1 Introduction
In [Reference Ionescu and Muhly17], we began to investigate how groupoids might be used to study wavelets. We were inspired by the interesting mix of harmonic analysis with the ‘Cuntz Relations’ that had appeared recently in the literature (see Ola Bratteli and Palle Jorgensen’s important book [Reference Bratteli and Jorgensen7] and paper [Reference Bratteli and Jorgensen6] and the references cited therein), but we were also discomfited by a lack of evident unifying structure that behaved with some semblance of functoriality. The relations among the parameters involved were unclear to us and needed clarification. The pioneering paper of Stephane Mallat [Reference Mallat23] offered (and continues to offer) inspiration on how to develop a functorial setting for wavelets and fractal analysis. So, we begin there.
Recall the definition of a multiresolution analysis (MRA) that forms the foundation of the subject.
Definition 1.1. An MRA is a sequence
$\{V_j\}_{j\in \mathbb {Z}}$
of closed subspaces of
$L^2(\mathbb {R})$
such that:
-
(MRA1)
$V_j\subset V_{j+1}, j\in \mathbb {Z}$
; -
(MRA2)
$\bigcup _{j= -\infty }^{\infty }V_j$
is dense in
$L^2(\mathbb {R})$
; -
(MRA3)
$\bigcap _{j= -\infty }^{\infty }V_j=\{0\}$
; -
(MRA4)
$f(x)\in V_j$
if and only if
$f(2x)\in V_{j+1}$
for all
$j\in \mathbb {Z}$
; -
(MRA5) if
$f(x)\in V_j$
, then
$f(x-2^{-j}k)\in V_j$
for all
$k\in \mathbb {Z}$
; and -
(MRA6) translation by
$\mathbb {Z}$
on
$\mathbb {R}$
restricted to
$V_0$
is unitarily equivalent to translation by
$\mathbb {Z}$
on
$\ell ^2(\mathbb {Z})$
.
To the uninitiated, it may be surprising that MRAs exist. In fact, they exist in superabundance. The following theorem, which is distilled from [Reference Mallat23, Theorems 1 and 2] begins to exhibit what lies at the heart of the proof of the existence of an MRA.
Theorem 1.2. Each MRA may be constructed from a function, H, on
$\mathbb {T}$
that satisfies:
-
(1)
$\vert H(1)\vert =1$
; -
(2)
$\vert H(z)\vert ^2 + \vert H(-z)\vert ^2 =1 \text { for all } z;$
-
(3)
$H(z)\neq 0$
, when
$\Re (z)>0$
.
The correspondence between such functions and MRAs is essentially bijective.
Each such H is called a Quadrature Mirror Filter (QMF). Of course, it may seem that we have just shifted one difficult problem to another. In a sense, we have. However, the theorem gives an important change of focus.
A brief outline of the proof reveals the relation between MRAs and QMFs. Given H, the product
$\Pi _{k=1}^{\infty }H(e^{2\pi i(2^{-k}\omega )})$
,
$\omega \in \mathbb {R}$
, converges almost everywhere to a function,
$\widehat {\phi }$
, in
$L^2(\mathbb {R})$
, whose Fourier transform,
$\phi $
, lies in the space
$V_0$
of an MRA and the sequence
$\{\!\hspace{-0.5pt}\sqrt {2^j}\phi (2^jx-k)\}_{k\in \mathbb {Z}}$
is an orthonormal basis for
$V_j$
for each j. Here,
$\phi $
is called the scaling function for the MRA. Conversely, given an MRA, Item (MRA6) guarantees the existence of a scaling function, whose Fourier transform,
$\widehat {\phi }$
, satisfies
where M is a
$2\pi $
-periodic function on
$\mathbb {R}$
. This M passes to a QMF H on
$\mathbb {T}$
.
The structure of an H is revealed through its interaction with the irreversible dynamical system on
$\mathbb {T}$
In many, if not all, of the myriad variations on, or generalizations of, Mallat’s analysis, there are local homeomorphisms in the background that play fundamental roles similar to that of
$z\to z^2$
. We are thus led to study these, which we do through the lens of groupoid harmonic analysis that is focused on the Deaconu–Renault groupoid of a local homeomorphism.
Apart from this introduction, our paper is divided into 12 sections, and these, in turn, are partitioned into three parts. Part I consists of Sections 2–4, in which we develop some general background about groupoid harmonic analysis. The key feature about groupoids that we emphasize is that they provide useful coordinates for
$C^*$
-algebras of interest. Further, algebraic operations on groupoid
$C^*$
-algebras are often mirrored directly in the groupoids. In particular, Rieffel’s theories of induced representations and Morita equivalence are reflected in the notion of equivalence of groupoids first developed in [Reference Muhly, Renault and Williams25]. Further, still, what proves especially important for this paper is the recent contribution of Rohit Dilip Holkar [Reference Holkar14] in which he advances the notion of a topological correspondence and the attendant concept of an adjoining function. The reader should bear in mind that
$C^*$
-algebras form a category in which a morphism from a
$C^*$
-algebra A to a
$C^*$
-algebra B is a certain type of
$A\text {--}B$
-bimodule called a
$C^*$
-correspondence. This is a directed construct: if
$\mathcal {X}$
is such a bimodule, one says that
$\mathcal {X}$
is a
$C^*$
-correspondence from A to B. In a sense that we make clear, topological correspondences are the morphisms in the category whose objects are groupoids with Haar systems. The equivalences from [Reference Muhly, Renault and Williams25] are the isomorphisms. Holkar’s adjoining functions parameterize the noninvertible correspondences.
Part II, which covers Sections 5–9, begins in Section 5 with some review materials from [Reference Ionescu and Muhly17]. In that paper, we showed how to express much of the wavelet analysis in terms of the
$C^*$
-algebra of the Deaconu–Renault groupoid
$G(X,\sigma )$
of a generic local homeomorphism
$\sigma $
of a compact Hausdorff space X. Here, we want to show how ‘transfer operators’ from statistical mechanics parameterize the left inverses of the endomorphism of
$C(X)$
induced by composition with
$\sigma $
. This parameterization is used in Section 13 to identify those adjoining functions of Holkar that give rise to scaling functions. Section 6 is devoted to building a new groupoid from
$G(X,\sigma )$
, denoted
$G_{\infty }(X,\sigma )$
, which is the ‘pullback’ of
$G(X,\sigma )$
by the limit,
$X_{\infty }$
, of the canonical projective system built from iterates of
$\sigma $
.
The groupoid
$G_{\infty }(X,\sigma )$
is equivalent to
$G(X,\sigma )$
in the sense of [Reference Muhly, Renault and Williams25], but, by virtue of being a pullback, the
$C^*$
-algebra of
$G_{\infty }(X,\sigma )$
carries a copy of
$C^*(G(X,\sigma ))$
inside it and, as we show in Section 7, there is a conditional expectation from
$C^*(G_{\infty }(X,\sigma ))$
onto the copy of
$C^*(G(X,\sigma ))$
. We use this conditional expectation coupled with Holkar’s analysis to build a
$C^*$
-correspondence
$\mathcal {X}$
from
$C^*(G_{\infty }(X,\sigma ))$
to
$C^*(G(X,\sigma ))$
that is not invertible in the collection of
$C^*$
-correspondences from
$C^*(G_{\infty }(X,\sigma ))$
to
$C^*(G(X,\sigma ))$
. Further, in the space of bounded adjointable operators on
$\mathcal {X}$
,
$\mathcal {L}(\mathcal {X})$
, we build a sequence of projections
$\{\mathbb {E}_j\}_{j= -\infty }^{\infty }$
and a unitary operator U with the following properties:
-
(PMRA1)
$\mathbb {E}_j\leq \mathbb {E}_i$
when
$j\leq i$
; -
(PMRA2)
$I_{\mathcal {X}}=\bigvee _{-\infty < j < \infty } \mathbb {E}_j$
; -
(PMRA3)
$U\mathbb {E}_jU^*= \mathbb {E}_{j-1}$
for all j; and -
(PMRA4) the copy of
$C^*(G(X,\sigma ))$
in
$C^*(G_{\infty }(X,\sigma ))$
leaves the range of
$\mathbb {E}_j\ominus \mathbb {E}_{j-1}$
invariant, while
$U^{j-i}$
implements a unitary equivalence between the restriction of the copy of
$C^*(G(X,\sigma ))$
to the range of
$\mathbb {E}_j\ominus \mathbb {E}_{j-1}$
and the restriction of the copy to the range of
$\mathbb {E}_i\ominus \mathbb {E}_{i-1}$
.
We call the pair
$(\{\mathbb {E}_j\}_{j= -\infty }^{\infty }, U)$
a proto-multiresolution analysis because of the evident relations with Definition 1.1. Property (PMRA1) is a clear variant of Item (MRA1), while Property (PMRA2) corresponds to Item (MRA2). Items (MRA4), (MRA5), and (MRA6) are captured in part by Properties (PMRA3) and (PMRA4).
What is conspicuously absent from the defining properties of a proto-multiresolution analysis is anything that relates to Item (MRA3). To understand what may happen, we choose a
$C^*$
- representation
$\pi $
of
$C^*(G(X,\sigma ))$
acting on a Hilbert space
$\mathcal {H}_{\pi }$
and form the induced representation
$ \operatorname {Ind}_{\pi }$
of
$C^*(G_{\infty }(X,\sigma ))$
, which acts on
$\mathcal {X}\otimes _{\pi }H_{\pi }$
. An application of
$\operatorname {Ind}_{\pi }$
to the proto-multiresolution analysis yields a system of operators,
$\{\mathbb {E}_j\otimes I\}_{j= -\infty }^{\infty }$
and
$U\otimes I$
, which live in
$B(\mathcal {X}\otimes H_{\pi })$
. When we form the spaces
$V_j:=\mathbb {E}_j\otimes I(\mathcal {X}\otimes H_{\pi })$
,
$- \infty < j < \infty $
, we obtain a family of Hilbert spaces that satisfy the evident analogues of Properties (PMRA1)–(PMRA4). However, also, as we show in Theorem 9.5, we can determine, in terms of
$\pi $
, when
$\bigcap _j V_j=\{0\}$
. When this intersection is
$\{0\}$
, we have a generalized multiresolution analysis in the sense of [Reference Baggett, Medina and Merrill4].
In Part III, which comprises Sections 10–13, we analyze when representations
$\pi $
of
$C^*(G(X,\sigma ))$
give rise to generalized multiresolution analyses. Our analysis culminates in Theorem 12.1, which shows that
$\pi $
gives rise to a generalized MRA if and only if the endomorphism of
$C(X)$
determined by
$\sigma $
admits a transfer operator with properties that are fairly easy to determine. We apply Theorem 12.1 to
$\sigma $
’s, which are local homeomorphisms of the circle
$\mathbb {T}$
determined by finite Blaschke products in Section 13. In Theorem 13.7, we give our proof of Mallat’s theorem from the paragraph above Theorem 1.2. Our proof reveals the role of a scaling function: it implements a Hilbert space isomorphism between
$\mathcal {X}\otimes H_{\pi }$
and
$L^2(\mathbb {R})$
that maps the
$\{V_j\}_{-\infty < j <\infty }$
to a complete nest in
$L^2(\mathbb {R})$
that faithfully reflects the features of
$\operatorname {Ind}_{\pi }$
. Thus, the scaling function is the link between the dynamical system
$(X,\sigma )$
and
$L^2(\mathbb {R})$
. So, in the event that there is a scaling function, we refer to all the structure it reveals simply as a multiresolution analysis in
$L^2(\mathbb {R})$
.
Scaling functions are constructed by carefully punching holes in the potentials that are used to generate transfer operators for
$\sigma $
. (See Lemma 13.4.) These potentials, in turn, are built from Holkar’s adjoining functions.
It may seem that our version of Mallat’s analysis is unnecessarily complicated. However, as we show, it has three advantages. First, and foremost, it puts into evidence precisely the roles that the various parameters play. Second, it provides new proofs of other results in the literature. We have in mind, in particular, [Reference Bratteli and Jorgensen6, Theorem 3.1], [Reference Baggett, Larsen, Merrill, Packer and Raeburn2, Theorem 8], and [Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Theorem 3.1]. Third, it reveals a whole new world of examples that deserves to be explored.
Part I Selected generalities about groupoids
2 Groupoids and Haar systems
We use Dana Williams’s book [Reference Williams36] as our basic reference about groupoids. We supplement it with Jean Renault’s thesis [Reference Renault26] and his treatise on amenable groupoids, written with Claire Anantharaman-Delaroche [Reference Anantharaman-Delaroche and Renault1]. A generic second countable, locally compact, Hausdorff groupoid is denoted by G. Its unit space is denoted
$G^{(0)}$
and r and s denote the range and source maps, mapping G to
$G^{(0)}$
. It is part of the definition of a ‘locally compact groupoid’ that these maps are continuous and open.
The important role of ‘open-ness’ is revealed through ‘duality’.
Definition 2.1. [Reference Anantharaman-Delaroche and Renault1, Definition 1.1.1] Let
$\pi :Y\to X$
be a continuous map between locally compact Hausdorff spaces. A continuous
$\pi $
-system is a family
$\{\alpha ^x\mid x\in X\}$
of positive Radon measures on Y such that:
-
(1) the support of each
$\alpha ^x$
,
$\operatorname {supp}{\alpha ^x}$
, is contained in
$\pi ^{-1}(x)$
; and -
(2) the map
$\alpha $
defined on
$C_c(Y)$
by the formula
$\alpha (f)(x)= \int f\, d\alpha ^x$
carries
$C_c(Y)$
into
$C_c(X)$
.
We write
$\alpha = \{\alpha ^x\}_{x\in X}$
and call
$\alpha $
proper provided
$\alpha ^x\neq 0$
for all
$x\in X$
, while we call
$\alpha $
full in the case where the support of each
$\alpha ^x$
is all of
$\pi ^{-1}(x)$
.
Remark 2.2. The map
$\pi :Y\to X$
makes
$C_c(Y)$
a right module over
$C_c(X)$
via the formula
Also, one may view
$C(X)$
as a right module over itself induced by the identity map on X. So, from the perspective of these modules, a continuous
$\pi $
-system,
$\alpha $
, defines a
$C_c(X)$
-module map from
$C_c(Y)_{C_c(X)}$
to
$C_c(X)_{C_c(X)}$
that maps nonnegative functions on Y to nonnegative functions on X. Conversely, the Riesz representation theorem implies that every such module map defines a continuous
$\pi $
-system. Further, it is a consequence of what we like to call the Williams–Blanchard theorem [Reference Williams36, Corollary B.18] that full continuous
$\pi $
-systems exist if and only if
$\pi $
is an open map.
A key feature of groupoid theory is the superabundance of fibered products. Suppose X, Y, and Z are three sets, and
$f:X\to Z$
and
$g:Y\to Z$
are two maps, then the fibered product of X and Y determined by f and g is
Definition 2.3. A groupoid G acts on a set X (on the left) in the case where there is a map
$\rho : X\to G^{(0)}$
, called the moment map or anchor map, and a composition map
, from the fibered product
$G\,{_s\ast _{\rho }}\,X$
to X satisfying:
-
(1)
$\rho (x)\cdot x=x$
for all
$x\in X$
; -
(2)
$\rho (\gamma \cdot x)= r(\gamma )$
for all
$(\gamma ,x)\in G\,{_s\ast _{\rho }}\,X$
; and -
(3)
$(\alpha \beta )\cdot x= \alpha \cdot (\beta \cdot x)$
for all
$\alpha $
,
$\beta $
, and x such that
$s(\alpha )=r(\beta )$
,
$s(\beta )=\rho (x)$
.
The action is continuous if all the maps involved are continuous and the moment map is open.
Right actions of groupoids are defined similarly. The corresponding moment map is denoted by
$\sigma $
.
Definition 2.4. Let G act continuously on X and on Y, and let
$\pi :Y\to X$
be an invariant continuous map, that is,
$\pi $
intertwines the two actions—
$\pi (\gamma \cdot x)=\gamma \cdot \pi (x)$
, then a continuous
$\pi $
-system of measures
$\alpha = \{\alpha ^x\}_{x\in X}$
is invariant (or equivariant) for the actions in the case where the map
$\alpha $
viewed as a map from
$C_c(Y)$
to
$C_c(X)$
is invariant, that is,
If
$X=Y=G$
, while
$\pi $
is the identity map, and if
$\rho $
is the range map, r, then a full invariant system of measures is a Haar system on G. Typically, we denote Haar systems by
$\lambda $
and write also
$\lambda = \{\lambda ^u\}_{u\in G^0}$
. Together with a Haar system
$\lambda $
, the space
$C_c(G)$
, consisting of continuous complex-valued functions on G endowed with the inductive limit topology, becomes a locally convex topological
$*$
-algebra, called the convolution algebra of G and
$\lambda $
, and denoted
$C_c(G,\lambda )$
. The product is defined by the formula
$$ \begin{align*} f*g(\gamma):=\int_G f(\alpha)g(\alpha^{-1}\gamma)\, d\lambda^{r(\gamma)}(\alpha),\quad f,g\in C_c(G,\lambda), \end{align*} $$
and the involution is defined by
The
$C^*$
-algebra of G and a Haar system
$\lambda $
is the enveloping
$C^*$
-algebra of
$C_c(G,\lambda )$
, and is denoted
$C^*(G,\lambda )$
(see [Reference Renault26, Section 2.1] and [Reference Williams36, Section 1.4]).
Here, we provide a telegraphic account of groupoid representations that involve Hilbert spaces. Later, we discuss representations of groupoids on certain Hilbert
$C^*$
-modules.
Representations of groupoids take place on Hilbert bundles that are fibred over their unit spaces. The representations of the associated convolution algebras take place on the Hilbert spaces obtained by integrating the fibres of the bundles using quasi-invariant measures on the unit spaces [Reference Williams36, Ch. 3]. How to build quasi-invariant measures for our groupoids is the focus of much of Parts II and III of this paper.
If G is a locally compact groupoid with Haar system
$\lambda :=\{\lambda ^u\}_{u\in G^{(0)}}$
and if
$\mu $
is a (positive) measure on
$G^{(0)}$
, then one may form the measure on G that is denoted
$\mu \circ \lambda $
and is defined by the formula:
$$ \begin{align*} \int_G f(\gamma)\, d\mu \circ \lambda(\gamma):= \int_{G^{(0)}}\int_G f(\gamma)\, d\lambda^{r(\gamma)}(\gamma)\,d\mu(r(\gamma)),\quad f\in C_c(G). \end{align*} $$
Composing
$\mu \circ \lambda $
with the inverse map on G creates a new measure, denoted
$(\mu \circ \lambda )^{-1}$
. The measure
$\mu $
is called quasi-invariant in the case where
$\mu \circ \lambda $
and
$(\mu \circ \lambda )^{-1}$
are mutually absolutely continuous, in which case, the function
$\Delta _\mu := ({d(\mu \circ \lambda )})/({d(\mu \circ \lambda )^{-1}})$
is called the modular function of
$\mu $
and
$\lambda $
. The modular function
$\Delta _\mu $
, while defined only almost everywhere with respect to
$\mu \circ \lambda $
, can be chosen so that it is a homomorphism from G to the positive real numbers [Reference Williams36, Proposition 7.6].
A (unitary) representation of a groupoid G is a triple
$(\mu ,G^{(0)}\ast \mathcal {H},\hat {L})$
, where
$\mu $
is a quasi-invariant measure on
$G^{(0)}$
,
$G^{(0)}\ast \mathcal {H}$
is a Borel Hilbert bundle on
$G^{(0)}$
, and
$\hat {L}:G\to {\operatorname {Iso}}(G^{(0)}\ast \mathcal {H})$
is a homomorphism of G into the unitary groupoid,
${\operatorname {Iso}}(G^{(0)}\ast \mathcal {H})$
, of the bundle
$G^{(0)}\ast \mathcal {H}$
. By definition,
$\text {Iso}(G^{(0)}\ast \mathcal {H}):=\{(u,U,v)\mid U\in B_{\text {iso}} (H_v,H_u)\}$
, where
$B_{\text {iso}}(H_v,H_u)$
is the space of all Hilbert space isomorphisms from
$H_v$
to
$H_u$
. It carries a Borel structure induced by that of
$G^{(0)}*\mathcal {H}$
. The product of
$(u,U,v)$
and
$(w,V,z)$
is defined only when
$v=w$
and in that case, the product is
$(u,UV,z)$
. Since G carries a Borel structure that is generated by its topology, it makes perfectly good sense to insist that
$ \hat {L}$
be a Borel homomorphism from G to
$\text {Iso}(G^{(0)}\ast \mathcal {H})$
as described in [Reference Williams36, Proposition 3.38]. We write
where
$L_{\gamma }$
lies in
$B_{\text {iso}}(H_{s(\gamma )},H_{r(\gamma )})$
.
Given a Borel Hilbert bundle
$G^{(0)}\ast \mathcal {H}$
and (sigma-finite) Borel measure
$\mu $
, one can form the Hilbert space consisting of all its Borel sections
$\mathfrak {h}$
such that
$\int _{G^{(0)}}\langle \mathfrak {h}(u),\mathfrak {h}(u)\rangle _u\, d\mu (u)$
is finite. This space is denoted
$L^2(G^{(0)}\ast \mathcal {H},\mu )$
and the inner product of two sections
$\mathfrak {h}$
and
$\mathfrak {k}$
is given by the expected integral
$$ \begin{align*} ( \mathfrak{h},\mathfrak{k}): = \int_{G^{(0)}}(\mathfrak{h}(u),\mathfrak{k}(u))_{H_u} \, d\mu(u). \end{align*} $$
When the dimensions of the fibres are one, we may choose a nonvanishing cross-section
$\mathfrak {k}$
of norm one in
$L^2(G^{(0)}\ast \mathcal {H},\mu )$
. Then, if
$\mathfrak {h}$
is another cross-section, it can be written as
$\mathfrak {h}=c\cdot \mathfrak {k}$
, where c is a uniquely determined complex-valued Borel function on
$G^{(0)}$
. The map
$\mathfrak {h}\to c$
is a Hilbert space isomorphism from
$L^2(G^{(0)}\ast \mathcal {H},\mu )$
onto the space of scalar-valued, square-integrable functions on
$G^{(0)}$
,
$L^2(G^{(0)},\mu )$
. It enables us to replace
$L^2(G^{(0)}\ast \mathcal {H},\mu )$
with
$L^2(G^{(0)},\mu )$
and to carry out computations there.
Let
$(\mu ,G^{(0)}\ast \mathcal {H},\hat {L})$
be a unitary representation of G in the unitary groupoid,
${\operatorname {Iso}}(G^{(0)}\ast \mathcal {H})$
. The integrated form,
$\mathfrak {L}$
, of L represents the convolution algebra of G,
$C_c(G,\lambda )$
, on
$L^2(G^{(0)}*\mathcal {H},\mu )$
via the formula
$$ \begin{align} \mathfrak{L}(f)\mathfrak{h}(r(\gamma)): & = \int_{G}f(\gamma)L_{\gamma}(\mathfrak{h}(s(\gamma))\Delta(\gamma)^{-1/2}\, d\lambda^{r(\gamma)}(\gamma),\nonumber\\ & \quad\quad f\in C_c(G,\lambda), \mathfrak{h}\in L^2(G^{(0)}\ast \mathcal{H},\mu). \end{align} $$
This formula extends to all Borel functions f such that
$\mathfrak {L}(f)$
makes sense as a bounded operator on
$L^2(G^{(0)}\ast \mathcal {H},\mu )$
.
