Abstract
We introduce the space of holomorphic growth spaces with values in a Banach lattice. We provide norm and essential norm estimates of the embedding operator, and we completely characterize the bounded and compact embeddings of the growth spaces using vector-valued Carleson measures. As an application, we prove a characterization of weighted composition operators.
MSC:
32A37; 46A40; 46B42; 47B33
1. Introduction
In this paper, we introduce vector-valued growth spaces taking values on a Banach space. The definition of these spaces makes use of the notion of the so-called Gamma order which is nothing but a linear transformation of a Banach space into a conditionally complete vector lattice . If is a domain in and is a continuous function from into the positive cone in , then is the class of all holomorphic maps f from into for which
for some . The reader is referred to Section 2.2 for the unexplained notation.
The usual approach to define the -norm or “sup”-norm of a vector-valued function f is to take the corresponding norm of the scalar function . Our definition differs in (1) in that we make use of the order structure, which is assumed to hold on the given Banach space via the transformation . A natural example is when the Banach space has an unconditional Schauder basis (Section 2.3). It turns out that in this case there exists a natural conditionally complete vector lattice and a bijective linear transformation from onto ; hence, one can consider the order structure on induced by .
The central focus of this paper is on the uniform embedding of the growth space into the space of a family of vector-valued measures; that is, there is the existence of a constant independent of f so that
for every . Now, we consider only a bounded, circular and strictly convex domain with at least a boundary in . When consists of one element only, such a measure is called p-Carleson for the space . The earliest examples of such measures appear in the seminal work of L. Carleson in [1,2], where p-Carleson measures for the Hardy space were characterized. They were used in connection with interpolation and corona problems. There is a vast list of different results about p-Carleson measures for (scalar-valued) Hardy, Bergman-type, Dirichlet-type and Besov spaces.
Scalar-valued growth spaces and their embedding properties were investigated in the work of E. Abakumov and E. Doubtsov ([3,4,5]). In [5], the author completely characterizes the q-Carleson measures for the scalar-valued and provides a characterization for the bounded or compact composition operators on these spaces when the weight is of the form
for some , or
for . The paper [3] is mainly focused on the case when the domain is the open unit ball in . The authors prove a characterization of a bounded or compact composition and Volterra operators on growth spaces in the setting of the open unit ball. The general case when is a bounded circular domain is treated in [4]. The key point in all these works is a two-sided estimate for functions in the growth space. This estimate together with a characterization of composition and multiplication operators, Volterra-type operators and extended Cesàro operators are given in [4] for when the domain is bounded, circular and strictly convex.
Our definitions and results generalize the previous work on (scalar-valued) growth spaces in two different ways: We consider vector-valued holomorphic functions. Secondly, the problem is to characterize the embedding of into a family of spaces as explained above. Our compactness characterization is new even in the settings of scalar-valued growth spaces. We also provide an essential norm estimate for the embedding operator (see Section 4).
Let denote the class of all holomorphic maps from into . For a scalar holomorphic function on with and a holomorphic map on into the sequence space of bounded sequences, the weighted composition operator is the operator that maps into the function for all . Hence, can be thought of as the composition followed by a multiplication. When is the constant sequence, we have : that is, the usual composition operator. Composition operators on function spaces are a vast subject. We refer the reader to [6,7] for the general theory.
The structure of the paper is as follows. In Section 2.1, we introduce the Gamma order and show that the transform induces a lattice structure on . The growth space is defined in Section 2.2, and we prove that this is a Banach space. The specific case when has a Schauder basis is treated in Section 2.3. In Section 3, we treat (vector-valued) Carleson measures. We provide essential norm estimates on the embedding operator, and we completely characterize bounded and compact Carleson embeddings of growth spaces in Section 3 and Section 4. As an application, we provide the necessary and sufficient criteria for the bounded or compact generalized composition operators (Section 5).
2. Preliminaries
2.1. Gamma Order
Let be a complex Banach space, and let be a complex separable Hilbert space. We denote the class of all bounded linear operators on by . The subspaces of self-adjoint and compact operators in are denoted by and , respectively. For self-adjoint operators, means the operator is positive semi-definite. The pre-order defined on this way is called the usual order. Let be a real vector subspace (not necessarily closed) of with the following properties:
- (1)
- for every and .
- (2)
- together with the usual order is a conditionally complete vector lattice: that is, each non-empty upper-bounded subset has a least one upper bound in (equivalently, each non-empty lower-bounded subset has its greatest lower bound in ).
- (3)
- is a real Banach space.
- (4)
- The norm is a lattice norm. This means if A, and , then .
- (5)
- The inclusion map from into is continuous.
- (6)
- There exists a bijective, real linear, norm-continuous map .
