Next Article in Journal
The Effects of Postural Training on Gait Kinematics in Individuals with Intellectual and Developmental Disabilities
Next Article in Special Issue
Symmetry and Asymmetry in Moment, Functional Equations, and Optimization Problems
Previous Article in Journal
Training Data Selection for Record Linkage Classification
Previous Article in Special Issue
Some Refinements of the Tensorial Inequalities in Hilbert Spaces
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities

1
Department of Mathematics, Faculty of Science, Al Zaytoonah University of Jordan, Amman 11733, Jordan
2
Department of Mathematics, Faculty of Science and Information Technology, Irbid National University, Irbid 21110, Jordan
3
Department of Mathematics, Faculty of Science, University of Jordan, Amman 11940, Jordan
4
Department of Mathematical Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
5
Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid 21110, Jordan
*
Author to whom correspondence should be addressed.
Symmetry 2023, 15(5), 1061; https://doi.org/10.3390/sym15051061
Submission received: 28 March 2023 / Revised: 20 April 2023 / Accepted: 23 April 2023 / Published: 11 May 2023
(This article belongs to the Special Issue Symmetry in Mathematical Analysis and Functional Analysis II)

Abstract

:
This paper proves several new inequalities for the Euclidean operator radius, which refine some recent results. It is shown that the new results are much more accurate than the related, recently published results. Moreover, inequalities for both symmetric and non-symmetric Hilbert space operators are studied.

1. Introduction

Let A M be the Banach algebra of all bounded linear operators defined on a complex Hilbert space M ; · , · with the identity operator 1 M . For a bounded linear operator M on a Hilbert space M , the numerical range W P is the image of the unit sphere of M under the quadratic form c M c , c associated with the operator. More precisely,
W M = M c , c : c M , c = 1 .
Moreover, the numerical radius is defined to be
w M = sup λ W T | λ | = sup c = 1 M c , c .
We recall that the usual operator norm of an operator T is defined to be
M = sup M c : c M , c = 1 ,
It is well known that w · defines an operator norm on A M that is equivalent to the operator norm · . Moreover, we have
1 2 M w M M
for any M A M .
The Euclidean operator radius of an n-tuple P = P 1 , , P n A M n : = A M × × A M was introduced by Popsecu in [1], where P 1 , , P n A M . The Euclidean operator radius of P 1 , , P n is defined by
w e P 1 , , P n : = sup c = 1 i = 1 n P i c , c 2 1 / 2 .
Indeed, the Euclidean operator radius was generalized in [2] as follows:
w p P 1 , , P n : = sup c = 1 i = 1 n P i c , c p 1 / p , p 1 .
If p = 1 , then w 1 P 1 , , P n (in addition, it is denoted by w R P 1 , , P n ) is called the Rhombic numerical radius, which has been studied in [3]. In particular, if P 1 = = P n = P , then it is interesting that w 1 P , , P = n w P , where w P is the numerical radius of P.
We note that the inequality
w P 1 , , P n w p P 1 , , P n w R P 1 , , P n
holds for all p 1 , ; see [4].
In addition, Popescu [1] proved that
1 2 n k = 1 n P k P k * 1 2 w e P 1 , , P n k = 1 n P k P k * 1 2 .
As noted in [5], and as a special case of (3), if Y = F + i G is the Cartesian decomposition of A, then
w e 2 F , G = sup c = 1 F c , c 2 + G c , c 2 = sup c = 1 Y c , c 2 = w 2 Y .
Since Y * Y + Y Y * = 2 F 2 + G 2 , we have
1 16 Y * Y + Y Y * w 2 Y 1 2 Y * Y + Y Y * .
Note that the case of n = 2 was studied by Dragomir in [6], and he obtained some interesting results regarding the Euclidean operator radius of two operators w e P 1 , P 2 .
The Euclidean operator radius was generalized in [5] as follows:
ω p P 1 , , P n : = sup c = 1 i = 1 n P i c , c p 1 p , p 1 .
In [5], Moslehian, Sattari, and Shebrawi proved several inequalities regarding n-tuple operators P A M n . In particular, they proved the following two results:
ω p P 1 , , P n 1 2 i = 1 n P i 2 α + P i * 2 1 α p 1 p
and
ω p P 1 , , P n i = 1 n α P i p + 1 α P i * p 1 p
for α 0 , 1 and p 1 . For the case p = 2 , (5) and (6) studied upper bounds for the Euclidean operator radius ω e · . It should be noted that in case n = 1 and p = 1 , then (5) reduces to the main result in [7].
An inequality for a product of two Hilbert space operators was also deduced in [5], as follows:
ω e 2 r Q 1 * P 1 , , Q n * P n 1 2 i = 1 n P i 4 r + Q i 4 r
for all P i , Q i A M and r 1 . This inequality generalizes and extends the result in [8].
In [2], Sheikhhosseini, Moslehian, and Shebrawi refined the above two inequalities by proving the following two results, respectively,
ω p P 1 , , P n 1 2 i = 1 n P i 2 α + P i * 2 1 α p 1 p inf c = 1 ξ c
where
ξ c = 1 2 i = 1 n P i 2 α p c , c 1 2 P i * 2 1 α p c , c 1 2 2
and
w p p P 1 , , P n i = 1 n α P i p m + 1 α P i * p m m inf c = 1 ξ c
where
ξ c = min α , 1 α i = 1 n P i p m c , c m 2 P i * p m c , c m 2 2 .
For further inequalities of the Euclidean operator radius combined with several basic properties, the reader may refer to [3,4,6,9,10]. For more generalization, counterparts, and recent related results, the reader may refer to [11,12,13,14,15,16,17,18,19].
In [19], Alomari proved the following version of the Euclidean operator radius, which generalized the celebrated Kittaneh inequality [20].
1 2 p + 1 n p 1 k = 1 n P k * P k + P k P k * p ω 2 p 2 p P 1 , , P n 1 2 p k = 1 n P k * P k + P k P k * p
for all P k A M ( k = 1 , , n ) and p 1 . In particular, we have
1 4 k = 1 n P k * P k + P k P k * ω e 2 P 1 , , P n 1 2 k = 1 n P k * P k + P k P k * .
This article proves several new inequalities for the Euclidean operator radius ω · . More precisely, refinement inequalities of some old results are presented. Section 2 recalls some key inequalities used in the following section. Section 3 is focused on the diverse upper bounds for the Euclidean operator radius ω · , and this gives an extension and refinements of (5) and (7) when p = 2 . Our new inequalities are devoted to refining the Euclidean operator radius ω e · . A similar approach could be used to refine several inequalities for ω p · . Inequalities for symmetric (self-adjoint) and non-symmetric (arbitrary) Hilbert space operators are also covered.

