Multichannel scattering theory for Toeplitz operators with piecewise continuous symbols
Alexander V. Sobolev, Dmitri Yafaev

TL;DR
This paper develops a spectral classification for Toeplitz operators with piecewise continuous symbols based on propagation properties, and establishes a scattering theory framework with asymptotic completeness of wave operators.
Contribution
It introduces a new spectral classification into thick, thin, and mixed spectra for such Toeplitz operators and proves the existence and completeness of related wave operators.
Findings
Spectral classification into three disjoint subsets: thick, thin, and mixed.
Existence of wave operators relating model operators to Toeplitz operators.
Orthogonal decomposition of the space via wave operators, ensuring asymptotic completeness.
Abstract
Self-adjoint Toeplitz operators have purely absolutely continuous spectrum. For Toeplitz operators with piecewise continuous symbols, we suggest a further spectral classification determined by propagation properties of the operator , that is, by the behavior of for . It turns out that the spectrum is naturally partitioned into three disjoint subsets: thick, thin and mixed spectra. On the thick spectrum, the propagation properties are modeled by the continuous part of the symbol, whereas on the thin spectrum, the model operator is determined by the jumps of the symbol. On the mixed spectrum, these two types of the asymptotic evolution of coexist. This classification is justified in the framework of scattering theory. We prove the existence of wave operators that relate the model operators with the Toeplitz operator . The ranges of…
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Holomorphic and Operator Theory · Differential Equations and Boundary Problems
Multichannel scattering theory for Toeplitz operators
with piecewise continuous symbols
Alexander V. Sobolev
University College London, Department of Mathematics, Gower Street, London WC1E 6BT, U.K.
and
Dmitri Yafaev
Univ Rennes, CNRS, IRMAR-UMR 6625, F-35000 Rennes, France and SPGU, Univ. Nab. 7/9, Saint Petersburg, 199034 Russia
(Date: 20 May 2019)
Abstract.
Self-adjoint Toeplitz operators have purely absolutely continuous spectrum. For Toeplitz operators with piecewise continuous symbols, we suggest a further spectral classification determined by propagation properties of the operator , that is, by the behavior of for . It turns out that the spectrum is naturally partitioned into three disjoint subsets: thick, thin and mixed spectra. On the thick spectrum, the propagation properties are modelled by the continuous part of the symbol, whereas on the thin spectrum, the model operator is determined by the jumps of the symbol. On the mixed spectrum, these two types of the asymptotic evolution of coexist. This classification is justified in the framework of scattering theory. We prove the existence of wave operators that relate the model operators with the Toeplitz operator . The ranges of these wave operators are pairwise orthogonal, and their orthogonal sum exhausts the whole space, i.e., the set of these wave operators is asymptotically complete.
Key words and phrases:
Toeplitz operators, discontinuous symbols, spectral classification, model operators, multichannel scattering, wave operators
2000 Mathematics Subject Classification:
Primary 47B35; Secondary 47A40
Our collaboration has become possible through the hospitality and financial support of the Departments of Mathematics of University College London and of the University of Rennes 1. The LMS grant is gratefully acknowledged. The first author was also supported by EPSRC grant EP/P024793/1. The second author was also supported by the Grant RFBR No. 17-01-00668 A and the Mittag-Leffler Institute
1. Introduction
1.1. Basic notions
The Toeplitz operator with symbol is defined on the Hardy space on the unit circle by the formula
[TABLE]
where is the orthogonal projection onto . The normalized Lebesgue measure on is denoted by . Throughout the paper we assume that , so that the operator is bounded. If is real-valued, then the operator is self-adjoint.
In the early 60’s M. Rosenblum (see [11, 12, 13]) established a number of fundamental spectral properties of self-adjoint Toeplitz operators . Namely if is a non-constant function, then is absolutely continuous and its spectrum fills the interval where
[TABLE]
Furthermore, M. Rosenblum (see also the paper [6] by R. S. Ismagilov) has constructed a spectral representation of and described its spectral multiplicity.
In this paper we consider Toeplitz operators with piecewise continuous symbols . It is natural to compare with the operator of multiplication by a piecewise continuous function on . The spectrum is the closure of the set . A point is an eigenvalue of if and only if the measure {\mathbf{m}}\big{(}\{\zeta\in\mathbb{T}:\omega(\zeta)=~{}\lambda\}\big{)} is positive. If is piecewise , then, apart from eigenvalues, the spectrum of is absolutely continuous, see Lemma 2.2. Also, the multiplicity of the spectrum is found as the number of solutions of the equation . In particular, the eigenvalues of can have only infinite multiplicity.
Our main aim is to construct scattering theory for Toeplitz operators with piecewise continuous symbols. We start, however, with the case of smooth symbols and prove the existence, isometry and completeness of the wave operators for the pair and the “identification” . In this case .
For general piecewise continuous symbols, may have gaps, so only the inclusion holds. At first glance, this looks counter-intuitive since is a compression of . The set splits into two disjoint subsets and . It turns out that the spectral nature of these two components is qualitatively different. In some sense, the spectrum of the Toeplitz operator is thin on , and it is thick (or mixed) on the set . We give precise definitions of these terms and prove corresponding results in the scattering theory framework, studying the asymptotic behaviour of the time evolution as for various .
1.2. Truncated Toeplitz matrices
Previously, Toeplitz operators with discontinuous symbols were extensively studied in a different context: instead of the operator one considered truncated Toeplitz matrices as . Here are defined as follows. Let be the subspace of all polynomials of degree , and let be the orthogonal projection onto . The operator acting on the space is defined by the formula . The difference between the two components of becomes clearly visible when one studies the asymptotics of the eigenvalue counting function for the matrix on an interval as . It is straightforward to deduce from the classical result in [4, Sect 5.2] the following formula. If \mathbf{m}\big{(}\{\zeta:\omega(\zeta)=a\}\big{)}=\mathbf{m}\big{(}\{\zeta:\omega(\zeta)=b\}\big{)}=0, then
[TABLE]
In particular, if , then the right-hand side is zero. This is consistent with our choice of the term “thin spectrum” for the set .
