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Volume 2011, Article ID 158219, 7 pagesdoi:10.1155/2011/158219 Research Article Baskakov-Durrmeyer Operator Feilong Cao and Yongfeng An Department of Mathematics, China Jiliang Universit

Trang 1

Volume 2011, Article ID 158219, 7 pages

doi:10.1155/2011/158219

Research Article

Baskakov-Durrmeyer Operator

Feilong Cao and Yongfeng An

Department of Mathematics, China Jiliang University, Hangzhou 310018, Zhejiang Province, China

Correspondence should be addressed to Feilong Cao,feilongcao@gmail.com

Received 14 November 2010; Accepted 17 January 2011

Academic Editor: Jewgeni Dshalalow

Copyrightq 2011 F Cao and Y An 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

The main aim of this paper is to introduce and study multivariate Baskakov-Durrmeyer operator, which is nontensor product generalization of the one variable As a main result, the strong direct

inequality of L papproximation by the operator is established by using a decomposition technique

1 Introduction

Let P n,k x n k−1

k



x k 1  x −n−k , x ∈ 0, ∞, n ∈ N The Baskakov operator defined by

B n,1

f, x

∞

k0

P n,k xf



k n



1.1

was introduced by Baskakov1 and can be used to approximate a function f defined on

0, ∞ It is the prototype of the Baskakov-Kantorovich operator see 2 and the Baskakov-Durrmeyer operator defined bysee 3,4

M n,1



f, x

∞

k0

P n,k xn − 1

∞

0

P n,k tftdt, x ∈ 0, ∞, 1.2

where f ∈ L p 0, ∞1 ≤ p < ∞.

By now, the approximation behavior of the Baskakov-Durrmeyer operator is well understood It is characterized by the second-order Ditzian-Totik modulussee 3

ω ϕ2

f, t

p sup

0<h≤t

f

·  2hϕ·− 2f·  hϕ· f·

p , ϕ x  x 1  x. 1.3

Trang 2

More precisely, for any function defined on L p 0, ∞1 ≤ p < ∞, there is a constant such that

M n,1 f − f

p ≤ const ω ϕ2



f,√1

n



p

 1

nf

p

, 1.4

ω2

ϕ



f, t

p  O t 2α ⇐⇒M n,1 f − f

p  On −α

, 1.5

where 0 < α < 1.

Let T ⊂ Rd d ∈ N, which is defined by

T :  T d: {x : x1 , x2, , x d  : 0 ≤ x i < ∞, 1 ≤ i ≤ d}. 1.6

Here and in the following, we will use the standard notations

x :x1 , x2, , x d , k :k1 , k2, , k d ∈ Nd

0,

x k : xk1

1 x k2

2 · · · x k d

d , k!  k1!k2!· · · k d !, |x| :d

i1

x i , |k| :d

i1

k i , n

k

: n!

k!n − |k|! ,



k0

: ∞

k1 0



k2 0

· · ·∞

k d0

.

1.7

By means of the notations, for a function f defined on T the multivariate Baskakov operator

is defined assee 5

B n,d



f, x :∞

k0

f



k

n



P n,k x, 1.8

where

P n,kx  n |k| − 1

k

x k 1  |x|−n−|k| 1.9

Naturally, we can modify the multivariate Baskakov operator as multivariate Baskakov-Durrmeyer operator

M n,d f :  M n,d



f, x :∞

k0

P n,k xφ n,k,d



f

, f ∈ L p T, 1.10

where

φ n,k,d



f

:



T P n,k ufudu



T P n,kudu  n − 1n − 2 · · · n − d



T

P n,k ufudu. 1.11

Trang 3

It is a multivariate generalization of the univariate Baskakov-Durrmeyer operators given in

1.2 and can be considered as a tool to approximate the function in L p T.

