This paper extends the Walnut-Daubechies criterion to establish the invertibility of frame operators on Besov-type spaces, enabling broader applications of $L^2$ frame expansions to various function spaces.
Contribution
It generalizes the invertibility criterion for frame operators to Besov-type spaces, improving understanding of atomic decompositions and extending $L^2$ frame expansions.
Findings
01
Frame operators are invertible on Besov-type spaces under the extended criterion.
02
$L^2$ frame expansions extend to many other function spaces beyond $L^2$.
03
Operations like analysis, thresholding, and synthesis are bounded on these spaces.
Abstract
We derive an extension of the Walnut-Daubechies criterion for the invertibility of frame operators. The criterion concerns general reproducing systems and Besov-type spaces. As an application, we conclude that L2 frame expansions associated with smooth and fast-decaying reproducing systems on sufficiently fine lattices extend to Besov-type spaces. This simplifies and improves recent results on the existence of atomic decompositions, which only provide a particular dual reproducing system with suitable properties. In contrast, we conclude that the L2 canonical frame expansions extend to many other function spaces, and, therefore, operations such as analyzing using the frame, thresholding the resulting coefficients, and then synthesizing using the canonical dual frame are bounded on these spaces.
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TopicsMathematical Analysis and Transform Methods · Cell Adhesion Molecules Research · Mathematical Dynamics and Fractals
Full text
MnLargeSymbols’164
MnLargeSymbols’171
Invertibility of frame operators on Besov-type decomposition spaces
José Luis Romero
Faculty of Mathematics,
University of Vienna,
Oskar-Morgenstern-Platz 1,
A-1090 Vienna, Austria
and
Acoustics Research Institute, Austrian Academy of Sciences,
Wohllebengasse 12-14 A-1040, Vienna, Austria
We derive an extension of the Walnut-Daubechies criterion for the invertibility of frame operators.
The criterion concerns general reproducing systems and Besov-type spaces.
As an application, we conclude that L2 frame expansions associated with smooth and fast-decaying
reproducing systems on sufficiently fine lattices extend to Besov-type spaces.
This simplifies and improves recent results on the existence of atomic decompositions,
which only provide a particular dual reproducing system with suitable properties.
In contrast, we conclude that the L2 canonical frame expansions
extend to many other function spaces, and, therefore,
operations such as analyzing using the frame, thresholding the resulting coefficients,
and then synthesizing using the canonical dual
frame are bounded on these spaces.
Acknowledgments.
J. L. R. gratefully acknowledges support from the Austrian Science Fund (FWF): Y 1199 and P 29462-N35, and from the WWTF grant INSIGHT (MA16-053).
J. v. V. acknowledges support from the Austrian Science Fund (FWF): P 29462-N35.
J. v. V. is grateful for the hospitality and support
of the Katholische Universität Eichstätt-Ingolstadt during his visit.
1. Introduction
Given a countable collection (gj)j∈J of functions gj:Rd→C
and a collection (Cj)j∈J of matrices Cj∈GL(d,R),
we consider the structured function system
[TABLE]
and aim to represent a function or distribution f as a linear combination
[TABLE]
In many important examples of this formalism,
the functions gj are obtained through affine transforms (in the Fourier domain)
of a single function g.
For instance, in dimension d=1, the well-known wavelet [19]
and Gabor systems [34] are obtained as
[TABLE]
For d>1, anisotropic wavelet systems provide additional
important examples, see e.g., [12, 1, 47].
We are interested in the ability of (1.1) to reproduce all functions or distributions
f in various function spaces by a suitably convergent series (1.2).
For the Hilbert space L2(Rd) this task is significantly easier:
it amounts to establishing the frame inequalities
[TABLE]
Indeed, the norm equivalence (1.5) means that the frame operatorS:L2(Rd)→L2(Rd),
[TABLE]
is bounded and invertible on L2(Rd), and consequently (1.2) holds with
c_{j,\gamma}=\big{\langle}S^{-1}f\,\mid\,T_{\gamma}\,g_{j}\big{\rangle}.
The validity of the frame inequalities is closely related to the covering properties
of the Fourier transforms of the generating functions gj,
which is encoded in the Calderón condition:
[TABLE]
This connection is most apparent in the so-called painless case, in which the
supports of the functions gj are compact. Under this assumption,
the expansion (1.2) is a local Fourier expansion
[TABLE]
In many important cases, the functions gj are not bandlimited, but
have a well concentrated frequency profile, such as a Gaussian.
Then (1.7) is an almost-local Fourier expansion,
that one still expects to be governed by (1.6)—and,
indeed, under mild conditions, (1.6) is necessary
for (1.5) to hold [17, 30].
The formal analysis of non-painless expansions with a reproducing system (1.1)
relies on a remarkable representation of the frame operator
in the Fourier domain, namely
[TABLE]
where
tα(ξ)=∑j∈κ(α)∣detCj∣1gj(ξ)gj(ξ+α);
here, the translation nodes Λ⊆Rd and indices
κ(α)⊆J are determined by the matrices Cj
(see (5.2) below).
For Gabor expansions, the representation (1.8) is known under the name of
Walnut’s representation [63] while for wavelets it is attributed to Daubechies
and Tchamitchian [19, Chapter 3].
The theory of generalized shift-invariant systems [39, 53]
establishes the general form of (1.8) and exploits its many consequences.
For example, tight frames—that is, systems for which equality holds
in (1.5)—are characterized by a set of algebraic relations
involving the functions tα; see [39].
1.1. The Walnut-Daubechies criterion
The multiplier t0 associated with α=0 in (1.8) is precisely
the Calderón sum appearing in (1.6); that is,
[TABLE]
A powerful frame criterion arises by comparing the representation of S
given in (1.8) to the diagonal term F−1(t0⋅f),
and by estimating the corresponding discrepancy.
In the model cases of Gabor and wavelets systems, these criteria are again attached to the names
of Walnut and Daubechies, and are particularly useful for studying Gaussian wave-packets,
which have fast-decaying frequency tails, but do not yield tight frames.
A general version of the Walnut-Daubechies criterion also holds
for generalized shift-invariant systems under mild assumptions
[45, 18]; this criterion is greatly useful
in the construction of anisotropic time-scale decompositions—see e.g. [20].
The price to pay for the flexibility of the Walnut-Daubechies criterion is that it does not produce
an explicit dual system implementing the coefficient functionals f↦cj,γ
in (1.2).
Rather, it only yields an L2 norm estimate which is sufficient
to establish (1.5) but does not imply the convergence of (1.8)
in other norms.
In contrast, explicit constructions of frame pairs, that is,
frames where the coefficient functionals are given by
[TABLE]
for another reproducing system {hj:j∈J}, naturally extend
to many other Banach spaces besides L2(Rd).
These spaces are determined by the concentration of the Fourier support of the generators gj,
and are generically called Besov-type spaces
[56, Chapter 2] [58].
The model case is given by (1.3), where the functions gj
form a so-called Littlewood-Paley decomposition.
The goal of this article is to derive a variant of the Walnut-Daubechies criterion
which implies that the frame operator is invertible in such Besov-type spaces.
1.2. Besov-type decomposition spaces
For the informal definition of Besov-type spaces, fix a cover Q=(Qi)i∈I
of a full measure open subset in the Fourier domain Rd.
We impose a mild admissibility condition by limiting the number of overlaps
between different elements of Q—see Section 3 for the precise condition.
Given a suitable partition of unity (φi)i∈I subordinate to Q,
together with a suitable (so-called Q-moderate) weight function w:I→(0,∞),
the space D(Q,Lp,ℓwq), for p,q∈[1,∞], is defined as the space
of distributions f satisfying
[TABLE]
where F−1 denotes the inverse Fourier transform.
Provided that an adequate notion of distribution is used in the definitions,
the spaces D(Q,Lp,ℓwq) form Banach spaces and are independent of the
particular (sufficiently regular) partition of unity used to define them.
The construction of Besov-type spaces follows the so-called
decomposition method [56, Chapter 2],
[58, Section 1.2], yielding an instance of the so-called
spaces defined by decomposition methods [55],
or decomposition spaces [57, 23] in more abstract settings.
This is why we also use the term Besov-type decomposition spaces.
Uniform Besov-type spaces, associated with
the cover Q consisting of integer translates of a cube,
are known as modulation spaces [22],
while a dyadic frequency cover yields the usual
Besov spaces [27, 49]
—see also [56, Section 2.2].
When the cover is generated by powers of an expansive matrix, one obtains anisotropic Besov spaces
[56, 12, 13, 8].
We remark that the range of spaces defined by (1.9)
does not include Triebel-Lizorkin spaces [28].
1.3. Overview of the results
We state a simplified version of our main results for systems of the form (1.1)
with generating functions gj∈L1(Rd)∩L2(Rd)
with g∈C∞(Rd), given by
[TABLE]
for (invertible) affine maps Sj=Aj(⋅)+bj
and translation matrices Cj=δAj−t with δ>0.
The parameter δ>0 is a resolution parameter
that controls the density of the translation nodes in (1.1).
In order to define Besov-type spaces adapted to the frequency concentration
of the system (gj)j∈J, we also consider an affinely generated coverQ=(Qj)j∈J of the form Qj=AjQ+bj.
If g is mostly concentrated inside the basic set Q, then
(1.10) implies that gj is localized around Qj.
Under these assumptions, the Calderón condition reads
[TABLE]
which means that (gj)j∈J
is approximately a partition of unity adapted to Q.
The following is our main result, proved in Section 7.3.
Theorem 1.1**.**
For each affinely generated cover
Q=(AjQ+bj)j∈J=(SjQ)j∈J of an open,
co-null set O⊂Rd, and each Q-moderate weight w=(wj)j∈J,
there exists a constant Cd,Q,w with the following property:
Suppose that (gj)j∈J is compatible with Q in the sense of (1.10)
and that the Calderón condition (1.11) holds.
Moreover, suppose that
[TABLE]
and that
M_{1}:=\max\big{\{}\sup_{i\in J}\sum_{j\in J}M_{i,j},\;\sup_{j\in J}\sum_{i\in J}M_{i,j}\big{\}}<\infty,
where
[TABLE]
and
L_{i,j}:=\max\big{\{}\frac{w_{i}}{w_{j}},\frac{w_{j}}{w_{i}}\big{\}}\cdot\big{(}\max\{1,\|A_{i}^{-1}A_{j}\|^{2}\}\,\max\{1,\|A_{j}^{-1}A_{i}\|^{3}\}\big{)}^{d+1}
for i,j∈J.
Choose δ>0 such that
[TABLE]
Then the frame operator associated to
(TδAj−tkgj)j∈J,k∈Zd
is well-defined, bounded, and invertible on D(Q,Lp,ℓwq) for all p,q∈[1,∞].
The value of the constant Cd,Q,w is given in Theorem 7.5 below.
The quantities M0 and M1 in Theorem 1.1 control the interaction
between the generators gj and the elements of the cover Q.
In contrast to the classical L2 Walnut-Daubechies criterion,
the derivatives of g are now involved.
We also prove a more technical version of Theorem 1.1 in which the generators
need not exactly be affine images (in the Fourier domain) of a single function,
but only approximately so.
This is important, for example, to describe non-homogeneous time-scale systems,
which contain a low-pass and a high-pass window.
We refer the reader to [62] for a detailed discussion of concrete examples
and calculations that can be used also in our framework.
Although the constant Cd,Q,w in Theorem 1.1 is explicit,
it is too large to be used as a guide for concrete numerical implementations.
We also derive a version of the criterion with more favorable constants,
but which only provides expansions on L2-based Besov-type spaces;
see Section 5.5.
A result closely related to Theorem 1.1 was recently obtained
by the third named author in [62]—see the discussion below.
While our techniques are significantly different from those in [62]—and,
indeed, we regard the simplicity of the present methods a main contribution—we remark that
we make use of several auxiliary results obtained in [62].
Under the conditions of Theorem 1.1,
the coefficient and reconstruction operators
[TABLE]
define bounded operators between the Besov-type space D(Q,Lp,ℓwq)
and suitable sequence spaces (see Section 4).
As a consequence, the invertibility of the frame operator on the spaces D(Q,Lp,ℓwq)
implies that the L2-convergent canonical frame expansions
[TABLE]
extend to series convergent in Besov-type norms (or weak-∗-convergent for p=∞ or q=∞).
In more technical terms, the canonical Hilbert-space dual frame{S−1Tγgj:j∈J,γ∈CjZd}
provides a Banach frame and an atomic decomposition
for the Besov-type spaces D(Q,Lp,ℓwq).
This is a novel feature of Theorem 1.1:
other results on the existence of series expansions, based on so-called oscillation estimates,
show that the coefficient and reconstruction maps (1.12) are respectively
left and right invertible on the Besov-type spaces, but do not yield consequences
for the Hilbert space pseudo-inverses C†=S−1D
and D†=CS−1
[24, 33, 62].
In contrast, Theorem 1.1 concerns C†,D†—see Corollary 7.6—and implies that operations
on the canonical frame expansions (1.13) that decrease
the magnitude of the coefficients, such as thresholding, are uniformly bounded in Besov-type norms.
More precisely, if for each j∈J and γ∈CjZd,
we are given a function Φj,γ:C→C satisfying
∣Φj,γ(x)∣≤C∣x∣, then the maps
[TABLE]
and
[TABLE]
are bounded (possibly non-linear) operators on all of the spaces D(Q,Lp,ℓwq).
In particular, frame multipliers with bounded symbols—see e.g. [7]—define
bounded operators on Besov-type spaces.
1.4. Related work
The theory of localized frames.
The uniform frequency cover {(−1,1)d+k:k∈Zd}—which gives rise to Gabor systems
(1.4)—is special in that every reproducing system (1.1)
satisfying the frame inequalities (1.5),
and mild smoothness and decay conditions, provides also expansions for other Banach spaces
(the precise range of spaces being determined by the particular smoothness and decay of the generators).
Indeed, the theory of localized frames [4, 5, 35] implies that
the frame operator is invertible on modulation spaces.
Similar results hold for Lp spaces [43, 6].
Thus, in these cases, the classical Walnut-Daubechies criterion has consequences
for Banach spaces besides L2—without having to adjust the density δ—and
Theorem 1.1 does not add anything interesting.
The key tool of the theory of localized frames is the spectral invariance of certain matrix algebras.
Such tools are not applicable to general admissible covers as considered in this article.
Indeed, it is known that the frame operator associated with certain smooth and fast-decaying wavelets
with several vanishing moments fails to be invertible on Lp-spaces
[46, Chapter 4].
In connection to this point, we mention that the Mexican hat wavelet satisfies Daubechies criterion,
but the validity of the corresponding Lp expansions was established only recently
with significant ad-hoc work [15].
Almost painless generators and homogeneous covers.
There is a well-developed literature related to the so-called painless expansions
on decomposition spaces.
The first construction of Banach frames for general decomposition spaces was given
by Borup and Nielsen [11] using bandlimited generators.
This construction was then complemented with a delicate perturbation argument to produce compactly
supported frames [48]—see also [44, 16].
The constructions in [48]
for Besov-type spaces are restricted to so-called homogeneous covers, which are generated
by applying integer powers of a matrix to a given set.
This restriction rules out some important examples such as inhomogeneous dyadic covers
and many popular wavepacket systems.
Invertibility of the frame operator versus existence of left and right inverses.
The first construction of time-scale decompositions proceeded by discretizing
Calderón’s reproducing formula through Riemann-like sums [29].
A similar approach works for the voice transform associated with any integrable
unitary representation and is the basis of the so-called coorbit theory [24].
To some extent, those techniques extend to any integral transform,
provided that one can control its modulus of continuity [38].
Such an approach was used by the third named author to construct compactly supported
Banach frames and atomic decompositions in Besov-type spaces [62].
The main result of [62] is qualitatively similar
to Theorem 1.1, but only concludes the existence of left and right inverses
for the coefficient and synthesis maps, acting on respective Banach spaces.
In contrast, we show that the Hilbert space frame operator is simultaneously invertible
on all the relevant Banach spaces.
The advantage of the present approach is that we are able to show that
the Hilbert spaces series—which are defined by minimizing the ℓ2 norm
of the coefficients in (1.2)—extend to series convergent in Besov-type spaces, and thus many operations on the canonical frame expansion are
also shown to be bounded in Besov-type spaces.
On the other hand, there are situations in which there exists a left inverse for the coefficient operator (or a right inverse for the reconstruction operator), but the frame operator is not invertible.
For example, a wavelet system generated by a smooth mother wavelet without vanishing moments can generate an atomic decomposition for the Besov spaces Bp,qs(Rd) of strictly positive smoothness s>0 without yielding a frame [62, Proposition 8.4]. Such examples are not covered by our results.
Quasi-Banach spaces.
We do not treat the quasi-Banach range p,q∈(0,∞],
which is treated in [62].
We expect the tools developed in [62] for treating the quasi-Banach range
to be also applicable to the present setting, and to yield an extension
of our main results to the quasi-Banach range.
1.5. Technical overview and organization
Our approach is as follows:
we consider the Walnut-Daubechies representation (1.8) of the frame operator
and bound the discrepancy between Sf and the diagonal term
\mathcal{F}^{-1}\big{(}t_{0}\cdot\widehat{f}\,\big{)} in a Besov-type norm.