Starting with the pioneering Szegő’s paper [15], a substantial body of research was focused on the asymptotic behaviour of the determinants of the truncated Toeplitz matrices , as , with complex-valued . The case of discontinuous symbols attracted a special attention in connection with the so-called Fischer-Hartwig formula, see [3] and [2, 7].
1.3. Scattering theory framework
For smooth symbols , the asymptotic behaviour of the evolution as is described by the same formula for all . Precisely, for every there exists an such that
[TABLE]
where the symbol “” means that the difference of the left- and right-hand sides tends to zero.
To describe the evolution for discontinuous symbols , we distinguish three components of the spectrum . Assume that is continuous on apart from some finite subset . For each , we set
[TABLE]
and define
[TABLE]
Clearly,
[TABLE]
Denoting by , , the spectral projection of the operator , introduce the pair-wise orthogonal subspaces
[TABLE]
so that
[TABLE]
Definition 1.1**.**
The spectrum of the operator on the subspaces , and is said to be thin, thick and mixed respectively.
Up to sets of measure zero, these three components of the spectrum are disjoint. This yields a fine classification of the absolutely continuous spectra for Toeplitz operators with piecewise continuous symbols.
If the symbol is continuous, then so that . In this case and the whole spectrum is thick. On the other hand, if is piecewise constant (but not a constant function), then the Lebesgue measure and \mathcal{H}_{\rm thin}=\operatorname{Ran}E_{T}\big{(}\sigma(T)\big{)}=\mathbb{H}^{2}, i.e., the whole spectrum is thin.
Let us illustrate this partition of the spectrum using the example of symbol in Fig 1. According to Theorem 2.5, the spectrum of is simple. In this case the multiplicity of the spectrum of does not exceed , see Theorem 2.4. If for a spectral interval it equals , then the spectrum of on is thick. If it equals , then the spectrum of on is mixed. The gap in the spectrum of produces the thin spectrum of .
These definitions are justified in terms of the asymptotic behaviour of as for from each of these subspaces. If , then the asymptotic formula (1.3) holds. On the subspace , the evolution is modelled by the Toeplitz operators with symbols that are step functions on . Here we use that for symbols which are indicators of arcs, the operator admits an explicit representation, see Sect. 4. On the subspace , the evolution is, asymptotically, a linear combination of evolutions for the thin and thick cases.
A surprising fact is that, for , the asymptotic behaviour of as qualitatively depends on the sign of . For instance, the evolution may be “thick” for one of the signs and “thin” for the other sign. This phenomenon is discussed in Section 5.4.
The difference between thick and thin spectra manifests itself also in the structure of the continuous spectrum eigenfunctions. As discussed in Sect. 2.3, an arbitrary Toeplitz operator with a simple spectrum can be reduced to the multiplication operator by in the space by a unitary operator defined by a formal relation
[TABLE]
This means that for any ,
[TABLE]
The functions satisfy the equation , in an appropriate generalized sense (see [14, Sect. 5] for details of this construction), and hence can be interpreted as eigenfunctions of the operator . We note that
– eigenfunctions of the thick spectrum have stronger singularities than those of the thin one,
– on the thick spectrum, the position of singularities depends on the spectral parameter while on the thin spectrum, singularities are located at the points of discontinuity irrespectively of the value of .
In Section 2.5 we consider two examples where eigenfunctions are given by explicit formulas: one with a smooth symbol, and the other one with a symbol which is the indicator of an arc of . For brevity we call such symbols indicator type symbols. In the first case the entire spectrum is thick, and in the second case the entire spectrum is thin.
1.4. Analytic background
We study the evolution by investigating wave operators for the pairs and . Our main results are the existence and completeness of an appropriate set of wave operators.
From the analytic point of view, our approach comprises three ingredients:
- (i)
To investigate the thick spectrum, we use trace class scattering theory which allows us to prove the existence of the wave operators for the pair . In the case of smooth symbols, the trace class framework yields also the completeness of these wave operators. 2. (ii)
For the thin spectrum, we rely on Cook’s criterion which leads to the existence of wave operators for the pairs with model Toeplitz operators whose symbols are appropriately chosen step functions. 3. (iii)
In contrast to the smooth case, where there is only one scattering channel described by formula (1.3), for symbols with discontinuities each jump creates a new scattering channel. Thus our final task is to show asymptotic completeness, that is to prove that the constructed scattering channels exhaust the whole space. Our proof of the asymptotic completeness relies on the results on spectral multiplicity of Toeplitz operators.
1.5. Related problems
We mention two such problems. The first one is the three-particle (and more generally, a multi-particle) quantum-mechanical problem. In this problem, it also makes sense to classify bands of the spectrum as being “thick” or “thin”, although the precise meaning of these terms is, of course, different from the one introduced above for Toeplitz operators. The “thick” spectrum describes scattering states where all particles are asymptotically free, while the “thin” spectrum corresponds to scattering of one of the particles on a bound state of the other two. The “thin” spectrum has essentially two-particle nature.
The second problem is scattering theory for Hankel operators with discontinuous symbols. While Hankel operators with smooth symbols are compact, they acquire an absolutely continuous spectrum if their symbols have jumps. This phenomenon has been known in concrete examples, such as the Carleman operator, see [8, Chapter 10]. A general spectral theory of Hankel operators with discontinuous symbols was built in [9]. Interestingly, continuous spectrum eigenfunctions of Hankel (see [9, Sect. 4]) and Toeplitz operators with discontinuous symbols have singularities of the same type.