2. Lemmas

To prove our results, we need a sequence of lemmas.
Lemma 1
([21]). The Power-Mean inequality states that
t α s 1 α α t + 1 α s α t p + 1 α s p 1 p
for all α 0 , 1 , s , t 0 and p 1 .
Lemma 2
([22]). [Theorem 1.4] Let P A M + , then
P c , c p P p c , c , p 1
for any vector c M . The inequality (11) is reversed if 0 p 1 .
The following result generalizes and refines Kato’s inequality or the so-called mixed Schwarz inequality [23].
Lemma 3
([24]). [Lemma 5] Let P A M , 0 α 1 and p 1 . Then,
P c , d 2 p β P 2 p α c , c P * 2 p 1 α d , d + 1 β P c , d p P 2 p α c , c P * 2 p 1 α d , d P 2 p α c , c P * 2 p 1 α d , d .
for all β 0 , 1 .
Corollary 1.
Let P A M , 0 α , β 1 . Then,
P c , d 2 β P 2 α c , c P * 2 1 α d , d + 1 β P c , d P 2 α c , c P * 2 1 α d , d P 2 α c , c P * 2 1 α d , d .
Proof. 
Setting p = 1 in (12). □
Lemma 4
([24]). Let P , Q A M . Then,
P c , Q d 2 β P 2 c , c Q 2 d , d + 1 β P c , Q d P 2 c , c Q 2 d , d P c 2 Q d 2
for any vectors c , d M and all β 0 , 1 .
Lemma 5
([25]). Let P A M . Then,
P c , c 2 1 2 P 2 c , c + 1 4 P 2 + P * 2 c , c
for any vectors c M .
Lemma 6
([26]). [Theorem 2.3] Let f be a non-negative convex function on 0 , , and let P , Q A M be two positive operators. Then,
f P + Q 2 f P + f Q 2 .