Let us consider the relation ⪯ on given by
We refer to [8] for basic notions of vector lattices. We use ⋎ (∨) and ⋏ (∧) for the “sup” and “inf” operations in (respectively in ). inherits a similar structure as , and we prove this first.
Theorem 1.
If and satisfy () and (), then is a conditionally complete vector lattice.
Proof.
Clearly, ⪯ is reflexive and transitive. It is symmetric, since is injective. Hence, ⪯ is a partial order on . For a, b, and a scalar with , we have : that is, . Likewise, : that is, . Let be a family in and let so that for each . Set . Since satisfies (), A belongs to . Hence, is in . Then, : that is, . By definition, a is an upper bound for . Hence, . Similarly, one can show that the infimum of a lower-bounded family in exists in . □
For , let , and . We define the -modulus of x as
Then .
Remark 1.
1. For , , where denotes the positive semi-definite elements in .
2. whenever , .
2.2. Growth Spaces
Let be a domain. Let denote the space of holomorphic functions in . Denote the class of holomorphic functions from to by . For the moment, let be a continuous mapping of into . Such a function is called a weight. We denote by the class of all functions for which
for every for some . Let , where the infimum is taken over all possible in satisfying (3). Set .
Theorem 2.
Suppose that and satisfy all five properties ()–(). Then the space is Banach with the norm .
Proof.
Clearly, the norm is well-defined. Since is injective, implies that is the constant zero. Let , with . Then , , and . For a non-zero scalar , , which means that . Hence, . For each , f, and , . Then , and this means that . Since has values in the positive semi-definite cone of , we get that . Here we use the property (). Let be a Cauchy sequence in . For each ,
Now a consequence of the open mapping theorem implies that is also bounded, and using (), for each compact ,
Then converges uniformly on compact sets to a function . For , there exists so that k, implies
for every . Letting , we have
for each . Fixing ,
Hence, , and converges to f. □
An estimate observed in the proof of Theorem 2 deserves separate attention.
Proposition 1.
For a compact ,
for every .
In particular, the point evaluation map taking f to , , is continuous from to .
2.3. Schauder Basis
Let be a complex Banach space with an unconditional Schauder basis : that is, for each , there exist uniquely determined so that
and the sum is independent of permutations of the set of positive integers.
For , where and , and a vector ,
where in the last equality; we have rearranged the basis vectors and so that if and if . That is, is a Schauder basis for the real space , which is nothing but the space when thought of as a real Banach space. One can normalize the basis elements, and we will do so, meaning that we will assume that for each j.
Let be the sequence space of square summable complex sequences. Let be the class of bounded, self-adjoint diagonal operators on . If denotes the diagonal operator that has 1 in the j-th place and all other entries equal to 0, then
and
Let be the linear map given by
Theorem 3.
Let be a real Banach space with a Schauder basis . The map Γ from into is well-defined, real linear, norm-continuous and injective. Moreover, is a conditionally complete lattice with the usual order if is unconditional.
Proof.
It is well-known that for a vector , as . In fact, if denotes the projection map from onto , there exists a constant so that for every j. This observation gives that
as and . Hence, is a well-defined, continuous, clearly linear and injective map from into .
Let be a lower-bounded subset of ; say for every , where . Replacing by , we may assume that for every . Let and . Since , for every j. If is unconditional, . Then , and L is the greatest lower bound of in . This argument shows that is a conditionally complete lattice with the usual order. □
If is given the norm induced from : that is, , we will denote that by . Then is obviously an isometric isomorphism of onto , and . If has an unconditional basis, then satisfies the properties and . If the norm on is a lattice norm—that is, if is a Banach lattice—then so is . That is, satisfies .
2.4. Carleson Measures
Let be a domain in . The class of Borel subsets of is denoted by . If is a Banach space, denotes the class of bounded, Borel-measurable functions from into . The class of Borel measures on with values in with bounded variation is denoted by . We will use the Riesz representation theorem for vector-valued functions in the form rephrased below (cf. [9], pp. 145–152).
Proposition 2.
Let and be Banach spaces, and let be a dominated linear operation such that for every scalar-valued decreasing sequence of bounded Borel functions converging pointwise to zero, . Then there exists a unique measure so that
for every .
Let be a Banach space with a Schauder basis, and let be a topological space. We say that a Borel measure on taking values in is positive if for every -integrable with values in , the integral belongs to . The class of positive Borel measures on with bounded variation and taking values in is denoted by .
If , let L be the continuous linear map on given by
for any . As a consequence of Proposition 2, there exists a unique measure on with values in so that
If is positive, then so is . We use this association of the measure to the measure throughout.
Let be a Banach space with an unconditional basis. For , we set . Note that when . A measure is said to be a p-Carleson measure for if
for every , where is independent of f. In the seminal work of Carleson ([1,2]), Carleson measures are defined to be used for the solution of the corona problem. The concept has found many applications, and it is still an active area of research.