1.6. Structure of the paper
The paper is organized as follows. In Sect. 2, we collect known facts about Toeplitz operators necessary for the rest of the paper. In particular, we describe in Theorem 2.5 the spectral multiplicity of operators with piecewise continuous symbols in terms adapted to our applications to scattering theory. In Sect. 3, we provide some general information about the trace class scattering theory. Then we investigate wave operators for the pair . This is already sufficient for construction of scattering theory for Toeplitz operators with smooth symbols (see Theorem 3.17). Sect. 4 focuses on wave operators for symbols with jump discontinuities. This requires an analysis of the propagator of the model Toeplitz operator, i.e., operator with an indicator type symbol. In Sect. 5, we prove the asymptotic completeness of the set of wave operators constructed in the previous sections. The main result is stated as Theorem 5.9.
1.7. Notation
The symbol is used to denote the unit disk . On we define the standard measure , . For any , we denote by the open arc joining and counterclockwise. For a function defined on , the notation stands for the limit , if it exists. Let be the indicator of a set ; the operator in of multiplication by this function is also denoted by .
Denote by the discrete Fourier transform:
[TABLE]
Considered as a mapping of onto , the operator is unitary. The notation stands for the Hardy classes
[TABLE]
As a rule, we set . By we denote the orthogonal projection from onto . Usually we use the standard realization of as the space of functions that are analytic on the disk and such that the -norms are bounded uniformly in ; see, for example, the book [5].
It is often convenient to identify with by writing for each . Thus with every arc we associate an interval , and write . Under this change of variables we have . Throughout the paper we use the notation . It is also convenient to set .
Let be a self-adjoint operator on a Hilbert space . By we denote its spectral projection associated with a Borel set ; is the absolutely continuous subspace of ; is the orthogonal projection on and is the restriction of the operator on .
Let an operator and an interval be such that the operator is absolutely continuous. Suppose that there exists a Hilbert space and a unitary mapping such that the operator acts as multiplication by independent variable on the space . Then we say that the spectral representation of is realized on . We denote by the multiplicity of the spectrum of on .
By (with or without indices) we denote various positive constants whose precise values are of no importance.
Unless stated otherwise, throughout the whole paper we assume that is a real-valued non-constant function and that .
2. Spectral analysis of Toeplitz and multiplication operators
In this section we study spectra of Toeplitz and multiplication operators for piecewise continuous symbols .
2.1. Multiplication operators
Spectral analysis of the multiplication operator is elementary. It is based on the simple relation valid for any Borel set . The next two lemmas are straightforward.
Lemma 2.1**.**
*Let be an open set. Suppose that and for . Then so that the spectrum of the operator restricted to the subspace is absolutely continuous. Moreover, if is an arc, then this spectrum is simple. *
Proof.
Let be an arc, and let . Define the unitary operator by the formula
[TABLE]
Since for , the restriction of the operator to is unitarily equivalent to the operator of multiplication by on . This concludes the proof for arcs . In the general case, we only have to apply the result obtained to every constituent arc of . ∎
Lemma 2.2**.**
*Let be an open set of full measure. Suppose that . Let *
[TABLE]
Then
[TABLE]
Proof.
Since and is a union of disjoint sets, we have
[TABLE]
It follows from Lemma 2.1 that
[TABLE]
By Sard’s theorem, whence . Since
[TABLE]
we infer that
[TABLE]
Putting together (2.3) and (2.4), (2.5), we conclude the proof of (2.2). ∎
Further results can be obtained under more specific assumptions on the symbol .
2.2. Piecewise continuous symbols
From now on we assume that the symbol is piecewise continuous in the following sense.
Condition 2.3**.**
- (i)
* and is not a constant function,* 2. (ii)
There exists a finite set such that , 3. (iii)
The limits , exist for all . For every , either or but the derivative is not continuous at .
Let the sets and the critical set be as defined in (2.1) with . The image consists of critical values of . As already observed earlier, by Sard’s theorem, the Lebesgue measure . We introduce also the “threshold” set which consists of all values , , and define the exceptional set
[TABLE]
Since the set is finite, . Moreover, the set is closed (see [14, Lemma 6.2]).
Let us fix an interval such that
[TABLE]
where are defined in (1.2). Note that on . Consider the open set
[TABLE]
The open set is a union of some number, denoted , of disjoint open arcs such that for . Observe that , and , . In particular, we see that ; see Fig. 2 for illustration. It follows that
[TABLE]
where
[TABLE]
Of course, the arcs and the numbers depend on the chosen interval . It is easy to show (see [14, Lemma 6.4]) that under assumption (2.6) the numbers are finite.
Let us now calculate the spectral multiplicity of the multiplication operator on the interval .
Theorem 2.4**.**
Suppose that satisfies Condition 2.3, and that an interval satisfies condition (2.6). Let the numbers be defined by formula (2.9). Then the spectral representation of the operator restricted to the subspace is realized on the space . In other words, the spectral multiplicity of the operator on equals .
Proof.
It follows from equality (2.8) that
[TABLE]
According to Lemma 2.1 the spectrum of the operator on each of disjoint arcs is simple. Since for each , the spectral multiplicity of on equals , as required. ∎
2.3. Toeplitz operators: diagonalization
As explained in [14], the Toeplitz operator can be diagonalized by a unitary operator whose integral kernel is given by the generalized eigenfunctions of . In the simple spectrum case, the operator has one generalized eigenfunction , , a.e. , and the unitary operator is defined by the formula
[TABLE]
which is a more precise version of (1.6). The adjoint operator is given by the formula
[TABLE]
for all . Thus, in view of (1.7), the representation
[TABLE]
holds. Here we do not discuss the eigenfunctions in greater detail since for our purposes we need the representation (2.11) only for the singular symbol (2.17), for which is found explicitly, see (2.18).
