Abstract
This paper deals with the so-called A-numerical radius associated with a positive (semi-definite) bounded linear operator A acting on a complex Hilbert space . Several new inequalities involving this concept are established. In particular, we prove several estimates for operator matrices whose entries are A-bounded operators. Some of the obtained results cover and extend well-known recent results due to Bani-Domi and Kittaneh. In addition, several improvements of the generalized Kittaneh estimates are obtained. The inequalities given by Feki in his work represent a generalization of the inequalities given by Kittaneh. Some refinements of the inequalities due to Feki are also presented.
MSC:
46C05; 47B65; 47A05; 47A12
1. Introduction
Along this work denotes a complex Hilbert space with associated norm . Let be the algebra of all bounded linear operators acting on . An operator is said to be positive (denoted by ) if for all . For every operator , its range is denoted by , its null space by , and its adjoint by . By , we mean the closure of with respect to the norm topology of . Throughout this paper, we retain the notation A for a nonzero positive operator on which clearly induces the following positive semidefinite sesquilinear form
The seminorm on induced by is given by , for every We remark that is a norm on if and only if A is an injective operator, i.e., . In addition, the semi-Hilbert space is complete if, and only if, is closed in Next, when we use an operator, it means that it is an operator in . For recent contributions related to operators acting on the A-weighted space , the readers may consult [1,2,3]. Before we proceed further, we recall that induces on the quotient an inner product which is not complete unless is closed in . On the other hand, it was proved in [4] (see also [5]) that the completion of is isometrically isomorphic to the Hilbert space endowed with the following inner product
where stands for the orthogonal projection onto . Notice that the Hilbert space will be simply denoted by . Let us emphasize that is dense in (see [6]). More results related involving the Hilbert space can be found in [6] and the references therein. An application of (1) gives
The numerical range and the numerical radius of are defined by , and , respectively. It is well known that the numerical radius of Hilbert space operators plays an important role in various fields of operator theory and matrix analysis (cf. [7,8,9,10]). Recently, several generalizations for the concept of have been introduced (cf. [11,12,13]). One of these generalizations is the so-called A-numerical radius of an operator , which was firstly defined by Saddi in [14] as
For an account of the recent results related to the A-numerical radius, we refer the reader to [15,16,17,18,19] and the references therein. If is a -operator matrix with for all , then (3) can be written as:
In addition, Zamani defined in [20] the notion of A-Crawford number of an operator T as follows:
Zamani used this notion in [20] in order to derive some improvements of inequalities related to .
Before continuing, let us recall from [21] the concept of A-adjoint operator. For , an operator is said to be an A-adjoint operator of T if for all ; that is, S is the solution in of the equation . This kind of operator equations may be investigated by using the well-known Douglas theorem [22]. Briefly, this theorem says that equation has a solution if and only if . This, in turn, equivalent to the existence of some positive constant such that for all . Furthermore, among its many solutions, there is only one, denoted by Q, which satisfies . Such Q is called the reduced solution of . Let and denote the sets of all operators that admit A-adjoints and -adjoints, respectively. An application of Douglas theorem shows that
and
We remark that and are two subalgebras of which are neither closed nor dense in . It is easy to see that the following property is satisfied: (see [18]). The operators from are called A-bounded. If , then the “reduced” solution of the equation is a distinguished A-adjoint operator of T, which will be denoted by . Observe that . Here, denotes the Moore–Penrose inverse of the operator A. Notice that if , then , and . Further results involving the operator and the theory of the Moore–Penrose inverse of Hilbert space operators can be found in [2,21,23] and the references therein. We equip with the following seminorm
(see [18] and the references therein). Let us emphasize here that it may happen that for some (see [18]). It is pertinent to point out that if, and only if, It can be observed that for , if and only if . Moreover, it is not difficult to see that for , it holds that for all . This yields that
An operator is called A-selfadjoint if . Moreover, it was proved in [18] that if T is A-selfadjoint, then
In addition, Baklouti et al. showed in [24] that for an A-selfadjoint operator T, it holds
where denotes the set all positive integers. Furthermore, if , then T is called A-positive and we write . Baklouti et al. [15] obtained the following A-numerical radius inequality for :
The first inequality in (8) becomes an equality if and the second inequality becomes an equality if T is A-selfadjoint (see [18]). Several authors improved recently the inequalities (8) (see, e.g., [16,25] and the references therein). In particular, the second author of this paper proved in [26] Theorem 2.5 that
Obviously, for , we obtain the well-known inequalities due to Kittaneh (see [27] Theorem 1).
