Abstract
In this paper, we aim to establish several estimates concerning the generalized Euclidean operator radius of d-tuples of A-bounded linear operators acting on a complex Hilbert space , which leads to the special case of the well-known A-numerical radius for . Here, A is a positive operator on . Some inequalities related to the Euclidean operator A-seminorm of d-tuples of A-bounded operators are proved. In addition, under appropriate conditions, several reverse bounds for the A-numerical radius in single and multivariable settings are also stated.
Keywords:
positive operator; joint A-numerical radius; Euclidean operator A-seminorm; joint operator A-seminorm MSC:
47B65; 47A12; 47A13; 47A30
1. Introduction
The theory of inequalities remains a very attractive area of research in the last few decades. In particular, the investigation of numerical radius inequalities in Hilbert and semi-Hilbert spaces has occupied an important and central role in the theory of operator inequalities. For further details, interested readers are referred to the very recent book by Bhunia et al. [1].
Throughout the present article, stands for a non-trivial complex Hilbert space with inner product and the corresponding norm . By , we denote the -algebra of all bounded linear operators acting on The identity operator on will be simply written as I. Let . The range and the adjoint of T will be denoted by and , respectively. An operator is called positive and we write if for all . If , then denotes the square root of T.
If is a subspace of , then we mean by the closure of in the norm topology of . Let be a closed subspace of . We denote by the orthogonal projection onto .
For the rest of this work, by an operator, we mean a bounded linear operator acting on . We also assume that is a non-zero, positive operator. Such an A defines the following semi-inner product on :
for all . The seminorm on induced by is stated as: for every . Hence, we see that the above seminorm is a norm on if and only if A is a one-to-one operator. Furthermore, one can prove that the semi-Hilbert space is a complete space if and only if . The A-unit sphere of is defined as
We refer the reader to the following list of recent works on the theory of semi-Hilbert spaces [1,2,3,4,5,6].
Let . We recall from [7] that an operator is called an A-adjoint of T if the equality
holds for all , that is, . In general, the existence and the uniqueness of an A-adjoint of an arbitrary bounded operator T are not guaranteed. By using a famous theorem due to Douglas [8], we see that the sets of all operators that admit A-adjoint and -adjoint operators are, respectively, given by
and
When an operator S belongs to , we say that S is A-bounded. It is not difficult to check that and represent two subalgebras of . Moreover, the following inclusions
hold and are, in general, proper. For more details, we refer to [7,9,10,11] and the references therein. We recall now that an operator is called A-self-adjoint if is self-adjoint. Clearly the fact that S is A-self-adjoint implies that . Furthermore, we say that an operator S is called A-positive (and we write ) if . Obviously, A-positive operators are A-self-adjoint. For the operator A-seminorm and the A-numerical radius of S are given, respectively, by
The quantities in (1) are also intensively studied when , and the reader is referred to [12,13,14,15,16,17,18,19,20,21,22] as a recent list of references treating the numerical radius and operator norm of operators on complex Hilbert spaces.
If , then by the Douglas theorem [8], there exists a unique solution, denoted by , of the problem: and . We emphasize here that if , then and .
Now, let be a d-tuple of operators. According to [23], the following two quantities
and
generalize the notions in (1) and define two equivalent norms on . Namely, we have
for every operator tuple . Note that and are called the joint A-numerical radius and joint operator A-seminorm of , respectively. The above two quantities have been investigated by several authors when (see for instance [24,25,26,27]). Another joint A-seminorm of A-bounded operators has been recently introduced [28]. Namely, the Euclidean A-seminorm of an operator tuple is given by
where denotes the closed unit ball of , i.e.,
where denotes the set of all complex numbers. It is important to note that the following inequalities,
hold for any d-tuple of operators (see [28]).
