, ∞ | lim x→∞ fx ρx 0 . 2.6
It is clear that C∗ρ0, ∞ ⊂ Cρ0, ∞ ⊂ Bρ0, ∞. In each space, the norm is defined by
fρ sup
x≥0
|fx|
ρx. 2.7
We introduce the following auxiliary operators. Firstly, let us denote
ψy y
1− y, y∈ 0, 1, ψ
−1x x
1 x, x∈ 0, ∞. 2.8 Secondly, letΦ : C∗ρ0, ∞→C0, 1 be defined by
Φfy : ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩ fψy ρψy, if y∈ 0, 1, lf lim x→∞ fx ρx, if y 1. 2.9 ThenΦ is a positive linear isomorphism, with positive inverse Φ−1: C0, 1→C∗ρ0, ∞ defined by
Φ−1gx ρxgψ−1x, g ∈ C0, 1, x ∈ 0, ∞. 2.10
For f∈ C0, 1, t > 0, we define the modulus of continuity ωf; t as follows:
ωf; t : sup{|fx − fy| : |x − y| ≤ t, x, y ∈ 0, 1}. 2.11
We introduce new Bleimann-, Butzer-, and Hahn-BBH type operators based on q-integers as follows.
Definition 2.1. For f∈ C∗ρ0, ∞, the q-Bleimann, Butzer, and Hahn operators are given by
Note that for q 1, ρ 1 x and lf 0, we recover the classical Bleimann, Butzer, and
Hahn operators. If q 1, ρ 1 x but lf/ 0, it is new Bleimann, Butzer, and Hahn operators
with additional term lfxn1/1 xn. Thus if f ∈ C01x0, ∞ then Hn,qfx : n k0 f k qkn − k 1 n k qx 1 x k n−k s1 1− qs x 1 x . 2.14
To present an explicit form of the limit q-BBH operators, we consider
p∞kq; ψ−1x : ψ −1xk 1 − qkk! ∞ s0 1 − qsψ−1x. 2.15 Definition 2.2. Let 0 < q < 1. The linear operator defined on C∗ρ0, ∞ given by
H∞,qfx : ρx ∞ k0 fψ1 − qk ρψ1 − qkp∞kq; ψ −1x 2.16
is called the limit q-BBH operator.
Lemma 2.3. Hn,q, H∞,q: Cρ∗0, ∞→Cρ∗0, ∞ are linear positive operators and
Hn,qfρ≤ fρ, H∞,qfρ≤ fρ. 2.17 Proof. We prove the first inequality, since the second one can be done in a like manner. Thanks
to the definition, we have
|Hn,qfx| ≤ ρxfρ n k0 pn1,kq; ψ−1x ρx|lf|ψ−1xn1 ≤ ρxfρn k0 pn1,kq; ψ−1x ρxfρψ−1x n1 ρxfρn1 k0 pn1,kq; ψ−1x ρxfρ. 2.18
Lemma 2.4. The following recurrence formula holds:
Proof. We prove only the recurrence formula, since the formulae2.20 can easily be obtained by standard computations. Since lf 1 for f ρtt/1 tm, we have
Hn,q ρt t 1 t m x ρxn k0 k n 1 m pn1,k q; ψ−1x ρx x 1 x n1 ρxn k0 k n 1 m n 1 k x 1 x k n−k s0 1− qs x 1 x ρx x 1 x n1 ρxn k0 km−1 n 1m−1 n k− 1 x 1 x k n−k s0 1− qs x 1 x ρx x 1 x n1 ρxn k1 m−1 j0 m− 1 j qjk − 1j n 1m−1 × n k− 1 x 1 x k n−k s0 1− qs x 1 x ρx x 1 x n1 1 n 1m−1 x 1 x m−1 j0 m− 1 j qjnj × Hn−1,q ρt t 1 t j x − ρx x 1 x n ρx x 1 x n1 1 n 1m−1 x 1 x m−1 j0 m− 1 j qjnjH n−1,q ρt t 1 t j x ρx x 1 x n1 1− 1 n 1m−1 m−1 j0 m− 1 j qjnj 1 n 1m−1 x 1 x m−1 j0 m− 1 j qjnjHn−1,q ρt t 1 t j x. 2.21
Next theorem shows the monotonicity properties of q-BBH operators.
