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Volume 2009, Article ID 492154,11pages doi:10.1155/2009/492154

Research Article

Numerical Radius and Operator Norm Inequalities

Khalid Shebrawi

1

and Hussien Albadawi

2

1Department of Applied Sciences, Al-Balqa’ Applied University, 19117 Al-Salt, Jordan

2Department of Basic Sciences and Mathematics, Philadelphia University, 19392 Amman, Jordan

Correspondence should be addressed to Hussien Albadawi,[email protected] Received 4 November 2008; Accepted 2 March 2009

Recommended by Sever Dragomir

A general inequality involving powers of the numerical radius for sums and products of Hilbert space operators is given. This inequality generalizes several recent inequalities for the numerical radius, and includes that ifAandBare operators on a complex Hilbert spaceH, thenwrAB≤ 1/2|A|2r|B|2rforr≥1. It is also shown that ifXiis normali1,2, . . . , n, thenn

i1Xirnr−1n

i1|Xi|r. Related numerical radius and usual operator norm inequalities for sums and products of operators are also presented.

Copyrightq2009 K. Shebrawi and H. Albadawi. 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

Let H be a complex Hilbert space with inner product ·,·, and let BH denote the C- algebra of all bounded linear operators onH. For ABH, the usual operator norm of an operatorAis defined by

A sup

x1Ax, 1.1

wherexx, x1/2.

The numerical range ofA, known also as the field of values ofA, is defined as the set of complex numbers given by

WA

Ax, x:xH,x1

. 1.2

The most important properties of the numerical range are that it is convex and its closure contains the spectrum of the operator.

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A unitarily invariant norm||| · |||onHis a norm on the idealC|||·|||ofBH, satisfying

|||UAV||| |||A|||for allABHand all unitary operatorsUandV inBH. It is called weakly unitarily invariant normor invariant under similaritiesif|||UAU||||||A|||for all ABHand all unitary operatorsUBH.

The most familiar example of weakly unitarily invariant norm is the numerical radius wA,defined by

wA sup

|λ|:λWA

. 1.3

It is well known thatwAdefines a norm onBHand for everyABH, we have

1

2A ≤wA≤ A. 1.4

Thus, the usual operator norm and the numerical radius norm are equivalent. The inequalities in1.4are sharp: ifA2 0, then the first inequality becomes an equality, while the second inequality becomes an equality ifAis normal. In fact, for a nilpotant operatorAwithAn0, Haagerup and Harpe1show thatwA≤ Acosπ/n1. In particular, whenn2, we get the reverse inequality of the first inequality in1.4. For a comprehensive account on the theory of the numerical range and numerical radius, the reader is referred to2,3. A detailed study for the field of values of a matrix is given in4.

The inequalities in1.4have been improved considerably by Kittaneh in5,6. It has been shown that ifABH, then

wA≤ 1

2|A|A≤ 1 2

AA21/2

, 1.5

1

4AAAAw2A≤ 1

2AAAA, 1.6

where|A| AA1/2 is the absolute value ofA. The second inequality in1.5refines the second inequality in1.4. For diverse applications of these inequalities we refer to5,7.

Considerable generalizations of the first inequality in1.5and the second inequality in1.6have been established in8for the numerical radius of one operator and for the sum of two operators. It has been shown that ifA,BBH, then

wrA≤ 1 2

A2rαA2r1−α, 1.7

wrAB≤2r−2A2rαA2r1−αB2rαB2r1−α 1.8

for 0 < α < 1 andr ≥ 1. Other recent inequalities have been obtained in9,10, which are related to the Euclidean radius of two Hilbert space operators andα, β-normal operators in Hilbert spaces, respectively.

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A general numerical radius inequality has been proved by Kittaneh, it has been shown in6that ifA, B, C, D, S, TBH, then

wATBCSD≤ 1 2

AT21−αAB|T|BCS21−αCDSD 1.9

for allα∈0,1. In particular,

wAB±BA≤ 1

2AAAABBBB. 1.10 Usual operator norm inequalities for sums of operators have attracted the attention of several mathematicians. Some of these inequalities have been introduced in3,11. It has been shown in6that ifAandBare normal andr≥1, then

ABr ≤2r−1|A|r|B|r. 1.11 Another important norm inequalities for unitarily invariant norms, which are related to1.11 assert that ifA1, A2, . . . , AnBHare positive andr≥1, then

n i1

Ari

n

i1

Ai r

, 1.12

n

i1

Ai

rnr−1

n i1

Ari

1.13

see, e.g.,12.

In Section 2 of this paper, we establish a general numerical radius inequality that generalizes1.6,1.7,1.8, and1.9, from which numerical radius inequalities for sums, products, and commutators of operators are obtained. Usual operator norm inequalities that generalize1.11and related to1.13are presented inSection 3.