3. Applications to Numerical Radius Inequalities

We are in a position to state our first main result involving the numerical radius inequalities for a product of two Hilbert space operators.
Theorem 1.
Let P k , Q k A M ( k = 1 , 2 , , n ) . Then,
ω e 2 r Q 1 * P 1 , , Q n * P n 1 2 r β k = 1 n P k 4 + Q k 4 r + 1 2 r 1 β ω e r Q 1 * P 1 , , Q n * P n k = 1 n P k 2 + Q k 2 2 r
for all β 0 , 1 and r 1 .
Proof. 
Let u M be a unit vector. We set c = P k u and d = Q k u ( k = 1 , , n ) in the first inequality in (14). Employing the AM–GM inequality, the convexity of t 2 ( t > 0 ) , and using Lemma 2, we obtain
Q k * P k u , u 2 1 β Q k * P k u , u P k 2 u , u 1 2 Q k 2 u , u 1 2 + β P k 2 u , u Q k 2 u , u . 1 β Q k * P k u , u P k 2 u , u 1 2 Q k 2 u , u 1 2 + 1 2 β P k 2 u , u 2 + Q k 2 u , u 2 1 2 1 β Q k * P k u , u P k 2 u , u + Q k 2 u , u + 1 2 β P k 4 u , u + Q k 4 u , u = 1 2 1 β Q k * P k u , u P k 2 + Q k 2 u , u + 1 2 β P k 4 + Q k 4 u , u .
Taking the summation over k = 1 up to n for both sides, we have
k = 1 n Q k * P k u , u 2 1 2 1 β k = 1 n Q k * P k u , u P k 2 + Q k 2 u , u + 1 2 β k = 1 n P k 4 + Q k 4 u , u
Applying the Cauchy–Schwarz inequality to real numbers and then applying Lemma 2, we obtain
k = 1 n Q k * P k u , u 2 1 2 1 β k = 1 n Q k * P k u , u P k 2 + Q k 2 u , u + 1 2 β k = 1 n P k 4 + Q k 4 u , u 1 2 1 β k = 1 n Q k * P k u , u 2 1 2 k = 1 n P k 2 + Q k 2 u , u 2 1 2 + 1 2 β k = 1 n P k 4 + Q k 4 u , u 1 2 1 β k = 1 n Q k * P k u , u 2 1 2 k = 1 n P k 2 + Q k 2 2 u , u 1 2 + 1 2 β k = 1 n P k 4 + Q k 4 u , u = 1 2 1 β k = 1 n Q k * P k u , u 2 1 2 k = 1 n P k 2 + Q k 2 2 u , u 1 2 + 1 2 β k = 1 n P k 4 + Q k 4 u , u
Again, by applying the convexity of t r ( r 1 ) , we obtain
k = 1 n Q k * P k u , u 2 r 1 2 1 β k = 1 n Q k * P k u , u 2 1 2 k = 1 n P k 2 + Q k 2 2 u , u 1 2 + 1 2 β k = 1 n P k 4 + Q k 4 u , u r 1 2 r 1 β k = 1 n Q k * P k u , u 2 r 2 k = 1 n P k 2 + Q k 2 2 u , u r 2 + 1 2 r β k = 1 n P k 4 + Q k 4 u , u r 1 2 r 1 β k = 1 n Q k * P k u , u 2 r 2 k = 1 n P k 2 + Q k 2 2 r u , u 1 2 + 1 2 r β k = 1 n P k 4 + Q k 4 r u , u
Taking the supremum over all unit vectors u M , we obtain the desired result in (17). □
Corollary 2.
Let P k , Q k A M ( k = 1 , 2 , , n ) . Then,
ω e 2 Q 1 * P 1 , , Q n * P n 1 2 k = 1 n P k 4 + Q k 4
for all β 0 , 1 .
Proof. 
Setting β = 1 in (17). □
Theorem 2.
Let P k , Q k A M ( k = 1 , 2 , , n ) . Then,
ω e 2 r Q 1 * P 1 , , Q n * P n 1 2 r 1 β r ω e r Q 1 * P 1 , , Q n * P n k = 1 n P k 2 + Q k 2 2 r 2 + 1 2 r β r k = 1 n P k 4 + Q k 4 r
for all β , r 0 , 1 .
Proof. 
Form the proof of Theorem 1. Since t t r ( t > 0 ) ) for subadditive for all r 0 , 1 , then we have
k = 1 n Q k * P k u , u 2 r 1 2 1 β k = 1 n Q k * P k u , u 2 1 2 k = 1 n P k 2 + Q k 2 2 u , u 1 2 + 1 2 β k = 1 n P k 4 + Q k 4 u , u r 1 2 r 1 β r k = 1 n Q k * P k u , u 2 r 2 k = 1 n P k 2 + Q k 2 2 u , u r 2 + 1 2 r β r k = 1 n P k 4 + Q k 4 u , u r
Taking the supremum over all unit vectors u M , we obtain the desired result. □
Another interesting inequality involving the product of two Hilbert space operators is elaborated in the following result that refines (7).
Theorem 3.
Let P k , Q k A M ( k = 1 , 2 , , n ) , r 1 and β 0 , 1 . Then,
ω e 2 r Q 1 * P 1 , , Q n * P n 1 2 β k = 1 n P k 4 r + Q k 4 r + 1 2 1 β ω e r Q 1 * P 1 , , Q n * P n k = 1 n P k 4 r + Q k 4 r 1 2 1 2 k = 1 n P k 4 r + Q k 4 r .
Proof. 
Employing (7), then, for all β 0 , 1 , we have
ω e 2 r Q 1 * P 1 , , S n * P n = β ω e 2 r Q 1 * P 1 , , Q n * P n + 1 β ω e 2 r Q 1 * P 1 , , Q n * P n = β ω e 2 r Q 1 * P 1 , , Q n * P n + 1 β ω e r Q 1 * P 1 , , Q n * P n ω e r Q 1 * P 1 , , S n * P n 1 2 β k = 1 n P k 4 r + Q k 4 r + 1 2 1 β ω e r Q 1 * P 1 , , Q n * P n k = 1 n P k 4 r + Q k 4 r 1 2 1 2 k = 1 n P k 4 r + Q k 4 r ,
where the first and second inequalities follow from (7), which proves (20). □
Now, we present some inequalities concerning the numerical radius of Hilbert space operators beginning with generalizing (15).
Theorem 4.
Let P k A M ( k = 1 , , n ) . Then,
w 2 p 2 p P 1 , , P k 1 2 w p p P 1 2 , , P k 2 + 1 2 p + 1 k = 1 n P k 2 + P k * 2 p .
for all p 1 . In particular, we have
w e 2 P 1 , , P k 1 2 w R P 1 2 , , P k 2 + 1 4 k = 1 n P k 2 + P k * 2 .
Proof. 
Replacing P with P k in (15), we obtain
P k c , c 2 p 1 2 P k 2 c , c + 1 2 P k 2 + P k * 2 2 c , c p 1 2 P k 2 c , c p + 1 2 p P k 2 + P k * 2 c , c p 1 2 P k 2 c , c p + 1 2 p P k 2 + P k * 2 p c , c
Summing over k, we obtain
k = 1 n P k c , c 2 p 1 2 k = 1 n P k 2 c , c p + 1 2 p k = 1 n P k 2 + P k * 2 p c , c = 1 2 k = 1 n P k 2 c , c p + 1 2 p k = 1 n P k 2 + P k * 2 p c , c