To this end, we estimate each Fourier multiplier tα with a Sobolev embedding,
and control the inverse Fourier multiplier 1/t0 by directly bounding the terms
in Faà di Bruno’s formula.
The main estimates are derived in decreasing level of generality.
We first consider very general covers Q=(Qi)i∈I and an abstract notion of molecule,
which models the interaction between the generators gj of the system (Tγgj)j∈J,γ∈CjZd
and the elements Qi of the cover Q.
Here, the associated index sets I and J do not need to coincide.
We then provide simplified estimates for affinely generated covers.
The limiting cases p,q=∞ involve delicate approximation arguments
that may be of independent interest.
The paper is organized as follows:
Section 2 introduces notation and preliminaries.
Besov-type spaces are introduced in Section 3.
Section 4 treats the boundedness of the
coefficient, synthesis and frame operators on suitable spaces.
Section 5 is concerned with the invertibility
of the frame operator and provides estimates for the abstract Walnut-Daubechies criterion.
These estimates are further simplified in Sections 6
and 7 for affinely generated covers
and suitably adapted generating functions.
Several technical results are deferred to the appendices.
2. Notation and preliminaries
2.1. General notation
We let N:={1,2,3,…}, and N0:=N∪{0}.
For n∈N0, we write n:={1,...,n};
in particular, 0=∅.
For a multi-index β∈N0d, its length is
∣β∣=∑i=1d∣βi∣.
The conjugate exponent p′ of p∈(1,∞) is defined
as p′:=p−1p.
We let 1′:=∞ and ∞′:=1.
Given two functions f,g:X→[0,∞), we write f≲g provided that
there exists a constant C>0 such that f(x)≤Cg(x) for all x∈X.
We write f≍g for f≲g and g≲f.
The dot product of x,y∈Rd is written
x⋅y:=∑i=1dxiyi.
The Euclidean norm of a vector x∈Rd is denoted by ∣x∣:=x⋅x.
The open Euclidean ball, with radius r>0 and center x∈Rd,
is denoted by Br(x), and the corresponding closed ball is denoted by Br(x).
More generally, the closure of a set M⊆Rd is denoted by M.
The cardinality of a set X will be denoted by ∣X∣∈N0∪{∞}.
The Lebesgue measure of a Borel measurable set E⊂Rd will be denoted
by λ(E).
Given a subset M⊂X, we define its indicator function\mathds1M:X→{0,1} by requiring \mathds1M(x)=1 if x∈M
and \mathds1M(x)=0 otherwise.
For a matrix M∈CI×J, its Schur norm is defined as
[TABLE]
A matrix M∈CI×J satisfying ∥M∥Schur<∞
is said to be of Schur-type.
A Schur-type matrix M∈CI×J induces a bounded linear operator
\mathbf{M}:\ell^{p}(J)\to\ell^{p}(I),\;(c_{j})_{j\in J}\mapsto\big{(}\sum_{j\in J}M_{i,j}c_{j}\big{)}_{i\in I},
with ∥M∥ℓp→ℓp≤∥M∥Schur for all p∈[1,∞];
this is called Schur’s test.
For a proof of a (weighted) version of Schur’s test, cf. [37, Lemma 4].
2.2. Fourier analysis
The translate of f:Rd→C by y∈Rd is denoted by
Tyf(x)=f(x−y).
We denote by Rd the Fourier domain of Rd.
Modulation of f:Rd→C by ξ∈Rd is denoted by
Mξf(x):=e2πiξ⋅xf(x).
The Fourier transform
F:L1(Rd)→C0(Rd),f↦f
is normalized as
[TABLE]
for ξ∈Rd.
Similarly normalized, we define
F:L1(Rd)→C0(Rd).
The inverse Fourier transform F−1f:=f(−⋅)∈C0(Rd)
of f∈L1(Rd) will occasionally also be denoted by \widecheckBlubf.
Similar notation will be used for the (unitary) Fourier-Plancherel transform
F:L2(Rd)→L2(Rd).
The test space of compactly supported, smooth functions on an open set
O⊂Rd will be denoted by Cc∞(O).
The topology on Cc∞(O) is taken to be the usual topology
defined through the inductive limit of Fréchet spaces;
see [54, Section 6.2] for the details.
The sesquilinear dual pairing between D(O):=Cc∞(O)
and its dual D′(O) is given by
⟨f∣g⟩D′,D:=f(g)
for f∈D′(O) and g∈Cc∞(O).
The Schwartz space is denoted by
S(Rd) and its topological dual will be denoted by S′(Rd).
The canonical extension of the Fourier transform to S′(Rd)
is denoted by F:S′(Rd)→S′(Rd), that is,
⟨Ff,g⟩S′,S=⟨f,Fg⟩S′,S for
f∈S′(Rd) and g∈S(Rd).
We denote bilinear dual pairings by ⟨⋅,⋅⟩,
while ⟨⋅∣⋅⟩ denotes a sesquilinear dual pairing,
which is anti-linear in the second component.
Lastly, for p∈[1,∞] we define
FLp(Rd):={f:f∈Lp(Rd)}⊂S′(Rd),
equipped with the norm ∥f∥FLp:=∥F−1f∥Lp.
Here, note that ∥f⋅g∥FLp≤∥f∥FL1⋅∥g∥FLp,
where the exact nature of the product f⋅g is explained in more detail
in Definition 5.5.
Furthermore, for any invertible affine-linear map S:Rd→Rd, one has
∥f∘S∥FL1=∥f∥FL1.
2.3. Amalgam spaces
Let U⊂Rd be a bounded Borel set with non-empty interior.
The Amalgam spaceWU(L∞,L1) is the space of
all f∈L∞(Rd) satisfying
[TABLE]
The (closed) subspace of WU(L∞,L1) consisting of continuous
functions is denoted WU(C0,L1).
The space W(L∞,L1):=WU(L∞,L1) is independent of the choice of U,
with equivalent norms for different choices.
In particular, if A∈GL(Rd), then
[TABLE]
an identity that will be used repeatedly.
It is readily seen that the space WU(L∞,L1) is an L1-convolution module;
that is, if f∈L1(Rd) and g∈WU(L∞,L1),
then the product f∗g∈WU(L∞,L1), with
∥f∗g∥WU(L∞,L1)≤∥f∥L1∥g∥WU(L∞,L1),
simply because of
\|f\ast g\|_{L^{\infty}(U+x)}\leq\big{(}|f|\ast[y\mapsto\|g\|_{L^{\infty}(U+y)}]\big{)}(x).
Lastly, there is an equivalent discrete norm on W(L∞,L1), namely
[TABLE]
The global component in this norm is denoted by ℓ1 rather than L1
in order to distinguish it from ∥⋅∥WU(L∞,L1).
The norm ∥⋅∥W(C0,ℓ1) is simply the restriction of
∥⋅∥W(L∞,ℓ1) to WU(C0,L1).
The reader is referred to [40, 26] for background on amalgam spaces
and to [21] for a far-reaching generalization
that includes the combination of smoothness and decay conditions.
3. Besov-type spaces
This section introduces decomposition spaces, and related notions such as covers,
weights and bounded admissible partitions of unity (BAPUs).
3.1. Covers and BAPUs
Definition 3.1**.**
Let O=∅ be an open subset of Rd.
A family Q=(Qi)i∈I of subsets Qi⊂O is
called an admissible cover of O if
(i)
Q is a cover of O, that is,
O=⋃i∈IQi;
2. (ii)
Qi=∅ for all i∈I;
3. (iii)
NQ:=supi∈I∣i∗∣<∞,
where i∗:={ℓ∈I:Qℓ∩Qi=∅}
for i∈I.
A sequence w=(wi)i∈I in (0,∞) is called a
Q-moderate weight if
[TABLE]
For a weightw=(wi)i∈I in (0,∞) and an exponent
q∈[1,∞], we define
[TABLE]
The significance of a Q-moderate weight is that the associated
Q-clustering map is well-defined and bounded.
The precise statement is as follows; see [60, Lemma 4.13].
Lemma 3.2**.**
Let q∈[1,∞]. Suppose that Q=(Qi)i∈I is an admissible
cover of an open subset O⊂Rd
and that the weight w=(wi)i∈I is
Q-moderate. Then the Q-clustering map
[TABLE]
where
ci∗:=∑ℓ∈i∗cℓ,
is well-defined and bounded, with
∥ΓQ∥ℓwq→ℓwq≤Cw,Q⋅NQ.
The next definition clarifies our assumptions regarding the partitions of unity
that are suitable for defining the decomposition space norm.
Definition 3.3**.**
Let Q=(Qi)i∈I be an admissible cover of
an open subset ∅=O⊂Rd.
A family Φ=(φi)i∈I is called a
bounded admissible partition of unity (BAPU), subordinate to Q, if
(i)
φi∈Cc∞(O)⊂S(Rd) for all i∈I;
2. (ii)
∑i∈Iφi(ξ)=1 for all
ξ∈O;
3. (iii)
φi(ξ)=0 for all ξ∈O∖Qi
and all i∈I;
4. (iv)
CΦ:=supi∈I∥F−1φi∥L1<∞.
The cover Q is called a
decomposition cover if there exists a BAPU subordinate to Q.
Given a decomposition cover Q=(Qi)i∈I of
an open set ∅=O⊂Rd, it will be assumed throughout this article
that a BAPU Φ=(φi)i∈I for Q=(Qi)i∈I is fixed.
Definition 3.4**.**
Let O=∅ be an open subset of Rd.
A family Q=(Qi)i∈I of subsets Qi⊂O is
called an affinely generated cover of O if, for each
i∈I, there are Ai∈GL(d,R) and
bi∈Rd and an open subset Qi′⊂Rd with
Qi=Ai(Qi′)+bi satisfying the following:
(i)
Q is an admissible cover of O;
2. (ii)
the sets (Qi′)i∈I are uniformly bounded, that is,
[TABLE]
3. (iii)
for indices i,ℓ∈I with
Qi∩Qℓ=∅, the transformations
Ai(⋅)+bi and Aℓ(⋅)+bℓ
are uniformly compatible, that is,
[TABLE]
and moreover,
for each i∈I, there is an open set Qi′′⊂Rd such that
(iv)
the closure Qi′′⊂Qi′ for all i∈I;
2. (v)
the family (Ai(Qi′′)+bi)i∈I covers O; and
3. (vi)
the sets {Qi′:i∈I} and {Qi′′:i∈I}
are finite.
Remark 3.5*.*
An affinely generated cover is also called an (almost) structured cover
in the literature, see for instance [60] and [11]
for similar notions.
In the sequel, the map Si:Rd→Rd∑j
will always denote an affine linear mapping ξ↦Aiξ+bi
for some Ai∈GL(d,R) and bi∈Rd.
Definition 3.6**.**
Let \mathcal{Q}=\big{(}S_{i}(Q_{i}^{\prime})\big{)}_{i\in I} be an affinely generated cover of O,
and let Φ=(φi)i∈I be a smooth partition of unity subordinate to Q.
For i∈I, define the normalization of φi by
φi♭:=φi∘Si.
The family Φ=(φi)i∈I is called
a regular partition of unity, subordinate to Q, if
[TABLE]
for all multi-indices α∈N0d.
The following result shows that every affinely generated cover is a decomposition cover.
Let \mathcal{Q}=\big{(}S_{i}(Q_{i}^{\prime})\big{)}_{i\in I} be an affinely generated cover of O.
Then the following hold:
(1)
Every regular partition of unity Φ subordinate to Q
is also a BAPU subordinate to Q.
2. (2)
There exists a regular partition of unity Φ=(φi)i∈I
subordinate to Q.
3.2. Besov-type spaces
We introduce Besov-type spaces following the approach
in [56], which relies on
the space of Fourier distributions.
Since we only treat the Besov-type scale of spaces, we allow for rather general covers.
More restrictions would be necessary to include the Triebel-Lizorkin scale,
because the corresponding theory relies on inequalities for maximal functions;
see [55, Section 3.6], [56, Section 2.4.3],
and also [47].
Definition 3.8**.**
Let O=∅ be open in Rd. The space
Z(O):=F(Cc∞(O))
is called the Fourier test function space on O.
The space Z(O) is endowed with the unique topology making the
Fourier transform F:Cc∞(O)→Z(O)
into a homeomorphism.
The topological dual space (Z(O))′ of
Z(O) is denoted by Z′(O) and is called the
space of Fourier distributions.
The (bilinear) dual pairing between Z′(O) and Z(O)
will be denoted by
⟨ϕ,f⟩Z′,Z:=⟨ϕ,f⟩Z′:=⟨ϕ,f⟩:=ϕ(f)
for ϕ∈Z′(O) and f∈Z(O).
The Fourier transformϕ∈D′(O) of a Fourier distribution
ϕ∈Z′(O) is defined by duality; i.e.,
[TABLE]
which entails
⟨Fϕ,f⟩D′,D=⟨ϕ,Ff⟩Z′,Z
for ϕ∈Z′(O) and f∈Cc∞(O).
Using the Fourier distributions as a reservoir, a decomposition space is defined as
follows:
Definition 3.9**.**
Let p,q∈[1,∞]. Let Q=(Qi)i∈I be a
decomposition cover of an open set ∅=O⊂Rd with
associated BAPU (φi)i∈I.
Let w=(wi)i∈I be Q-moderate.
For f∈Z′(O), set
[TABLE]
and define the associated decomposition spaceD(Q,Lp,ℓwq) as
[TABLE]
Remark 3.10*.*
The norm (3.2) is well-defined: If f∈Z′(O),
then f∈D′(O), whence
φi⋅f is a (tempered) distribution with compact
support.
By the Paley-Wiener theorem [54, Theorem 7.23],
it follows therefore that F−1(φi⋅f)
is given by a smooth function.
In addition, D(Q,Lp,ℓwq) is a Banach space
and independent of the choice of the BAPU (φi)i∈I,
with equivalent norms for different choices;
see [60, Corollary 3.18 and Theorem 3.21].
Remark 3.11*.*
Our presentation follows [60, 62]
and relies on the original approach of [56, 58],
specially in the use of Fourier distributions, which is essential for the more technical aspects
of our results.
More abstract versions of Besov-type spaces replace the Fourier transform
by an adequate symmetric operator [57] or use a more general Banach space of functions
on a locally compact space in lieu of the Fourier image of Lp [23].
This latter (far reaching) generalization is particularly useful
to model signal processing applications, such as sampling.
In the sequel, we will often prove our results on the subspace
SO(Rd):=F−1(Cc∞(O))⊂S(Rd)
of the space D(Q,Lp,ℓwq), and then extend
to all of D(Q,Lp,ℓwq) by a suitable density argument.
These density arguments rely on the following concept.
Definition 3.12**.**
Let I be an index set, and let w=(wi)i∈I be a weight.
For a sequence F=(Fi)i∈I of functions Fi∈Lp(Rd), we write
\|F\|_{\ell_{w}^{q}(I;L^{p})}:=\big{\|}(\|F_{i}\|_{L^{p}})_{i\in I}\big{\|}_{\ell_{w}^{q}}\in[0,\infty],
and set
[TABLE]
Let Q=(Qi)i∈I be a decomposition cover of an open set
O⊂Rd with BAPU Φ=(φi)i∈I,
and let F=(Fi)i∈I be a family of functions Fi:Rd→[0,∞).
A Fourier distribution f∈Z′(O) is said to be (F,Φ)-dominated if,
for all i∈I,
[TABLE]
We next state our density result; its proof is postponed to Appendix B.
Proposition 3.13**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set
∅=O⊂Rd with BAPU Φ=(φi)i∈I
and let w=(wi)i∈I be a Q-moderate weight.
Then
(i)
The inclusion
SO(Rd)⊂D(Q,Lp,ℓwq)
holds for all p,q∈[1,∞].
2. (ii)
If p,q∈[1,∞), then SO(Rd) is norm
dense in D(Q,Lp,ℓwq).
3. (iii)
If p,q∈[1,∞] and f∈D(Q,Lp,ℓwq),
then there exist F∈ℓwq(I;Lp) satisfying
[TABLE]
and a sequence (gn)n∈N of (F,Φ)-dominated
functions gn∈SO(Rd) such that
gn→f, with convergence in Z′(O).
Remark 3.14*.*
The inclusion SO(Rd)⊂D(Q,Lp,ℓwq)⊂Z′(O)
in Proposition 3.13(i) should be understood
in the following sense:
Clearly SO(Rd)⊂S(Rd)↪S′(Rd),
where as usual a function f∈S(Rd) is identified
with the distribution ϕ↦∫f⋅ϕdx.
But since Z(O)↪S(Rd),
each f∈S′(Rd)
restricts to an element of Z′(O); in particular, each
f∈SO can be seen as an element of Z′(O) by virtue of
⟨f,ϕ⟩Z′,Z=∫f⋅ϕdx.
Under this identification, the Fourier transform
Ff∈D′(O) is just the usual
f∈S(Rd), interpreted as a distribution on O.
As a companion to the above density result, the following Fatou property
of the decomposition spaces D(Q,Lp,ℓwq) will be used.
For the proof, see [31, Lemma 36].
Lemma 3.15**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set
∅=O⊂Rd.
Let w=(wi)i∈I be a Q-moderate weight, and let p,q∈[1,∞].
