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Grüss Inequality in Inner Product Spaces

This is the Published version of the following publication

Dragomir, Sever S (1998) Grüss Inequality in Inner Product Spaces. RGMIA research report collection, 1 (1).

The publisher’s official version can be found at

Note that access to this version may require subscription.

Downloaded from VU Research Repository https://vuir.vu.edu.au/17103/

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RGMIA Research Report Collection, Vol. 1, No. 1, 1998 http://sci.vut.edu.au/rgmia/reports.html

GR ¨ USS INEQUALITY IN INNER PRODUCT SPACES

S.S. DRAGOMIR

Dedicated to the memory of my grandfather Teodor Radu.

Abstract. A generalization of Gr¨uss integral inequality in inner product spaces is given.

1 Introduction

In 1935, G. Gr¨uss proved the following integral inequality:

1 b−a

Zb

a

f(x)g(x)dx− 1 b−a

Zb

a

f(x)dx· 1 b−a

Zb

a

g(x)dx

1

4(Φ−φ)(Γ−γ)

provided that f and g are two integrable functions on [a, b] and satisfying the condition

φ≤f(x)Φ and γ≤g(x)Γ for allx∈[a, b].

The constant 14 is thebest possible and is achieved for f(x) =g(x) =sgn

x−a+b 2

.

For other similar results, generalizations for positive linear functionals, dis- crete versions, determinantal versions etc. see the Chapter X of the book [1] by Mitrinovi´c, Peˇcari´c and Fink where further references are given.

In this paper we point out a version of Gr¨uss’ inequality in inner product spaces.

2 The Results

The following theorem holds

Date.October, 1998

1991 Mathematics Subject Classification. Primary 26 D 15; Secondary 46 C xx.

Key words and phrases.Gr¨uss Inequality, Inner Product Spaces.

71

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72 Dragomir

Theorem 2.1. Let(X; (., .))be a real inner product space and e∈X,kek= 1.

If φ, γ,Φ,Γ are real numbers andx, y are vectors inX so that the conditione−x, x−φe)0 ande−y, y−γe)0

(2.1)

holds, then we have the inequality

|(x, y)(x, e)(e, y)| ≤ 1

4|Φ−φ| · |Γ−γ|. (2.2)

The constant 14 is the best possible.

Proof. Firstly, let observe that

(x, y)(x, e)(e, y) = (x−(x, e)e, y−(y, e)e).

Using Schwarz’s inequality in inner product spaces, we have

|(x−(x, e)e, y−(y, e)e)|2 (2.3)

≤ kx−(x, e)ek2· ky−(y, e)ek2

=

kxk2− |(x, e)|2 kyk2− |(y, e)|2

.

On the other hand, a simple computation shows that (Φ(x, e))·((x, e)−φ)e−x, x−φe)

=kxk2− |(x, e)|2 and

(y, e))·((y, e)−γ)e−y, y−γe)

=kyk2− |(y, e)|2. From the condition (2.1) we deduce now

kxk2− |(x, e)|2(x, e))·((x, e)−φ) (2.4)

and

kyk2− |(y, e)|2(y, e))·((y, e)−γ). (2.5)

Using the elementary inequality 4ab≤(a+b)2holding for each real numbers a, b; fora:= Φ(x, e) andb:= (x, e)−φ,we get

(x, e))·((x, e)−φ)1

4(Φ−φ)2 (2.6)

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Gr¨uss Inequality in Inner Product Spaces 73

and, similarly,

(y, e))·((y, e)−γ)1

4(Γ−γ)2. (2.7)

Consequently, using the inequalities (2.3)(2.7),we have successively

|(x, y)(x, e) (e, y)|2

kxk2− |(x, e)|2 kyk2− |(y, e)|2

(x, e))·((x, e)−φ)·(y, e))·((y, e)−γ)

1

16(Φ−φ)2−γ)2 from where we get the desired inequality (2.2).

To prove that the constant 14is sharp, lete, m∈Xwithkek=kmk= 1, e⊥m and assume thatφ, γ,Φ,Γ are real numbers. Define the vectors

x:= φ+ Φ

2 e−φ

2 m

and

y:=Γ +γ

2 e−γ 2 m.

Then

e−x, x−φe) =

Φ−φ 2

2

(e−m, e+m) = 0 and, similarly,

e−y, y−γe) = 0, i.e., the condition (2.1) holds.