Taking the supremum over all unit vectors c M , we have
w 2 p 2 p P 1 , , P k 1 2 w p p P 1 2 , , P k 2 + 1 2 p + 1 k = 1 n P k 2 + P k * 2 p ,
and this yields (21); the particular case follows by setting p = 1 in (21). □
Example 1.
Let P 1 = 0 2 1 0 and P 2 = 0 0 2 0 be 2 × 2 -matrices. Employing (20) with n = 2 , and p = 1 , we have
ω e 2 P 1 , P 2 = sup z = 1 P 1 z , z 2 + P 2 z , z 2 = 3.25 , w R P 1 2 , P 2 2 = 2 k = 1 2 P k 2 + P k * 2 = 9 .
Thus,
1.802 = ω e P 1 , P 2 1 2 w R P 1 , P 2 + 1 4 k = 1 2 P k 2 + P k * 2 = 1.802
which gives the exact value for ω e P 1 , P 2 in this example. In fact, our bound improves both estimates given in (5) and (6).
Corollary 3.
Let P k , Q k A M ( k = 1 , , n ) . Then,
w 2 p 2 p Q 1 * P 1 , , Q k * P k 1 2 w p p ( Q 1 * P 1 ) 2 , , ( Q 1 * P k ) 2 + 1 2 p + 1 k = 1 n Q k * P k 2 + P k * Q k 2 p .
for all p 1 . In particular, we have
w e 2 Q 1 * P 1 , , Q k * P k 1 2 w R ( Q 1 * P 1 ) 2 , , ( Q 1 * P k ) 2 + 1 4 k = 1 n Q k * P k 2 + P k * Q k 2 p .
Theorem 5.
Let P k A M ( k = 1 , , n ) . Then,
ω e 2 P 1 , , P n β k = 1 n α P k 2 + 1 α P k * 2 + 1 2 1 β ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2
for all 0 α , β 1 .
Proof. 
Let c M be a unit vector. Setting d = c in (13), it follows that
P k c , c 2 β P k 2 α c , c P k * 2 1 α c , c + 1 β P k c , c P k 2 α c , c P k * 2 1 α c , c β P k 2 c , c α P k * 2 c , c 1 α ( by ( 11 ) ) + 1 β P k c , c · 1 2 P k 2 α c , c + P k * 2 1 α c , c ( by ( 10 ) ) β α P k 2 c , c + 1 α P k * 2 c , c ( by ( 10 ) ) + 1 2 1 β P k c , c P k 2 α + P k * 2 1 α c , c = β α P k 2 + 1 α P k * 2 c , c + 1 2 1 β P k c , c P k 2 α + P k * 2 1 α c , c .
Summing over k = 1 up to k = n and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
k = 1 n P k c , c 2 β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 2 1 β k = 1 n P k c , c P k 2 α + P k * 2 1 α c , c β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 2 α + P k * 2 1 α c , c 2 1 2 β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 2 α + P k * 2 1 α 2 c , c 1 2
Taking the supremum over all unit vectors c M , we obtain the required result in (25). □
The following result extends and generalizes the Kittaneh–Moradi inequality [5] for the Euclidean operator radius.
Corollary 4.
Let P k A M ( k = 1 , 2 , , n ) . Then,
ω e 2 P 1 , , P n 1 6 k = 1 n P k 2 + P k * 2 + 1 3 ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2
for all 0 α , β 1 .
Example 2.
Let P 1 = 0 2 1 0 and P 2 = 0 0 2 0 be 2 × 2 -matrices. Employing (26) with n = 2 , α = 1 2 and p = 1 , we obtain
ω e 2 P 1 , P 2 = sup z = 1 P 1 z , z 2 + P 2 z , z 2 = 3.25 .
However,
1.8027 = ω e P 1 , P 2 ( 1 6 P 1 2 + P 1 * 2 + P 2 2 + P 2 * 2 + 1 3 w e P 1 , P 2 P 1 + P 1 * 2 + P 2 + P 2 * 2 1 / 2 ) 1 / 2 = 1.97577
However, the upper bound in (5) gives 2.5495 and that in (6) gives 2.1213 , and this verifies that our bound in (26) is better than both estimates given in (5) and (6).
A refinement of (6) with p = 2 is incorporated in the following result.
Theorem 6.
Let P k A M . Then,
ω e 2 P 1 , , P n β k = 1 n α P k 2 + 1 α P k * 2 + 1 β ω e P 1 , , P n k = 1 n α P k 2 + 1 α P k * 2 1 2 k = 1 n α P k 2 + 1 α P k * 2
for all 0 α , β 1 .
Proof. 
Let c M be a unit vector. Setting d = c in (13), it follows that
P k c , c 2 β P k 2 α c , c P k * 2 1 α c , c + 1 β P k c , c P k 2 α c , c P k * 2 1 α c , c β P k 2 c , c α P k * 2 c , c 1 α ( by ( 11 ) ) + 1 β P k c , c P k 2 c , c α P k * 2 c , c 1 α β α P k 2 + 1 α P k * 2 c , c + 1 β P k c , c α P k 2 + 1 α P k * 2 c , c . ( by ( 10 ) )
Summing over k = 1 up to k = n and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
k = 1 n P k c , c 2 β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 β k = 1 n P k c , c α P k 2 + 1 α P k * 2 c , c β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 β k = 1 n P k c , c 2 1 2 k = 1 n α P k 2 + 1 α P k * 2 c , c 1 2 = β k = 1 n α P k 2 + 1 α P k * 2 c , c + 1 β k = 1 n P k c , c 2 1 2 k = 1 n α P k 2 + 1 α P k * 2 c , c 1 2
Taking the supremum over all unit vectors c M , we obtain the first in (27).
To obtain the second inequality from the first inequality, we have
ω e 2 P 1 , , P n β k = 1 n α P k 2 + 1 α P k * 2 + 1 β ω e P 1 , , P n k = 1 n α P k 2 + 1 α P k * 2 1 2 k = 1 n α P k 2 + 1 α P k * 2 ( by ( 6 ) with p = 2 )
which proves the required result. □
A refinement of (5) with p = 2 is incorporated in the following result.
Theorem 7.
Let P A M . Then,
ω e 2 P 1 , , P n 1 2 β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 β ω e P 1 , , P n k = 1 n P k 4 α + P k * 4 1 α 1 2
for all 0 α , β 1 .
Proof. 
Let c M be a unit vector. Setting d = c and p = 2 in (13), it follows that
