Abstract
In this paper, we have developed new estimates of some estimates involving the Berezin norm and Berezin number of bounded linear operators defined on a reproducing kernel Hilbert space . The uniqueness or novelty of this article consists of new estimates of Berezin numbers for different types of operators. These estimates improve the upper bounds of the Berezin numbers obtained by other similar papers. We give several upper bounds for , where and . We also present an estimation of where , and . Some of the obtained inequalities represent improvements to earlier ones. In this work, the ideas and methodologies presented may serve as a starting point for future investigation in this field.
MSC:
47A30; 15A60; 47A12
1. Introduction
In the literature related to operator theory, the Berezin norm and Berezin number of an operator have been studied for their many applications in engineering, quantum computing, quantum mechanics, numerical analysis, differential equations, etc. To characterize the Berezin number and the Berezin norm, we first present some concepts and properties of bounded linear operators on a Hilbert space.
Let be a complex Hilbert space, endowed with the inner product and associated norm . Let denote the -algebra of all bounded linear operators on . An operator is called positive if for all , and then we write . If a bounded linear operator T on is positive, then there exists a unique positive bounded linear operator denoted by such that . Furthermore, the absolute value of T, denoted by , is defined by . We remark that . For , we have the following numerical values: the operator norm given by and the numerical radius of the operator T defined by . It is easy to see that . If T is a normal operator, i.e., , then . The operator norm and the numerical radius norm are equivalent, because for every . We also have . Recent contributions concerning numerical radius inequalities of Hilbert space operators can be found in [1] and references therein. Properties of some operators on Hilbert spaces can be found in [2,3].
Let be a non-empty set and be the set of all functions from to , where is the field of all complex numbers, a set included in is called a reproducing kernel Hilbert space (RKHS for short) on if is a Hilbert space (with identity ) and for every , the linear evaluation functional given by is bounded. Using the Riesz representation theorem, we show that for each , there exists a unique vector such that for all . Here, the function is called the reproducing kernel for the element and the set is called the reproducing kernel of We denote by , for , the normalized reproducing kernel of . Note that the set is a total set in . For , the Berezin symbol (or Berezin transform) of T, which was first introduced by Berezin [4,5], is the bounded function defined by . If the operator T is selfadjoint () then , and if the operator T is positive then .
The Berezin symbol has been investigated in detail for the Toeplitz and Hankel operators on the Hardy and Bergman spaces. It is widely applied in various areas of analysis and uniquely determines an operator (i.e., for all implies ). For further information about the Berezin symbol we refer the reader to [6,7,8,9] and references therein.
The Berezin set and the Berezin number of an operator T are, respectively, defined by
Through some simple calculations we get , for all Karaev [10] showed that does not hold for every .
It is easy to see that and , for any reproducing kernel . Here denotes the identity operator on .
We remark that for every , we have the following properties:
- (i)
- for all ,
- (ii)
- .
Furthermore, it can be checked that if and only if T is equal to the zero function of . Hence, using the above considerations regarding the Berezin number, it follows that ber(·) is a norm on Similarly for , as was proven in [11]: .
For , the Berezin norm of T is given by
where and are two normalized reproducing kernels of the space (see [12,13]). We note that does not, in general, imply the submultiplicativity property. The equality may not hold in general for (see [14]) as well. An important observation is that
It should be mentioned here that inequality (1) is strict in general. However, Bhunia et al. proved in [15] that if is a positive operator, then
Remark 1.
It is crucial to note that (2) may not be true, in general, for selfadjoint operators (see [15]).
The following inequality, which was recently proven in (1), provides a refinement of the inequality .
The uniqueness or novelty of this article consists of new estimates of the Berezin number and Berezin norm of different types of bounded linear operators acting on reproducing kernel Hilbert space (RKHS). These estimates improve the upper bounds of the Berezin numbers obtained by other similar articles.
The present article is organized in the following manner: In Section 2, some lemmas that are required to establish our main results are collected. In Section 3, we present our main results, which include several Berezin number and norm inequalities of operators. In particular, we establish two estimations of where for all and with . Here denotes the set of all positive integers. Some of the obtained bounds improve on the earlier ones.
2. Useful Lemmas
In this section, we collect some well-known useful lemmas, which will be used repeatedly to reach our goal in this present paper. In all that follows, stands for a complex Hilbert space with inner product and associated norm .
