Abstract
The aim of this paper is to provide new upper bounds of , which denotes the numerical radius of a bounded operator T on a Hilbert space . We show the Aczél inequality in terms of the operator . Next, we give certain inequalities about the A-numerical radius and the A-operator seminorm of an operator T. We also present several results related to the -numerical radius of block matrices of semi-Hilbert space operators, by using symmetric block matrices.
MSC:
46C05; 47A12; 47A05; 47B65
1. Introduction and Preliminaries
Let be a complex Hilbert space, endowed with the inner product and associated norm . We denote by the -algebra of all bounded linear operators on with identity I. For , the nullspace and the range of T are, respectively, denoted by and . If is any closed linear subspace of , then stands for the orthogonal projection onto . If we have , then a bounded linear operator T on is called selfadjoint. We denote by the semi-space of all selfadjoint operators in . We remark that if and only if , for any vector . We define by the cone of positive (semi-definite) operators of , namely,
In [1], for any unit vector and we have the McCarthy inequality
If , then we can say that there exists a unique positive bounded linear operator such that .
For , the absolute value is defined by . Notice that is a positive operator.
For , we recall the following values: (the operator norm of T) and (the numerical radius of the operator T). It is easy to see that . If T is a normal operator (), then we deduce . In [2], Kittaneh showed that
and in [3] the same author proved that:
For ,
This represents an inequality given by Dragomir in [4].
Next, we present an improvement of the above inequality for , given by Kittaneh and Moradi in [5]:
Some results related to the numerical radius are given in [6,7].
The Moore-Penrose inverse of T denoted by has the properties studied in several papers (see [8]).
In [8], it is given that if and only if T has closed range in , that is, , where means the closure of in the norm topology of .
From now on, we assume that is a nonzero operator which defines the following positive semidefinite sesquilinear form
Notice that the seminorm induced by is given by for every . We remark that is a norm on if and only if A is an injective operator, and that the semi-Hilbert space is complete if and only if is a closed subspace in . It is easy to see that if , then and
The numerical radius plays an important role in various fields of operator theory and matrix analysis (cf. [9,10]). We remark that and , for with .
Certain generalizations for the notion of the numerical radius have recently been introduced (cf. [11,12,13]). Among these generalizations is the A-numerical radius of an operator , which was firstly defined by Saddi in [13] as
There are many other results, in numerous recent papers, related to the A-numerical radius (cf. [14,15,16,17,18,19]) and the references therein.
An operator is called an A-adjoint operator of T, where , if the identity holds for every , therefore, S is the solution of the following operator equation . This equation can be investigated by using a theorem due to Douglas [20]. We denote by and the sets of all operators that admit A–adjoints and –adjoints, respectively. From Douglas’s theorem we deduce that
and
We observed that and are two subalgebras of which are neither closed nor dense in . Moreover, the following proper inclusion holds (see [18]).
An operator is called A–bounded if . On the set , the following semi-norm is defined
(see [18] and the references therein). It is easy to see that for , if and only if . We also observe that for , , for all . This immediately yields , for all .
If , then the Douglas solution of the equation (see [20]) will be denoted by . Note that . Furthermore, if , then , and . Let . The operator T is called A–selfadjoint if , that is, . Further, T is called A–positive if and we write . Clearly, A–positive operators are always A–selfadjoint. It is obvious that if T is A–selfadjoint, then . However, in general, the equality may not hold. We also note that if , then if and only if T is A–selfadjoint and . Furthermore, it was shown in [21] that if T is an A–selfadjoint operator, then is A–selfadjoint and
Moreover, it was proven in [18] that if T is A–selfadjoint, then
For proofs and other related results, the reader is referred to [8,21,22,23] and the references therein.
Before we move on, it must be emphasized that may be equal to for some (see [21]). Furthermore, it can be checked that for all , for every , holds. It is known that defines a semi-norm on such that for all the following inequality holds,
Some improvements of the inequalities (7) have been recently established by many authors (e.g., see [15,21], and their references). In particular, it has been shown in [24,25] that
for all .
When , we deduce the well-known inequalities proved by Kittaneh in ([3] Theorem 1), given in (2). Notice that the second author showed that satisfies the power property, that is, for every and all positive integers n,
In [5], a new improvement of the Cauchy–Schwarz inequality (in short (C-S)) is given by:
for any . This inequality provides refinements of some numerical radius inequalities for Hilbert space operators. Another inequality of the type above is given by Alomari [26]
for any and .
