1. Introduction
Let denote the set of analytic functions on the open unit disk in the complex plane , and let represent the set of analytic self-maps of .
For
, the composition operator
acting on
is defined as follows:
In recent years, a growing focus has emerged on examining composition operators and their actions across various spaces of analytic functions. Particularly, significant attention has been devoted to exploring the intricate connections between
and the properties of
. This area of research has been extensively investigated and discussed in works such as [
1,
2,
3,
4,
5,
6,
7,
8], along with the references cited therein.
Given
, the integral operator
is defined as
Assuming that
and
, a linear operator is defined as follows:
This operator is referred to as the generalized composition operator. If
,
reduces to the integral operator
. In the case where
, it is observed that the operator
becomes a composition operator since
is constant. Thus,
serves as a generalization of the composition operator introduced in [
9].
The study of the boundedness and compactness of generalized composition operators on Bloch-type spaces and Zygmund spaces has been explored in [
9]. In [
10], a new characterization of the generalized composition operator on Zygmund spaces was presented. Additional insights into the generalized composition operator on various spaces can be found in related works such as [
11,
12,
13,
14].
Consider
,
, and
. Building upon the motivation provided by (
1)–(
3), Kamal, Abd-Elhafeez, and Eissa [
15] introduced a new operator known as the
t-generalized composition operator, defined as
This operator is an extension of the generalized composition operator. Specifically, when , coincides with . Unlike the generalized composition operator, the t-generalized composition operator accommodates varying degrees of differentiability, governed by the parameter t. This parameterization opens up new avenues for analyzing the interplay between operator properties and function space characteristics.
Let
be a positive continuous function on
, which we refer to as a
weight, and
. In [
16], Stević introduced the iterated weighted-type Banach space
as follows:
with the norm
The little iterated weighted-type space
is the closed subspace of
such that
For , the space is the weighted-type space , the weighted Bloch-type space , and the weighted Zygmund-type space , respectively.
Consider
and
. When
,
coincides with the Bloch-type space
and the Zygmund-type space
, respectively. In particular, for
, we obtain the classical Bloch space
B and the Zygmund space
Z, respectively. Moreover, when
, as proven in Theorem 1 of [
17],
serves as the dual of the Hardy space
for all
. For further details on these spaces, please refer to [
18,
19].
The iterated weighted-type Banach spaces have a significant role in the field of approximation theory and numerical analysis. They are particularly useful for measuring the precision of different numerical methods used to approximate functions with nth-order derivatives, like finite difference and finite element methods. Additionally, these spaces can be employed to determine the rates at which various approximation schemes converge and to calculate error limits for numerical solutions of differential equations. Additionally, they have applications in machine learning, where they are used to model complex data structures and make predictions based on them. More details can be found in [
20,
21,
22].
Let
,
, and
such that
. The general family space
is the set of all analytic functions that satisfy
where
denotes the Lebesgue area measure such that
, and
The little space
is the closed subspace of
such that
These spaces were introduced by Zhao [
23]. Equipped with the above norm, the general family space
becomes a Banach space. It is well known in [
24] that there is a positve constant
C such that
Previous research efforts have made significant strides in characterizing the boundedness and compactness properties of operators across a variety of function spaces, ranging from
to several iterated weighted-type Banach spaces. For instance, Yang, as detailed in [
25], provided a characterization of the boundedness and compactness of weighted differentiation composition operators from the
space to
. Similarly, Ye, in [
26], examined the boundedness and compactness of the weighted composition operator from the general family space
to the logarithmic Bloch space
. Another contribution by Yang, discussed in [
24], focused on investigating the boundedness and compactness of composition operators from the general family space
space to
. Zhou and Chen, in their work [
27], conducted a study on the weighted composition operator from the
space to
on the unit ball. Additionally, in [
28,
29], Stević engaged in discussions concerning the boundedness and compactness of integral operators between
spaces and Bloch-type spaces within the unit ball. These investigations contribute significantly to our understanding of the behavior of various operators on different function spaces, shedding light on the intricate interplay between operator-theoretic properties and function-space characteristics.
Expanding upon this existing body of literature, our research introduces a novel operator, the t-generalized composition operator. This operator extends the concept of generalized composition operators to a new level of generality and flexibility, offering insights into previously unexplored areas of operator theory. What sets t-generalized composition operators apart is their ability to capture and manipulate higher-order derivative information, providing a richer framework for analyzing the composition of functions. By incorporating tth-order derivatives of the function g into the composition process, t-generalized composition operators offer a more nuanced understanding of how compositions interact with the underlying function spaces. This additional degree of control over the composition process enables us to explore a broader range of phenomena and derive more refined results. In particular, our study investigates the boundedness and essential norm of t-generalized composition operators as they operate from spaces to iterated type spaces, providing valuable contributions to the understanding of these operators’ behaviors in diverse function-space settings. Furthermore, we discuss the special cases of and the operator .