2. A General Numerical Radius Inequality

In this section, we establish a general numerical radius inequality for Hilbert space operators which yields well known and new numerical radius inequalities as special cases. To prove our generalized inequality, we need the following basic lemmas. The first lemma is a generalized form of the mixed Schwarz inequality, which has been proved by Kittaneh13.

Lemma 2.1. Let A be an operator inBH, and letfandgbe nonnegative functions on0,∞which are continuous and satisfy the relationftgt tfor allt∈0,∞.Then

Ax, y≤f

|A|

xgAy 2.1

for allxandyinH.

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The second lemma, which is called H ¨older-McCarthy inequality, is a well-known result that follows from the spectral theorem for positive operators and Jensen’s inequality see 13.

Lemma 2.2. LetAbe a positive operator inBHand letxHbe any unit vector. Then

Ax, xr ≤ Arx, x ∀r≥1. 2.2

The third lemma concerned with positive real numbers, and it is a consequence of the convexity of the functionft tr,r ≥1.

Lemma 2.3. Letaibe a positive real numberi1,2, . . . , n.Then n

i1

ai r

nr−1 n

i1

arir ≥1. 2.3

The fourth lemma is a norm inequality for the sum of two operators, which can be found in14.

Lemma 2.4. IfAandBare positive operators inBH, then AB ≤max

A,B

A1/2B1/2. 2.4

Another important usual operator norm inequality which will be used in this section says that for any positive operatorsA,BBHwe havesee11

ArBr ≤ ABr ∀0≤r≤1. 2.5

Our main result of this paper, which leads to a generalization of1.6,1.7,1.8, and 1.9, can be stated as follows.

Theorem 2.5. Let Ai,Bi,XiBH i 1,2, . . . , n, and letfandg be nonnegative functions on 0,∞which are continuous and satisfy the relationftgt tfor allt∈0,∞. Then

wr n

i1

AiXiBi

nr−1 2

n i1

Aig2XiAir

Bif2XiBir

2.6 for allr1.

(5)

Proof. For every unit vectorxH, we have

n

i1

AiXiBi

x, x

r

n i1

AiXiBix, x

r

n

i1

AiXiBix, xr

n

i1

XiBix, Aixr

n

i1

f2XiBix, Bix1/2

g2XiAix, Aix1/2r

by2.1

nr−1 n

i1

Bif2XiBix, xr/2

Aig2XiAix, xr/2

by2.3

nr−1 n

i1

Bif2XiBir

x, x1/2

Aig2XiAir

x, x1/2

by2.2

nr−1 2

n i1

Bif2XiBir

x, x

Aig2XiAir

x, x

by the arithmetic-geometric mean inequality nr−1

2 n

i1

Bif2XiBir

Aig2XiAir x, x

.

2.7

Now the result follows by taking the supremum over all unit vectors inH.

Inequality 2.6 includes several numerical radius inequalities as special cases.

Samples of inequalities are demonstrated in what follows.

For ft tα and gt t1−α, α ∈ 0,1, in inequality2.6, we get the following inequality that generalizes1.9.

Corollary 2.6. LetAi,Bi,XiBH i1,2, . . . , n,r1, and 0< α <1. Then

wr n

i1

AiXiBi

nr−1 2

n i1

AiXi21−αAir

BiXiBir

. 2.8 In particular,

w n

i1

AiXiBi

≤ 1 2

n i1

AiXiAiBiXiBi

. 2.9

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ForAi Bi I i 1,2, . . . , n in inequality2.6, we get the following numerical radius inequalities for sums of operators that generalizes1.8.

Corollary 2.7. LetXiBH i1,2, . . . , n, and letfandgbe as inLemma 2.1. Then

wr n

i1

Xi

nr−1 2

n i1

f2rXig2rXi

r≥1. 2.10 In particular,

wr n

i1

Xi

nr−1 2

n i1

Xi2rαXi2r1−α

α∈0,1. 2.11 It should be mentioned here that the inequality in2.11generalizes1.7in the case X1 X2· · ·Xn.

Remark 2.8. The caseα1/2 in2.11gives

wr n

i1

Xi

nr−1 2

n i1

|Xi|rXir

r ≥1, 2.12 which generalizes the second inequality in 1.6, while the choice n 1 will give a generalization of the first inequality in1.5and can be stated as

wrX≤ 1 2

|X|rXrr ≥1. 2.13

Note that using2.4and2.5, a related inequality can be derived from2.13. Indeed,

wrX≤ 1 2

|X|rXr

≤ 1 2

max|X|r,Xr

|X|r/2Xr/2 1

2

Xr |X|rXr1/2 .