Turning to groupoid representations on Hilbert
$C^*$
-modules and Holkar’s ideas [Reference Holkar14, Reference Holkar15], suppose A and B are
$C^*$
-algebras and
$\mathcal {X}$
is a (right) Hilbert module over B with a B-valued inner product
$\langle \cdot , \cdot \rangle $
in the sense of Lance [Reference Lance20, Ch. 1]. We say that
$\mathcal {X}$
is a
$C^*$
-correspondence from A to B in the case where A is represented in the algebra of all bounded adjointable operators on
$\mathcal {X}$
,
$\mathcal {L}(\mathcal {X})$
. In this event, following Rieffel [Reference Rieffel33], one may induce
$C^*$
-representations of A from
$C^*$
-representations of B by forming balanced tensor products: for a
$C^*$
-representation of B,
$\pi $
, on the Hilbert space
$\mathcal {H}$
,
$\mathcal {X}\otimes _{\pi } \mathcal {H}$
becomes a Hilbert space in the inner product that is defined on decomposable tensors by
$ \langle \xi \otimes h, \eta \otimes k\rangle : = \langle h,\pi (\langle \xi , \eta \rangle )k\rangle. $
The representation,
$\operatorname {Ind}_{\pi }:A\to B(\mathcal {X} \otimes _{\pi } \mathcal {H})$
, then, is defined by
$\operatorname {Ind}_{\pi }(a)(\xi \otimes h):=(a\cdot \xi )\otimes h, a\in A$
,
$\xi \otimes h \in \mathcal {X}\otimes \mathcal {H}$
, that is,
$\operatorname {Ind}_{\pi }(a) = L(a)\otimes I_{\mathcal {H}}$
.
Suppose that
$A=C^*(H,\beta )$
and
$B=C^*(G,\lambda )$
for groupoids H and G endowed with Haar systems
$\beta $
and
$\lambda $
. Holkar showed how to build a correspondence from A to B using what he calls a topological correspondence from
$(H,\beta )$
to
$(G,\lambda )$
.
Definition 2.5. A topological correspondence from
$(H,\beta )$
to
$(G,\lambda )$
is a pair
$(Z,\alpha )$
where we have the following.
-
(1) Z is a locally compact H–G bispace, meaning that Z is a right G-space with moment map
$\sigma $
and a left H-space with moment map
$\rho $
such that
$\eta \cdot (z\cdot \gamma )=(\eta \cdot z)\cdot \gamma $
for all
$\eta \in H$
,
$\gamma \in G$
, and
$z\in Z$
, for which the formula is defined. -
(2) The action of G on Z is proper in the sense of [Reference Williams36, Definition 2.15].
-
(3)
$\alpha =\{\alpha _u\}_{u\in G^{(0)}}$
is a G-invariant, continuous
$\sigma $
-system of measures on Z in the sense of Definition 2.4 that is also proper in the sense of Definition 2.1. -
(4) There is a continuous positive function
$\Delta _a$
defined on
$H*Z$
such that for all
$$ \begin{align*} \int_{Z}\int_H F(\eta^{-1},z)\,d\beta^{\rho(z)}(\eta)d\alpha_u(z)=\int_Z\int_{H} F(\eta,\eta^{-1}z)\Delta_a(\eta,\eta^{-1}z)\,d\beta^{\rho(z)}(\eta)d\alpha_u(z) \end{align*} $$
$u\in G^{(0)}$
and
$F\in C_c(H*Z)$
. The function
$\Delta _a$
is called the adjoining function for
$(Z,\alpha )$
.
We emphasize that the system of measures
$\alpha $
must be proper but not necessarily full. We use the notation
$\Delta _a$
for the adjoining function to distinguish it from the modular function,
$\Delta $
or
$\Delta _\mu $
, of a quasi-invariant measure
$\mu $
. The main theorem in [Reference Holkar14, Theorem 2.10] proves that
$C_c(Z)$
can be endowed with operations that give rise to a
$C^*$
-correspondence from
$C^*(H,\beta )$
to
$C^*(G,\lambda )$
.
An equivalence
$(Z,\alpha )$
, where
$\alpha $
is a full
$\sigma $
-system, between
$(H,\beta )$
and
$(G,\lambda )$
in the sense of [Reference Muhly, Renault and Williams25, Definition 2.1] is a particular example of a topological correspondence. The adjoining function
$\Delta _a$
is the constant function 1 in this situation [Reference Holkar14, Example 3.9]. The
$C^*$
-algebras
$C^*(H,\beta )$
and
$C^*(G,\lambda )$
are Morita equivalent [Reference Muhly, Renault and Williams25], and the
$C^*$
-correspondence defined above becomes an imprimitivity bimodule. We specialize this setting further in Sections 5 and 9 by setting
$H=G$
,
$Z=G$
, and
$\alpha _x=\lambda _x$
for all
$x\in X$
, where
$\{\lambda _{u}\}_{u\in G^{(0)}}$
is the right Haar system determined by
$\lambda $
,
$\int f(\gamma )\,d\lambda _{u}(\gamma ):=\int f(\gamma ^{-1})\,d\lambda ^{u}(\gamma )$
. Then,
$(G,\alpha )$
is an equivalence between
$(G,\beta )$
and
$(G,\lambda )$
, where
$\beta $
can be a different Haar system on G. When we view
$(G,\alpha )$
as a topological correspondence from
$(G,\lambda )$
to
$(G,\lambda )$
, we denote it by
$\mathcal {X}_0$
.
3 Pullbacks, imprimitivity groupoids, and Haar systems
Throughout this section, G is a groupoid with Haar system
$\lambda $
; Y is a second countable, locally compact Hausdorff space; and
$\Phi :Y\to G^{(0)}$
is a continuous, open, and surjective map. We explore Haar systems on two related groupoids,
$G^Z$
and
$Y\ast G \ast Y$
, that are built from G,
$\lambda $
,
$\Phi $
, and continuous
$\Phi $
-systems of measures on Y.
The space Z is defined to be the fibered product,
It carries the evident right G action through right translation on G:
This action of G on Z is free and proper because the action of G on G via right translation is free and proper.
To define the imprimitivity groupoid determined by G and Z,
$G^Z$
, let
$\sigma :Z\to G$
be the map,
$\sigma (y,\gamma ):=s(\gamma )$
and set
Then, G acts on the right on
$Z*Z$
by the diagonal action
$(x,y)\cdot \gamma =(x\gamma ,y\gamma )$
. The imprimitivity groupoid determined by G and Z is
$G^{Z}:=Z*_{G}Z:=(Z*Z)/G$
. The unit space of
$G^{Z}$
can be identified with
$Z/G$
, which in turn may be identified with Y, and the range and source maps on
$G^{Z}$
are given by
The space Z becomes a free and proper left
$G^{Z}$
-space as follows. The moment map
$\rho :Z\to Z/G$
is the quotient map; so,
$G^{Z}*Z$
is
$\{([x,y],z)\in G^{Z}\times Z\mid y\cdot G=z\cdot G\}$
. The left action of
$G^{Z}$
on Z is defined via the formula
where
$\gamma $
is the unique element in G such that
$z=y\cdot \gamma $
. The space Z is a free and proper left
$G^{Z}$
-space and, in fact, Z is an equivalence between
$G^{Z}$
and G [Reference Muhly, Renault and Williams25, Section 2].
Proposition 3.1. The imprimitivity groupoid
$G^{Z}$
is isomorphic to the pullback groupoid determined by Y and
$\Phi $
,
$Y*G*Y$
, where
is endowed with the operations
and
Proof. It is easy to check that
$\Psi :G^{Z}\to Y*G*Y$
defined via
is an isomorphism with the desired properties.
We next want to discuss how the Haar system
$\lambda :=\{\lambda ^{u}\}_{u\in G^{(0)}}$
on G may be ‘induced’ to Haar systems on
$G^Z$
and
$Y\ast G \ast Y$
. We start by choosing an arbitrary continuous
$\Phi $
-system of measures
$\nu :=\{\nu _{u}\}_{u\in G^{(0)}}$
on Y (as per Definition 2.1). While, as the following lemma shows, we need
$\nu $
to be a full
$\Phi $
-system to obtain a Haar system on
$G^Z$
, we proceed with arbitrary systems. We use proper nonfull systems to define groupoid correspondences in later sections. We then promote
$\nu $
to a system of measures
$\mathfrak {k}: = \{\mathfrak {k}_u\}_{u\in G^{(0)}}$
on Z defined by the formula:
$$ \begin{align*} \mathfrak{k}_{u}(f):=\int_{G_{u}}\int_{Y}f(y,\gamma)\,d\nu_{r(\gamma)}(y)\,d\lambda_{u}(\gamma),\quad u\in G^{(0)}, \end{align*} $$
for
$f\in C_{c}(Z)$
.
The Haar system on
$Y*G*Y$
defined by
$\mathfrak {k}$
was studied in [Reference Williams36, Proposition 6.27], which is reproduced here as the following proposition.
Proposition 3.2. Assume that
$\nu $
is a full
$\Phi $
-system. The equation
$$ \begin{align} \beta(f)(x):=\int_{G^{\Phi(x)}}\int_{Y}f(x,\gamma,y)\,d\nu_{s(\gamma)}(y)\,d\lambda^{\Phi(x)}(\gamma),\quad x\in Y, \end{align} $$
defines a Haar system,
$\beta $
, on
$Y*G*Y$
.
It is important for us that we can induce representations from
$(G,\lambda )$
to
$(G^Z,\beta )$
as in Section 4 using
$\Phi $
-systems of measures that are not full by using the theory of groupoid correspondences. We provide here the main set-up in a slightly more general setting. Assume that G is a locally compact Hausdorff groupoid endowed with a Haar system
$\lambda $
. Assume that Z is a right G-space with a continuous, open, and surjective anchor map
$\sigma :Z\to G^{(0)}$
and let
$\alpha :=\{\alpha _u\}_{u\in G^{(0)}}$
be a full
$\sigma $
-system that is invariant under the action of G on Z in the sense of Definition 2.4. Since
$\sigma (z\cdot \gamma ) = s(\gamma )$
, this means that
$\int f(z\cdot \gamma )\,d \alpha _{r(\gamma )}(z)=\int f(z)\,d\alpha _{s(\gamma )}(z)$
. Let
$G^Z:=Z{_\sigma *_\sigma }Z/G$
be the imprimitivity groupoid determined by Z. Then,
$\alpha $
determines a Haar system
$\beta $
on
$G^Z$
via
$$ \begin{align} \int_{G^Z}f([x,y])\,d\beta^{xG}([x,y])=\int_Z f([x,y])\,d\alpha_{s(x)}(y) \end{align} $$
for all
$xG\in Z/G$
[Reference Kumjian, Muhly, Renault and Williams18, Proposition 5.2]. This Haar system on
$G^Z$
is fixed for the remainder of the section.
Let
$\delta $
be a nonnegative function on Z that is invariant under the action of G. This implies, of course, that the pointwise product
$\delta \cdot \alpha $
is an invariant system of measures. In addition, we assume that
$\delta \cdot \alpha $
is a proper invariant system, which we denote by
$\alpha _{\delta }$
. This assumption places constraints on how the support of
$\delta $
is distributed. We write
Lemma 3.3.
$(Z,\alpha _\delta )$
is a topological correspondence in the sense of Definition 2.5 with the adjoining function
$\Delta _a([x,y],z)=\delta (y)/\delta (x)$
.
Remark 3.4. Note that if
$Z=\{x\in X\,\mid\,\delta (x)=0\}$
, then
$\alpha _\delta (Z)=0$
. Hence,
$\Delta _a$
is well defined on the support of
$\alpha _{\delta ,u}$
.
Proof of Lemma 3.3.
Conditions (i), (ii), and (iii) of Definition 2.5 are satisfied by our assumptions. We check the fourth condition of the definition. Let
$F\in C_c(G^Z*Z)$
. For
$u\in G^{(0)}$
, we have
$$ \begin{align*} &\int_{Z}\int_{G^Z}F ([x,y]^{-1},z)\,d\beta^{zG}([x,y])\,d\alpha_{\delta,u}(z)\\ &\quad = \int_{Z}\int_Z F([z,y]^{-1},z)\,d\alpha_{u}(y)\,d\alpha_{\delta,u}(z)\\ &\quad = \int_Z\int_Z F([y,z],z)\delta(z)\,d\alpha_u(y)\,d\alpha_u(z)\\ &\quad = \int_Z\int_ZF([z,y],[y,z]z)\delta([y,z]z)\,d\alpha_u(y)\,d\alpha_u(z)\\ &\quad = \int_Z\int_Z F([z,y],y)\delta(y)\,d\alpha_u(y)\,d\alpha_u(z)\\ &\quad = \int_Z\int_Z F([z,y],y)(\delta(y)/\delta(z))\,d\alpha_u(y)\,\delta(z)\,d\alpha_u(z)\\ &\quad = \int_Z\int_ZF([z,y],y)\Delta_a([z,y],y)\,d\alpha_u(y)\,d\alpha_{\delta,u}(z)\\ &\quad = \int_Z\int_{G^Z}F([z,y],y)\Delta_a([z,y],y)\,d\beta^{zG}([z,y])\,d\alpha_{\delta,u}(z). \end{align*} $$
The first line follows from (3-2), the second line from the definition of
$\alpha _\delta $
, and the third line follows since
$(Z,\alpha )$
is an equivalence between
$G^Z$
and G (see [Reference Holkar14, Examples 3.9 and 3.8]). The remaining lines follow by defining
$\Delta _a([x,y],z)=\delta (y)/\delta (x)$
, from (3-2), and from the definition of
$\alpha _\delta $
.
Example 3.5. Returning to the main case we study, assume that
$\Phi :Y\to G^{(0)}$
is a continuous, open, surjective map. Let
$\nu =\{\nu _u\}_{u\in G^{(0)}}$
be a full
$\Phi $
-system of measures. Let
$Z=Y*G$
and
$\alpha =\{\alpha _u\}_{u\in G^{(0)}}$
be the invariant full s-system defined via
$$ \begin{align*} \int_Z f(x,\gamma)\,d\alpha_u(x,\gamma)=\int_G\int_Y f(x,\gamma)\,d\nu_{r(\gamma)}(x)\,d\lambda_u(\gamma). \end{align*} $$
That is,
$\alpha _u=\mathfrak {k}_u$
of Definition 3. Let
$\mathbb {d}:Y\to \mathbb {R}^+$
be a continuous function. Then,
$\delta :Z\to \mathbb {R}^+$
defined via
$\delta (x,\gamma )=\mathbb {d}(x)$
satisfies the hypothesis that
$\delta ((x,\gamma )\eta )=\delta (x,\gamma )$
. Lemma 3.3 implies that
$(Z,\alpha _\delta )$
is a topological correspondence, where
$$ \begin{align} \int_Z f(x,\gamma)\,d\alpha_{\delta,u}(x,\gamma)=\int_G \int_Y f(x,\gamma)\mathbb{d}(x)\,d\nu_{r(\gamma)}(x)\,d\lambda_u(\gamma) \end{align} $$
and the adjoining function is defined via
$\Delta _a((x,\gamma ,y),(y,\eta ))=\mathbb {d}(y)/\mathbb {d}(x)$
.
4 Inducing representations to the pullback groupoid
Continuing with the notation from Section 3, observe that the title of the current section may appear confusing because the groupoid G is not a subgroupoid of the pullback groupoid,
$Y\ast G \ast Y$
. Rather, it is a quotient of
$Y\ast G \ast Y$
. However, as we have shown in Proposition 3.1,
$Y\ast G \ast Y$
is isomorphic to
$G^Z$
, which is the imprimitivity groupoid of the right G-space
$Z:=Y\ast G$
. So, it is natural to try to use the theory developed by Rieffel in [Reference Rieffel33] coupled with the equivalence theorem of [Reference Muhly, Renault and Williams25, Theorem 2.8] to induce representations of G to
$G^Z$
and relate them to representations of
$Y\ast G \ast Y$
using the isomorphism
$\Psi $
. One of the difficulties we face when trying to do this is the necessity in this paper to use nonfull
$\Phi $
-systems of measures on Y. This leads to groupoid correspondences from
$Y*G*Y$
to G, and we can use [Reference Holkar14] to induce representations from
$C^*(G,\lambda )$
to
$C^*(Y*G*Y,\beta )$
and [Reference Renault32] to induce representations from
$(G,\lambda )$
to
$(Y*G*Y,\beta )$
. Our analysis leads to two different Hilbert space representations of the convolution algebra
$C_c(Y\ast G \ast Y,\beta )$
that one may induce from a Hilbert space representation of the convolution algebra
$C_c(G,\lambda )$
. These are denoted
$\operatorname {Ind}_{\text {J}}\mathfrak {L}$
and
$\operatorname {Ind}_{\text {M}}\mathfrak {L}$
, where
$\mathfrak {L}$
is a prescribed Hilbert space representation of
$C_c(G,\lambda )$
that comes from a representation
$\hat {L}$
of the groupoid G in the isomorphism groupoid of a Hilbert bundle built over
$G^{(0)}$
. Our purpose in this section is to define
$\operatorname {Ind}_{\text {J}}\mathfrak {L}$
and
$\operatorname {Ind}_{\text {M}}\mathfrak {L}$
, and to show that they are unitarily equivalent. (See Theorem 4.1.)
We begin with a unitary representation,
$\hat {L}=(\mu ,G^{(0)}*\mathcal {H},\hat {L})$
, of
$(G,\lambda )$
in the unitary groupoid
${\operatorname {Iso}}(G^{(0)} \ast \mathcal {H})$
and form its integrated form
$\mathfrak {L}$
, representing the convolution algebra,
$C_c(G,\lambda )$
, on
$L^2(G^{(0)} \ast \mathcal {H},\mu )$
(see text following Definition 2.4). These ingredients are fixed throughout this section, as are the modular function
$\Delta _{\mu }$
determined by
$\mu $
and the Haar system
$\lambda $
on G. We also fix a full
$\Phi $
-system
$\nu $
on Y that determines a full invariant s-system
$\alpha $
on
$Z=Y*G$
. The Haar system
$\beta $
on
$Y*G*Y$
is fixed and given as in (3-1).
We let
$\mathbb {d}:Y\to \mathbb {R}^+$
be a continuous function such that
$\mathbb {d}|_{\Phi ^{-1}(u)}\ne 0$
for all
$u\in G^{(0)}$
. Then,
$\mathbb {d}(x)$
defines a proper
$\Phi $
-system of measures
$\nu _{\mathbb {d}}$
via
for all
$u\in G^{(0)}$
. Let
$\delta (x,\gamma ):=\mathbb {d}(x)$
and let
$\alpha _\delta $
be the proper invariant
$\sigma $
-system defined as in (3-3). Lemma 3.3 implies that
$(Z,\alpha _\delta )$
is a topological correspondence. We describe next the process of inducing the groupoid representation
$\hat {L}=(\mu ,G^{(0)}*\mathcal {H},\hat {L})$
, of
$(G,\lambda )$
to a groupoid representation of
$(Y*G*Y,\beta )$
via
$(Z,\alpha _\delta )$
following Renault’s ideas presented in [Reference Renault32]. The result is a triple,
$\operatorname {Ind} \hat {L}:=(\mu _{\operatorname {Ind}},Y*\mathcal {K},\operatorname {Ind} \hat {L})$
, which we call the (unitary) induced representation of
$(Y\ast G \ast Y, \beta )$
. The measure,
$\mu _{\operatorname {Ind}}$
, is defined on Y, the unit space of
$Y\ast G \ast Y$
, through the formula
$$ \begin{align*} \int_Y f(x)\,d\mu_{\operatorname{Ind}}(x):=\int_{G^{(0)}}\int_Y f(x)\,d\nu_{\mathbb{d},u}(x)\,d\mu(u) \end{align*} $$
for all
$f\in C_c(Y)$
. The following equation, (4-2), shows that
$\mu _{\operatorname {Ind}}$
is indeed quasi-invariant on Y when
$Y*G*Y$
is endowed with the Haar system
$\beta $
defined in (3-1). It also shows that the modular function
$\Delta _{\mu _{\operatorname {Ind}}}$
is given by the equation
$\Delta _{\mu _{\operatorname {Ind}}}(x,\gamma ,y)=\Delta _\mu (\gamma )\mathbb {d}(x)/\mathbb {d}(y)$
for all
$(x,\gamma ,y)\in Y*G*Y$
. The computation, itself, is a conscientious application of Fubini’s theorem coupled with the quasi-invariance of the measure
$\mu $
on
$G^{(0)}$
:
$$ \begin{align} \mu_{\operatorname{Ind}}\circ \beta(f) & =\int_{Y}\int_{Y*G*Y}f(x,\gamma,y)\,d\beta^x(x,\gamma,y)\,d\mu_{\operatorname{Ind}}(x) \nonumber\\ & =\int_{G^{(0)}}\int_Y\int_{G}\int_Y f(x,\gamma,y)\Delta_\mu(\gamma)(\mathbb{d}(x)/\mathbb{d}(y))\,d\nu_{r(\gamma)}(x)\,d\lambda_u(\gamma)\mathbb{d}(y)\,d\nu_u(y)\,d\mu(u)\nonumber\\ &=\int_Y\int_{Y*G*Y}f(x,\gamma,y)\Delta_\mu(\gamma)\mathbb{d}(x)/\mathbb{d}(y)\,d\beta_y(x,\gamma,y)\,d\mu_{\operatorname{Ind}}(y) \nonumber\\ &=\Delta_{\mu_{\operatorname{Ind}}} (\mu_{\operatorname{Ind}}\circ \beta)^{-1}(f) \end{align} $$
for all
$f\in C_c(Y\ast G \ast Y)$
.
The Hilbert space bundle
$Y*\mathcal {K}$
is the pull-back Hilbert space bundle
$Y*\mathcal {H}: =\{(x,h)\mid x\in Y\quad \text {and}\quad h\in \mathcal {H}(\Phi (x))\}$
over Y. That is,
$\mathcal {K}(y)=\mathcal {H}(\Phi (y))$
. The induced action of the pullback groupoid
$Y*G*Y$
on
$Y*\mathcal {H}$
is given by
The integrated form of
$\operatorname {Ind} \hat {L}$
is denoted
$\operatorname {Ind}_{\text {J}} \mathfrak {L}$
and is defined on
$L^2(Y*\mathcal {H},\mu _{\operatorname {Ind}})$
via the equation
$$ \begin{align} & ( (\operatorname{Ind}_{\text{J}} \mathfrak{L})(f) \mathfrak{h},\mathfrak{k} ) \nonumber\\ & \quad = \int_Y\int_{Y*G*Y}f(x,\gamma,y)( (\operatorname{Ind} L)_{(x,\gamma,y)}\mathfrak{h}(\Phi(y)),\mathfrak{k}(\Phi(x)) )\Delta_{\mu_{\operatorname{Ind}}}(x,\gamma,y)^{-1/2} d\beta^x(x,\gamma,y) \nonumber\\ & \quad\quad \cdots d\mu_{\operatorname{Ind}}(x) \nonumber\\ & \quad =\int_{G^{(0)}}\int_Y\int_G\int_Y f(x,\gamma,y)(L_\gamma(\mathfrak{h}(\Phi(y)))\,,\mathfrak{k}(\Phi(x)))\Delta_\mu(\gamma)^{-1/2}\mathbb{d}(x)^{1/2}\mathbb{d}(y)^{1/2}\nonumber\\ & \quad\quad \cdots d\nu_{s(\gamma)}(y)\,d\lambda^u(\gamma)\,d\nu_{u}(x)\,d\mu(u) \end{align} $$
for all
$f\in C_c(Y*G*Y)$
,
$\mathfrak {h},\mathfrak {k}\in L^2(Y*\mathcal {H},\mu _{\operatorname {Ind}})$
.
We abbreviate
$L^2(Y*\mathcal {H},\mu _{\operatorname {Ind}})$
with
$H_{\operatorname {Ind}_{\text {J}}\mathfrak {L}}$
.