Suppose that (fn)n∈N is a sequence in D(Q,Lp,ℓwq) such that
liminfn→∞∥fn∥D(Q,Lp,ℓwq)<∞ and
fn→f∈Z′(O), with convergence in Z′(O).
Then f∈D(Q,Lp,ℓwq), with associated norm estimate
∥f∥D(Q,Lp,ℓwq)≤liminfn→∞∥fn∥D(Q,Lp,ℓwq).
3.3. The extended pairing
We will use the following extension of the L2-inner product.
Definition 3.16**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set
∅=O⊂Rd.
Let Φ=(φi)i∈I∑j be a
BAPU subordinate to Q.
For f∈Z′(O) and g∈L1(Rd) with
g∈C∞(Rd), define the
extended inner product between f and g as
[TABLE]
provided that the series on the right-hand side converges absolutely.
Remark 3.17*.*
\hyper@anchor@currentHref
(i)
For f∈L2(Rd) satisfying f≡0 almost everywhere on
Rd∖O and for g∈L1(Rd)∩L2(Rd)
with g∈C∞(Rd),
the extended inner product defined above coincides with the
standard inner product on L2.
Indeed, since ∣φi(ξ)∣≤∥φi∥FL1≤CΦ
and thus ∑i∈I∣φi(ξ)∣≤NQCΦ,
we can apply the dominated convergence theorem to see that
[TABLE]
2. (ii)
In general, it is not clear whether the extended inner product defined above is
independent of the chosen BAPU.
However, as we will show in Lemma 4.4,
the extended pairing is independent of this choice under suitable hypotheses.
4. Boundedness of the frame operator
In this section, we present conditions under which the frame operator associated
with a generalized shift-invariant system is well-defined and bounded
on Besov-type decomposition spaces.
These conditions involve the interplay between smoothness and decay of the generators
and the underlying frequency cover.
See also [52, Section 2] and [62] for related estimates.
4.1. Generalized shift-invariant systems
Definition 4.1**.**
Let J be a countable index set.
For j∈J, let Cj∈GL(d,R)
and gj∈L2(Rd).
A generalized shift-invariant (GSI) system,
associated with (gj)j∈J and (Cj)j∈J,
is defined as
[TABLE]
Throughout the paper, we assume the following standing hypotheses on the system.
Standing hypotheses.
The generators (gj)j∈J of (Tγgj)j∈J,γ∈CjZd will be assumed to satisfy
gj∈L1(Rd)∩L2(Rd) and gj∈C∞(Rd).
Moreover, we will use the function t0:=∑j∈J∣detCj∣−1∣gj∣2
for which we assume that there exist constants A,B>0 such that
[TABLE]
Remark 4.2*.*
The assumption (4.1) is automatically satisfied
for any generalized shift-invariant frame(Tγgj)j∈J,γ∈CjZd for L2(Rd),
with frame bounds A,B>0, if it satisfies the so-called
α-local integrability condition (5.1) introduced below.
For a proof, see [30, Theorem 3.13 and Remark 5]
and [39, Proposition 4.1].
Given the GSI system (Tγgj)j∈J,γ∈CjZd, the associated
frame operator is formally defined as
[TABLE]
For analyzing the boundedness and well-definedness of the frame operator,
the following terminology will be convenient.
Definition 4.3**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set O⊂Rd
with BAPU (φi)i∈I. Let w=(wi)i∈I
and v=(vj)j∈J be weights.
The system (Tγgj)j∈J,γ∈CjZd is said to be (w,v,Φ)-adapted
if the matrix M∈CI×J defined by
[TABLE]
is of Schur-type.
Lemma 4.4**.**
Let Q=(Qi)i∈I be a decomposition cover with BAPU Φ.
Let w=(wi)i∈I be a Q-moderate weight and let the weight v=(vj)j∈J
be arbitrary.
(i)
If (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted, then (Tγgj)j∈J,γ∈CjZd is (w,v,Ψ)-adapted
for any BAPU Ψ subordinate to Q.
2. (ii)
If (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted,
then the extended inner product ⟨f∣TCjkgj⟩Φ
is well-defined and independent of the choice of the BAPU Φ,
for any p,q∈[1,∞], any f∈D(Q,Lp,ℓwq),
and all j∈J and k∈Zd.
Proof.
We assume throughout that
Φ=(φi)i∈I and Ψ=(ψi)i∈I are two BAPUs subordinate to Q.
We first show that if (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted,
then (Tγgj)j∈J,γ∈CjZd is also (w,v,Ψ)-adapted.
For this, note that
(f\ast g)(Cx)=|\det C|\cdot\big{(}(f\circ C)\ast(g\circ C)\big{)}(x)
for any f∈L1(Rd), g∈L1(Rd)∩L∞(Rd), and C∈GL(d,R).
Using this, together with ψi=φi∗ψi, yields
[TABLE]
where C≥1 is given by the norm equivalence
∥⋅∥W(L∞,ℓ1)≍∥⋅∥W(L∞,L1).
Using the moderateness of the weight w
and the equivalence ℓ∈i∗⟺i∈ℓ∗,
we obtain that
[TABLE]
for all j∈J.
Similarly,
[TABLE]
for all i∈I.
In combination, these two estimates show that N=(Ni,j)i∈I,j∈J
is of Schur-type.
Finally, let p,q∈[1,∞] and f∈D(Q,Lp,ℓwq),
as well as j∈J and k∈Zd be arbitrary; we show that the extended product
⟨f∣TCjkgj⟩Φ is well-defined and that
⟨f∣TCjkgj⟩Φ=⟨f∣TCjkgj⟩Ψ.
To show this, set
Bj,i:=∣detCj∣1/2⋅∥(\widecheckBlubφi∗gj)∘Cj∥W(C0,ℓ1).
Since (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted, Schur’s test shows that
\mathbf{B}:\ell_{w}^{q}(I)\to\ell_{v}^{q}(J),(c_{i})_{i\in I}\mapsto\Big{(}\sum_{i\in I}B_{j,i}\,c_{i}\Big{)}_{j\in J}
is well-defined and bounded.
Define di:=∥F−1(φi⋅f)∥Lp
and ci:=∥F−1(φi∗⋅f)∥Lp∑j,
and note that
0≤ci≤∑ℓ∈i∗dℓ=(ΓQd)i,
whence c=(ci)i∈I∈ℓwq(I), since d=(di)i∈I∈ℓwq(I)
as f∈D(Q,Lp,ℓwq).
As the final setup, let p′∈[1,∞] denote the conjugate exponent to p,
and set g:=TCjkgj.
Since ∥f∥Lp′≤∥f∥W(C0,ℓ1) for all f∈W(C0,ℓ1)
and since \widecheckBlubφi∗g=TCjk(\widecheckBlubφi∗gj),
it follows that
[TABLE]
Using that φi=φi∗φi,
and g∈C∞(Rd), we next see
[TABLE]
where the right-hand side is independent of ℓ.
Given this estimate, it follows immediately that
[TABLE]
Therefore, we can interchange the sums in the following calculation:
[TABLE]
This calculation implies in particular that both ⟨f∣g⟩Φ
and ⟨f∣g⟩Ψ are well-defined.
∎
4.2. Sequence spaces and operators
The frame operator can be factored into the coefficient and the reconstruction operator.
In this subsection, we investigate the boundedness of these operators on suitable sequence spaces.
Definition 4.5**.**
Let (Tγgj)j∈J,γ∈CjZd be a generalized shift-invariant system and let
p,q∈[1,∞].
For a weight v=(vj)j∈J and a sequence
c=(ck(j))j∈J,k∈Zd∈CJ×Zd, define
[TABLE]
Finally, define the associated coefficient spaceYvp,q as
[TABLE]
Let D(Q,Lp,ℓwq) be a decomposition space.
Given a GSI system (Tγgj)j∈J,γ∈CjZd and an associated coefficient space Yvp,q,
the reconstruction or synthesis operator is formally defined as the mapping
[TABLE]
while the coefficient or analysis operator is formally defined by
[TABLE]
where ⟨⋅,⋅⟩Φ denotes the extended pairing
defined in Section 3.3.
4.3. Boundedness of analysis and synthesis operators
For proving the boundedness of the operators D and C,
we will invoke the following lemma.
Lemma 4.6**.**
Let g∈W(C0,ℓ1)(Rd) and M∈GL(Rd).
Then the map
[TABLE]
is bounded from ℓ∞(Zd) into L∞(Rd),
with the series converging pointwise absolutely.
Furthermore, for any p∈[1,∞], the mapping
DM,g:ℓp(Zd)→Lp(Rd)
is well-defined and bounded, with
∥DM,g∥ℓp→Lp≤∣detM∣1/p⋅∥g∘M∥W(L∞,ℓ1).
Proof.
For the case M=idRd, this follows from [2, Lemma 2.9]—see also [14].
For the general case, simply note that
D_{M,g}\,c(x)=\big{(}D_{\mathrm{id}_{\mathbb{R}^{d}},g\circ M}(c)\big{)}(M^{-1}x).
∎
The following technical lemma allows us to use density arguments
for the full range p,q∈[1,∞].
Lemma 4.7**.**
Let p,q∈[1,∞]. Suppose the system (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted with
matrix M as in (4.2).
Then, for any F∈ℓwq(I;Lp), there is a sequence
θ=(θj,k)j∈J,k∈Zd∈Yvp,q such that
[TABLE]
and
∣⟨f∣TCjkgj⟩Φ∣≤θj,k
for all j∈J,k∈Zd
and every (F,Φ)-dominated f∈Z′(O).
Moreover, if (fn)n∈N is a sequence of (F,Φ)-dominated
Fourier distributions fn∈Z′(O) satisfying fn→f0∈Z′(O)
with convergence in Z′(O), then
⟨fn∣TCjkgj⟩Φ→⟨f0∣TCjkgj⟩Φ
for all j∈J,k∈Zd.
Proof.
Let f∈Z′(O) be (F,Φ)-dominated.
Using φi∗φi=φi
and the estimate (3.3), we see that
[TABLE]
and thus
[TABLE]
with ζi,j,k,ℓ and θj,k being independent of f.
Next, define a measure μi,j,k on Rd by
d\mu_{i,j,k}(x):=\big{(}T_{C_{j}k}\,|\widecheckBlub{\varphi_{i}}\ast g_{j}|\big{)}(x)\,dx.
Then
[TABLE]
There are now two cases.
If p=∞, then the estimate (4.7) and
∥⋅∥L∞(μi,j,k)≤∥⋅∥L∞
yield that
[TABLE]
If p<∞, then (4.7)
and Lemma 4.6 together show that
[TABLE]
Hence,
∥(ζi,j,k,ℓ)k∈Zd∥ℓp≤∣detCj∣1/p′⋅∥(\widecheckBlubφi∗gj)∘Cj∥W(L∞,ℓ1)⋅∥Fℓ∥Lp
for any p∈[1,∞].
Define c∈ℓwq(I) by cℓ:=∥Fℓ∥Lp.
Then, for all j∈J,
[TABLE]
where Mi,j is defined as in Equation (4.2).
Next, since (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted, Schur’s test
shows that
\mathbf{M}:\ell^{q}(I)\to\ell^{q}(J),(d_{i})_{i\in I}\mapsto\big{(}\sum_{i\in I}M_{i,j}d_{i}\big{)}_{j\in J}
is well-defined and bounded, with norm
∥M∥ℓq→ℓq≤∥M∥Schur.
Consequently, we obtain
[TABLE]
But ∥c∥ℓwq=∥F∥ℓwq(I;Lp),
and thus the first part of the proof is complete.
For the proof of the second part, first note
[TABLE]
since φi⋅F[TCjkgj]∈Cc∞(O)
and since fn→f0 in Z′(O) which implies fn→f0
in D′(O).
Next, since the fn are (F,Φ)-dominated,
Equation (4.5) shows that
[TABLE]
while Equation (4.8)
shows that ∑i∈Iγi,j<∞.
Thus,
[TABLE]
by definition of ⟨⋅∣⋅⟩Φ and by
the dominated convergence theorem.
∎
We now prove the boundedness of the coefficient and reconstruction operators.
Proposition 4.8**.**
Let D(Q,Lp,ℓwq) be a decomposition space and
let Yvp,q be the sequence space associated to the GSI system (Tγgj)j∈J,γ∈CjZd
as per Definition 4.5.
Suppose that (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted (where Φ is a BAPU for Q)
with matrix M as in (4.2).
Then
(i)
For all p,q∈[1,∞], the reconstruction map
[TABLE]
is well-defined and bounded with
∥D∥Yvp,q→D(Q,Lp,ℓwq)≤∥M∥Schur.
Furthermore, the defining double series converges unconditionally in Z′(O).
2. (ii)
For all p,q∈[1,∞], the coefficient operator
[TABLE]
is well-defined and bounded with
∥C∥D(Q,Lp,ℓwq)→Yvp,q≤∥M∥Schur⋅∥ΓQ∥ℓwq→ℓwq.
3. (iii)
If Ψ is another BAPU for Q,
and if f∈D(Q,Lp,ℓwq),
then ⟨f∣TCjkgj⟩Ψ is
well-defined and satisfies
⟨f∣TCjkgj⟩Ψ=⟨f∣TCjkgj⟩Φ
for all j∈J and k∈Zd.
Proof.
To prove (i), let c=(ck(j))j∈J,k∈Zd∈Yvp,q be arbitrary, and
set c(j):=(ck(j))k∈Zd for j∈J.
Then c(j)∈ℓp(Zd).
Moreover, if d=(dj)j∈J is defined as
dj:=∣detCj∣p1−21⋅∥c(j)∥ℓp,
then d∈ℓvq(J) and ∥d∥ℓvq=∥c∥Yvp,q.
Finally, let ∣c(j)∣=(∣ck(j)∣)k∈Zd for j∈J.
We first prove the unconditional convergence of the double series defining Dc.
Since the Fourier transform F:Z′(O)→D′(O)
is a linear homeomorphism, it suffices to show that the double series
∑j∈J∑k∈Zdck(j)F[TCjkgj]
converges unconditionally in D′(O).
To prove this, let K⊂O be compact.
Since ∑i∈Iφi≡1 on O, the family
\big{(}\varphi_{i}^{-1}(\mathbb{C}\setminus\{0\})\big{)}_{i\in I} forms an open cover
of O⊃K.
By compactness of K, there is a finite set IK⊂I for which
K⊂⋃i∈IKφi−1(C∖{0})⊂⋃i∈IKQi.
Note that IK∗:=⋃ℓ∈IKℓ∗⊂I is finite.
Furthermore, for j∈I∖IK∗, note that
Qj∩K⊂⋃i∈IKQj∩Qi=∅, whence
φj≡0 on K.
Thus, any g∈Cc∞(O)⊂S(Rd)
with suppg⊂K can be written as
g=∑i∈Iφig=∑i∈IK∗φig.
A direct calculation using Lemma 4.6 therefore shows
[TABLE]
Since g↦∥g∥Lp′ is a continuous norm on Cc∞(O)
and since g∈Cc∞(O) with suppg⊂K was arbitrary,
the desired unconditional convergence follows.
Next, we show that D:Yvp,q→D(Q,Lp,ℓwq) is well-defined and bounded.
For i∈I and j∈J, define
Bi,j:=∣detCj∣21⋅∥(\widecheckBlubφi∗gj)∘Cj∥W(L∞,ℓ1).
The assumption that (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted yields by Schur’s test that the map
\mathbf{B}:\ell^{q}_{v}(J)\to\ell^{q}_{w}(I),\;(d_{j})_{j\in J}\mapsto\big{(}\sum_{j\in J}B_{i,j}\cdot d_{j}\big{)}_{i\in I}\,
is bounded with ∥B∥op≤∥M∥Schur.
The series defining Dc being unconditionally convergent yields
To prove (ii), let f∈D(Q,Lp,ℓwq) be arbitrary.
Define Fi:=∣F−1(φif)∣ for i∈I.
Then F=(Fi)i∈I∈ℓwq(I;Lp)
and ∥F∥ℓwq(I;Lp)=∥f∥D(Q,Lp,ℓwq).
Clearly, f is (F,Φ)-dominated.
Therefore, Lemma 4.7 yields
θ=(θj,k)j∈J,k∈Zd∈Yvp,q satisfying the estimate
∣⟨f∣TCjkgj⟩Φ∣≤θj,k
for all j∈J and k∈Zd, and furthermore
∥θ∥Yvp,q≤∥M∥Schur⋅∥ΓQ∥ℓwq→ℓwq⋅∥F∥ℓwq(I;Lp).
Hence, C:D(Q,Lp,ℓwq)→Yvp,q
is well-defined and bounded, with the claimed estimate for the operator norm.
Assertion (iii) is a direct consequence of Lemma 4.4.
∎
Proposition 4.8 shows in particular that the reconstruction
operator D:Yvp,q→D(Q,Lp,ℓwq) is continuous.
However, in case max{p,q}=∞, the convergence in Yvp,q is a quite
restrictive condition.
To accommodate for this, we will often employ the following lemma.
Lemma 4.9**.**
Under the assumptions of Proposition 4.8,
the following holds:
For each n∈N, let
c(n)=(cj,k(n))j∈J,k∈Zd∈Yvp,q
be such that cj,k(n)n→∞cj,k∈C for all j∈J
and k∈Zd. Suppose there exists a sequence
θ=(θj,k)j∈J,k∈Zd∈Yvp,q satisfying
∣cj,k(n)∣≤θj,k for all j∈J, k∈Zd, and n∈N.
Then the reconstruction operator D satisfies
Dc(n)Z′(O)n→∞Dc.
Proof.
Let f∈Z(O).
Then K:=suppF−1f⊂O is compact.
Since (φi−1(C∖{0}))i∈I is an open cover of K,
there is a finite set I0⊂I satisfying
K⊂⋃i∈I0φi−1(C∖{0})⊂⋃i∈I0Qi.
This easily implies Qi∩K=∅ for i∈I∖If,
where If:=I0∗:=⋃ℓ∈I0ℓ∗⊂I is finite.
Thus, φi⋅F−1f≡0 for i∈I∖If,
and hence F−1f=∑i∈IfφiF−1f.
Therefore,
[TABLE]
For ν=(νj,k)j∈J,k∈Zd∈Yvp,q,
it follows therefore by the convergence in Z′(O) of the series defining Dν that
where we defined γj:=∥(θj,k)k∈Zd∥ℓp in the last step.
For brevity, let uj:=vj⋅∣detCj∣p1−21.
Note that since θ∈Yvp,q, we have
γ=(γj)j∈J∈ℓuq↪ℓu∞,
which yields a constant C1>0 such that ujγj≤C1 for all j∈J.
Using this, we see
[TABLE]
Finally, since ∣cj,k(n)∣≤θj,k for all j∈J, k∈Zd,
and n∈N, and since cj,k(n)n→∞cj,k,
applying the dominated convergence theorem in
Equation (4.10) shows that
[TABLE]
as desired.
∎
Corollary 4.10**.**
Under the assumptions of Proposition 4.8,
the following holds:
The frame operator
S:=D∘C:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
is well-defined and bounded.
Furthermore, if (fn)n∈N⊂D(Q,Lp,ℓwq) is a sequence
satisfying fn→f∈Z′(O), with convergence in Z′(O), and
for which there exists F∈ℓwq(I;Lp) such that all fn are (F,Φ)-dominated,
then f∈D(Q,Lp,ℓwq) and Sfn→Sf with convergence in Z′(O).
Proof.
S is well-defined, bounded by Proposition 4.8.
Since
∥fn∥D(Q,Lp,ℓwq)≤∥F∥ℓwq(I;Lp)
for all n∈N, Lemma 3.15 yields
f∈D(Q,Lp,ℓwq), where c:=Cf∈Yvp,q.
Next, Lemma 4.7 shows that
there is a sequence θ=(θj,k)j∈J,k∈Zd∈Yvp,q
such that if we set c(n):=Cfn, then ∣cj,k(n)∣≤θj,k
for all (n,j,k)∈N×J×Zd.
The same lemma also shows that cj,k(n)→cj,k for all j∈J and k∈Zd.
Therefore, Lemma 4.9 shows that
Sfn=Dc(n)→Dc=Sf with convergence in Z′(O).
∎
5. Invertibility of the frame operator
5.1. Representation of the frame operator
The frame properties of generalized shift-invariant systems are usually
studied under a compatibility condition that controls the interaction
between the generating functions and the translation lattices of the system.
Specifically, we will use the so-called local integrability conditions
[39, 41, 59].
Definition 5.1**.**
For an open set O⊂Rd of full measure, let
[TABLE]
A generalized shift-invariant system (Tγgj)j∈J,γ∈CjZd is said to satisfy the
α-local integrability condition (α-LIC), relative to Oc,
if, for all f∈BO(Rd),
[TABLE]
Given (Tγgj)j∈J,γ∈CjZd, we set
Λ:=⋃j∈JCj−tZd
and κ(α):={j∈J:α∈Cj−tZd}
for α∈Λ.
For α∈Λ, we define the functions
[TABLE]
Note that tα∈L∞(Rd) for all α∈Λ
by (4.1).
Furthermore, tα(ξ−α)=t−α(ξ).
Under the α-local integrability condition, the following (weak-sense) representation
of the frame operator can be obtained;
this follows by polarization from the proofs of
[39, Proposition 2.4] and [41, Theorem 3.4].
Proposition 5.2**.**
Suppose (Tγgj)j∈J,γ∈CjZd satisfies the α-local integrability condition
(5.1), relative to Oc.
Then, for all f1,f2∈BO(Rd),
[TABLE]
where the series converges absolutely; in fact,
[TABLE]
Proposition 5.2 yields an analogous representation of
the frame operator on D(Q,Lp,ℓwq), at least on the subspace SO(Rd).
Corollary 5.3**.**
Under the assumptions of Proposition 5.2, the series
∑α∈Λ0F−1[Tα(tαf)]
converges unconditionally in Z′(O) for any subset Λ0⊂Λ,
and any f∈SO(Rd).
Furthermore, if Q is a decomposition cover of O, with subordinate BAPU Φ,
if w is Q-moderate, and if v=(vj)j∈J is a weight such that
(Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted, then the frame operator
S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) fulfills for each f∈SO(Rd)
the identity
[TABLE]
Proof.
Since tα∈L∞(Rd) and f∈S(Rd), we have
Tα(tαf)∈L1(Rd)↪S′(Rd)↪D′(O),
and hence F−1[Tα(tαf)]∈Z′(O).
The Fourier transform F:Z′(O)→D′(O) is a linear homeomorphism;
hence, it suffices to prove that the series
∑α∈Λ0Tα(tαf)
converges unconditionally in D′(O).
To see this, let K⊂O be compact.
Define f1:=f∈SO(Rd)⊂BO(Rd),
and set f2:=F−1\mathds1K∈BO(Rd).
By Equation (5.4),
the constant
CK:=∑α∈Λ∫Rd∣f(ξ)∣\mathds1K(ξ+α)∣tα(ξ)∣dξ
is finite.
Now, let ψ∈Cc∞(O) be arbitrary with suppψ⊂K.
Then
[TABLE]
Since ∥⋅∥L∞ is continuous with respect to the topology on Cc∞(O),
and since ψ∈Cc∞(O)∑j with suppψ⊂K was arbitrary,
the estimate (5.6) simultaneously
yields that
∑α∈Λ0Tα(tαf)∈D′(O),
cf. [54, Theorem 6.6],
as well as the unconditional convergence of the series in D′(O).
For the remaining part, note if
f∈SO(Rd), then
⟨f∣TCjkgj⟩Φ=⟨f∣TCjkgj⟩L2
by Remark 3.17.
This proves everything but the last equality in Equation (5.5).
To prove this, let g∈Z(O).
Then g=F−1g∈Cc∞(O),
and hence g∈BO(Rd).
This, together with Equation (5.3), shows
According to Corollary 5.3,
on the set SO(Rd), the frame operator can be represented as
[TABLE]
with
[TABLE]
and
[TABLE]
for f∈SO(Rd).
In the following, we estimate the norms of T0−1 and R as operators
on the decomposition space D(Q,Lp,ℓwq).
This will be used, together with the following elementary result,
to provide conditions ensuring that the frame operator is invertible.
Lemma 5.4**.**
Let X be a Banach space, and let S:X→X be a linear operator that
can be written as S=T0+R, where T0,R are bounded
linear operators on X. Finally, assume that T0 is boundedly invertible and that
[TABLE]
Then S:X→X is also boundedly invertible.
Proof.
We have S=T_{0}+R=T_{0}\big{(}\mathrm{id}_{X}-(-T_{0}^{-1}R)\big{)}.
But ∥−T0−1R∥X→X≤∥T0−1∥X→X⋅∥R∥X→X<1,
so that idX−(−T0−1R) is boundedly invertible by a Neumann series argument.
This implies that S is boundedly invertible as a composition of boundedly invertible operators.
∎
5.3. Estimates for Fourier multipliers
The operator T0 is a Fourier multiplier, and we aim to estimate its inverse.
As a first step, we prove a general result concerning the boundedness of Fourier multipliers
on Besov-type spaces; see Proposition 5.7 below.
More qualitative versions of that proposition
can be found in [56, Section 2.4.3],
[58, Section 2.3] and
[23, Theorem 2.11].
Corresponding results for Triebel-Lizorkin spaces hold under more stringent assumptions
on the decomposition cover; see
[56, Sections 2.4.2 and 2.5.4] and [55].
In contrast to [56, Section 2.4.3],
we consider Fourier symbols with limited regularity. This entails certain
technical difficulties because of our choice of the reservoir
Z′(O), where Z(O)=F(Cc∞(O)).
More precisely, if f∈D(Q,Lp,ℓwq)⊂Z′(O),
then f∈D′(O) is a distribution, and can be multiplied by a
function h∈C∞(O).
We need, however, to make sense of the product with more general functions h,
by fully exploiting the fact that f∈D(Q,Lp,ℓwq).
To this end, we introduce the following notion:
Definition 5.5**.**
Let p∈[1,∞].
For f∈FL1(Rd) and g∈FLp(Rd), we define
the generalized product of f and g as
[TABLE]
Remark 5.6*.*
The definition makes sense because of Young’s inequality:
(F−1f)∗(F−1g)∈Lp(Rd).
Furthermore, our definition indeed generalizes the usual product:
if f∈S(Rd) and g∈S′(Rd), then
f⋅g=F[(F−1f)∗(F−1g)]—see, for instance [54, Theorem 7.19].
We can now derive an estimate for Fourier multipliers on decomposition spaces.
The proof is deferred to Appendix C.
Proposition 5.7**.**
Let Q=(Qi)i∈I be a decomposition cover of an open
set ∅=O⊂Rd, and let (φi)i∈I be a BAPU
subordinate to Q.
A continuous function h∈C(O) is called tame if
[TABLE]
If h is tame and if f∈D(Q,Lp,ℓwq) for certain p,q∈[1,∞]
and a Q-moderate weight w, then the series
[TABLE]
converges unconditionally in Z′(O).
Furthermore, the operator Φh satisfies the following properties:
(i)
Φh:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)*
is bounded, with
∥Φh∥D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)≤NQ2CΦCh
for arbitrary p,q∈[1,∞] and any Q-moderate weight w.*
2. (ii)
If (fn)n∈N⊂Z′(O) is (F,Φ)-dominated for some
F∈ℓwq(I;Lp) and if fn→f with convergence in
Z′(O), then also Φhfn→Φhf
with convergence in Z′(O).
In addition, there is G∈ℓwq(I;Lp) such that Φhfn
is (G,Φ)-dominated for all n∈N and such that
∥G∥ℓwq(I;Lp)≤NQ2CΦCh⋅∥Fℓ∥ℓwq(I;Lp).
3. (iii)
If f∈D(Q,Lp,ℓwq) and f∈Cc(O),
then Φhf=F−1(h⋅f).
4. (iv)
If g,h∈C(O) are tame, then so is g⋅h,
and we have ΦhΦg=Φgh.
Remark*.*
One can show that if Ch is finite for one BAPU (φi)i∈I,
then the same holds for any other BAPU.
Still, the precise value of the constant Ch depends on the choice of the BAPU.
5.4. Estimates for the remainder term R
The following proposition provides a general condition under which
R defines a bounded operator on D(Q,Lp,ℓwq).
Simplified versions of these are derived in Section 6.
Proposition 5.8**.**
Let Q=(Qi)i∈I be a decomposition cover
of an open set O⊂Rd of full measure,
with associated BAPU Φ=(φi)i∈I.
Let w=(wi)i∈I be Q-moderate.
Suppose the system (Tγgj)j∈J,γ∈CjZd satisfies the
α-local integrability condition (5.1), with respect to Oc.
Moreover, suppose that, for all i,ℓ∈I,
[TABLE]
and that the matrix N=(Ni,ℓ)i,ℓ∈I∈CI×I
is of Schur-type.
Then, for all p,q∈[1,∞], the “remainder operator R” defined in
(5.9) satisfies
[TABLE]
Proof.
The assumptions yield, by Schur’s test, that the operator
[TABLE]
is bounded, with ∥N∥ℓwq(I)→ℓwq(I)≤∥N∥Schur.
Let f∈SO(Rd) be arbitrary.
For any ℓ∈I, define cℓ:=∥φℓ∗⋅f∥FLp
and θℓ:=∥φℓ⋅f∥FLp,
where φℓ∗:=∑i∈ℓ∗φi.
Let c=(ci)i∈I and θ=(θi)i∈I.
Then 0≤cℓ≤∑i∈ℓ∗θi=(ΓQθ)ℓ,
and hence
∥c∥ℓwq≤∥ΓQ∥ℓwq→ℓwq⋅∥θ∥ℓwq=∥ΓQ∥ℓwq→ℓwq⋅∥f∥D(Q,Lp,ℓwq)<∞.
Since f∈SO(Rd), we have f∈Cc∞(O), and hence
f=∑ℓ∈Iφℓ⋅f=∑ℓ∈Iφℓφℓ∗f,
where only finitely many terms of the series do not vanish.
Therefore, by the unconditional convergence of the series defining Rf
(see Corollary 5.3), we see
[TABLE]
Hence, for all i∈I,
[TABLE]
and thus
[TABLE]
as claimed.
∎
Corollary 5.9**.**
Assume that the hypotheses of Proposition 5.8 are satisfied.
Furthermore, assume that the function t0 defined in (5.2)
is continuous on O and tame (see Proposition 5.7),
so that the operator Φt0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
is well-defined and bounded.
Finally, assume that (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted for some weight v=(vj)j∈J.
Define T0:=Φt0.
Then the frame operator
S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
is well-defined and bounded and satisfies
S=T0+R0 with a bounded linear operator
R0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) satisfying
[TABLE]
where N∈CI×I is as in (5.12),
and Cp,q:=1 if max{p,q}<∞
and Cp,q:=CΦ∥ΓQ∥ℓwq→ℓwq2 otherwise.
Proof.
Corollary 4.10 shows that the frame operator
S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is well-defined and bounded,
and hence so is R0:=S−T0.
Note for f∈SO(Rd) that T0f=F−1(t0⋅f)
by Proposition 5.7(iii).
Therefore, Corollary 5.3 shows
for f∈SO(Rd) that R0f=Rf
with Rf as in Equation (5.9).
Thus, if max{p,q}<∞, the density of SO(Rd)
in D(Q,Lp,ℓwq) (Proposition 3.13),
combined with Proposition 5.8, shows the claim.
Now, suppose that max{p,q}=∞, and let f∈D(Q,Lp,ℓwq) be arbitrary.
Then, Proposition 3.13 yields a sequence
(gn)n∈N⊂SO(Rd) and some F∈ℓwq(I;Lp)
such that gn→f with convergence in Z′(O),
and such that each gn is (F,Φ)-dominated, where
∥F∥ℓwq(I;Lp)≤Cp,q⋅∥f∥D(Q,Lp,ℓwq)
with Cp,q as in the statement of the current corollary.
By Proposition 5.7(ii), we get
T0gn→T0f with convergence in Z′(O).
In addition, Corollary 4.10 shows that Sgn→Sf
in Z′(O).
Therefore, Rgn=R0gn=(S−T0)gn→(S−T0)f=R0f,
while Proposition 5.8 shows
In many cases, instead of verifying that the matrix N defined in
Equation (5.12) is of Schur-type, it is easier to consider the
matrix N defined next.
Corollary 5.10**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set O⊂Rd
of full measure with BAPU Φ=(φi)i∈I, and let w=(wi)i∈I
be Q-moderate.
Let (Tγgj)j∈J,γ∈CjZd be a generalized shift-invariant system.
Suppose that the matrix N=(Ni,ℓ)i,ℓ∈I given by
[TABLE]
is of Schur-type.
Then (Tγgj)j∈J,γ∈CjZd satisfies the α-local integrability condition relative to Oc,
and ∥N∥Schur≤∥N∥Schur,
where N is as defined in Equation (5.12).
Proof.
By assumption, ∥N∥Schur<∞.
We first show that
[TABLE]
To show this, first note that since O⊂Rd is of full measure, so is
[TABLE]
since O0c=⋃j∈J⋃α∈Cj−tZd(Oc−α)
is a countable union of null-sets.
If ξ∈O0 and j∈J, α∈Cj−tZd are arbitrary,
then ξ+α∈O and hence ∑i∈Iφi(ξ+α)=1,
whence 1≤∑i∈I∣φi(ξ+α)∣.
Now, let ξ∈O0⊂O be arbitrary and choose
i0∈I such that ξ∈Qi0.
Then ∑ℓ∈i0∗φℓ(ξ)=1.
Thus, using the estimate ∥f∥sup≤∥F−1f∥L1, we see that
[TABLE]
In combination with our standing assumption (4.1),
this proves (5.14).
Now, the monotone convergence theorem and (5.14) show
for arbitrary f∈BO(Rd) that
[TABLE]
since f∈L∞(Rd) and suppf⊂O is compact.
This shows that (Tγgj)j∈J,γ∈CjZd satisfies the α-LIC.
Finally, recall that
tα(ξ)=∑j∈κ(α)∣detCj∣−1gj(ξ)gj(ξ+α),
where κ(α)={j∈J:α∈Cj−tZd}.
Therefore, the matrix entries Ni,ℓ defined in
(5.12) satisfy
[TABLE]
Thus ∥N∥Schur≤∥N∥Schur, as claimed.