2 Main Result

We will show a direct inequality of L papproximation by the Baskakov-Durrmeyer operator given in1.10 By means of K-functional and modulus of smoothness defined in 5, we will extend1.4 to the case of higher dimension by using a decomposition technique

Fox x ∈ T, we define the weight functions

ϕ ix  x i 1  |x|, 1 ≤ i ≤ d. 2.1 Let

D i r ∂ r

∂x r i

, r ∈ N, Dk D k1

1 D k2

2 · · · D k d

denote the differential operators For 1 ≤ p < ∞, we define the weighted Sobolev space as follows:

W ϕ r,p T f ∈ L p T : Dkf ∈ Lloc˙T

, ϕ r i D r i f ∈ L p T, 2.3

where|k| ≤ r, k ∈ N d

0, and ˙T denotes the interior of T The Peetre K-functional on L p T

1 ≤ p < ∞, are defined by

K ϕ r

f, t r

p inf



f − g

p  t rd

i1

ϕ r

i D r i g

p



, t > 0, 2.4

where the infimum is taken over all g ∈ W r,p

ϕ T.

For any vector e in Rd , we write the rth forward difference of a function f in the

direction of e as

Δr

he fx 

r



i0

r

i

⎠−1i f x  ihe, x, x  rhe ∈ T,

0, otherwise.

2.5

We then can define the modulus of smoothness of f ∈ L p T1 ≤ p < ∞, as

ω ϕ r

f, t

p sup

0<h≤t

d



i1Δr

h ϕ iei f

where eidenotes the unit vector inRd , that is, its ith component is 1 and the others are 0.

In5, the following result has been proved

Trang 4

Lemma 2.1 There exists a positive constant, dependent only on p and r, such that for any f ∈ L p T,

1≤ p < ∞

1

const ω

r ϕ



f, t

p ≤ K r ϕ



f, t r

p ≤ const ω r

ϕ



f, t

p 2.7 Now we state the main result of this paper

Theorem 2.2 If f ∈ L p T, 1 ≤ p < ∞, then there is a positive constant independent of n and f such

that

M n,d f − f

p ≤ const ω2

ϕ



f,√1

n



p

 1

nf

p

Proof Our proof is based on an induction argument for the dimension d We will also use

a decomposition method of the operator M n,d f We report the detailed proof only for two

dimensions The higher dimensional cases are similar

Our proof depends onLemma 2.1and the following estimates:

M n,2 f − f

p ≤ const.

f

1

n

2



i1

ϕ2

i D i2f

pf

p

, f ∈ W 2,p

ϕ T. 2.9

The first estimate is evident as the M n,d f are positive and linear contractions on

L p T1 ≤ p < ∞ We can demonstrate the second estimate by reducing it to the one

dimensional inequality

M n,1 f − f

pconst.

n



ϕ2f 

pf

p



, 2.10

which has been proved in3

Now we give the following decomposition formula:

M n,2

f, x

 ∞

k1 0



k2 0

P n,k1x1P n k1,k2



x2

1 x1



n − 1n − 2

×

∞

0

P n,k1u1P n k1,k2



u2

1 u1



f u1 , u2du1du2

 ∞

k1 0

P n,k1x1n − 2

∞

0

P n −1,k1u1∞

k2 0

P n k1,k2



x2

1 x1



× n  k1− 1

∞

0

P n k1,k2tfu1 , 1  u1tdt du1

 ∞

k0

P n,k1x1n − 2

∞

0

P n −1,k1u1M n k1,1



g u1, z

du1,

2.11

Trang 5

g u1t  fu1 , 1  u1t, 0 ≤ t < ∞, z  x2

1 x1 , 2.12

which can be checked directly and will play an important role in the following proof From the decomposition formula, it follows that

M n,2

f, x

− fx  ∞

k1 0

P n,k1x1n − 2

×

∞

0

P n −1,k1u1M n k1,1

g u1, z

− g u1zdu1



 M

n,1 h·, x1 − hx1

: J  L,

2.13 where

h u1 : hu1 , x  : f



u1, 1  u1 x2

1 x1



, 0≤ u1 < ∞,

Mn,1

g, y

∞

l0

P n,l

y

n − 2

∞

0

P n −1,ltgtdt.