We turn now to a description of Rieffel’s perspective on induced representations. Recall from Lemma 3.3 that
$(Z,\alpha _\delta )$
, where
$\delta (x,\gamma )=\mathbb {d}(x)$
, is topological correspondence from
$(Y*G*Y,\beta )$
to
$(G,\lambda )$
. Reference [Reference Holkar14, Theorem 2.10] (see Definition 2.5) implies that
$C_c(Z)=C_c(Y*G)$
can be completed to a
$C^*$
-correspondence from
$C^*(Y*G*Y, \beta )$
to
$C^*(G,\lambda )$
via the formulas listed below. The right action of
$C_c(G,\lambda )$
on
$C_c(Z)$
is given by the integral
$$ \begin{align} (\xi\cdot b)(x,\gamma)=\int_G \xi(x,\gamma\eta)b(\eta^{-1})\,d\lambda^{s(\gamma)}(\eta), \quad \xi \in C_c(Z),\, b\in C_c(G,\lambda). \end{align} $$
The inner product on
$C_c(Z)$
with values in
$C_c(G,\lambda )$
is defined by the integral
$$ \begin{align} \langle \xi,\eta \rangle_{C_c(G)}(\gamma) =\int_G\int_{Y} \overline{\xi(x,\zeta)}\eta(x,\zeta\gamma)\,d\nu_{\mathbb{d},r(\zeta)}(x)\,d\lambda_{r(\gamma)}(\zeta), \end{align} $$
and the left action of
$C_c(Y\ast G \ast Y, \beta )$
on
$C_c(Z)$
is given by the integral
$$ \begin{align} (a\cdot \xi)(x,\gamma)=\int_G\int_{Y}a(x,\zeta,y)\xi(y,\zeta^{-1}\gamma)\mathbb{d}(y)^{1/2}/\mathbb{d}(x)^{1/2}\,d\nu_{s(\zeta)}(y)\,d\lambda^{r(\gamma)}(\zeta), \end{align} $$
where
$ a \in C_c(Y\ast G \ast Y,\beta )$
and
$\xi \in C_c(Z)$
.
So, we may define the representation of
$C_c(Y\ast G \ast Y, \beta )$
that is induced in the sense of Rieffel from the representation
$\mathfrak {L}$
which, recall, is the integrated form of the representation
$\hat {L}=(\mu ,G^{(0)}\ast \mathcal {H},\hat {L})$
of the groupoid G. The Hilbert space for
$\mathfrak {L}$
is
$H_{\mathfrak {L}}:=L^2(G^{(0)}\ast \mathcal {H},\mu )$
.
The Hilbert space
$H_{\operatorname {Ind}_{M}\mathfrak {L}}$
of Rieffel’s induced representation,
$\operatorname {Ind}_{M}\mathfrak {L}$
, is the completion of the algebraic tensor product
$C_c(Z)\odot H_{\mathfrak {L}}$
under the inner product
for
$\xi ,\eta \in C_c(Z)$
and
$\mathfrak {h},\mathfrak {k}\in H_{\mathfrak {L}}$
. The induced representation
$\operatorname {Ind}_{\text {M}}\mathfrak {L}$
acts on
$H_{\operatorname {Ind}_{\text {M}}\mathfrak {L}}$
via the formula
for all
$f\in C_c(Y*G*Y)$
,
$\xi \in C_c(Z)$
, and
$\mathfrak {h}\in H_{\mathfrak {L}}$
.
The following theorem is anticipated in the discussion at the bottom of the first page of [Reference Renault32]. We need a precise statement.
Theorem 4.1. Define
$\mathfrak {U}:C_c(Z)\odot H_{\mathfrak {L}}\to H_{\operatorname {Ind}_{\text {J}}\mathfrak {L}}$
via
$$ \begin{align} \mathfrak{U}(\xi\otimes \mathfrak{h})(x)=\int_{G^{\Phi(x)}}\xi(x,\gamma)L_\gamma \mathfrak{h}(s(\gamma))\Delta_\mu(\gamma)^{-1/2}d\lambda^{\Phi(x)}(\gamma). \end{align} $$
Then,
$\mathfrak {U}$
extends to a Hilbert space isomorphism from
$H_{\operatorname {Ind}_{\text {M}}\mathfrak {L}}$
to
$H_{\operatorname {Ind}_{\text {J}}\mathfrak {L}}$
that intertwines
$\operatorname {Ind}_{\text {M}} \mathfrak {L}$
and
$\operatorname {Ind}_{\text {J}} \mathfrak {L}$
.
Proof. The proof that
$\mathfrak {U}$
is an isometry and that it intertwines
$\operatorname {Ind}_{\text {M}} \mathfrak {L}$
and
$\operatorname {Ind}_{\text {J}} \mathfrak {L}$
is a tedious but straightforward computation using the invariance of the Haar system
$\lambda $
, the homomorphism property of
$\Delta _\mu $
, and Fubini’s theorem. Arguing as in the proof of [Reference Renault27, Lemma 2.3], one can prove that
$\mathfrak {U}$
has dense range. Thus,
$\mathfrak {U}$
is a unitary, and
$\operatorname {Ind}_{\text {M}} \mathfrak {L}$
and
$\operatorname {Ind}_{\text {J}}$
are unitarily equivalent.
Part II From Deaconu–Renault groupoids to proto-multiresolution analyses
5 The Deaconu–Renault groupoid
The principal player in this paper is the Deaconu–Renault groupoid of a local homeomorphism. Our goal in this section is to review some of its salient features and to show how it leads organically to the theory of transfer operators.
We begin with the following definition.
Definition 5.1. Let X be a second countable, compact Hausdorff space and let
$\sigma :X\to X$
be a surjective local homeomorphism. The Deaconu–Renault Groupoid defined by X and
$\sigma $
is
The product
$(x,k-l,y)(w,m-n,z)$
is defined only when
$y=w$
and then
The inverse of
$(x,k-l,y)$
is
$(y,l-k,x)$
.
The unit space of
$G(X,\sigma )$
is identified with X, and the maps
$r:G(X,\sigma )\to X$
and
$s:G(X,\sigma )\to X$
given by
$r(x,k-l,y):= x$
and
$s(x,k-l,y):=y$
are the range and source maps. Because
$\sigma $
is assumed to be a surjective local homeomorphism, it is easy to see that
$G(X,\sigma )$
viewed as a subset of
$X\times \mathbb {Z} \times X$
with the relative topology is locally compact and Hausdorff, and that the maps r and s are local homeomorphisms. Consequently,
$G(X,\sigma )$
is an example of what nowadays is universally known as an étale groupoid.
It is useful at times to ‘change variables’ and rewrite the defining formulas for
$G(X,\sigma )$
as Valentin Deaconu did in [Reference Deaconu9]:
Two triples,
$(x,n,y)$
and
$(w,m,z)$
, can be multiplied if and only if
$y = w$
, in which case
$(x,n,y)(y,m,z)=(x,m+n,z)$
;
$(x,n,y)^{-1}=(y,-n,x)$
.
The fact that
$G(X,\sigma )$
is étale implies that the family of counting measures on the fibers of r, taken together, constitute a Haar system,
$\lambda = \{\lambda ^x\}_{x\in X}$
, on
$G(X,\sigma )$
. The formula for convolution becomes
$$ \begin{align*} f\ast g(x,k-l,y):= & \int_{G(X,\sigma)}f(\alpha)g(\alpha^{-1}\gamma)\,d\lambda^{r(\gamma)}(\alpha)\\ = & \sum f(x,m-n,z)\cdot g(z,(n+k)-(m+l),y), \end{align*} $$
where
$\alpha :=(z,n-m,w)$
,
$\gamma : = (x,k-l,y)$
, and where the sum ranges over all
$m,n$
, and z such that
$\sigma ^m (x) = \sigma ^n (z)$
. The adjoint of a function f is defined by
To get a feeling for this algebra, let U and V be open subsets of X, suppose k and l are such that the restrictions,
$\sigma ^l|U$
and
$\sigma ^k|V$
, are homeomorphisms with common range, i.e.,
$ \sigma ^k(U)=\sigma ^l(V)$
, and let
Then,
$Z(U,V,k,l)$
is essentially the graph of
$(\sigma ^l|_V)^{-1}\circ (\sigma ^k|_U)$
and is a G-set in the sense of Renault [Reference Renault26, Definition 1.10]. It is also an open subset of
$G(X,\sigma )$
. Under an evident notion of composition discussed in [Reference Renault26, page 10], these open G-sets form an inverse semigroup which also is a basis for the topology of
$G(X,\sigma )$
. (The germs of such G-sets are explored in [Reference Renault28].) If a G-set
$Z:=Z(U,V,k,l)$
happens also to be closed, then its characteristic function
$1_Z$
is an element of
$C_c(G(X,\sigma ),\lambda )$
which, when properly scaled, yields a partial isometry in
$C_c(G(X,\sigma ),\lambda )$
.
Another important class of subsets of
$G(X,\sigma )$
is defined by the equations
Each
$R_{n,m}$
is compact and open in
$G(X,\sigma )$
, so its characteristic function
$1_{R_{n,m}}$
lies in
$C_c(G(X,\sigma ),\lambda )$
. Also,
$1_{R_{n,m}}^* =1_{R_{m,n}}$
;
$R_{n,m}$
may be viewed as the graph of the multi-valued function
$\sigma ^{-m}\circ \sigma ^n$
; if
$m=0$
, then
$R_{n,0}$
is the graph of
$\sigma ^n$
; and
$\{R_{n,n}\}_{n\geq 1}$
is a nested family of equivalence relations on X such that
$R_{n,n}\subseteq R_{m,m}$
when
$n\leq m$
.
Each
$R_{n,n}$
is a subgroupoid of
$G(X,\sigma )$
whose
$C^*$
-algebra,
$C^*(R_{n,n},\lambda )$
, is the cross-sectional
$C^*$
-algebra of a matrix bundle over X and so is a
$C^*$
-algebra with continuous trace. The union
$\bigcup _n R_{n,n}:=R_{\infty }$
is also a subgroupoid of
$G(X,\sigma )$
whose
$C^{*}$
-algebra,
$C^*(R_{\infty },\lambda )$
, is the inductive limit,
$\underset {\longrightarrow }\lim \,C^*(R_{n,n}, \lambda )$
. These facts about the equivalence relations
$R_{n,n}$
and their
$C^*$
-algebras are proved and developed further in [Reference Renault30].
The set
$R_{1,0} = Z(X,X,1,0) = \{(x,1,y)\mid y=\sigma (x)\}$
plays a central role in the theory because it is essentially the graph of
$\sigma $
. This observation leads to the straightforward calculation:
where
$\vert \sigma ^{-1}(\sigma (x)) \vert $
is the cardinality of
$\sigma ^{-1}(\sigma (x))$
. Evidently,
$x \to |\sigma ^{-1}(\sigma (x))|$
is an integer-valued function in
$C(X)$
, and so is finitely valued and constant on the connected components of X. Further, it is strictly positive since
$\sigma $
is surjective. Its reciprocal is denoted
$D_0$
. Equation (5-2) shows that S is an isometry with range projection
$1_{R_{1,1}}$
.
Definition 5.2. The function S in
$C_c(G(X,\sigma ))$
defined by
is called the master isometry in
$C_c(G(X,\sigma ))$
and
$D_0$
is called its potential.
To explain where this terminology comes from, we specialize Remark 2.2 and the discussion around it to the case where
$Y=X$
and
$\pi = \sigma $
. This frees us to use
$\pi $
to denote the unital endomorphism of
$C(X)$
given by composition with
$\sigma $
. Since
$\sigma $
is surjective,
$\pi $
is injective. Observe that
$C(X)$
may be viewed as a module over itself in two different ways: the regular module,
$C(X)_{C(X)}$
, in which
$C(X)$
acts on itself via pointwise multiplication—denoted simply by a
—and the
$\pi $
-induced module,
$C(X)_{\pi (C(X))}$
, whose multiplication,
$\ast $
, is defined through composition with
$\pi $
:
$f\ast a:= f\cdot \pi (a)$
,
$f,a\in C(X)$
. We call an algebraic homomorphism from the module
$C(X)_{C(X)}$
to the module
$C(X)_{\pi (C(X))}$
that maps nonnegative functions to nonnegative functions a
$\sigma $
-module map on
$C(X)$
.
The following proposition may well be known to some, but since we do not know a precise reference and since it is an essential part of our analysis, we supply a proof.
Proposition 5.3. Every
$\sigma $
-module map
$\mathcal {L}$
on
$C(X)$
is determined by a unique nonnegative continuous function
$\psi $
on X through the formula
$$ \begin{align} \mathcal{L}(a)(x) = \sum_{\sigma(y)=x}\psi(y)a(y),\quad a\in C(X). \end{align} $$
Proof. Every positive linear map
$\mathcal {L}$
on
$C(X)$
is given by a unique family of measures
$\alpha =\{\alpha _x\}_{x\in X}$
via the formula
$\mathcal {L}(a)(x)=\int a(y)\, d\alpha _x(y)$
. If
$\mathcal {L}$
is a module map, then
$\operatorname {supp} \alpha _x\subseteq \sigma ^{-1}(x)$
. Indeed, assume to the contrary that there are
$x,z\in X$
such that
$z\in \operatorname {supp} \alpha _x$
and
$\sigma (z)\ne x$
. We can then find an open set
$U_z$
such that
$\sigma |_{U_z}$
is a homeomorphism onto
$\sigma (U_z)$
and
$x\notin \sigma (U_z)$
. Let
$a\in C(X)$
be such that
$a(\sigma (z))=1$
and
$a(y)=0$
if
$y\notin \sigma (U_z)$
. It follows that
$\mathcal {L}(\pi (a))(x)=\mathcal {L}(a\circ \sigma )(x)>0$
since
$z\in \operatorname {supp} \alpha _x$
. However,
This is a contradiction. Hence,
$\operatorname {supp} \alpha _x\subseteq \sigma ^{-1}(x)$
for all
$x\in X$
. Observe next that since X is compact,
$\sigma ^{-1}(x)$
is a finite set for each
$x\in X$
. Consequently, there is a nonnegative function
$\Delta $
on
$X\times X$
such that
$$ \begin{align} \mathcal{L}(f)(x)=\int_X f(y)\,d\alpha_x(y)=\sum_{\sigma(y)=x}f(y)\Delta(x,y). \end{align} $$
To prove that
$\Delta $
is continuous, let U be an open subset of X on which
$\sigma $
is a homeomorphism and let V be an open subset of U such that
$\overline {V}\subsetneq U$
. Let
$f\in C(X)$
such that
$f\equiv 1$
on
$\overline {V}$
and
$f\equiv 0$
on the complement of U. Then,
$\mathcal {L}(f)\in C(X)$
and (5-4) yields
Therefore,
$\Delta $
is continuous on open sets of the form
$\sigma (V)\times V$
. Since the cograph of
$\sigma $
is covered by such sets,
$\Delta $
is supported and continuous on the cograph of
$\sigma $
. Therefore, the function
$\psi $
defined via the equation
$\psi (y):=\Delta (\sigma (y),y)$
is continuous and nonnegative. Moreover, (5-4) implies that
$$ \begin{align*} \mathcal{L}(f)(x)=\sum_{\sigma(y)=x}f(y)\Delta(x,y)=\sum_{\sigma(y)=x}f(y)\Delta(\sigma(y),y)=\sum_{\sigma(y)=x}\psi(y)f(y). \end{align*} $$
The converse assertion and the uniqueness of
$\psi $
are immediate.
Remarks 5.4.
-
(1) In the statistical mechanics literature (cf. [Reference Baladi5, Reference Ruelle35]), an operator of the form defined in (5-3) is called a transfer operator (associated with the dynamical system defined by
$\sigma $
) and
$\psi $
is referred to as its potential. We adopt that terminology here. However, because of certain conventions in the groupoid theory literature, we have occasions to use capital D as well as
$\psi $
to denote potentials. -
(2) The theory of transfer operators plays a large role in groupoid harmonic analysis thanks to the pioneering work of Ola Bratteli and Palle Jorgensen [Reference Bratteli and Jorgensen6], Ruy Exel [Reference Exel12], Jean Renault [Reference Renault30, Reference Renault31], and many others. Our objective here is simply to observe that from the defining properties of a module map, the theory of transfer operators arrives fully formed, much like Athena from the forehead of Zeus.
-
(3) Analysis of transfer operators is the key to building the adjoining functions of Holkar [Reference Holkar14, Definition 2.1] that parameterize wavelets from our groupoid perspective.
-
(4) Observe that
$\mathcal {L}(1)(x)=\sum _{\sigma (y)=x}\psi (y)=\alpha _x(X)$
. So,
$\{\alpha _x\}_{x\in X}$
is a proper system of measures on X in the sense of Definition 2.1 if and only if
$\mathcal {L}(1)$
is a strictly positive function, in which case, we say
$\mathcal {L}$
is proper. All transfer operators considered in this paper are assumed to be proper.
Proposition 5.5. Let
$\mathcal {L}_{\psi }$
be the transfer operator with potential
$\psi $
associated to the local homeomorphism
$\sigma $
and the endomorphism
$\pi $
of
$C(X)$
it determines. Then, the following assertions are equivalent.
-
(1)
$\mathcal {L}_{\psi }(1)=1$
, that is,
$\mathcal {L}_{\psi }$
is a unital map. -
(2)
$\mathcal {L}_{\psi }$
is a left inverse for
$\pi $
. -
(3)
$\pi \circ \mathcal {L}_{\psi }$
is a conditional expectation onto the range of
$\pi $
, that is,
$\pi \circ \mathcal {L}_{\psi }$
acts like the identity on
$\pi (C(X))$
.
If
$\mathcal {L}_{\psi }$
satisfies any of these three equivalent conditions, we call
$\psi $
a normalized potential.
Proof. If
$\mathcal {L}_{\psi }(1)=1$
, then for all
$f\in C(X)$
,
$$ \begin{align*} (\mathcal{L}_{\psi}\circ \pi)(f)(x)= & \sum_{\sigma(y)=x} \psi(y)\pi(f)(y) = \sum_{\sigma(y)=x}\psi(y)f(\sigma(y))\\ = & \sum_{\sigma(y) = x}\psi(y)f(x) = f(x)\bigg(\sum_{\sigma(y)=x}\psi(y)\bigg) = f(x), \end{align*} $$
so
$\mathcal {L}_{\psi }$
is a left inverse of
$\pi $
. Write
$\iota $
for the identity map on
$C(X)$
. Then, the assertion that
$\mathcal {L}_{\psi }$
is a left inverse of
$\pi $
is equivalent to the equation
$\mathcal {L}_{\psi }\circ \pi = \iota $
. In this event,
$(\pi \circ \mathcal {L}_{\psi })\circ (\pi \circ \mathcal {L}_{\psi }) = \pi \circ (\mathcal {L}_{\psi }\circ \pi )\circ \mathcal {L}_{\psi } = \pi \circ \iota \circ \mathcal {L}_{\psi }= \pi \circ \mathcal {L}_{\psi }$
. So,
$\pi \circ \mathcal {L}_\psi $
is a positive idempotent map on
$C(X)$
such that
$(\pi \circ \mathcal {L}_\psi )\circ \pi =\pi \circ (\mathcal {L}_\psi \circ \pi )=\pi $
. Thus,
$\pi \circ \mathcal {L}_{\psi }$
is an idempotent map that acts like the identity on the range of
$\pi $
, that is,
$\pi \circ \mathcal {L}_{\psi }$
is a conditional expectation onto the range of
$\pi $
. Finally, if
$\pi \circ \mathcal {L}_\psi $
is a conditional expectation onto the range of
$\pi $
,
$(\pi \circ \mathcal {L}_{\psi }) \circ \pi = \pi $
. However, then,
$\pi \circ (\mathcal {L}_{\psi }\circ \pi )=\pi $
. Since
$\pi $
is injective,
$\mathcal {L}_{\psi }\circ \pi = \iota $
, that is,
$\mathcal {L}_{\psi }$
is a left inverse of
$\pi $
. However, this manifestly implies
$\mathcal {L}_{\psi }(1)=1.$
Definition 5.6. A potential is called full in the case where it is nonvanishing.
The following proposition is part of Jean Renault’s [Reference Renault30, Proposition 3.1].
Proposition 5.7. Every full normalized potential D satisfies an equation of the form
where b is a nonvanishing function in
$\pi (C(X))$
and
$D_0$
is the potential of the master isometry from Definition 5.2.
Remark 5.8. For our purposes, every (proper) potential may be taken to be normalized. For if
$\psi $
is a potential and if
then D is a normalized potential that vanishes precisely at the same points as
$\psi $
. Full normalized potentials may always be taken to be
$D_0$
. Sections 10 and 11 are devoted to constructing nonfull normalized potentials from full nonnormalized potentials. This is how we build scaling functions and associated mother wavelets, that is, quadrature mirror filters.
We want to draw attention, also, to some additional relations that hold between
$\pi $
and one of its left inverses
$\mathcal {L}$
.
-
(1) First, recall that by Proposition 5.5,
$\pi \circ \mathcal {L}$
is a conditional expectation of
$C(X)$
onto the range of
$\pi $
and every conditional expectation of
$C(X)$
onto the range of
$\pi $
is of this form for a suitable
$\mathcal {L}$
. So,
$\pi ^n\circ \mathcal {L}^n:= \boldsymbol {E}_n$
is a conditional expectation onto the range of
$\pi ^n$
for every nonnegative integer n. -
(2) Further still, we have the relations
That is, the sequence
$$ \begin{align*} \boldsymbol{E}_n\boldsymbol{E}_m = \boldsymbol{E}_m\boldsymbol{E}_n = \boldsymbol{E}_n,\quad m\leq n. \end{align*} $$
$\{\boldsymbol {E}_n\}_{n=0}^{\infty }$
is a decreasing sequence of projections on the
$C^*$
-algebra
$C(X)$
, sometimes called a reverse martingale. We want to understand their relationship with the representation theory of
$C_c(G(X,\sigma ),\lambda )$
that we develop later in this paper.
-
(3) Observe that computations like those in (5-3) show every normalized potential, full or not, leads to an isometry in the convolution algebra of
$G(X,\sigma )$
. In fact, one may do a bit better. If
$\mathfrak {u}$
is a continuous function on X such that
$|\mathfrak {u}|^2$
is a normalized potential D, and if (5-5)then (5-3) shows that
$$ \begin{align} S_{\mathfrak{u}}(x,k-l,y):= \mathfrak{u}(x)1_{R_{1,0}}(x,k-l,y), \end{align} $$
$S_{\mathfrak {u}}$
satisfies for
$$ \begin{align*} f = S_{\mathfrak{u}}^* \ast (f\circ \sigma)\ast S_{\mathfrak{u}}= S_{\mathfrak{u}}^* \ast \pi(f) \ast S_{\mathfrak{u}} = \mathcal{L}_D\circ \pi (f) \end{align*} $$
$f\in C(X), |\mathfrak {u}|^2=D$
. Additionally, in general,
$\mathcal {L}^n_D(f) = (S^*_{\mathfrak {u}})^n\ast f \ast (S_{\mathfrak {u}})^n$
.
-
(4) Finally, we have the easily proved fact that if the
$\mathcal {L}$
leaves a probability measure
$\mu $
invariant, the conditional expectations
$\boldsymbol {E}_n$
satisfy the equations (5-6)
$$ \begin{align} \int_X \boldsymbol{E}_n(f)g\,d\mu=\int_X f\boldsymbol{E}_n(g)\,d\mu, \quad f,g\in C(X). \end{align} $$
It is convenient to regard the isometry
$S_{\mathfrak {u}}$
as an element of
$\mathcal {L}(\mathcal {X}_0)$
, where
$\mathcal {X}_0$
is the
$C^*$
-correspondence defined by the equivalence
$(G,\alpha )$
between
$(G,\lambda )$
and
$(G,\lambda )$
as described in the paragraph preceding Section 3. There, the operator
$S_{\mathfrak {u}}\in \mathcal {L}(\mathcal {X}_0)$
is defined via
It may seem that we have introduced confusion by using ‘
$S_{\mathfrak {u}}$
’ to denote both an isometry in
$C^*(G,\lambda )$
and the isometry from (5-7) on
$\mathcal {L}(\mathcal {X}_0)$
. However, this ambiguity should cause no significant problem. The two isometries are the same, up to a unitary equivalence between the two Hilbert modules involved.
6 Pullbacks by projective limits
In nearly every operator-theoretic approach to wavelets that we have encountered, there are isometries like our
$S_{\mathfrak {u}}$
and efforts are made to understand unitary extensions of them. We want to do that here as well. However, we also want to emphasize that the extensions we produce do not live in
$C^*(G(X,\sigma ))$
, but in larger
$C^*$
-algebras that we reveal as certain pullbacks. Their description requires several ingredients.