The first lemma was proven by Kittaneh and Moradi in [16] and provides a refinement of the well-known Cauchy–Schwarz inequality.
Lemma 1.
Let . Then
Remark 2.
It follows from Lemma 1 that
for all .
The classical Schwarz inequality for positive operators is given below:
for any positive operator and for any vectors . Kato [17] established a companion of the Schwarz inequality (5), which asserts:
for every operator , for any vectors , and . For we obtain a result attributed to Halmos [18] (pp. 75–76), thus
for every and for all .
The inequality in the following lemma deals with positive operators and is known as the McCarthy inequality.
Lemma 2
([19], Theorem 1.4). Let be a positive operator and be such that . Then, for every we have
The next lemma is stated as follows.
Lemma 3
([16]). Let be such that . Then
The interesting inequality in the following lemma is proved by Buzano in [20].
Lemma 4.
Let be such that . Then
The following lemma is known as Bohr’s inequality.
Lemma 5
([21]). Let be a positive real number for every . Then,
In the next lemma, we recall an important inequality that has been recently proven by Omidvar et al. in [22].
Lemma 6.
Let be such that . Then
3. Main Results
In this section, denotes an RKHS on a set with associated norm .
Our first result in this paper reads as follows:
Theorem 1.
Let . Then, for all we have
Proof.
Let and be the normalized reproducing kernel of the space . Further, let . By using the Cauchy–Schwarz inequality together with the arithmetic-geometric mean inequality, we see that
where the last inequality follows by applying the convexity of the function . Further, by applying Lemma 2, we get
where the last equality follows by using (2) since . Hence, we deduce that
for all . Therefore, by taking the supremum over all in the above inequality, we get the desired result. □
Our next result is stated as follows.
Theorem 2.
Let be positive operators and . Then
Proof.
Let and be the normalized reproducing kernel of the space . By using the convexity of the function with , we see that
because the operator is positive, when T and S are the positive operators and . Hence,
Hence, by taking the supremum over all in the above inequality, we deduce that
This completes the proof by using (2) since . □
The following corollary is an immediate consequence of Theorem 2.
Corollary 1.
Let be positive operators. Then
Proof.
Using in inequality (8), we obtain the relation of the statement. □
The following lemma is useful in proving our next result.
Lemma 7.
Let . Then
Proof.
Let and be the normalized reproducing kernel of . By applying inequality (7) together with the arithmetic-geometric mean inequality, one observes that
where the last equality follows from (2) since . Hence
Therefore, by taking the supremum over all in the above inequality, we obtain the desired result. □
Now, we can prove the following result that provides an improvement in inequality (3).
Theorem 3.
Let . Then
Proof.
By using (3) together with Lemma 7, we see that
This proves the first inequality in Theorem 6. On the other hand, by applying Lemma 7, we see that
Hence, the proof is complete. □
In the next result, we establish an upper bound involving , which provides an improvement of the inequality in Theorem 1 for .
Theorem 4.
Let . Then
Proof.
Let and be the normalized reproducing kernel of the space . By replacing x and y with and , respectively, in (4) and then using the arithmeticgeometric mean inequality, we see that
where the last equality follows by applying (2) since . Moreover, by applying Lemma 2, we conclude that
Therefore, by taking the supremum over all in the above inequality, we get the first inequality in Theorem 4. Now, by applying Theorem 1 for , we see that
This completes the proof. □
Our next result reads as follows.
Theorem 5.
Let for all with . Then, for every and , we have
Proof.
Let and be the normalized reproducing kernel of the space . By using Lemmas 2 and 5, and inequality (7), we see that
Moreover, by letting , and in Lemma 4 and then applying the arithmetic-geometric mean inequality, we obtain
Since, , then by (2), we deduce that
Taking the supremum over all in the last inequality yields the desired result. □
Remark 3.
Substituting into the inequality of Theorem 5, we obtain the inequality given by Bhunia et al. in [12], thus
For and in the inequality in Theorem 5, we deduce the following inequality:
for all and . If we take in inequality (10), then we find
for every .
In the next result, we prove an estimate for .
Theorem 6.
Let . Then,
Proof.
Let and be the normalized reproducing kernel of . By putting and then replacing x and y by and , respectively, in Lemma 3 we see that
Further, by applying the arithmetic-geometric mean inequality, we get
Since the operators and are positive, then by applying Lemma 2, we see that
where the last inequality follows by applying (2) since the operators and are positive. Thus,
whence
This proves the desired inequality by taking the supremum over in the last inequality. □
Our next theorem is stated as follows.