∎
5.5. Invertibility in the case (p,q)=(2,2)
In this subsection, we focus on the special case (p,q)=(2,2),
where the following identification holds; see [60, Lemma 6.10].
Lemma 5.11**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set
∅=O⊂Rd,
and let w=(wi)i∈I be a Q-moderate weight.
Then there is a measurable weight v:O→(0,∞) with
v(ξ)≍wi for all ξ∈Qi and i∈I.
Furthermore,
D(Q,L2,ℓw2)=F−1(Lv2(O))
with equivalent norms, where the norm
∥f∥F−1(Lv2(O)):=∥f∥Lv2(O)
is used on
\mathcal{F}^{-1}(L_{v}^{2}(\mathcal{O}))=\big{\{}f\in Z^{\prime}(\mathcal{O})\,:\,\widehat{f}\in L_{v}^{2}(\mathcal{O})\big{\}}.
We will also make use of the following two lemmata.
Lemma 5.12**.**
Let ∅=O⊂Rd be an open set,
let v:O→(0,∞) be a weight function,
and let t0 be as in Equation (5.2).
Then the Fourier multipliers
T0:F−1(Lv2(O))→F−1(Lv2(O)),f↦F−1(t0f)
and
[TABLE]
are well-defined and bounded, with ∥T0−1∥op≤A−1
and ∥T0∥op≤B, where A,B>0 are as in (4.1).
Proof.
If f∈F−1(Lv2(O)), then
[TABLE]
The argument for T0 is similar.
∎
Lemma 5.13**.**
Let O⊂Rd be an open set of full measure and let
v:Rd→(0,∞) be v0-moderate for some symmetric weight
v0:Rd→(0,∞); that is,
v(ξ+η)≤Cv⋅v(ξ)⋅v0(η)
for all ξ,η∈Rd and some Cv>0.
Then the operator R defined in Equation (5.9) satisfies
[TABLE]
Proof.
Since O is of full measure, we have
F−1(Lv2(O))=F−1(Lv2(Rd)),
up to canonical identifications.
Let g∈L2(Rd) and f∈F−1(Lv2(O)) be such that
∥g∥L2≤1 and ∥f∥F−1(Lv2(O))≤1.
Using the estimates v(ξ)≤Cv⋅v(ξ−α)⋅v0(α)
and |ab|\leq\frac{1}{2}\big{(}|a|^{2}+|b|^{2}\big{)}
and the identity tα(ξ−α)=t−α(ξ),
it follows that
[TABLE]
Since this holds for all g∈L2(Rd) with ∥g∥L2≤1, the series
[TABLE]
is almost everywhere absolutely convergent, and
[TABLE]
for all f∈F−1(Lv2(O)) with
∥f∥F−1(Lv2(O))≤1.
This proves the claim.
∎
Using the previous lemmata, the following result follows easily.
See [45, Theorem 3.3] for a similar result in L2.
Proposition 5.14**.**
Let Q=(Qi)i∈I be a decomposition cover of an open set
O⊂Rd of full measure, and let w=(wi)i∈I be Q-moderate.
Suppose (Tγgj)j∈J,γ∈CjZd satisfies the α-local integrability condition (5.1)
relative to Oc.
Finally, assume that
[TABLE]
where A>0 is as in (4.1),
where v:Rd→(0,∞) is a measurable weight that satisfies
v(ξ)≍wi for all ξ∈Qi and i∈I, and where
v0:Rd→(0,∞) is assumed to be a symmetric weight
satisfying v(ξ+η)≤Cv⋅v(ξ)⋅v0(η)
for all ξ,η∈Rd.
Then the frame operator S:SO(Rd)→L2(Rd) associated to (Tγgj)j∈J,γ∈CjZd
uniquely extends to a bounded linear operator
S0:D(Q,L2,ℓw2)→D(Q,L2,ℓw2).
This extended operator is boundedly invertible.
Proof.
Lemmas 5.12 and 5.13 show, respectively, that the operators
T0 and R defined in these lemmas yield bounded operators on F−1(Lv2(O)),
so that S0:=T0+R:F−1(Lv2(O))→F−1(Lv2(O))
is well-defined and bounded.
As seen in Proposition 5.2, we have
S0f=Sf for all f∈SO(Rd)⊂BO(Rd).
Furthermore, SO(Rd)⊂D(Q,L2,ℓw2)=F−1(Lv2(O))
is dense (see Proposition 3.13 and Lemma 5.11);
therefore, S0 is the unique bounded extension of S.
Finally, conditions (4.1) and (5.16) together with
Lemma 5.12 and Lemma 5.13 yield that
[TABLE]
Hence, S0=T0+R is boundedly invertible on F−1(Lv2(O))
by Lemma 5.4.
Using the norm equivalence
∥⋅∥F−1(Lv2(O))≍∥⋅∥D(Q,L2,ℓw2)
provided by Lemma 5.11, it follows therefore that also
S0:D(Q,L2,ℓw2)→D(Q,L2,ℓw2)
is boundedly invertible.
∎
Remark 5.15*.*
The formulation of Proposition 5.14 is rather technical, because,
under those assumptions, the formula defining the frame operator might not make sense
for f∈D(Q,L2,ℓw2).
Indeed, the hypothesis are satisfied for every tight frame,
even if gj∈/D(Q,L2,ℓw2).
If, in addition, (Tγgj)j∈J,γ∈CjZd is assumed to be (w,v,Φ)-adapted for some weight v,
then Proposition 4.8 applies and
we can conclude unambiguously that S:D(Q,L2,ℓw2)→D(Q,L2,ℓw2)
is well-defined, bounded and boundedly invertible on D(Q,L2,ℓw2).
Remark 5.16*.*
If (Tγgj)j∈J,γ∈CjZd is a tight frame for L2(Rd) with lower frame bound A>0,
which furthermore satisfies the α-local integrability condition, then
the multipliers tα∈L∞(Rd) satisfy
tα(ξ)=Aδα,0 for a.e. ξ∈Rd
and all α∈Λ, cf. [41, Theorem 3.4].
The condition (5.16) is then obviously satisfied.
The placement of the absolute value sign outside of the series defining
the multipliers tα allows for cancellations,
which can be very important [45].
6. Concrete estimates for affinely generated covers
In this section, we simplify the results of Section 5 for the case
that the decomposition cover Q is affinely generated.
The results obtained here will be further simplified
in Section 7.
In the sequel, we will repeatedly use Q-localized versions of
the generating functions gj of the system (Tγgj)j∈J,γ∈CjZd.
Precisely, given a family (gj)j∈J of generating functions
gj∈L1(Rd)∩L2(Rd) and a family (Si)i∈I
of invertible affine-linear maps Si=Ai(⋅)+bi, we let
[TABLE]
so that Fgi,j♮=gj∘Si.
6.1. Boundedness of the frame operator
As a first step, we provide a sufficient condition for a system to be adapted
(see Definition 4.3).
The proof makes use of the following self-improving property of amalgam spaces,
which is taken from [62, Theorem 2.17].
Lemma 6.1**.**
Let f∈S′(Rd) with
suppf⊂A[−R,R]d+ξ0
for some A∈GL(d,R), ξ0∈Rd, and R>0.
Then there exists a constant C=C(d)>0 which only depends on d∈N such that
[TABLE]
Proposition 6.2**.**
Let \mathcal{Q}=\big{(}A_{i}(Q_{i}^{\prime})+b_{i}\big{)}_{i\in I} be an affinely generated cover of
O⊂Rd, and let Φ=(φi)i∈I be a regular partition of unity
subordinate to Q.
Let w=(wi)i∈I be Q-moderate, and let v=(vj)j∈J be a weight.
Suppose that the system (Tγgj)j∈J,γ∈CjZd satisfies, for (i,j)∈I×J,
[TABLE]
and that G=(Gi,j)i∈I,j∈J∈CI×J
is of Schur-type.
Then (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted.
Consequently, the frame operator S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
is well-defined and bounded.
Proof.
We will estimate ∥(\widecheckBlubφi∗gj)∘Cj∥W(C0,ℓ1)
for (i,j)∈I×J.
Choose r>1 such that Qi′⊂[−r,r]d for all i∈I.
The norm equivalence
∥⋅∥W(C0,ℓ1)≍∥⋅∥W[−1,1]d(C0,L1)
yields an absolute constant K1=K1(d)>0 satisfying
[TABLE]
for i∈I and j∈J.
Here, we used Equation (2.1) in the last step.
Define Pi,j:=r⋅∥CjtAi∥ℓ∞→ℓ∞.
Since suppφi⊂Ai(Qi′)+bi, it follows that
[TABLE]
Therefore, Lemma 6.1 yields
a constant K2=K2(d)>0 such that
[TABLE]
Next, recalling the notion of the normalized version
φi♭=φi∘Si of φi
(Definition 3.6), we see
Now, since φi♭ vanishes outside of Qi′,
it follows that
∣(∂αφi♭)(ξ)∣≤K3⋅\mathds1Qi′(ξ)
for all ξ∈Rd and any α∈N0d with ∣α∣≤d+1, where
K3:=max∣α∣≤d+1supi∈I∥∂αφi♭∥L∞.
An application of the Leibniz rule therefore yields
[TABLE]
for any θ∈N0d with ∣θ∣≤d+1.
Integrating this last inequality and combining it with (6.2)
yields
[TABLE]
for a constant K=K(Q,d,Φ)>0.
Therefore, the matrix entries Mi,j defined in Equation (4.2)
satisfy
[TABLE]
This implies ∥M∥Schur≤K⋅∥G∥Schur<∞,
so that (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted.
∎
6.2. The main term
In this section, we provide a simplified bound for the operator norm of
T0−1:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq).
Proposition 6.3**.**
Let Q=(Si(Qi′))i∈I be an affinely generated cover of an open set
O⊂Rd of full measure.
Let Φ=(φi)i∈I be a regular partition of unity subordinate to Q.
Suppose the system (Tγgj)j∈J,γ∈CjZd satisfies
[TABLE]
Then the function t0 defined in Equation (5.2)
is continuous on O and tame, and Equation (4.1)
holds for allξ∈O.
Furthermore, for all p,q∈[1,∞] and
any Q-moderate weight w=(wi)i∈I, the operator
[TABLE]
with Φt0 as in Proposition 5.7
is well-defined, bounded, and boundedly invertible, with
Step 1.
We show that the series defining t0 converges locally uniformly on O,
that Equation (4.1) holds pointwise on O, and that t0 is tame.
To see this, set γj:=∣gj∣2/∣detCj∣,
and note t0=∑j∈Jγj and that γj∈C∞(Rd)
thanks to our standing assumptions regarding the gj.
Now, for arbitrary i∈I, recall that φi♭=φi∘Si
vanishes outside Qi′, so that the Leibniz rule shows
[TABLE]
for c0:=2d+1max∣ν∣≤d+1CQ,Φ,ν and
arbitrary α∈N0d with ∣α∣≤d+1.
Therefore, using the notation
I:={0}∪{(d+1)eℓ:ℓ∈d}
(where (e1,…,ed) denotes the standard basis of Rd),
Lemma A.2 shows because of
∥φi⋅γj∥FL1=∥φi♭⋅(γj∘Si)∥FL1
and πdd+1≤1 that
[TABLE]
where c1=c1(Q,d)>0 is a constant satisfying
∥⋅∥L1(Qi′)≤c1⋅∥⋅∥Ld+1(Qi′) for all i∈I,
which exists since the (Qi′)i∈I are uniformly bounded.
Estimate (6.6) implies that
[TABLE]
where M is as in (6.3).
This guarantees the locally uniform convergence on O of the series
t0=∑j∈Jγj.
Indeed, if ξ∈O is arbitrary, then ξ∈Qi for some i∈I where Qi is open;
furthermore, ∑ℓ∈i∗φℓ≡1 on Qi and hence
∑j∈J∥γj∥L∞(Qi)≤∑j∈J∑ℓ∈i∗∥φℓ⋅γj∥sup<∞,
which shows that the series t0=∑j∈Jγj converges uniformly on Qi.
By locally uniform convergence, we see that t0 is continuous on O.
Equation (4.1) shows that A≤t0≤B almost everywhere
on O; since O is open and t0 continuous,
this estimate necessarily holds pointwise on O.
Finally, since suppφi⊂O is compact, we see
φit0=∑j∈Jφiγj with uniform convergence of the series,
and hence with convergence in L1(Rd), since all summands have support in the fixed
compact set Qi⊂O.
Thus, F−1(φit0)=∑j∈JF−1(φiγj),
which leads to the estimate
supi∈I∥F−1(φit0)∥L1≤supi∈I∑j∈J∥φi⋅γj∥FL1≤c0c1⋅M<∞.
Thus, t0 is tame, so that Proposition 5.7 shows that
T0=Φt0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is well-defined and bounded.
Step 2.
In this step, we prepare for applying Lemma A.4;
we cannot apply it directly, since t0 might not be Cd+1.
Thus, we will construct a sequence (gN)N∈N of smooth functions approximating t0.
We will then apply Lemma A.4 to the gN in Step 3.
For the construction of the (gN)N∈N, first note that J is infinite;
indeed, we have gj∈C0(Rd) for all j∈J since gj∈L1(Rd);
thus, (4.1) can only hold if J is infinite.
Since J is countable, we thus have J={jn:n∈N}
for certain pairwise distinct jn∈J.
With this, define gN:=∑n=1Nγjn∈C∞(Rd).
As seen in Step 1, gN→t0 locally uniformly on O.
Since 0<A≤t0≤B on O, this easily implies GN→t01
locally uniformly on O, where we defined
[TABLE]
Thus, φi⋅GN→φi⋅t0−1 in L1(Rd),
and hence F−1(φiGN)→F−1(φi⋅t0−1)
uniformly as N→∞.
Therefore, Fatou’s lemma shows that
[TABLE]
Step 3. We next estimate
liminfN→∞∥φi♭⋅(GN∘Si)∥FL1.
Define
[TABLE]
Let Vi⊂O be open and bounded with
Qi⊂Vi⊂Vi⊂O and let ε∈(0,1).
Since gN→t0 uniformly on Vi and t0≥A>0 on O⊃Vi,
there is N0=N0(i,ε)∈N such that gN≥(1−ε)A=:Aε on Vi
for all N≥N0.
Note that
Ki(N)(ξ)≥∑n=1Nγjn(Siξ)=gN(Siξ)≥Aε
for ξ∈Si−1(Vi) and N≥N0.
Define Ui:=Si−1(Vi), fix ξ(0)∈Ui and ℓ∈d, set
[TABLE]
and, for N≥N0, let
fN:U→[Aε,∞),ξ↦(gN∘Si)(ξ1(0),…,ξℓ−1(0),ξ,ξℓ+1(0),…,ξd(0)),
noting that \big{|}f_{N}^{(m)}(\xi_{\ell}^{(0)})\big{|}\leq K_{i}^{(N)}(\xi^{(0)})
for all m∈d+1.
Hence, Lemma A.4 shows for all m∈d+1 that
Since ξ(0)∈Ui was arbitrary, we have thus shown, for all ξ∈Ui and N≥N0,
[TABLE]
Finally, since φi♭=φi∘Si vanishes outside of
Qi′=Si−1(Qi)⊂Si−1(Vi)=Ui, the Leibniz rule shows
[TABLE]
for all ξ∈Rd, ℓ∈d, 0≤m≤d+1, and N≥N0.
Thus, Lemma A.2 shows
[TABLE]
Since this holds for all N≥N0=N0(i,ε), and since Aε=(1−ε)A
where ε∈(0,1) is arbitrary, we thus see by virtue of
Equation (6.7) that
[TABLE]
for all i∈I.
Hence, t0−1 is tame, and Proposition 5.7 shows that
Φt0−1:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is well-defined and
bounded, with operator norm bounded
by the right-hand side of Equation (6.4).
Step 4.
Proposition 5.7(iv) shows
Φt0−1Φt0=Φ1=Φt0Φt0−1,
where 1:O→R,ξ↦1.
Directly from the definition of Φ1 in
Proposition 5.7, we see Φ1f=f for all
f∈D(Q,Lp,ℓwq).
Hence, T0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is boundedly invertible
with T0−1=Φt0−1.
∎
6.3. The remainder term
The next (technical) result provides an estimate of the operator norm
of the remainder term R0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
considered in Corollary 5.9.
Here, we make use of a normalized version gj⋄
of the generators (gj)j∈J of (Tγgj)j∈J,γ∈CjZd, namely
[TABLE]
for invertible affine-linear maps Uj=Bj(⋅)+cj; note that
gj⋄=∣detBj∣1/2⋅gj∘Uj.
Lemma 6.4**.**
Let Q=(Si(Qi′))i∈I=(Ai(Qi′)+bi)i∈I be
an affinely generated cover of an open set O⊂Rd of full measure.
Let Φ=(φi)i∈I be a regular partition of unity subordinate to Q,
and let w=(wi)i∈I be a Q-moderate weight.
Let (Tγgj)j∈J,γ∈CjZd be a generalized shift-invariant system.
Furthermore, assume that (Tγgj)j∈J,γ∈CjZd is (w,v,Φ)-adapted for some weight
v=(vj)j∈J, and assume that the function t0 introduced in
Equation (5.2) is tame.
Suppose that there is a family (Uj)j∈J of invertible affine-linear maps
Uj=Bj(⋅)+cj∑j and a weight v=(vj)j∈J
such that the Fourier transform of
gj⋄=∣detBj∣−1/2⋅(M−cjgj)∘Bj−t
can be factorized as Fgj⋄=hj,1⋅hj,2
with hj,1,hj,2∈Cd+1(Rd) satisfying
[TABLE]
Moreover, suppose that Y=(ai,jXi,j)i∈I,j∈J∑j
and Z=(bi,jXi,j)i∈I,j∈J are of Schur-type, where
[TABLE]
and
[TABLE]
and
[TABLE]
Then, for all p,q∈[1,∞], the operator
R0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
of Corollary 5.9 is bounded, with
∥R0∥op≤C0Cp,q∥ΓQ∥ℓwq→ℓwq⋅(C′)2⋅∥Y∥Schur∥Z∥Schur,
where
[TABLE]
with RQ:=maxi∈Isupξ∈Qi′∣ξ∣
and Cp,q:=1 if max{p,q}<∞
and Cp,q:=CΦ⋅∥ΓQ∥ℓwq→ℓwq2 otherwise.
Proof.
For brevity, set ν(x):=max{1,x} for x∈[0,∞),
and note ν(xy)≤ν(x)ν(y).
This implies ν(wi/wℓ)≤ν(wi/vj)⋅ν(vj/wℓ),
an estimate that we will employ frequently.
According to Proposition 5.8
and Corollary 5.10, it suffices to estimate
[TABLE]
where
K_{i,\ell,j,k}:=|\det C_{j}|^{-1}\cdot\big{\|}\overline{\widehat{g_{j}}}\cdot\widehat{g_{j}}(\cdot-C_{j}^{-t}k)\cdot\varphi_{i}(\cdot-C_{j}^{-t}k)\cdot\varphi_{\ell}\big{\|}_{\mathcal{F}L^{1}}.
In order to do so, note that
gj=∣detBj∣−1/2⋅(Fgj⋄)∘Uj−1.
Hence, since Fgj⋄=hj,1⋅hj,2 by assumption,
the term Ki,ℓ,j,k can be estimated as follows:
[TABLE]
Using the preceding estimate, one can bound L1 from
Equation (6.10) as follows:
[TABLE]
A similar calculation gives
[TABLE]
The remainder of the proof is divided into four steps:
Step 1.Estimates for Ki,j,k(1) and Kℓ,j,k(2).
For j∈J and k∈Zd, set
Hj,k:=hj,1⋅TBj−1Cj−tkhj,2.
Since
Tξ(g∘Uj−1)=(TBj−1ξg)∘Uj−1 for any ξ∈Rd
and g:Rd→C, it follows that
[TABLE]
Using the normalization
φi♭=φi∘Si of φi, a direct calculation shows
[TABLE]
Now, define
ζj:Rd→[0,∞),ξ↦max∣α∣≤d+1∣∂αhj,1(ξ)∣.
By applying Leibniz’ rule, combined with the assumption
max∣α∣≤d+1∣∂αhj,2(ξ)∣≤C′⋅(1+∣ξ∣)−(d+1)
and the identity ∑β≤α(βα)=2∣α∣, we see
[TABLE]
for all α∈N0d with ∣α∣≤d+1 and all ξ∈Rd.
This, together with Lemma A.3, yields that, for all
n∈d and m∈{0,…,d+1},
[TABLE]
Since Φ is a regular partition of unity, we have
∣∂αφi♭(ξ)∣≤CQ,Φ,α⋅\mathds1Qi′(ξ)∑j
for all ξ∈Rd and α∈N0d.
Thus, setting C1:=(4d)d+1C′⋅max∣α∣≤d+1CQ,Φ,α
and invoking Leibniz’s rule once more, we see that
[TABLE]
Clearly, the same overall estimate also holds for
∣[φi♭⋅(Hj,−k∘Uj−1∘Si)](ξ)∣
itself instead of its derivative
\big{|}\partial_{n}^{d+1}\big{(}\varphi_{i}^{\flat}\cdot(\overline{H_{j,-k}}\circ U_{j}^{-1}\circ S_{i})\big{)}(\xi)\big{|}.
Thus, setting
[TABLE]
we can apply Lemma A.2
and Equation (6.13) to conclude
[TABLE]
where I:={0}∪{(d+1)⋅en:n∈d}.
By similar arguments as for Ki,j,k(1), one obtains
[TABLE]
Step 2.Estimating the supremum over k∈Zd∖{0}.
Note that ∣ξ∣≤∥A−1∥⋅∣Aξ∣,
and thus ∣Aξ∣≥∥A−1∥−1⋅∣ξ∣ for any ξ∈Rd and
A∈GL(Rd).
Hence,
[TABLE]
This implies for arbitrary i∈I, ξ∈Qi′, k∈Zd∖{0},
and j∈J that
[TABLE]
Setting C_{3}:=3^{d+1}\cdot\max\big{\{}1,R_{\mathcal{Q}}^{d+1}\big{\}},
the preceding estimate implies
[TABLE]
for all i∈I, ξ∈Qi′, and j∈J.
Using this, and the estimates for Ki,j,k(n) that we derived in Step 1, we see that
[TABLE]
for n∈{1,2}, i∈I, and j∈J.
Step 3.Estimating the sum over k∈Zd∖{0}.
Estimate (6.15) implies
[TABLE]
By combining this estimate with Corollary D.2,
we see for any ξ∈Qi′ that
[TABLE]
Here, we used in the last step that ∣ξ∣≤RQ since ξ∈Qi′.
By combining this estimate with the estimate for Ki,j,k(n) from Step 1,
we see for n∈{1,2} and arbitrary i∈I and j∈J that
[TABLE]
where we defined C4:=(d+1)⋅23+4d⋅(2+RQ)⋅C2.
Step 4.Completing the proof.
Combining the two estimates (6.11)
and (6.12)
with the estimates obtained in Equations (6.17) and
(6.16), we conclude that
[TABLE]
The estimate L2≤C0⋅(C′)2⋅∥Y∥Schur∥Z∥Schur
is obtained similarly.
Hence, an application of Corollaries 5.9 and
5.10 gives
∥R0∥op≤C0Cp,q∥ΓQ∥ℓwq→ℓwq⋅(C′)2⋅∥Y∥Schur∥Z∥Schur,
as desired.
∎
7. Results for structured systems
In this section, we provide further simplified conditions for the boundedness and
invertibility of the frame operator.
For this, we will assume throughout this section that the family (gj)j∈J
of functions gj∈L1(Rd)∩L2(Rd) defining the system (Tγgj)j∈J,γ∈CjZd possess
the form
[TABLE]
for certain Aj∈GL(d,R) and bj∈Rd and a fixed
g∈L1(Rd)∩L2(Rd) satisfying g∈C∞(Rd).
Observe that (7.1) can be written as
gj=∣detAj∣−1/2⋅F−1(g∘Sj−1),
where Sj=Aj(⋅)+bj.
7.1. Simplified criteria for invertibility of the frame operator
In this subsection, we give simplified versions of the estimates for the operator norms of
T0−1
and R0,
under the assumption that the generators (gj)j∈J of the system (Tγgj)j∈J,γ∈CjZd
have the form (7.1) and that the lattices
CjZd are given by Cj=δAj−t
for a suitable δ>0.
We begin with a simplified version of Proposition 6.3.
Proposition 7.1**.**
Let \mathcal{Q}=\big{(}S_{j}(Q_{j}^{\prime})\big{)}_{j\in J}=\big{(}A_{j}(Q_{j}^{\prime})+b_{j})_{j\in J} be an
affinely generated cover of an open set O⊂Rd of full measure.
Let Φ=(φj)j∈J be a regular partition of unity subordinate to Q.
Let (Tγgj)j∈J,γ∈CjZd be such that Cj:=δ⋅Aj−t for some δ>0
and gj:=∣detAj∣1/2⋅Mbj[g∘Ajt]
for some g∈L1(Rd)∩L2(Rd) with g∈C∞(Rd).
Suppose that there is some A′>0 satisfying
A′≤∑j∈J∣g(Sj−1ξ)∣2 for almost all ξ∈O,
and that
[TABLE]
Then the function t0 defined in Equation (5.2) is continuous
on O and tame, and the estimate A′≤∑j∈J∣g(Sj−1ξ)∣2
holds for all ξ∈O.
Furthermore, for any p,q∈[1,∞] and any Q-moderate weight w=(wj)j∈J,
the operator
[TABLE]
with Φt0 as defined in Proposition 5.7
is well-defined, bounded, and boundedly invertible, with
[TABLE]
where Cd′=Cd⋅(2d)(d+1)2 with Cd as in
Equation (6.5).
Proof.
We apply Proposition 6.3.
For this, note that since Cj=δ⋅Aj−t and
gj=∣detAj∣−1/2⋅g∘Sj−1,
the Q-localized version gi,j♮ of gj
defined in (6.1) satisfies
Fgi,j♮=gj∘Si=∣detAj∣−1/2⋅g∘Sj−1∘Si
and, moreover,
∣detCj∣−1⋅∣Fgi,j♮∣2=δ−d⋅∣g∣2∘Sj−1∘Si.
Leibniz rule entails the pointwise estimate
[TABLE]
for any α∈N0d with ∣α∣≤d+1.
Since
Sj−1Si=Aj−1Ai(⋅)+Aj−1(bi−bj),
it follows by the chain rule as in Lemma A.3
that, for any ν∈N0d with ∣ν∣≤d+1,
[TABLE]
for ξ∈Rd.
Using this, we can estimate the constant M from
Proposition 6.3 as follows:
[TABLE]
with M0 as defined in the statement of the current proposition.
By assumption, we have A′≤∑j∈J∣g(Sj−1ξ)∣2, and thus
[TABLE]
for almost all ξ∈O and hence for almost all ξ∈Rd.
Therefore, Proposition 6.3 shows that t0 is continuous on O
and tame, that the preceding estimate holds pointwise on O, and that
the operator T0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is well-defined, bounded,
and boundedly invertible with
[TABLE]
This completes the proof.
∎
Our next aim is to present a simplified version of the technical Lemma 6.4.
For this, we will use the following result
whose proof we postpone to Appendix D.2.
Lemma 7.2**.**
Let g∈Cd+1(Rd) be such that
there exists a function ϱ:Rd→[0,∞) satisfying
∣∂αg(ξ)∣≤ϱ(ξ)⋅(1+∣ξ∣)−(d+1)
for all ξ∈Rd and α∈N0d with ∣α∣≤d+1.
Then, setting
[TABLE]
we have g=h1⋅h2 on Rd.
Furthermore, h1,h2∈Cd+1(Rd) satisfy the estimates
[TABLE]
for all ξ∈Rd, where C^{\prime}:=\big{(}12\cdot(d+1)^{2}\big{)}^{d+1}.
Proposition 7.3**.**
Let \mathcal{Q}=\big{(}S_{j}(Q_{j}^{\prime})\big{)}_{j\in J}=\big{(}A_{j}(Q_{j}^{\prime})+b_{j})_{j\in J} be an
affinely generated cover of an open set O⊂Rd of full measure.
Let Φ=(φj)j∈J be a regular partition of unity subordinate to Q,
and let w=(wj)j∈J be Q-moderate.
Let (Tγgj)j∈J,γ∈CjZd be such that Cj:=δ⋅Aj−t
for some δ∈(0,1] and gj:=∣detAj∣1/2⋅Mbj[g∘Ajt]
for some g∈L1(Rd)∩L2(Rd) satisfying g∈C∞(Rd).
Assume that the function t0 defined in Equation (5.2) is tame.
Assume that Y=(Yi,j)i,j∈J
is of Schur-type, where
[TABLE]
with
[TABLE]
Then the system (Tγgj)j∈J,γ∈CjZd is (w,w,Φ)-adapted.
Furthermore, for any p,q∈[1,∞],
the operator R0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
defined in Corollary 5.9 is well-defined and bounded, with
[TABLE]
with C0 as in (6.9),
C′ as in Lemma 7.2 and
Cp,q:=1 if max{p,q}<∞ and
Cp,q:=CΦ∥ΓQ∥ℓwq→ℓwq2, otherwise.
Proof.
To show that (Tγgj)j∈J,γ∈CjZd is (w,w,Φ)-adapted,
we use Proposition 6.2.
Let us set vj:=wj for j∈J.
Note that
Fgi,j♮=gj∘Si=∣detAj∣−1/2⋅g∘Sj−1∘Si.
An application of the chain rule as in Lemma A.3 shows,
for any α∈N0d with ∣α∣≤d+1, that
[TABLE]
and hence
∫Qi′max∣α∣≤d+1∣∂α[Fgi,j♮](ξ)∣dξ≤∣detAj∣−1/2⋅dd+1max{1,∥Aj−1Ai∥d+1}⋅Yi,jKi,j−1.
Thus, the matrix entries Gi,j introduced in Proposition 6.2
satisfy
[TABLE]
for a suitable constant Cd,δ>0 which is independent of i,j∈J.
Thus ∥G∥Schur<∞.
To finish the proof, we will show the claimed bound on
∥R0∥D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq).
For this, we will apply Lemma 6.4 with the choices
I=J, Bj=Aj, cj=bj and vj=wj.
In this setting, we have gj⋄=g for all j∈J.
By defining
ϱ:Rd→[0,∞),ξ↦(1+∣ξ∣)d+1max∣α∣≤d+1∣∂αg(ξ)∣,
we clearly have
∣∂αg(ξ)∣≤ϱ(ξ)⋅(1+∣ξ∣)−(d+1)
for all ξ∈Rd and α∈N0d with ∣α∣≤d+1.
Hence, by Lemma 7.2, we can factorize
g=h1⋅h2 with h1,h2∈Cd+1(Rd)
satisfying (7.2).
This shows that the first hypothesis in Lemma 6.4 is satisfied,
and it remains to show that the matrices Y=(Yi,j)i,j∈J
and Z=(Zi,j)i,j∈J of Lemma 6.4 are of Schur-type.
For this, note that ∣det(BjtCj)∣−1=∣det(AjtδAj−t)∣−1=δ−d
and ∥CjtAi∥=δ∥Aj−1Ai∥≤∥Aj−1Ai∥, since δ≤1.
Therefore,
[TABLE]
for all i,j∈I.
It is now readily verified that Yi,j≤C′⋅δ⋅Yi,j
and Zi,j≤C′⋅δ⋅Yi,j for i,j∈J,
where C′ is as in Lemma 7.2.
Hence,
∥Y∥Schur∥Z∥Schur≤(C′)2⋅δ2⋅∥Y∥Schur2.
Therefore, applying Lemma 6.4 completes the proof.
∎
The factor max{1,∣Ai−1(bi−bj)∣} that appears in defining Ki,j in
Proposition 7.3 can be inconvenient.
In particular, it does not appear in [62],
which makes it difficult to translate existing concrete examples from [62]
readily to the present setting.
For this reason, we supply the following.
Lemma 7.4**.**
The matrix entries Yi,j introduced in
Proposition 7.3
satisfy 0≤Yi,j≤(1+RQ)d+1⋅Yi,j, where
[TABLE]
and
L_{i,j}:=\max\big{\{}\frac{w_{i}}{w_{j}},\frac{w_{j}}{w_{i}}\big{\}}\big{(}\max\{1,\|A_{i}^{-1}A_{j}\|^{2}\}\,\max\{1,\|A_{j}^{-1}A_{i}\|^{3}\}\big{)}^{d+1}
for i,j∈J.
Proof.
Since
Sj−1(Siξ)=Aj−1(Aiξ+bi−bj)
for all ξ∈Rd, it follows that
[TABLE]
for ξ∈Qi′.
Using this, the estimate Yi,j≤(1+RQ)d+1⋅Yi,j
follows directly from the definitions.
∎
7.2. Invertibility of the frame operator
The next result summarizes our criteria for the invertibility of the frame operator
obtained in this section.
Theorem 7.5**.**
Let \mathcal{Q}=\big{(}S_{j}(Q_{j}^{\prime})\big{)}_{j\in J}=\big{(}A_{j}(Q_{j}^{\prime})+b_{j})_{j\in J} be an
affinely generated cover of an open set O⊂Rd of full measure.
Let Φ=(φj)j∈J be a regular partition of unity subordinate to Q,
and let w=(wj)j∈J be Q-moderate.
Suppose that
(i)
The system (Tγgj)j∈J,γ∈CjZd is such that
gj:=∣detAj∣1/2⋅Mbj[g∘Ajt]
and Cj:=δ⋅Aj−t for some δ>0
and some g∈L1(Rd)∩L∞(Rd)
with g∈C∞(Rd);
(ii)
There is an A′>0 such that A′≤∑j∈J∣g(Sj−1ξ)∣2
for almost all ξ∈O;
(iii)
The matrix Y=(Yi,j)i,j∈J is of Schur-type,
where Yi,j as in Lemma 7.4;
(iv)
The term M0 defined in Proposition 7.1
is finite.
Then the system (Tγgj)j∈J,γ∈CjZd is (w,w,Φ)-adapted, and for p,q∈[1,∞],
the frame operator
S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
associated to (Tγgj)j∈J,γ∈CjZd is well-defined and bounded.