3. Carleson Embeddings
3.1. Scalar Weights
Let be a bounded, circular and strictly convex domain with at least a boundary. We denote the normalized Lebesgue measure on by so that . Given , let . It is clear that for . When , the open unit ball is in ; then . A scalar weight is a function so that is non-decreasing, continuous and unbounded. We extend to by , . The growth space consists of those functions for which
Given functions u, on a set S, we write for every if there exist constants , so that for every . In this case, u and v are said to be equivalent on S. Also, on S means that for any for some absolute constant , and means that .
A scalar-valued weight function is said to be log-convex if is a convex function of on the interval . A weight function is log-convex if is convex; however, the converse is not necessarily true. The following nice characterization of the estimate for functions in is obtained by E. Abamukov and E. Doubtsov in [4] (see also [3,5]).
Theorem 4.
Let be a weight function. Let be a bounded, circular and strictly convex domain with a boundary. Then the following are equivalent:
- (i)
- There exist
- (ii)
- is equivalent to a log-convex weight function on
Moreover, is an integer that depends on Ω only.
In the rest of this paper, Ω will always denote a bounded, circular and strictly convex domain with a boundary unless otherwise stated.
The following result is basically Corollary 3 of [3] (see also [5]) when is a singleton set; we include a proof for convenience.
Theorem 5.
Let , δ be a scalar weight that is equivalent to a log-convex function, and let be a collection of positive measures on Ω. Then
if and only if
for all .
Proof.
Suppose first that for all . There exist , such that by [3]. Hence,
Conversely, suppose that the first supremum in the statement is finite. If , then
where
□
3.2. Vector-Valued Weights
A weight is said to be log-convex if
where each is scalar-valued, log-convex and for every . We say that a weight is equivalent to a log-convex function if there exist positive constants , so that on .
Also, we say that a weight is admissible if there exist and holomorphic functions on , , so that
for every . The identity map on is denoted by I. The following is the main result of this paper.
Theorem 6.
Let be a Banach lattice with an unconditional Schauder basis. Let , ω be a weight that is equivalent to a log-convex function on Ω, and let be a collection of measures in . Consider the statements below:
- (i)
- (ii)
- for all , where C is a constant that is independent of f.
Then implies . If w is admissible and takes values in , then implies .
Proof.
If , then
for each . Keeping in mind that is an isometry from onto , we see that
for each , where
Hence, if C is finite, holds.
For the converse, suppose is true and that w is admissible and takes values in . For each , choose M functions (M is independent of j) so that
for every for some constant . Let and . Then is a holomorphic function on and takes values in . In fact, a computation shows that
Hence, and . By , we obtain for each that
for some constant . Hence,
and is proved. □
An observation that is worth noting separately stems from the proof of the theorem above.
Corollary 1.
Let be a Banach space with an unconditional Schauder basis. Let ω be an admissible weight that is equivalent to a log-convex function on Ω and takes values in . Then there exist a constant and functions , so that
for every .
4. Compact Embeddings
In this section, we prove an estimate for the essential norm of the Carleson embedding, and we characterize compact embeddings of . Theorem 7 below is new even for the scalar-valued settings. For and , let denote the space of holomorphic functions so that
We assume that is a family of measures belonging to and that is a Banach space with the norm
We also assume the following for X:
- (i)
- The closed unit ball of X is compact when X is given the topology of uniform convergence on compact sets.
- (ii)
- Point evaluations are continuous on X.
The essential norm of a bounded linear operator T from to X is denoted by or simply by , and it is equal to the distance from T to the class of compact operators from to X. In other words,
Theorem 7.
Let be a Banach lattice with an unconditional Schauder basis. Let ω be an admissible weight that is equivalent to a log-convex function on Ω and that takes values in . Let , and let be a collection of measures on Ω. Suppose that the inclusion map ι is bounded from into X. Then
In particular, the following statements are equivalent:
- (i)
- is compact.
- (ii)
- .
Proof.
We may assume without loss of generality that . Then for . For functions as in Corollary 1 and an integer , we let . Then so that
for . Hence, is a bounded sequence of functions in that converge to zero uniformly on compact sets. It follows that (cf. [10,11]) if is compact, then in X for every . We estimate
Hence, .
Since is strictly convex and circular, 0 is in . For the converse, for each , let . Then is compact for each m. By the Banach–Steinhaus theorem, the sequence of operators converges to zero uniformly on the compact subsets of when is endowed with the compact open topology (cf. [10], p. 56). Since the closed unit ball of is a compact subset of , we conclude that
Therefore,
We obtain the reverse estimate . □
5. Applications: Weighted Composition Operators
Let be a Banach space with an unconditional basis . For vectors
one can define the product to be the element of obtained by multiplying coordinate-wise the coefficients of a and b. For and , let .