P k c , c 2 β P k 4 α c , c 1 2 P k * 4 1 α c , c 1 2 + 1 β P k c , c P k 4 α c , c 1 2 P k * 4 1 α c , c 1 2 1 2 β P k 4 α c , c + P k * 4 1 α c , c + 1 2 1 β P k c , c P k 4 α c , c + P k * 4 1 α c , c ( by ( 10 ) ) 1 2 β P k 4 α + P k * 4 1 α c , c + 1 2 1 β P k c , c P k 4 α + P k * 4 1 α c , c .
Summing over k = 1 up to k = n and then applying the Cauchy–Schwarz inequality for real numbers, we have
k = 1 n P k c , c 2 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c P k 4 α + P k * 4 1 α c , c 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 4 α + P k * 4 1 α c , c 1 2 = 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 4 α + P k * 4 1 α c , c 1 2
Taking the supremum over all unit vectors c M , we obtain the required result. □
Corollary 5.
Let P k A M . Then,
ω e 2 P 1 , , P n 1 2 β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 β ω e P 1 , , P n k = 1 n P k 4 α + P k * 4 1 α 1 2 1 2 P k 4 α + P k * 4 1 α
for all p 1 and 0 α , β 1 .
Proof. 
From (28), we have
ω e 2 P 1 , , P n 1 2 β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 β ω e P 1 , , P n k = 1 n P k 4 α + P k * 4 1 α 1 2 1 2 β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 β k = 1 n P k 4 α + P k * 4 1 α ( by ( 28 ) with β = 0 ) = 1 2 P k 4 α + P k * 4 1 α ,
as required. □
The following two results extend the generalized Kittaneh–Moradi inequality (26).
Theorem 8.
Let P k A M k = 1 , 2 , , n . Then,
ω e 2 P 1 , , P n 1 2 β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 β ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2
for all 0 α , β 1 .
Proof. 
Let c M be a unit vector. Setting d = c in (12) with p = 1 , it follows that
P k c , c 2 β P k 2 α c , c P k * 2 1 α c , c + 1 β P k c , c P k 2 α c , c P k * 2 1 α c , c 1 2 β P k 2 α c , c 2 + P k * 2 1 α c , c 2 ( by ( 10 ) ) + 1 2 1 β P k c , c P k 2 α + P k * 2 1 α c , c ( by ( 10 ) ) 1 2 β P k 4 α c , c + P k * 4 1 α c , c ( by ( 11 ) ) + 1 2 1 β P k c , c P k 2 α + P k * 2 1 α c , c = 1 2 β P k 4 α + P k * 4 1 α c , c + 1 2 1 β P k c , c P k 2 α + P k * 2 1 α c , c
Summing over k = 1 up to k = n , and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
k = 1 n P k c , c 2 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c P k 2 α + P k * 2 1 α c , c 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 2 α + P k * 2 1 α c , c 2 1 2 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 2 α + P k * 2 1 α 2 c , c 1 2 = 1 2 β k = 1 n P k 4 α + P k * 4 1 α c , c + 1 2 1 β k = 1 n P k c , c 2 1 2 k = 1 n P k 2 α + P k * 2 1 α 2 c , c 1 2 .
We obtain the required result by taking the supremum over all unit vectors c M . □
Alomari [24] proved a refinement of Kittaneh–Moradi [27], which is better than the result of Kittaneh and Moradi. An extension of Alomari’s inequality (3.9, Ref. [24]) to the Euclidean operator radius is considered in the following result.
Theorem 9.
Let P k A M k = 1 , 2 , , n . Then,
ω e 2 P 1 , , P n 1 4 λ i = 1 n P i 2 α + P i * 2 1 α 2 + 1 2 1 λ ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2
for all λ 0 , 1 . In particular, we have
ω e 2 P 1 , , P n 1 12 i = 1 n P i 2 α + P i * 2 1 α 2 + 1 3 ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2 1 2 k = 1 n P k 2 α + P k * 2 1 α 2 .
Proof. 
Form (29) and (5), and for all λ 0 , 1 , we have
ω e 2 P 1 , , P n = 1 λ ω e 2 P 1 , , P n + λ ω e 2 P 1 , , P n 1 2 1 λ β k = 1 n P k 4 α + P k * 4 1 α + 1 2 1 λ 1 β ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2 + 1 4 λ i = 1 n P i 2 α + P i * 2 1 α 2 ( by ( 5 ) with p = 2 )
Setting β = 0 , we obtain
ω e 2 P 1 , , P n 1 4 λ i = 1 n P i 2 α + P i * 2 1 α 2 + 1 2 1 λ ω e P 1 , , P n k = 1 n P k 2 α + P k * 2 1 α 2 1 2
which gives the required result. The particular case follows by choosing λ = 1 3 . The second inequality in (31) follows directly from (5). □
Hence, as pointed out above, (31) is stronger than (26), as well as (31) is much better than the inequalities (5) and (29).
Example 3.
Let C 1 = 0 2 1 0 and C 2 = 0 0 2 0 be 2 × 2 -matrices. Employing (31) 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 = 3.25 ,
1.802775638 = ω e C 1 , C 2 1 12 i = 1 2 C i + C i * 2 + 1 3 ω e C 1 , C 2 k = 1 2 C k + C k * 2 1 2 = 1.802775638 1 2 k = 1 2 C k + C k * 2 = 2.549509757 .
Fortunately, our bound in (31) gives the exact value of ω e C 1 , C 2 , which, as shown, is better than both estimates given by (5) and (6) (see Example 2). Moreover, this example proves that our inequality in (31) is better than (26).
Remark 1.
All obtained results of Section 3 are valid for the generalized Euclidean operator radius ω p · ( p 1 ) by using (12) instead of (13). We leave the rest of the generalizations to the interested reader.