The first ingredient is a pullback of
$G(X,\sigma )$
in the sense of Proposition 3.1 that is determined by a pair consisting of a space
$X_{\infty }$
and map
$p:X_{\infty }\to X$
. The space
$X_{\infty }$
is the projective limit space induced by
$\sigma $
:
Here, of course,
$X^{\infty }$
is the infinite product of copies of X indexed by
$\mathbb {N}$
. Since X is compact, and
$\sigma $
is continuous and surjective,
$X_{\infty }$
is a nonempty closed, and therefore compact, subset of
$X^{\infty }$
. We write its elements as
$\underline {x}:=(x_0,x_1,\ldots )$
. The map p is simply the projection onto the first coordinate:
$p(\underline {x}):=x_0$
. Since
$\sigma $
is open, p is also open, as well as continuous, and it is surjective because
$\sigma $
is surjective.
So, using the notation from Proposition 3.1, we write the pullback of
$G(X,\sigma )$
by
$X_{\infty }$
as
$X_{\infty }\ast G(X,\sigma )\ast X_{\infty }$
. To shorten the notation, we usually write
$G_{\infty }(X,\sigma )$
for this groupoid. We also use some self-evident variations of this notation.
The main purpose of
$X_{\infty }$
is to carry an invertible ‘extension’ of
$\sigma $
. Define
$\sigma _{\infty }$
on
$X_{\infty }$
by the formula
The inverse of
$\sigma _{\infty }$
is given by the equation
The map
$\sigma _{\infty }$
is not really an extension of
$\sigma $
, but it does satisfy the important ‘intertwining’ equation
By Proposition 3.1,
$G_{\infty }(X,\sigma )$
is a locally compact Hausdorff groupoid with unit space
$X_{\infty }$
. The range and source maps are the obvious projections that are, however, not local homeomorphisms. Consequently,
$G_{\infty }(X,\sigma )$
is not étale. So, we must find Haar systems that are not given by counting measures. These are built from potentials for transfer operators associated to
$\sigma $
(see Remark 5.4).
Using a normalized potential D on X, one can construct a system of probability measures on
$G_{\infty }(X,\sigma )$
, indexed by
$X_{\infty }$
, that is denoted
$\nu ^D*\lambda := \{(\nu ^D*\lambda )^{\underline {x}}\}_{\underline {x}\in X_{\infty }}$
. The symbol
$\nu ^D$
by itself refers to a system of measures
$\{\nu ^D_{x_0}\}_{x_0\in X}$
on
$X_{\infty }$
that is parameterized by X and is defined as follows.
Recall that the product topology on
$X^{\infty }$
is such that the collection of complex-valued functions of the form
$f=f_0\cdot f_1\cdot f_2 \cdots f_n$
, where the
$f_i$
lie in
$C(X)$
and
generate
$C(X^{\infty })$
. Consequently, their restrictions to
$X_{\infty }$
generate
$C(X_{\infty })$
. Recall, too, that Kolmogorov’s extension theorem [Reference Rosenblatt34, Appendix A.3] guarantees that the formula
$$ \begin{align} & \int_{X_\infty} f_{0}(x_{0})\cdot f_{1}(x_{1})\cdots f_{n}(x_{n})\,d\nu^D_{x_{0}}(\underline{x}) \nonumber\\ & \quad := f_{0}(x_{0})\bigg(\!\sum_{\sigma(x_{1})= x_{0}}D(x_{1})f_{1}(x_{1}) \bigg(\!\sum_{\sigma(x_{2})=x_1} D(x_{2})f_{2}(x_{2}) \cdots \bigg(\!\sum_{\sigma(x_{n})=x_{n-1}}D(x_{n})f_{n}(x_{n})\bigg)\cdots\bigg)\bigg), \end{align} $$
which is valid for all
$f=f_{0}f_{1}\cdots f_{n}$
with
$f_{i}\in C(X)$
, yields a well-defined probability measure supported on
$p^{-1}({x_{0}})$
that we have denoted
$\nu ^D_{{x_{0}}}$
.
Equation (6-1) becomes more manageable when one uses the transfer operator
$\mathcal {L}_D$
to abbreviate the sums. The result is
$$ \begin{align} &\int_{X_\infty} f_{0}(x_{0})\cdot f_{1}(x_{1})\cdots f_{n}(x_{n})\,d\nu^D_{x_{0}}(\underline{x}) \nonumber\\ & \quad :=(f_{0}\mathcal{L}_D(f_1\mathcal{L}_D(f_2 \cdots \mathcal{L}_D(f_{n-1}\mathcal{L}_D(f_n))\cdots )))(x_0), \end{align} $$
which not only makes it clear that
$\nu ^D_{x_0}$
is a probability measure on
$X_{\infty }$
, it shows also that the family
$\{\nu ^D_{x_0}\}_{x_0\in X}$
may be viewed as an element of
$C(X,\mathfrak {M}_1(X_{\infty }))$
, where
$\mathfrak {M}_1(X_{\infty })$
is the space of all probability measures on
$X_{\infty }$
with the weak-
$\ast $
topology. Thus,
$\{\nu ^D_{x_0}\}_{x_0\in X}$
is a continuous family of probability measures on
$X_{\infty }$
indexed by X. Because the family
$\nu ^D = \{\nu ^D_{x_0}\}_{x_0\in X}$
is a system of measures on
$X_{\infty }$
that is fibered over X by p (that is, each
$\nu ^D_{x_0}$
is supported on
$p^{-1}(x_0), x_0\in X$
), we refer to
$\nu ^D$
as the p-system of measures on
$X_{\infty }$
determined by D.
Finally, letting
$\lambda := \{\lambda ^x\}_{x\in X}$
denote the counting measure Haar system on
$G(X,\sigma )$
(paragraphs following Definition 5.1), the formula
$$ \begin{align} & \int_{G_{\infty}(X,\sigma)}f(\underline{x},(p(\underline{x}),t, p(\underline{y})),\underline{y})\, d(\nu^D\ast \lambda)^{\underline{x}}\nonumber\\ & \quad := \int_{G(X,\sigma)}\int_{X_{\infty}}f(\underline{x},(p(\underline{x}),t,p(\underline{y})), \underline{y})\, d\nu^D_{p(\underline{y})}(\underline{y})\, d\lambda^{p(\underline{x})}(p(\underline{x}),t,p(\underline{y})), \end{align} $$
where
$f\in C_c(G_{\infty }(X,\sigma ))$
, defines the system of measures
$\nu ^D*\lambda : = \{(\nu ^D*\lambda )^{\underline {x}}\}_{\underline {x}\in X_{\infty }}$
on
$G_\infty (X,\sigma )$
. Close inspection reveals that (6-3) is a special case of (3-1), that is,
$\nu ^D\ast \lambda = \beta $
specialized to
$G_{\infty }(X,\sigma )$
. Thus,
$\nu ^D\ast \lambda $
is a Haar system on
$G_{\infty }(X,\sigma )$
if
$\nu ^D$
is full. The following proposition describes when this happens.
Proposition 6.1.
$\nu ^D$
is full if and only if D is nonvanishing, that is, if and only if D is a full potential.
Proof. Observe that (6-2) implies that
$\nu ^D_{x_0}((U_0\times U_1\times X\times \cdots )\cap p^{-1}(x_0))= 1_{U_0}(x_0)\times \mathcal {L}_D(U_1\cap p^{-1}(x_0))$
. So, if
$(U_0\times U_1)\times X \times \cdots )\cap p^{-1}(x_0)$
is nonempty, then
$x_0\in U_0$
and there must exist a
$y\in \sigma ^{-1}(x_0)\cap U_1$
. It follows that
$\nu ^D_{x_0}(U_0\times U_1 \times X\cdots )\cap p^{-1}(x_0)\geq D(y)> 0$
. Thus,
$\nu ^D_{x_0}$
gives positive measure to each open set that meets
$p^{-1}(x_0)$
, which means that
$\nu ^D$
is full. For the converse, suppose
$D(y)=0$
for some
$y\in \sigma ^{-1}(x_0)$
. Then, there is an open
$U_1$
such that
$y\in U_1$
and
$\sigma $
restricted to
$U_1$
is a homeomorphism onto an open set
$U_0$
. Then,
$\nu _{x_0}^D(U_0\times U_1\times X\times X \cdots )=D(y)=0$
.
From now on, we usually drop the subscript,
$0$
, on
$\nu ^D_{x_0}$
.
7 p-systems of measures and conditional expectations
We begin with a continuation of the paragraph following Definition 5.2.
First, note that the defining formula for
$\nu ^D$
reveals it to be a map from
$C(X_{\infty })$
to
$C(X)$
that is linear, positive, and unital:
$$ \begin{align} \nu^D(f)(x): = \int_{X_{\infty}}f(\underline{y})\, d\nu_x^D(\underline{y}),\quad f\in C(X_{\infty}). \end{align} $$
Most important for our purposes, (7-1) makes it clear that
$\nu ^D$
is a left inverse of the map
$p_*:C(X)\to C(X_{\infty })$
that is dual to p:
Indeed,
$$ \begin{align} [(\nu^D\circ p_*)(f)](x) & = [\nu^D(p_*(f))](x) = \int_{X_\infty}p_*(f)(\underline{y})\,d\nu^D_{x}(\underline{y})\nonumber\\ & = \int_{X_{\infty}}f(p(\underline{y}))\, d\nu^D_{x}(\underline{y}) = \int_{X_{\infty}} f(x) \, d\nu^D_x(\underline{y}) = f(x). \end{align} $$
The penultimate equation reflects the fact that each
$\nu _x^D$
is a probability measure on
$X_{\infty }$
supported on
$p^{-1}(x)$
. Consequently, also, (7-2) shows that
$\nu ^D$
is a surjective map from
$C(X_{\infty })$
onto
$C(X)$
.
In analogy with the notation following Remark 5.8, we find that
$p_*\circ \nu ^D$
is a conditional expectation,
$\mathcal {E}_0$
, on
$C(X_{\infty })$
, whose definition expressed in terms of integrals is
$$ \begin{align} \mathcal{E}_0(f)(\underline{x}) & = [(p_*\circ \nu^D)(f)](\underline{x}) = [p_*(\nu^D(f))](\underline{x})\nonumber\\ & = (\nu^D(f))(p(\underline{x})) = \int_{X_{\infty}} f(\underline{y})\, d\nu^D_{p(\underline{x})}(\underline{y}), \quad f\in C(X_{\infty}). \end{align} $$
This equation shows that
$\mathcal {E}_0$
is a unital, positive map from
$C(X_{\infty })$
to
$C(X_{\infty })$
, while the fact that
$\mathcal {E}_0$
is idempotent is immediate from (7-2).
Finally, the fact that the range of
$\mathcal {E}_0$
consists of all functions in
$C(X_{\infty })$
that depend only on the first variable is clear from (7-3). Evidently, such functions form an algebra isomorphic to
$C(X)$
, and
$\mathcal {E}_0$
is a bimodular map over it. Consequently, we informally, but unambiguously, write
$\mathcal {E}_0(a\cdot f \cdot b)=a\cdot \mathcal {E}_0(f)\cdot b$
for all
$f\in C(X_{\infty })$
and
$a,b\in C(X)$
.
The following equation arises later in our analysis (see (9-2)). We believe it is helpful to parse it now. For
$f\in C(X_\infty )$
,
$$ \begin{align} \sum_{\sigma(z)=x}D(z)\int_{X_\infty}f(\sigma_\infty(\underline{z}))\,d\nu_{z}^D(\underline{z})=\int_{X_\infty}f(\underline{x})\,d\nu_{x}^D(\underline{x}) \end{align} $$
for all
$x\in X$
. This equation may be easier to understand if it is rewritten in terms of the maps that are implicit in it. First, let
$\pi _{\infty }$
be defined by the formula
Thus,
$\pi _{\infty }$
is an analog of the endomorphism
$\pi $
of
$C(X)$
defined in Proposition 5.7. This time, however,
$\pi _{\infty }$
is an automorphism of
$C(X_{\infty })$
, and its inverse is given by composing with
$\sigma _{\infty }^{-1}$
, that is,
$\pi _{\infty }^{-1}(f)= f\circ \sigma _{\infty }^{-1}$
for all
$f\in C(X_{\infty })$
. So, now we can parse (7-4) in terms of maps:
or a bit more symmetrically, we may write
Keep in mind that both sides of each of these equations are maps from
$C(X_{\infty })$
to
$C(X)$
.
For our purposes here, the most important role of the p-system of measures
$\nu ^D$
is revealed in Equation (7-10), below, that is based on the following lemma.
Lemma 7.1. The map
$\Phi :G_{\infty }(X,\sigma ) \to G(X,\sigma )$
defined by the equation
is a continuous, open, proper and surjective groupoid homomorphism mapping the pullback groupoid
$G_{\infty }(X,\sigma )$
onto
$G(X,\sigma )$
.
Proof. Since p is continuous and open, it is clear that
$\Phi $
is also. Furthermore, it is clear that
$\Phi $
is a surjective groupoid homomorphism mapping
$G_{\infty }(X,\sigma )$
onto
$G(X,\sigma )$
. Since
$G_{\infty }(X,\sigma )$
and
$G(X,\sigma )$
are locally compact and Hausdorff, to show that
$\Phi $
is proper, it suffices to show that for each compact subset
$K\subset G(X,\sigma )$
,
$\Phi ^{-1}(K)$
is compact in
$G_{\infty }(X,\sigma )$
. For this purpose, simply note that since each of the sets
$R_{n,m}$
from (5-1) is compact and open in
$G(X,\sigma )$
, and since
$G(X,\sigma )$
is covered by the family of them, any compact subset of
$G(X,\sigma )$
is covered by a finite number of them. However, also note that
$\Phi ^{-1}(R_{n,m})$
is clearly compact in
$G_{\infty }(X,\sigma )$
. It follows that
$\Phi $
is proper.
As a consequence of this lemma,
$\Phi _*$
, defined by the equation
is a linear map from
$C_c(G,\sigma )$
into
$C_c(G_{\infty },\sigma )$
that is continuous with respect to the inductive limit topologies on each space. It is also clear from (6-3) that for all
$f\in C_c(G(X,\sigma ))$
,
$$ \begin{align} \int_{G_{\infty}(X,\sigma)}\Phi_*(f)(\underline{x},t, \underline{y})\, d(\nu^D\ast \lambda)^{\underline{x}}:= \int_{G(X,\sigma)}f(x_0,t,y_0)\, d\lambda^{x_0}(x_0,t,y_0). \end{align} $$
A succinct way to express (7-8) is to write everything in terms of the maps determined by the systems of measures involved:
where
$\lambda :=\{\lambda ^x\}_{x\in X}$
is viewed as a map from
$C_c(G(X,\sigma ))$
to
$C(X)$
,
$p_*:C(X)\to C(X_{\infty })$
is the map dual to p,
$\nu ^D * \lambda $
is the map determined by the system
$\{\nu ^D_{p(\underline {x})}*\lambda ^{p(\underline {x})}\}_{\underline {x}\in X_{\infty }}$
, and
$\Phi _*$
is the map dual to
$\Phi $
acting on functions.
The image of
$\Phi _*$
thus consists of those functions in
$C_c(G_{\infty }(X,\sigma ),\nu ^D*\lambda )$
that depend only on the zeroth-coordinate. The equations in the paragraphs following the proof of Lemma 7.1, in particular, (7-9), make it clear that
$\Phi _*$
defines an algebra isomorphism from
$C_c(G(X,\sigma ),\lambda )$
onto its image in
$C_c(G_{\infty }(X,\sigma ),\nu ^D\ast \lambda )$
that is a homeomorphism in the inductive limit topologies involved.
Recall that
$1_{R_{0,0}}$
is the identity of
$C_c(G(X,\sigma ),\lambda )$
(see the paragraphs following (5-1)). Consequently,
$\Phi _{*}(1_{R_{0,0}})$
is a projection in
$C_c(G_{\infty }(X,\sigma ),\nu ^D\ast \lambda )$
. However, a projection in a
$\ast $
-algebra determines a projection on the algebra via ‘cornering’. So, in our setting,
$f\to \Phi _{*}(1_{R_{0,0}})\ast f \ast \Phi _{*}(1_{R_{0,0}}) $
defines an idempotent, positivity-preserving, linear map, which we denote by
$\mathbb {E}$
, whose range is the image of
$\Phi _*$
. In fact, it is a straightforward calculation to see that
$$ \begin{align} \mathbb{E}(f)(\underline{x},k-l,\underline{y}):= \ & \Phi_{*}(1_{R_{0,0}})\ast f \ast \Phi_{*}(1_{R_{0,0}})(\underline{x},k-l,\underline{y})\nonumber\\ = & \int_{X_{\infty}} \int_{X_{\infty}} f(\underline{u},k-l,\underline{v})\,d\nu^D_{p(\underline{x})}(\underline{u})\,d\nu^D_{p(\underline{y})}(\underline{v}) \end{align} $$
for all
$f\in C_c(G_{\infty }(X,\sigma ),\nu ^D\ast \lambda )$
. This equation, in turn, coupled with (7-3), justifies our writing
restricted to
$C_c(G_{\infty }(X,\sigma ))$
, where we are regarding
$G_{\infty }(X,\sigma )$
as a locally closed subset of
$X_{\infty } \times \mathbb {Z} \times X_{\infty }$
and where
$\iota $
denotes the identity map on
$C_c(\mathbb {Z})$
.
It is also easy to see that
$\mathbb {E}$
is bimodular in the sense that
$\mathbb {E}(\Phi _{*}(b_1)\ast f \ast \Phi _{*}(b_2))=\Phi _{*}(b_1)\ast \mathbb {E}(f)\ast \Phi _{*}(b_2)$
for all
$f\in C_c(G_{\infty }(X,\sigma ),\nu ^D\ast \lambda )$
and
$b_i\in C_c(G(X,\sigma ),\lambda )$
,
$i=1,2$
.
Thus,
$\mathbb {E}$
has all the trappings of a conditional expectation, except one:
$\mathbb {E}$
is not unital. That is not important here. The defining equation (7-10) means that
$\mathbb {E}$
is a ‘cornering’ projection and so extends to a completely positive, contractive, and idempotent map on any
$C^*$
-algebra that is generated by an
$\ast $
-representation of
$C_c(G_{\infty }(X,\sigma ),\nu ^D\ast \lambda )$
.
8 Representations of
$G_{\infty }(X,\sigma )$
induced from
$G(X,\sigma )$
We fix a full normalized potential D and we consider the Haar system
$\nu ^D*\lambda $
on
$G_\infty (X,\sigma )$
determined by D. This Haar system on
$G_\infty (X,\sigma )$
is fixed throughout the section. We induce representations of
$C^*(G(X,\sigma ),\lambda )$
to representations of
$C^*(G_\infty (X,\sigma ),\nu ^D*\lambda )$
using nonfull normalized potentials derived from D via the techniques developed in Section 4. Since X and
$\sigma $
are fixed, we write G for
$G(X,\lambda )$
and
$G_{\infty }$
for
$G_{\infty }(X,\sigma )$
when the notation becomes cluttered.
We consider a nonnegative continuous function
$b:X\to \mathbb {R}_+$
such that the function
$D_b(x):=b(x)D(x)$
is another normalized potential for
$\sigma $
, not necessarily full:
$ \sum _{\sigma (y)=x}D_b(y)=1$
for all
$x\in X$
. The potential
$D_b$
defines a p-system of measure
$\nu ^{D_b}$
on
$X_\infty $
via (6-1) or, equivalently, (6-2). Moreover,
$\nu _u^{D_b}$
is absolutely continuous with respect to
$\nu _u^D$
since
$$ \begin{align*} \int_{X_\infty} f_0(x_0)f_1(x_1)\cdots f_n(x_n)\,d\nu_{x_0}^{D_b}(\underline{x}) = \int_{X_\infty} f_0(x_0)f_1(x_1)\cdots f_n(x_n)\prod_{i=1}^n b(x_i)\,d\nu_{x_0}^{D}(\underline{x}) \end{align*} $$
for all
$f=f_0f_1\cdots f_n$
with
$f_i\in C(X)$
and
$n\ge 0$
. We let
$\mathbb {d}$
be the Radon–Nykodim derivative such that
$\nu _u^{D_b}=\mathbb {d} \nu _u^D$
for all
$u\in X$
. In the notation of (4-1), one would write
$\nu _{\mathbb {d}}^{D_b}$
for
$\nu ^{D_b}$
. We prefer the new notation since
$\nu _{\mathbb {d}}^{D_b}$
is hard to read and
$\mathbb {d}$
is determined by b. We define a groupoid correspondence
$(Z,\alpha _b)$
from
$(G_{\infty }(X,\sigma ),\nu ^D*\lambda )$
to
$(G,\lambda )$
using the framework described in the paragraphs preceding Lemma 3.3, where
and
$\alpha _b=\nu ^{D_b}*\lambda $
.
Our goal now is to relate the representation theory of
$G(X,\sigma )$
to the representation theory of
$G_{\infty }(X,\sigma )$
using the potential
$D_b$
. It is fixed for the remainder of this section.
Recall that
$C_c(Z)$
can be completed to a
$C^*$
-correspondence that we denote
$\mathcal {X}_\infty $
from
$C^*(G_{\infty }(X,\sigma ),\nu ^D*\lambda )$
to
$C^*(G(X,\sigma ),\lambda )$
via (4-4), (4-5), and (4-6). In particular,
$C^*(G_{\infty }(X,\sigma ),\nu ^D*\lambda )$
acts as multipliers on
$\mathcal {X}_\infty $
via
$$ \begin{align} & \mathbb{L}(a)\xi(\underline{x},(p(\underline{x}),t,y)):=a\cdot \xi(\underline{x},(p(\underline{x}),t,y))\nonumber\\ & \quad= \int_{G_{\infty}} a(\underline{x}, s, \underline{w})\xi(\underline{w},(p(\underline{w}),t-s,y))\mathbb{d}(\underline{w})^{1/2}/\mathbb{d}(\underline{x})^{1/2}\, d(\nu^D\ast \lambda)^{\underline{x}}(\underline{x},s,\underline{w}). \end{align} $$
Fix a representation
$\hat {L}= (\mu ,X\ast \mathcal {H}, \hat {L})$
of the groupoid G and let
$\mathfrak {L}$
be its integrated form representing
$C^*(G,\lambda )$
on
$L^2(X\ast \mathcal {H},\mu )$
as described in the paragraph containing (2-1). We want to explain how to induce
$\hat {L}$
,
$\mathfrak {L}$
, and all related structures to the pullback groupoid,
$G_{\infty }(X,\sigma )$
. The relevance of the normalized potential,
$D_b$
, is tracked in the process.
The induced Hilbert bundle determined by
$G^{(0)}\ast \mathcal {H} = X\ast \mathcal {H}$
is the bundle
$X_{\infty }\ast \mathcal {H} = G_{\infty }(X,\sigma )^{(0)}\ast \mathcal {H}$
that is the pull back of
$X\ast \mathcal {H}$
by p, i.e., the fiber
$H_{\underline {x}}:= H_{p(\underline {x})}$
. This bundle is the same for all the other induced structures we consider. The isomorphism groupoid of
$X_\infty \ast \mathcal {H}$
,
${\operatorname {Iso}}(X_{\infty }\ast \mathcal {H})$
, is similarly identified:
The representation
$\hat {L}_{\infty }$
of
$G_{\infty }(X,\sigma )$
on
$X_{\infty }\ast \mathcal {H}$
induced by
$\hat {L}$
is given by the formula
where
Its action on
$X_{\infty }\ast \mathcal {H}$
, too, is independent of the potential
$D_b$
.
What depends upon
$D_b$
is the quasi-invariant measure on
$G^{(0)}_{\infty }=X_{\infty }$
. Viewed as a map acting from
$C(G^{(0)}_{\infty })$
to
$\mathbb {C}$
, it is defined by the equation
Note that
$\mu _{\infty }^{D_b}$
is well defined:
$\nu ^{D_b}$
is a map from
$C(G^{(0)}_{\infty })$
to
$C(G^{(0)}(X,\sigma ))=C(X)$
and
$\mu $
is a map from
$C(X)$
to
$\mathbb {C}$
. Recall from (4-2) that the modular function is
We write
$\mathfrak {L}_\infty $
for the integrated form of
$L_\infty$
, which is a
$C^\ast$
-representation of
$C^*(G_\infty (X,\sigma ),\nu ^D*\lambda )$
on the space
$L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
. For
$f\in C_c(G_\infty )$
,
$\mathfrak {L}_{\infty }(f)$
acts on
$L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
via
$$ \begin{align} &\mathfrak{L}_\infty(f)\mathfrak{f}(\underline{x})\nonumber\\ & \quad= \int_{G_{\infty}}f(\underline{x},k-l,\underline{y})L_{(p(\underline{x}),k-l,p(\underline{y}))}\mathfrak{f}(\underline{y})\Delta_\infty(\underline{x},k-l,\underline{y})^{-1/2}\,d(\nu^D*\lambda)^{\underline{x}}(\underline{x},k-l,\underline{y}) \end{align} $$
for all
$\mathfrak {f}\in L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty )$
.
9 Proto-multiresolution analyses and their representations
In this section, we return to the elements of Rieffel’s theory that are developed preceding Theorem 4.1. We continue with the same notation and we let
$\mathfrak {u}\in C(X)$
be a function such that
$|\mathfrak {u}|^2=D_b$
. Our first goal is to define a unitary operator
$U_{\mathfrak {u}}$
on
$\mathcal {X}_{\infty }$
that conjugates the image of
$C^*(G_\infty (X,\sigma ),\nu ^D\ast \lambda )$
in
$\mathcal {L}(\mathcal {X}_{\infty })$
into itself and is a unitary extension of the isometry
$S_{\mathfrak {u}}$
defined in (5-7). This unitary is used to generate what we call a proto-multiresolution analysis. In a sense we make clear, constructing a proto-multiresolution analysis constitutes the first step when building an MRA. Proto-multiresolution analyses put into evidence precisely the variables that can be ‘tuned’ to produce MRAs.
Again, we abbreviate
$G(X,\sigma )$
to G and
$G_{\infty }(X,\sigma )$
to
$G_{\infty }$
.
The putative unitary extension of
$S_{\mathfrak {u}}$
,
$U_{\mathfrak {u}}$
, is defined initially on
$C_c(X_\infty *G)$
via
for all
and
$(\underline {x},(p(\underline {x}),n,y)))\in X_\infty *G$
.
Before proving that
$U_{\mathfrak {u}}$
is a unitary extension of
$S_{\mathfrak {u}}$
, we first show that
$U_{\mathfrak {u}}$
is an isometry and compute its adjoint. Let
$\xi \in C_c(X_\infty *G)$
and compute, using (4-5), (7-4), and its compact form (7-5):
$$ \begin{align} \langle U_{\mathfrak{u}}& \xi, U_{\mathfrak{u}}\xi\rangle_{C_c(G)}(x,n,y)\nonumber\\ & := \int_G \int_{X_\infty}\overline{U_{\mathfrak{u}} \xi(\underline{z},(p(\underline{z}),m,x))}U_{\mathfrak{u}}\xi(\underline{z},(p(\underline{z}),m+n,y))\,d\nu^{D_b}_z(\underline{z})\,d\lambda_x(z,m,x) \nonumber\\ & =\int_G \int_{X_\infty}\overline{\mathfrak{u}(z)}\overline{\xi(\sigma_\infty(\underline{z}),(p(\sigma_\infty(\underline{z})),m-1,x))} \nonumber\\ & \quad \cdots\mathfrak{u}(z)\xi(\sigma_\infty(\underline{z}),(p(\sigma_\infty(\underline{z})),m+n-1,y))\,d\nu^{D_b}_z(\underline{z})\,d\lambda_x(z,m,x) \nonumber\\ & = \int_G \sum_{\sigma(z)=t}D_b(z)\int_{X_\infty} \overline{\xi(\sigma_\infty(\underline{z}),(p(\sigma_\infty(\underline{z})),m-1,x))}\nonumber\\ & \quad \cdots\xi(\sigma_\infty(\underline{z}),(p(\sigma_\infty(\underline{z})),m+n-1,y))\,d\nu^{D_b}_z(\underline{z})\,d\lambda_x(t,m-1,x) \nonumber\\ & = \int_G \mathcal{L}_{D_b}\circ \nu_t^{D_b}\circ \pi_\infty(\overline{\xi(\cdot,(\cdot,m-1,x))}\xi(\cdot,(\cdot,m+n-1,y)))\,d\lambda_x(t,m-1,x) \nonumber\\ & =\int_G \nu_t^{D_b}(\overline{\xi(\cdot,(\cdot,m-1,x))}\xi(\cdot,(\cdot,m+n-1,y)))\,d\lambda_x(t,m-1,x) \nonumber\\ & =\int_G\int_{X_\infty} \overline{\xi(\underline{t},(p(\underline{t}),m,x))} \xi(\underline{t},(p(\underline{t}),m+n,y))\,d\nu^{D_b}_z(\underline{t})\,d\lambda_x(t,m,x) \nonumber\\ & =\langle \xi,\xi\rangle_{C_c(G)}(x,n,y), \end{align} $$
where the penultimate equality follows by relabeling the integers, that is, by the invariance of the Haar system
$\lambda $
.
To complete the proof that
$U_{\mathfrak {u}}$
is a unitary, we must examine first how the zero set of
$D_b$
,
$Z_{D_b}$
, affects the calculation of the
$C_c(G(X,\sigma ))$
-norm of elements in
$C_c(X_\infty *G)$
. Let
$z_1\in Z_{D_b}$
and let
$z_0:=\sigma (z_1)$
. Consider an open neighborhood A of
$z_1$
such that
$\sigma |_A:A\to \sigma (A)$
is a homeomorphism onto the open set
$\sigma (A)$
. Let
$f\in C(X_\infty )$
be supported in
$\sigma (A)*A*X_\infty $
. Then,
Assume that
$\xi \in C_c(X_\infty *G)$
is of the form
$\xi (\underline {x},(p(\underline {x}),n,y))=f_1(\underline {x})f_2(p(\underline {x}),n,y)$
such that
$f_1$
is supported in
$\sigma (A)*A*X_\infty $
. Let
If
$\tilde {f}_1=f_1 1_{Z_{2,D}^c}$
and
$\tilde {\xi }:=\tilde {f}_1f_2$
, then
$\langle \xi -\tilde {\xi },\xi -\tilde {\xi }\rangle _{C_c(G)}=0$
. That is, in the inner product, an element
$\xi \in C_c(X_\infty *G)$
depends only on the values outside the set
$Z_{2,D}$
. Hence, the operator
$U_{\mathfrak {u}}^*$
defined on
$C_c(X_\infty *G)$
via
$$ \begin{align*} U_{\mathfrak{u}}^*\xi(\underline{x},(p(\underline{x}),n,y))=\frac{1}{\mathfrak{u}(p(\sigma_\infty^{-1}(\underline{x})))}\xi(\sigma_\infty^{-1}(\underline{x}),(p(\sigma_\infty^{-1}(\underline{x})),n+1,y)) \end{align*} $$
for all
$(\underline {x},(p(\underline {x}),n,y))\in X_\infty *G$
such that
$\mathfrak {u}(x_1)\ne 0$
is well defined in the
$C_c(G)$
-inner product (4-5) since
$p(\sigma _\infty ^{-1}(\underline {x}))=x_1$
. One can check that
$U_{\mathfrak {u}}^*$
is an isometry using version (7-6) of (7-4). We leave the details to the reader. The fact that
$U_{\mathfrak {u}}^*$
is the inverse of
$U_{\mathfrak {u}}$
is a straightforward computation.
Recall that
$\mathcal {X}_0$
is the
$C^*$
-correspondence defined by the
$(G,\lambda )-(G,\lambda )$
equivalence
$(G,\alpha )$
, where
$\alpha _x=\lambda _x$
, as described in the paragraph following (5-6). The isometry
$S_{\mathfrak {u}}\in \mathcal {K}(\mathcal {X}_0)$
is defined via (5-7). To prove that
$U_{\mathfrak {u}}$
is a unitary extension of
$S_{\mathfrak {u}}$
, we define
$V_{\infty ,0}:\mathcal {X}_0\to \mathcal {X}_\infty $
via
Proposition 9.1. The map
$V_{\infty ,0}$
extends to an adjointable isometry that intertwines
$U_{\mathfrak {u}}$
and
$S_{\mathfrak {u}}$
,
$U_{\mathfrak {u}} V_{\infty ,0}=V_{\infty ,0}S_{\mathfrak {u}}$
, such that
$$ \begin{align*} V_{\infty,0}^*\eta(x,t,y)=\int_{X_\infty}\eta(\underline{x},(x,t,y))\,d\nu_x^{D_b}(\underline{x}) \end{align*} $$
for all
$\eta \in C_c(X_\infty *G)$
. Moreover,
$V_{\infty ,0}(\xi \cdot a)=V_{\infty ,0}\xi \cdot a$
for all
$\xi \in \mathcal {X}_0$
and
$a\in C^*(G)$
.
Proof. The fact that
$V_{\infty ,0}$
is an isometry follows from the following computation that uses the fact that
$D_b$
is unital and, thus,
$\nu _x^{D_b}(1)=1$
for all
$x\in X$
:
$$ \begin{align*} \langle V_{\infty,0}\xi,V_{\infty,0}\eta\rangle_{C_c(G)}(x,t,y)& =\sum_{(z,s,x)\in G}\int_{X_\infty} \overline{V_{\infty,0}\xi(\underline{z},(z,s,x))}V_{\infty,0}\eta(\underline{z},(z,s+t,y))\,d\nu_z^{D_b}(\underline{z})\\ & =\sum_{(z,s,x)\in G}\int_{X_\infty}\overline{\xi(z,s,x)}\eta(z,s+t,y)\,d\nu_z^{D_b}(\underline{z})\\ & =\sum_{(z,s,x)\in G}\overline{\xi(z,s,x)}\eta(z,s+t,y) =\langle \xi,\eta\rangle_{C_c(G)}(x,t,y). \end{align*} $$
The fact that
$V_{\infty ,0}$
intertwines
$S_{\mathfrak {u}}$
and
$U_{\mathfrak {u}}$
is also an easy verification:
$$ \begin{align*} U_{\mathfrak{u}} V_{\infty,0}\xi (\underline{x},(p(\underline{x}),t,y)) & = \mathfrak{u}(p(\underline{x}))V_{\infty,0}\xi(\sigma_\infty(\underline{x}),(p(\sigma_\infty(\underline{x})),t-1,y))\\ & =\mathfrak{u}(p(\underline{x}))\xi(\sigma(p(\underline{x})),t-1,y)=V_{\infty,0}S_{\mathfrak{u}}(\underline{x},(p(\underline{x}),t,y)). \end{align*} $$
The last statement of the proposition follows from the following computation:
$$ \begin{align*} & \langle V_{\infty,0}\xi,\eta\rangle_{C_c(G)}(x,t,y) = \sum_{(z,s,x)\in G}\int_{X_\infty}\overline{V_{\infty,0}\xi(\underline{z},(z,s,x))}\eta(\underline{z},(z,s+t,y))\,d\eta_z^{D_b}(\underline{z})\\ & \quad =\sum_{(z,s,x)\in G}\overline{\xi(z,s,x)}\int_{X_\infty}\eta(\underline{z},(z,s+t,y))\,d\nu_z^{D_b}(\underline{z}) =\langle \xi,V_{\infty,0}^*\eta\rangle_{C_c(G)}(x,t,y).\\[-46pt] \end{align*} $$
Recall that
$\Phi _{*}(f)$
is the image of
$f\in C_c(G(X,\sigma ),\lambda )$
in
$C_c(G_\infty (X,\sigma ),\nu ^D*\lambda )$
under the map
$\Phi _*$
defined in (7-7). Define
$\mathbb {E}_0:=\mathbb {L}(\Phi _{*}(1_{R_{0,0}}))$
, where
$\mathbb {L}$
is the left action of
$C^*(G_\infty (X,\sigma ),\nu ^D*\lambda )$
on
$\mathcal {X}_\infty $
defined in (8-1). Then,
$\mathbb {E}_0$
is a projection since
$\Phi _{*}(1_{R_{0,0}})$
is a projection (see paragraph above (7-10)).
Definition 9.2. The sequence of projections
$\{\mathbb {E}_j\}^{\infty }_{j= -\infty }$
on
$\mathcal {L}(\mathcal {X}_{\infty })$
defined by the formula
together with
$U_{\mathfrak {u}}$
, is called the proto-multiresolution analysis determined by
$(X,\sigma ,D,b)$
.
Theorem 9.3. The proto-multiresolution analysis
$(\{\mathbb {E}_j\}_{j= -\infty }^{\infty },U_{\mathfrak {u}})$
satisfies Properties (PMRA1), (PMRA2), (PMRA3), and (PMRA4) of Section 1:
-
(1)
$\mathbb {E}_j\geq \mathbb {E}_i$
when
$j\geq i$
; -
(2)
$I_{\mathcal {X}}=\bigvee _{-\infty < j < \infty } \mathbb {E}_j$
; -
(3)
$U_{\mathfrak {u}}^*\mathbb {E}_jU_{\mathfrak {u}}= \mathbb {E}_{j-1}$
for all j; and -
(4) the copy of
$C^*(G(X,\sigma ),\lambda )$
in
$C^*(G_{\infty }(X,\sigma ),\nu ^D*\lambda )$
leaves the range of
$\mathbb {E}_j\ominus \mathbb {E}_{j-1}$
invariant, and
$U_{\mathfrak {u}}^{j-i}$
implements a unitary equivalence between the restriction of the copy of
$C^*(G(X,\sigma ),\lambda )$
to the range of
$\mathbb {E}_j\ominus \mathbb {E}_{j-1}$
and the restriction of the copy to the range of
$\mathbb {E}_i\ominus \mathbb {E}_{i-1}$
.
Proof. The proof is a consequence of the definition of the projections
$\mathbb {E}_j$
, the fact that
$1_{R_{0,0}}$
is the unit of
$C^*(G(X,\sigma ),\lambda )$
, and the fact that
$\mathbb {E}_j=\mathbb {L}(\Phi _{*}(1_{R_{j,j}}))$
for all
$j\ge 0$
. We check this property for
$j=1$
for simplicity:
$$ \begin{align*} & U_{\mathfrak{u}}\mathbb{E}_0U_{\mathfrak{u}}^{-1}\xi(\underline{x},(p(\underline{x},t,y))) =\mathfrak{u}(p(\underline{x}))\mathbb{E}_0U^{-1}\xi (\sigma_\infty(\underline{x}),(p(\sigma_\infty(\underline{x})),t-1,y))\\ & \quad=\mathfrak{u}(p(\underline{x}))\int_G\int_{X_\infty}\Phi_*(1_{R_{0,0}})(\sigma_\infty(\underline{x}),s,\underline{w})(U_{\mathfrak{u}}^{-1}\xi)(\underline{w},(w,t-s-1,y))\frac{\mathbb{d}(\underline{w})^{1/2}}{\mathbb{d}(\sigma_\infty(\underline{x}))^{1/2}}\\ & \quad\quad\cdots d\nu_w^D(\underline{w})\,d\lambda^{\sigma(x)}(\sigma(x),s,w)\\ & \quad=\mathfrak{u}(p(\underline{x}))\int_{X_\infty}\frac1{\mathfrak{u}(p(\sigma_\infty^{-1}(\underline{x})))}\xi(\sigma_{\infty}^{-1}(\underline{x}),(p(\sigma_\infty^{-1}(\underline{x})),t,y))\frac{\mathbb{d}(\underline{w})^{1/2}}{\mathbb{d}(\sigma_\infty(\underline{x}))^{1/2}}\,d\nu_{\sigma(x)}^D(\underline{w})\\ & \quad=\sum_{\sigma(u)=\sigma(x)}\int_{X_\infty}\xi(\underline{u},(p(\underline{u}),t,y))\frac{\mathbb{d}(\underline{u})^{1/2}}{\mathbb{d}(\underline{x})^{1/2}}\,d\nu_u^D(\underline{u})=\mathbb{L}(1_{R_{1,1}})\xi(\underline{x},(p(\underline{x}),t,y)). \end{align*} $$
For example, the last property follows from the fact that if
$a\in C^*(G(X,\sigma ),\lambda )$
, then
Remark 9.4. There is a strong connection between the proto-resolution analysis and the projective-resolution analysis of Larsen and Raeburn [Reference Larsen and Raeburn21, Reference Larsen and Raeburn22]. The groupoid
$G_\infty (X,\sigma )$
is the projective limit of the groupoids
$G(X,\sigma ^n)$
with the appropriate maps. Therefore,
$\mathcal {X}_\infty $
is the inductive limit of Hilbert modules
$\mathcal {X}_n$
defined by
$D_b^n$
. In this picture,
$\mathbb {E}_n$
can be viewed as the projection onto the image of
$\mathcal {X}_n$
into
$\mathcal {X}_\infty $
. The advantage of using the groupoid
$G_\infty (X,\sigma )$
to define the proto-resolution analysis is that we can use the powerful theory of induced representations of groupoid
$C^*$
-algebras, as in the next paragraph.
Let
$\hat {L}=(\mu ,X*\mathcal {H},\hat {L})$
be a representation of
$G(X,\sigma )$
. As before, we write
$\mathfrak {L}$
for the integrated representation of
$C^*(G(X,\sigma ),\lambda )$
on
$L^2(X*\mathcal {H},\mu )$
defined by
$\hat {L}$
via (4-3). The normalized potential
$D_b$
defines a topological correspondence from
$G_{\infty }(X,\sigma )$
to
$G(X,\sigma )$
(see Section 8). Theorem 4.1 implies that the induced
$C^*(G_{\infty }(X,\sigma ),\nu ^{D}*\lambda )$
-representation of
$\mathfrak {L}$
is unitarily equivalent to the integrated form
$\mathfrak {L}_\infty $
of the induced
$G_{\infty }(X,\sigma )$
representation
$\hat {L}_\infty =(\mu _\infty ^{D_b},X_\infty *\mathcal {H}_\infty ,\hat {L}_\infty )$
defined in Section 8. Set
$\tilde {S}_{\mathfrak {u}}:=\mathfrak {L}(S_{\mathfrak {u}})\in \mathcal {B}(L^2(X*\mathcal {H},\mu ))$
,
$\tilde {U}:=\mathfrak {L}_\infty (U_{\mathfrak {u}})\in \mathcal {B}(L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b}))$
, and
$V_j:=\mathfrak {L}_\infty (\mathbb {E}_j)L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
for all
$j\in \mathbb {Z}$
. Theorem 9.3 implies the following result.
Theorem 9.5. The family
$\{V_j\}$
of subspaces of
$L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
satisfies the properties:
-
(1)
$V_j\subset V_{j+1}$
for all
$j\in \mathbb {Z}$
; -
(2)
$\bigcup _{j=-\infty }^\infty V_j=L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
; -
(3) the copy of
$C^*(G(X,\sigma ))$
in
$C^*(G_{\infty }(X,\sigma ))$
leaves
$V_j\ominus V_{j-1}$
invariant and
$\tilde {U}^{j-i}$
implements a unitary equivalence between the restriction of the copy of
$C^*(G(X,\sigma ))$
to
$V_j\ominus V_{j-1}$
and the restriction of the copy to
$V_i\ominus V_{i-1}$
.
If
$\tilde {S}_{\mathfrak {u}}$
is a pure isometry, then
$\bigcap _{j=-\infty }^{\infty } V_j=\{0\}$
and
$\{V_j\}$
is a generalized multiresolution analysis determined by
$(X,\sigma ,D,b,\hat {L})$
.
Proof. The numbered items follow immediately from the corresponding properties of the proto-resolution analysis
$\{\mathbb {E}_j\}_{j\in \mathbb {Z}}$
.
For the last part, note that the isometry
$V_{\infty ,0}:\mathcal {X}_0\to \mathcal {X}_\infty $
determines an isometry
$W_{\infty ,0}:L^2(X*\mathcal {H},\mu )\to L^2(X_\infty *\mathcal {H}_\infty ,\mu _\infty ^{D_b})$
,
$W_{\infty ,0}\mathfrak {f}(\underline {x})=\mathfrak {f}(p(\underline {x}))$
, such that
$\tilde {U}_{\mathfrak {u}} W_{\infty ,0}=W_{\infty ,0}\tilde {S}_{\mathfrak {u}}$
and
$V_0=W_{\infty ,0}(L^2(X*\mathcal {H},\mu ))$
. Hence,
$\bigcap _{j=-\infty }^{\infty }V_j=\bigcap _{j\ge 0}W_{\infty ,0}\tilde {S}_{\mathfrak {u}}^j(L^2(X*\mathcal {H},\mu ))$
. Therefore,
$\bigcap _{j=-\infty }^{\infty }V_j=\{0\}$
if
$\tilde {S}_{\mathfrak {u}}$
is a pure isometry.
Part III Mallat’s theorem redux
10 Potentials, filters, and scaling functions
We fix a transfer operator
$\mathcal {L}_{\psi }$
for
$\sigma $
as in the paragraph following Definition 5.2 and we assume the potential
$\psi $
is full. In this section, we define and develop the concept of a filter associated to the potential
$\psi $
. A filter is a function that determines a new potential that is normalized but not necessarily full. In fact, to produce an analog of the scaling function that appears in (1-1), the new potential is definitely not full (see the paragraph before Section 11). A filter defines a p-system of measures on the projective limit
$X_\infty $
, where, recall,
$p:X_\infty \to X$
is the projection onto the first component. The main result of this section is Proposition 10.1, which shows that a scaling function for
$(X,\sigma )$
exists if and only if the system of measures is atomic.
The full potential
$\psi $
is used to define the Haar system on the pullback groupoid
$X_\infty *G*X_\infty $
via (3-1). To keep the notation shorter, we assume in the remainder of the paper that
$\psi $
is an unital potential in addition to being a full potential. If
$\psi $
is not unital, then one needs to replace
$\mathcal {L}_\psi $
with
$\mathcal {L}_{D_0}$
, where
$D_0(x)=\psi (x)/\mathcal {L}_\psi (1)(\sigma (x))$
in the formula below and in the construction of the p-system of measures on
$X_\infty $
(see Remark 5.8).
A function
$\boldsymbol {m}\in C(X)$
is called a
$\psi $
-filter if
$\mathcal {L}_\psi (\vert \boldsymbol {m}\vert ^2)=1$
. That is,
$$ \begin{align} \sum_{\sigma(y)=x}\psi(y)\vert \boldsymbol{m}(y)\vert^2=1 \end{align} $$
for all
$x\in X$
.
If
$\boldsymbol {m}$
is a
$\psi $
-filter, we write
$\mathfrak {u}$
for the continuous function
$\mathfrak {u}:X\to \mathbb {C}$
defined via
$\mathfrak {u}(x)=\sqrt {\psi (x)}\boldsymbol {m}(x)$
and we define
$D:X\to \mathbb {R}_+$
via
Connecting the notation with the notation used in previous sections, we have
$D(x)=D_b(x)=b(x)\psi (x)$
, where
$b(x)=\vert \boldsymbol {m}(x)\vert ^2$
.
By definition, D is a normalized potential for a new unital transfer operator
$\mathcal {L}_D$
, but note that D does not have to be full. In fact, the failure of D being full provides our most important applications. For a given potential
$\psi $
, one can find different
$\psi $
-filters
$\boldsymbol {m}$
. As we see in the examples, some of them lead to full normalized potentials, while others lead to normalized potentials that are not full. In a sense, one can view the remainder of the paper as the study of such normalized potentials and how non-full potentials can lead to wavelets.
In the remainder of this section, we fix a
$\psi $
-filter
$\boldsymbol {m}$
and the maps
$\mathfrak {u}$
and D defined by
$\boldsymbol {m}$
. Recall from (6-1) that D defines a p-system of measures on
$X_\infty $
denoted by
$\{\nu ^D_{x}\}_{x\in X}$
. We prove that a scaling function, as defined in (10-2) below, exists if and only if this p-system of measures is atomic. The scaling function is a key ingredient in our extension of Mallat’s theorem in Section 13. One should keep in mind that a scaling function provides a link or ‘map’ from analysis on X that is controlled by
$\sigma $
to classical harmonic analysis on
$\mathbb {R}$
that is built on the Fourier transform.