2.4. Toeplitz operators:
piecewise continuous symbols
Now we turn our attention to Toeplitz operators with piecewise continuous symbols. Let consist of such that
[TABLE]
and let be the set of those where but the derivative is not continuous at the point . Thus is the disjoint union
[TABLE]
We associate with every discontinuity the interval (the “jump”):
[TABLE]
cf. (1.4). The condition (2.6) guarantees that for all , and hence each interval either contains , or is disjoint from . We are interested only in those singular points , for which , and we denote this subset by . Introduce also the notation and put
[TABLE]
Note that . All these objects are illustrated in Fig. 2.
Now we are in a position to quote [14, Theorems 6.5, 6.6].
Theorem 2.5**.**
Suppose that satisfies Condition 2.3, and that an interval satisfies condition (2.6). Let the numbers and be defined by (2.9) and (2.14), respectively. Then and the spectral representation of the operator restricted to the subspace is realized on the space where
[TABLE]
for both signs . In other words, the spectral multiplicity of on is finite and it coincides with the number (2.15).
By this theorem, the spectrum of the Toeplitz operator with the symbol in Fig. 2 has multiplicity two on .
2.5. Examples
Let us give two examples illustrating Theorem 2.5. Both examples were mentioned in [12] and discussed in more detail in [14].
Example 2.6*.*
First we consider the regular symbol
[TABLE]
for which . Now we have , , , , , , . By Theorem 2.5, the spectrum of the operator is simple, and, according to Definition 1.1, it is thick.
The eigenfunctions of the Toeplitz operator equal
[TABLE]
They are singular at the points
[TABLE]
Note that function (2.16) belongs to the Hardy class for any but .
Example 2.7*.*
The simplest singular symbol is given by the indicator
[TABLE]
of an arc ; then . Now we have , , , and , , . By Theorem 2.5, the spectrum of the operator is again simple, and, according to Definition 1.1, it is thin.
The eigenfunctions of the Toeplitz operator equal
[TABLE]
where
[TABLE]
and
[TABLE]
As mentioned in the Introduction, formulas (2.16) and (2.18) show that the eigenfunctions of the Toeplitz operators have stronger singularities in the smooth case, and that in the singular case the location of these singularities is independent of .
3. Toeplitz versus multiplication operators. Smooth symbols
3.1. Scattering theory. Basic notions
We refer to the books [10] or [16] for detailed information.
Let and be self-adjoint operators in, possibly, different Hilbert spaces and , respectively, and let be a bounded operator.
Definition 3.1**.**
Under the assumption of their existence, the strong limits
[TABLE]
are called the wave operators for the pair of self-adjoint operators and and the “identification” .
Here and below all statements about the wave operators (as well as about other objects labelled by ) are understood as two independent statements.
Obviously, the wave operator exists if the limit as exists on a set of vectors dense in the subspace .
Let us list some elementary properties of wave operators following from the mere fact of their existence:
- (a)
The wave operators are bounded and
[TABLE] 2. (b)
The wave operators enjoy the intertwining property
[TABLE]
where is an arbitrary Borel set. 3. (c)
The ranges of the wave operators satisfy the inclusions
[TABLE]
and their closures are invariant subspaces of the operator . 4. (d)
If
[TABLE]
then . Thus, the wave operator is isometric on if condition (3.4) is satisfied for a set of vectors dense in . In particular, for the wave operators are isometric on . 5. (e)
If the operator is isometric on , then it follows from (b) that the restriction of the operator to the subspace is unitarily equivalent to the absolutely continuous part of the operator . 6. (f)
If , then
[TABLE]
For a given , the choice of satisfying (3.5) is in general not unique. One can set if the operator is isometric on . 7. (g)
If is compact, then as for all , so that .
Definition 3.2**.**
A wave operator is called complete if the equality holds in (3.3):
[TABLE]
If the operator is isometric on and complete, then the absolutely continuous parts and of the operators and are unitarily equivalent.
Let us note an important special case , (the identity operator). For short, we write . Of course, the operators are isometric on the subspace . The completeness of is equivalent to the existence of , and in this case
[TABLE]
3.2. Existence of wave operators
The following condition (known as Cook’s criterion) of the existence of wave operators (3.1) is quite elementary, but it requires the knowledge of the “free” evolution . In view of our applications, we assume that and are bounded operators.
Theorem 3.3**.**
Suppose that the operator is absolutely continuous and
[TABLE]
for a set of elements dense in . Then the corresponding wave operator exists.
On the contrary, the trace class method treats the operators and on an equal footing. The ideal of trace class operators is denoted by . First, we recall the classical Kato - Rosenblum theorem.
Theorem 3.4**.**
Suppose that , and . Then the wave operators exist, are isometric on and are complete, that is,
[TABLE]
An extension of this result to arbitrary is due to D. Pearson.
Theorem 3.5**.**
Suppose that
[TABLE]
Then the wave operators exist.
3.3. Duplex Toeplitz operators
Let us return to Toeplitz operators. Here we compare the Toeplitz operator defined by (1.1) with the multiplication operator by a bounded function ,
[TABLE]
acting on the space . In this subsection may be complex-valued. Recall that are the orthogonal projections in onto the Hardy spaces .
It is convenient to introduce on the duplex Toeplitz operator
[TABLE]
and the symmetrized Hankel operator
[TABLE]
(these operators are symmetric if ). Then
[TABLE]
Under very general assumptions on its symbol the operator is trace class, so that can be viewed as a perturbation of the multiplication operator .
