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.
Remark 2. It follows from Lemma 1 thatfor 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.
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).
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 .
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
Since
, then (
2) we have
whence
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 findfor 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. For in the relation (13), we deduce the following inequality:for all and . 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
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.
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]).