4. The Davis–Wielandt Radius-Type Inequalities

One of the most recent and interesting generalizations of the numerical range of Hilbert space operators is the Davis–Wielandt shell, which is well known as
D W Q = Q c , c , Q c , Q c , c M , c = 1
for any Q A M . Clearly, the projection of the set D W Q on the first coordinate is W Q .
The Davis–Wielandt shell and its radius were introduced and described firstly by Davis in [28,29] and Wielandt [30]. The Davis–Wielandt radius of Q A M is defined as
d w Q = sup c M c = 1 Q c , c 2 + Q c 4 .
One can easily check that d w Q is unitarily invariant, but it does not define a norm on A M .
It is shown that [25]
max ω Q , Q 2 d ω Q ω 2 Q + Q 4
for all Q A M . The inequalities are sharp. For further results concerning Davis–Wielandt radius inequalities, the reader may refer to [12,13,15,18,31,32,33,34,35,36,37,38,39,40].
The Euclidean Davis–Wielandt radius has been introduced in [19]. In fact, for an n-tuple M = M 1 , , M n A M n : = A M × × A M , i.e., for M 1 , , M n A M , one of the most interesting generalizations of the Davis–Wielandt radius d w · is the Euclidean Davis–Wielandt radius, which is defined as
d w e M 1 , , M n = sup c M c = 1 i = 1 n M i c , c 2 + M i c 4 1 / 2 .
Indeed, a suitable relation between the Euclidean operator radius and the Euclidean Davis–Wielandt radius (33) can be constructed as follows.
For any positive integer n, let G i A M ( i = 1 , , 2 n ) . Therefore, we have
w e G 1 , , G 2 n : = sup c = 1 i = 1 2 n G i c , c 2 1 / 2 for all c M .
Let M i A M ( i = 1 , , n ) . Define the sequence of operators M i in terms of G i , such that
G 1 = M 1 , and G 2 = M 1 * M 1 ; G 3 = M 2 , and G 4 = M 2 * M 2 ; G 5 = M 3 , and G 6 = M 3 * M 3 ; G 2 n 1 = M n , and G 2 n = M n * M n .
Now, we have
w e G 1 , , G 2 n : = sup c = 1 i = 1 2 n G i c , c 2 1 / 2 = sup c = 1 i = 1 n M i c , c 2 + M i * M i c , c 2 1 / 2 = d w e M 1 , , M n .
which gives a very elegant relation between the Euclidean operator radius and the Euclidean Davis–Wielandt radius.
In light of the above construction, we have
Theorem 10
([19]). [Theorem 3.4] Let Q i A M ( i = 1 , , n ) . Then,
max w e Q 1 , , Q n , w e Q 1 2 , , Q n 2 d w e Q 1 , , Q n w e Q 1 , , Q n + w e Q 1 2 , , Q n 2 .
One can generalize the results in Section 3 by following the same procedure above. A very powerful inequality has been proven recently by Alomari [19], as follows:
1 4 k = 1 n Q k 2 + Q k * 2 + 2 Q k 4 d w e 2 Q 1 , , Q n 1 2 k = 1 n Q k 2 + Q k * 2 + 2 Q k 4 .
We finish our results by obtaining a new bound for the Davis–Wielandt radius d w · . To do so, we need the following observation.
Lemma 7
([19]). [Lemma 2] Let Q A M . Then,
w e Q , Q * Q = d w Q .
Theorem 11.
Let Q A M . Then,
d w Q w Q 2 + Q 4 2 + 1 4 Q 2 + Q * 2 + 2 Q 4 .
Proof. 
Replacing P with P k ( k = 1 , , n ) in Lemma 5, we obtain
P k c , c 2 1 2 P k 2 c , c + 1 4 P k 2 + P k * 2 c , c .
Summing over k, we obtain
k = 1 n P k c , c 2 1 2 k = 1 n P k 2 c , c + 1 4 k = 1 n P k 2 + P k * 2 c , c = 1 2 k = 1 n P k 2 c , c + 1 4 k = 1 n P k 2 + P k * 2 c , c
Taking the supremum over all unit vectors c M , we have
w e 2 P 1 , , P k 1 2 w R P 1 2 , , P k 2 + 1 4 k = 1 n P k 2 + P k * 2 .
For n = 2 , we have
w e 2 P 1 , P 2 1 2 w R P 1 2 , P 2 2 + 1 4 P 1 2 + P 1 * 2 + P 2 2 + P 2 * 2 .
Now, setting P 1 = Q and P 2 = Q * Q in (38), by Lemma 7, we have
d w 2 Q = w e 2 Q , Q 2 1 2 w R Q 2 , Q 4 + 1 4 Q 2 + Q * 2 + 2 Q 4 .
However, since
w R Q 2 , Q 4 = sup c = 1 Q 2 c , c + Q 4 c , c w Q 2 + Q 4 ,
Then, the inequality (36) follows from the previous inequality. □
Example 4.
Let Q = 0 2 0 0 be 2 × 2 -matrix. Employing (31), we have
d w Q w Q 2 + Q 4 2 + 1 4 Q 2 + Q * 2 + 2 Q 4 = 4.123105626 ,
which is better than both estimates given in (32) (= 4.472135954 ) and in (34) (= 4.242640686 ) . It is convenient to note that, according to (32), the lower bound of d w Q 4 . Fortunately, the definition of the Davis–Wielandt radius gives
d w Q = sup c M c = 1 Q c , c 2 + Q c 4 = 4.123105626
which is exactly our estimate. This implies that our estimate in (36) is very close to the exact value, in general.
Remark 2.
All obtained results of Section 3 are valid for the generalized Euclidean Davis–Wielandt radius by noting that the number of operators should be 2 n instead of n and the previously mentioned sequence of operators. We leave the rest of the generalizations to the interested reader.