Let , with and . The weighted composition operator is an operator that maps into the function for all . Hence, is the composition followed by a multiplication operator. When , the constant sequence is the usual composition operator. Composition operators on function spaces are a vast subject. We refer the reader to [6,7] for the general theory.
For and a positive measure , we define a measure in by setting
for any non-negative, continuous u on that takes values in . Now, if and denote the measures obtained by applying (4) to and , respectively, as a result of Proposition 2, then
We assume in the rest of this section that is a family of measures from the class . Hence,
We assume that and are Banach spaces of holomorphic functions on with the norm given by
and X satisfies all the properties in Section 4. An application of Theorems 6 and 7 gives norm and essential norm estimates for composition operators on .
Theorem 8.
Suppose that is a Banach lattice with an unconditional Schauder basis, and ω is an admissible weight that is equivalent to a log-convex function on Ω and takes values in . Let , with and . Then the following are equivalent:
- (i)
- is bounded from into X.
- (ii)
- .
For the essential norm, we have
Therefore, the following are equivalent:
- (i)
- is compact.
- (ii)
- .
6. Discussion
This paper introduces the growth spaces: spaces of holomorphic functions with certain growth conditions and that take values in a Banach space . We believe that this is the first paper focusing on Banach-valued growth spaces in the literature. Our definition makes use of the abstract notion of the Gamma order, which is also introduced for the first time in this paper. A natural example fitting in this notion is when has an unconditional basis, in which case, the Gamma order on can be explicitly defined. The class of Banach spaces that have an unconditional basis contains most of the important spaces, such as the classical Lebesgue spaces. Any separable Hilbert space has an unconditional basis.
The growth space itself is also a Banach space. In the paper, bounded or compact embeddings of the growth spaces are completely characterized. Our results extend the results related to scalar-valued growth spaces. The compactness criteria are new even for the scalar-valued settings. We provide essential norm estimates for the embedding operator, which are also new information and are interesting on their own. As an application, a characterization of the bounded or compact generalized composition operators defined on these spaces is explicitly given.
For future research, versions of classical Banach spaces, such as Bergman, Hardy, etc., consisting of holomorphic Banach-valued functions can be defined analogously. We are planning to expand the work in this direction and the study of operators on such spaces.
The author is grateful for the comments of the reviewers, which improved the exposition of this paper.
Funding
This research was completed with the support of the TUBITAK project with grant number 123F356.
Data Availability Statement
This research is in Theoretical Mathematics. There are no used data except the ideas/concepts from some manuscripts and texts cited in the references.
Conflicts of Interest
The author declares no conflicts of interest.
References
- Carleson, L. An interpolation problem for bounded analytic functions. Am. J. Math. 1958, 80, 921–930. [Google Scholar] [CrossRef]
- Carleson, L. Interpolations by bounded analytic functions and the corona problem. Ann. Math. 1961, 76, 547–559. [Google Scholar] [CrossRef]
- Abakumov, E.; Doubtsov, E. Reverse estimates in growth spaces. Math. Z. 2012, 271, 399–413. [Google Scholar] [CrossRef]
- Abakumov, E.; Doubtsov, E. Moduli of holomorphic functions and logarithmically convex radial weights. Bull. Lond. Math. Soc. 2015, 47, 519–532. [Google Scholar] [CrossRef]
- Doubtsov, E. Growth spaces on circular domains: Composition operators and Carleson measures. C. R. Math. Acad. Sci. Paris 2009, 347, 609–612. [Google Scholar] [CrossRef]
- Cowen, C.C.; MacCluer, B.D. Composition Operators on Spaces of Analytic Functions; Studies in Advanced Mathematics; CRC Press: Boca Raton, FL, USA, 1995. [Google Scholar]
- Shapiro, J.H. Composition Operators and Classical Function Theory; Universitext: Tracts in Mathematics; Springer: New York, NY, USA, 1993. [Google Scholar]
- Aliprantis, C.D.; Burkinshaw, O. Positive Operators; Springer: Dordrecht, The Netherlands, 2006; p. xx+376. ISBN 978-1-4020-5007-7. [Google Scholar]
- Dinculeanu, N. Vector Measures; International Series of Monographs in Pure and Applied Mathematics; Pergamon Press: Oxford, UK, 1967; Volume 95. [Google Scholar]
- Lindström, M.; Makhmutov, S.; Taskinen, J. The essential norm of a Bloch-to-Qp composition operator. Can. Math. Bull. 2004, 47, 49–59. [Google Scholar] [CrossRef][Green Version]
- Tjani, M. Compact composition operators on Besov spaces. Trans. Am. Math. Soc. 2003, 355, 4683–4698. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the author. 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/).