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.
MSC:
47A12; 47A30; 47A63
1. Introduction
Let be the Banach algebra of all bounded linear operators defined on a complex Hilbert space with the identity operator . For a bounded linear operator M on a Hilbert space , the numerical range is the image of the unit sphere of under the quadratic form associated with the operator. More precisely,
Moreover, the numerical radius is defined to be
We recall that the usual operator norm of an operator T is defined to be
It is well known that defines an operator norm on that is equivalent to the operator norm . Moreover, we have
for any .
The Euclidean operator radius of an n-tuple was introduced by Popsecu in [], where . The Euclidean operator radius of is defined by
Indeed, the Euclidean operator radius was generalized in [] as follows:
If , then (in addition, it is denoted by ) is called the Rhombic numerical radius, which has been studied in []. In particular, if , then it is interesting that , where is the numerical radius of P.
We note that the inequality
holds for all ; see [].
In addition, Popescu [] proved that
Since , we have
Note that the case of was studied by Dragomir in [], and he obtained some interesting results regarding the Euclidean operator radius of two operators .
The Euclidean operator radius was generalized in [] as follows:
In [], Moslehian, Sattari, and Shebrawi proved several inequalities regarding n-tuple operators . In particular, they proved the following two results:
and
for and . For the case , (5) and (6) studied upper bounds for the Euclidean operator radius . It should be noted that in case and , then (5) reduces to the main result in [].
An inequality for a product of two Hilbert space operators was also deduced in [], as follows:
for all and . This inequality generalizes and extends the result in [].
In [], Sheikhhosseini, Moslehian, and Shebrawi refined the above two inequalities by proving the following two results, respectively,
where
and
where
For further inequalities of the Euclidean operator radius combined with several basic properties, the reader may refer to [,,,,]. For more generalization, counterparts, and recent related results, the reader may refer to [,,,,,,,,].
In [], Alomari proved the following version of the Euclidean operator radius, which generalized the celebrated Kittaneh inequality [].
for all and . In particular, we have
This article proves several new inequalities for the Euclidean operator radius . 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 , and this gives an extension and refinements of (5) and (7) when . Our new inequalities are devoted to refining the Euclidean operator radius . A similar approach could be used to refine several inequalities for . 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
([]). The Power-Mean inequality states that
for all , and .
Lemma 2
The following result generalizes and refines Kato’s inequality or the so-called mixed Schwarz inequality [].
Lemma 3
([]). [Lemma 5] Let , and . Then,
for all .
Corollary 1.
Let , . Then,
Proof.
Setting in (12). □
Lemma 4
([]). Let . Then,
for any vectors and all .
Lemma 5
([]). Let . Then,
for any vectors .
Lemma 6
([]). [Theorem 2.3] Let f be a non-negative convex function on , and let be two positive operators. Then,
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 . Then,
for all and .
Proof.
Let be a unit vector. We set and in the first inequality in (14). Employing the AM–GM inequality, the convexity of , and using Lemma 2, we obtain
Taking the summation over up to n for both sides, we have
Applying the Cauchy–Schwarz inequality to real numbers and then applying Lemma 2, we obtain
Again, by applying the convexity of , we obtain
Taking the supremum over all unit vectors , we obtain the desired result in (17). □
Corollary 2.
Let . Then,
for all .
Proof.
Setting in (17). □
Theorem 2.
Let . Then,
for all .
Proof.
Form the proof of Theorem 1. Since ) for subadditive for all , then we have
Taking the supremum over all unit vectors , 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 , and . Then,
Proof.
Now, we present some inequalities concerning the numerical radius of Hilbert space operators beginning with generalizing (15).
Theorem 4.
Let . Then,
for all . In particular, we have
Proof.
Summing over k, we obtain
Example 1.
Corollary 3.
Let . Then,
for all . In particular, we have
Theorem 5.
Let . Then,
for all .
Proof.
Let be a unit vector. Setting in (13), it follows that
Summing over up to and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
Taking the supremum over all unit vectors , we obtain the required result in (25). □
The following result extends and generalizes the Kittaneh–Moradi inequality [] for the Euclidean operator radius.
Corollary 4.
Let . Then,
for all .
Example 2.
Let and be -matrices. Employing (26) with , and , we obtain
However,
A refinement of (6) with is incorporated in the following result.
Theorem 6.
Let . Then,
for all .
Proof.
Let be a unit vector. Setting in (13), it follows that
Summing over up to and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
Taking the supremum over all unit vectors , we obtain the first in (27).
To obtain the second inequality from the first inequality, we have
which proves the required result. □
A refinement of (5) with is incorporated in the following result.
Theorem 7.
Let . Then,
for all .
Proof.
Let be a unit vector. Setting and in (13), it follows that
Summing over up to and then applying the Cauchy–Schwarz inequality for real numbers, we have
Taking the supremum over all unit vectors , we obtain the required result. □
Corollary 5.
Let . Then,
for all and .
Proof.
From (28), we have
as required. □
The following two results extend the generalized Kittaneh–Moradi inequality (26).
Theorem 8.
Let . Then,
for all .
Proof.
Let be a unit vector. Setting in (12) with , it follows that
Summing over up to , and then applying the Cauchy–Schwarz inequality for real numbers, we obtain
We obtain the required result by taking the supremum over all unit vectors . □
Alomari [] proved a refinement of Kittaneh–Moradi [], which is better than the result of Kittaneh and Moradi. An extension of Alomari’s inequality (3.9, Ref. []) to the Euclidean operator radius is considered in the following result.