We say that a function
$\mathfrak {s}:X\to X_\infty $
is a section of the projective limit induced by
$(X,\sigma )$
if
$\mathfrak {s}$
is a (Borel) measurable function such that
$p\circ \mathfrak {s}(x)=x$
for all
$x\in X$
. We then say that such a section
$\mathfrak {s}$
is positively supported on
$X_\infty $
with respect to
$\boldsymbol {m}$
if
${\nu _{x}^D(\{\mathfrak {s}(x)\})>0}$
for all
$x\in X$
.
Evidently, a function
$\mathfrak {s}:X\to X_\infty $
is a section if and only if there is
$\underline {x}=(x_n)_{n\ge 0}\in X_\infty $
with
$x_0=x$
and
$\sigma (x_{n+1})=x_n$
for all
$n\ge 0$
such that
$\mathfrak {s}(x)=\underline {x}$
. Moreover,
$\mathfrak {s}$
is positively supported if and only if
$\mathfrak {s}(x)$
is an atom for
$\nu _{x}^D$
for all
$x\in X$
.
Proposition 10.1. Assume that
$\boldsymbol {m}$
is a
$\psi $
-filter and
$\mathfrak {s}:X\to X_\infty $
is a section of the projective limit induced by
$(X,\sigma )$
. Then,
$\mathfrak {s}$
is positively supported with respect to
$\boldsymbol {m}$
if and only if the function
$\phi :X\to \mathbb {C}$
,
$$ \begin{align} \phi(x):=\prod_{i=1}^\infty \mathfrak{u}(x_i), \end{align} $$
is defined for all
$x\in X$
, where
$(x_n)_{n\ge 0}=\mathfrak {s}(x)$
. The function
$\phi $
satisfies the scaling property
and if
$\mathfrak {s}$
is positively supported with respect to
$\boldsymbol {m}$
and if
$\mu $
is an arbitrary probability measure on X, then
$\phi \in L^2(X,\mu )$
.
Proof. Let
$x\in X$
and
$(x_n)_{n=0}^\infty :=\mathfrak {s}(x)$
. It follows from the definition of
$\nu _{x}^D$
that the product
$ \prod _{i=1}^\infty D(x_i)=\prod _{i=1}^\infty \vert \mathfrak {u}(x_i)\vert ^2$
converges if and only if
$$ \begin{align*} \nu_{x}^D(\{\mathfrak{s}(x)\})=\prod_{i=1}^\infty D(x_i)=\vert \phi(x)\vert^2>0. \end{align*} $$
Therefore,
$ \prod _{i=1}^\infty \mathfrak {u}(x_i)$
converges for all
$x\in X$
if and only if
$\mathfrak {s}$
is positively supported.
For the scaling property, note that
$\sigma _\infty (\mathfrak {s}(x))=\mathfrak {s}(\sigma (x))$
for all
$x\in X$
. Therefore,
$$ \begin{align*} \phi(\sigma(x))= \prod_{i=1}^\infty \mathfrak{u}(\sigma(x_i))=\mathfrak{u}(x)\prod_{i=1}^\infty \mathfrak{u}(x_i)=\mathfrak{u}(x)\phi(x). \end{align*} $$
The function defined in (10-2) is measurable since
$\mathfrak {s}$
is measurable. Moreover,
$$ \begin{align*} \int_X\vert \phi(x)\vert^2\,d\mu(x)=\int_X \nu_x(\mathfrak{s}(x))\,d\mu(x)\le \int_X\int_{X_\infty} 1\,d\nu_{x}(\underline{x})\,d\mu(x)=1. \end{align*} $$
Therefore,
$\phi \in L^2(X,\mu )$
.
Definition 10.2. We call the function
$\phi $
of (10-2) the scaling function of the system
$(X,\sigma ,\psi ,\boldsymbol {m}, \mathfrak {s})$
.
Using the fact that
$\mathfrak {u}(x)=\sqrt {\psi (x)}\boldsymbol {m}(x)$
, we can rewrite the scaling property as
$$ \begin{align*} \frac1{\sqrt{\psi(x)}}\phi(\sigma(x))=\boldsymbol{m}(x)\phi(x). \end{align*} $$
So, for example, if
$\psi (x)=1/N$
for all
$x\in X$
for some
$N\ge 2$
, we recover the well-known N-scaling property:
Note that a necessary condition for a section
$\mathfrak {s}:X\to X_\infty $
to be positively supported is that
$\lim _{n\to \infty }\vert \mathfrak {u}(x_n)\vert =1$
for all
$x\in X$
, where
$(x_n)_{n\ge 0}=\mathfrak {s}(x)$
. This implies that there is at least one
$z\in X$
such that
$\mathfrak {u}(z)=1$
since
$\{x_n\}_{n\ge 0}$
is a sequence in the compact space X and
$\mathfrak {u}$
is assumed to be continuous. Hence,
$D(z)=1$
and, thus,
$D(x)=0$
for all
$x\in \sigma ^{-1}(\sigma (z))\setminus \{z\}$
. Therefore, a necessary condition for the existence of a positively supported section is that the normalized potential D is not full.
11
$\psi $
-filters and isometries in
$C_c(G(X,\sigma ),\lambda )$
Recall from Theorem 9.5 that to build generalized multiresolution analyses, it is natural first to build isometries
$S_{\mathfrak {u}}$
in
$C^*(G(X,\sigma ),\lambda )$
and to seek conditions under which there are representations
$\mathfrak {L}$
of
$C^*(G(X,\sigma ),\lambda )$
such that
$\mathfrak {L}(S_{\mathfrak {u}})$
is a pure isometry. In this section, we study in more detail the fundamental building blocks: the isometry
$S_{\mathfrak {u}}$
defined in (5-5) and the projections in
$C^*( G(X,\sigma ),\lambda )$
determined by its iterates. Recall also that the key ingredients in the definition of
$S_{\mathfrak {u}}$
are, in addition to the local homeomorphism
$\sigma $
, a full potential
$\psi $
and a
$\psi $
-filter
$\boldsymbol {m}$
. We first explain how full potentials show up naturally in the context of the Deaconu–Renault groupoid once one chooses a unitary representation of the groupoid.
Recall that a unitary representation of a groupoid requires a quasi-invariant measure on its unit space. In the setting of the Deaconu–Renault groupoid
$G(X,\sigma )$
, Renault gives a detailed analysis in [Reference Renault31] that connects quasi-invariant measures on X, the unit space of
$G(X,\sigma )$
, with full, not-necessarily normalized potentials. His Proposition 3.4.1 proves that any such quasi-invariant measure
$\mu $
is invariant for the transpose of a transfer operator given by a full, not-necessarily normalized potential
$\psi $
. (We use the terms ‘transpose’, ‘adjoint’, and ‘dual’ interchangeably to refer to the operator on measures induced by a transfer’s action on functions.) That is, writing
$\mathcal {L}_{\psi }$
for the transfer operator given by
$\psi $
,
$\mu $
satisfies
$$ \begin{align*} \int_X \mathcal{L}_\psi(f)(x)\,d\mu=\int_X \sum_{\sigma(y)=x}\psi(y)f(y)\,d\mu=\int_X f(x)\,d\mu(x) \end{align*} $$
for all
$f\in C(X)$
. In general, a transfer operator
$\mathcal {L}_{\psi }$
may have many invariant probability measures. However, there are general conditions, which we discuss in Section 12, under which the correspondence between transfer operators and quasi-invariant measures for
$(X,\sigma )$
is one-to-one. Since all of our examples satisfy these conditions, we proceed to write
$\mu _{\psi }$
for the ‘pairing’ between quasi-invariant measures
$\mu $
and full potentials
$\psi $
.
We continue to assume that
$\psi $
is a unital full potential to keep our notation shorter. Our results are valid in the nonunital case. However, one needs to adjust slightly the computations involving
$\mu $
using the fact that
where
$D_0(x)=\psi (x)/\mathcal {L}_\psi (1)(\sigma (x))$
. The reader is encouraged to consult, for example, [Reference Dutkay and Jorgensen11] and the papers cited therein for computations involving similar formulas.
Additionally, [Reference Renault31, Proposition 3.4.1] also proves that the Radon–Nykodim derivative of
$\mu _\psi $
is given by
$$ \begin{align*} \Delta_{\psi}(x,k-l,y)=\frac{\psi(x)\psi(\sigma(x))\cdots \psi(\sigma^{k-1}(x))}{\psi(y)\psi(\sigma(y))\cdots \psi(\sigma^{l-1}(y))}. \end{align*} $$
Note that
$\mu _\psi $
is also invariant for the dual of the transfer operator
$\mathcal {L}_\psi ^n$
whose potential is given by
$\psi _n(x):=\prod _{i=0}^{n-1}\psi (\sigma ^i(x))$
.
Note that in the notation following Remark 5.8,
$\boldsymbol {E}_n^\psi :=\pi ^n\circ \mathcal {L}_\psi ^n$
, (5-6) can be written as
From now on, we fix a probability measure
$\mu _\psi $
that is invariant for the dual of a transfer operator with full potential
$\psi $
and view it as a quasi-invariant measure for the Deaconu–Renault groupoid
$G=G(X,\sigma )$
.
Next, we consider a
$\psi $
-filter
$\boldsymbol {m}$
as defined in (10-1), and we continue to use the notation
$\mathfrak {u}(x)=\sqrt {\psi (x)}\boldsymbol {m}(x)$
and
$D(x)=\vert \mathfrak {u}(x)\vert ^2=\psi (x)\vert \boldsymbol {m}(x)\vert ^2$
for all
$x\in X$
of the previous section. We stress that D is a normalized not necessarily full potential for its transfer operator
$\mathcal {L}_D$
. Recall from (5-5) that the function
$\mathfrak {u}$
defines an isometry
$S_{\mathfrak {u}}$
in
$C_c(G(X,\sigma ),\lambda )$
. It is important to keep in mind that
$\mu _\psi $
is not invariant for
$\mathcal {L}_D$
unless
$\vert \boldsymbol {m}(x)\vert =1$
for
$\mu _\psi $
-almost every (a.e.) x. As we see in Theorem 12.1, choosing
$\boldsymbol {m}$
such that
$\mu _\psi $
is not invariant for
$\mathcal {L}_D$
is the condition one needs to obtain a pure Hilbert space isometry from
$S_{\mathfrak {u}}$
.
To simplify the notation in the remainder of the paper, we write
$\mathfrak {u}_n(x):=\prod _{i=0} ^{n-1}\mathfrak {u}(\sigma ^i(x))$
,
$D_n(x):=\prod _{i=0}^{n-1}D(\sigma ^i(x))$
and
$\boldsymbol {m}_n(x):=\prod _{i=0}^{n-1} \boldsymbol {m}(\sigma ^i(x))$
for all
$n\ge 0$
and
$x\in X$
. Additionally, we use the notation
$\psi _n$
defined above as the potential of
$\mathcal {L}_\psi ^n$
and write
$D_n$
for the potential of
$\mathcal {L}_D^n$
.
The unitary extension
$U_{\mathfrak {u}}$
of
$S_{\mathfrak {u}}$
defined in (9-1) is one of the pillars of the proto-multiresolution analysis (see Theorem 9.3). Theorem 9.5 shows that a choice of a representation of
$G(X,\sigma )$
defines a generalized multiresolution analysis in the induced Hilbert space. The same theorem proves that the proto-multiresolution analysis becomes a multiresolution analysis if the image of
$S_{\mathfrak {u}}$
under the integrated form of the original representation is a pure isometry. To facilitate the study, we undertake in the next section, which is devoted to determining when the image of
$S_{\mathfrak {u}}$
under the integrated form of a unitary representation is a pure isometry, to describe the projections,
$E_n:=S_{\mathfrak {u}}^n*(S_{\mathfrak {u}}^{*})^n$
, onto the ranges of the
$S_{\mathfrak {u}}^n$
and develop some of their useful properties. An easy computation shows that
Point (4) under Remark 5.8 implies that the following equation holds in
$C_c(G)$
for all
$f\in C(X)$
:
where recall
$\pi :C(X)\to C(X)$
is the composition with
$\sigma $
and
$\boldsymbol {E}_n^D$
is the projection
$\pi ^n\circ \mathcal {L}_D^n$
defined under Remark 5.8.
12 Unitary representations of
$G(X,\sigma )$
: deciding when the image of
$S_{\mathfrak {u}}$
is a pure isometry
In this section, we consider a representation
$\hat {L}$
of
$G(X,\sigma )$
and provide conditions that guarantee that the image of
$S_{\mathfrak {u}}$
under the integrated form of
$\hat {L}$
is a pure isometry. Our results generalize numerous previous results in the literature. See, in particular, [Reference Baggett, Larsen, Merrill, Packer and Raeburn2, Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Reference Bratteli and Jorgensen6].
We continue to fix a quasi-invariant measure
$\mu _\psi $
that is invariant for the dual of a transfer operator
$\mathcal {L}_\psi $
with unital full potential
$\psi $
. Let
$\hat {L}$
be a representation of
$G(X,\sigma )$
into a Hilbert bundle
$X*\mathcal {H}$
over X. Recall that this means that
$\hat {L}$
is a Borel homomorphism of
$G(X,\sigma )$
into the unitary groupoid of
$X*\mathcal {H}$
,
${\operatorname {Iso}}(X*\mathcal {H})$
. Hence, the triple
$\hat {L}:=(\mu _\psi ,X*\mathcal {H},\hat {L})$
constitutes a unitary representation of
$G(X,\sigma )$
that may be integrated to a
$C^*$
-representation
$\mathfrak {L}$
of
$C_c(G(X,\sigma ),\lambda )$
as in (2-2). Next, we fix a
$\psi $
-filter
$\boldsymbol {m}$
and consider how the functions
$\mathfrak {u}(x):=\sqrt {\psi (x)}\boldsymbol {m}(x)$
and
$D(x)=\vert \mathfrak {u}(x)\vert ^2$
interact with
$\hat {L}$
.
The main goal of this section is to determine whether the isometry
$\tilde {S}_{\mathfrak {u}}:=\mathfrak {L}(S_{\mathfrak {u}})$
, where
$S_{\mathfrak {u}}$
is defined in (5-5), is a pure isometry. To achieve our goal, we are going to use the reverse martingale theorem as adapted to the groupoid setting in [Reference Renault30, Proposition 3.5, Theorems 3.10 and 6.1]. We describe briefly how Renault’s setting applies to our situation. Equation (11-2) implies that the range projection of
$\tilde {S}_{\mathfrak {u}}$
depends only on the proper equivalence relation
$R_{n,n}$
. In the language of [Reference Renault30],
$R_\infty =\bigcup _{n}R_{n,n}$
is an approximately proper (AP) equivalence relation.
Recall that we assume that
$\psi $
is an unital full normalized potential. We also assume that the hypotheses of [Reference Renault30, Theorem 6.1] are satisfied. These hypotheses are:
-
(i) the AP equivalence
$R_\infty $
is minimal; -
(ii) there exists an integer
$L\ge 1$
such that
$\sigma ^L$
admits a generator; -
(iii) there exists an integer
$M\ge 1$
such that
$\psi _m$
satisfies Bowen’s condition with respect to
$\sigma ^M$
.
Under these hypotheses, the stationary cocycle
$\Delta _\psi $
on
$R_\infty $
is uniquely ergodic and we may invoke the main theorems of [Reference Renault30]. While we do not go into details, we note that if X is a compact metric space and
$\sigma $
is a positively expansive surjective local homeomorphism, then the above hypotheses are satisfied [Reference Renault30, Example 6.2]. The local homeomorphisms in the examples that we consider in this paper are positively expansive and, thus, satisfy these hypotheses.
The next theorem, which is the main result of this section, shows that
$\tilde {S}_{\mathfrak {u}}$
is a pure isometry provided that
$\mu _\psi $
is not invariant for the dual of the transfer operator
$\mathcal {L}_D$
. To ease the notation a bit, we are going to write
$\tilde {E}_n$
for
$\mathfrak {L}(E_n)$
throughout the proof.
Theorem 12.1. Assume that
$\sigma :X\to X$
is a surjective local homeomorphism such that the above hypotheses are satisfied. Let
$ \mu _\psi $
be a quasi-invariant measure for
$G(X,\sigma )$
that is invariant for the dual of the transfer operator
$\mathcal {L}_\psi $
with unital full potential
$\psi $
. Let
$\boldsymbol {m}$
be a
$\psi $
-filter such that
$\mu _\psi (\{x\in X\,\mid\,\vert \boldsymbol {m}(x)\vert \ne 1\})>0$
. Then, the isometry
$\tilde {S}_{\mathfrak {u}}=\mathfrak {L}(S_{\mathfrak {u}})$
is a pure isometry.
Proof. Assume, by way of contradiction, that
$\tilde {S}_{\mathfrak {u}}$
is not pure. Then, there is a unit vector
$\mathfrak {f}\in \bigcap _{n\ge 0} \tilde {S}^n_{\mathfrak {u}} L^2(X*\mathcal {H}, \mu _\psi )$
and, thus,
$\tilde {E}_n\mathfrak {f}=\mathfrak {f}$
for all
$n\ge 0$
. Using the notation under Remark 5.8, we write
$\boldsymbol {E}_n^\psi :=\pi ^{n}\circ \mathcal {L}_\psi ^n$
and
$\boldsymbol {E}_n^D:=\pi ^n\circ \mathcal {L}_D^n$
. We claim that
for
$\mu _\psi $
-a.e.
$x\in X$
and for all
$n\ge 0$
. Equation (12-1) is a generalization of [Reference Bratteli and Jorgensen6, (3.26)] and [Reference Baggett, Larsen, Merrill, Packer and Raeburn2, Lemma 10]. We provide a shorter proof using (11-3) and (11-1).
First, note that
$\boldsymbol {E}_n^\psi $
satisfies (11-1) since
$\mu _\psi $
is invariant for
$\mathcal {L}_\psi $
. Moreover,
$\boldsymbol {E}_n^D(f)=\boldsymbol {E}_n^\psi (\vert \boldsymbol {m}_n\vert ^2f)$
since
$D_n=\psi _n\cdot \vert \boldsymbol {m}_n\vert ^2$
. Let
$f\in C(X)$
. Then,
$$ \begin{align*} \int_Xf(x)\Vert \mathfrak{f}(x)\Vert^2\,d\mu_\psi(x) & = \int_X \langle f(x)\mathfrak{f}(x),\mathfrak{f}(x)\rangle \,d\mu_\psi(x)=\langle f\mathfrak{f},\mathfrak{f}\rangle\\ & =\langle f\tilde{E}_n\mathfrak{f},\tilde{E}_n\mathfrak{f}\rangle=\langle \tilde{E}_n f\tilde{E}_n\mathfrak{f},\mathfrak{f}\rangle=\langle \boldsymbol{E}_n^D(f) \mathfrak{f},\mathfrak{f}\rangle\\ & =\int_X \boldsymbol{E}_n^D(f)(x)\Vert\mathfrak{f}(x)\Vert^2\,d\mu_\psi(x) = \int_X \boldsymbol{E}_n^\psi(\vert \boldsymbol{m}_n\vert^2f) \Vert \mathfrak{f}(x)\Vert^2\,d\mu_\psi(x)\\ & =\int_X \vert \boldsymbol{m}_n(x)\vert^2f(x)\boldsymbol{E}_n^\psi(\Vert \mathfrak{f}\Vert^2)(x)\,d\mu_\psi(x). \end{align*} $$
Hence, (12-1) holds.
Recall from under Remark 5.8 that the sequence of
$\boldsymbol {E}_n^\psi $
is a reversed martingale:
$\boldsymbol {E}_m^\psi \boldsymbol {E}_n^\psi =\boldsymbol {E}_n^\psi \boldsymbol {E}_m^\psi =\boldsymbol {E}_n^\psi $
for
$m\le n$
(see [Reference Renault30, Proposition 3.5]). Under our hypotheses, [Reference Renault30, Theorem 3.10] implies that
$\boldsymbol {E}_n^\psi (\Vert \mathfrak {f}(\cdot )\Vert )$
converges uniformly to a constant function. Part (iii) of [Reference Renault30, Corollary A.3] implies that the limit of
$\boldsymbol {E}_n^\psi (\Vert \mathfrak {f}(\cdot )\Vert )$
equals
${\int _X \Vert \mathfrak {f}(x)\Vert ^2\,d\mu _\psi (x)=1}$
. Therefore,
for
$\mu _\psi $
-a.e.
$x\in X$
. In particular,
$\boldsymbol {m}_\infty (x):=\lim _{n\to \infty }\boldsymbol {m}_n(x)$
exists for
$\mu _\psi $
-a.e. x. Note that
$\vert \boldsymbol {m}_\infty (x)\vert ^2=\Vert \mathfrak {f}(x)\Vert ^2$
for
$\mu _\psi $
-a.e.
$x\in X$
. Hence,
$\int _X \vert \boldsymbol {m}_\infty (x)\vert ^2\,d\mu _\psi (x)=1$
since
$\mathfrak {f}$
is a unit vector.
Let
$k,n\in \mathbb {N}$
satisfy the inequality
$n>k$
. Recall that
$\mathcal {L}_\psi ^k(\vert \boldsymbol {m}_k\vert ^2)=1$
. Using the fact that
$\boldsymbol {m}_n(x)=\boldsymbol {m}_k(x)\prod _{i=k}^{n-1}\boldsymbol {m}(\sigma ^i(x))$
and the fact that
$\mathcal {L}_\psi ^k$
is a transfer operator with range equal to that of
$\pi ^{k}$
, we obtain
$$ \begin{align*} \mathcal{L}_\psi^k(\vert \boldsymbol{m}_n\vert^2)(x)=\mathcal{L}_\psi^k\bigg( \vert \boldsymbol{m}_k\vert^2\prod_{i=k}^{n-1}\vert\boldsymbol{m}\circ \sigma^i\vert(x)\bigg)=\mathcal{L}_\psi^k(\vert \boldsymbol{m}_k\vert^2)(x)\vert \boldsymbol{m}_{n-k}(x)\vert^2 =\vert \boldsymbol{m}_{n-k}(x)\vert^2. \end{align*} $$
Taking the limit as
$n\to \infty $
, we obtain that
$\mathcal {L}_\psi ^k(\vert \boldsymbol {m}_\infty \vert ^2)=\vert \boldsymbol {m}_\infty \vert ^2$
for all
$k\ge 1$
. Therefore,
$\lim _{k\to \infty }\mathcal {L}_\psi ^k(\vert \boldsymbol {m}_\infty \vert ^2)=\vert \boldsymbol {m}_\infty \vert ^2$
. However, [Reference Renault30, Corollary A.3] implies that
Hence,
$\vert \boldsymbol {m}_\infty (x)\vert =1$
for
$\mu _\psi $
-a.e. x. To finish the proof, we note that
$\boldsymbol {m}_\infty (x)=\boldsymbol {m}(x)\boldsymbol {m}_\infty (\sigma (x))$
for
$\mu _\psi $
-a.e. x. Therefore,
$\vert \boldsymbol {m}(x)\vert =1$
for
$\mu $
-a.e. x. This is a contradiction and, hence,
$\tilde {S}_{\mathfrak {u}}$
is a pure isometry.
To relate our result with those in the literature, note that under the assumption that
$\psi $
is unital, the isometry
$\tilde {S}_{\mathfrak {u}}$
is given by the formula
for all
$\mathfrak {h}\in L^2(G^{(0)}*\mathcal {H},\mu )$
. In particular, if
$\mathcal {H}=X\times \mathbb {C}$
is the trivial bundle and
$L=\iota $
is the fundamental representation on
$\mu $
,
$\iota _{(x,t,y)}z=z$
, then
$\tilde {S}_{\mathfrak {u}}\in B(L^2(X,\mu ))$
(see paragraph above (2-2)) and it is given by the formula
for all
$h\in L^2(X,\mu )$
. Thus, our result recovers [Reference Bratteli and Jorgensen6, Theorem 3.1], [Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Theorem 3.1], and, by choosing a different representation, [Reference Baggett, Larsen, Merrill, Packer and Raeburn2, Theorem 8].
13 The conclusion: MRAs with nonconstant scaling functions and Mallat’s theorem
We apply the techniques developed in the previous sections to a class of examples that provide a far reaching generalization of Mallat’s multiresolution analysis. The examples that we study are based on the general n-fold map of
$\mathbb {T}$
studied in [Reference Ionescu and Kumjian16, Section 4.5] and include, among others, finite Blaschke products.
Let
$\varphi :[0,1]\to \mathbb {R}$
be a continuous positive function such that
$\varphi (0)=\varphi (1)$
and
${N:=\int _0^1 \varphi (x)\,dx}$
is a positive integer greater than or equal to
$2$
. We extend
$\varphi $
to be defined on
$\mathbb {R}$
via periodicity. We assume in the following that
$\underline {\varphi }:=\min _{x\in [0,1]}\varphi (x)>1$
. Let
$X=\mathbb {T}$
be viewed as
$\mathbb {R}/\mathbb {Z}$
with the corresponding metric. Define
$\sigma :\mathbb {T}\to \mathbb {T}$
via
Then,
$\sigma $
is an N-fold covering map of
$\mathbb {T}$
and, in particular, it is a local homeomorphism.
Example 13.1.
-
(1) Let
$\varphi :[0,1]\to \mathbb {R}$
be defined via
$\varphi (t)=N\ge 2$
for all
$t\in [0,1]$
. Then,
$\sigma :\mathbb {T}\to \mathbb {T}$
is given by
$\sigma (z)=z^N$
for all
$z\in \mathbb {T}$
. -
(2) Let
$\mathbb {D}:=\{z\in \mathbb {C}\,\mid\,\vert z\vert \le 1\}$
and let
$b:\mathbb {D}\to \mathbb {D}$
be a finite Blaschke product (13-1)where
$$ \begin{align} b(z)=C\prod_{i=1}^N \frac{z-a_k}{1-\overline{a_k}z}\quad \text{for all }z\in\mathbb{D}, \end{align} $$
$C\in \mathbb {T}$
and
$a_i\in \mathbb {D}$
are such that
$\vert a_i\vert <1$
for all
$i=1,\ldots ,N$
and
$b(1)=1$
. Let
$\sigma $
be the restriction of b to
$\mathbb {T}$
. It is known that
$\sigma $
is an N-to-1 local homeomorphism on
$\mathbb {T}$
(see, for example, [Reference Garcia, Mashreghi and Ross13, Theorem 3.4.10]). Reference [Reference Courtney, Muhly and Schmidt8, Lemma 4.2] implies that there is a function
$\varphi :[0,1]\to [0,1]$
such that
$\sigma (e^{2\pi ix})=e^{2\pi i\int _0^x \varphi (t)\,dt}$
.
Let
$\mathbb {T}_\infty $
be the projective limit induced by
$(\mathbb {T},\sigma ^n)_{n\ge 0}$
. We define next a section
$\mathfrak {s}:\mathbb {T}\to \mathbb {T}_\infty $
such that
$\lim _{n\to \infty }z_n=e^{2\pi i 0}=1$
for all
$z\in \mathbb {T}$
, where
$\mathfrak {s}(z)=(z_n)_{n\ge 0}$
. To accomplish this, we describe explicitly the preimage under
$\sigma $
of a point
$z\in \mathbb {T}$
. Let
$x\in [0,1)$
be such that
$z=e^{2\pi ix}$
. If
$x\notin [0,1)$
, we replace it by
$x-k$
, where
$k\in \mathbb {Z}$
is such that
$x-k\in [0,1)$
. There are N points
$y_0,y_1,\ldots ,y_{N-1}\in [0,1)$
such that
$\int _0^{y_k}\varphi (t)\,dt=x+k$
for all
$k=0,\ldots ,N-1$
. Therefore,
$\sigma (e^{2\pi i y_k})=e^{2\pi i (x+k)}=e^{2\pi i x}$
for all
$k=0,\ldots ,N-1$
. We say that
$e^{2\pi i y_0},\ldots , e^{2\pi i y_{N-1}}$
are the N roots of
$e^{2\pi i x}$
under
$\sigma $
. With a slight abuse of notation, we also say that
$y_0,\ldots ,y_{N-1}$
are the N roots of x under
$\sigma $
. Moreover, even though the N roots of x under
$\sigma $
depend on x, we do not explicitly write this dependence to ease the notation. Note that
$y_0<y_1<\cdots <y_{N-1}$
for all
$x\in [0,1)$
since
$\varphi (t)>0$
for all
$t\in [0,1]$
. We say that
$y_0$
is the smallest root of x under
$\sigma $
and that
$y_{N-1}$
is the largest root of x under
$\sigma $
. For
$x=0$
, we use the special notation
$r_0,r_1,\ldots ,r_{N-1}$
for the roots of
$0$
under
$\sigma $
:
$r_0=0$
and
$\int _0^{r_k}\varphi (t)\,dt=k$
for all
$k=1,\ldots , N-1$
. We write
$r:=\min \{ r_1,1-r_{N-1}\}$
.
The following lemma captures a few basic properties of the roots under
$\sigma $
that help us define the section
$\mathfrak {s}$
.
Lemma 13.2. Let
$x\in [0,1)$
and let
$y_0,\ldots ,y_{N-1}$
be the roots of x under
$\sigma $
. Then,
$$ \begin{align} 0\le y_0\le \frac{x}{\underline{\varphi}}<x \quad\text{and}\quad 0<1-y_{N-1}\le\frac{1-x}{\underline{\varphi}}<1-x. \end{align} $$
Proof. The first formula follows using an easy computation:
$$ \begin{align*} x=\int_0^{y_0}\varphi(t)\,dt\ge \int_0^{y_0}\underline{\varphi}\,dt=y_0\underline{\varphi}. \end{align*} $$
Thus,
$y_0<x/\underline {\varphi }$
. The fact that
$x/\underline {\varphi }<x$
follows since
$\underline {\varphi }>1$
by our assumption. The second formula follows from a similar computation:
$$ \begin{align*} 1-x=N-(x+(N-1))=\!\!\int_0^1 \!\varphi(t)\,dt-\!\!\int_0^{y_{N-1}} \!\varphi(t)\,dt=\!\!\int_{y_{N-1}}^1\!\varphi(t)\,dt\ge (1-y_{N-1})\underline{\varphi}. \end{align*} $$
Equation (13-2) implies that if
$x\in [0,1/2)$
, then
$y_0\in [0,1/2)$
and if
$x\in [1/2,1)$
, then
$y_{N-1}\in [1/2,1)$
. We call
$y_0$
if
$x\in [0,1/2)$
and
$y_{N-1}$
if
$x\in [1/2,1)$
the standard root of x under
$\sigma $
and denote it by
$\tilde {x}$
.
It is convenient for our purposes to parameterize the unit circle starting at the point (-1,0) instead of (1,0). That is, we view
$z=e^{2\pi i x}$
with
$x\in [-1/2,1/2)$
instead of
$x\in [0,1)$
. Using this perspective, if
$x\in [-1/2,1/2)$
, the standard root
$\tilde {x}$
of x under
$\sigma $
satisfies
$\int _0^{\tilde {x}}\varphi (t)\,dt=x$
.
We can now define the promised section
$\mathfrak {s}:\mathbb {T}\to \mathbb {T}_\infty $
. Let
$z=e^{2\pi ix}$
with
$x\in [-1/2,1/2)$
. Set
$x_0=x$
and define
$x_1:=\widetilde {x_0}$
, the standard root of
$x_0$
under
$\sigma $
. We proceed then inductively:
$x_{n+1}:=\widetilde {x_n}$
, the standard root of
$x_n$
under
$\sigma $
for all
$n\ge 1$
. Hence, by definition,
$\sigma (e^{2\pi i x_{n+1}})=e^{2\pi i x_n}$
for all
$n\ge 0$
.
Lemma 13.3. Let
$x\in [-1/2,1/2)$
and let
$(x_n)_{n\ge 0}$
be the sequence defined above. Then,
$(e^{2\pi i x_n})\in \mathbb {T}_\infty $
and, thus, the function
$\mathfrak {s}:\mathbb {T}\to \mathbb {T}_\infty $
defined via
$\mathfrak {s}(e^{2\pi i x}):=(e^{2\pi i x_n})_{n\ge 0}$
for all
$x\in [-1/2,1/2)$
is a section. Moreover,
$\lim _{n \to \infty }x_n=0$
and, thus,
$\lim _{n\to \infty }e^{2\pi i x_n}=1$
for all
$x\in [-1/2,1/2)$
.
Proof. The fact that
$(e^{2\pi i x_n})_{n\ge 0}\in \mathbb {T}_\infty $
follows from the construction of the sequence:
$\sigma (e^{2\pi i x_{n+1}})=e^{2\pi i x_n}$
for all
$n\ge 0$
. If
$x\in [-1/2,1/2)$
, (13-2) implies that
$\vert x_n\vert \le \vert x\vert /\underline {\varphi }^n$
for all
$n\ge 1$
. Therefore,
$\lim _{n\to \infty }x_n=0$
since
$\underline {\varphi }>1$
.
We use tacitly the following notation in the remainder of this section: for each
${x\in [-1/2,1/2)}$
, we let
$(x_n)_{n\ge 0}$
be the sequence defined in Lemma 13.3 and
$z_n=e^{2\pi i x_n}$
for all
$n\ge 0$
. Therefore,
$\mathfrak {s}(z)=(z_n)_{n\ge 0}$
. Moreover, we do not write explicitly the dependence of the sequence
$(x_n)$
on x to keep the notation short.
Let
$\psi :\mathbb {T}\to \mathbb {R}$
be the full potential defined via
$\psi (e^{2\pi i x})=1/\varphi (x)$
for all
$x\in [0,1]$
, and let
$\mathcal {L}_\psi $
be its transfer operator. With respect to the induced metric, the Hausdorff dimension of
$\mathbb {T}$
is 1 and the Hausdorff measure
$\mu :=\mu ^1$
is invariant under the transpose of
$\mathcal {L}_\psi $
. Consequently, it is a quasi-invariant measure for
$G(\mathbb {T},\sigma )$
[Reference Ionescu and Kumjian16, Section 4.5]. Moreover, if
$\varphi (x)>1$
for all
$x\in [0,1]$
and is continuously differentiable, then
$\sigma $
is expansive and exact. Thus,
$\mu $
is the unique measure that is a fixed point of the transpose of
$\mathcal {L}_\psi $
([Reference Kumjian and Renault19, Theorem 2.8], [Reference Renault29, Proposition 4.2], [Reference Ionescu and Kumjian16, Proposition 3.5]). The Hausdorff measure
$\mu $
is the only measure that we consider in this example.
As discussed in the paragraph above (10-1), we assume that
$\mathcal {L}_\psi $
is unital to keep the notation manageable. The results below remain true in the nonunital case if one defines
$\mathfrak {u}(x)=\boldsymbol {m}(x)\sqrt {\psi (x)}/\mathcal {L}_\psi (1)(\sigma (x))$
and uses the invariance of
$\mu $
as described in the paragraph containing (11).
Fix a
$\psi $
-filter
$\boldsymbol {m}\in C(\mathbb {T})$
and set, as usual,
$\mathfrak {u}(z)=\boldsymbol {m}(z)\sqrt {\psi (z)}$
and
$D(z)=\vert \mathfrak {u}(z)\vert ^2=\vert \boldsymbol {m}(z)\vert ^2\psi (z)$
for all
$z\in \mathbb {T}$
. Therefore,
$\mathfrak {u}(e^{2\pi i x})=\boldsymbol {m}(e^{2\pi i x})/\sqrt {\varphi (x)}$
for all
$x\in [0,1]$
. Since we extended
$\varphi $
to
$\mathbb {R}$
by periodicity,
$\mathfrak {u}(e^{2\pi i x})=\boldsymbol {m}(e^{2\pi i x})/\sqrt {\varphi (x)}$
for all
$x\in \mathbb {R}$
.
Consider the p-system of measures
$\{\nu _z^D\}_{z\in \mathbb {T}}$
on
$\mathbb {T}_\infty $
defined by D as in (6-1), where, recall,
$p:\mathbb {T}_\infty \to \mathbb {T}$
is the projection onto the first component. Recall also that
${r_0=0,r_1,\ldots ,r_{N-1}\in [0,1)}$
are the roots of
$0$
under
$\sigma $
and
$r=\min \{r_1,1-r_{N-1}\}\in (0,1)$
.
The next lemma is key to our analysis. It provides conditions that guarantee that the section
$\mathfrak {s}$
defined before is positively supported and, thus, a scaling function
$\phi $
exists. This lemma is the first step towards our generalization of [Reference Mallat23, Theorem 2]. We note that even though our set-up is more general than the one that Mallat considered, the hypotheses of our lemma are virtually identical to Mallat’s hypotheses.
Lemma 13.4. With the notation as above, assume that
$\varphi (x)> 1$
for all
$x\in [0,1]$
. Assume that
$\mathfrak {u}:\mathbb {T}\to \mathbb {C}$
,
$\mathfrak {u}(e^{2\pi i x}):=\boldsymbol {m}(e^{2\pi i x})/\sqrt {\varphi (x)}$
for
$x\in [-1/2,1/2)$
, satisfies the following hypotheses:
Then, the section
$\mathfrak {s}:\mathbb {T}\to \mathbb {C}$
defined above is positively supported. That is, the scaling function
$\phi :\mathbb {T}\to \mathbb {C}$
given via
$$ \begin{align*} \phi(z)=\prod_{n=1}^\infty \mathfrak{u}(z_n)=\prod_{n=1}^\infty\frac1{\sqrt{\varphi(x_n)}}\boldsymbol{m}(e^{2\pi i x_n}) \end{align*} $$
for all
$z=e^{2\pi i x}\in \mathbb {T}$
with
$x\in [-1/2,1/2)$
converges for all
$z\in \mathbb {T}$
, where
$(x_n)_{n\ge 0}$
is the sequence defined in Lemma 13.3.
Remark 13.5.
-
(1) If the hypothesis (13-3) is satisfied, then
$D(e^{2\pi ir_k})=0$
for all
${k=1,\ldots , N-1}$
since
$\sum _{k=0}^{N-1}D(e^{2\pi i r_k})=1$
. Thus,
$\boldsymbol {m} (e^{2\pi i r_k})=0$
for all
${k=1,\ldots ,N-1}$
. The converse is also true: if
$\boldsymbol {m}(e^{2\pi i r_k})=0$
for all
$k=1,\ldots , N-1$
, then
$\mathfrak {u}$
satisfies (13-3). If the hypothesis (13-4) is satisfied as well, then
$e^{2\pi i r_1},\ldots ,e^{2\pi ir_{N-1}}$
are the only points where
$\boldsymbol {m}$
vanishes. -
(2) The scaling function
$\phi $
satisfies the relation (13-6)
$$ \begin{align} \phi(z)=\bigg(\prod_{i=1}^n \mathfrak{u}(z_i)\bigg) \ \phi(z_n)\quad\text{for all }n\ge 1\,\text{and}\, z\in\mathbb{T}. \end{align} $$
Proof of Lemma 13.4.
We continue to use the notation
$\underline {\varphi }:=\min _{x\in [0,1]}\varphi (x)>1$
. Note first that
$\vert \phi (e^{2\pi i 0})\vert ^2=\vert \phi (1)\vert ^2=1$
by (13-3) since
$\mathfrak {s}(1)=(\underline {1})$
by construction. Second, if
$x\in [-1/2,1/2)$
, the product
$\prod _{n=1}^\infty \vert \mathfrak {u}(z_n)\vert ^2=\prod _{n=1}^\infty D(z_n)$
converges since
$0\le D(z)\le 1$
for all
$z\in \mathbb {T}$
. Moreover, using (13-2) and
$\underline {\varphi }>1$
,
$\vert x_n\vert <r$
for all
$n\ge 1$
and, thus,
$D(x_n)> 0$
for all
$n\ge 1$
by (13-4). Since
using (13-5) and the fact that
$\lim _{n\to \infty } x_n=0$
, we obtain the formulas
Let
$0<\varepsilon <1$
and let
$\delta>0$
be such that
$\vert \phi (x)\vert ^2>1-\varepsilon $
for all
$\vert x\vert <\delta $
. Let
$x\in [-1/2,1/2)$
. Since
$\lim _{n\to \infty }x_n=0$
, there is
$M\ge 1$
such that
$\vert x_n\vert <\delta $
for all
$n\ge M$
. Therefore, using (13-6), we have
$$ \begin{align*} \vert\phi(e^{2\pi ix})\vert^2=\bigg(\prod_{i=1}^{M}D(x_i)\bigg)\vert \phi(e^{2\pi ix_{M}})\vert^2>(1-\varepsilon)\bigg(\prod_{i=1}^{M}D(x_i)\bigg)>0 \end{align*} $$
for all
$x\in [-1/2,1/2)$
. The conclusion follows.
Next, we lift
$\phi $
to a ‘nonconstant’ scale, scaling function
$\tilde {\phi }$
on
$\mathbb {R}$
:
$$ \begin{align*} \tilde{\phi}\ \bigg( \int_0^x\varphi(t)\,dt\bigg)=\frac1{\sqrt{\varphi(x)}}\boldsymbol{m}(e^{2\pi i x})\tilde{\phi}(x) \end{align*} $$
or, equivalently,
$$ \begin{align*} \sqrt{\varphi(x)} \tilde{\phi} \ \bigg( \int_0^x\varphi(t)\,dt\bigg)=\boldsymbol{m}(e^{2\pi i x})\tilde{\phi}(x) \end{align*} $$
for all
$x\in \mathbb {R}$
. To do this, we extend the construction of the sequence
$(x_n)$
from
${x\in [-1/2,1/2)}$
to all
$x\in \mathbb {R}$
. Specifically, for
$x\in \mathbb {R}$
, let
$\{x_n\}_{n\ge 0}$
be the sequence defined via:
$x_0=x$
, and,
$x_{n+1}$
is such that
$\int _0^{x_{n+1}}\varphi (t)\,dt=x_{n}$
for
$n\ge 0$
. Equation (13-2) implies that
$\lim _{n\to \infty }x_n=0$
. Moreover,
$\sigma (e^{2\pi ix_{n+1}})=e^{2\pi i x_n}$
for all
$n\ge 0$
. The sequence
$\{x_n\}_{n\ge 0}$
depends on x; however, as before, we do not explicitly write the dependence of the sequence
$\{x_n\}$
on x. Again, this should not lead to any confusion. Define
$$ \begin{align} \tilde{\phi}(x)=\prod_{n\ge 1}\mathfrak{u}(e^{2\pi i x_n})=\prod_{n\ge 1}\frac{\boldsymbol{m}(e^{2\pi i x_n})}{\sqrt{\varphi(x_n)}} \end{align} $$
for all
$x\in \mathbb {R}$
. Hence,
$\vert \tilde {\phi }(x)\vert ^2=\prod _{n\ge 1}D(e^{2\pi ix_n})$
,
$\tilde {\phi }(x)=\phi (e^{2\pi ix})$
for all
$x\in [-1/2,1/2)$
, and
$\tilde {\phi }(x)=(\prod _{i=1}^n \mathfrak {u}(e^{2\pi ix_i}))\tilde {\phi }(x_n)$
for all
$n\ge 1$
. Moreover, if (13-3) is satisfied, then
$\vert \tilde {\phi }(0)\vert =1$
.
Example 13.6. Assume that
$\varphi :[0,1]\to \mathbb {R}$
is the constant function
$\varphi (t)=2$
for all
$x\in [0,1]$
. Then, the local homeomorphism
$\sigma :\mathbb {T}\to \mathbb {T}$
is given by
$\sigma (z)=z^2$
. Moreover,
$\psi (z)=1/2$
and
$\mathcal {L}_\psi $
is the standard transfer operator. Then, a
$\psi $
-filter is a classical filter and, if it satisfies the hypotheses of Lemma 13.4, it is a QMF filter in the sense of Mallat. If
$x\in \mathbb {R}$
, then
$x_n=x/2^n$
for all
$n\ge 1$
. The scaling function
$\tilde {\phi }$
is given by the same equation as in [Reference Mallat23, Theorem 2]:
$$ \begin{align*} \tilde{\phi}(x)=\prod_{n\ge 1}\mathfrak{u}(e^{2\pi i x/2^n})=\prod_{n\ge 1}\frac{\boldsymbol{m}(e^{2\pi i x/2^n})}{\sqrt2} \end{align*} $$
and it satisfies the
$2$
-scaling property:
$\tilde {\phi }(2x)=m(e^{2\pi i x})/\sqrt 2\tilde {\phi }(x)$
for all
$x\in \mathbb {R}$
. This example generalizes immediately to the function
$\varphi (t):=N\ge 2$
. In this case, the scaling function has the well-known form
$$ \begin{align*} \tilde{\phi}(x)=\prod_{n\ge 1}\mathfrak{u}(e^{2\pi i x/N^n})=\prod_{n\ge 1}\frac{\boldsymbol{m}(e^{2\pi i x/N^n})}{\sqrt{N}} \end{align*} $$
and it satisfies the N-scaling property:
$\tilde {\phi }(Nx)=m(e^{2\pi i x})/\sqrt {N}\tilde {\phi }(x)$
for all
$x\in \mathbb {R}$
.
The following theorem is a generalization of Mallat’s [Reference Mallat23, Theorem 2] to our more general set-up.
Theorem 13.7. Assume the hypotheses of Lemma 13.4. Then, the function
$\tilde {\phi }: \mathbb {R}\to \mathbb {R}$
defined in (13-7) is a unit vector in
$L^2(\mathbb {R})$
and
$$ \begin{align*} \sum_{j\in\mathbb{Z}}\vert\tilde{\phi}(x+j)\vert^2=1 \quad\text{ for all }\,x\in [-1/2,1/2). \end{align*} $$
The proof is completed using a series of lemmas.
Lemma 13.8. For
$m\ge 1$
, let
$$ \begin{align*} \tilde{\phi}_m(x)=\begin{cases} \displaystyle \prod_{i=1}^m\mathfrak{u}(x_i) & \displaystyle\text{if }\ \vert x\vert \le \frac{N^m}2,\\ 0 & \text{otherwise}, \end{cases} \end{align*} $$
and let
$ I_m:=\int _{-(({N^m})/{2})}^{({N^m})/{2}} \vert \tilde {\phi }_m(x)\vert ^2\,dx$
. Then,
$I_m=1$
for all
$m\ge 1$
.
Proof. Let
$m\ge 1$
. For
$x\in [-1/2,1/2)$
, let
The cardinality of
$J_{m,x}$
equals
$N^m$
for all
$x\in [-1/2,1/2)$
. For each
$j\in J_{m,x}$
, let
${y_j\in [-1/2,1/2)}$
be the mth term in the sequence
$(x_n)_{n\ge 0}$
corresponding to
$x+j$
. Then,
$\sigma ^m(e^{2\pi i y_j})=e^{2\pi i x}$
for all
$j\in J_{m,x}$
. Therefore,
$\{e^{2\pi i y_j}\}_{j\in J_{m,x}}$
is the set of pre-image points of
$e^{2\pi i x}$
under
$\sigma ^m$
. (Once again, while
$y_j$
depends on x, we do not write explicitly the dependence in the notation.) Therefore,
$$ \begin{align*} \int_{-({(N^m)}/{2})}^{({N^m})/{2}} \vert \tilde{\phi}_m(x)\vert^2\,dx =\int_{\mathbb{T}} \sum_{\sigma^m(w)=z} D_m(w)\,d\mu(z)=1 \end{align*} $$
since
$D_m$
is the normalized potential of
$\mathcal {L}_D^m$
.
Lemma 13.9. With the notation as above,
$\vert \tilde {\phi }(0)\vert ^2=1$
and
$\vert \tilde {\phi }(j)\vert ^2=0$
for all
$j\in \mathbb {Z}\setminus \{0\}$
.
Proof. The fact that
$\vert \phi (0)\vert =1$
was proved in Lemma 13.4. Let
$j\in \mathbb {Z}\setminus \{0\}$
. Assume first that
$j\in [-N/2,N/2)$
(using the notation from the proof of Lemma 13.8,
$j\in J_{1,0}$
). Let
$y_j\in [-1/2,1/2)$
such that
$\int _0^{y_j}\varphi (t)\,dt=j$
. Therefore,
$y_j$
equals the term
$x_1$
of the sequence
$\{x_n\}_{n\ge 0}$
used to define
$\tilde {\phi }(j)$
. Since
$\sigma (e^{2\pi i y_j})=e^{2\pi i j}=1$
, it follows that
$D(e^{2\pi i y_j})=0$
(see the second part of Remark 13.5). Hence,
$\tilde {\phi }(j)=0$
.