Theorem 7.
Let . Then, for all and , we have
Proof.
Let and be the normalized reproducing kernel of the space . Further, let . By using the Cauchy–Schwarz inequality, we deduce that
Now, by applying Young’s inequality and the convexity of the function , we have
for every , and . Therefore, by using (12) together with Lemma 2, we get
Therefore, by taking the supremum over all in the above inequality and taking into account that and , we obtain
for all and . Consequently, we obtain the inequality of the statement. □
Remark 4.
By letting in (11), we get the inequality in Theorem 1.
The following corollary is an immediate consequence of Theorem 7.
Corollary 2.
Let . Then, for all and , we have
Proof.
For in inequality (11), we deduce the inequality from the statement. □
Remark 5.
In the following theorem, we establish a new Berezin number inequality that refines an earlier result by Bhunia et al. in [12].
Theorem 8.
Let , with . Then, for all and , we have
Proof.
In [23], Kittaneh and Manasrah improved Young’s inequality. Thus
where and Let and be the normalized reproducing kernel of space . We have the following calculations:
Since and using inequality (15) we deduce
where and Further, let . Applying the above inequality for and we deduce
Therefore, we obtain
Now, by taking the supremum over all in the above inequality and taking into account that the operator is positive, we deduce the inequality
for all and . Therefore, we obtain the inequality of the statement. □
Remark 6.
Inequality (14) represents an improvement in the following inequality given by Bhunia et al. in [12]:
for all , and .
In our next result, we prove another estimation of .
Theorem 9.
Let for all with . Then, for every , we have
Proof.
Let and be the normalized reproducing kernel of the space . By using Lemmas 2 and 5, and inequality (7), we have
Moreover, since and , then by using the arithmetic-geometric mean inequality together with Lemma 2, we have
Since , then by taking (2) into consideration, we deduce that
Taking the supremum over all in the last inequality yields the desired result. □
Remark 7.
By letting in Theorem 9, we reach inequality (3).
Our next result reads as follows.
Theorem 10.
Let . Then
Proof.
Let and be the normalized reproducing kernel of the space . The application of the Cauchy–Schwarz inequality shows that
Moreover, by putting , and in Lemma 6, we obtain
where we have used the arithmetic-geometric mean inequality in the last inequality. Now, by using Lemma 2, we obtain
Since and , then an application of (2) shows that
By taking the supremum over all in the last inequality, we deduce the required result. □
Another Berezin number inequality is stated in the following theorem.
Theorem 11.
Let . Then
Proof.
Let and be the normalized reproducing kernel of the space . By putting , and in Lemma 6, we obtain
Moreover, by applying the arithmetic-geometric mean inequality together with Lemma 2, we get
where we have used the last equality in (2) since the operators and are positive. Therefore, we obtain
Taking the supremum over all in the last inequality yields the desired result. □
4. Conclusions
Reproducing kernel Hilbert spaces (RKHS) arise in many areas, including statistics, approximation theory, group representation theory, etc. Starting from the RKHS, the Berezin set and the Berezin number of an operator are defined as:
The Berezin number has been investigated for the Toeplitz and Hankel operators on the Hardy and Bergman spaces.
To characterize the Berezin number and the Berezin norm, we found many inequalities and their properties in some papers.
Therefore, our objective was to study other new upper bounds involving the Berezin number and Berezin norm of bounded linear operators acting on RKHS. This study begins in this paper [24].
This article was structured as follows: In Section 2, a few lemmas teams are required to establish our main results were collected. In Section 3, we presented our main results, which include several Berezin number and norm inequalities of operators. In particular, we establish two estimations of where for all and with . Here denotes the set of all positive integers. Finally, we obtained the upper bounds for and .
In this work, the ideas and methodologies presented may serve as a starting point for future investigation in this field. We will look for other connections between the Berezin number and norm inequalities of operators, studying a possible generalization of the Berezin number. We want to find some lower bounds for the Berezin number. Further, some bounds related to the Berezin number and Berezin norm will be studied when an additional semi-inner product structure induced by a positive operator A on is considered [14]. We will also study how our research can contribute to connections with “Fractals and Fractional Calculus” (see [25]).
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).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors would like to thank the anonymous reviewers for their careful reading of this manuscript and for several valuable suggestions that improved the original draft.