Theorem 9.
Let . Then,
for all . In particular, we have
Proof.
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.
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
for any . Clearly, the projection of the set on the first coordinate is .
The Davis–Wielandt shell and its radius were introduced and described firstly by Davis in [,] and Wielandt []. The Davis–Wielandt radius of is defined as
One can easily check that is unitarily invariant, but it does not define a norm on .
It is shown that []
for all . The inequalities are sharp. For further results concerning Davis–Wielandt radius inequalities, the reader may refer to [,,,,,,,,,,,,,].
The Euclidean Davis–Wielandt radius has been introduced in []. In fact, for an n-tuple , i.e., for , one of the most interesting generalizations of the Davis–Wielandt radius is the Euclidean Davis–Wielandt radius, which is defined as
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 . Therefore, we have
Let . Define the sequence of operators in terms of , such that
Now, we have
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
([]). [Theorem 3.4] Let . Then,
One can generalize the results in Section 3 by following the same procedure above. A very powerful inequality has been proven recently by Alomari [], as follows:
We finish our results by obtaining a new bound for the Davis–Wielandt radius . To do so, we need the following observation.
Lemma 7
([]). [Lemma 2] Let . Then,
Theorem 11.
Let . Then,
Proof.
Replacing P with in Lemma 5, we obtain
Summing over k, we obtain
Taking the supremum over all unit vectors , we have
For , we have
Now, setting and in (38), by Lemma 7, we have
However, since
Then, the inequality (36) follows from the previous inequality. □
Example 4.
Let be -matrix. Employing (31), we have
which is better than both estimates given in (32) (= and in (34) (=. It is convenient to note that, according to (32), the lower bound of . Fortunately, the definition of the Davis–Wielandt radius gives
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 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 . 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 ; 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
- Popescu, G. Unitary invariants in multivariable operator theory. Mem. Am. Math. Soc. 2009, 200, 941. [Google Scholar] [CrossRef]
- 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]
- 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]
- Alomari, M.W.; Shebrawi, K.; Chesneau, C. Some generalized Euclidean operator radius inequalities. Axioms 2022, 11, 285. [Google Scholar] [CrossRef]
- Moslehian, M.S.; Sattari, M.; Shebrawi, K. Extension of Euclidean operator radius inequalities. Math. Scand. 2017, 120, 129–144. [Google Scholar] [CrossRef]
- 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]
- Kittaneh, F. Numerical radius inequalities for Hilbert space operators. Studia Math. 2005, 168, 73–80. [Google Scholar] [CrossRef]
- 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]
- 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]
- Altwaijry, N.; Feki, K.; Minculete, N. On some generalizations of Cauchy–Schwarz inequalities and their applications. Symmetry 2023, 15, 304. [Google Scholar] [CrossRef]
- Altwaijry, N.; Feki, K. Minculete, Further inequalities for the weighted numerical radius of operators. Mathematics 2022, 10, 3576. [Google Scholar] [CrossRef]
- 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]
- 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]
- Bhunia, P.; Paul, K. Some improvements of numerical radius inequalities of operators and operator matrices. Linear Multilinear Algebra 2020. [Google Scholar] [CrossRef]
- 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]
- 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]
- 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]
- 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]
- Alomari, M.W. On the Davis–Wielandt radius inequalities of Hilbert space operators. Linear Multilinear Algebra 2022, 1–25. [Google Scholar] [CrossRef]
- 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]
- Mitrinović, D.S.; Pečarić, J.; Fink, A.M. Classical and New Inequalities in Analysis; Kluwer Academic Publishers: Dordrecht, The Netherlands, 1993. [Google Scholar]
- 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]
- Kato, T. Notes on some inequalities for linear operators. Math. Ann. 1952, 125, 208–212. [Google Scholar] [CrossRef]
- Alomari, M.W. On Cauchy–Schwarz type inequalities and applications to numerical radius inequalities. Ricerche Mat. 2022, 1–18. [Google Scholar] [CrossRef]
- 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]
- Aujla, J.; Silva, F. Weak majorization inequalities and convex functions. Linear Algebra Appl. 2003, 369, 217–233. [Google Scholar] [CrossRef]
- 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]
- Davis, C. The shell of a Hilbert-space operator. Acta Sci. Math. 1968, 29, 69–86. [Google Scholar]
- Davis, C. The shell of a Hilbert-space operator. II. Acta Sci. Math. 1970, 31, 301–318. [Google Scholar]
- Wielandt, H. On eigenvalues of sums of normal matrices. Pacific J. Math. 1955, 5, 633–638. [Google Scholar] [CrossRef]
- 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]
- Alomari, M.W. Numerical radius inequalities for Hilbert space operators. Complex Anal. Oper. Theory 2021, 15, 1–19. [Google Scholar] [CrossRef]
- 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]
- 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]
- Li, C.K.; Poon, Y.T. Davis–Wielandt shells of normal operators. Acta Sci. Math. 2009, 75, 289–297. [Google Scholar]
- 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]
- Li, C.K.; Poon, Y.T.; Sze, N.S. Davis–Wielandt, Shells of operators. Oper. Matrices 2008, 2, 341–355. [Google Scholar] [CrossRef]
- 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]
- 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]
- 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]
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