5. Conclusions

This work brings together, with several refinements, inequalities for the Eculadeain operator radius ω e ( · ) . Namely, it is shown that the inequalities (17)–(31) are much better than (5)–(7). This is shown mathematically and supported with several examples. In fact, some of the obtained results are sharper than other inequalities. Among others, (26), (31), (34), and (36) are the most interesting improved refinements of the obtained inequalities. Nevertheless, the other presented inequalities are still better than (5) and (6) and all amplify their inequalities. Supporting our assertions with various examples, we show that our results are much better than all older and earlier inequalities. Finally, an interesting new bound for the Davis–Wielandt radius (36) is established. We note that our result could be generalized for the generalized operator radius ω p ( · ) ; we leave the details to the interested reader.

Author Contributions

Conceptualization, T.H., M.W.A.; methodology, M.W.A.; software, I.A.-S., A.S.H.; validation, T.H., I.A.-S., H.A., R.H. and A.S.H.; formal analysis, T.H., M.W.A., H.A.; investigation, M.W.A., H.A., R.H.; resources, M.W.A.; data curation, I.A.-S., H.A., R.H., A.S.H.; writing—original draft preparation, T.H., M.W.A., H.A.; writing—review and editing, T.H., I.A.-S., H.A., R.H., A.A.-H.; visualization, I.A.-S., H.A.; supervision, M.W.A., H.A., R.H.; project administration, H.A.; funding acquisition, H.A., A.A.-H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Popescu, G. Unitary invariants in multivariable operator theory. Mem. Am. Math. Soc. 2009, 200, 941. [Google Scholar] [CrossRef]
  2. 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]
  3. Bajmaeh, A.B.; Omidvar, M.E. Some Inequalities for the numerical radius and Rhombic numerical radius. Kragujev. J. Math. 2018, 42, 569–577. [Google Scholar]
  4. Alomari, M.W.; Shebrawi, K.; Chesneau, C. Some generalized Euclidean operator radius inequalities. Axioms 2022, 11, 285. [Google Scholar] [CrossRef]
  5. Moslehian, M.S.; Sattari, M.; Shebrawi, K. Extension of Euclidean operator radius inequalities. Math. Scand. 2017, 120, 129–144. [Google Scholar] [CrossRef]
  6. Dragomir, S.S. Some inequalities for the Euclidean operator radius of two operators in Hilbert spaces. Linear Algebra Appl. 2006, 419, 256–264. [Google Scholar] [CrossRef]
  7. Kittaneh, F. Numerical radius inequalities for Hilbert space operators. Studia Math. 2005, 168, 73–80. [Google Scholar] [CrossRef]
  8. Dragomir, S.S. Power inequalities for the numerical radius of a product of two operators in Hilbert spaces. Sarajevo J. Math. 2009, 5, 269–278. [Google Scholar]
  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. Altwaijry, N.; Feki, K.; Minculete, N. On some generalizations of Cauchy–Schwarz inequalities and their applications. Symmetry 2023, 15, 304. [Google Scholar] [CrossRef]
  11. Altwaijry, N.; Feki, K. Minculete, Further inequalities for the weighted numerical radius of operators. Mathematics 2022, 10, 3576. [Google Scholar] [CrossRef]
  12. Bhunia, P.; Bhanja, A.; Bag, S.; Paul, K. Bounds for the Davis–Wielandt radius of bounded linear operators. Ann. Funct. Anal. 2021, 12, 18. [Google Scholar] [CrossRef]
  13. Bhunia, P.; Sain, D.; Paul, K. On the Davis–Wielandt shell of an operator and the Davis–Wielandt index of a normed linear space. arXiv 2020, arXiv:2006.1532. [Google Scholar] [CrossRef]
  14. Bhunia, P.; Paul, K. Some improvements of numerical radius inequalities of operators and operator matrices. Linear Multilinear Algebra 2020. [Google Scholar] [CrossRef]
  15. Feki, K.; Mahmoud, S.A.O.A. Davis–Wielandt shells of semi-Hilbertian space operators and its applications. Banach J. Math. Anal. 2020, 14, 1281–1304. [Google Scholar] [CrossRef]
  16. Hajmohamadi, M.; Lashkaripour, R.; Bakherad, M. Some generalizations of numerical radius on off-diagonal part of 2×2 operator matrices. J. Math. Inequalities 2018, 12, 447–457. [Google Scholar] [CrossRef]
  17. Hajmohamadi, M.; Lashkaripour, R.; Bakherad, M. Further refinements of generalized numerical radius inequalities for Hilbert space operators. Georgian Math. J. 2021, 28, 83–92. [Google Scholar] [CrossRef]