The main objective of the present paper is to study some new improvements of the upper bounds of , and , of the type given in (2)–(4). Next, we give certain inequalities about the A-numerical radius and the A-operator seminorm of an operator T defined on the semi-Hilbert space , respectively, where for all . One of the main purposes of this paper is to prove some refinements of the inequalities (8). We also present several results related to the -numerical radius for block matrices of semi-Hilbert space operators, where denotes the diagonal operator matrix whose each diagonal entry is the operator A.
2. Inequalities about
In this section, our first results are given. To begin with, a result which generalizes inequality (10) is presented:
Lemma 1.
Let . Then
for any .
Proof.
For and in the inequality (12) we obtain the inequality (C-S), . Therefore the inequality of the statement is true. However, we have
for all and , which means that
Remark 1.
Theorem 1.
Let , and . Then the inequality
holds.
Proof.
Taking the first inequality from Lemma 1, we have
for every and . From the power-mean inequality [27] given by
for all , and , we show that
for every , and . If we replace x and y by and , respectively, in (17), and we assume that , we then have
Using the same idea as in [5] or [26], for the above inequality, we deduce
Applying Young’s inequality in the above relation, we find the following inequality:
which is equivalent to
Thus, we have
If we take the supremum over with in the above inequality, then we obtain the inequality
Inequality (18), can be rewritten, rearranging the terms, as the inequality of the statement. □
Remark 2.
In [28], Buzano proved an interesting inequality:
where and . We apply this result in order to give another inequality related to the numerical radius.
Theorem 2.
Let and . Then the inequalities
hold.
Proof.
Let with and . Using inequality (20), we have
Thus, we deduce
We take into account the following sequence of inequalities:
Consequently, taking the supremum for in inequality (22), we find the first inequality of the statement.
Now, we have
Remark 3.
For in Theorem 2, we find an inequality given in [5], namely:
If we take in Theorem 2, we also obtain:
3. Some Inequalities about to the –Numerical Radius
Next, we give several results related to the seminorm induced by A.
Theorem 3.
If , and and , then
Proof.
Assume that . We consider the function defined by
This means that
where, we used the inequality .
Therefore, because we have and using the well-known inequality (C-S), , we find that the discriminant is negative, and hence , for all . Consequently, the inequality from the statement is valid. □
Corollary 1.
If , and and , then the inequality
holds.
Proof.
By using inequality (23) and the following algebraic inequality where , for and we find the inequality of the statement. □
Theorem 4.
If and , , then we have
Proof.
In inequality (24), replace x by and y by x. Thus,
for . If we take the supremum over , then we get the inequality of the statement, when □
Theorem 5.
Let and . Then, the equality
holds.
Proof.
We remark that Next, we have the following calculations:
and
which means that
Therefore, the equality of the statement is true. □
Corollary 2.
If , and and , then the inequality
holds.
Remark 4.
This inequality is the Aczél inequality in vectorial form (see, e.g., [29]).
Theorem 6.
Let with . Then we have
Proof.
Using inequality (27) for and taking into account the fact that , for with , we deduce the inequality of the statement. □
To establish our next result which covers and extends a well-known theorem by Kittaneh et al. in [5], we need the following two lemmas.
Lemma 2.
Let be A-positive operators. Then
where denotes the set of all positive integers.
To prove Lemma 2, we require the following lemma which was recently proven in [16]:
Lemma 3.
Let be such that . Then, we have
for every with .
Proof of Lemma 2.
We consider with . From the convexity of with , we get
Therefore, we obtain
Hence, by taking the supremum over all with in the above inequality we get
Therefore, the proof is complete by using (6) since . □
Lemma 4.
Let be such that . Then
Proof.
Let be such that . It follows from [13] that
By using (29), we see that
This immediately proves the desired result. □
Now, we will give an inequality concerning .
Theorem 7.
Let . Then the following inequality
holds.
Proof.
Let be such that . By putting and then replacing x and y by and , respectively, in Lemma 4 we see that
Further, by applying the arithmetic–geometric mean inequality, we have
where the last inequality follows by applying Lemma 3 since the operators and are A-positive. In addition, by using the inequality (C-S), we see that
This gives the following:
This proves the first inequality in Theorem 7 by taking the supremum over with in the last inequality. On the other hand, by applying (9) together with (8), we see that
Thus, by applying Lemma 2 for , we get
□
Remark 5.
- (i)
- Note that the inequalities in Theorem 7 are sharp. Indeed, it suffices to consider any A-normal operator T, i.e., , then by using the following properties: andfrom [18], it is clear that no superior values exist.
- (ii)
- Note that Theorem 3 in [5] follows from Theorem 7 by letting .
