Abstract
We consider the classical Besov and Triebel-Lizorkin spaces defined via differences and prove a homogeneity property for functions with bounded support in the frame of these spaces. As the proof is based on compact embeddings between the studied function spaces, we present also some results on the entropy numbers of these embeddings. Moreover, we derive some applications in terms of pointwise multipliers.
1. Introduction
The present note deals with classical Besov spaces and Triebel-Lizorkin spaces defined via differences, briefly denoted as B- and F-spaces in the sequel. We study the properties of the dilation operator, which is defined for every as The norms of these operators on Besov and Triebel-Lizorkin spaces were studied already in [1] and [2, Sections 2.3.1 and 2.3.2] with complements given in [3–5].
We prove the so-called homogeneity property, showing that, for and , for all and all The same property holds true for the spaces . This extends and completes [6], where corresponding results for the spaces , defined via Fourier-analytic tools, were established, which coincide with our spaces if . Concerning the corresponding F-spaces , the same homogeneity property had already been established in [7, Corollary 5.16, page 66].
Our results yield immediate applications in terms of pointwise multipliers. Furthermore, we remark that the homogeneity property is closely related with questions concerning refined localization, nonsmooth atoms, local polynomial approximation, and scaling properties. This is out of our scope for the time being. But we use this property in the forthcoming paper [8] in connection with nonsmooth atomic decompositions in function spaces.
Our proof of (1.2) is based on compactness of embeddings between the function spaces under investigation. Therefore, we use this opportunity to present some closely related results on entropy numbers of such embeddings.
This paper is organized as follows. We start with the necessary definitions and the results about entropy numbers in Section 2. Then, we focus on equivalent quasinorms for the elements of certain subspaces of and , respectively, from which the homogeneity property will follow almost immediately in Section 3. The last section states some applications in terms of pointwise multipliers.
2. Preliminaries
We use standard notation. Let be the collection of all natural numbers, and let . Let be Euclidean -space, , the complex plane. The set of multi-indices , , , is denoted by , with , as usual. We use the symbol “” in always to mean that there is a positive number such that for all admitted values of the discrete variable or the continuous variable , where , are nonnegative sequences and , are nonnegative functions. We use the equivalence “~” in for If , then and denotes the integer part of .
Given two (quasi-) Banach spaces and , we write if and the natural embedding of in is continuous. All unimportant positive constants will be denoted by , occasionally with subscripts. For convenience, let both and stand for the (-dimensional) Lebesgue measure in the sequel. , with , stands for the usual quasi-Banach space with respect to the Lebesgue measure, quasinormed by with the appropriate modification if . Moreover, let denote a domain in . Then, is the collection of all complex-valued Lebesgue measurable functions in such that (with the usual modification if ) is finite.
Furthermore, stands for an open ball with radius around the origin, Let with and denote a cube in with sides parallel to the axes of coordinates, centered at , and with side length . For a cube in and , we denote by the cube in concentric with and with side length times the side length of . Furthermore, stands for the characteristic function of .
2.1. Function Spaces Defined via Differences
If is an arbitrary function on , , and , then are the usual iterated differences. Given a function , the -th modulus of smoothness is defined by denotes its ball means.
Definition 2.1. (i) Let , and such that . Then, the Besov space contains all such that
(with the usual modification if is finite.
(ii) Let , and such that . Then, is the collection of all such that
(with the usual modification if is finite.
Remark 2.2. These are the classical Besov and Triebel-Lizorkin spaces, in particular, when ( for the F-spaces) and . We will sometimes write when both scales of spaces and are concerned simultaneously.
Concerning the spaces , the study for all admitted , , and goes back to [9], we also refer to [10, Chapter 5, Definition 4.3] and [11, Chapter 2, Section 10]. There are as well many older references in the literature devoted to the cases .
The approach by differences for the spaces has been described in detail in [12] for those spaces which can also be considered as subspaces of . Otherwise, one finds in [13, Section 9.2.2, pp. 386–390] the necessary explanations and references to the relevant literature.
The spaces in Definition 2.1 are independent of , meaning that different values of result in norms which are equivalent. This justifies our omission of in the sequel. Moreover, the integrals can be replaced by resulting again in equivalent quasinorms, (cf. [14, Section 2]).
The spaces are quasi-Banach spaces (Banach spaces if ). Note that we deal with subspaces of , in particular, for and , we have the embeddings
where ( for F-spaces). Furthermore, the B-spaces are closely linked with the Triebel-Lizorkin spaces via
(cf. [15, Proposition 1.19 (i)]). The classical scale of Besov spaces contains many well-known function spaces. For example, if , one recovers the Hölder-Zygmund spaces , that is,
Recent results by Hedberg and Netrusov [16] on atomic decompositions, and by Triebel [13, Section 9.2] on the reproducing formula provide an equivalent characterization of Besov spaces using subatomic decompositions, which introduces as those which can be represented as
with coefficients belonging to some appropriate sequence space defined as
where
(with the usual modification if and/or , , and are certain standardized building blocks (which are universal). This subatomic characterization will turn out to be quite useful when studying entropy numbers.
In terms of pointwise multipliers in , the following is known.
Proposition 2.3. Let with , and let . Then, is a linear and bounded operator from into itself.
The proof relies on atomic decompositions of the spaces , (cf. [17, Proposition 2.5]). We will generalize this result in Section 4 as an application of our homogeneity property.
2.2. Function Spaces on Domains
Let be a domain in . We define spaces by restriction of the corresponding spaces on , that is, is the collection of all such that there is a with . Furthermore, where the infimum is taken over all such that the restriction to coincides in with .
In particular, the subatomic characterization for the spaces from Remark 2.2 carries over. For further details on this subject, we refer to [18, Section 2.1].
Embeddings results between the spaces hold also for the spaces , since they are defined by restriction of the corresponding spaces on . Furthermore, these results can be improved, if we assume to be bounded.
Proposition 2.4. Let , , and be bounded. If one has the embedding
Proof. If , the embedding follows from [19, Theorem 1.15], since the spaces on are defined by restriction of their counterparts on . Therefore, it remains to show that, for , we have the embedding Let with support in the compact set and Then, for , there exists with We calculate The last inequality in (2.25) follows from Proposition 2.3. In the 2nd step, we used (2.10) together with the fact that which follows from Hölder’s inequality since is compact.
2.3. Entropy Numbers
In order to prove the homogeneity results later on, we have to rely on the compactness of embeddings between B-spaces, , and F-spaces, , respectively. This will be established with the help of entropy numbers. We briefly introduce the concept and collect some properties afterwards.
Let and be quasi-Banach spaces, and let be a bounded linear operator. If additionally, is continuous, we write . Let denote the unit ball in the quasi-Banach space . An operator is called compact if, for any given we can cover the image of the unit ball with finitely many balls in of radius .
Definition 2.5. Let be quasi-Banach spaces, and let . Then, for all , the th dyadic entropy number of is defined by where and denote the unit balls in and , respectively.
These numbers have various elementary properties which are summarized in the following lemma.
Lemma 2.6. Let , and be quasi-Banach spaces, and let and . (i)(Monotonicity) . Moreover, , provided that is a Banach space.(ii)(Additivity) If is a -Banach space , then, for all , (iii)(Multiplicativity) For all , (iv)(Compactness) is compact if and only if
Remark 2.7. As for the general theory, we refer to [20–22]. Further information on the subject is also covered by the more recent books [2, 23].
Some problems about entropy numbers of compact embeddings for function spaces can be transferred to corresponding questions in related sequence spaces. Let and be a sequence of natural numbers satisfying
Concerning entropy numbers for the respective sequence spaces , which are defined as the sequence spaces in (2.17) with the sum over replaced by a sum over , the following result was proved in [24, Proposition 3.4].
Proposition 2.8. Let , , and . Furthermore, let , Then the identity map is compact, where is restricted by (2.31).
The next theorem provides a sharp result for entropy numbers of the identity operator related to the sequence spaces .
Theorem 2.9. Let , , and . Furthermore, let , For the entropy numbers of the compact operator one has
Remark 2.10. The proof of Theorem 2.9 follows from [25, Theorem 9.2]. Using the notation from this book, we have Recall the embedding assertions for Besov spaces from Proposition 2.4. We will give an upper bound for the corresponding entropy numbers of these embeddings. For our purposes, it will be sufficient to assume .
Theorem 2.11. Let Then, the embedding is compact, and, for the related entropy numbers, one computes
Proof. Step 1. Let , , and let , then, by [26, Theorem 6.1], there is a (nonlinear) bounded extension operator
We may assume that is zero outside a fixed neighbourhood of . Using the subatomic approach for , cf. Remark 2.2, we can find an optimal decomposition of , that is,
with large.