Assume that
$j\in [-N/2+kN,N/2+kN)$
for some
$k\in \mathbb {Z}\setminus \{0\}$
. Then,
$j-kN\in [-N/2,N/2)$
. If
$y_j\in [-1/2,1/2)$
is such that
$\int _0^{y_j}\varphi (t)\,dt =j-N$
, then the term
$x_1$
of the sequence
$(x_n)_{n\ge 0}$
used to define
$\tilde {\phi }(j)$
equals
$y_j+k$
since
$\int _0^1 \varphi (t)\,dt=N$
. Therefore,
$D(e^{2\pi i(y_{j}+k)})=D(e^{2\pi iy_j})=0$
and, thus,
$\tilde {\phi }(j)=0$
.
Proof of Theorem 13.7.
The fact that
$\tilde {\phi }\in L^2(\mathbb {R})$
and
$\Vert \tilde {\phi }\Vert _2=1$
follows from Lemma 13.8, Proposition 10.1, and Fatou’s lemma.
Let
$x\in [-1/2,1/2)$
. For
$m\ge 1$
, we use the notation from the proof of Lemma 13.8:
$J_{m,x}=\{j\in \mathbb {Z}\,\mid\,x+j\in [-N^m/2,N^m/2)\}$
and
$y_j$
is the mth term of the sequence
$\{x_n\}_{n\ge 0}$
that defines
$x+j$
for all
$j\in J_{m,x}$
. Then,
$$ \begin{align*} \sum_{k=-N^m/2}^{N^m/2}\vert \tilde{\phi}(x+k)\vert^2=\sum_{j\in J_{m,x}} D_m(y_j)\vert \tilde{\phi}(y_j)\vert^2. \end{align*} $$
One can prove inductively that
$\vert y_j\vert \le (N/2)/\underline {\varphi }^m$
for all
$j\in J_{m,x}$
, where, as before,
${\underline {\varphi }=\min _{t\in [0,1]}\varphi (t)>1}$
. Recall from the proof of Lemma 13.4 that Condition (13-5) implies that
$\tilde {\phi }$
is continuous at
$0$
and that
$\tilde {\phi }(0)=1$
by (13-3). Let
$\varepsilon>0$
and let
$\delta>0$
be such that
$\vert \vert \tilde {\phi }(t)\vert ^2-1\vert <\varepsilon $
for all
$t\in (-\delta ,\delta )$
. Then, there is
$M\ge 1$
such that
$\vert y_j\vert <\delta $
for all
$m\ge M$
(recall that
$y_j$
depends both on x and on m, but we suppressed the dependence in the notation). Lemma 13.9 implies
$$ \begin{align*} & \bigg\vert\! \sum_{k=-N^m/2}^{N^m/2}\vert \tilde{\phi}(x+k)\vert^2-1\bigg\vert=\bigg\vert \!\sum_{j\in J_{m,x}} D_m(y_j)\vert \tilde{\phi}(y_j)\vert^2-1\bigg\vert\\ & \quad =\bigg\vert \!\sum_{j\in J_{m,x}} D_m(y_j)(\vert \tilde{\phi}(y_j)\vert^2-1)\bigg\vert \le \sum_{j\in J_{m,x}} D_m(y_j)\vert \vert \tilde{\phi}(y_j)\vert^2-1\vert <\sum_{j\in J_{m,x}} D_m(y_j)\varepsilon=\varepsilon \end{align*} $$
for all
$m\ge M$
. Therefore,
$\sum _{j\in \mathbb {Z}}\vert \tilde {\phi }(x+j)\vert ^2=1$
for all
$x\in [-1/2,1/2)$
.
Next, we obtain the full generalization of Mallat’s theorem in our context and we construct multiresolution analyses with scaling functions of nonconstant scale. For this, we consider a unitary representation
$\hat {L}=(\mu ,\mathbb {T}*\mathcal {H},\hat {L})$
of the Deaconu–Renault groupoid
$G(\mathbb {T}, \sigma )$
, where, recall,
$\mu $
is the Hausdorff measure on
$\mathbb {T}$
. We continue to assume that
$\boldsymbol {m}$
is a
$\psi $
-filter that satisfies the hypotheses of Lemma 13.4. For simplicity and comparison with the previous results in the literature, assume that
$\hat {L}=\hat {\iota }$
is the standard fundamental representation on
$\mu $
:
$\hat {\iota }=(\mu ,\mathbb {T}\ast \mathbb {C},\hat {\iota }) $
. Therefore, the integrated form
$\mathfrak {I}$
of
$\hat {\iota }$
acts on
$L^2(\mathbb {T},\mu )$
and the isometry
$\tilde {S}_{\mathfrak {u}}=\mathfrak {I}(S_{\mathfrak {u}})$
is given by
$\tilde {S}_{\mathfrak {u}}\xi (z)=\boldsymbol {m}(z)\xi (\sigma (z))$
. That is,
We endow
$G_\infty (\mathbb {T},\sigma )$
with the Haar system
$\nu ^\psi *\lambda $
defined as in (6-3), where
$\nu ^\psi $
is the p-system of measures on
$X_\infty $
defined by the full unital potential
$\psi $
via (6-1). The unital potential
$D=\vert \mathfrak {u}\vert ^2$
defines, via the same formula, a p-system of measures
$\nu ^D$
on
$X_\infty $
that is not full. Recall that
$\nu ^D_u$
is absolutely continuous with respect to
$\nu ^\psi _u$
since
$D(z)=\vert \boldsymbol {m}(z)\vert ^2 \psi (z)$
for all
$z\in \mathbb {T}$
. Therefore, we can use the techniques of the paragraph after Proposition 3.2 and Section 8 to induce
$\hat {\iota }$
to a representation
$\hat {\iota }_\infty =(\mu _\infty ,\mathbb {T}_\infty \ast \mathbb {C},\hat {\iota }_\infty )$
of
$G_\infty (\mathbb {T},\sigma )$
. Moreover
$C^*(G_\infty (\mathbb {T},\sigma ),\nu ^\psi *\lambda )$
acts on the completion of
$C_c(X_\infty *G)$
under the
$C^*(\mathbb {T})$
-inner product defined in (4-5) via adjointable operators as in (4-6). Equations (8-2) and (4-7) imply that the unitary
$\tilde {U}_{\mathfrak {u}}:=\mathfrak {I}_\infty (U_{\mathfrak {u}})$
, where
$\mathfrak {I}_\infty $
is the integrated form of
$\hat {\iota }$
, acts on
$L^2(\mathbb {T}_\infty ,\mu _\infty )$
via
Theorem 13.10. Using the above notation, assume the hypotheses of Lemma 13.4. Let
$\phi :\mathbb {T}\to \mathbb {T}_\infty $
be the corresponding scaling function (10-2) and
$\tilde {\phi }:\mathbb {R}\to \mathbb {T}_\infty $
its lift defined via (13-7). Let
$\hat {\iota }=(\mu ,\mathbb {T}\ast \mathbb {C},\hat {\iota })$
be the standard fundamental representation on
$\mu $
of the Deaconu–Renault groupoid
$G(\mathbb {T},\sigma )$
and let
$\hat {\iota }_\infty =(\mu _\infty ,\mathbb {T}_\infty \ast \mathbb {C},\hat {\iota }_\infty )$
be the induced representation of the pullback groupoid
$G_\infty (\mathbb {T},\sigma )$
. Then, there is an isometric isomorphism
$R:L^2(\mathbb {T}_\infty ,\mu _\infty )\to L^2(\mathbb {R})$
that intertwines the unitary
$\tilde {U}_{\mathfrak {u}}$
and the unitary
$\mathfrak {U}_{\mathfrak {u}}$
on
$L^2(\mathbb {R})$
defined via the formula
$$ \begin{align} \mathfrak{U}_{\mathfrak{u}}(\xi)(x)=\sqrt{\varphi(x)}\xi\bigg(\int_0^x\varphi(t)\,dt\bigg) \end{align} $$
for all
$\xi \in L^2(\mathbb {R})$
.
Remark 13.11. A proof similar to the proof of [Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Theorem 6.4] shows that the pair,
$(L^2(\mathbb {T}_\infty ,\mu _\infty ),\tilde {U}_{\mathfrak {u}})$
, is the inductive limit of the inductive system
$(H_n,S_n)$
, where
${H_n=L^2(\mathbb {T},\mu )}$
and
$S_n=\tilde {S}_{\mathfrak {u}}$
for all
$n\ge 0$
(see also [Reference Larsen and Raeburn21]).
Proof. We prove the existence of the isometric isometry R. The remainder of the statements follow immediately. To prove the existence of R, we define a sequence of isometries
$R_n:L^2(\mathbb {T},\mu _n)\to L^2(\mathbb {R})$
such that
$R_{n+1}\tilde {S}_{\mathfrak {u}}=R_n$
for all
$n\ge 0$
. The conclusion follows from the universal properties of the inductive limit of Hilbert spaces.
Recall from the definition of
$\tilde {\phi }$
, (13-7), that for each
$x\in \mathbb {R}$
, we define the sequence
$\{x_n\}_{n\ge 0}$
where
$x_0=x$
and
$\int _0^{x_{n+1}}\varphi (t)\,dt=x_{n}$
for all
$n\ge 0$
. Define
$R_n:L^2(\mathbb {T},\mu )\to L^2(\mathbb {R})$
via
$$ \begin{align*} R_n(f)(x)=\frac1{\sqrt{\varphi(x_n)\cdots \varphi(x_1)}}f(e^{2\pi i x_n})\tilde{\phi}(x_n) \end{align*} $$
for all
$x\in \mathbb {R}$
,
$f\in L^2(\mathbb {T},\mu )$
, and
$n\ge 0$
. For
$n=0$
, we assume that the denominator of the fraction is
$1$
. It is relatively easy to check that
$R_{n+1}\tilde {S}_{\mathfrak {u}}=R_n$
:
$$ \begin{align*} (R_{n+1}\tilde{S}_{\mathfrak{u}})(f)(x) & =\frac1{\sqrt{\varphi(x_{n+1})\cdots \varphi(x_1)}}\tilde{S}_{\mathfrak{u}}(f)(e^{2\pi i x_{n+1}})\tilde{\phi}(x_{n+1})\\ & =\frac1{\sqrt{\varphi(x_n)\cdots \varphi(x_1)}}f(e^{2\pi i x_n})\frac{m(e^{2\pi i x_{n+1}})}{\sqrt{\varphi(x_{n+1})}}\tilde{\phi}(x_{n+1})\\ & =\frac1{\sqrt{\varphi(x_n)\cdots \varphi(x_1)}}f(e^{2\pi i x_n})\tilde{\phi}(x_n)=R_n(f)(x). \end{align*} $$
We prove next that
$R_n$
is an isometry for all
$n\ge 1$
. Let
$f\in L^2(\mathbb {T},\mu )$
. Then,
$$ \begin{align*} \Vert R_n(f)\Vert_2^2=\int_{-\infty}^\infty \frac{1}{\varphi(x_n)\cdots \varphi(x_1)}\vert f(e^{2\pi i x_n})\vert^2 \vert \tilde{\phi}(x_n)\vert^2\,dx. \end{align*} $$
We claim that
$$ \begin{align*} \Vert R_n(f)\Vert_2^2=\int_{-1/2}^{1/2} \vert f(e^{2\pi ix})\vert^2 \bigg( \sum_{j\in \mathbb{Z}}\vert \tilde{\phi}(x+j)\vert^2\bigg)\,d\mu(x). \end{align*} $$
We prove this claim first for
$n=1$
for simplicity. We use the notation from the proof of Lemma 13.8. Let
$x\in [-1/2,1/2)$
and let
$\{y_j\}_{j\in J_{1,x}}\in [-1/2,1/2)$
be the roots of x under
$\sigma $
:
$\int _0^{y_j}\varphi (t)\,dt=x+j$
for all
$j\in J_{1,x}$
. Then, since
$\mu $
is invariant for the transpose of the transfer operator
$\mathcal {L}_\psi $
, we have
$$ \begin{align*} & \int_{-N/2}^{N/2} \frac1{\varphi(x_1)}\vert f(e^{2\pi i x_1})\vert^2\vert \tilde{\phi} (x_1)\vert^2\,dx=\int_{-1/2}^{1/2} \sum_{j\in J_{1,x}}\frac{1}{\varphi(y_{j})}\vert f(e^{2\pi i y_{j}})\vert^2 \vert\phi(y_{j})\vert^2\,d\mu(x)\\ & \quad=\int_{-1/2}^{1/2} \mathcal{L}_\psi(\vert f\vert^2\vert \phi\vert^2)(x)\,d\mu(x)=\int_{-1/2}^{1 /2}\vert f(e^{2\pi i x})\vert^2\vert \phi(x)\vert^2\,d\mu(x). \end{align*} $$
Let
$k\in \mathbb {Z}$
such that
$k\ne 0$
and let
$x\in [-N/2+kN,N/2+kN)$
. Then,
$x-kN\in [-1/2,1/2)$
and we let
$\{y_j\}_{j\in J_{1,x-kN}}$
be the roots of
$x-kN$
under
$\sigma $
. It follows that if
$x_1$
is such that
$\int _0^{x_1}\varphi (t)\,dt=x+j$
,
$j\in J_{1,x-kN}$
, then
$x_1=k+y_{j}$
. Therefore,
$$ \begin{align*} & \int_{-N/2+kN}^{N/2+kN} \frac1{\varphi(x_1)}\vert f(e^{2\pi i x_1})\vert^2\vert \tilde{\phi}(x_1)\vert^2\,dx\\ & \quad=\int_{-1/2}^{1/2} \sum_{j\in J_{1,x-kN}}\frac{1}{\varphi(y_{j})}\vert f(e^{2\pi i y_{j}})\vert^2 \vert\tilde{\phi}(k+y_{j})\vert^2\,d\mu(x) =\int_{-1/2}^{1/2} \vert f(e^{2\pi i x})\vert^2\vert \tilde{\phi}(k+x)\vert^2\,d\mu(x). \end{align*} $$
The claim for
$n=1$
follows. For
$n\ge 2$
, one can repeat the same arguments using the n roots of x,
$\{y_j\}_{j\in J_{n,x}}$
, since
$\mu $
is invariant for the transpose of the transfer operator
$\mathcal {L}_\psi ^n$
for all
$n\ge 2$
. Thus,
$$ \begin{align*} & \int_{-\infty}^\infty \frac{1}{\varphi(x_n)\cdots \varphi(x_1)}\vert f(e^{2\pi i x_n})\vert^2 \vert \tilde{\phi}(x_n)\vert^2\,dx =\int_{-1/2}^{1/2} \vert f(e^{2\pi ix})\vert^2 \bigg( \sum_{j\in \mathbb{Z}}\vert \tilde{\phi}(x+j)\vert^2\bigg)\,d\mu(x). \end{align*} $$
Since
$\sum _{j\in \mathbb {Z}}\vert \tilde {\phi }(x+j)\vert ^2=1$
for all
$x\in [-1/2,1/2)$
by Theorem 13.7,
$R_n$
is an isometry for all
$n\ge 0$
and the conclusion follows.
Combining the above results with the proto-multiresolution analysis, one obtains multiresolution analyses in our set-up.
Theorem 13.12. Assume that
$\varphi :[0,1]\to \mathbb {R}$
satisfies the hypotheses described at the beginning of the section and let
$\sigma :\mathbb {T}\to \mathbb {T}$
be defined via
$\sigma (e^{2\pi i x})=e^{2\pi i\int _0^x\varphi (t)}\,dt$
. Assume that
$\mu $
is the Hausdorff measure on
$\mathbb {T}$
that is invariant for the transfer operator
$\mathcal {L}_\psi $
with potential
$\psi (e^{2\pi i x})=1/\varphi (x)$
. Fix a
$\psi $
-filter
$\boldsymbol {m}$
and assume that the function
$\mathfrak {u}\in C(X)$
,
$\mathfrak {u}(x)=\sqrt {\psi (x)}\boldsymbol {m}(x)$
satisfies the hypotheses of Lemma 13.4. Let
$\hat {\iota }=(\mu ,\mathbb {T}\times \mathbb {C},\hat {\iota })$
be the standard fundamental representation on
$\mu $
of
$G(\mathbb {T},\sigma )$
and let
$\hat {\iota }_\infty =(\mu _\infty ,\mathbb {T}_\infty ,\hat {\iota }_\infty )$
be the induced representation of
$G_\infty (\mathbb {T},\sigma )$
defined by
$D=\vert \mathfrak {u}\vert ^2$
. Let
$(\{\mathbb {E}_n\},U_{\mathfrak {u}})$
be the proto-resolution analysis in
$C_c(G_\infty (\mathbb {T},\sigma ),\nu ^\psi *\lambda )$
defined in the paragraph before Definition 9.2 and let
$\mathfrak {U}_{\mathfrak {u}}$
be the unitary in
$L^2(\mathbb {R})$
defined in (13-8). Set
$\mathcal {H}_n=i_\infty (\mathbb {E}_n)L^2(\mathbb {T}_\infty ,\mu _\infty )$
and
$\mathcal {V}_n:=R(\mathcal {H}_n)\subset L^2(\mathbb {R})$
. Then:
-
(1)
$\mathcal {V}_n\subseteq \mathcal {V}_m$
, when
$n\leq m$
; -
(2)
$\vee _{n=-\infty }^{\infty }\mathcal {V}_n=L^2(\mathbb {R})$
and
$\bigwedge \mathcal {V}_n=\{0\}$
; -
(3)
$\mathfrak {U}_{\mathfrak {u}}(\mathcal {V}_{n+1})=\mathcal {V}_n$
for all
$n\in \mathbb {Z}$
; -
(4)
$ R(i_\infty \circ \Phi (\cdot ))$
is reduced by
$\mathcal {V}_0\setminus \mathcal {V}_{-1}$
and the restriction is a representation of
$C_c(G)$
.
Thus,
$\{\mathcal {V}_n\}_{n\in \mathbb {Z}}$
is a multiresolution analyses in
$L^2(\mathbb {R})$
with possibly nonconstant scale.
Example 13.13.
-
(1) If
$\varphi (t)=2$
for all
$t\in [0,1]$
, then Theorems 13.7 and 13.10 recover Mallat’s theorem [Reference Mallat23, Theorem 2]. -
(2) If
$\varphi (t)=N\ge 2$
for all
$t\in [0,1]$
, and, thus,
$\sigma (z)=z^N$
, our results also capture known results in the literature. Since, as described in Remark 9.4,
$G_\infty (\mathbb {T},\sigma )$
can be constructed from
$G(X,\sigma )$
via a projective system, when one looks at the function spaces,
$(L^2(\mathbb {T}_\infty ,\mu _\infty ),\tilde {U}_{\mathfrak {u}})$
corresponds to the direct limit construction of [Reference Larsen and Raeburn21]. -
(3) If
$\sigma $
is the restriction of a finite Blaschke product (13-1), then under the assumption that
$ \sum _{i=1}^N ({1-\vert a_j\vert })/({1+\vert a_j\vert })>1$
,
$\sigma $
is an expansive local homeomorphism [Reference Martin24, Corollary on page 344]. Therefore, the Hausdorff measure
$\mu $
is the unique invariant measure for the dual of the transfer operator
$\mathcal {L}_\psi $
. One can easily find
$\psi $
-filters
$\boldsymbol {m}$
that satisfy the hypotheses of Lemma 13.4. Indeed, let
$m:\mathbb {T}\to \mathbb {C}$
be any continuous function such that
$m(1)\ne 0$
and
$m(e^{2\pi i r_j})=0$
for all
$j=1,\ldots ,N-1$
, where
$r_j$
,
$j=0,\ldots N-1$
, are the units of
$0$
with
$r_0=0$
as defined earlier in the section. Assume that
$m(z)\ne 0$
for all
$z\notin \{e^{2\pi i r_0},\ldots, e^{2\pi i r_{N-1}}\}$
and assume that m is smooth near
$0$
. Set
$\xi (z):=\sum _{\sigma (w)=z}\psi (w)\vert m(w)\vert ^2$
. Then, one can easily check that the function defined via is a
$$ \begin{align*} \boldsymbol{m}(z)=\frac{m(z)}{\sqrt{\xi(\sigma(z))}} \quad\text{for all }\,z\in\mathbb{T} \end{align*} $$
$\psi $
-filter that satisfies the required hypotheses.
13.1 An example of a generalized MRA without a scaling function
Lemma 13.4 was key to defining the scaling function
$\phi $
, which was the main ingredient in our identification of
$L^2(\mathbb {T}_\infty ,\mu _\infty )$
with
$L^2(\mathbb {R})$
. The next example shows that if the first hypothesis (13-3) of the lemma fails, then from the perspective of harmonic analysis,
$L^2(\mathbb {T}_\infty ,\mu _\infty )$
might be very different from
$L^2(\mathbb {R})$
. The main reason for this failure is the lack of a scaling function. The example recovers the wavelets on fractals of [Reference Dutkay and Jorgensen10] from our set-up.
Example 13.14. Let
$X=\mathbb {T}$
and
$\sigma :\mathbb {T}\to \mathbb {T}$
be defined via
$\sigma (z)=z^3$
. Consider the standard transfer operator
$\mathcal {L}$
given by the potential
$\psi (z)=1/3$
for all
$z\in \mathbb {T}$
. Consider the
$\psi $
-filter
$\boldsymbol {m}:\mathbb {T}\to \mathbb {C}$
defined via
$\boldsymbol {m}(z)=2^{-1/2}(1+z^2)$
for all
$z\in \mathbb {T}$
[Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Reference Dutkay and Jorgensen10] and let
$\mathfrak {u}(z)=\boldsymbol {m}(z)/\sqrt 3$
. Note that
$\vert \mathfrak {u}(z)\vert \le \sqrt 2/\sqrt 3$
and, thus, it does not satisfy Hypothesis (13-3). Hence, one cannot define a scaling function in the sense of Proposition 10.1. Consider the standard fundamental representation
$\hat {\iota }=(\mu ,\mathbb {T}\ast \mathbb {C},\hat {\iota })$
, where
$\mu $
is the Haar measure. Hence, the isometry
$\tilde {S}_{\mathfrak {u}}=\mathfrak {I}(S_u)$
on
$L^2(\mathbb {T},\mu )$
is given via
$\tilde {S}_{\mathfrak {u}}(\xi )(z)=\boldsymbol {m}(z)f(z^3)$
(see [Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Section 5]). Let
$\hat {\iota }_\infty =(\mu _\infty ^D, \mathbb {T}_\infty *\mathbb {C},\hat {\iota }_\infty )$
be the induced representation of
$G_\infty (\mathbb {T},\sigma )$
defined by the potential
$D(z)=\vert \mathfrak {u}(z)\vert ^2$
. Reference [Reference Baggett, Larsen, Packer, Raeburn and Ramsay3, Proposition 5.1] implies that
$(L^2(\mathbb {T}_\infty ,\mu _\infty ^D),\tilde {U}_{\mathfrak {u}})$
is unitarily equivalent to
$(L^2(\mathcal {R},\nu ),\mathfrak {U}_{\mathfrak {u}})$
, where
$\mathcal {R}$
is the ‘inflated’ Cantor set defined in [Reference Dutkay and Jorgensen10, Definition 1.1],
$\nu $
is the Hausdorff measure on
$\mathcal {R}$
, and
$\mathfrak {U}_{\mathfrak {u}}:L^2(\mathcal {R},\nu )\to L^2(\mathcal {R},\nu )$
is defined via
$\mathfrak {U}_{\mathfrak {u}}(\xi )(x)=2^{-1/2}\xi (x/3)$
. Thus, one recovers the MRA for the wavelets studied in [Reference Dutkay and Jorgensen10].
Acknowledgment
The views expressed in this paper are those of the authors and do not reflect the official policy or position of the U.S. Naval Academy, Department of the Navy, the Department of Defense, or the U.S. Government. The authors are very grateful to the referee who made suggestions that led to a substantial improvement of our original manuscript.