Finally, for given p,q∈[1,∞], let
C_{d,\mathcal{Q},w}:=\max\big{\{}[\sup_{j\in J}\lambda(Q_{j}^{\prime})]^{-\frac{3}{d+2}},[\kappa_{d}K_{\mathcal{Q},w}]^{1/(d+2)}\big{\}},
where
[TABLE]
and
KQ,w:=∥ΓQ∥ℓwq→ℓwq3NQ2max{1,CΦ2}(1+RQ)3d+4max∣α∣≤d+1CQ,Φ,α3.
Then, if δ>0 is chosen such that
[TABLE]
then the frame operator is also boundedly invertible as an operator on
D(Q,Lp,ℓwq).
Proof.
We proceed in two steps.
Step 1. Suppose that δ≤1.
Since A′≤∑j∈J∣g(Sj−1ξ)∣2
for almost all ξ∈O, and since M0 is finite, an application of
Proposition 7.1 shows that
t0 is continuous on O and tame and that
T0:=Φt0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq),
with Φt0 as defined in Proposition 5.7,
is well-defined, bounded, and boundedly invertible, with
[TABLE]
for arbitrary p,q∈[1,∞].
Here,
C(1):=(2d)(d+1)2CdNQ2CΦ⋅max∣α∣≤d+1CQ,Φ,α,
with Cd as in Equation (6.5).
Lemma 7.4 shows that
∥Y∥Schur≤(1+RQ)d+1∥Y∥Schur<∞,
with Y as in Proposition 7.3.
Therefore, Proposition 7.3 shows that the system
(Tγgj)j∈J,γ∈CjZd is (w,w,Φ)-adapted, and hence the frame operator
S:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq) is well-defined
and bounded for all p,q∈[1,∞] by Corollary 4.10.
Lastly, it follows by
Proposition 7.3
and Corollary 5.9
that the frame operator S can be written as S=T0+R0, where
[TABLE]
where C(2):=C0Cp,q(C′)4∥ΓQ∥ℓwq→ℓwq,
with C0 as in (6.9)
and C′ as in Lemma 7.2,
and with Cp,q:=max{1,CΦ}⋅∥ΓQ∥ℓwq→ℓwq2.
Here, we used the easily verifiable estimate ∥ΓQ∥ℓwq→ℓwq≥1.
Therefore, for arbitrary p,q∈[1,∞], a combination of the above estimates gives
[TABLE]
Therefore, Lemma 5.4 implies that the frame operator
S=T0+R0:D(Q,Lp,ℓwq)→D(Q,Lp,ℓwq)
is boundedly invertible, as claimed.
Step 2.
In this step it will be shown that (7.3) already entails δ≤1.
To this end, first note that
A^{\prime}\leq\sum_{j\in J}|\widehat{g}(S_{j}^{-1}\eta)|^{2}\leq\big{(}\sum_{j\in J}|\widehat{g}(S_{j}^{-1}\eta)|\big{)}^{2},
and hence
∑j∈J∣g(Sj−1η)∣≥A′ for almost every η∈O.
Thus, for any fixed i∈J,
[TABLE]
Next, by applying Jensen’s inequality, we see that the constant M0 introduced in
Proposition 7.1 satisfies, for each i∈J, the estimate
[TABLE]
Overall, we see that
[TABLE]
and hence Cd,Q,w⋅κ⋅A′δ≥δ.
Thus, if δ satisfies Equation (7.3), then δ<1.
∎
Theorem 1.1, announced in the introduction,
is just a reformulation of Theorem 7.5,
with the following identifications of notation:
A=A′; B=B′; M1=∥Y∥Schur.
□
7.4. Banach frames and atomic decompositions
We now remark that, under the assumptions of Theorem 7.5,
the system (TδAj−tkgj)j∈J,k∈Zd
forms a Banach frame and an atomic decomposition ([33])
for the Besov-type spaces D(Q,Lp,ℓwq), and, moreover,
the corresponding dual family is given by the canonical dual frame.
Corollary 7.6**.**
Suppose that the assumptions of Theorem 7.5 are satisfied,
including the assumption (7.3).
Then the system (TδAj−tkgj)j∈J,k∈Zd
forms a Banach frame and an atomic decomposition
for all of the spaces D(Q,Lp,ℓwq), p,q∈[1,∞], with associated coefficient
space Ywp,q as in Definition 4.5.
Precisely, the analysis and synthesis maps
[TABLE]
are well-defined and bounded, and satisfy
[TABLE]
Proof.
Theorem 7.5 shows that
(TδAj−tkgj)j∈J,k∈Zd is (w,w,Φ)-adapted.
Thus, the boundedness of C,D
follows from Proposition 4.8.
The remaining statements follow from the invertibility of S=D∘C
proven in Theorem 7.5.
∎
7.5. An example
We conclude with an example verifying the hypotheses of Theorem 7.5
for Besov-type spaces associated with covers that have a geometry which is in a certain sense
intermediate between the geometry of the uniform and the dyadic covers.
These covers are an instance of the non-homogeneous isotropic covers
from [56, Section 2.5] and [58, Section 2.1];
the corresponding spaces are also known as α-modulation spaces
[32].
For similar calculations of other concrete examples,
we refer to [62].
For fixed α∈[0,1), the α-modulation space with parameters
p,q∈[1,∞] and s∈R is defined as
Mp,qs,α(Rd):=D(Q(α),Lp,ℓw(s,α)q),
where the cover Q(α) of Rd is given by
[TABLE]
where Aj(α):=∣j∣α0idRd,bj(α):=∣j∣α0j, andQ=Br(0),
with α0:=1−αα and r≥r0=r0(d,α).
Under this assumption on r, one can show that Q(α) is indeed
an affinely generated cover of Rd; see
[10, Theorem 2.6] and [62, Lemma 7.3].
Finally, the weight w(s,α) is given by
wj(s,α)=∣j∣s/(1−α)
for j∈Zd∖{0}.
In the following, we will simply write Q, Aj, and bj
for Q(α), Aj(α), and bj(α)
and fix some r≥r0(d,α).
Fix s0≥0. In the following, we will only consider “smoothness parameters” s∈[−s0,s0].
Take g∈L1(Rd)∩L2(Rd) such that g∈C∞(Rd),
and assume that there are c,C>0 and N>0 such that
[TABLE]
We will determine conditions on N
(depending on d,α,s0) which ensure that the prerequisites
of Theorem 7.5 are satisfied.
In fact, it will turn out that it is enough if N>4d+3+τ
where τ:=1−α4αd+3α+s0∈[0,∞).
To show this, note because of Qi′=Br(0) for all i∈Zd∖{0} that
[TABLE]
Thus, applying the change of variables η=Sj−1(Siξ),
combined with the estimate (7.4),
yields
[TABLE]
A similar computation shows
[TABLE]
Using the notations
[TABLE]
for i,j∈Zd∖{0} and k,M∈R, τ∈(0,∞),
we have thus shown
[TABLE]
This is useful, since
[62, Equation (7.13)]
shows for M≥d+1 that
[TABLE]
where C′=C′(α,d,M,r,τ,∣k∣).
Now, using that wj(s,α)=∣j∣s/(1−α) and
Aj=∣j∣α0id, a straightforward computation shows that
the quantity Li,j introduced in Lemma 7.4 satisfies
[TABLE]
where we introduced σ:=1−α3α(d+1)+s0∈[0,∞).
In combination with Equations (7.5)
and (7.6),
we thus see that the matrix elements Yi,j introduced in
Lemma 7.4 satisfy
[TABLE]
where C1=C1(d,α,N,r,s0).
From this, it is easy to see that ∥Y∥Schur≤C⋅C2<∞,
provided that N>4d+3+σ+dα0=4d+3+τ, where C2=C2(d,α,N,r,s0).
We have thus verified condition (iii) of Theorem 7.5.
Next, we show that M0<∞ for M0 as defined in
Proposition 7.1.
The same arguments as for estimating Yi,j give
[TABLE]
where C3=C3(α,d,N,r).
From this, we see that the constant M0 introduced in
Proposition 7.1 satisfies
M0=∥V∥Schur≤C2C4<∞ for a constant
C4=C4(α,d,N,r), as soon as N>21+d(1+α0),
which is implied by N>4d+3+σ+dα0.
Thus, condition (iv) of Theorem 7.5 is satisfied.
Lastly, we verify condition (ii) of Theorem 7.5,
that is, ∑j∈Zd∖{0}∣g(Sj−1ξ)∣2≥A′
for all ξ∈Rd, where A′:=c2, with c>0 as in
Equation (7.4).
To see this, note that Equation (7.4)
implies ∣g∣2≥c2\mathds1Q, where we recall Q=Br(0).
Hence, ∣g(Sj−1ξ)∣2≥c2\mathds1Qj, since Qj=SjQ.
Finally, since Q(α)=(Qj)j∈Zd∖{0} is a cover
of Rd, we see ∑j∈Zd∖{0}∣g(Sj−1ξ)∣2≥c2=A′,
as claimed.
Appendix A Estimation of the FL1 norm
A.1. Sobolev embeddings
In this appendix we give an explicit bound for the constant implied in the estimate
∥F−1f∥L1≲max∣α∣≤d+1∥∂αf∥L1.
Similar, but more qualitative results in the non-commutative context
can be found in [51, 36].
Lemma A.1**.**
Let d∈N and α,c>0.
Define
g:\mathbb{R}^{d}\to(0,\infty),x\mapsto\big{(}\max\{c,\|x\|_{\ell^{\infty}}\}\big{)}^{-\alpha}.
Then ∫Rdg(x)dx<∞ if and only if α>d,
and in this case
[TABLE]
Proof.
Let μ denote the Lebesgue measure on Rd.
We will use [25, Proposition 6.24], which shows for
measurable f:Rd→C that
[TABLE]
where
\lambda_{f}(\beta):=\mu\big{(}\{x\in\mathbb{R}^{d}\,:\,|f(x)|>\beta\}\big{)}\,.
To compute the distribution function λg, first note that
g(x)≤c−α for all x∈Rd, and thus λg(β)=0
for β≥c−α.
For 0<β<c−α, note that g(x)>β is equivalent to
∥x∥ℓ∞<β−1/α,
whence to x∈Bβ−1/α∥⋅∥ℓ∞(0).
Therefore, for any β∈(0,c−α), we compute
\lambda_{g}(\beta)=\mu\big{(}B_{\beta^{-1/\alpha}}^{\|\cdot\|_{\ell^{\infty}}}(0)\big{)}=(2\cdot\beta^{-1/\alpha})^{d}\,,
and thus
[TABLE]
which is finite if and only if d/α<1.
In the latter case, a direct calculation shows that
[TABLE]
yielding the desired result.
∎
The following result provides the announced estimate.
For this, we use the usual Sobolev space
[TABLE]
with norm ∥f∥Wk,1:=∑∣α∣≤k∥∂αf∥L1.
Lemma A.2**.**
Suppose f∈Wd+1,1(Rd).
Then F−1f∈L1(Rd) with
[TABLE]
where I:={0}∪{(d+1)eℓ:ℓ∈d}⊂N0d,
with (ek)k=1d denoting the standard basis of Rd.
Proof.
Since S(Rd)⊂Wd+1,1(Rd) is dense
(see e.g. [3, E10.8]),
and since F−1fn→F−1f uniformly if
fn→f in Wd+1,1(Rd)↪L1(Rd),
it suffices—in view of Fatou’s lemma—to prove the estimate for f∈S(Rd).
In this case, elementary properties of the Fourier transform yield
for all α∈N0d and x∈Rd the estimate
[TABLE]
Next, using the auxiliary function
g:Rd→(0,∞),x↦(max{(2π)−1,∥x∥ℓ∞})−(d+1),
it follows that
[TABLE]
Hence, it remains to compute the integral ∫Rdg(x)dx.
For this, note that an application of Lemma A.1
(with c=(2π)−1 and α=d+1) gives
∫g(x)dx=1−α−1d2d⋅cd−α=2d+1π⋅(d+1),
and thus
[TABLE]
which completes the proof.
∎
A.2. The chain rule
Lemma A.2 allows to estimate the FL1 norm of f in terms
of the L1 norms of certain derivatives of f.
In many cases, we will have f=g∘A, where we have good control
over the derivatives of g.
In such cases, the following lemma will be helpful.
Let d,k∈N, A∈Rd×d, and f∈Ck(Rd)
be arbitrary.
Let (e1,…,ed) denote the standard basis of Rd,
let i1,…,ik∈d, and define
α:=∑m=1keim∈N0d.
Then ∣α∣=k, and
[TABLE]
A.3. The norm of a reciprocal
Lemma A.4**.**
Let m∈N and let U⊂R be open.
Suppose that f∈Cm(U) never vanishes on U.
Let A>0, K≥0, and x0∈U be such that
[TABLE]
Then the reciprocal F:=1/f of f satisfies
[TABLE]
for all 1≤ℓ≤m, where the constant Cm satisfies,
for all 1≤ℓ≤m,
[TABLE]
Proof.
Setting g:R∖{0}→R,t↦t−1,
we have F=g∘f.
Therefore, the “set partition version” of Faa di Bruno’s formula,
see for instance [42, p. 219], shows for 1≤ℓ≤m
that
[TABLE]
where Pℓ⊂22ℓ denotes the sets
of all partitions of the set ℓ:={1,…,ℓ}.
Phrased differently, the set Pℓ contains exactly those subsets
π⊂2ℓ of the power set 2ℓ
for which ℓ=⨄π and B=∅ for all
B∈π.
For each π∈Pℓ, we denote by ∣π∣ the number of blocks of the
partition determined by π; that is, ∣π∣ is the number of elements
of π. Likewise, for a block B∈π, we denote by ∣B∣ the size
of the block, that is, the number of elements of B.
An induction argument shows that
g(k)(t)=(−1)k⋅k!⋅t−(k+1) for all k∈N0.
Therefore, for arbitrary π∈Pℓ, it follows that
∣g(∣π∣)(f(x0))∣=∣π∣!⋅∣f(x0)∣−(1+∣π∣)≤ℓ!⋅A1+∣π∣, since any π∈Pℓ satisfies
ℓ=∑B∈π∣B∣≥∑B∈π1=∣π∣.
Similarly, it follows that
[TABLE]
for all π∈Pℓ.
Combining these observations shows that
[TABLE]
where we used again that 1≤∣π∣≤ℓ for π∈Pℓ.
Since ℓ!≤m! and ∣Pℓ∣≤∣Pm∣
for ℓ≤m,
it suffices to show that Cm:=m!⋅∣Pm∣
satisfies the bound stated in the lemma. Here,
the cardinalities ∣Pm∣ are the so-called Bell numbers.
For these, [9, Theorem 2.1] provides the bound
|P_{m}|\leq\big{(}\frac{0.8\cdot m}{\ln(1+m)}\big{)}^{m}.
Furthermore, the version of Stirling’s formula derived in
[50] shows that
[TABLE]
Combining these estimates gives the desired result.
∎
(i) Let f∈SO(Rd) and
set K:=suppf⊂O.
For i∈I, the set
Ui:=φi−1(C∖{0}) is open.
Moreover, since ∑i∈Iφi≡1 on O,
it follows that O=⋃i∈IUi.
By compactness of K, there exists a finite subset IK⊂I
satisfying K⊂⋃ℓ∈IKUℓ⊂⋃ℓ∈IKQℓ.
Therefore, for any i∈I satisfying Qi∩K=∅, necessarily
∅=Qi∩K⊂Qi∩⋃ℓ∈IKQℓ,
and hence i∈IK∗:=⋃ℓ∈IKℓ∗, which is a finite subset of I.
By contraposition, we have Qi∩K=∅, and hence
φi⋅f≡0, for all i∈I∖IK∗.
Next, for each i∈IK∗, clearly
φi⋅f∈Cc∞(O),
and thus ∥F−1(φi⋅f)∥Lp<∞.
Therefore, setting
M:=maxi∈IK∗∥F−1(φi⋅f)∥Lp<∞
gives
[TABLE]
which shows that f∈D(Q,Lp,ℓwq).
(ii) Let p,q∈[1,∞).
Recall the notation CΦ=supi∈I∥F−1φi∥L1
from Definition 3.3.
Let f∈D(Q,Lp,ℓwq) and ε>0 be arbitrary.
Note c=(ci)i∈I∈ℓwq(I), where
ci:=∥F−1(φi⋅f)∥Lp
for i∈I.
Since ∥c∥ℓwq∑ji=∥f∥D(Q,Lp,ℓwq)<∞
and since q<∞, there exists a finite set I0=I0(ε,f)⊂I
such that the sequence
∑Lc:=c⋅\mathds1I∖I0 satisfies
[TABLE]
For each i∈I0∗:=⋃ℓ∈I0ℓ∗, let
ci∗:=(ΓQc)i=∑ℓ∈i∗cℓ and choose
some hi∈S(Rd) such that
\big{\|}\mathcal{F}^{-1}(\varphi_{i}^{\ast}\cdot\widehat{f}\,)-h_{i}\big{\|}_{L^{p}}\leq\delta\cdot c_{i}^{\ast},
where \delta:=(\varepsilon/2)\cdot\big{(}C_{\Phi}\cdot\|\Gamma_{\mathcal{Q}}\|_{\ell_{w}^{q}\to\ell_{w}^{q}}\big{)}^{-2}\cdot(1+\|c\|_{\ell^{q}_{w}})^{-1}.
