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Divided Differences Aimin Xu and Zhongdi Cen vol. 10, iss. 4, art. 103, 2009

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AN INEQUALITY FOR DIVIDED DIFFERENCES IN HIGH DIMENSIONS

AIMIN XU AND ZHONGDI CEN

Institute of Mathematics Zhejiang Wanli University Ningbo, 315100, China

EMail:xuaimin1009@yahoo.com.cn czdningbo@tom.com

Received: 26 November, 2008 Accepted: 05 November, 2009 Communicated by: J. Peˇcari´c

2000 AMS Sub. Class.: 26D15.

Key words: Mixed partial divided difference, Convex hull.

Abstract: This paper is devoted to an inequality for divided differences in the multivariate case which is similar to the inequality obtained by [J. Peˇcari´c, and M. Rodi´c Lipanovi´c, On an inequality for divided differences, Asian-European Journal of Mathematics, Vol. 1, No. 1 (2008), 113-120].

Acknowledgements: The work is supported by the Education Department of Zhejiang Province of China (Grant No. Y200806015).

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Divided Differences Aimin Xu and Zhongdi Cen vol. 10, iss. 4, art. 103, 2009

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Contents

1 Introduction 3

2 Notations and Definitions 4

3 Main Result 6

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1. Introduction

Recently, Peˇcari´c and Lipanovi´c [3] have proved the following inequality for divided differences.

Theorem 1.1. Letf, gbe twon−1times continuously differentiable functions on the intervalI ⊆Randntimes differentiable on the interiorI ofI, with the properties that g(n)(x) > 0 on I, and that the function fg(n)(n)(x)(x) is bounded on I. Then for xi, yi ∈ I (i= 1,2, . . . , n)such thatxi ≥yi for alli = 1,2, . . . , nandPn

i=1(xi − yi)6= 0, the following estimation holds true:

x∈Iinf

f(n)(x)

g(n)(x) ≤ [x1, . . . , xn]f−[y1, . . . , yn]f

[x1, . . . , xn]g−[y1, . . . , yn]g ≤ sup

x∈I

f(n)(x) g(n)(x). This theorem generalized the following result obtained by [2].

Corollary 1.2. Let f, g be two continuously differentiable functions on [a, b] and twice differentiable on(a, b),with the properties that g00 > 0on(a, b), and that the function fg0000 is bounded on(a, b). Then fora < c≤ d < b, the following estimation holds:

x∈(a,b)inf f00(x) g00(x) ≤

f(b)−f(d)

b−df(c)−fc−a(a)

g(b)−g(d)

b−dg(c)−g(a)c−a ≤ sup

x∈(a,b)

f00(x) g00(x).

It is worth noting that the technique of the proof for Theorem 1.1in [3] is very natural and useful. In this paper, using the technique and following the definition of mixed partial divided difference proposed by [1], we present a similar inequality for divided differences in the multivariate case.

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2. Notations and Definitions

The following notations will be used in this paper.

We denote byRmthem−dimensional Euclidean space. Letx ∈Rm be a vector denoted by (x1, x2, . . . , xm). LetN0 be the set of nonnegative integers. Then it is obvious thatNm0 ⊆ Rm. Denote byei ∈ Nm0 a unit vector whosejth component is δij,where

δij =

0, j 6=i;

1, j =i.

Let 00 = 1. Forα = (α1, α2, . . . , αm) ∈ Nm0 , we definexα = xα11xα22· · ·xαmm, and then we havexi = xei. Define|α| = Pm

i=1αi,α! = Qm

i=1αi!. Forx, y ∈ Rm, we denotex≥y, ifxi ≥yi,i= 1,2, . . . , m.

Further, let

Dα = ∂

∂x1 α1

∂x2 α2

· · · ∂

∂xm αm

be a mixed partial differential operator of order|α|.

Forx0, x1, . . . , xn∈Rm, we denote by

x0, x1, . . . , xn

= (

1−

n

X

j=1

tj

!

x0+t1x1+· · ·+tnxn|tj ≥0,

n

X

j=1

tj ≤1 )

the convex hull ofx0, x1, . . . , xn ∈ Rm. Then according to the Hermite-Genocchi formula for univariate divided difference, the multivariate divided difference (or mixed partial divided difference) of orderncan be defined by the following formula.

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Definition 2.1 ([1], see also [4,5]). Letα ∈Nm0 with|α|=n, andx0, x1, . . . , xn ∈ Rm. Then the mixed partial divided difference of ordernoff is defined by

[x0, x1, . . . , xn]αf

= Z

Sn

Dαf

1−

n

X

j=1

tj

!

x0 +t1x1+· · ·+tnxn

!

dt1dt2. . . dtn,

where

Sn = (

(t1, t2, . . . , tn)|tj ≥0, j = 1,2, . . . , n;

n

X

j=1

tj ≤1 )

.