Let be the restriction of the operator onto the subspace . Clearly, . Define the unitary operator on by the formula
[TABLE]
Evidently, and . The following fact is almost obvious.
Lemma 3.6**.**
Let . Then
[TABLE]
so that the operators and are unitarily equivalent.
Proof.
Since for all , we see that
[TABLE]
whence (3.9) follows. ∎
Thus, for a real-valued bounded , the operators and are absolutely continuous on and respectively, and is absolutely continuous on .
3.4. Smooth symbols
Recall one of the equivalent definitions of the Besov class : a function if
[TABLE]
A list of basic properties of the Besov spaces can be found in the book [8, Appendix 2.6]. For us, it is useful to remember that
[TABLE]
and that .
We need the well known criterion of V. V. Peller for a Hankel operator to be trace class. The function is not required to be real-valued here.
Theorem 3.7**.**
[8, Theorem 6.1.1]** The inclusion holds if and only if .
Corollary 3.8**.**
The symmetrized Hankel operator (3.7) satisfies
[TABLE]
if and only if .
Proof.
If , then and so that
[TABLE]
by Theorem 3.7. Conversely, inclusion (3.10) implies both inclusions (3.11), and hence and again by Theorem 3.7. ∎
Putting together Theorems 3.4 and 3.7, we obtain the following result for the self-adjoint duplex Toeplitz operator . Recall that this operator is absolutely continuous.
Theorem 3.9**.**
Suppose that . Then the wave operators exist, are isometric on the absolutely continuous subspace of and are complete, that is,
[TABLE]
In view of the general property (3.2), we also have
Corollary 3.10**.**
The intertwining property
[TABLE]
holds, and the operator is unitarily equivalent to the absolutely continuous part of the operator .
Theorem 3.9 leads to the following result for the Toeplitz operators on the subspaces .
Corollary 3.11**.**
Let . Then, for both signs , the wave operators
[TABLE]
exist and
[TABLE]
Furthermore, the relations
[TABLE]
hold true.
Proof.
In view of definition (3.6), the existence of wave operators on the right-hand side of (3.13) and the formula (3.13) itself follow from Theorem 3.9 due to the identities and
[TABLE]
These relations, together with the completeness of , imply (3.14). ∎
According to (3.2), all wave operators constructed above possess the intertwining property, for example,
[TABLE]
The isometry of the wave operators (3.12) is discussed in Section 3.6 in a more general setting.
3.5. Local smoothness.
In the following assertion we do not assume that the symbol is smooth on the whole unit circle . We first consider the duplex Toeplitz operator defined by (3.6).
Theorem 3.12**.**
Let and for some function . Denote by the operator of multiplication by in the space . Then the wave operators exist.
Proof.
According to Theorem 3.5 it suffices to check that
[TABLE]
By (3.8), we have
[TABLE]
Using definition (3.7) of the operator , we now see that (3.15) is equivalent to the inclusion
[TABLE]
Two terms here are quite similar. Consider, for example, the first one:
[TABLE]
According to Theorem 3.7 the operator because . Since , Theorem 3.7 also implies that
[TABLE]
It follows that the operator (3.17) is trace class which yields inclusions (3.16) and hence (3.15). ∎
Similarly to Corollary 3.11, we have
Corollary 3.13**.**
Under the assumptions of Theorem 3.12 the wave operators
[TABLE]
exist for both signs and
[TABLE]
Let us, finally, replace by the characteristic function of an arc .
Theorem 3.14**.**
Let , and let be an open arc. Suppose that for all functions . Then the “local” wave operators exist.
Proof.
The wave operators exist due to Corollary 3.13. The operator commutes with and , and hence so does . As a consequence,
[TABLE]
Since is dense in , the existence of W_{\pm}\big{(}T(\omega),\boldsymbol{\Omega};\mathbb{P}\mathbbm{1}_{\Delta}\big{)} follows. ∎
3.6. Isometry of wave operators
We start with a relatively standard (cf., for example, [16, Lemma 2.6.4]) analytic result. Recall that . As usual, we use the notation , .
Lemma 3.15**.**
Let be an arc. Suppose that and for . Then
[TABLE]
and
[TABLE]
Proof.
Let us check, for example, (3.20). Let be the discrete Fourier transform defined in (1.8). For all , we have
[TABLE]
Let us use the representation
[TABLE]
where , and is an interval such that . Assuming that , that is, , we integrate by parts to get
[TABLE]
Using that on and , we obtain the bound
[TABLE]
Furthermore, the condition ensures that and hence . Thus (3.23) yields an estimate
[TABLE]
Substituting this estimate into (3.22) where , we see that
[TABLE]
Since is dense in , this leads to (3.20). Relation (3.21) can be checked quite similarly. ∎
Let us discuss now the isometry of the “local” wave operators where, as usual, . Under the assumptions below their existence follows from Theorem 3.14 because if and .
Theorem 3.16**.**
Let for some arc . If for , then the operator is isometric on and
[TABLE]
Proof.
Equality (3.24) follows directly from (3.20). Similarly, relations (3.21) imply that Since (cf. (3.19))
[TABLE]
we see that
[TABLE]
By property (d) of wave operators (see Section 3.1), the operator on the right is isometric on because according to Lemma 2.1. Hence the same is true for the operator on the left. ∎
3.7. Main result for smooth symbols.
The results obtained so far can be summarized in the following two theorems. Recall that the sets were defined in (2.1).
