Abstract
In this article, firstly, some basic properties of the sequential -numerical radius function are investigated. The relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its coordinate operators are analyzed. Then, the relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its real and imaginary parts are presented. Finally, this analysis is extended to the case in which the coordinate operators are sectorial, providing additional insight into the structural behavior of the sequential -numerical radius function. The obtained results are generalized to some well-known famous results about the numerical radius function from the recent literature. Also, an important contribution is made to the existing literature via different and useful results.
MSC:
47A12; 47A30; 47A63; 47B44; 15A60
1. Introduction
The concepts of numerical range and numerical radius of an operator play a very significant role in pure and applied mathematics and have been studied extensively due to their applications in engineering, quantum computing, quantum mechanics, numerical analysis, differential equations, fluid dynamics, the geometry of Banach space, etc. (see, [1,2,3]).
Throughout this article, denotes a complex Hilbert space endowed with the inner product and associated norm Let and stand for the -algebra of all bounded linear operators and compact operators acting on respectively. The classical numerical radius and the usual operator norm of a linear bounded operator T are, respectively, given by
(see, [4]) and
In the literature there is one important formula from Yamazaki [5] for the calculation of numerical radius of :
There is another formula for the computation of generalized numerical radius:
where N is the given norm of [6].
Finding the exact value of for an arbitrary is not an easy task, except in some special cases. Therefore, researchers in this field have devoted a considerable amount of time and effort to find lower and upper bounds of
Recall that for any the numerical radius is a norm on and among the most basic bounds of is the following two-sided inequality
(see, e.g., [7]). The right hand side of (1) becomes an equality when T is normal, while the left side becomes an equality when
Sharpening (1) has received considerable attention in the literature. We refer the reader to [8,9,10,11,12,13,14,15,16] as a sample of recent attempts to obtain sharper and better bounds of .
In [9], the numerical radius of accretive operators (matrices) was investigated, where several bounds were established, including both extensions of known results and newly derived inequalities. This work appears to have stimulated further interest in the study of the numerical radius of accretive and related classes of operators.
On the other hand, Bhunia et al. [10] focused on refining the inequalities in (1), with the Cartesian decomposition playing a central role in these refinements. In particular, the authors employed this decomposition to improve the first inequality in the following celebrated bound
which was originally proved in [13] as a refinement of both inequalities in (1).
Earlier, it was shown in [12] that
which is among the sharpest refinements of the second inequality in (1). In fact, this inequality is sharper than the upper bound in (2); however, the symmetric structure of (2) makes it particularly appealing and widely cited.
Further developments were presented in [14], where various relations between an operator and its Cartesian decomposition were utilized to derive several improvements of both (1) and (2). In that work, the study of accretive–dissipative operators led to replacing the factor in (1) with , yielding a significant improvement for this class of operators. More recently, ref. [11] showed that this improved factor is in fact valid for all accretive operators, thereby strengthening numerous known results, particularly those in [8]. It is worth noting that the primary aim in [8] was to establish interpolated inequalities that provide a geometric perspective on several classical bounds.
Now, in alignement with our work, we proceed to the definitions of -numerical range and -numerical radius.
Definition 1
([17]). For the operator and the δ-numerical range is defined as
where denotes the closure of a set in the complex plane.
It is readily seen that is a closed subset of the closure of the classical numerical range, and that
Furthermore, by a slight modification of a theorem from Dekker [18], it follows that is connected. An interesting question is whether is convex. This is indeed the case when T is normal or when the underlying Hilbert space is two-dimensional.
Definition 2.
For the operator and the δ-numerical radius function is defined as
From the definitions of the -numerical radius function, it follows immediately that
Now, let us give the following two new definitions.
Definition 3.
Let and be an operator sequence in satisfying
The following definitions are introduced:
- 1.
- 2.
- 3.
- 4.
Definition 4.
Let and be an operator sequence in satisfying
The sequential -numerical radius of the operator sequence is defined by
for
We note that the proposed definition recovers several well-known numerical radii as special cases:
- (1)
- If and then this definition coincides with the definition of classical numerical radius (see [7]);
- (2)
- If then this definition coincides with the definition of Davis–Wielandt radius of the operator A (see [19,20]);
- (3)
- If and and then this definition coincides with the definition of - numerical radius (see [21]);
- (4)
- If and then this definition coincides with the definition of p- numerical radius (see [22]);
- (5)
- If and then this definition coincides with the definition of joint -numerical radius (see [23]).
Example 1.