It is easy to see that if we let m = 1, then[x0, x1, . . . , xn]αf is the ordinary di- vided difference in the univariate case. By the definition of the mixed partial divided difference, we also conclude that

[xσ0, xσ1, . . . , xσn]αf = [x0, x1, . . . , xn]αf

if(σ0, σ1, . . . , σn)is a permutation of(0,1, . . . , n). Finally, we give another defini- tion to end this section.

Definition 2.2 ([4, 5]). Let α ∈ Nm0 with|α| = n, andx0, x1, . . . , xn ∈ Rm. Then the Newton fundamental functions are defined by

ωα(x,{xj}n−1j=0) =

( 1, n= 0,

P

ei1+···+ein

Qn

j=1(x−xj−1)eij, n >0.

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3. Main Result

We start this section with two lemmas. Using the definition of the mixed partial divided difference off we have the following lemma.

Lemma 3.1 (cf. [4,5]). Letα ∈Nm0 with|α|=n. Iff ∈Cn(hx0, x1, . . . , xni), then there exists a pointξ ∈ hx0, x1, . . . , xnisuch that

[x0, x1, . . . , xn]αf = 1

n!Dαf(ξ).

Also using the definition, we have the recurrence relations of the divided differ- ences.

Lemma 3.2. Forβ ∈Nm0 with|β|=n−1, we have [x1, x2, . . . , xn]βf −[x0, x1, . . . , xn−1]βf =

m

X

i=1

(xn−x0)ei[x0, x1, . . . , xn]β+eif.

Proof. By the chain rule for the derivative of the composite function, we have

∂tnDβf

1−

n

X

j=1

tj

!

x0+· · ·+tnxn

!

=

m

X

i=1

Dβ+eif

1−

n

X

j=1

tj

!

x0+· · ·+tnxn

!

(xn−x0)ei.

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Hence, Z 1−Pn−1

j=1tj

0

m

X

i=1

Dβ+eif

1−

n

X

j=1

tj

!

x0+· · ·+tnxn

!

(xn−x0)eidtn

=Dβf t1x1+· · ·+ 1−

n−1

X

j=1

tj

! xn

!

−Dβf

1−

n−1

X

j=1

tj

!

x0+· · ·+tn−1xn−1

! .

Thus, Z

Sn m

X

i=1

Dβ+eif

1−

n

X

j=1

tj

!

x0+· · ·+tnxn

!

(xn−x0)eidtn. . . dt1

= Z

Sn−1

Dβf t1x1+· · ·+ 1−

n−1

X

j=1

tj

! xn

!

dt1. . . dtn−1

− Z

Sn−1

Dβf

1−

n−1

X

j=1

tj

!

x0+· · ·+tn−1xn−1

!

dt1. . . dtn−1,

which implies

m

X

i=1

(xn−x0)ei[x0, x1, . . . , xn]β+eif = [x1, x2, . . . , xn]βf −[x0, x1, . . . , xn−1]βf.

This completes the proof.

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Let hx0, . . . , xn, y0, . . . , yni be the convex hull of x0, x1, . . . , xn, y0, y1, . . . , yn. Now, we state our main theorem as follows.

Theorem 3.3. Letf, g ∈ Cn+1(hx0, . . . , xn, y0, . . . , yni), α ∈ Nm0 , and|α| = n. If for allz ∈ hx0, . . . , xn, y0, . . . , yniwe haveDα+eig(z) > 0 (i = 1,2, . . . , m)and for allxj, yj (j = 0,1, . . . , n)we have xj ≥ yj and Pn

j=0

Pm

i=1(xj −yj)ei 6= 0, then

L≤ [x0, x1, . . . , xn]αf −[y0, y1, . . . , yn]αf [x0, x1, . . . , xn]αg−[y0, y1, . . . , yn]αg ≤U, where

L= min

1≤i≤m inf

z∈hx0,...,xn,y0,...,yni

Dα+eif(z) Dα+eig(z), U = max

1≤i≤m sup

z∈hx0,...,xn,y0,...,yni

Dα+eif(z) Dα+eig(z). Proof. It is evident that

L≤ inf

z∈hx0,...,xn,y0,...,yni

Dα+eif(z) Dα+eig(z)

≤ Dα+eif(z)

Dα+eig(z) ≤ sup

z∈hx0,...,xn,y0,...,yni

Dα+eif(z) Dα+eig(z) ≤U.

SinceDα+eig(z)>0, 1≤i≤m, then

(3.1) LDα+eig(z)≤Dα+eif(z)≤U Dα+eig(z).

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Let

¯

x= 1−

n

X

j=1

tj

!

x0+t1x1+· · ·+tnxn,

¯

y= 1−

n

X

j=1

tj

!

y0 +t1y1+· · ·+tnyn.

Sincef, g∈Cn+1(hx0, . . . , xn, y0, . . . , yni),Dα+eig(z)andDα+eif(z)are continu- ous on each of the contours between the pointsy¯andx. Then we can find three line¯ integrals satisfying

L Z ¯x

¯ y

m

X

i=1

Dα+eig(z)dzi ≤ Z x¯

¯ y

m

X

i=1

Dα+eif(z)dzi

≤U Z ¯x

¯ y

m

X

i=1

Dα+eig(z)dzi.

This implies that

(3.2) L[Dαg(¯x)−Dαg(¯y)]≤Dαf(¯x)−Dαf(¯y)≤U[Dαg(¯x)−Dαg(¯y)].

Integrating(3.2)with respect tot1, t2, . . . , tn over then-dimensional simplexSn as defined in the previous section, we arrive at

L([x0, x1, . . . ,xn]αg−[y0, y1, . . . , yn]αg)

≤[x0, x1, . . . , xn]αf −[y0, y1, . . . , yn]αf

≤U([x0, x1, . . . , xn]αg−[y0, y1, . . . , yn]αg).

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Using Lemmas3.1and3.2, we have

[x0, x1, . . . , xn]αg−[y0, y1, . . . , yn]αg

=

n

X

j=0 m

X

i=1

(xj−yj)ei[y0, . . . , yj, xj, . . . , xn]α+eig

= 1

(n+ 1)!

n

X

j=0 m

X

i=1

(xj−yj)eiDα+eig(ξi,j), whereξi,j ∈ hx0, . . . , xn, y0, . . . , yni. Since xj ≥ yj, Pn

j=0

Pm

i=1(xj −yj)ei 6= 0 andDα+eig(z)>0, we have

[x0, x1, . . . , xn]αg−[y0, y1, . . . , yn]αg >0.

Thus,

L≤ [x0, x1, . . . , xn]αf −[y0, y1, . . . , yn]αf [x0, x1, . . . , xn]αg−[y0, y1, . . . , yn]αg ≤U.

This completes the proof.

Consideringpi(z) = P

ei0+ei1+···+ein=α+eizα+ei, i = 1,2, . . . , m, we can obtain that

pi(z) = ωα+ei(z,{0}nj=0).

Further, let

p(z) = 1

(n+ 1)!

m

X

i=1

pi(z).

By calculating, we have

p(z) =

m

X

i=1

1

(α+ei)!zα+ei.

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This implies that, for1≤i≤m,

Dα+eip(z) = 1>0, and

Dαp(z) =

m

X

i=1

zei.

Then

[x0, x1, . . . , xn]αp

= Z

Sn

Dαp

1−

n

X

j=1

tj

!

x0+t1x1+· · ·+tnxn

!

dt1dt2· · ·dtn

=

m

X

i=1

Z

Sn

1−

n

X

j=1

tj

!

x0+t1x1+· · ·+tnxn

!ei

dt1dt2· · ·dtn

=

m

X

i=1

Z

Sn

1−

n

X

j=1

tj

!

(x0)ei+t1(x1)ei+· · ·+tn(xn)ei

!

dt1dt2· · ·dtn

= 1

(n+ 1)!

n

X

j=0 m

X

i=1

(xj)ei.

Therefore, if we takeg(z) = p(z)in Theorem3.3, we have the following corol- lary.

Corollary 3.4. Let f ∈ Cn+1 (hx0, . . . , xn, y0, . . . , yni), α ∈ Nm0 , and|α| = n. If for allxj, yj (j = 0,1, . . . , n)we have xj ≥ yj and Pn

j=0

Pm

i=1(xj −yj)ei 6= 0, then

L0 ≤[x0, x1, . . . , xn]αf−[y0, y1, . . . , yn]αf ≤U0,

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where

L0 = 1

(n+ 1)! min

1≤i≤m inf

z∈hx0,...,xn,y0,...,yniDα+eif(z)

n

X

j=0 m

X

i=1

(xj−yj)ei,

U0 = 1

(n+ 1)! max

1≤i≤m sup

z∈hx0,...,xn,y0,...,yni

Dα+eif(z)

n

X

j=0 m

X

i=1

(xj−yj)ei.

In fact, from the procedure of the proof of Theorem3.3, it is not difficult to find that the conditions of the corollary can be weakened. If we replace xj ≥ yj and Pn

j=0

Pm

i=1(xj−yj)ei 6= 0byPn j=0

Pm

i=1(xj −yj)ei >0, the corollary holds true as well.

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References

[1] A. CAVARETTA, C. MICCHELLI AND A. SHARMA, Multivariate interpola- tion and the Radon transform, Math. Z., 174A (1980), 263–279.

[2] A.I. KECHRINIOTIS AND N.D. ASSIMAKIS, On the inequality of the dif- ference of two integral means and applications for pdfs, J. Inequal. Pure and Appl. Math., 8(1) (2007), Art. 10. [ONLINE:http://jipam.vu.edu.au/

article.php?sid=839].

[3] J. PE ˇCARI ´C, AND M. RODI ´C LIPANOVI ´C, On an inequality for divided dif- ferences, Asian-European J. Math., 1(1) (2008), 113–120.

[4] X. WANG AND M. LAI, On multivariate newtonian interpolation, Scientia Sinica, 29 (1986), 23–32.

[5] X. WANGANDA. XU, On the divided difference form of Faà di Bruno formula II, J. Comput. Math., 25(6) (2007), 697–704.

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