The main objective of the present paper is to present a few new -numerical radius inequalities for operator matrices. In Theorem 1, we obtain a bound for the -numerical radius for the operator matrix. By particularization, we deduce an improvement of the second inequality (9). Another bound for -numerical radius for the operator matrix is given in Theorem 2. Next, we present an improvement of the Cauchy–Schwarz inequality type using the inner product . This result is used to find a new bound for -numerical radius of operator matrix . Applying the Bohr inequality, we deduce another new bound for the -numerical radius for the operator matrix. In addition to these, we aim to establish an alternative and easy proof of the generalized Kittaneh inequalities (9). In addition, several improvements of the first inequality in (9) are established.
2. Main Results
To establish our first main result in the present work, we require the following two lemmas.
Lemma 1
([28]). Let . Then, the following assertions hold
- (i)
- .
- (ii)
- .
- (iii)
- .
Lemma 2
([14]). Let be such that . Then
Now, we can prove the following result, which generalizes Theorem 2.1 in [29].
Theorem 1.
Let . Then,
Proof.
Let be such that . One has
where the last equality follows by using Lemma 1 (i) and (iii). So, by applying (10) together with the Cauchy–Schwarz inequality, we obtain
where the last equality follows by using Lemma 1 (iii). Furthermore, by taking again Lemma 1 (iii) into consideration and the fact that for all operator matrix , we see that
By applying the arithmetic–geometric mean inequality, we obtain
This implies that
Furthermore, it can be verified that is -positive. So, by applying the Cauchy–Schwarz inequality, we obtain
Thus, an application of Lemma 1 (ii) gives
So, by taking the supremum over with in the last inequality, we obtain the desired result. □
By letting , we obtain the following corollary which considerably improves the second inequality in (9) and was already proved by the present author in [26]. Notice that this corollary is also stated by Bhunia et al. in [30] when A is an injective linear operator.
Corollary 1.
Let . Then
In order to prove our next result which generalizes Theorem 2.1 in [29], we need the following two lemmas. The first one follows immediately by using Lemma 3.1 in [29] and the second is recently proved in [31].
Lemma 3.
Let be such that . Then
Lemma 4.
Let be such that . Then, for every with we have
Now, we are ready to prove the following theorem.
Theorem 2.
Let be such that . Then,
where and .
Proof.
Let be such that . One has
where the last inequality follows by applying the convexity of the function with . This implies, by taking Lemma 1 (i) into consideration, that
On the other hand, let . By using Lemma 3, we obtain
where the last inequality follows by applying the arithmetic–geometric mean inequality. Now, since and are -positive, then an application of Lemma 4 with gives
A short calculation reveals that
and
Hence, by applying Lemma 1 (i) and (ii), we infer that
where and . So, we obtain
This proves the desired by letting the supremum over be such that in the last inequality. □
Next, we present a result which is an improvement of the inequality of Cauchy–Schwarz type,
where , similar to a result of [32]; thus:
Lemma 5.
Let . Then
for any .
Proof.
Using inequality , we deduce that
for any and .
Multiplying by in the above inequality, we have that
and using again inequality , we deduce that the inequality of the statement is true. □
Remark 1.
Inequality (13) can be written as:
for any and .
Theorem 3.
Let and . Then, the inequality
holds.
Proof.