Theorem 3.17**.**
Suppose that and that for some open set of full measure. Then
- (i)
the wave operators exist, and the intertwining property
[TABLE]
holds. 2. (ii)
The operators are isometric on or, equivalently,
[TABLE]
Moreover, the relations
[TABLE]
are satisfied. 3. (iii)
The restriction of the Toeplitz operator to the subspace
[TABLE]
of is unitarily equivalent to the multiplication operator on the subspace of .
Proof.
The wave operators exist by Theorem 3.16. This implies the existence of because the set has full measure. The intertwining property is a direct consequence of the existence of wave operators, see (3.2). By (2.2) we have the equality
[TABLE]
Now relations (3.25) and (3.26) follow from Theorem 3.16 applied separately to and to . ∎
The next assertion shows that if , then the wave operators are complete.
Theorem 3.18**.**
If , then all conclusions of Theorem 3.17 are true and
[TABLE]
or, equivalently,
[TABLE]
the identity operator on . In this case the operators and the restriction of to are unitarily equivalent.
Proof.
The completeness (3.27) is equivalent to the first equality (3.14). ∎
Let us state two consequences of this result. The first one concerns the spectral multiplicity of the Toeplitz operator .
Corollary 3.19**.**
Let an interval satisfy condition (2.6), and let the numbers be defined by formula (2.9). Then and the spectral representation of the operator is realized on the space . In other words, the spectral multiplicity of the operator on equals .
Proof.
According to Theorem 2.4 the spectral multiplicity of the operator on equals . It follows from Theorem 3.18 that the same statement is true for the operator . This automatically implies that . ∎
The second corollary is a direct consequence of the asymptotic completeness (3.27).
Corollary 3.20**.**
For every asymptotic relation (1.3) with is satisfied where necessarily
[TABLE]
For example, we can set .
Theorem 3.18 and its corollaries conclude our construction of scattering theory for Toeplitz operators with smooth symbols . Since , the spectra of such Toeplitz operators are thick (see Definition 1.1). Note also that the scattering theory approach presented here gives (see Corollary 3.19) an independent proof of Theorem 2.5 for smooth symbols.
If the symbol has jump discontinuities, then the equality (3.27) is no longer true. To ensure the asymptotic completeness in this case, we need to take into account the wave operators produced by jumps of . Such wave operators will be constructed in the next section.
4. Jump discontinuities. A model operator
4.1. A model singularity
As a model operator, we choose the Toeplitz operator whose symbol has two jumps at the points and . The unitary operator , diagonalizing , is given by formula (2.10) with defined in (2.18). We suppose that so that also where is given by (2.20). The integral (2.11) takes the form
[TABLE]
where
[TABLE]
with the real-valued defined by (2.19).
We are interested in the behaviour of the function (4.1) as . It is natural to expect that neighborhoods of the points and give the main contributions to the asymptotics of (4.1). To see this, we have to estimate the integral in (4.2). Note that and hence
[TABLE]
Lemma 4.1**.**
Suppose that . Then for all , we have the estimate
[TABLE]
with a constant independent of and . In particular, if and , then
[TABLE]
Proof.
Using that and integrating in (4.2) by parts times, we get
[TABLE]
Taking into account (4.3), we see that the derivative under the integral sign does not exceed
[TABLE]
In view of (4.1), this leads to the required bound. ∎
This lemma shows that “lives” in neighborhoods of the points and as . This result can be made more precise if one takes into account the dependence on the sign of as .
Lemma 4.2**.**
Let , for and , for . Assume that and . Then for all , we have the estimates
[TABLE]
with a constant independent of and .
Proof.
Consider, for example, the case , , . The integral (4.2) can be rewritten as
[TABLE]
Integrating by parts once, we see that
[TABLE]
where . Since , we have
[TABLE]
so that
[TABLE]
We also have the estimate . Using also (4.3) we conclude that the integral (4.6) is bounded by . Further integrations by parts show that
[TABLE]
for all . Substituting this estimate into (4.1), we get (4.5) for . ∎
Corollary 4.3**.**
Let for and for . Then
[TABLE]
for all if is sufficiently small.
Thus the function tends to concentrate near (resp. ) as (resp. ).
4.2. Jump discontinuities
Here we consider symbols with a jump discontinuity at some point . We suppose that both one-sided limits
[TABLE]
exist, , and
[TABLE]
as . Pick some and define the symbol by
[TABLE]
and
[TABLE]
Now we apply the results of Section 4.1 to the unitary group . Note that
[TABLE]
and
[TABLE]
Theorem 4.4**.**
Let , and let condition (4.7) be satisfied for some numbers . Define the symbol by the formula (4.8) or (4.9). If , then the wave operator exists.
Proof.
Consider, for example, the wave operator for the case and set . According to Theorem 3.3 it suffices to check that
[TABLE]
for functions such that . Let , be disjoint neighbourhoods of the points , and
[TABLE]
Lemma 4.1 and Corollary 4.3 show that
[TABLE]
In a neighborhood of the point , we use condition (4.7) so that
[TABLE]
and hence in view of (4.4)
[TABLE]
If , then the right-hand side is in , and it follows that
[TABLE]
Since , we can choose . Combining estimates (4.13) and (4.14), we see that the integral (4.12) converges. ∎
Remark 4.5*.*
The symbol depends on , and hence so does the wave operator . However this dependence is trivial. Indeed, for two different positive and , we have
[TABLE]
where we have set , , for short. By Theorem 4.4, the left-hand side and the first factor on the right converge, as , to and , respectively. Again by Theorem 4.4, the second factor on the right converges to the operator
[TABLE]
so that
[TABLE]
Since and , the operators are unitary. Note that, by definitions (4.10) and (4.11), they do not depend on or .
Although we omit the dependence of the symbol on , we always keep in mind the relation (4.15).