Our aim in the present article is to establish several estimates involving the quantities , and , where is a d-tuple of A-bounded operators. Some inequalities connecting the A-numerical radius and operator A-seminorm for A-bounded operators are established. One main target of this work is to derive, under appropriate conditions, several reverse bounds for in both single and multivariable settings. In particular, for , and , we will demonstrate under appropriate conditions on T, and r that
2. Results
This section is devoted to present our contributions. By , we will denote the real part of any complex number . In the next theorem, we state our first result.
Theorem 1.
Let and with If
or, equivalently
then
Proof.
Notice first that the following assertions,
- (i)
- (ii)
are equivalent for every . Indeed, one can see that
Hence, the equivalence is proved.
By taking , and in the statements (i) and (ii), we deduce that (4) and (5) are equivalent.
Now, for , we define
and
Then,
and
This gives
for any and . This is an interesting identity itself as well.
If (4) holds, then and thus
Furthermore, it can be checked that for every , we have
By letting
in the above elementary inequality, we obtain
Making use of the inequalities (7) and (8), we deduce that
and by taking the supremum over all in (9), we obtain the required result (6). □
Remark 1.
Let . We say that S is an A-accretive operator, if
Now, let If are such that either is A-accretive or , then by (6), we obtain
which gives
As an application of Theorem 1, we state the following result.
Corollary 1.
Let and be such that and
for any and every Then,
Proof.
Let . From Theorem 1, we have
for This gives,
By using the triangle and Cauchy–Schwarz inequalities, we have
Moreover, since
then, by applying (11) and (12), we obtain
for all
By taking the supremum over all in the last inequality and then using the identity in (3), we reach (10) as desired. □
An important application of the inequality (9) can be stated as follows.
Corollary 2.
Let and with for . Assume that for every , we have
Then,
Proof.
Let . By applying (9), we obtain
for
By summing over , we obtain
Finally, by taking the supremum over , we obtain
This establishes (14). □
The following lemma is needed for the sequel.
Lemma 1
([29] p. 9). Let and be such that
for all . Then,
We can now prove the next proposition.
Proposition 1.
Let and with . Assume that
Then,
Proof.
Assume that (16) is valid. Let and take for all . Then, we see that
for any
By using (15), we obtain
So, by taking the supremum over all , we obtain (17) as desired. □
We now have the following result.
Theorem 2.
Let If and are such that
Then,
Proof.
Let . It follows from (18) that
This implies that
Taking the supremum over in the last inequality, we obtain
Moreover, it is clear that
thus, by applying (19) and (20), we infer that
So, we immediately obtain the desired result. □
The following corollary is now in order.
Corollary 3.
Let and with Assume that
Then,
Proof.
According to the proof of Theorem 1, we observe that (21) is equivalent to
which is, in turn, equivalent to the following operator norm inequality:
Now, applying Theorem 2 for and , we deduce the desired result. □
Another sufficient condition under which the inequality (22) hold is presented in terms of A-positive operators and reads as follows.
Corollary 4.
Let with and If
then
Corollary 5.
Suppose that ν and r are as in Theorem 2. If, in addition,
for some then
Proof.
From the inequality (19), we see that
Hence, an application of (24) leads to the desired inequality. □
Remark 2.
If, in particular, with , then
Our next result reads as follows.
Theorem 3.
Let and with for If
for then
and
Proof.
Using Corollary 3, we have
for
Let , multiply by and sum to obtain
By the triangle inequality, we have
while by the Cauchy–Schwarz inequality, we obtain
and
From (28), we then obtain
for all
By taking the supremum over and using the representation (3), we obtain (26).
The inequality (25) is equivalent for to
for Therefore,
for
If we sum and apply the Cauchy–Schwarz inequality, we then obtain
On the other hand, an application of the arithmetic-geometric mean inequality shows that
Therefore, we deduce that
If we take the supremum over all , we obtain
which gives (27). Hence, the proof is complete. □
An immediate application of Theorem 3 is derived in the next corollary.
Corollary 6.