We take the first inequality from Lemma:
for any and . Because we need to apply the inequality Hölder–McCarthy for positive operators, it is easy to see that the operators and are positive. Now, we replace and by and , in the above inequality, and we assume that ; then, we obtain
So, we obtain
Taking the supremum over with in the above inequality, we obtain the inequality of the statement. □
Remark 2.
Through various particular cases of λ in Theorem, we obtain some results, thus: for in the inequality of (14), we deduce inequality
and for , we find inequality
Corollary 2.
Let and . Then, the inequality
holds.
Proof.
Let and . By using Lemma 1 (iii), we obtain
Therefore, we obtain .
Applying relation (ii) from Lemma 1, we find
Using Theorem 3 and the above results, we deduce the inequality of the statement. □
Theorem 4.
Let . Then,
where , with
Proof.
Let be such that . We use the classical Bohr inequality [33]
where , with and
Therefore, we have
However, we have the inequality given by Xu et al. in [28]:
for all .
Therefore, we proved the inequality of the statement. □
Our next goal consists of deriving an alternative and easy proof of the generalized Kittaneh inequalities (9). In all that follows, for any arbitrary operator , we write and In order to provide the alternative proof of (9), we require the following two lemmas.
Lemma 6
([25]). Let be an A-selfadjoint operator. Then, for all .
Lemma 7
([20,25]). Let . Then
Now, we are ready to derive our proof in the next result.
Theorem 5
([26]). Let . Then,
Proof.
Let . By making simple computations, we see that
Since is an A-selfadjoint operator, then by Lemma 6, we deduce that . So, in view of (16), we infer that
This implies that
for all . Moreover, since is an A-selfadjoint operator, then by taking into account (17), it can be seen that
for all . Furthermore, clearly, we have . So, by taking the supremum over all with in (18) and then using (4) and (6), we obtain
Therefore, by taking the supremum over all in the above inequality and then applying Lemma 7, we obtain
On the other hand, by taking in (16), we obtain
This implies that
Hence, we obtain
The following lemma plays a crucial rule in proving our next result.
Lemma 8.
Let be A-positive operators. Then,
To prove Lemma 8, we need the following two results.
Lemma 9
([5,6]). Let . Then if and only if there exists a unique such that . Here, is defined by . Furthermore, the following properties hold
- (i)
- for every .
- (ii)
- and for every .
Lemma 10
([34]). Let be such that and . Then
Now, we are in a position to prove Lemma 8.
Proof of Lemma 8.
Notice first that since T and S are A-positive, then clearly T and S are A-selfadjoint. This implies that . Thus, by Lemma 9, there exist two unique operators and in such that and . Furthermore, since , then for all . So, by taking (2) into consideration, we see that
On the other hand, the density of in yields that
Therefore, the operator is positive on the Hilbert space . By using similar arguments, one may prove that is also positive on . So, by applying (21) together with Lemma 9, we observe that
This proves the desired result. □
Now, we are able to establish the next result which provides a refinement of the first inequality in (9). The inspiration for our investigation comes from [35].
Theorem 6.
Let . Then
Proof.
Notice first that a short calculation reveals that
Moreover, one may immediately check that the operators and are A-selfadjoint. Thus, by Lemma 6, we deduce that and . Therefore, an application of (22) together with Lemma (8) ensures that
where the last inequality follows by using (5). In addition, since the operators and are A-selfadjoint, then by applying (7), we obtain
On the other hand, let be such that . Clearly, T can be decomposed as . Notice that and are A-selfadjoint operators. This implies that and are real numbers. Furthermore, we see that
This implies, by taking the supremum over all with in the last inequality, that
Similarly, it can be proved that
This finishes the proof of our result. □
By using the inequalities (24) and (25), we derive in the next theorem another improvement of the first inequality in Theorem 5: .
Theorem 7.
Let . Then
Our next result provides also another refinement of the first inequality in Theorem 5.
Theorem 8.
Let . Then
where
Proof.