4.3. Orthogonality of the channels
Let us show that the ranges of the wave operators constructed in Theorems 3.17 and 4.4 are orthogonal to each other. Consider first the wave operators corresponding to jumps of the symbol. Recall that, for an arc , the unitary operator is defined by formulas (1.6), (2.18).
Theorem 4.6**.**
Let , where for all . Suppose that, for some , the wave operators and exist. Then the subspaces
[TABLE]
of are orthogonal to each other.
Proof.
Denote T_{s}=T\big{(}\mathbbm{1}_{(\zeta_{1},\zeta_{2})}\big{)}, T^{\prime}_{s}=T\big{(}\mathbbm{1}_{(\zeta_{1}^{\prime},\zeta_{2}^{\prime})}\big{)}. It suffices to check that
[TABLE]
for all such that and . Let be a neighborhood of the set such that for both . Similarly, let be a neighborhood of the set such that for both . We split the integral in (4.16) over in three integrals: over , and , According to Lemma 4.1 , and both factors , as . This implies (4.16). ∎
Next, we compare the wave operators for the pair , with those for the pair .
Theorem 4.7**.**
Let and . Suppose that the wave operators and exist. Then the subspaces
[TABLE]
of are orthogonal to each other.
Proof.
It suffices to check that
[TABLE]
for all and all such that . Let be a real-valued function such that in -neighborhoods of the points and and away from -neighborhoods of these points. Put . Clearly,
[TABLE]
tends to [math] as uniformly in .
Thus, we only have to show that
[TABLE]
for a fixed . Recall that according to (3.18) the commutator
[TABLE]
is compact (actually, it belongs to the trace class). Thus property (g), see Sect. 3.1, implies that
[TABLE]
and hence it suffices to check that
[TABLE]
According to Lemma 4.1 we have the estimate
[TABLE]
whence (4.17) follows. ∎
5. Putting things together. Main result
Now we are in a position to develop scattering theory for Toeplitz operators with piecewise continuous symbols . From now on, we always assume that Condition 2.3 is satisfied with some finite set .
5.1. The existence of wave operators
Here, we state several immediate consequences of the results established in Sections 3 and 4.
The first theorem is a special case of parts (i) and (ii) of Theorem 3.17 with the set .
Theorem 5.1**.**
Suppose that Condition 2.3 is satisfied and that . Let the open sets be as defined in (2.1). Then the wave operators exist and are isometric on the subspaces . Moreover, they satisfy relations (3.26).
Next, we consider the wave operators produced by the discontinuities of . Let be the sets in the union (2.12). Every singular point (but not ) produces a new channel of scattering. Following the construction in Section 4.2, we choose an arbitrary and introduce auxiliary symbols
[TABLE]
and
[TABLE]
The Toeplitz operator has simple absolutely continuous spectrum that coincides with the interval defined in (2.13).
Theorem 4.4 implies the following result.
Theorem 5.2**.**
Suppose that the condition (4.7) holds at some point . Let the symbol be defined by relations (5.1+) or (5.1–). Then the wave operator exists and is isometric on .
Corollary 5.3**.**
The spectral representation of the operator restricted to the subspace is realized on the space .
Although symbols (5.1+) and (5.1–) depend on , Remark 4.5 shows that the dependence of on is trivial.
The next result follows from Theorems 4.6 and 4.7. It shows that different scattering channels are orthogonal to each other.
Theorem 5.4**.**
Let the assumptions of Theorem 5.1 hold. Suppose also that the condition (4.7) is satisfied at all points . Then the ranges for all are orthogonal to and are pairwise orthogonal to each other.
It follows from the above results that
[TABLE]
Our final objective is to establish the equality in (5.2). In other words, we intend to prove the asymptotic completeness of the wave operators involved.
5.2. Counting multiplicities
Our proof of the asymptotic completeness requires an elementary result of a general nature (cf. [17, Theorem 1.5.7]) concerning self-adjoint operators with finite spectral multiplicity.
Theorem 5.5**.**
Let be a self-adjoint operator on a Hilbert space , and let be its restriction to its invariant subspace . Suppose that, for some interval , both operators and , are unitarily equivalent to the operator of multiplication by independent variable on the space where . Then and .
Proof.
We may assume that and , a.e. . Since is a restriction of , it acts as multiplication by in the direct integral (see, for example, §§7.1, 7.2 of the book [1])
[TABLE]
where is a measurable family of some subspaces of . At the same time, is unitarily equivalent to multiplication by on the space . It follows that for a.e. . Since , we conclude that and hence and , as required. ∎
Corollary 5.6**.**
Let be a self-adjoint operator on a Hilbert space , and let , , , be its restrictions to pairwise orthogonal invariant subspaces . Suppose that, for some interval , the operators and , , are unitarily equivalent to the operators of multiplication by independent variable in the spaces , , and , , respectively. Assume that
[TABLE]
Then
[TABLE]
Proof.
It suffices to apply Theorem 5.5 to the subspace and the operator . ∎
5.3. Asymptotic completeness
In order to use Corollary 5.6 for the proof of the asymptotic completeness, we need to find spectral multiplicities for the operator restricted to the subspaces on the left-hand side of (5.2). The required result for is given by Corollary 5.3.
Let us now consider the first term in (5.2). Below we systematically use the intertwining property (3.2).
Lemma 5.7**.**
Suppose that the conditions of Theorem 5.1 hold, and that an interval satisfies (2.6). Then the spectral representation of the operator restricted to the subspace
[TABLE]
is realized on the space L^{2}\big{(}\Lambda;{\mathbb{C}}^{n^{(\pm)}}\big{)}.
Proof.