2.14

Then by the Jensen’s inequality, we have

J p

p



T



k1 0

P n,k1x1

n − 2∞

0

P n −1,k1u1M n k1,1 g u1, z  − g u1zdu1

p dx



T



k1 0

P n,k1x1n − 2

∞

0

P n −1,k1u1M n k

1,1



g u1, z

− g u1zp

du1dx



∞

0



k1 0

P n,k1x11  x1dx1n − 2

∞

0

P n −1,k1u1

×M n k1,1

g u1, z

− g u1zp

dzdu1

≤ ∞

k1 0

n  k1− 1

n− 1

∞

0

P n −1,k1u1

∞

0

M n k

1,1



g u1, z

− g u1zp

dzdu1

≤ const.∞

k1 0

n  k1− 1

n− 1

∞

0

P n −1,k1u1

 1

n  k1

p

ϕ2g u 1p

pg u

1p p



du1.

2.15

However, by definition, one also has

ϕ2tg

u1t  t1  t1  u12D2

2f u1 , 1  u1t  ϕ2

2D2

2f u1 , 1  u1t. 2.16

Trang 6

J p p ≤ const.∞

k1 0

n  k1− 1

n − 1n  k1 p

∞

0

P n −1,k1u1

× 

ϕ22D22f u1 , 1  u1tp

f u1 , 1  u1tp

dt du1

 const.∞

k1 0

n  k1− 1

n − 1n  k1 p

∞

0

1

1 u1 P n −1,k1u1

×

∞

0

ϕ2

2u1 , u2D 2

2f u1 , u2p

f u1 , u2p

du1du2

const.

n p



k1 0

∞

0

P n,k1u1

∞

0



ϕ22u1 , u2D 2

2f u1 , u2 pf u1 , u2p

du1du2

 const.

n p



ϕ2

2D22fp

pfp p



.

2.17

To estimate the second term L, we use a similar method as to estimate2.10 see 3 and can get

L pconst.

n



ϕ2h 

p  h p



Denoting ϕ12x  ϕ21x :x1x2, D 2

12 : ∂2/ ∂x1 ∂x2, and D 2

21 : ∂2/ ∂x2 ∂x1, we have



2sh s





s 1  s D21f x2

1 x1 D212f x2

1 x1 D221f x22

1  x12D222 f

×



s, 1  s x2

1 x1









1 x11 x1  x2 ϕ21D21f  ϕ2

12D212f  ϕ2

21D221f s

1 s

x2

1 x1  x2 ϕ22D22f



s, 1  s x2

1 x1



.

2.19

Recalling that ϕ12x is no bigger than ϕ1x or ϕ2x, and the fact



D2

12fx ≤ sup D2

1fx,D2

2fx 2.20 proved in6 see 6, Lemma 2.1, we obtain



2h 

p ≤ const.2

i1



2

i D2i f

Trang 7

and hence

L pconst.

n

2



i1



2

i D2i f

pf

p

The second inequality of 2.9 has thus been established, and the proof of Theorem 2.2is finished

Acknowledgment

The research was supported by the National Natural Science Foundation of China no 90818020

References

1 V A Baskakov, “An instance of a sequence of linear positive operators in the space of continuous

functions,” Doklady Akademii Nauk SSSR, vol 113, pp 249–251, 1957.

2 Z Ditzian and V Totik, Moduli of Smoothness, vol 9 of Springer Series in Computational Mathematics,

Springer, New York, NY, USA, 1987

3 M Heilmann, “Direct and converse results for operators of Baskakov-Durrmeyer type,” Approximation

Theory and its Applications, vol 5, no 1, pp 105–127, 1989.

4 A Sahai and G Prasad, “On simultaneous approximation by modified Lupas operators,” Journal of

Approximation Theory, vol 45, no 2, pp 122–128, 1985.

5 F Cao, C Ding, and Z Xu, “On multivariate Baskakov operator,” Journal of Mathematical Analysis and

Applications, vol 307, no 1, pp 274–291, 2005.

6 W Chen and Z Ditzian, “Mixed and directional derivatives,” Proceedings of the American Mathematical

Society, vol 108, no 1, pp 177–185, 1990.

... 1.11

Trang 3

It is a multivariate generalization of the univariate Baskakov-Durrmeyer operators... the following result has been proved

Trang 4

Lemma 2.1 There exists a positive constant, dependent...

du1,

2.11

Trang 5

g u1t  fu1 , 1 

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