Remark 3.
The inequalities from Theorem 5 given by Feki in [26] represent a generalization of the inequalities given by Kittaneh [27]. In Theorems 6 and 7, we present some refinements of the inequalities due to Feki.
3. Conclusions
The main objective of the present paper is to present a few new -numerical radius inequalities for operator matrices. In Theorem 1, we obtain a bound for the -numerical radius for the operator matrix. We use an inequality of Buzano type (see Lemma 2) to estimate the -numerical radius of an operator , where . By particularization, we deduce an improvement of the second inequality (9). Another bound for -numerical radius for the operator matrix is given in Theorem 2. Next, we present an improvement of the Cauchy–Schwarzv inequality type using the inner product . This result is used to find a new bound for the -numerical radius of operator matrix . Applying the Bohr inequality, we deduce another new bound for the -numerical radius for the operator matrix. In addition to these, we aim to establish an alternative and easy proof of the generalized Kittaneh inequalities (9). We also give a lemma which plays a crucial rule in proving a result concerning to norm (see Lemma 8). Finally, we establish some improvements of the well-known inequalities due to Kittaneh (see [27] Theorem 1) and generalized by Feki in [26]. In the future, we will study better estimates of the -numerical radius for the operator matrix and we will study new inequalities involving the Berezin norm and Berezin number of bounded linear operators in Hilbert and semi-Hilbert space. We can also define the A-Berezin norm and number.
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 their appreciation to the Distinguished Scientist Fellowship Program at King Saud University, Riyadh, Saudi Arabia, for funding this work through Researchers Supporting Project number (RSP-2021/187).
Data Availability Statement
Not applicable.
Acknowledgments
The authors want to thank the anonymous reviewers and editor for their careful reading of the manuscript and for many valuable remarks and suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Baklouti, H.; Namouri, S. Closed operators in semi-Hilbertian spaces. Linear Multilinear Algebra 2021, 1–12. [Google Scholar] [CrossRef]
- Baklouti, H.; Namouri, S. Spectral analysis of bounded operators on semi-Hilbertian spaces. Banach J. Math. Anal. 2022, 16, 12. [Google Scholar] [CrossRef]
- Enderami, S.M.; Abtahi, M.; Zamani, A. An Extension of Birkhoff–James Orthogonality Relations in Semi-Hilbertian Space Operators. Mediterr. J. Math. 2022, 19, 234. [Google Scholar] [CrossRef]
- de Branges, L.; Rovnyak, J. Square Summable Power Series; Holt, Rinehert and Winston: New York, NY, USA, 1966. [Google Scholar]
- Feki, K. On tuples of commuting operators in positive semidefinite inner product spaces. Linear Algebra Appl. 2020, 603, 313–328. [Google Scholar] [CrossRef]
- Arias, M.L.; Corach, G.; Gonzalez, M.C. Lifting properties in operator ranges. Acta Sci. Math. (Szeged) 2009, 75, 635–653. [Google Scholar]
- Bottazzi, T.; Conde, C. Generalized numerical radius and related inequalities. Oper. Matrices 2021, 15, 1289–1308. [Google Scholar] [CrossRef]
- Goldberg, M.; Tadmor, E. On the numerical radius and its applications. Linear Algebra Appl. 1982, 42, 263–284. [Google Scholar] [CrossRef]
- Chakraborty, B.; Ojha, S.; Birbonshi, R. On the numerical range of some weighted shift operators. Linear Algebra Appl. 2022, 640, 179–190. [Google Scholar] [CrossRef]