Theorem 2.5. If f ∈ C∗ 1x0, ∞ is convex and lf f n qn − f n 1 qn1 qn1≥ 0, 2.22
then its q-BBH operators are nonincreasing, in the sense that
Proof. We begin by writing Hn,qfx − Hn1,qfx n k0 f k qkn − k 1 n k qx 1 x k n−k s1 1− qs x 1 x −n1 k0 f k qkn − k 2 n 1 k qx 1 x kn−k1 s1 1− qs x 1 x lf xn1 1 xn1. 2.24
We now split the first of the above summations into two, writing x 1 x k n−k s1 1− qs x 1 x ψk qn−k1ψk1, 2.25 where ψk x 1 x kn−k1 s1 1− qs x 1 x . 2.26
The resulting three summations may be combined to give
Hn,qfx − Hn1,qfx n k0 f k qkn − k 1 n k qkψk qn−k1ψk1 −n1 k0 f k qkn − k 2 n 1 k qkψ k lf x 1 x n1 n k0 f k qkn − k 1 n k qkψk n1 k1 f k − 1 qk−1n − k 2 n k− 1 qn1ψk −n1 k0 f k qkn − k 2 n 1 k qkψ k lf x 1 x n1 n k1 n 1 k akqkψk f n qn − f n 1 qn1 qn1 x 1 x n1 lf x 1 x n1 , 2.27 where ak n − k 1n 1 f k qkn − k 1 qnn 1−k1kf k − 1 qk−1n − k 2 − f k qkn − k 2 . 2.28 By assumption, the sum of the last three terms of 2.27 is positive. Thus to show monotonicity of Hn,qit suffices to show nonnegativity of ak, 0≤ k ≤ n. Let us write
α n − k 1
n 1 , x1 k
qkn − k 1, x2
k − 1
Then it follows that 1− α q n−k1k n 1 , αx1 1 − αx2 k qkn 1 1q n−k2k − 1 n − k 2 k qkn 1 1− qn−k2 qn−k21 − qk−1 1− qn−k2 k qkn − k 2, 2.30
and we see immediately that
ak αfx1 1 − αfx2 − fαx1 1 − αx2 ≥ 0, 2.31
and so Hn,qfx − Hn1,qfx ≥ 0. Remark 2.6. It is easily seen that
lf f n qn − f n 1 qn1 qn1 n 2 1 n 2Φf1 qn 1 n 2 Φf n n 1 − Φf n 1 n 2 . 2.32 The condition2.22 follows from convexity of Φf. On the other hand, Φf is convex if f is convex and nonincreasing, see16.
3. Convergence properties
Theorem 3.1. Let q ∈ 0, 1, and let f ∈ C∗
ρ0, ∞. Then
Hn,qf − H∞,qfρ≤ CqωΦf, qn1, 3.1
where Cq 4/q1 − q ln1/1 − q 2.
First, we estimate I1, I3. By using the following inequalities: 0≤ k n 1 − 1 − qk 1− qk 1− qn1− 1 − q k qn11 − qk 1− qn1 ≤ q n1, 0≤ 1 − 1 − qk qk≤ qn1, k≥ n 2, 3.3 we get |I1| ≤ ρxωΦf, qn1 n1 k0 pn1,kq; ψ−1x ρxωΦf, qn1, |I3| ≤ ρx ∞ kn2 ωΦf, qkp∞kq; ψ−1x ≤ ρxωΦf, qn1. 3.4
Next, we estimate I2. Using the well-known property of modulus of continuity
ωg, λt ≤ 1 λωg, t, λ > 0, 3.5 we get |I2| ≤ ρx n1 k0 ωΦf, qk|pn1,kq; ψ−1x − p∞kq; ψ−1x| ≤ ρxωΦf, qn1n1 k0 1 qk−n−1|p n1,kq; ψ−1x − p∞kq; ψ−1x| ≤ 2ρxωΦf, qn1 1 qn1 n1 k0 qk|pn1,kq; ψ−1x − p∞kq; ψ−1x| : ρx 2 qn1ωΦf, qn1Jn1ψ−1x, 3.6 where Jn1ψ−1x n1 k0 qk|pn1,kq; ψ−1x − p∞kq; ψ−1x|. 3.7
Now, using the estimation2.9 from 21, we have
Jn1ψ−1x ≤ q n1 q1 − qln 1 1− q n1 k0 pn1,kq; ψ−1x p∞kq; ψ−1x ≤ 2qn1 q1 − qln 1 1− q. 3.8
From3.6 and 3.8, it follows that |I2| ≤ ρx 4 q1 − qln 1 1− qωΦf, q n1. 3.9
Theorem 3.2. Let 0 < q < 1 be fixed and let f ∈ C∗
1x0, ∞. Then H∞,qfx fx ∀x ∈ 0, ∞ if and only if f is linear.