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. In Infosys Science Foundation Series; Springer: Cham, Switzerland, 2022. [Google Scholar] [CrossRef]
- Minculete, N. About the Cauchy–Bunyakovsky–Schwarz Inequality for Hilbert Space Operators. Symmetry 2021, 13, 305. [Google Scholar] [CrossRef]
- Chung, H.S. Basic Fundamental Formulas for Wiener Transforms Associated with a Pair of Operators on Hilbert Space. Mathematics 2021, 9, 2738. [Google Scholar] [CrossRef]
- Berezin, F.A. Covariant and contravariant symbols for operators. Math. USSR-Izv. 1972, 6, 1117–1151. [Google Scholar] [CrossRef]
- Berezin, F.A. Quantizations. Math. USSR-Izv. 1974, 8, 1109–1163. [Google Scholar] [CrossRef]
- Bakherad, M. Some Berezin number inequalities for operator matrices. Czech. Math. J. 2018, 68, 997–1009. [Google Scholar] [CrossRef]
- Karaev, M.T. Functional analysis proofs of Abels theorems. Proc. Am. Math. Soc. 2004, 132, 2327–2329. [Google Scholar] [CrossRef]
- Karaev, M.T.; Saltan, S. Some results on Berezin symbols. Complex Var. Theory Appl. 2005, 50, 185–193. [Google Scholar] [CrossRef]
- Nordgren, E.; Rosenthal, P. Boundary values of Berezin symbols. Oper. Theory Adv. Appl. 1994, 73, 362–368. [Google Scholar]
- Karaev, M.T. Reproducing kernels and Berezin symbols techniques in various questions of operator theory. Complex Anal. Oper. Theory 2013, 7, 983–1018. [Google Scholar] [CrossRef]
- Sen, A.; Bhunia, P.; Paul, K. Berezin number inequalities of operators on reproducing kernel Hilbert spaces. Rocky Mt. J. Math. 2022, 52, 1039–1046. [Google Scholar] [CrossRef]
- Bhunia, P.; Sen, A.; Paul, K. Development of the Berezin number inequalities. arXiv 2022, arXiv:2202.03790. [Google Scholar]
- Karaev, M.T. Berezin symbol and invertibility of operators on the functional Hilbert spaces. J. Funct. Anal. 2006, 238, 181–192. [Google Scholar] [CrossRef]
- Conde, C.; Feki, K.; Kittaneh, F. On some Berezin number and norm inequalities for operators in Hilbert and semi-Hilbert spaces. In Matrix and Operator Equations and Applications; Mathematics Online First Collections; Moslehian, M.S., Ed.; Springer: Cham, Switzerland, 2023; Accepted for publication. [Google Scholar]
- Bhunia, P.; Paul, K.; Sen, A. Inequalities involving Berezin norm and Berezin number. arXiv 2021, arXiv:2112.10186. [Google Scholar]
- 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]
- Kato, T. Notes on some inequalities for linear operators. Math. Ann. 1952, 125, 208–212. [Google Scholar] [CrossRef]
- Halmos, P.R. A Hilbert Space Problem Book, 2nd ed.; Springer: New York, NY, USA, 1982. [Google Scholar]
- Furuta, T.; Mićić, J.; Pečarić, J.; Seo, Y. Mound–Pečarić Method in Operator Inequalities; Element: Zagreb, Croatia, 2005. [Google Scholar]
- Buzano, M.L. Generalizzazione della diseguaglianza di Cauchy-Schwarz (Italian). Rend. Sem. Mat. Univ. Politech. Torino 1974, 31, 405–409. [Google Scholar]
- Vasić, M.P.; Keĉkić, D.J. Some inequalities for complex numbers. Math. Balk. 1971, 1, 282–286. [Google Scholar]
- 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]
- Kittaneh, F.; Manasrah, Y. Improved Young and Heinz inequalities for matrices. J. Math. Anal. Appl. 2010, 36, 262–269. [Google Scholar] [CrossRef]
- Altwaijry, N.; Feki, K.; Minculete, N. Further Inequalities for the Weighted Numerical Radius of Operators. Mathematics 2022, 10, 3576. [Google Scholar] [CrossRef]
- Khan, M.B.; Santos–García, G.; Noor, M.A.; Soliman, M.S. Some new concepts related to fuzzy fractional calculus for up and down convex fuzzy-number valued functions and inequalities. Chaos Solitons Fractals 2022, 164, 112692. [Google Scholar]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).