  18. Moghaddam, S.F.; Mirmostafaee, A.K.; Janfada, M. Some Sharp Estimations for Davis–Wielandt Radius in B(H). Mediterr. J. Math. 2022, 19, 283. [Google Scholar] [CrossRef]
  19. Alomari, M.W. On the Davis–Wielandt radius inequalities of Hilbert space operators. Linear Multilinear Algebra 2022, 1–25. [Google Scholar] [CrossRef]
  20. 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]
  21. Mitrinović, D.S.; Pečarić, J.; Fink, A.M. Classical and New Inequalities in Analysis; Kluwer Academic Publishers: Dordrecht, The Netherlands, 1993. [Google Scholar]
  22. Furuta, T.; Mićić, J.; Pečarić, J.; Seo, Y. Mond–Pečarić Method in Operator Inequalities, 1st ed.; Ele-Math, Publishing House Element: Zagreb, Croatia, 2005. [Google Scholar]
  23. Kato, T. Notes on some inequalities for linear operators. Math. Ann. 1952, 125, 208–212. [Google Scholar] [CrossRef]
  24. Alomari, M.W. On Cauchy–Schwarz type inequalities and applications to numerical radius inequalities. Ricerche Mat. 2022, 1–18. [Google Scholar] [CrossRef]
  25. Zamani, A.; Shebrawi, K. Some upper bounds for the Davis–Wielandt radius of Hilbert space operators. Mediterr. J. Math. 2020, 17, 25. [Google Scholar] [CrossRef]
  26. Aujla, J.; Silva, F. Weak majorization inequalities and convex functions. Linear Algebra Appl. 2003, 369, 217–233. [Google Scholar] [CrossRef]
  27. Kittaneh, F.; Moradi, H.R. Cauchy–Schwarz type inequalities and applications to numerical radius inequalities. Math. Ineq. Appl. 2020, 23, 1117–1125. [Google Scholar] [CrossRef]
  28. Davis, C. The shell of a Hilbert-space operator. Acta Sci. Math. 1968, 29, 69–86. [Google Scholar]
  29. Davis, C. The shell of a Hilbert-space operator. II. Acta Sci. Math. 1970, 31, 301–318. [Google Scholar]
  30. Wielandt, H. On eigenvalues of sums of normal matrices. Pacific J. Math. 1955, 5, 633–638. [Google Scholar] [CrossRef]
  31. Al-Zoubi, H.; Abdel-Fattah, F.; Al-Sabbagh, M. Surfaces of finite III-type in the Eculidean 3-space. WSEAS Trans. Math. 2021, 20, 729–735. [Google Scholar]
  32. Alomari, M.W. Numerical radius inequalities for Hilbert space operators. Complex Anal. Oper. Theory 2021, 15, 1–19. [Google Scholar] [CrossRef]
  33. Hatamleh, R. On the form of correlation function for a class of nonstationary field with a zero spectrum. Rocky Mt. J. Math. 2003, 33, 159–173. [Google Scholar] [CrossRef]
  34. Hatamleh, R.; Zolotarev, V.A. Triangular Models of Commutative Systems of Linear Operators Close to Unitary Ones. Ukr. Math. J. 2016, 68, 791–811. [Google Scholar] [CrossRef]
  35. Li, C.K.; Poon, Y.T. Davis–Wielandt shells of normal operators. Acta Sci. Math. 2009, 75, 289–297. [Google Scholar]
  36. Li, C.K.; Poon, Y.T. Spectrum, numerical range and Davis–Wielandt shells of normal operator. Glasgow Math. J. 2009, 51, 91–100. [Google Scholar] [CrossRef]
  37. Li, C.K.; Poon, Y.T.; Sze, N.S. Davis–Wielandt, Shells of operators. Oper. Matrices 2008, 2, 341–355. [Google Scholar] [CrossRef]
  38. Li, C.K.; Poon, Y.T.; Sze, N.S. Elliptical range theorems for generalized numerical ranges of quadratic operators. Rocky Mountain J. Math. 2011, 41, 813–832. [Google Scholar] [CrossRef]
  39. Li, C.K.; Poon, Y.T.; Tominaga, M. Spectra, norms and numerical ranges of generalized. Linear Multilinear Algebra 2011, 59, 1077–1104. [Google Scholar] [CrossRef]
  40. Lins, B.; Spitkovsky, I.M.; Zhong, S. The normalized numerical range and the Davis–Wielandt shell. Linear Algebra Its Appl. 2018, 546, 187–209. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Hamadneh, T.; Alomari, M.W.; Al-Shbeil, I.; Alaqad, H.; Hatamleh, R.; Heilat, A.S.; Al-Husban, A. Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities. Symmetry 2023, 15, 1061. https://doi.org/10.3390/sym15051061

AMA Style

Hamadneh T, Alomari MW, Al-Shbeil I, Alaqad H, Hatamleh R, Heilat AS, Al-Husban A. Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities. Symmetry. 2023; 15(5):1061. https://doi.org/10.3390/sym15051061

Chicago/Turabian Style

Hamadneh, Tareq, Mohammad W. Alomari, Isra Al-Shbeil, Hala Alaqad, Raed Hatamleh, Ahmed Salem Heilat, and Abdallah Al-Husban. 2023. "Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities" Symmetry 15, no. 5: 1061. https://doi.org/10.3390/sym15051061

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop