A unified approach for Littlewood-Paley Decomposition of Abstract Besov Spaces
Azita Mayeli

TL;DR
This paper introduces a spectral theoretic method to unify Littlewood-Paley decompositions across various abstract Besov spaces, providing a general framework that encompasses well-known special cases.
Contribution
It develops a unified spectral theoretic approach for Littlewood-Paley decomposition in abstract Besov spaces, extending and unifying existing specific decompositions.
Findings
Unified spectral approach for Besov spaces
Generalizes known Littlewood-Paley decompositions
Applicable to various contexts and spaces
Abstract
We apply spectral theoretic methods to obtain a Littlewood-Paley decomposition of abstract inhomogeneous Besov spaces in terms of "smooth" and "bandlimited" functions. Well-known decompositions in several contexts are as special examples and are unified under the spectral theoretic approach
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Advanced Harmonic Analysis Research · Advanced Mathematical Physics Problems
A unified approach for Littlewood-Paley Decomposition of Abstract Besov Spaces
Azita Mayeli
Department of Mathematics and Computer Sciences, City University of New York, Queensborough, Bayside, 222-05 56th Ave., New York, NY 11364
Abstract.
We apply spectral theoretic methods to obtain a Littlewood-Paley decomposition of abstract inhomogeneous Besov spaces in terms of “smooth” and “bandlimited” functions. Well-known decompositions in several contexts are as special examples and are unified under the spectral theoretic approach.
Key words and phrases:
Inhomogeneous Besov space, Paley-Wiener space, Littlewood Paley decomposition
2010 Mathematics Subject Classification:
43, 46 (primary), and 41 (secondary)
1. Introduction
Besov spaces appear in many subfields of analysis and applied mathematics. In the classical setting, the Besov space is the set of functions in with smoothness degree and (quasi)norm is controlled by . There are two types of definitions for these spaces. One type uses Fourier transform (for example see [18]), and the other uses modulus of continuity. The Besov spaces defined by modulus of continuity are more practical in many areas of analysis, for example, in approximation theory. (See [4].)
To understand the structure of the Besov spaces for application purposes, it is natural to decompose a Besov function into simple building blocks and hereby to reduce the study of functions to study of only the elements in the decomposition. Wavelet and frame theory have been very useful tools to achieve this goal. A unified characterizations of Besov spaces in terms of atomic decomposition using group representation theoretic approach was given by Feichtinger and Gröchenig ([5]). In the classical level, this kind of decomposition using spectral theoretic approach was proved in [8]. New results in this direction in the context of Lie groups and homogeneous manifolds were recently published in [2]-[3], [6, 7], and [9]-[13]. In [10, 11], the authors constructed continuous and time-frequency localized wavelets and applied them to the classification of Besov spaces on the compact Riemannian manifolds.
The purpose of the present paper is to describe the norm of abstract Besov spaces when is replaced by abstract Hilbert space . Therefore other well-known descriptions of are considered as examples of our theory. The abstract Besov spaces were introduced using modulus of continuity, for example, by Lion in [17]. We use the definition in [17] and establish our results by developing a connection between “frequency content” of vectors in and their “smoothness”. We show that a vector (function) belongs to if and only if the sequence of its “filtered” versions satisfies some certain rate of norm convergence in . By this, we can identify the Besov space with the sequence space , similar to the identification of a function with its Fourier coefficients. While the idea behind such identification is simple, but the proofs are technical and main difficulties arose when is replaced by an abstract Hilbert space. The main result of this paper appears in Theorem 3.1 and its proof is given in Section 4.
Acknowledgements
The author would like to thank Professor Ronald R. Coifman for many helpful discussions and suggestions to improve the results of this paper.
2. Preliminaries
Let be a Hilbert space and be any selfadjoint positive definite operator in whose domain is dense in . The domain of contains all functions for which is finite. Let be a positive function such that , decays rapidly at infinity for all , and exists. Therefore is a Schwartz function on . Moreover, we assume that and . For , we define the operator mapping to . Then satisfies the semigroup axioms and . Let . Then and we have the following.
- (1)
for all 2. (2)
is symmetry (self-adjoint), and 3. (3)
for all .
Under the construction of the semigroup , the operator is the infinitesimal generator of semigroup . That means, in the Hilbert space norm
[TABLE]
We define the modulus of continuity for , , and with , by
[TABLE]
Following [17], the inhomogenous abstract Besov space contains all functions for which
[TABLE]
The space , , becomes a Banach space with the norm
[TABLE]
We use the standard convention for the definition of norm when .
Remark. Notice that the Besov norm dose not depend on due to the monotonicity of the modulus of continuity. Therefore, for fixed and , the all definitions of Besov spaces in terms of modulus of continuity are equivalent, so they are independent of choice of .
By the definition of the Besov spaces, it is trivial that the following inclusions hold.
[TABLE]
where is domain of the operator and is dense in under the assumptions. Also, note that, the space is a Banach space with the norm . (See for example, [14].)
By the spectral theory, the operator has a representation
[TABLE]
where is a spectral measure. Therefore, for any and one has
[TABLE]
and hence the definition for domain of becomes equivalent to
[TABLE]
For any bounded Borel measurable function on the interval , by the spectral theorem the operator is bounded with , and has an integral representation
[TABLE]
We say a vector (function) is a Paley-Wiener function with respect to the operator and belongs to for some if is supported in the interval . An equivalent definition of Paley-Wiener spaces using the so-called functional form of the spectral theorem has been given in [1].
Associated to the operator , there exists a measure on , a direct integral of Hilbert spaces , and a unitary operator which maps onto . The Hilbert space contains all -measurable vector valued functions for which
[TABLE]
It is natural to use the notation . The operator transforms domain of onto . The norm on is given by
[TABLE]
and for any in domain of is . In analogy to the classical case, we call the unitary operator the “Fourier transform” or “Plancherel transform” of , and the “Plancherel measure”.
We say is “bandlimited” if its Fourier transform has support in . It is easy to verify that belongs to the Hilbert space if and only if it is bandlimited. We say a function in is “smooth” if it lies in . One can easily prove that , so every bandlimited function is smooth.
Notations. By , we mean uniform norm. In the sequel, we will drop the indices for the norms , , and when there is no confusion. And, we use for to up some constant.
3. Littlewood-Paley decomposition
In this section we will show how to decompose an abstract Besov function in term of “smooth” and “band-limited” functions. The smoothness and bandlimitedness of a function is understood in terms of above concept. To begin with the idea, we need the following set up. Let be a bounded and real valued function such that and . Let be another real valued function with . For any , put and assume that the resolution of identity holds.
[TABLE]
Note that for , is compact supported and . By applying the spectral theorem for in (1), and under the assumptions that and are real-valued, the following version of Calderón decomposition, in complete analogy to the Euclidean space, holds:
[TABLE]
Here, the series converges in and under our assumptions, the functions are smooth and bandlimited with “Fourier support” in .
Our main result in Theorem 3.1 presents a unified description of inhomogeneous abstract Besov spaces for all in terms of smooth and bandlimited functions, as follows.
Theorem 3.1**.**
Given any , and ,
[TABLE]
with the standard modifications for , provided that both sides are finite.
By properties of the semigroup and that , one can easily prove the following estimations for operator norms for all
[TABLE]
The inequality constants are uniform in (4), i.e., they are independent of , and . We use (4) in the following lemma to provide an upper estimation for the modulus of continuity . We need some preparation before the lemma. Let and such that . Put and for .
Lemma 3.2**.**
Let , . Let be as in above. Then for any
[TABLE]
The estimation holds for by modification.
Proof.
Take and let . By Applying the discrete version of Calderon decomposition in (2), for we have
[TABLE]
So,
[TABLE]
The Hölder inequality and the relation (4) imply that
[TABLE]
This proves the assertion of the lemma for . For and , the proof can be easily obtained by some modifications and similar arguments. ∎
The decay property of near the origin is a consequence of the preceding lemma as follows.
Corollary 3.3**.**
For any
[TABLE]
4. Proof of Theorem 3.1
Theorem 3.1 is a result of Theorems 4.1 and 4.2.
Theorem 4.1**.**
Let and . Given , if , then and
[TABLE]
provided that the expression on the right is finite. The inequality also hold for with modification.
Proof.
Pick such that . Let and be as in above. Furthermore, assume that . (Note that there is a large class of pairs such that and satisfy the inequality.) Thus by Lemma 3.2 and and , we can write the following.
[TABLE]
and this completes the proof of the theorem for . For , the proof can be easily obtained by some modifications.
∎
The next theorem completes the proof of Theorem 3.1.
Theorem 4.2**.**
Let and . Given , such that , we have
[TABLE]
The inequality also hold for with modification.
Proof.
Let be the function that we had in Section 2, and . For all , define
[TABLE]
Here, is a large number that can be fixed later. Therefore, by applying functional calculus theory for (8), for all
[TABLE]
If we substitute by in (9) and then use Hölder inequality, we obtain the following inequalities.
[TABLE]
Therefore we proved that
[TABLE]
From the other side, with a simple calculation one can show that
[TABLE]
As result of (10) and (11), we get
[TABLE]
And, hence
[TABLE]
This proves the theorem if we let . ∎
Questions. These questions are still open and need to be answered. Can we remove the restriction and prove Theorem 3.1 for ? Can we prove Theorem 3.1 for ?
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