Let and with . Assume that
for . Then,
and
Now, we state in the next lemma a reverse of the Cauchy–Schwarz inequality (see for instance ([29] p. 32) for a more general result).
Lemma 2.
Under the same assumptions of Lemma 1, we have
We state our next result as follows.
Theorem 4.
Let and with . Assume that
Then,
Proof.
Let and with the property (32). By letting and then proceeding as in the proof of Proposition 1, we see that
for any So, by employing (31), we obtain
for every By taking the supremum over all in the last inequality, we reach the desired result. □
Remark 3.
Since then (30) implies (32).
Now, we aim to establish several reverse inequalities for the A-numerical radius of operators acting on semi-Hilbert spaces in both single and multivariable settings under some boundedness conditions for the operators. Our first new result in this context may be stated as follows.
Theorem 5.
Let be such that . If and are such that and
then
Proof.
By (19), we have
Dividing by , we obtain
Further, it is easy to verify that
So, by using (34), we deduce
which is immediately equivalent to (33). □
Remark 4.
(1) Squaring the inequality (33), we obtain the following inequality:
(2) For every operator , we have the relation (see [23]). Inequality (33) would produce an improvement of the above classic fact only in the case when
which is, in turn, equivalent to
The next corollary holds.
Corollary 7.
Let with Additionally, let be such that . Assume that either (21) or (23) holds. Then, we have
and
Proof.
If we consider and then
Now, by applying Theorem 5, we deduce the desired result. □
Remark 5.
If and then (35) is a refinement of the inequality
Corollary 8.
Let with . Additionally, let be such that the condition
is true for . Then,
Proof.
Notice, first, that since (36) holds, then we infer that
for any and all . Therefore, it follows from (35) that
for
Let , multiply by and sum to obtain
Therefore, we see that
By taking the supremum over and using the representation (3), we obtain (37). □
In the next result, we prove under appropriate conditions a new relation connecting the joint A-seminorms and .
Proposition 2.
Let with for all . Additionally, let be such that (25) is valid for Then,
Proof.
From (29), we obtain
for This is equivalent to
for
If we sum and then apply the Cauchy–Schwarz inequality, we then obtain
By applying the famous arithmetic–geometric mean inequality, we observe that
Therefore,
and by taking the supremum over , we obtain (38). □
Remark 6.
With the assumptions of Corollary 8, we can prove that
The following lemma plays a fundamental role in the proof of our next proposition.
Lemma 3
([29] p. 26). If and , with the property that and
for each then
By proceeding as in the proof of Theorem 4 and using Lemma 3, we state without proof the following result.
Proposition 3.
Let , with . Suppose that (32) is satisfied. Then,
The following result also holds.
Theorem 6.
Let and with If
then
Proof.
Let . It follows from (40) that
which yields that
By using (42), it can be seen that . So, by taking (42) into account, we obtain
Moreover, we see that
Since
and
then, we deduce that
which gives the inequality
By taking the supremum over in (43), we obtain
So, we immediately obtain (41). □
By making use of the inequalities (44) and (43), we are ready to establish the next two corollaries as applications of our previous result.
Corollary 9.
Let be such that and Additionally, let be such that either (4) or (5) holds. Then:
Proof.
Set and . Clearly, . Moreover, since (5) holds, then so is (40). So, the desired result follows by applying (44) and then observing that
□
Remark 7.
Assume that . If are such that either is A-accretive or
then, by applying (45), we infer that
Corollary 10.
Let and with , for . Assume that
for all . Then,
Proof.
Let . Set and for all . Clearly, we have and for every i. Thus, an application of (43) shows that
This yields, through (46), that
for
If we sum and then apply the Cauchy–Schwarz inequality, we then obtain
By taking the supremum over this inequality, we derive the desired result. □
Another application of the inequality (45) provides an upper bound for the Euclidean operator A-seminorm of d-tuples of operators in and stated in the next proposition.
Proposition 4.
Let . Let also with and . Suppose that
for any and all . Then,
Proof.