2.14

The above inequality generalizes the second inequality in1.5. In fact, for 1≤r ≤2, we have

wrX≤ 1 2

Xr|X|r/2Xr/2

≤ 1 2

Xr|X|Xr/2

1 2

XrX2r/2 .

2.15

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The last equality can be proved using the polar decomposition. In fact, ifXU|X|andX V|X|are the polar decompositions ofXandX, respectively, then|X||X|UXXV X2.

It is known that wABwA wB. However, the numerical radius is not submultiplicative, even for commuting operators. On the other hand, we have the power inequality, which asserts that ifABH, then

wAnwnA forn1,2, . . .. 2.16

It is evident from the first inequality in1.4that ifA, BBH, then

wAB≤4wAwB. 2.17

Moreover, ifABBA, then

wAB≤2wAwB. 2.18

These inequalities, among other related ones, can be found in2.

ForXi I i 1,2, . . . , nin inequality2.6, we get the following numerical radius inequalities for products of operators that are related to the above inequalities.

Corollary 2.9. LetAi,BiBH i1,2, . . . , nandr1. Then

wr n

i1

AiBi

nr−1 2

n i1

Ai2rBi2r

. 2.19 In particular,

w n

i1

AiBi

≤ 1 2

n i1

AiAiBiBi

. 2.20

Remark 2.10. The casen1 in2.19, provides the following inequality

wrAB≤ 1

2AAr

BBr, 2.21

which is a numerical radius inequality for the product of operators and is related to the arithmetic-geometric mean inequality for operators. Note that a more general inequality can be obtained by lettingα1/2 andn1 in2.8. In fact, we have

wr AXB

≤ 1

2A|X|Ar

B|X|Br. 2.22

(8)

Forr1 in2.22, we obtain the inequality

w AXB

≤ 1

2AXAB|X|B 2.23

as well as

w AXB

≤ 1

2AAXXBB 2.24

which follows from the the arithmetic-geometric mean inequality for operatorssee15.

Inequalities2.23and2.24are not equivalent. This can be seen from the exampleA 1 00 0, XI,B 0 10 0.

The inequality in2.22can be used to give an upper bound for the numerical radius ofA2andA3. In fact, we have

wrA2≤ 1

2AAr AAr, 2.25

wrA3≤ 1

2A|A|AA|A|A. 2.26

The commutator ofAandBis the operatorABBA. Commutators play an important role in operator theory. It follows by the triangle inequality that ifA, BBH, thenAB− BA ≤2AB.

Forn 2 in inequality2.6, we get the following numerical radius inequalities that generalize1.9, and give an estimate for the numerical radius of commutators.

Corollary 2.11. LetA, B, C, D, S, TBH, and letfandgbe as inTheorem 2.5. Then

wrATBCSD

≤2r−2

Ag2TAr

Bf2

|T|

Br

Cg2SCr

Df2

|S|

Dr

2.27

forr1. In particular,

wrATBCSD≤2r−2

ATAr

B|T|Br

CSCr

D|S|Dr. 2.28

We end this section by the following remark.

Remark 2.12. Inequality 2.28 gives a numerical radius inequality for commutators of operators that generalizes1.10. IfDA,CB, andS±T X, then

wrAXB±BXA≤2r−2

AXAr

A|X|Ar

B|X|Br

BXBr. 2.29

(9)

In particular,

wrAB±BA≤2r−2|A|2rA2r|B|2rB2r. 2.30 In fact, by lettingB Ain2.29and2.30, respectively, we get the following inequalities for the generalized commutator and the self commutator

wr

AXA±AXA

≤2r−1

A|X|Ar

A|X|Ar, 2.31 wr

AA±AA

≤2r−1|A|2rA2r. 2.32

3. A General Norm Inequality

In this section, we introduce a general norm inequality for Hilbert space operators, from which new inequalities for operators and generalizations of earlier results can be derived. The proof of this general inequality is similar to that ofTheorem 2.5under slight modification.

Theorem 3.1. LetAi,Bi,XiBH i1,2, . . . , n, and letfandgbe as inTheorem 2.5. Then

n i1

AiXiBi

r

nr−1 2

n i1

Aig2XiAr

n i1

Bif2XiBir

3.1

forr ≥1.

Inequality 3.1 yields several norm inequalities as special cases. Samples of these inequalities are demonstrated below.

Corollary 3.2. LetAi,Bi,XiBH i1,2, . . . , n,r1, andα∈0,1. Then

n i1

AiXiBi

r

nr−1 2

n i1

AiXi21−αAr

n i1

BiXiBi

r

. 3.2

In particular,

AXBr ≤ 1 2

AXArB|X|Br. 3.3

For Ai Bi I i 1,2, . . . , nin inequality 3.2, we get the following operator inequalities for sums of operators.

Corollary 3.3. LetXiBH i1,2, . . . , n,r1, andα∈0,1. Then

n i1

Xi

r

nr−1 2

n i1

Xi2αr

n i1

Xi21−αr

. 3.4

(10)

In particular, ifXiis normali1,2, . . . , n, then

n i1

Xi

r

nr−1

n i1

Xir

. 3.5

Remark 3.4. The inequality 3.5 is a generalized form of 1.11. The normality of Xi is necessary, this inequality is not true for arbitrary operatorsXi, as may be seen forn2, X1 0 10 0andX2 1 00 0.

ForXi I i1,2, . . . , nin inequality3.2, we get norm inequalities for products of operators.

Corollary 3.5. LetAi, BiBH i1,2, . . . , nandr1. Then

n i1

AiBi

r

nr−1 2

n i1

Ai2r

n i1

Bi2r

. 3.6

In particular,

n i1

AiBi ≤ 1

2

n i1

AiAi

n i1

BiBi

. 3.7

For n 2 in inequality 3.2, we get the following norm inequalities that give an estimate for the usual norm of commutators.

Corollary 3.6. LetA, B, C, D, S, TBH, and let r1. Then ATBCSDr ≤2r−2ATAr

CSCrB|T|Br

D|S|Dr. 3.8

Finally, we end this paper by the following remark.

Remark 3.7. Inequality3.8gives a norm inequality for commutators of operators. IfDA, CB, andT ±SX, then we get

AXB±BXAr ≤2r−2A|X|Ar

B|X|BrB|X|Br

A|X|Ar. 3.9

In particular,

AB±BAr ≤2r−2|A|2r A2r|B|2rB2r. 3.10 In fact, by lettingBAin3.10, we get the following inequality for self commutator

AA±AAr ≤2r−1A2rA2r. 3.11

(11)

Moreover a related inequality to3.11can be derived from1.12and1.13. Indeed,

AAr

AAr

AAAAr≤2r−1

AAr

AAr. 3.12

Acknowledgment

The authors thank the anonymous referee for his valuable comments and suggestions for improving this paper.

References

1 U. Haagerup and P. de la Harpe, “The numerical radius of a nilpotent operator on a Hilbert space,”

Proceedings of the American Mathematical Society, vol. 115, no. 2, pp. 371–379, 1992.

2 K. E. Gustafson and D. K. M. Rao, Numerical Range: The Field of Values of Linear Operators and Matrices, Universitext, Springer, New York, NY, USA, 1997.

3 X. Zhan, Matrix Inequalities, vol. 1790 of Lecture Notes in Mathematics, Springer, Berlin, Germany, 2002.

4 R. A. Horn and C. R. Johnson, Topics in Matrix Analysis, Cambridge University Press, Cambridge, UK, 1991.

5 F. Kittaneh, “A numerical radius inequality and an estimate for the numerical radius of the Frobenius companion matrix,” Studia Mathematica, vol. 158, no. 1, pp. 11–17, 2003.

6 F. Kittaneh, “Numerical radius inequalities for Hilbert space operators,” Studia Mathematica, vol. 168, no. 1, pp. 73–80, 2005.

7 F. Kittaneh, “Bounds for the zeros of polynomials from matrix inequalities,” Archiv der Mathematik, vol. 81, no. 5, pp. 601–608, 2003.

8 M. El-Haddad and F. Kittaneh, “Numerical radius inequalities for Hilbert space operators. II,” Studia Mathematica, vol. 182, no. 2, pp. 133–140, 2007.

9 S. S. Dragomir, “Some inequalities for the Euclidean operator radius of two operators in Hilbert spaces,” Linear Algebra and Its Applications, vol. 419, no. 1, pp. 256–264, 2006.

10 S. S. Dragomir and M. S. Moslehian, “Some inequalities forα, β-normal operators in Hilbert spaces,”

Facta Universitatis. Series: Mathematics and Informatics, vol. 23, pp. 39–47, 2008.

11 R. Bhatia, Matrix Analysis, vol. 169 of Graduate Texts in Mathematics, Springer, Berlin, Germany, 1997.

12 K. Shebrawi and H. Albadawi, “Operator norm inequalities of Minkowski type,” Journal of Inequalities in Pure and Applied Mathematics, vol. 9, no. 1, article 26, pp. 1–10, 2008.

13 F. Kittaneh, “Notes on some inequalities for Hilbert space operators,” Publications of the Research Institute for Mathematical Sciences, vol. 24, no. 2, pp. 283–293, 1988.

14 F. Kittaneh, “Norm inequalities for certain operator sums,” Journal of Functional Analysis, vol. 143, no.

2, pp. 337–348, 1997.

15 F. Kittaneh, “A note on the arithmetic-geometric-mean inequality for matrices,” Linear Algebra and Its Applications, vol. 171, pp. 1–8, 1992.

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