Assume that
and Then
On the other hand, for and from the last relation
i.e.,
it is obtained that
Therefore,
Throughout this paper, we consider operator sequences and adopt the following conventions for the parameters and :
- (1)
- If and then
- (2)
- If and then
- (3)
- If and then
Also for any operator sequences and , , it will be defined
where denotes the unit sphere of the Hilbert space
Definition 5.
For any fixed
- (i)
- is a sector with a vertex at the origin and angles γ and
- (ii)
- The operator in any Hilbert space is said to be -sectorial if
- (iii)
- The class of all -sectorial operators on Hilbert space is denoted by
It is clear that, if then A is accretive. Remember that an operator is called accretive if for all It is called dissipative if for all
This work is organized as follows: In Section 2, fundamental properties of the sequential -numerical radius function are investigated. The relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its coordinate operators are then analyzed. In addition, the relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its real and imaginary parts are presented. Section 3 extends the study to the case in which the coordinate operators are sectorial.
The main goal of this work is to develop and generalize several well-known classical inequalities related to the numerical radius, as studied in the recent literature (see, e.g., [7,8,13,19,20,21,22,23,24,25,26]), with particular emphasis on obtaining refined lower and upper bounds for the numerical radius.
In this direction, we introduce a sequential -numerical radius framework for operator sequences, which provides a unified setting for studying numerical radius-type quantities and allows the derivation of both new inequalities and extensions of several known results.
Moreover, this approach provides a unified perspective on operator sequences and generates improved spectral estimates for the numerical radius.
To be more precise, we prove several fundamental properties of the sequential -numerical radius function for operator sequences. One of our main results is to establish precise relationships between the sequential -numerical radius of an operator sequence and those of its coordinate operators. This generalizes the well-known inequality due to Drnovšek and Müller [24,25], which states that for ,
Another main contribution of this work is to establish relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its real and imaginary parts. This generalizes the well-known inequality due to Kittaneh [13], which states that for ,
Furthermore, we extend our analysis to the case of sectorial coordinate operators, obtaining new structural insights and sharper estimates. The results obtained in this section generalize the inequalities due to Bedrani et al. [9], which state that for , ,
Moreover, our results improve the inequalities due to Sammour et al. [8], which state that for , ,
and which state that for satisfying
The main advantage of the sequential -numerical radius framework is that it gives a unified way to study different numerical radius-type quantities for operator sequences. It also allows us to recover many known results as special cases and to obtain new inequalities and improved estimates.
As a consequence, the results presented in this paper both generalize and significantly improve upon previously known results, while also contributing new and useful techniques to the study of numerical radius-type functions.
Note that each operator can be expressed in the Cartesian decomposition form as where and Here, denotes the adjoint of Throughout this study we denote by the absolute value of an operator
2. Sequential -Numerical Radius
In this section, some important properties of the sequential -numerical radius function will be investigated.
Theorem 1.
Let be two operator sequences in
- (1)
- If , , then
- (2)
- If then
- (3)
- If is a normal operator sequence in then for any
- (4)
- If is a hyponormal operator sequence in then for any
Proof.
- (1)
- For any it is clear thatOn the other hand, for i.e.,it is obtained thatThis means that
- (2)
- For any it is easy to see thatOn the other hand, if and thenandHence,Also, if and thenConsequently,
- (3)
- For anyAs well as for anyFrom these relations it is established that
- (4)
□
Remark 1.
Let
- (1)
- If and then Theorem 1 coincides with well-known result found in [26].
- (2)
- If and then Theorem 1 is a generalization which has a corresponding result in [23].
Now, we provide a useful auxiliary lemma.
Lemma 1
([27]). If then for any ,
Theorem 2.
Let be an operator sequence in and Then
where
Proof.
Example 2.
Assume that
and let Assume also that
In this case,
Then, by Theorem 2 it is obtained that
In a special case, if then from the last inequality we have
The following two theorems describe the relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its coordinate operators.
Theorem 3.
Let be an operator sequence in and Then
where and
Proof.
It is clear that for and
On the other hand, since for any
then
where and
From Theorem 3, we obtain the next results.
Corollary 1.
Let and and . Then, for any
Corollary 2.
Let Then
On the other hand, by using the following well-known inequality
it is obtained that
Also, it is clear that
From this inequality and the previous relation it is established that
which was obtained in [24,25].
Theorem 4.
Let be an operator sequence in and Then
where
Proof.
The following corollary follows from Theorem 4.
Corollary 3.
Let be an operator sequence in and Then
Also, from this, if (i.e., ), then we obtain the well-known inequality
Theorem 5.
Let be an operator sequence in and Then
Proof.