From (45), we see that
for
Let , multiply by and sum to obtain
Moreover, since
hence
By taking the supremum over and using the representation (3), we obtain the desired result. □
The next lemma plays a crucial role in establishing our final result in this paper.
Lemma 4
([30]). If are such that and
for each then we have
Now, we are ready to state our final proposition.
Proposition 5.
Let and let be such that . Assume that the condition (16) is valid. Then,
Proof.
The proof follows by proceeding as in the proof of Proposition 2 and then taking Lemma 4 into consideration. □
3. Conclusions
In this paper, we established several inequalities involving the generalized Euclidean operator radius of d-tuples of A-bounded linear operators acting on a complex Hilbert space . The obtained bounds lead to the special case of the classical A-numerical radius of semi-Hilbert space operators. We proved also some estimates related to the Euclidean operator A-seminorm of d-tuples of A-bounded operators. In addition, we stated, under appropriate conditions, several reverse inequalities for the A-numerical radius in single and multivariable setting.
These inequalities can be further utilized to provide reverse triangle inequalities for the operator A-seminorm and A-numerical radius of semi-Hilbert space operators that play an important role in the geometrical structure of the A-inner product space under consideration.
Additionally, the techniques and ideas of this article can be useful for future investigations in this area of research. In future papers, we aim to investigate the connections between the joint A-numerical radius and joint operator A-seminorm of some special classes of multivariable operators such that the class of jointly A-hyponormal operators in semi-Hilbert spaces.
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
Distinguished Scientist Fellowship Program, King Saud University, Riyadh, Saudi Arabia, Researchers Supporting Project number (RSP2023R187).
Data Availability Statement
Data is contained within the article.
Acknowledgments
The authors wish to express their deepest gratitude to the editor and the anonymous referees for their useful comments. 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).
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bhunia, P.; Dragomir, S.S.; Moslehian, M.S.; Paul, K. Lectures on Numerical Radius Inequalities; Infosys Science Foundation Series in Mathematical Sciences; Springer: Berlin/Heidelberg, Germany, 2022. [Google Scholar]
- Baklouti, H.; Namouri, S. Spectral analysis of bounded operators on semi-Hilbertian spaces. Banach J. Math. Anal. 2022, 16, 12. [Google Scholar] [CrossRef]
- Baklouti, H.; Namouri, S. Closed operators in semi-Hilbertian spaces. Linear Multilinear Algebra 2022, 70, 5847–5858. [Google Scholar] [CrossRef]
- Bhunia, P.; Kittaneh, F.; Paul, K.; Sen, A. Anderson’s theorem and A-spectral radius bounds for semi-Hilbertian space operators. Linear Algebra Appl. 2023, 657, 147–162. [Google Scholar] [CrossRef]
- Kittaneh, F.; Zamani, A. Bounds for A-numerical radius based on an extension of A-Buzano inequality. J. Comput. Appl. Math. 2023, 426, 115070. [Google Scholar] [CrossRef]
- Kittaneh, F.; Zamani, A. A refinement of A-Buzano inequality and applications to A-numerical radius inequalities. Linear Algebra Appl. 2023, in press. [Google Scholar] [CrossRef]
- Arias, M.L.; Corach, G.; Gonzalez, M.C. Partial isometries in semi-Hilbertian spaces. Linear Algebra Appl. 2008, 428, 1460–1475. [Google Scholar] [CrossRef]
- Douglas, R.G. On majorization, factorization and range inclusion of operators in Hilbert space. Proc. Amer. Math. Soc. 1966, 17, 413–416. [Google Scholar] [CrossRef]
- Arias, M.L.; Corach, G.; Gonzalez, M.C. Metric properties of projections in semi-Hilbertian spaces. Integral Equ. Oper. Theory 2008, 62, 11–28. [Google Scholar] [CrossRef]
- Arias, M.L.; Corach, G.; Gonzalez, M.C. Lifting properties in operator ranges. Acta Sci. Math. 2009, 75, 635–653. [Google Scholar]
- Feki, K. Spectral radius of semi-Hilbertian space operators and its applications. Ann. Funct. Anal. 2020, 11, 929–946. [Google Scholar] [CrossRef]
- Abu-Omar, A.; Kittaneh, F. A generalization of the numerical radius. Linear Algebra Appl. 2019, 569, 323–334. [Google Scholar] [CrossRef]
- Moradi, H.R.; Sababheh, M. More accurate numerical radius inequalities (II). Linear Multilinear Algebra 2021, 69, 921–933. [Google Scholar] [CrossRef]
- Moradi, H.R.; Sababheh, M. New estimates for the numerical radius. Filomat 2021, 35, 4957–4962. [Google Scholar] [CrossRef]
- Sababheh, M.; Moradi, H.R. More accurate numerical radius inequalities (I). Linear Multilinear Algebra 2021, 69, 1964–1973. [Google Scholar] [CrossRef]
- Sababheh, M. Heinz-type numerical radii inequalities. Linear Multilinear Algebra 2019, 67, 953–964. [Google Scholar] [CrossRef]
- Omidvar, M.E.; Moradi, H.R. New estimates for the numerical radius of Hilbert space operators. Linear Multilinear Algebra 2021, 69, 946–956. [Google Scholar] [CrossRef]
- Omidvar, M.E.; Moradi, H.R. Better bounds on the numerical radii of Hilbert space operators. Linear Algebra Appl. 2020, 604, 265–277. [Google Scholar] [CrossRef]
- Sattari, M.; Moslehian, M.S.; Shebrawi, K. Extension of Euclidean operator radius inequalities. Math. Scand. 2017, 20, 129–144. [Google Scholar]
- Sheybani, S.; Sababheh, M.; Moradi, H.R. Weighted inequalities for the numerical radius. Vietnam J. Math. 2023, 51, 363–377. [Google Scholar] [CrossRef]
- Sheikhhosseini, A.; Khosravi, M.; Sababheh, M. The weighted numerical radius. Ann. Funct. Anal. 2022, 13, 3. [Google Scholar] [CrossRef]
- Yamazaki, T. On upper and lower bounds of the numerical radius and an equality condition. Studia Math. 2007, 178, 83–89. [Google Scholar] [CrossRef]
- Baklouti, H.; Feki, K.; Ahmed, O.A.M.S. Joint numerical ranges of operators in semi-Hilbertian spaces. Linear Algebra Appl. 2018, 555, 266–284. [Google Scholar] [CrossRef]
- Chō, M.; Takaguchi, M. Boundary points of joint numerical ranges. Pac. J. Math 1981, 95, 27–35. [Google Scholar] [CrossRef]
- Müller, V. On joint numerical radius. Proc. Am. Math. Soc. 2014, 142, 1371–1380. [Google Scholar] [CrossRef]
- Drnovšek, R.; Müller, V. On joint numerical radius II. Linear Multilinear Algebra 2014, 62, 1197–1204. [Google Scholar] [CrossRef]
- Popescu, G. Unitary invariants in multivariable operator theory. Mem. Am. Math. Soc. 2009, 200, vi+91. [Google Scholar] [CrossRef]
- Altwaijry, N.; Feki, K.; Minculete, N. A new seminorm for d-tuples of A-bounded operators and its applications. Mathematics 2023, 11, 685. [Google Scholar] [CrossRef]
- Dragomir, S.S. Advances in Inequalities of the Schwarz, Grüss and Bessel Type in Inner Product Spaces; Nova Science Publishers, Inc.: Hauppauge, NY, USA, 2005. [Google Scholar]
- Dragomir, S.S. Reverses of the Schwarz inequality generalising the Klamkin-McLeneghan result. Bull. Austral. Math. Soc. 2006, 73, 69–78. [Google Scholar] [CrossRef]
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