This is possible since we have p<∞, and since if ci∗=0, then
∥F−1(φi∗⋅f)∥Lp≤∑ℓ∈i∗∥F−1(φℓf)∥Lp=ci∗=0.
Define gi:=hi∈S(Rd) for i∈I0∗,
and gi:=0 for i∈I∖I0∗.
We claim that
[TABLE]
for all i∈I.
To show this, distinguish the two cases i∈I0∗ and
i∈I∖I0∗.
In the first case,
[TABLE]
by choice of hi.
Since, furthermore, (ΓQc)i≥0, the estimate
(B.1) holds in the first case.
For the second case, we have gi=0.
Furthermore, i∈/I0∗ and thus ℓ∈/I0
for all ℓ∈i∗.
Therefore,
[TABLE]
As in the first case, we thus see that estimate
(B.1) holds.
Define g:=\mathcal{F}^{-1}\big{(}\sum_{i\in I}\varphi_{i}\cdot g_{i}\big{)}.
Then g∈SO(Rd) since gi=0 for all but finitely many
i∈I.
Next, note that φiφi∗=φi, and hence
[TABLE]
Using Young’s inequality, we thus get
[TABLE]
where the last inequality follows by (B.1).
This finally implies
[TABLE]
which completes the proof of (ii).
(iii) Since Q is a decomposition cover, the index set I is countably infinite.
Indeed, the sets \big{(}\varphi_{i}^{-1}(\mathbb{C}\setminus\{0\})\big{)}_{i\in I} form an open cover
of O.
Since O is second countable, there is a countable I0⊂I such that
O⊂⋃i∈I0φi−1(C∖{0})⊂⋃i∈I0Qi.
Finally, for i∈I, we have
∅=Qi⊂O⊂⋃ℓ∈I0Qℓ,
and hence i∈ℓ∗ for some ℓ∈I0.
In other words, I⊂⋃ℓ∈I0ℓ∗ is countable as a countable union
of finite sets.
Finally, if I was finite, then ∑i∈Iφi∈Cc(O),
in contradiction to O being open and to ∑i∈Iφi≡1 on O.
Thus, we can write I={in:n∈N} for pairwise distinct (in)n∈N.
For each i∈I, we have fi:=F−1(φif)∈Lp(Rd)
with suppfi⊂suppφi⊂Ui for the open set
Ui:=(φi∗)−1(C∖{0})⊂Qi∗⊂O,
since φi∗φi=φi.
Now, for each fixed i∈I, [60, Lemma 3.2] yields a sequence
(fi(n))n∈N of Schwartz functions such that ∣fi(n)∣≤∣fi∣ and
fi(n)n→∞fi pointwise, and such that
suppfi(n)⊂B1/n(suppφi), where
B1/n(suppφi):={ξ∈Rd:dist(ξ,suppφi)≤n−1}.
By choosing Ni∈N with B1/Ni(suppφi)⊂Ui,
and by replacing fi(1),…,fi(Ni) by fi(Ni),
we get suppfi(n)⊂Ui⊂Qi∗⊂O
for all i∈I and n∈N.
Note that we have fi(n)S′(Rd)n→∞fi.
Indeed, if p<∞, then this follows from fi(n)Lpn→∞fi,
which is a consequence of the dominated convergence theorem since ∣fi(n)∣≤∣fi∣∈Lp
and fi(n)→fi pointwise.
If p=∞ and h∈S(Rd), then fi(n)⋅h→fi⋅h
pointwise, and we have the estimate
∣fi(n)⋅h∣≤∣fi⋅h∣≤∥fi∥L∞⋅∣h∣∈L1, whence
⟨fi(n),h⟩S′,S→⟨fi,h⟩S′,S
by dominated convergence.
Now, define gN:=∑n=1Nfin(N)∈SO(Rd).
We first verify that gN→f with convergence in Z′(O).
To see this, let ψ∈Z(O) be arbitrary.
Then F−1ψ∈Cc∞(O),
so that K:=suppF−1ψ⊂O is compact.
Precisely as in the proof of Part (i), we thus see that there is a finite set IK⊂I
such that Qi∩K=∅ for all i∈I∖IK.
Therefore, Ui∩K⊂Qi∗∩K=∅,
and hence fi(n)⋅F−1ψ≡0,
for all i∈I∖IK∗.
Now, choose N0=N0(K)∈N such that IK∗⊂{i1,…,iN0}.
If N≥N0, we then have
[TABLE]
where the last equality follows since {i1,…,iN}⊃IK∗ and
fi(N)⋅F−1ψ≡0 for i∈I∖IK∗.
Next, using that fi(N)→fi in S′ and noting that
F−1ψ=∑i∈IφiF−1ψ=∑i∈IK∗φiF−1ψ,
we see that
[TABLE]
Thus, gNN→∞f with convergence in Z′(O).
Finally, we construct a sequence F=(Fi)i∈I∈ℓwq(I;Lp)
such that each gN is (F,Φ)-dominated.
To this end, set Fi:=∑ℓ∈i∗∗∣\widecheckBlubφi∣∗∣fℓ∣,
where fℓ:=F−1(φℓ⋅f).
Note because of suppfin(N)⊂Qin∗ that
φi⋅fin(N)≡0 can only hold for in∈i∗∗.
Therefore, since ∣fi(m)∣≤∣fi∣, we get
[TABLE]
Finally, setting c=(ci)i∈I with
ci:=∥F−1(φif)∥Lp, we see
because of i∗∗=⋃j∈i∗j∗ that
[TABLE]
Thus, F∈ℓwq(I;Lp) with
∥F∥ℓwq(I;Lp)≤CΦ∥ΓQ∥ℓwq→ℓwq2⋅∥f∥D(Q,Lp,ℓwq),
since ∥f∥D(Q,Lp,ℓwq)=∥c∥ℓwq.
□
Before proving Proposition 5.7,
we first collect a few properties of the “generalized multiplication operation” ⊙
introduced in Definition 5.5.
Lemma C.1**.**
Let p∈[1,∞].
For f,g∈FL1(Rd) and h∈FLp(Rd), the following properties hold:
(i)
f⊙(g⊙h)=(f⊙g)⊙h.
2. (ii)
If f∈S(Rd), then f⊙h=f⋅h.
3. (iii)
If p∈[1,2], then f⊙h=f⋅h.
4. (iv)
We have supp(f⊙h)⊂suppf∩supph,
where the support is understood in the sense of tempered distributions.
Proof.
(i) Note that \widecheckBlubf,\widecheckBlubg∈L1(Rd) and \widecheckBlubh∈Lp(Rd).
Thus, Young’s inequality shows for almost all x∈Rd that
(∣\widecheckBlubf∣∗(∣\widecheckBlubg∣∗∣\widecheckBlubh∣))(x)<∞.
For each such x, a standard calculation using Fubini’s theorem shows
((\widecheckBlubf∗\widecheckBlubg)∗\widecheckBlubh)(x)=(\widecheckBlubf∗(\widecheckBlubg∗\widecheckBlubh))(x).
Hence, both sides are identical as tempered distributions.
Thus, (f⊙g)⊙h=f⊙(g⊙h).
(iii)
It is well-known that if p∈[1,2], then
φ∗ψ=φ⋅ψ
for φ∈L1(Rd) and ψ∈Lp(Rd).
Indeed, for φ,ψ∈S(Rd), the identity is clear;
furthermore, it follows from the Hausdorff-Young inequality that as elements of Lp′(Rd),
both sides of the identity depend continuously on φ∈L1(Rd) and ψ∈Lp(Rd).
Therefore, f⊙h=F[\widecheckBlubf∗\widecheckBlubh]=f⋅h.
(iv) Let φ∈Cc∞(Rd) with
suppφ⊂Rd∖suppf.
There is ψ∈Cc∞(Rd) with
φ=φ⋅ψ and suppψ⊂Rd∖suppf.
Furthermore, by combining Properties (i) and (ii), we see that
[TABLE]
Because of φ=ψ⋅φ, this entails
⟨f⊙h,φ⟩S′,S=⟨ψ⋅(f⊙h),φ⟩S′,S=0.
Since this holds for every φ∈Cc∞(Rd) with
suppφ⊂Rd∖suppf, we see supp(f⊙h)⊂suppf.
The argument for supp(f⊙h)⊂supph is similar.
∎
With this preparation, we can now provide the proof of Proposition 5.7.
Before proving the claims, we show that Φh is well-defined,
with unconditional convergence in Z′(O) of the defining series.
For brevity, let
ψi:=F−1[(φi∗h)⊙(φif)]∈S′(Rd).
This is well-defined since (5.10)
implies φih∈FL1, and
φi∗h=∑ℓ∈i∗φℓh∈FL1(Rd).
Since F:Z′(O)→D′(O) is an isomorphism, it is enough to show that
the series ∑i∈IFψi converges unconditionally in D′(O).
To see this, note that suppψi⊂suppφi⊂Qi
for all i∈I, by Property (iv) of Lemma C.1.
Therefore, ∑i∈IFψi converges unconditionally in
D′(O) as a locally finite111Here, we use that if ξ0∈O is arbitrary, then ξ0∈Qℓ
for some ℓ∈I and hence φℓ∗(ξ0)=1.
Thus, U:={ξ∈O:∣φℓ∗(ξ)∣>1/2}⊂Qℓ∗
is an open neighborhood of ξ0; finally, if U∩Qi=∅,
then also U∩Qi=∅ and hence
i∈ℓ∗∗=⋃j∈ℓ∗j∗,
proving that the family (Qi)i∈I is locally finite on O.
sum of (tempered) distributions.
(ii) As above, let ψi(n):=F−1[(φi∗h)⊙(φifn)].
Note that fn→f in D′(O), since fn→f in Z′(O).
Thus, setting ex:Rd→C,ξ↦e2πi⟨x,ξ⟩
for x∈Rd, an application of [54, Theorem 7.23]
shows that
[TABLE]
for all i∈I and x∈Rd. Therefore, using that
⟨F∗G,φ⟩S′,S=∫RdG(x)⋅(φ∗F)(x)dx
with F(x)=F(−x) for F∈L1,G∈Lp,
and the estimate ∣F−1(φifn)∣≤Fi∈Lp(Rd),
we get by the dominated convergence theorem
[TABLE]
for all φ∈S(Rd) and i∈I.
Here, we used that
φ∗φi∗h∈L1(Rd)∩L∞(Rd)⊂Lp′(Rd).
Now, let φ∈Z(O) be arbitrary, so that F−1φ∈Cc∞(O).
Then there is a finite set Iφ⊂I such that
suppF−1φ⊂Qic for all i∈I∖Iφ.
Since suppFψi⊂Qi
and suppFψi(n)⊂Qi,
this implies
⟨ψi,φ⟩Z′,Z=⟨Fψi,F−1φ⟩D′,Cc∞=0
for all i∈I∖Iφ. The same holds for ψi replaced by ψi(n).
Thus,
[TABLE]
This shows that Φhfn→Φhf with convergence in Z′(O).
Finally, we see for ℓ∈I directly by definition of ψi(n) and by
definition of the “extended multiplication” ⊙ that
[TABLE]
This shows that
∑jF−1(φℓψi(n))=F−1(φi∗h)∗F−1(φiφℓfn)=0
if ℓ∈I∖i∗, since then φiφℓ≡0.
Therefore, since ∣F−1(φℓfn)∣≤Fℓ, we see
[TABLE]
In view of Young’s inequality, we see
[TABLE]
and hence ∥G∥ℓwq(I;Lp)≤NQ2CΦCh⋅∥F∥ℓwq(I;Lp)<∞,
so that indeed each Φhfn is (G,Φ)-dominated.
(i) By applying Property (ii) to the constant sequence given by fn=f for all n∈N
and with Fi:=∣F−1(φif)∣, we see that
Φhf is (G,Φ)-dominated for a function G∈ℓwq(I;Lp) satisfying
∥G∥ℓwq(I;Lp)≤NQ2CΦCh⋅∥F∥ℓwq(I;Lp)=NQ2CΦCh⋅∥f∥D(Q,Lp,ℓwq).
This proves the claim.
(iii) If f∈Cc(O), then φif∈Cc(O)⊂L2(Rd),
so that
(φi∗h)⊙(φif)=(φi∗h)⋅(φif)=φi⋅hf;
see Lemma C.1(iii).
Since hf∈Cc(O), it follows
hf=∑i∈I[φi⋅hf],
where only finitely many terms do not vanish.
Hence, by definition of Φhf,
[TABLE]
(iv) We have
[TABLE]
so that g⋅h is tame.
Part (iii) shows for f∈SO(Rd) that Φgf=F−1(gf),
which in particular implies F[Φgf]∈Cc(O).
Thus, by Part (iii) again,
ΦhΦgf=F−1[h⋅F[Φgf]]=F−1(hgf)=Φghf.
Finally, for arbitrary f∈D(Q,Lp,ℓwq), Proposition 3.13
yields a sequence (fn)n∈N⊂SO(Rd) which is (F,Φ)-dominated
for some F∈ℓwq(I;Lp) and such that fn→f in Z′(O).
By Part (ii), this implies Φghfn→Φghf and Φgfn→Φgf
in Z′(O). Furthermore, there is G∈ℓwq(I;Lp) such that
each Φgfn is (G,Φ)-dominated.
Thus, a final application of Part (ii) implies
[TABLE]
which completes the proof.
∎
Appendix D Other auxiliary results
D.1. An estimate for
the series ∑k∈Zd(1+∣η+Ak∣)−(d+1)
Lemma D.1**.**
For η∈Rd and A∈GL(d,R),
[TABLE]
Proof.
First, note that the function
Θ:Rd→[0,∞],x↦∑k∈Zd(1+∣x+k∣)−(d+1)
is Zd-periodic, and hence
∥Θ∥sup=∥Θ∣[0,1)d∥sup.
For x∈[0,1)d, we have
∥k∥∞≤1+∥x+k∥∞≤1+∣x+k∣,
and thus 1+∥k∥∞≤2(1+∣x+k∣).
Therefore, Θ(x)≤2d+1⋅∑k∈Zd(1+∥k∥∞)−(d+1).
In order to estimate this last term, we rewrite it using [25, Proposition 6.24]
as
[TABLE]
Let f:Zd→(0,1],k↦(1+∥k∥∞)−(d+1).
For λ≥1, clearly {k∈Zd:f(k)>λ}=∅.
In contrast, for λ∈(0,1),
[TABLE]
and thus
|\{k\in\mathbb{Z}^{d}\,:\,f(k)>\lambda\}|\leq\big{(}1+2\lfloor\lambda^{-1/(d+1)}-1\rfloor\big{)}^{d}\leq 2^{d}\cdot\lambda^{-d/(d+1)},
which implies
[TABLE]
for all x∈[0,1)d, whence Θ(x)≤(d+1)⋅21+2d for all x∈Rd.
Now, let A∈GL(d,R) be arbitrary.
Then
[TABLE]
and hence
\big{(}1+|\eta+Ak|\big{)}^{-(d+1)}=\big{(}1+|A(k+A^{-1}\eta)|\big{)}^{-(d+1)}\leq\max\big{\{}1,\|A^{-1}\|^{d+1}\}\cdot\big{(}1+|k+A^{-1}\eta|\big{)}^{-(d+1)}.
Overall, we see for arbitrary η∈Rd and A∈GL(d,R) that
[TABLE]
finishing the proof.
∎
As a corollary, we get the following estimate for the series where we sum over
k∈Zd∖{0} instead of k∈Zd.
Corollary D.2**.**
For η∈Rd and A∈GL(d,R), we have
[TABLE]
Proof.
We distinguish two cases.
First, suppose ∣A−1η∣≤31.
Then, noting that ∣k∣≥1 for all k∈Zd∖{0}, we get the estimate
∣k+A−1η∣≥∣k∣−∣A−1η∣≥2∣k∣+21−∣A−1η∣≥2∣k∣≥41+∣k∣.
Next, note that ∣x∣=∣A−1Ax∣≤∥A−1∥∣Ax∣,
and hence ∣Ax∣≥∥A−1∥−1∣x∣ for all x∈Rd.
This implies
For brevity, set \llangleξ\rrangle:=1+∣ξ∣2 for ξ∈Rd.
With this notation, [62, Lemma 6.8]
shows for arbitrary θ∈R and α∈N0d that there
is a polynomial Pθ,α∈R[ξ1,…,ξd] such that,
for all ξ∈Rd,
[TABLE]
where Cθ,α=∣α∣!⋅[2(1+d+∣θ∣)]∣α∣.
Since (1+∣ξ∣)k≤2k⋅\llangleξ\rranglek/2 for all k≥0,
it follows that
[TABLE]
for all ξ∈Rd, θ∈R and α∈N0d.
Next, for θ=−21(d+1) and any α∈N0d
with ∣α∣≤d+1,
[TABLE]
Combining Equations (D.2)
and (D.3) with the elementary estimate
1+∣ξ∣≤2\llangleξ\rrangle1/2, we see that
[TABLE]
For the estimate concerning h1, note that
since Cθ,α=C−θ,α, we also have
C_{(d+1)/2,\beta}\leq\big{(}3\cdot(d+1)^{2}\big{)}^{d+1}
for all β∈N0d with ∣β∣≤d+1.
Hence, using the Leibniz rule and
Equations (D.2) and
(D.3),
it follows for arbitrary ξ∈Rd that
[TABLE]
which completes the proof. □
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