Proof. By definition of H∞,qwe have
H∞,qfx Φ−1B∞,qΦfx. 3.10
Assume that H∞,qfx fx. Then B∞,qΦfx Φfx. From 22, we know that B∞,qg g if and only if g is linear. So B∞,qΦfx Φfx if and only if Φfx
1 − xfx/1 − x Ax B. It follows that fx 1 xAx/1 x B A Bx B. The converse can be shown in a similar way.
Remark 3.3. Let 0 < q < 1 be fixed and let f ∈ C∗1x0, ∞. Then the sequence {Hn,qfx}
does not approximate fx unless f is linear. It is completely in contrast to the classical case.
Theorem 3.4. Let q qnsatisfies 0 < qn< 1 and let qn→1 as n→∞. For any x ∈ 0, ∞ and for any f∈ C∗ρ0, ∞, the following inequality holds:
1 ρx|Hn,qnfx − fx| ≤ 2ω Φf,λnx , 3.11 where λnx x/1 x21/n 1qn.
Proof. Positivity of Bn1,qnimplies that for any g ∈ C0, 1
|Bn1,qngx − gx| ≤ Bn1,qn|gt − gx|x. 3.12
On the other hand,
|Φft − Φfx| ≤ ωΦf, |t − x| ≤ ωΦf, δ 11 δ|t − x| , δ > 0. 3.13
This inequality and3.12 imply that |Bn1,qnΦfx − Φfx| ≤ ωΦf, δ 1 1 δBn1,qn|t − x|x , |Φ−1B n1,qnΦfx − Φ−1Φfx| ≤ ωΦf, δ Φ−11 1 δΦ −1B n1,qn|t − x|x ≤ ρxωΦf, δ1 1 δBn1,qn |t − ψ−1x|2ψ−1x1/2 ρxωΦf, δ 1 1 δ x 1 x 2 x 1 x2 1 n 1qn − x 1 x 21/2 ρxωΦf, δ 1 1 δ x 1 x2 1 n 1qn 1/2 , 3.14
Corollary 3.5. Let q qnsatisfies 0 < qn< 1 and let qn→1 as n→∞. For any f ∈ Cρ∗0, ∞ it holds that
lim
n→∞Hn,qnfx − fxρ 0. 3.15
Next, we study Voronovskaja-type formulas for the BBH operators. For the q-Bernstein operators, it is proved in23 that for any f ∈ C10, 1,
lim n→∞ n qn Bn,qfx − B∞,qfx Lqf, x 3.16 uniformly in x∈ 0, 1, where Lqf, x : ⎧ ⎪ ⎨ ⎪ ⎩ ∞ k0 k f 1 − qk −f1 − qk − f1 − qk−1 1 − qk − 1 − qk−1 xk q; qkx; q∞, 0≤ x < 1, 0, x 1. 3.17 Similarly, we have the following Voronovskaja-type theorem for the q-BBH operators for fixed
q∈ 0, 1. Before stating the theorem we introduce an analog of Lqf, x for q-BBH operators Vqf, x : Φ−1LqΦfx x 1 x, q ∞ ∞ k0 k × f 1− qk qk 1 qk − f 1− qk qk −qkf1 − qk/qk − qk−1f1 − qk−1/qk−1 1 − qk − 1 − qk−1 × q, q1 k xk 1 xk−1 x 1 x; q ∞ ∞ k0 kf 1− qk qk 1 qk − q k−1f1 − qk/qk − f1 − qk−1/qk−1 qk−1− qk × q; q1 k xk 1 xk−1. 3.18 Theorem 3.6. Let 0 < q < 1, f ∈ C∗
1x0, ∞ ∩ C10, ∞, and Φf is differentiable at x 1. Then
lim
n→∞
n 1
qn1 Hn,qfx − H∞,qfx Vqf, x, 3.19 in C∗1x0, ∞.
Proof. We estimate the difference
SinceΦf is well defined on whole 0, 1, from 23, Theorem 1, we get that lim
n→∞Δ1x ≤ limn→∞0≤u≤1sup
n 1qn1 Bn1,q− B∞,q − Lq
Φfu 0. 3.21 Theorem is proved.