- Yan, T.; Hyder, J.; Akram, M.S.; Farid, G.; Nonlaopon, K. On Numerical Radius Bounds Involving Generalized Aluthge Transform. J. Funct. Spaces 2022, 2022, 2897323. [Google Scholar] [CrossRef]
- Abu-Omar, A.; Kittaneh, F. A generalization of the numerical radius. Linear Algebra Appl. 2019, 569, 323–334. [Google Scholar] [CrossRef]
- Sheikhhosseini, A.; Khosravi, M.; Sababheh, M. The weighted numerical radius. Ann. Funct. Anal. 2022, 13, 1–15. [Google Scholar] [CrossRef]
- Zamani, A.; Wójcik, P. Another generalization of the numerical radius for Hilbert space operators. Linear Algebra Appl. 2021, 609, 114–128. [Google Scholar] [CrossRef]
- Saddi, A. A-Normal operators in Semi-Hilbertian spaces. Aust. J. Math. Anal. Appl. 2012, 9, 1–12. [Google Scholar]
- 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]
- Bhunia, P.; Paul, K.; Nayak, R.K. On inequalities for A-numerical radius of operators. Electron. J. Linear Algebra 2020, 36, 143–157. [Google Scholar]
- Bhunia, P.; Nayak, R.K.; Paul, K. Refinements of A-numerical radius inequalities and their applications. Adv. Oper. Theory 2020, 5, 1498–1511. [Google Scholar] [CrossRef]
- Feki, K. Spectral radius of semi-Hilbertian space operators and its applications. Ann. Funct. Anal. 2020, 11, 929–946. [Google Scholar] [CrossRef]
- Kittaneh, F.; Sahoo, S. On A-numerical radius equalities and inequalities for certain operator matrices. Ann. Funct. Anal. 2021, 12, 52. [Google Scholar] [CrossRef]
- Zamani, A. A-numerical radius inequalities for semi-Hilbertian space operators. Linear Algebra Appl. 2019, 578, 159–183. [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. Am. 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]
- Baklouti, H.; Feki, K.; Ahmed, O.A.M.S. Joint normality of operators in semi-Hilbertian spaces. Linear Multilinear Algebra 2020, 68, 845–866. [Google Scholar] [CrossRef]
- Feki, K. A note on the A-numerical radius of operators in semi-Hilbert spaces. Arch. Math. 2020, 115, 535–544. [Google Scholar] [CrossRef]
- Feki, K. Some numerical radius inequalities for semi-Hilbert space operators. J. Korean Math. Soc. 2021, 58, 1385–1405. [Google Scholar] [CrossRef]
- Kittaneh, F. Numerical radius inequalities for Hilbert space operators. Stud. Math. 2005, 168, 73–80. [Google Scholar] [CrossRef]
- Xu, Q.; Ye, Z.; Zamani, A. Some upper bounds for the A-numerical radius of 2×2 block matrices. Adv. Oper. Theory 2021, 6, 1–13. [Google Scholar] [CrossRef]
- Bani-Domi, W.; Kittaneh, F. Norm and numerical radius inequalities for Hilbert space operators. Linear Multilinear Algebra 2021, 69, 934–945. [Google Scholar] [CrossRef]
- Bhunia, P.; Paul, K. Some improvements of numerical radius inequalities of operators and operator matrices. Linear Multilinear Algebra 2022, 70, 1995–2013. [Google Scholar] [CrossRef]
- Conde, C.; Feki, K. On some inequalities for the generalized joint numerical radius of semi-Hilbert space operators. Ricerche Mat 2021, 1–19. [Google Scholar] [CrossRef]
- Alomari, M.W. On Cauchy–Schwarz type inequalities and applications to numerical radius inequalities. Ricerche Mat 2021. [Google Scholar] [CrossRef]
- Bohr, H. Zur Theorie der fastperiodischen Funktionen I. Acta Math. 1924, 45, 29–127. [Google Scholar] [CrossRef]
- Davidson, K.; Power, S.C. Best approximation in C*-algebras. J. Reine Angew. Math. 1986, 368, 43–62. [Google Scholar]
- Bhunia, P.; Jana, S.; Moslehian, M.S.; Paul, K. Improved inequalities for the numerical radius via Cartesian decomposition. arXiv 2021, arXiv:2110.02499. [Google Scholar] [CrossRef]
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