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volume 3, issue 5, article 68, 2002.

Received 6 May, 2002;

accepted 3 June, 2002.

Communicated by:P. Bullen

Abstract Contents

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Journal of Inequalities in Pure and Applied Mathematics

OSTROWSKI TYPE INEQUALITIES FOR ISOTONIC LINEAR FUNCTIONALS

S.S. DRAGOMIR

School of Communications and Informatics Victoria University of Technology

PO Box 14428 Melbourne City MC 8001 Victoria, Australia

EMail:sever@matilda.vu.edu.au

URL:http://rgmia.vu.edu.au/SSDragomirWeb.html

c

2000Victoria University ISSN (electronic): 1443-5756 047-02

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Ostrowski Type Inequalities for Isotonic Linear Functionals

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Abstract

Some inequalities of Ostrowski type for isotonic linear functionals defined on a linear class of functionL :={f : [a, b]→R}are established. Applications for integral and discrete inequalities are also given.

2000 Mathematics Subject Classification:Primary 26D15, 26D10.

Key words: Ostrowski Type Inequalities, Isotonic Linear Functionals.

Contents

1 Introduction. . . 3

2 Preliminaries . . . 8

3 Ostrowski Type Inequalities. . . 13

4 The Case where|f0|is Convex . . . 19

5 Some Integral Inequalities . . . 21

6 Some Discrete Inequalities. . . 24 References

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Ostrowski Type Inequalities for Isotonic Linear Functionals

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1. Introduction

The following result is known in the literature as Ostrowski’s inequality [13].

Theorem 1.1. Letf : [a, b]→ Rbe a differentiable mapping on(a, b)with the property that|f0(t)| ≤M for allt∈(a, b). Then

(1.1)

f(x)− 1 b−a

Z b a

f(t)dt

"

1

4+ x− a+b2 2

(b−a)2

#

(b−a)M for allx∈[a, b].

The constant 14 is the best possible in the sense that it cannot be replaced by a smaller constant.

The following Ostrowski type result for absolutely continuous functions whose derivatives belong to the Lebesgue spacesLp[a, b]also holds (see [9], [10] and [11]).

Theorem 1.2. Let f : [a, b] → Rbe absolutely continuous on [a, b]. Then, for allx∈[a, b], we have:

(1.2)

f(x)− 1 b−a

Z b a

f(t)dt













1

4 +x−a+b 2

b−a

2

(b−a)kf0k iff0 ∈L[a, b] ;

(b−a)1p (p+1)

1 p

h x−a b−a

p+1

+ b−xb−ap+1i1p

kf0kq iff0 ∈Lq[a, b], 1p +1q = 1, p >1;

h1 2 +

x−a+b

2

b−a

ikf0k1;

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wherek·kr (r∈[1,∞]) are the usual Lebesgue norms onLr[a, b], i.e., kgk :=ess sup

t∈[a,b]

|g(t)|

and

kgkr :=

Z b a

|g(t)|rdt 1r

, r∈[1,∞).

The constants 14, 1

(p+1)

1

p and 12 respectively are sharp in the sense presented in Theorem1.1.

The above inequalities can also be obtained from Fink’s result in [12] on choosingn= 1and performing some appropriate computations.

If one drops the condition of absolute continuity and assumes thatfis Hölder continuous, then one may state the result (see [7]):

Theorem 1.3. Letf : [a, b]→Rbe ofr−H−Hölder type, i.e., (1.3) |f(x)−f(y)| ≤H|x−y|r, for all x, y ∈[a, b],

where r ∈ (0,1] and H > 0 are fixed. Then for allx ∈ [a, b] we have the inequality:

(1.4)

f(x)− 1 b−a

Z b a

f(t)dt

≤ H r+ 1

"

b−x b−a

r+1

+

x−a b−a

r+1#

(b−a)r. The constant r+11 is also sharp in the above sense.

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Note that ifr = 1, i.e.,f is Lipschitz continuous, then we get the following version of Ostrowski’s inequality for Lipschitzian functions (with Linstead of H) (see [3])

(1.5)

f(x)− 1 b−a

Z b a

f(t)dt

 1

4+ x− a+b2 b−a

!2

(b−a)L.

Here the constant 14 is also best.

Moreover, if one drops the continuity condition of the function, and assumes that it is of bounded variation, then the following result may be stated (see [4]).

Theorem 1.4. Assume that f : [a, b] → Ris of bounded variation and denote byWb

a(f)its total variation. Then (1.6)

f(x)− 1 b−a

Z b a

f(t)dt

"

1 2+

x−a+b2 b−a

# b _

a

(f) for allx∈[a, b].

The constant 12 is the best possible.

If we assume more about f, i.e., f is monotonically increasing, then the inequality (1.6) may be improved in the following manner [5] (see also [2]).

Theorem 1.5. Let f : [a, b] → R be monotonic nondecreasing. Then for all

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x∈[a, b], we have the inequality:

f(x)− 1 b−a

Z b a

f(t)dt (1.7)

≤ 1 b−a

[2x−(a+b)]f(x) + Z b

a

sgn(t−x)f(t)dt

≤ 1

b−a{(x−a) [f(x)−f(a)] + (b−x) [f(b)−f(x)]}

"

1 2+

x− a+b2 b−a

#

[f(b)−f(a)].

All the inequalities in (1.7) are sharp and the constant 12 is the best possible.

The version of Ostrowski’s inequality for convex functions was obtained in [6] and is incorporated in the following theorem:

Theorem 1.6. Let f : [a, b] → Rbe a convex function on[a, b]. Then for any x∈(a, b)we have the inequality

1 2

(b−x)2f+0 (x)−(x−a)2f_0(x) (1.8)

≤ Z b

a

f(t)dt−(b−a)f(x)

≤ 1 2

(b−x)2f0 (b)−(x−a)2f+0 (a) . In both parts of the inequality (1.8) the constant 12 is sharp.

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Ostrowski Type Inequalities for Isotonic Linear Functionals

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For other Ostrowski type inequalities, see [8].

In this paper we extend Ostrowski’s inequality for arbitrary isotonic linear functionals A : L → R, where L is a linear class of absolutely continuous functions defined on[a, b].Some applications for particular instances of linear functionalsAare also provided.

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2. Preliminaries

LetLbe a linear class of real-valued functions,g :E →Rhaving the proper- ties

(L1) f, g∈Limply(αf +βg)∈Lfor allα, β ∈R; (L2) 1∈L,i.e., iff(t) = 1,t ∈E,thenf ∈L.

An isotonic linear functionalA:L→Ris a functional satisfying (A1) A(αf +βg) = αA(f) +βA(g)for allf, g∈Landα, β ∈R; (A2) Iff ∈Landf ≥0, thenA(f)≥0.

The mappingAis said to be normalised if (A3) A(1) = 1.

Usual examples of isotonic linear functional that are normalised are the fol- lowing ones

A(f) := 1 µ(X)

Z

X

f(x)dµ(x), if µ(X)<∞ or

Aw(f) := 1 R

Xw(x)dµ(x) Z

X

w(x)f(x)dµ(x), where w(x) ≥ 0, R

Xw(x)dµ(x) > 0, X is a measurable space and µ is a positive measure onX.

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In particular, forx¯ = (x1, . . . , xn),w¯ := (w1, . . . , wn) ∈ Rn withwi ≥ 0, Wn:=Pn

i=1wi >0we have

A(¯x) := 1 n

n

X

i=1

xi

and

Aw¯(¯x) := 1 Wn

n

X

i=1

wixi,

are normalised isotonic linear functionals onRn.

The following representation result for absolutely continuous functions holds.

Lemma 2.1. Letf : [a, b] → Rbe an absolutely continuous function on[a, b]

and define e(t) = t, t ∈ [a, b], g(t, x) = R1

0 f0[(1−λ)x+λt]dλ, t ∈ [a, b]

andx∈[a, b].IfA:L→Ris a normalised linear functional on a linear class Lof absolutely continuous functions defined on[a, b]and(x−e)·g(·, x)∈L, then we have the representation

(2.1) f(x) = A(f) +A[(x−e)·g(·, x)], forx∈[a, b].

Proof. For anyx, t ∈[a, b]witht6=x,one has f(x)−f(t)

x−t = Rx

t f0(u) x−t =

Z 1 0

f0[(1−λ)x+λt]dλ =g(t, x),

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giving the equality

(2.2) f(x) =f(t) + (x−t)g(t, x) for anyt, x∈[a, b].

Applying the functionalA,we get

A(f(x)·1) =A(f + (x−e)g(·, x)), for anyx∈[a, b].

Since

A(f(x)·1) =f(x)A(1) =f(x) and

A(f + (x−e)·g(·, x)) =A(f) +A((x−e)·g(·, x)), the equality (2.1) is obtained.

The following particular cases are of interest:

Corollary 2.2. Let f : [a, b] → R be an absolutely continuous function on [a, b].Then we have the representation:

(2.3) f(x) = 1 Rb

aw(t)dt Z b

a

w(t)f(t)dt

+ 1

Rb

a w(t)dt Z b

a

w(t) (x−t) Z 1

0

f0[(1−λ)x+λt]dλ

dt

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for anyx ∈[a, b],wherep : [a, b]→ Ris a Lebesgue integrable function with Rb

a w(t)dt6= 0.

In particular, we have

(2.4) f(x) = 1 b−a

Z b a

f(t)dt

+ 1

b−a Z b

a

(x−t) Z 1

0

f0[(1−λ)x+λt]dλ

dt for eachx∈[a, b].

The proof is obvious by Lemma2.1applied for the normalised linear func- tionals

Aw(f) := 1 Rb

a w(t)dt Z b

a

w(t)f(t)dt, A(f) := 1 b−a

Z b a

f(t)dt defined on

L:={f : [a, b]→R, f is absolutely continuous on [a, b]}. The following discrete case also holds.

Corollary 2.3. Let f : [a, b] → R be an absolutely continuous function on [a, b].Then we have the representation:

(2.5) f(x) = 1 Wn

n

X

i=1

wif(xi)

+ 1 Wn

n

X

i=1

wi(x−xi) Z 1

0

f0[(1−λ)x+λxi]dλ

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for any x ∈ [a, b], where xi ∈ [a, b], wi ∈ R (i={1, . . . , n}) with Wn :=

Pn

i=1wi 6= 0.

In particular, we have

(2.6) f(x) = 1 n

n

X

i=1

f(xi) + 1 n

n

X

i=1

(x−xi) Z 1

0

f0[(1−λ)x+λxi]dλ

for anyx∈[a, b].

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3. Ostrowski Type Inequalities

The following theorem holds.

Theorem 3.1. With the assumptions of Lemma2.1, and assuming thatA:L→ Ris isotonic, then we have the inequalities

(3.1) |f(x)−A(f)|















 A

|x−e| kf0k[x,·],∞

if |x−e| kf0k[x,·],∞∈L, f0 ∈L[a, b] ; A

|x−e|1q kf0k[x,·],p

if |x−e|1q kf0k[x,·],p ∈L, f0 ∈Lp[a, b], p > 1, 1p +1q = 1;

A

kf0k[x,·],1

if kf0k[x,·],1 ∈L, where

khk[m,n],∞ :=ess sup

t∈[m,n]

(t∈[n,m])

|h(t)| and

khk[m,n],p :=

Z n m

|h(t)|pdt

1 p

, p≥1.

If we denote

M(x) := A

|x−e| kf0k[x,·],∞

, Mp(x) := A

|x−e|1q kf0k[x,·],p

, andM1(x) := A

kf0k[x,·],1 ,

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then we have the inequalities:

(3.2) M(x)

















kf0k[a,b],∞A(|x−e|) if |x−e| ∈L, f0 ∈L[a, b] ; h

A

kf0kβ[x,·],∞iβ1

[A(|x−e|α)]α1

if kf0kβ[x,·],∞,|x−e|α ∈L, f0 ∈L[a, b], α >1, α1 + 1β = 1;

1

2(b−a) +

x− a+b2

A

kf0k[x,·],∞

if kf0k[x,·],∞∈L, f0 ∈L[a, b].

(3.3) Mp(x)



















 max

n

kf0k[a,x],p,kf0k[x,b],po A

|x−e|1q

if |x−e|1q ∈L, f0 ∈Lp[a, b] ; h

A

kf0kβ[x,·],pi1β h A

|x−e|αqiα1

if kf0kβ[x,·],p,|x−e|αq ∈L, f0 ∈Lp[a, b], α >1, α1 + 1β = 1;

1

2(b−a) +

x− a+b2

1q A

kf0k[x,·],p

if kf0k[x,·],p∈L, f0 ∈Lp[a, b]

and

(3.4) M1(x)≤





1

2kf0k[a,b],1+ 12

kf0k[a,x],1− kf0k[x,b],1 , h

A

kf0kβ[x,·],1iβ1

, β >1.

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Proof. Using (2.1) and taking the modulus, we have

|f(x)−A(f)|=|A((x−e)·g(·, x))|

(3.5)

≤A(|(x−e)·g(·, x)|)

=A(|x−e| |g(·, x)|). Fort6=x(t, x∈[a, b])we may state

|g(t, x)| ≤ Z 1

0

|f0((1−λ)x+λt)|dλ

≤ess sup

λ∈[0,1]

|f0((1−λ)x+λt)|

=kf0k[x,t],∞. Hölder’s inequality will produce

|g(t, x)| ≤ Z 1

0

|f0((1−λ)x+λt)|dλ

≤ Z 1

0

|f0((1−λ)x+λt)|p1p

= 1

x−t Z x

t

|f0(u)|pdu 1p

=|x−t|1p kf0k[x,t],p, p > 1, 1 p +1

q = 1;

and finally

|g(t, x)| ≤ Z 1

0

|f0((1−λ)x+λt)|dλ = 1

t−xkf0k[x,t],1.

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Consequently

(3.6) |(x−e)| |g(·, x)| ≤













|x−e| kf0k[x,·],∞ if f0 ∈L[a, b] ;

|x−e|1q kf0k[x,·],p if f0 ∈Lp[a, b], kf0k[x,·],1

for anyx∈[a, b].

Applying the functionalAto (3.6) and using (3.5) we deduce the inequality (3.1).

We have

M(x)≤ sup

t∈[a,b]

nkf0k[x,t],∞o

A(|x−e|)

= max n

kf0k[a,x],∞,kf0k[x,b],∞o

A(|x−e|)

=kf0k[a,b],∞A(|x−e|) and the first inequality in (3.2) is proved.

Using Hölder’s inequality for the functionalA,i.e., (3.7) |A(hg)| ≤[A(|h|α)]α1 h

A

|g|βiβ1

, α >1, 1 α + 1

β = 1, wherehg,|h|α,|g|β ∈L, we have

M(x)≤[A(|x−e|α)]α1 h A

kf0kβ[x,·],∞i1β

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and the second part of (3.2) is proved.

In addition,

M(x)≤ sup

t∈[a,b]

|x−t|A

kf0k[x,·],∞

= max{x−a, b−x}A

kf0k[x,·],∞

= 1

2(b−a) +

x− a+b 2

A

kf0k[x,·],∞

and the inequality (3.2) is completely proved.

We also have

Mp(x)≤ sup

t∈[a,b]

nkf0k[x,t],po A

|x−e|1q

= maxn

kf0k[a,x],p,kf0k[x,b],po A

|x−e|1q . Using Hölder’s inequality (3.7) one has

Mp(x)≤h A

|x−e|αqiα1 h A

kf0kβ[x,·],piβ1

, α >1, 1 α + 1

β = 1 and

Mp(x)≤ sup

t∈[a,b]

n|x−t|1qo A

kf0k[x,·],p

= maxn

(x−a)1q ,(b−x)1qo A

kf0k[x,·],p

= 1

2(b−a) +

x− a+b 2

1q A

kf0k[x,·],p ,

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proving the inequality (3.3).

Finally, A

kf0k[x,·],1

≤ sup

t∈[a,b]

nkf0k[x,t],1o A(1)

= maxn

kf0k[a,x],1,kf0k[x,b],1o

= 1

2kf0k[a,b],1+1 2

kf0k[a,x],1− kf0k[x,b],1 . By Hölder’s inequality, we have

A

kf0k[x,·],1

≤h A

kf0kβ[x,·],1i1β

, β >1, and the last part of (3.4) is also proved.

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4. The Case where |f

0

| is Convex

The following theorem also holds.

Theorem 4.1. Let f : [a, b] → R be an absolutely continuous function such thatf0 : (a, b) →Ris convex in absolute value, i.e.,|f0|is convex on (a, b).If A :L→Ris a normalised isotonic linear functional and|x−e|,|x−e| |f0| ∈ L,then

(4.1) |f(x)−A(f)| ≤ 1

2[|f0(x)|A(|x−e|) +A(|x−e| |f0|)]

















1 2

hkf0k[a,b],∞+|f0(x)|i

A(|x−e|), if f0 ∈L[a, b] ;

1 2

|f0(x)|A(|x−e|) + [A(|x−e|α)]α1 h A

|f0|βiβ1 if |x−e|α,|f0|β ∈L, α >1, α1 + 1β = 1;

1 2

|f0(x)|A(|x−e|) +1

2(b−a) +

x− a+b2

A(|f0|)

if |f0| ∈L.

Proof. Since|f0|is convex, we have

|g(t, x)| ≤ Z 1

0

|f0((1−λ)x+λt)|dλ

=|f0(x)|

Z 1 0

(1−λ)dλ+|f0(t)|

Z 1 0

λdλ

= |f0(x)|+|f0(t)|

2 .

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Thus,

|f(x)−A(f)| ≤A

|x−e| · |f0(x)|+|f0(t)|

2

= 1

2[|f0(x)|A(|x−e|) +A(|x−e| |f0|)]

and the first part of (4.1) is proved.

We have

A(|x−e| |f0|)≤ess sup

t∈[a,b]

{|f0(t)|} ·A(|x−e|)

=kf0k[a,b],∞A(|x−e|). By Hölder’s inequality for isotonic linear functionals, we have

A(|x−e| |f0|)≤[A(|x−e|α)]α1 h

A

|f0|βiβ1

, α >1, 1 α + 1

β = 1 and finally,

A(|x−e| |f0|)≤ sup

t∈[a,b]

|x−t| ·A(|f0|)

= max (x−a, b−x)·A(|f0|)

= 1

2(b−a) +

x− a+b 2

A(|f0|). The theorem is thus proved.

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5. Some Integral Inequalities

If we consider the normalised isotonic linear functionalA(f) = b−a1 Rb

a f, then by Theorem3.1 forf : [a, b] → Ran absolutely continuous function, we may state the following integral inequalities

f(x)− 1 b−a

Z b a

f(t)dt (5.1)

≤ 1 b−a

Z b a

|x−t| kf0k[x,t],∞dt

































kf0k[a,b],∞

1 4 +

x−a+b 2

b−a

2

(b−a) (Ostrowski’s inequality) providedf0 ∈L[a, b] ; h 1

b−a

Rb

a kf0kβ[x,t],∞dtiβ1 h(b−x)α+1+(x−a)α+1 (α+1)(b−a)

iα1

iff0 ∈L[a, b], kf0k[x,·],∞ ∈Lβ[a, b], α >1, α1 +β1 = 1;

1

2 +|x−a+b2 |

b−a

Rb

akf0k[x,t],∞dt

iff0 ∈L[a, b], and if kf0k[x,·],∞ ∈L1[a, b], for eachx∈[a, b] ;

(5.2)

f(x)− 1 b−a

Z b a

f(t)dt

≤ 1 b−a

Z b a

|x−t|1q kf0k[x,t],pdt

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































qmaxn

kf0k[a,x],p,kf0k[x,b],po

(b−x)1q+1+(x−a)1q+1 (b−a)(q+1)

,

p >1, 1p +1q = 1 andf0 ∈Lp[a, b] ; qα1

1 b−a

Rb

akf0kβ[x,t],pdt1β

(b−x)αq+1+(x−a)αq+1 (b−a)(q+α)

α1

iff0 ∈Lp[a, b], and kf0k[x,·],p ∈Lβ[a, b], whereα >1, α1 +β1 = 1

1

2 + |x−a+b2 |

b−a

1q

1 b−a

Rb

akf0k[x,t],pdt

iff0 ∈Lp[a, b], and kf0k[x,·],p ∈L1[a, b], for eachx∈[a, b]and

f(x)− 1 b−a

Z b a

f(t)dt (5.3)

≤ 1 b−a

Z b a

kf0k[x,t],1dt









1

2 kf0k[a,b],1+12

kf0k[a,x],1− kf0k[x,b],1

iff0 ∈L1[a, b] ; 1

b−a

Rb

a kf0kβ[x,t],1dt 1β

iff0 ∈L1[a, b], kf0k[x,.],1 ∈Lβ[a, b], whereβ >1, for eachx∈[a, b].

If we assume now thatf : [a, b]→Ris absolutely continuous and such that

|f0|is convex on (a, b),then by Theorem4.1 we obtain the following integral

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inequalities established in [1]

(5.4)

f(x)− 1 b−a

Z b a

f(t)dt

≤ 1 2

|f0(x)|

 1

4 + x− a+b2 b−a

!2

(b−a) + 1 b−a

Z b a

|x−t| |f0(t)|dt

































1 2

hkf0k[a,b],∞+|f0(x)|i

1

4 +x−a+b 2

b−a

2

(b−a) iff0 ∈L[a, b] ;

1 2

|f0(x)|

1

4 +x−a+b 2

b−a

2

(b−a) +h(b−x)α+1+(x−a)α+1

(α+1)(b−a)

iα1 h

1 b−a

Rb

a|f0(t)|βdtiβ1 if f0 ∈Lβ[a, b], α >1, α1 +β1 = 1;

1 2

|f0(x)|

1

4 +x−a+b 2

b−a

2

(b−a) +

1

2 +|x−a+b2 |

b−a

Rb

a|f0(t)|dt

iff0 ∈L1[a, b], for eachx∈[a, b].

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6. Some Discrete Inequalities

For a given interval[a, b],consider the division

In:a=x0 < x1 <· · ·< xn−1 < xn =b

and the intermediate pointsξi ∈[xi, xi+1], i= 0, n−1.Ifhi :=xi+1−xi >0 i= 0, n−1

we may define the following functionals

A(f;In, ξ) := 1 b−a

n−1

X

i=0

f(ξi)hi (Riemann Rule)

AT (f;In) := 1 b−a

n−1

X

i=0

f(xi) +f(xi+1)

2 ·hi (Trapezoid Rule) AM (f;In) := 1

b−a

n−1

X

i=0

f

xi+xi+1 2

·hi (Mid-point Rule) AS(f;In) := 1

3AT (f;In) + 2

3AM (f;In). (Simpson Rule)

We observe that, all the above functionals are obviously linear, isotonic and normalised.

Consequently, all the inequalities obtained in Sections2 and 3may be ap- plied for these functionals.

If, for example, we use the following inequality (see Theorem3.1) (6.1) |f(x)−A(f)| ≤ kf0k[a,b]A(|x−e|), x∈[a, b],

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provided f : [a, b] → Ris absolutely continuous andf0 ∈ L[a, b],then we get the inequalities

(6.2)

f(x)− 1 b−a

n−1

X

i=0

f(ξi)hi

≤ kf0k[a,b],∞ 1 b−a

n−1

X

i=0

|x−ξi|hi,

(6.3)

f(x)− 1 b−a

n−1

X

i=0

f(xi) +f(xi+1)

2 ·hi

≤ kf0k[a,b],∞· 1 b−a

n−1

X

i=0

|x−xi|+|x−xi+1|

2 hi,

(6.4)

f(x)− 1 b−a

n−1

X

i=0

f

xi+xi+1 2

·hi

≤ kf0k[a,b],∞ 1 b−a

n−1

X

i=0

x− xi+xi+1 2

hi,

for eachx∈[a, b].

Similar results may be stated if one uses for example Theorem4.1. We omit the details.

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References

[1] N.S. BARNETT, P. CERONE, S.S. DRAGOMIR, M.R. PINHEIRO AND

A. SOFO, Ostrowski type inequalities for functions whose modulus of derivatives are convex and applications, Res. Rep. Coll., 5(2) (2002), Arti- cle 1. [ONLINE:http://rgmia.vu.edu.au/v5n2.html]

[2] P. CERONEANDS.S. DRAGOMIR, Midpoint type rules from an inequal- ities point of view, in Analytic-Computational Methods in Applied Mathe- matics, G.A. Anastassiou (Ed), CRC Press, New York, 2000, 135-200.

[3] S.S. DRAGOMIR, The Ostrowski’s integral inequality for Lipschitzian mappings and applications, Comp. and Math. with Appl., 38 (1999), 33- 37.

[4] S.S. DRAGOMIR, On the Ostrowski’s inequality for mappings of bounded variation and applications, Math. Ineq. & Appl., 4(1) (2001), 33–40.

[5] S.S. DRAGOMIR, Ostrowski’s inequality for monotonous mappings and applications, J. KSIAM, 3(1) (1999), 127–135.

[6] S.S. DRAGOMIR, An Ostrowski type inequality for convex functions, Res. Rep. Coll., 5(1) (2002), Article 5. [ONLINE:

http://rgmia.vu.edu.au/v5n1.html]

[7] S.S. DRAGOMIR, P. CERONE, J. ROUMELIOTIS AND S. WANG, A weighted version of Ostrowski inequality for mappings of Hölder type and applications in numerical analysis, Bull. Math. Soc. Sci. Math. Roumanie, 42(90)(4) (1992), 301–314.

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[8] S.S. DRAGOMIRANDTh.M. RASSIAS (Eds.), Ostrowski Type Inequal- ities and Applications in Numerical Integration, Kluwer Academic Pub- lishers, Dordrecht/Boston/London, 2002.

[9] S.S. DRAGOMIRANDS. WANG, A new inequality of Ostrowski’s type in L1−norm and applications to some special means and to some numerical quadrature rules, Tamkang J. of Math., 28 (1997), 239–244.

[10] S.S. DRAGOMIR AND S. WANG, Applications of Ostrowski’s inequal- ity to the estimation of error bounds for some special means and some numerical quadrature rules, Appl. Math. Lett., 11 (1998), 105–109.

[11] S.S. DRAGOMIRANDS. WANG, A new inequality of Ostrowski’s type in Lp−norm and applications to some special means and to some numerical quadrature rules, Indian J. of Math., 40(3) (1998), 245–304.

[12] A.M. FINK, Bounds on the deviation of a function from its averages, Czech. Math. J., 42(117) (1992), 289–310.

[13] A. OSTROWSKI, Über die Absolutabweichung einer differentienbaren Funktionen von ihren Integralmittelwert, Comment. Math. Hel, 10 (1938), 226–227.

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