Remark 3.7. It is clear that Φf is differentiable in 0, 1 if f ∈ C10, ∞. If Φf is not
differentiable at x 1, then lim n→∞ n 1 qn1 Hn,qfx − H∞,qfx Vqf, x, 3.22 uniformly on any0, A ⊂ 0, ∞. Theorem 3.8. If f ∈ C20, ∞ and q n→1 as n→∞, then lim n→∞n 1qn{Hn,qnfx − fx} 1 2f x1 x2x 3.23 uniformly on any0, A ⊂ 0, ∞. Proof. By definition of Hn,qn, Hn,qnfx − fx Φ−1Bn1,qnΦfx − Φ−1Φfx Φ−1B n1,qn− IΦfx 1 xBn1,qn− IΦfψ−1x, 3.24 and if L : 1/2f x1 − xx, then 1 2f x1 x2x Φ−1LΦfx 1 xLΦfψ−1x 1 21 xΦf ψ−1xψ−1x1 − ψ−1x. 3.25
On the other hand, by24, Corollary 5.2 we have that lim n→∞0≤u≤1sup n 1qnBn1,qn− IΦfu − 1 2Φf uu1 − u 0. 3.26
From Theorem 3.6, we have the following saturation of convergence for the q-BBH operators for fixed q∈ 0, 1.
Corollary 3.9. Let 0 < q < 1 and f ∈ C∗
1x0, ∞ ∩ C10, ∞. Then
Hn,qfx − H∞,qfx1x oqn1 3.28 if and only if Vqf, x ≡ 0, and this is equivalent to
f 1− qk qk 1 qk − 1 qk−1 f1 − qk qk − f1 − qk−1 qk−1 , k 1, 2, . . . . 3.29
Theorem 3.10. Let 0 < q < 1 and f ∈ C∗
1x0, ∞ ∩ C10, ∞. If f is a convex function, then
Hn,qfx − H∞,qfx1x oqn1 if and only if f is a linear function. Proof. IfHn,qf − H∞,qf1x oqn1, then byCorollary 3.9
f 1− qk qk qk−1− qk q2k−1 f 1 − qk qk − f1 − qk−1 qk−1 , k 1, 2, . . . . 3.30 Hence for k 1, 2, . . . 1−qk/qk 1−qk−1/qk−1 f 1− qk qk − f tdt 0. 3.31
Since f is convex and f is continuous on0, ∞, we get f t f 1 − qk/qk ∀t ∈ 1 − qk−1/qk−1,1 − qk/qk. Hence f t ≡ f 0, and therefore ft At B. Conversely, if f is
linear, thenHn,qfx − H∞,qfx1x 0.
One of the remarkable properties of the q-Bernstein approximation is that derivatives of Bnf of any order converge to corresponding derivatives of f, see 25. Next theorem
shows the same property for Hnqfor the first derivative. Theorem 3.11. Let f ∈ C∗
1x0, ∞∩C10, ∞ and let {qn} be a sequence chosen so that the sequence
εn n
1 qn q2n · · · qnn−1
− 1 3.32
converges to zero from above faster than{1/3n}. Then
Since Hn,qnfx is a composition of differentiable functions, it is differentiable at any x ∈ 0, A and d dxHn,qnfx d dx 1 xBn1,qnΦf x 1 x Bn1,qnΦf x 1 x 1 1 x d dxBn1,qnΦf x 1 x . 3.35 By24, Theorem 4.1 Bn1,qnΦf x 1 x − Φf x 1 x ≤ 2ωΦf, Bn1,qn t− x 1 x 2 x 1 x , 3.36 and by25, Theorem 3 lim n→∞0≤x≤Asup dxd Bn1,qnΦf x 1 x − Φf x 1 x 0. 3.37 Thus the desired limit follows from the following inequality:
dxd Hn,qnfx − d dxfx d dxHn,qnfx − d dx1 xΦf x 1 x ≤Bn1,qnΦf x 1 x − Φf x 1 x 1 x1 dxd Bn1,qnΦf x 1 x − Φf x 1 x ≤ 2ω Φf, Bn1,qn t− x 1 x 2 x 1 x d dxBn1,qnΦf x 1 x − Φf x 1 x 2ω Φf, x 1 x2 1 n 1qn d dxBn1,qnΦf x 1 x − Φf x 1 x ≤ 2ω Φf, A n 1qn d dxBn1,qnΦf x 1 x − Φf x 1 x . 3.38
Remark 3.12. In1, it is shown that
Immediately from the definition of Hn,q, we get an analog of3.39 for Hn,q: Hn,qfx Φ−1Bn1,qΦfx Φ−1n1 k0 n 1 k ΔkΦf 0xk n1 k0 n 1 k ΔkΦf 0 xk 1 xk−1. 3.41 Acknowledgment
The research is supported by the Research Advisory Board of Eastern Mediterranean University under project BAP-A-08-04.
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