4. On Inequalities about the –Numerical Radius of Block Matrices
We consider , the diagonal operator matrix given as . It is obvious that and induces the semi-inner product
for every . In recent literature, some bounds concerning the -numerical radius of block matrices are given (see for example [30] and the reference therein). In the present section, we continue working in this direction and we prove new inequalities involving , where is a -operator matrix.
To prepare the framework in which we will work, we need the following lemmas, the first of which was proven in [19,31].
Lemma 5
([19,31]). Let . Then
- (i)
- .
- (ii)
- .
- (iii)
- .
- (iv)
- . In particular, we have
The second lemma is a straightforward application of (29) and is stated as follows.
Lemma 6
([32]). Let and with . Then
Now, we state the following results related to the -numerical radius of block matrices of semi-Hilbert space operators.
Theorem 8.
Let and . Then the inequality
holds.
Proof.
Using the inequality from Lemma 6, we have
where with and .
Let us consider By using Lemma 6, it follows that , , and
If we replace by with , by and by , then the above inequality becomes
This implies that
We take into account the following sequence of the inequalities, taking into account that and are –positive:
Consequently, taking the supremum over in inequality (31), we obtain the inequality of the statement. □
Remark 6.
For in inequality (31), we deduce
So, by taking Lemma 6 into account, we get the inequality recently established by Xu et al. in [32]:
for all .
Corollary 3.
Let and . Then inequalities
hold.
Proof.
From inequality (31), we have
In the above sequence of inequalities, we used the fact that and the inequality:
Therefore, by applying Lemma 6, it is clear that the inequalities of the statement are true. □
Remark 7.
By taking in Corollary 3 and then using (30), we obtain:
If we take in the last inequalities, then since , the inequality in Theorem 2 is true.
Our next theorem provides an extension of a recent result by Bani-Domi et al. in [33].
Theorem 9.
Let . Then
Proof.
Consider the matrices and . Let be such that . By using the convexity of the function , we deduce that
Further, by applying Lemma 6 we get
where the last inequality is deduced from (6) since is an –selfadjoint operator. We take the supremum over all with in the above inequality, implies that
On the other hand, it can be seen that
Therefore, the desired result is obtained by taking (32) into consideration and then applying Lemma 6. □
We remark that the following corollary considerably improves the second inequality in (8) and was already proven by the second author in [25]. This corollary was also approached by Bhunia et al. in [34], when the operator A is assumed to be injective.
Corollary 4.
Let . Then, the inequality
holds.
Proof.
By letting in Theorem 9 and then using Lemma 5 (iv), we obtain the desired result. □
As an application of (33), we derive the following result which extends a recent theorem stated by Kittaneh et al. in [35].
Theorem 10.
Let . Then, the following inequality
holds.
To prove Theorem 10, we need the following Lemma.
Lemma 7.
Let . Then
We are now able to prove Theorem 10.
Proof
(Proof of Theorem 10). Let and . Clearly, . Further, by using Lemma 5 (i), we see that
Hence, an application of (33) together with Lemma 7 gives
where the last equality follows by applying Lemma 5 (ii) and (iii). Furthermore, we can see that
This completes the proof. □
Corollary 5.
If are A–selfadjoint operators, then we have
5. Conclusions
The main objective of the present paper is to present new upper bounds of , which denotes the numerical radius of a bounded operator T on a Hilbert space . The study’s motivation is given by the multitude of recent papers that refer to the numerical radius, see [11,17,24,26,31,34]. The large number of papers published in this area demonstrates the relevance of this field of research. The main objective is focused on the study of some new improvements of the upper bounds of , and , of the type given in (2)–(4). We show the Aczél inequality in terms of the operator .
Next, we give certain inequalities about the A-numerical radius and the A-operator seminorm of an operator T from the semi-Hilbert space , where for all .
Furthermore, we present several results related to the -numerical radius of block matrices of semi-Hilbert space operators, by using symmetric block matrices. The symmetric block matrices are very important in our study because they are easy to use.
As a future approach, we will study better estimates of the -numerical radius for the symmetric operator matrix and we will investigate new inequalities involving a d-tuple of operators .
Author Contributions
The work presented here was carried out in collaboration between all authors. All authors contributed equally and significantly in writing this article. All authors have contributed to the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
The first author extends her appreciation to the Distinguished Scientist Fellowship Program at King Saud University, Riyadh, Saudi Arabia, for funding this work through Researchers Supporting Project number (RSP2023R187).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors would like to express their most sincere thanks to the anonymous reviewers for their constructive comments regarding the improvement of the original draft.
Conflicts of Interest
The authors declare no conflict of interest.
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