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Article

Some Generalized Euclidean Operator Radius Inequalities

by
Mohammad W. Alomari
1,
Khalid Shebrawi
2 and
Christophe Chesneau
3,*
1
Department of Mathematics, Faculty of Science and Information Technology, Irbid National University, P.O. Box 2600, Irbid 21110, Jordan
2
Department of Mathematics, Al-Balqa Applied University, Salt 19117, Jordan
3
Department of Mathematics, Université de Caen Basse-Normandie, F-14032 Caen, France
*
Author to whom correspondence should be addressed.
Axioms 2022, 11(6), 285; https://doi.org/10.3390/axioms11060285
Submission received: 22 May 2022 / Revised: 8 June 2022 / Accepted: 10 June 2022 / Published: 13 June 2022
(This article belongs to the Special Issue Current Research on Mathematical Inequalities)

Abstract

:
In this work, some generalized Euclidean operator radius inequalities are established. Refinements of some well-known results are provided. Among others, some bounds in terms of the Cartesian decomposition of a given Hilbert space operator are proven.
MSC:
47A12; 47B15; 47A30; 47A63

1. Introduction

In recent decades, the field of values has become increasingly important in numerical analysis, particularly in numerical linear algebra issues requiring matrices and iterative approaches for solving large systems of linear equations. One must deal with increasing-dimensional matrices in such cases. For example, matrices may result from the discretization of differential or integral operations, and their dimension approaches infinity as the discretization is refined; in other circumstances, the discretization is fixed but the computing domain grows without bounds. In numerical linear algebra, analyzing the behavior of techniques for approximating functions of such matrices as their size grows is critical. Indeed, the spectral theorem for normal matrices (or bounded operators) allows one to convert the approximation problem for matrices into a problem for functions of a real (or complex) variable and apply classical approximation theory results.
On the other hand, the quadratic forms and their applications are used in many branches of mathematics and physical sciences. Most researchers in this area of mathematics have studied many types of quadratic forms, such as the numerical range and its radius. In recent years, the concept of the generalized Euclidean operator radius has attracted the serious attention of many researchers. In fact, this type of radius generalizes the classical numerical radius but for multivariable Hilbert space operators and their extensions to infinite dimensions; which is indeed considered one of the most recent concepts in the field of values studied in literature.
This work provides some new theoretical developments in this direction. To highlight the significance of these developments, some mathematical background and current state of the art on the Euclidean operator radius and related inequalities must be presented. Below are the essentials.
Let B H be the Banach algebra of all bounded linear operators defined on a complex Hilbert space H ; · , · with the identity operator 1 H in B H .
For a bounded linear operator S on a Hilbert space H , the numerical range W S is the image of the unit sphere of H under the quadratic form z S z , z associated with the operator. More precisely,
W S = S z , z : z H , z = 1 .
Moreover, the numerical radius is defined by
ω S = sup λ : λ W S = sup z = 1 S z , z .
We recall that the usual operator norm of an operator S is
S = sup S z : z H , z = 1 .
It is well known that ω · defines an operator norm on B H which is equivalent to the operator norm · . Moreover, we have
1 2 S ω S S
for any S B H and this inequality is sharp.
Denote | S | = S * S 1 2 the absolute value of the operator S. Then, we have
ω | S | = S .
It is well known that ω · defines an operator norm on B H which is equivalent to the operator norm · . Moreover, we have
1 2 S ω S S
for any S B H and this inequality is sharp.
In 2003, Kittaneh [1] refined the right-hand side of (2); he proved that
ω S 1 2 S + S 2 1 2
for any S B H .
After that, in 2005, the same author in [2] proved that
1 4 S * S + S S * ω 2 S 1 2 S * S + S S * .
The inequality is sharp. For recent further inequalities regarding (4) and other related results, the reader may refer to [3,4,5,6,7,8,9,10,11,12].
In 2009, Popsecu [13] introduced the concept of Euclidean operator radius of an n-tuple S = S 1 , , S n B H n : = B H × × B H . Namely, for S 1 , , S n B H , the Euclidean operator radius of S 1 , , S n is defined by
ω e S 1 , , S n : = sup z = 1 i = 1 n S i z , z 2 1 2 .
The Euclidean operator radius was generalized in [9] as follows:
ω p S 1 , , S n : = sup z = 1 i = 1 n S i z , z p 1 p , p 1 .
In [14] Moslehian, Sattari and Shebrawi proved several inequalities regarding n-tuples operators. Among others they proved the following two results
w p S 1 , , S n 1 2 i = 1 n S i 2 α + S i * 2 1 α p 1 p
and
w p S 1 , , S n i = 1 n α S i p + 1 α S i * p 1 p
for α 0 , 1 and p 1 .
In [15], Sheikhhosseini, Moslehian and Shebrawi refined the above two inequalities by proving that
w p S 1 , , S n 1 2 i = 1 n S i 2 α + S i * 2 1 α p 1 p inf x = 1 ξ x ,
where
ξ x = 1 2 i = 1 n S i 2 α p x , x 1 2 S i * 2 1 α p x , x 1 2 2
and
w p p S 1 , , S n i = 1 n α S i p m + 1 α S i * p m m inf x = 1 ξ x ,
where
ξ x = min α , 1 α i = 1 n S i p m x , x m 2 S i * p m x , x m 2 2 .
For further properties of the Euclidean operator radius combined with several basic properties, the reader may refer to [13,14,15,16].
In this work, we prove several new inequalities for the generalized Euclidean operator radius. Among others, some bounds in terms of Cartesian decomposition of a given Hilbert space operator are proven. More precisely, Section 2 is devoted to inequalities for the generalized Euclidean operator radius which gives an equivalent version of the inequalities (5)–(8), and Section 3 is focused on diverse upper and lower bounds for quantities involving this radius; and this gives an extension of [6] (Theorem 5) and [15] (Theorem 4.1). The paper is concluded in Section 4.

2. Inequalities for the Generalized Euclidean Operator Radius

In order to prove our main results, we need the following sequence of lemmas.
Lemma 1
([17]). Let C B H . If k and ℓ are nonnegative continuous functions on 0 , satisfying k ( t ) ( t ) = t ( t 0 ) , then we have
C z , y k C z C * y
for any vectors z , y H .
Lemma 2
([3]). Let C B H with the Cartesian decomposition C = G + i F . If k and ℓ are nonnegative continuous functions on 0 , satisfying k ( t ) ( t ) = t   ( t 0 ) , then we have
C z , y k G z G y + k F z F y
for all z , y H .
Lemma 3.
Let S B H , S 0 and z H be a unit vector. Then, the operator Jensen inequalities are given by
S z , z r S r z , z , r 1
and
S z , z r S r z , z , 0 r 1 .
Lemma 4
([7]). Let c , d 0 , and p , q > 1 such that 1 p + 1 q = 1 . Then, we have
c d + min 1 p , 1 q ( c p 2 d q 2 ) 2 c p p + d q q .
Lemma 5
([18]). If c , d > 0 , and p , q > 1 such that 1 p + 1 q = 1 , then, for m = 1 , 2 , 3 , ,
c 1 p d 1 q m + r 0 m c m 2 d m 2 2 c r p + d r q m r , r 1 ,
where r 0 = min 1 p , 1 q . In particular, if p = q = 2 , we obtain
c 1 2 d 1 2 m + 1 2 m c m 2 d m 2 2 2 m r c r + d r m r .
Lemma 6.
For c , d > 0 , 0 α 1 . Let
M r c , d , α : = α c r + 1 α d r 1 r , r 1 c α d 1 α , r = 0 .
Then, for all r s , we have
M r c , d , α M s c , d , α .
We are in a position to state our first main result which combines (5) and (6).
Theorem 1.
Let C j B H ( 1 j n ) . Then, we have
ω p p C 1 , , C n 1 2 j = 1 n α C j 2 r β + 1 α C j * 2 r 1 β p r + α C j 2 r 1 β + 1 α C j * 2 r β p r
for all α , β 0 , 1 and p r 1 such that r β 1 .
Proof. 
Let y = z in (9), we get
j = 1 n C j z , z p j = 1 n C j 2 α z , z p 2 C j * 2 1 α z , z p 2 1 2 p j = 1 n C j 2 α z , z β C j * 2 1 α z , z 1 β since c d c γ d 1 γ + c 1 γ d γ 2 + C j 2 α z , z 1 β C j * 2 1 α z , z β p 1 2 p j = 1 n C j 2 z , z β α C j * 2 z , z 1 β 1 α ( by ( 12 ) ) + C j 2 z , z α 1 β C j * 2 1 α z , z 1 α β p 1 2 p j = 1 n α C j 2 z , z β + 1 α C j * 2 z , z 1 β ( by the AM - GM inequality ) + α C j 2 z , z 1 β + 1 α C j * 2 z , z β p 1 2 p j = 1 n α C j 2 z , z r β + 1 α C j * 2 z , z r 1 β 1 r ( by ( 16 ) ) + α C j 2 z , z r 1 β + 1 α C j * 2 z , z r β 1 r p 1 2 p j = 1 n α C j 2 r β z , z + 1 α C j * 2 r 1 β z , z 1 r ( by ( 11 ) ) + α C j 2 r 1 β z , z + 1 α C j * 2 r β z , z 1 r p = 1 2 p j = 1 n α C j 2 r β + 1 α C j * 2 r 1 β z , z 1 r + α C j 2 r 1 β + 1 α C j * 2 r β z , z 1 r p
1 2 j = 1 n α C j 2 r β + 1 α C j * 2 r 1 β z , z p r since c + d 2 p c p + d p 2 + α C j 2 r 1 β + 1 α C j * 2 r β z , z p r 1 2 j = 1 n α C j 2 r β + 1 α C j * 2 r 1 β p r z , z ( by ( 11 ) ) + α C j 2 r 1 β + 1 α C j * 2 r β p r z , z = 1 2 j = 1 n α C j 2 r β + 1 α C j * 2 r 1 β p r z , z + j = 1 n α C j 2 r 1 β + 1 α C j * 2 r β p r z , z .
Taking the supremum over all unit vectors z H , we obtain the desired result. □
Corollary 1.
Let C j B H ( 1 j n ) . Then, we have
ω p p C 1 , , C n j = 1 n α C j r + 1 α C j * r p r
for all α , β 0 , 1 and p r 2 .
In particular, we have
ω p p C 1 , , C n 1 2 p r j = 1 n C j r + C j * r p r .
Proof. 
The proof follows by setting β = 1 2 in (17). □
Remark 1.
Setting r = 2 , then | C j | 2 + | C j * | 2 = C j * C j + C j C j * , so that the inequality (19) becomes
ω p C 1 , , C n 1 2 j = 1 n C j * C j + C j C j * p 2 1 p
for all p 2 . In particular, in case we choose p = 2 , we obtain
ω e C 1 , , C n 1 2 j = 1 n C j * C j + C j C j * 1 2 ,
which is the multivariable version of the right-hand side of Kittaneh inequality (4).
Example 1.
Let C 1 = 0 2 1 0 and C 2 = 0 0 2 0 be 2 × 2 -matrices. Employing (20) with n = 2 , α = 1 2 and p = 2 , we obtain
ω e 2 C 1 , C 2 = sup z = 1 C 1 z , z 2 + C 2 z , z 2 = 4 ,
i.e., ω e C 1 , C 2 = 2 . However,
2 = ω e C 1 , C 2 1 2 j = 1 n C j * C j + C j C j * 1 2 = 2.1213 ,
which verifies (20).
Our next goal is to generalize the inequality (4).
Theorem 2.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
1 2 p n p 1 j = 1 n G j + F j 2 p 1 2 p j = 1 n G j + F j 2 p ω 2 p 2 p C 1 , , C n 2 p 1 j = 1 n G j 2 p + F j 2 p
for all p 1 .
Proof. 
We start by proving the left-side inequality. We have
j = 1 n C j z , z 2 p = j = 1 n G j z , z 2 + F j z , z 2 p j = 1 n 1 2 G j z , z + F j z , z 2 p 1 2 p j = 1 n G j z , z + F j z , z 2 p = 1 2 p j = 1 n G j + F j z , z 2 p 1 2 p n p 1 j = 1 n G j + F j z , z 2 p . ( Jensen s inequality )
Taking the supremum over all unit vectors z H , we obtain the left hand side of (21).
To prove the right-hand side of (21), we have
j = 1 n C j z , z 2 2 p 1 p = j = 1 n G j z , z 2 + F j z , z 2 2 p 1 p j = 1 n G j z , z 2 p + F j z , z 2 p 2 1 p 2 1 p j = 1 n G j z , z 2 p + F j z , z 2 p 1 p 2 1 p j = 1 n G j 2 p z , z + F j 2 p z , z 1 p = 2 1 p j = 1 n G j 2 p + F j 2 p z , z 1 p = 2 1 p j = 1 n G j 2 p + F j 2 p z , z 1 p .
Taking the supremum over all unit vectors z H we obtain the right-hand side of (21), and thus the proof of Theorem 2 is completely finished. □
Example 2.
Let C 1 = 0 2 1 0 and C 2 = 0 0 2 0 be 2 × 2 -matrices. Then it is easy to observe that
C 1 = G 1 + i F 1 = 0 3 2 3 2 0 + i 0 i 2 i 2 0 ,
and
C 2 = G 2 + i F 2 = 0 1 1 0 + i 0 i i 0 .
Employing (21) with n = 2 and p = 1 , we obtain
1 2 j = 1 2 G j + F j 2 = 1 2 G 1 + F 1 2 + G 2 + F 2 2 = 1 2 5 2 0 0 5 2 + 2 0 0 2 = 2.25 ,
and
ω e 2 C 1 , C 2 = sup z = 1 C 1 z , z 2 + C 2 z , z 2 = 4
while
j = 1 2 G j 2 + F j 2 = G 1 2 + F 1 2 + G 2 2 + F 2 2 = 9 4 0 0 9 4 + 1 4 0 0 1 4 + 1 0 0 1 + 1 0 0 1 = 18 4 0 0 18 4 = 4.5 ,
which verifies that
2.25 : = 1 2 j = 1 2 G j + F j 2 ω e 2 C 1 , C 2 = 4 j = 1 2 G j 2 + F j 2 : = 4.5 .
Corollary 2.
Let C B H . Assume C = G + i F be the Cartesian decomposition of C. Then, we have
1 2 p G + F 2 p ω 2 p C 2 p 1 G 2 p + F 2 p
for all p 1 . In particular, we have
1 2 G + F 2 ω 2 C G 2 + F 2 .
Proof. 
Choosing n = 1 in (21) and set C 1 = C , G 1 = G and F 1 = F , this yields that ω 2 p 2 p C 1 , , C n = ω 2 C . The particular case holds with n = 1 and p = 1 . □
Example 3.
As in Example 2, let C = G + i F . Then, by employing (22) we obtain
1.25 = 1 2 G + F 2 ω 2 C = 2.25 G 2 + F 2 = 2.5 .
Our next result can be stated as follows:
Theorem 3.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
ω p r p C 1 , , C n 1 2 j = 1 n k 2 G j + k 2 F j p r + 2 G j + 2 F j p r
for all r 1 and p 2 .
Proof. 
Setting y = z in (10). Let p , q > 1 such that 1 p + 1 q = 1 . Then, we have
C z , z k G z G z + k F z F z k G z p + k F z p 1 p × G z q + F z q 1 q ( by the H ö lder inequality ) k 2 G z , z p 2 + k 2 F z , z p 2 1 p × 2 G z , z q / 2 + 2 F z , z q / 2 1 q k p G z , z + k p F z , z 1 p × q G z , z + q F z , z 1 q ( by ( 11 ) ) k p G + k p F z , z 1 p q G + q F z , z 1 q
In particular, for p = q = 2 , we have
C z , z k 2 G + k 2 F z , z 1 2 2 G + 2 F z , z 1 2 .
Applying (25) for p 2 , we obtain
j = 1 n C j z , z p j = 1 n k 2 G j + k 2 F j z , z p 2 2 G j + 2 F j z , z p 2 j = 1 n k 2 G j + k 2 F j p z , z 1 2 2 G j + 2 F j p z , z 1 2 ( by ( 11 ) ) 1 2 1 r j = 1 n k 2 G j + k 2 F j p z , z r + 2 G j + 2 F j p z , z r 1 r ( by Lemma 6 ) 1 2 1 r j = 1 n k 2 G j + k 2 F j p r z , z + 2 G j + 2 F j p r z , z 1 r ( by ( 11 ) ) = 1 2 j = 1 n k 2 G j + k 2 F j p r + 2 G j + 2 F j p r z , z 1 r .
Taking the supremum over all unit vectors z H , we obtain the desired result. □
Corollary 3.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
ω p r p C 1 , , C n 1 2 j = 1 n G j 2 α + F j 2 α p r + G j 2 1 α + F j 2 1 α p r
for all r 1 , p 2 and α [ 0 , 1 ] .
Proof. 
The desired result follows by setting k ( t ) = t α and ( t ) = t 1 α ( 0 α 1 ) in Theorem 3. □
Corollary 4.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
ω p p C 1 , , C n j = 1 n G j + F j p
for all p 1 .
Proof. 
Setting r = 1 an α = 1 2 in (26), we obtain the desired result. □
Example 4.
Consider C 1 = G 1 + i F 1 and C 2 = G 2 + i F 2 as given in Example 2. Then, by employing (27) with p = 2 , we obtain
4 = ω e 2 C 1 , C 2 G 1 + F 1 2 + G 2 + F 2 2 = 8 ,
or it is more appropriate to write
2 = ω e C 1 , C 2 G 1 + F 1 2 + G 2 + F 2 2 = 2.8284 .

3. Upper and Lower Bounds for the Generalized Euclidean Operator Radius

In this section, we provide some upper and lower bounds for quantities involving the generalized Euclidean operator radius. Let us start, with the following result.
Theorem 4.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . If k and ℓ are nonnegative continuous functions on 0 , satisfying k ( t ) ( t ) = t   ( t 0 ) , then
1 n 2 r 1 i = 1 n C i 2 r ω p k 2 G 1 + k 2 F 1 r , , k 2 G n + k 2 F n r × ω q 2 G 1 + 2 F 1 r , , 2 G n + 2 F n r 1 p i = 1 n k 2 G i + k 2 F i r p + 1 q i = 1 n 2 G i + 2 F i r q inf z = y = 1 Φ z , y ,
for all r 1 , p , q > 1 such that 1 p + 1 q = 1 , where
Φ z , y : = min 1 p , 1 q i = 1 n k 2 G i + k 2 F i z , z i = 1 n 2 G i + 2 F i y , y 2 .
Proof. 
Let z , y H . Applying inequality (10) and the convexity of t 2 r , we have
1 n 2 r 1 i = 1 n C i z , y 2 r i = 1 n C i z , y 2 r i = 1 n k 2 G i + k 2 F i z , z r 2 G i + 2 F i y , y r i = 1 n k 2 G i + k 2 F i r z , z 2 G i + 2 F i r y , y ( by ( 11 ) ) i = 1 n k 2 G i + k 2 F i r z , z p 1 p i = 1 n 2 G i + 2 F i r y , y q 1 q ( by the H ö lder inequality ) 1 p i = 1 n k 2 G i + k 2 F i r z , z p + 1 q i = 1 n 2 G i + 2 F i r y , y q ( by ( 14 ) ) min 1 p , 1 q i = 1 n k 2 G i + k 2 F i z , z i = 1 n 2 G i + 2 F i y , y 2 1 p i = 1 n k 2 G i + k 2 F i r p z , z + 1 q i = 1 n 2 G i + 2 F i r q y , y ( by ( 11 ) ) min 1 p , 1 q i = 1 n k 2 G i + k 2 F i z , z i = 1 n 2 G i + 2 F i y , y 2
Taking the supremum over all unit vectors z , y H , we obtain the desired result. which proves the required result. □
Corollary 5.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
1 n 2 r 1 i = 1 n C i 2 r ω p G 1 2 α + F 1 2 α r , , G n 2 α + F n 2 α r × ω q G 1 2 1 α + F 1 2 1 α r , , G n 2 1 α + F n 2 1 α r max 1 p , 1 q i = 1 n G i 2 α + F i 2 α r p + i = 1 n G i 2 1 α + F i 2 1 α r q inf z = y = 1 Ψ p , q , α z , y ,
for all r 1 , p , q > 1 such that 1 p + 1 q = 1 , where
Ψ p , q , α z , y : = min 1 p , 1 q i = 1 n G i 2 α + F i 2 α z , z i = 1 n G i 2 1 α + F i 2 1 α y , y 2 .
Proof. 
Setting k ( t ) = t α and ( t ) = t 1 α ( 0 α 1 ) in (28) yields the desired result. □
Corollary 6.
Let C j B H ( j = 1 , , n ) . Assume C j = G j + i F j be the Cartesian decomposition of C j for all j = 1 , , n . Then, we have
1 n 2 r 1 i = 1 n C i 2 r ω p G 1 + F 1 r , , G n + F n r × ω q G 1 + F 1 r , , G n + F n r max 1 p , 1 q i = 1 n G i + F i r p + i = 1 n G i + F i r q inf z = y = 1 Ψ p , q , 1 2 z , y ,
for all r 1 , p , q > 1 such that 1 p + 1 q = 1 , where
Ψ p , q , 1 2 z , y : = min 1 p , 1 q i = 1 n G i + F i z , z i = 1 n G i + F i y , y 2 .
Proof. 
Setting α = 1 2 in (29) yields the stated result. □
Remark 2.
Setting r = 1 and p = q = 2 in Corollary 6, we obtain
1 n i = 1 n C i 2 ω 2 2 G 1 + F 1 , , G n + F n i = 1 n G i + F i 2 inf z = y = 1 Ψ 1 , 2 , 2 , 1 2 z , y ,
where
Ψ 1 , 2 , 2 , 1 2 z , y : = 1 2 i = 1 n G i + F i z , z i = 1 n G i + F i y , y 2 .
Example 5.
Consider C 1 = G 1 + i F 1 and C 2 = G 2 + i F 2 as given in Example 2. Therefore, by employing (31) with r = 1 and p = q = 2 , then we have
1 2 C 1 + C 2 2 = 4.5 ,
ω 2 2 G 1 + F 1 , G 2 + F 2 = sup z = 1 G 1 + F 1 z , z 2 + G 2 + F 2 z , z 2 = 8 ,
and
G 1 + F 1 2 + G 2 + F 2 2 = 8 ,
with
inf z = y = 1 Ψ 1 , 2 , 2 , 1 2 z , y = 0 .
This gives that
4.5 = 1 2 C 1 + C 2 2 ω 2 2 G 1 + F 1 , G 2 + F 2 = 8 G 1 + F 1 2 + G 2 + F 2 2 inf z = y = 1 Ψ 1 , 2 , 2 , 1 2 z , y = 8 ,
or we may write
2.1213 = 1 2 C 1 + C 2 ω e C 1 , C 2 = 2.8284 G 1 + F 1 2 + G 2 + F 2 2 inf z = y = 1 Ψ 1 , 2 , 2 , 1 2 z , y = 2.8284 .
In 2007, El-Hadad and Kittaneh in [6] proved the corresponding version of the Kittaned inequality (4) in terms of the Cartesian decomposition. Indeed, they proved
2 r 2 1 G + F r + G F r ω r C 1 2 G + F r + G F r
for all r 2 , where F , G are the Cartesian decomposition of C.
In the next result, we generalize (32) in terms of the generalized Euclidean operator radius.
Theorem 5.
Let S j = G j + i F j B ( H ) be the Cartesian decomposition of S j ( 1 j n ) . Then
2 p 2 n p 1 j = 1 n G j + F j p ω p p ( S 1 , , S n ) 1 2 j = 1 n G j + F j p + G j F j p
for all p 2 .
Proof. 
Let z be a unit vector in H . Then, the right-hand side inequality could be obtained as follows:
ω p p ( S 1 , , S n ) = sup z = 1 j = 1 n S j z , z p = sup z = 1 j = 1 n G j z , z 2 + F j z , z 2 p 2 j = 1 n sup z = 1 G j z , z 2 + F j z , z 2 p 2 by properties of sup = 2 p / 2 j = 1 n sup z = 1 G j + F j z , z 2 + G j F j z , z 2 p 2 2 p / 2 + p / 2 1 j = 1 n sup z = 1 G j + F j z , z p + G j F j z , z p by convexity of t p 2 1 2 j = 1 n sup z = 1 G j + F j z , z p + G j F j z , z p since G j , F j are selfadjoint 1 2 j = 1 n sup z = 1 G j + F j p z , z + G j F j p z , z by McCarthy inequality = 1 2 j = 1 n sup z = 1 G j + F j p + G j F j p z , z = 1 2 j = 1 n G j + F j p + G j F j p ,
which proves the right-hand side of (33). To prove the left-hand side, since we have
ω p p ( S 1 , , S n ) = sup z = 1 j = 1 n S j z , z 2 p 2 = sup z = 1 j = 1 n G j z , z 2 + F j z , z 2 p 2 2 p 2 sup z = 1 j = 1 n G j z , z + F j z , z p since c 2 + d 2 2 c + d 2 2 2 p 2 n p 1 sup z = 1 j = 1 n G j + F j z , z p , ( by Jensen s inequality )
which proves the left-hand side inequality of (33). Hence, the proof is established. □
Example 6.
Let S 1 = C 1 and S 2 = C 2 as given in Example 2. Employing (33) with n = 2 and p = 2 , we obtain
1 4 j = 1 2 G j + F j 2 = 1 4 G 1 + F 1 + G 2 + F 2 2 = 2.24303 ,
and
ω e 2 S 1 , S 2 = sup z = 1 S 1 z , z 2 + S 2 z , z 2 = 4
while
1 2 j = 1 2 G j + F j 2 + G j F j 2 = 1 2 G 1 + F 1 2 + G 1 F 1 2 + G 2 + F 2 2 + G 2 F 2 2 = 4.5 ,
which verifies that
2.24303 : = 1 4 j = 1 2 G j + F j 2 ω e 2 S 1 , S 2 = 4 1 2 j = 1 2 G j + F j 2 + G j F j 2 : = 4.5 .

4. Conclusions

In this work, we proved several new inequalities for the generalized Euclidean operator radius. Among others, some bounds in terms of Cartesian decomposition of a given Hilbert space operator were established. More precisely, Section 2 was devoted to inequalities for the generalized Euclidean operator radius which gives an equivalent version of the inequalities (5)–(8), and Section 3 was focused on diverse upper and lower bounds for quantities involving this radius; and this gives an extension of [6] (Theorem 5) and [15] (Theorem 4.1).

Author Contributions

Conceptualization, M.W.A. and K.S.; methodology, M.W.A., K.S. and C.C.; validation, M.W.A., K.S. and C.C.; formal analysis, M.W.A. and K.S.; investigation, M.W.A., K.S. and C.C.; writing—original draft preparation, M.W.A. and K.S.; writing—review and editing, M.W.A., K.S. and C.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the two reviewers and the associate editors for the precise and constructive comments on the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kittaneh, F. A numerical radius inequality and an estimate for the numerical radius of the Frobenius companion matrix. Studia Math. 2003, 158, 11–17. [Google Scholar] [CrossRef] [Green Version]
  2. Kittaneh, F. Numerical radius inequalities for Hilbert space operators. Studia Math. 2005, 168, 73–80. [Google Scholar] [CrossRef] [Green Version]
  3. Alomari, M.W. On the generalized mixed Schwarz inequality. Proc. Inst. Math. Mech. Natl. Acad. Sci. Azerbaijan 2020, 46, 3–15. [Google Scholar] [CrossRef]
  4. Alomari, M.W. Improvements of some numerical radius inequalities. Azerbaijan J. Math. 2022, 12, 124–137. [Google Scholar]
  5. Dragomir, S.S. Inequalities for the numerical radius of linear operators in Hilbert spaces. In SpringerBriefs in Mathematics; Springer: Cham, Switzerland, 2013. [Google Scholar]
  6. El-Haddad, M.; Kittaneh, F. Numerical radius inequalities for Hilbert space operators. II. Studia Math. 2007, 182, 133–140. [Google Scholar] [CrossRef]
  7. Kittaneh, F.; Manasrah, Y. Improved Young and Heinz inequalities for matrices. J. Math. Anal. Appl. 2010, 361, 262–269. [Google Scholar] [CrossRef] [Green Version]
  8. Bakherad, M.; Shebrawi, K. Upper bounds for numerical radius inequalities involving off-diagonal operator matrices. Ann. Funct. Anal. 2018, 9, 297–309. [Google Scholar] [CrossRef] [Green Version]
  9. Sattari, M.; Moslehian, M.S.; Yamazaki, T. Some generalized numerical radius inequalities for Hilbert space operators. Linear Algebra Appl. 2015, 470, 216–227. [Google Scholar] [CrossRef]
  10. Dragomir, S.S. Some inequalities for the norm and the numerical radius of linear operator in Hilbert spaces. Tamkang J. Math. 2008, 39, 1–7. [Google Scholar] [CrossRef] [Green Version]
  11. Dragomir, S.S. Some Inequalities generalizing Kato’s and Furuta’s results. FILOMAT 2014, 28, 179–195. [Google Scholar] [CrossRef]
  12. Kittaneh, F.; Moslehian, M.S.; Yamazaki, T. Cartesian decomposition and numerical radius inequalities. Linear Algebra Appl. 2015, 471, 46–53. [Google Scholar] [CrossRef]
  13. Popescu, G. Unitary Invariants in Multivariable Operator Theory; American Mathematical Society: Providence, RI, USA, 2009; Volume 200. [Google Scholar]
  14. Moslehian, M.S.; Sattari, M.; Shebrawi, K. Extension of Euclidean operator radius inequalities. Math. Scand. 2017, 120, 129–144. [Google Scholar] [CrossRef]
  15. Sheikhhosseini, A.; Moslehian, M.S.; Shebrawi, K. Inequalities for generalized Euclidean operator radius via Young’s inequality. J. Math. Anal. Appl. 2017, 445, 1516–1529. [Google Scholar] [CrossRef]
  16. Alomari, M.W. On Some Inequalities for the generalized Euclidean operator radius. Preprints 2019, 2019120389. [Google Scholar] [CrossRef]
  17. Kittaneh, F. Notes on some inequalities for Hilbert Space operators. Publ. Res. Inst. Math. Sci. 1988, 24, 283–293. [Google Scholar] [CrossRef] [Green Version]
  18. Al-Manasrah, Y.; Kittaneh, F. A generalization of two refined Young inequalities. Positivity 2015, 19, 757–768. [Google Scholar] [CrossRef]
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Alomari, M.W.; Shebrawi, K.; Chesneau, C. Some Generalized Euclidean Operator Radius Inequalities. Axioms 2022, 11, 285. https://doi.org/10.3390/axioms11060285

AMA Style

Alomari MW, Shebrawi K, Chesneau C. Some Generalized Euclidean Operator Radius Inequalities. Axioms. 2022; 11(6):285. https://doi.org/10.3390/axioms11060285

Chicago/Turabian Style

Alomari, Mohammad W., Khalid Shebrawi, and Christophe Chesneau. 2022. "Some Generalized Euclidean Operator Radius Inequalities" Axioms 11, no. 6: 285. https://doi.org/10.3390/axioms11060285

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