Let for fixed be the number of cubes such that
Since is bounded, we have
This coincides with (2.31). We introduce the (nonlinear) operator ,
by
where is given by (2.43). Recall that the expansion is not unique, but this does not matter. It follows that is a bounded map since
Next we construct the linear map ,
given by
It follows that is a linear (since the subatomic approach provides an expansion of functions via universal building blocks) and bounded map,
We complement the three bounded maps ,, by the identity operator
which is compact by Proposition 2.8 and the restriction operator
which is continuous. From the constructions, it follows that
Hence, taking finally , we obtain by (2.41), where we started from. In particular, due to the fact that we used the subatomic approach, the final outcome is independent of ambiguities in the nonlinear constructions and . The unit ball in is mapped by into a bounded set in
Since the identity operator from (2.52) is compact, this bounded set is mapped into a precompact set in
which can be covered by balls of radius with
This follows from Theorem 2.9, where we used . Applying the two linear and bounded maps and afterwards does not change this covering assertion—using Lemma 2.6 (iii) and ignoring constants for the time being. Hence, we arrive at a covering of the unit ball in by balls of radius in . Inserting
in the exponent, we finally obtain the desired estimate
Step 2. Let . Since, by Proposition 2.4,
we see that
and, therefore, (2.40) is a consequence of Step 1 applied to . This completes the proof for the upper bound.
Remark 2.12. By (2.13) and the above definitions, we have In other words, any assertion about entropy numbers for B-spaces where the parameter does not play any role applies also to the related F-spaces.
Therefore, using Lemma 2.6 (iv) and Theorem 2.11, we deduce compactness of the corresponding embeddings related to B- and F-spaces under investigation.
3. Homogeneity
Our first aim is to prove the following characterization.
Proposition 3.1. Let , , and let be a real number. Then, for all with .
Proof. We will need that embeds compactly into . This follows at once from the fact that is compactly embedded into , cf. Remark 2.12, and , which is trivial.We argue similarly to [6]. We have to prove that
for every with . Let us assume that this is not true. Then, we find a sequence , such that
that is, we obtain that is bounded. The trivial estimates
imply that this is true also for . Due to the compactness of , we may assume, that in with . Using the subadditivity of , we obtain that
Together with the estimate , this implies that is a Cauchy sequence in , that is, in . Obviously, follows.
The subadditivity of used to the sum implies finally that
As is a nondecreasing function of , this implies that for all and finally for all . By standard arguments, this is satisfied only if is a polynomial of order at most . Due to its bounded support, we conclude that , which is a contradiction with .
With the help of this proposition, the proof of homogeneity quickly follows.
Theorem 3.2. Let and with . Then, with constants of equivalence independent of and .
Proof. We know from Proposition 3.1 that as . Using , we get which finally implies
The homogeneity property for Triebel-Lizorkin spaces follows similarly.
Proposition 3.3. Let , and let be a real number. Then, for all with .
Proof. We have to prove that for every with . Let us assume again that this is not true. Then, we find a sequence such that which in turn implies that is bounded. Again, the same is true also for . Due to the compactness of , we may assume that in with . A straightforward calculation shows again that is a Cauchy sequence in and, therefore, also in . Finally, we obtain or, equivalently, for almost every . Hence, for almost all and almost all . By standard arguments, it follows that must be almost everywhere equal to a polynomial of order smaller than . Together with the bounded support of , we obtain that must be equal to zero almost everywhere.
Theorem 3.4. Let and with . Then, with constants of equivalence independent of and .
Proof. We know from Proposition 3.3 that as . Using , we get using the substitution , which finally implies
4. Pointwise Multipliers
We briefly sketch an application of the above homogeneity results in terms of pointwise multipliers. A locally integrable function in is called a pointwise multiplier in if maps the considered space into itself. For further details on the subject, we refer to [27, pp. 201–206] and [28, Chapter 4]. Our aim is to generalize Proposition 2.3 as a direct consequence of Theorems 3.2 and 3.4. Again let be the balls introduced in (2.7).
Corollary 4.1. Let , , and . Let be a function having classical derivatives in up to order with for some constant . Then, is a pointwise multiplier in , where is independent of and of (but depends on ).
Proof. By Proposition 2.3, the function is a pointwise multiplier in . Then, (4.3) is a consequence of (3.7),
Remark 4.2. In terms of Triebel-Lizorkin spaces , we obtain corresponding results (assuming ) with the additional restriction on the smoothness parameter that This follows from the fact that the analogue of Proposition 2.3 for F-spaces is established using an atomic characterization of the spaces which is only true if we impose (4.5), (cf. [13, Proposition 9.14]).
Acknowledgment
Jan Vybíral acknowledges the financial support provided by the START award “Sparse Approximation and Optimization in High Dimensions” of the Fonds zur Förderung der wissenschaftlichen Forschung (FWF, Austrian Science Foundation).