Let be defined by (2.7). By Theorem 2.4, the spectral representation of the operator restricted to is realized on the space . According to Theorem 5.1 and the intertwining property (3.2), the operator
[TABLE]
is unitary. Therefore the spectral multiplicities of the operators and on the interval coincide, and both equal . ∎
First, we verify a “local” form of the asymptotic completeness. Recall that the intervals are defined by (2.13), the subset is distinguished by the condition for , and .
Theorem 5.8**.**
Suppose that the symbol satisfies Condition 2.3 with some finite set , and that . Let be an interval satisfying (2.6), and assume that condition (4.7) holds at each point . Then the equality
[TABLE]
holds for both signs ” and ”.
Proof.
Note that the orthogonal sum over on the left-hand side of (5.4) contains terms. Thus, using the notation
[TABLE]
, and definition (5.3), we can rewrite (5.4) as
[TABLE]
In order to prove (5.5), we make the following observations. According to Lemma 5.7 the operator restricted to the subspace has spectral multiplicity . Similarly, Corollary 5.3 shows that, for every the operator on the subspace has spectral multiplicity .
Now we use Corollary 5.6 with the spaces ,
[TABLE]
the operators
[TABLE]
and multiplicities
[TABLE]
According to Theorem 2.5, the spectral multiplicity of the operator equals
[TABLE]
Thus Corollary 5.6 entails (5.5), which completes the proof. ∎
The next theorem constitutes the main result of the paper.
Theorem 5.9**.**
Suppose that the symbol satisfies Condition 2.3 with some finite set , and that . Assume that condition (4.7) holds at each point . Then
- (i)
The wave operators exist and satisfy relation (3.26). These operators are isometric on the subspaces of . 2. (ii)
Let , and let the symbols be defined by formulas (5.1+), (5.1–). Then the wave operators exist and are isometric. 3. (iii)
The ranges of all operators and are orthogonal to each other. 4. (iv)
The asymptotic completeness holds:
[TABLE]
for both signs ” and ”.
Proof.
Assertions (i), (ii) and (iii) are direct consequences of Theorems 5.1, 5.2 and 5.4, respectively.
Let us check (iv). Since is closed, the set is open. According to Theorem 5.8 the relation (5.4) is true for every constituent open subinterval of . For every such subinterval , the orthogonal sum over in (5.4) coincides with the sum over all . Indeed, if , then and hence, by the intertwining property (3.2), . Therefore summing relations (5.4) over all constituent subintervals of , we obtain this relation for the set itself:
[TABLE]
where , . Since the set has measure zero and the operator is absolutely continuous, we have . Thus (5.3) coincides with (5.6). ∎
5.4. Classification of the spectrum
Let us come back to the classification of the spectrum given by Definition 1.1. In this subsection we relate the subspaces defined in (1.5) with the subspaces on the left-hand side of (5.6). We suppose that the conditions of Theorem 5.9 are satisfied, and define the subspaces
[TABLE]
of .
The statement below (cf. Corollary 3.20) is a direct consequence of the definition of the wave operators.
Lemma 5.10**.**
For every , asymptotic relation (1.3) holds with . For every , asymptotic relation
[TABLE]
holds with .
Using Theorem 5.9 it is easy to find a relation between the thick and thin subspaces defined by (1.5) and the subspaces (5.8).
Lemma 5.11**.**
Under the assumptions of Theorem 5.9, we have
[TABLE]
and
[TABLE]
Proof.
First we check (5.10). Let . By definition (1.5), this means that . It now follows from formula (5.6) that
[TABLE]
for some and . In view of the intertwining property (3.2) we can rewrite (5.12) as
[TABLE]
All terms in the sum over vanish because \sigma(T_{k})\cap\big{(}\sigma(\boldsymbol{\Omega})\setminus\Upsilon\big{)}=\varnothing. Thus it follows from (5.13) that
[TABLE]
for both signs .
The inclusion (5.11) is verified in a similar way. Precisely, if , then . Therefore using again formula (5.6) and the intertwining property (3.2), we find that
[TABLE]
Since the first term on the right is zero, we see that
[TABLE]
for both signs . ∎
Combining Lemmas 5.10 and 5.11, we find an asymtotic behavior of for and .
Theorem 5.12**.**
For every , asymptotic relations (1.3) are satisfied for both signs with . For every , asymptotic relations (5.9) are satisfied for both signs with .
For , the asymtotics of as may contain both terms and . This is illustrated with the explicit example considered in the next subsection. It exhibits all three types of spectrum.
5.5. Example
Consider the symbol shown in Fig. 1. For convenience we copy this figure again with more detailed labelling, see Fig. 3. Below we use notation (1.4) and (2.1).
Assume that on the arcs and , and on the arc . Thus the spectrum of is simple and it coincides with the interval . Also,
[TABLE]
and , so that . By Definition 1.1, the thin, thick and mixed spectra coincide with the sets , and , respectively.
The model jump symbols are
[TABLE]
with a fixed . It is clear that . Thus the set is the union of four intervals,
[TABLE]
each of which satisfies (2.6). Consider them one by one. Below we use the notation (2.7): .
Thin spectrum. Let , so that
[TABLE]
According to Theorem 5.12, for every we have
[TABLE]
with . This is consistent with (5.11).
Thick spectrum. Let , so that
[TABLE]
According to Theorem 5.12, for every we have
[TABLE]
with . This is consistent with (5.10).
Mixed spectrum. Let , so that
[TABLE]
The asymptotic completeness (5.4) takes the form
[TABLE]
According to (3.5), it follows from (5.14) that for every we have
[TABLE]
with
[TABLE]
Let , so that
[TABLE]
The asymptotic completeness (5.4) takes the form
[TABLE]
It follows from (5.16) that for the asymptotics of is given by relations similar to (5.15).
Thus, on the mixed spectrum, the operator has different evolution properties as and .
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