In this work, we will consistently use the symbol C to represent a positive constant that remains independent of the variables or parameters involved, although its value may vary with each instance. The notation indicates that there exists a positive constant c such that . Furthermore, we employ the notation to signify that there exist positive constants and , with , such that .
2. Boundedness
The main goal of this section is to characterize the boundedness of t-generalized compostion operators from spaces to iterated weighted-type Banach spaces.
Lemma 1 (Lemma 4, [
16])
. Given and , for and ,whereand the sum is taken over all nonnegative integers such that , and . Then, for the
t-generalized compostion operator case, we have
We set
and
, as well as functions
g and
. For
, we define
Theorem 1. We set and and let and . Then, the following statements are equivalent.
(a) is bounded.
(b) M:=
Moreover, if is bounded, then Proof. (b) ⇒ (a) Let
such that
and
. By (
4) and (
5), we have
Taking the supremum over all
z in
, we obtain
Noting
and again by (
4), for each
, we have
Combining (
7) and (
8), we obtain
which proves that
is bounded.
By taking the supremum over all f in the unit ball of , we obtain the upper estimate.
(a) ⇒ (b) Let
and
. By [
30] and Lemma 3 in [
16], for each
, there exist unique real numbers
such that
which satisfies the conditions
Moreover, .
Since
is bounded, then by (
5), we obtain
where for fixed
and
,
Hence, by (
10), we obtain
Therefore, if
, then
On the other hand, when
, it follows that for each
, we have
Combining (
12) and (
13), it follows that to prove that
and it suffices to show that
For a non-negative integer
n, let
. By Proposition 2.13 in [
23],
. Moreover, for all
,
is bounded by a constant
C.
We establish (
15) using an induction proof on
. For
, we have
Assume that for
, we have
By (
12) and (
14), for each
, we obtain
By summing over all
and taking the supremum over all
w in
, we obtain
which completes our proof. □
Focusing on the component operators and , we derive the following two results.
Corollary 1. Let , , and . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then Corollary 2. Let , and let . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then 3. Essential Norm
The result presented in [
7] is crucial for characterizing the compactness of the operators under investigation in this study.
Lemma 2 ([
7], Lemma 3.7)
. Let be Banach spaces of analytic functions on , and let be a bounded linear operator. Suppose the following:- (i)
The point evaluation functionals on X are continuous;
- (ii)
The closed unit ball of X is a compact subset of X in the topology of uniform convergence on compact sets;
- (iii)
T is continuous when X and Y are given the topology of uniform convergence on compact sets.
Then, T is a compact operator if and only if for any bounded sequence in X such that converges uniformly to zero on compact sets, the sequence converges to zero in the norm of Y.
Recall that the essential norm of a bounded linear operator
, where
X and
Y are Banach spaces, is given by
Therefore, a bounded linear operator W is compact if and only .
The following lemma will be used to prove the main result of this section, and the proof is similar to the one in Lemma 3.1 in [
31].
Lemma 3. Let , and let . For , the dilation function in is defined by for all . Then, is compact on and Moreover, for and , there exists such that Now, we are ready to state the main result of this section.
Theorem 2. Let , , , and . If is bounded, then Proof. To prove the upper estimate, let
,
, and
.
is compact, since
is compact and
is bounded. Then, by (
4), (
6), (
17), and (
18), we have the following:
For sufficiently small
, we obtain
To prove the lower estimate, let be a sequence in such that and let . Then, the sequence defined in the proof of Theorem 1 converges to 0 uniformly on compact subsets. Moreover, .
Let
be a compact operator. Then, by Lemma 2,
. Hence, by (
5) and (
11), we have
Summing over all
and taking the infimum over all compact operators
, we obtain
□
Focusing on the component operators and , we derive the following results.
Corollary 3. Let , , and . If is bounded, then Corollary 4. Let and . If is bounded, then 4. The Special Cases of the Space of and the Operators
We conclude this paper by exploring several special cases of and . To accomplish this, we begin by stating some fundamental definitions.
The space BMOA of analytic functions of bounded mean oscillation, defined as the space of analytic functions on unit disk such that
where
is the Hilbert Hardy space. With the norm
BMOA is a Banach space.
For
, the weighted Dirichlet
is the collection of all analytic functions
on
such that
For
, the Bergman space
is defined as the space of all functions
such that
is a Banach space with the norm
For
, an analytic function
f on
belongs to Besov space
if
In [
23], Zhao proved that the above spaces coincide with
as follows:
for ;
for ;
;
;
for ;
for ;
for .
Therefore, using Theroems 1 and 2, we deduce the following:
Corollary 5. Let , , , , and . Then, the following statements are equivalent.
(a) is bounded.
(b) is bounded.
(c) is bounded.
(d)
Moreover, if is bounded, then Corollary 6. Let , , , and . Let and . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then Corollary 7. Let , , , and . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then Corollary 8. Let , , and . Let and . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then Corollary 9. Let , , and . Let and . Then, the following statements are equivalent.
(a) is bounded.
(b)
Moreover, if is bounded, then