By using Lemma 1, for any
On the other hand, for since
then
Thus, from (17) and (18) it is obtained that
□
Now, let us present a result that establishes the relationships between the sequential -numerical radius of an operator sequence and the sequential -numerical radii of its real and imaginary parts.
Theorem 6.
Let be an operator sequence in , and Then
where ,
Proof.
For any and
Hence,
Therefore,
On the other hand, for and it follows that
where
Hence, for and it follows that
where
Consequently, from the last relation it is obtained that for
As well as this, if and then
Hence, for
Consequently, if and
Therefore, from these calculations it is found that
Thus, from (19) and (20), it is obtained that
□
Example 3.
From Theorem 6, we obtain the next results.
Corollary 4.
Let be an operator sequence in the operator is normal for any , and Then
Remark 2.
For any since
then from (1) of Theorem 1 and Theorem 6 it can be rewritten in the equivalent form
Then, if we take then it is true that
and this result has been found in [13].
Remark 3.
If for any and in Theorem 6, then from Lemma 1 it is clear that
where Hence, if for any , then the following holds
On the other hand, for any and
i.e.,
where and
Now, we will present an important result.
Theorem 7.
Let be an operator sequence in Then,
and
Proof.
For any it is clear that
and similarly
On the other hand, it is easy to see that
From these relations, we obtain
and
□
From Theorem 7, we obtain the next results.
Corollary 5.
Let , and Then,
Therefore, from the last relation it is found that for
This result has been found by Kittaneh in [13].
3. Sectorial Case of Coordinate Operators
In this section, the sequential -numerical radius function will be investigated in the case when the coordinate operators are sectorial.
Theorem 8.
Let be an operator sequence in and
- (1)
- If and thenwhere and
- (2)
- If and thenwhere and
Proof.
- (1)
- For each it follows thatThen, it is clear that for eachand setting yieldsOn the other hand, forHence,As well as this, forwhere
- (2)
- Assume that For any it follows thatHence, from the last calculations it is obtained that forand setting yieldsOn the other hand, for anyand setting yieldsAlso, since it is clear that forUsing this fact for it is obtained thatwhere
□
Example 4.
Assume that
where and Let Then,
and
which implies that Define
where Therefore, by (1) of Theorem 8 it is obtained that
If we take and in Theorem 8, we obtain the following corollary.
Corollary 6.
Let be an operator sequence in
- (1)
- If thenwhere
- (2)
- If thenwhere
Remark 4.
If we take in Corollary 6, then for
which was proved in [9].
Theorem 9.
Let be an operator sequence in and be an accretive–dissipative operator such that
Then,
- (1)
- for anywhere
- (2)
- for anywhere
Proof.
- (1)
- For any it is clear thatOn the other hand, sinceand the tangent function is monotonically increasing on theni.e., forwhereAs well as this, for any it is clear that
- (2)
- For any it is clear thatOn the other hand, sinceand the cotangent function is monotonically decreasing on theni.e., forwhereAs well as this, for any it is clear that
□
Corollary 7.
Under the condition of Theorem 9, if then
Corollary 8.
Under the condition of Theorem 9, if and then from Corollary 7
In addition, if then from the last relation it is obtained that for
On the other hand, it is well known that from [8]
Therefore, from the previous inequality it is obtained that
It must be noted that in the matrix case of the following main result was obtained in [8],
Therefore, the previous estimate shows that in the accretive–dissipative case the last inequality can be improved.
It must be noted that for with condition
from (35), the following interpolated inequality is implied
This shows that the analogous result in [8] can be improved.
4. Conclusions
In this study, we investigated several fundamental properties of the sequential -numerical radius function. First, we examined the relationships between the sequential -numerical radius of an operator sequence and the corresponding numerical radii of its coordinate operators. We further analyzed the connections between the sequential -numerical radius and the numerical radii of the real and imaginary parts of the associated operator sequences.
Finally, these results were extended to the case where the coordinate operators are sectorial, which provided additional structural insights into the behavior of the sequential -numerical radius function. The obtained results generalize several well-known classical results on the numerical radius function in the recent literature and contribute new and useful perspectives to the existing theory.
Future research may focus on extending these results to more general classes of operators, as well as exploring possible applications of the sequential -numerical radius in other areas of functional analysis and operator theory.
Author Contributions
Conceptualization, Z.I.I. and P.I.A.; Validation, M.S.; Writing—original draft, Z.I.I. and P.I.A.; Writing—review and editing, Z.I.I., P.I.A. and M.S. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the Scientific Research Projects Coordination Unit of Karadeniz Technical University. Project number: FUA-2026-17423.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
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