Now, let observe that (x, y) =

φ+ Φ 2

·

Γ +γ 2

+

Φ−φ 2

·

Γ−γ 2

and

(x, e) (e, y) =

φ+ Φ 2

·

Γ +γ 2

.

Consequently,

|(x, y)(x, e) (e, y)| = 1

4|Φ−φ| · |Γ−γ| which shows that the constant 14 is sharp.

RGMIA Research Report Collection, Vol. 1, No. 1, 1998

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74 Dragomir

3 Some Applications

Let (Ω,Σ, µ) be a measure space consisting of a set Ω , a σ−algebra Σ of subsets of Ω and a countably additive and positive measureµon Σ with values inR∪{∞}.DenoteL2(Ω) the Hilbert space of all real valued functionsxdefined on Ω and 2-integrable on Ω , i.e.,R

|x(s)|2(s)<∞.

Proposition 3.1. Let f, g∈L2(Ω), m, M, n, N R ande∈L2(Ω) is so that R

|e(s)|2(s) = 1. If the following condition holds

me≤f ≤M e, ne≤g≤N e a.e. on, then we have the Gr¨uss type inequality

Z

f(s)g(s)(s) Z

f(s)e(s)(s)· Z

e(s)g(s)(s) (3.1)

1

4(M−m) (N−n). The constant 14 is the best possible.

Proof. Consider the inner product (f, g) = Z

f(s)g(s)(s).

Then we have

(M e−f, f−me) = Z

(M e(s)−f(s)) (f(s)−me(s))(s)0 and, similarly,

(N e−g, g−ne)0.

Applying Theorem 2.1 for the Hilbert spaceL2(Ω), we get the desired inequality (3.1).

Now, if we assume that µ(Ω)<∞,then we can obtain the following Gr¨uss inequality for integral means:

Proposition 3.2. Let L2(Ω) be as above andµ(Ω) <∞. If f, g∈ L2(Ω) and p, P, q, Q are real numbers so that

p≤f ≤P, q≤g≤Q a.e. on, then we have the inequality

1 µ(Ω)

Z

f(s)g(s)(s) 1 µ(Ω)

Z

f(s)(s)· 1 µ(Ω)

Z

g(s)(s)

1

4(P−p) (Q−q). The constant 14 is sharp.

RGMIA Research Report Collection, Vol. 1, No. 1, 1998

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Gr¨uss Inequality in Inner Product Spaces 75

Proof. The proof follows by the above proposition choosing

e= 1

[µ(Ω)]1/2 ,

and

M = [µ(Ω)]1/2P, m= [µ(Ω)]1/2p, N = [µ(Ω)]1/2Q and n= [µ(Ω)]1/2q.

We omit the details.

Remark 3.1. It is important to observe that our Gr¨uss type inequality also holds for integrals considered on infinite intervals.

If ρ : (−∞,+) (0,∞) is a probability density function, i.e., R+

−∞

ρ(t)dt= 1,thenρ12 ∈L2(−∞,+) and obviously12k2= 1.Consequently, if we assume thatf, g∈L2(−∞,+) and

αρ12 ≤f Ψρ12, βρ12 ≤g≤Θρ12 a.e. on (−∞,+), then we have the inequality

+

Z

−∞

f(t)g(t)dt−

+

Z

−∞

f(t)ρ1/2(t)dt·

+

Z

−∞

f(t)ρ1/2(t)dt (3.2)

1

4(Ψ−α) (Θ−β).

Finally, we would like to note that, in this way, we can state many Gr¨uss type inequalities by choosing the following well known probability distributions

ρ(t) = 1

λeλt, t >0, λ >0 (Exponential distribution) ρ(t) = 1

2λe|t−θ|λ , λ >0, −∞< t, θ <∞ (Laplace distribution) or, Cauchy, Gamma, Erlang, Logistic, Maxwell-Boltzman, Pareto, Rayleigh dis- tributions etc...

We omit the details.

References

[1] MITRINOVI ´C, D.S. ; PE ˇCARI ´C, J.E. ; FINK , A.M.; Classical and New Inequalities in Analysis, Kluwer Academic Publishers, Dordrecht, 1993.

School of Communications and Informatics, Victoria University of Technology, PO Box 14428, MCMC Melbourne, Victoria 8001, Australia

E-mail address: [email protected]

RGMIA Research Report Collection, Vol. 1, No. 1, 1998

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