Kato smoothness and functions of perturbed self-adjoint operators
Rupert L. Frank, Alexander Pushnitski

TL;DR
This paper develops new estimates for the difference of functions of perturbed self-adjoint operators, broadening the class of functions and norms for which these estimates are valid, using scattering theory and Kato smoothness.
Contribution
It introduces a novel framework for Schatten class valued smoothness and double operator integrals, extending previous results to a wider class of functions including unbounded ones.
Findings
Established new operator norm estimates for $f(H_1)-f(H_0)$.
Extended the class of functions $f$ for which estimates hold, including some unbounded functions.
Developed a new notion of Schatten class valued smoothness and a framework for double operator integrals.
Abstract
We consider the difference for self-adjoint operators and acting in a Hilbert space. We establish a new class of estimates for the operator norm and the Schatten class norms of this difference. Our estimates utilise ideas of scattering theory and involve conditions on and in terms of the Kato smoothness. They allow for a much wider class of functions (including some unbounded ones) than previously available results do. As an important technical tool, we propose a new notion of Schatten class valued smoothness and develop a new framework for double operator integrals.
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Kato smoothness and functions of perturbed self-adjoint operators
Rupert L. Frank
Mathematisches Institut, Ludwig-Maximilans Universität München, Theresienstr. 39, 80333 München, Germany, and Department of Mathematics, California Institute of Technology, Pasadena, CA 91125, USA
and
Alexander Pushnitski
Department of Mathematics, King’s College London, Strand, London, WC2R 2LS, UK
(Date: 15 January 2019)
Abstract.
We consider the difference for self-adjoint operators and acting in a Hilbert space. We establish a new class of estimates for the operator norm and the Schatten class norms of this difference. Our estimates utilise ideas of scattering theory and involve conditions on and in terms of the Kato smoothness. They allow for a much wider class of functions (including some unbounded ones) than previously available results do. As an important technical tool, we propose a new notion of Schatten class valued smoothness and develop a new framework for double operator integrals.
1. Introduction
1.1. Setting of the problem
Let and be self-adjoint operators in a Hilbert space , and let be a complex-valued function on the real line. In the framework of perturbation theory, the problem of estimating the difference
[TABLE]
either in the operator norm or in a Schatten class norm often arises. First, to set the scene, we display some known estimates in this context:
[TABLE]
Here is the norm in the standard Schatten class and is the operator norm; is the Lipschitz class and is a Besov class. As usual, the case is very simple (and goes back at least to Birman and Solomyak in 1960s) and the important special cases and (i.e. (1.2) and (1.3)) are exceptional. The case is due to Potapov and Sukochev [15] and the cases and are due to Peller [13]. The estimate (1.1) is obviously sharp ( cannot be replaced by any larger class) and the estimates (1.2), (1.3) are very close to being sharp (the Besov class cannot be replaced by any larger Besov class).
In applications (we mainly have in mind the spectral theory of Schrödinger operators, see Section 1.5) one often has additional information on the perturbation , which can be expressed in terms of conditions of the Kato smoothness type. In this paper, we propose a framework which allows one to systematically use these smoothness conditions in order to improve the estimates on , both in the operator norm and in the Schatten class norms.
1.2. Kato smoothness and the operator norm estimate
The notion of Kato smoothness was introduced by Kato in his seminal paper [10] (with further developments in [11]). In the same paper [10], it was used to prove the existence and completeness of wave operators. We will use this notion for a different purpose.
Let be a self-adjoint operator in a Hilbert space and let be an operator acting from to another Hilbert space . We will say that is Kato smooth with respect to (we will write ), if
[TABLE]
This definition may look unfamiliar, but in fact we show in Section 2 that it coincides with the standard definition of Kato smoothness. We will see that the advantage of definition (1.4) is that it extends naturally to Schatten classes.
We start by stating, somewhat informally, our first (very simple) result; a more precise statement will be given in Section 6.
Theorem 1.1**.**
Let and be self-adjoint operators in such that the perturbation factorises as
[TABLE]
with and . Then for any , one has
[TABLE]
Here is the class of functions with bounded mean oscillation; we recall the description of this class in Section 5 and fix a suitable norm on it (there are many equivalent norms on , but by choosing a specific norm, we make the constant in front of the right hand side of (1.5) equal to ).
Observe that functions in include some unbounded ones, such as . This is in sharp contrast with the estimate (1.2), where has to be bounded, continuous and everywhere differentiable (see e.g. [1] for the differentiability statement).
1.3. -valued smoothness and Schatten norm estimates
For , let be the standard Schatten class with the (quasi-)norm (see Section 1.7 for the definition). Generalising (1.4), we will say that if
[TABLE]
Our main result is the following Schatten class estimate (it will be restated more precisely as Theorem 6.5 in Section 6).
Theorem 1.2**.**
Let be finite positive numbers such that . Let and be self-adjoint operators in such that with , . Then for all , one has
[TABLE]
This extends to (resp. to ), if one replaces (resp. ) by (resp. by ).
We recall the definition of the Besov class in Section 5. The constant in (1.6) depends only on the choice of the functional in this class. We say “the functional” rather than “the norm”, because technically is a semi-(quasi)norm; semi because it vanishes on all polynomials and quasi because it satisfies the triangle inequality of the form
[TABLE]
Requiring that reduces the arbitrary polynomial in the definition of to an arbitrary additive constant. Observe that for , we have .
To illustrate the type of local singularities allowed for functions , consider the following example. Let be a function which equals in a neighbourhood of the origin and vanishes outside the interval with some . Fix , , and consider the function
[TABLE]
Proposition 1.3**.**
Let be as defined above and let .
- (i)
If , then if and only if . 2. (ii)
If , then if and only if .
In essence, this is an elementary computation using the definition of ; we sketch the proof in the Appendix.
Again, we see that for , the functions may be unbounded. It is also clear that, in contrast with (1.1), is never in , apart from the trivial cases or .
We note briefly that Theorems 1.1 and 1.2 are sharp in the sense that the corresponding estimates are saturated for certain operators and ; see Theorem 7.1 below.
1.4. Key ideas of the proof
For a function , we denote by the divided difference
[TABLE]
The Birman-Solomyak formula, which goes back to [2] (see also [3] for a modern exposition), represents the difference as the double operator integral (DOI):
[TABLE]
where (resp. ) is the projection-valued spectral measure of (resp. of ). The standard approach (which again goes back to Birman and Solomyak) to the problem of estimating the norm of is to represent the map as a composition of two maps,
[TABLE]
To explain this further, let us first recall the strategy of the proof of the estimate (1.2). One proves (see [13]) separately the estimates
[TABLE]
where is a certain norm on the set of integral kernels (functions of two variables). Putting them together and using the Birman-Solomyak formula, this yields (1.2).
We use the composition (1.9) as well, but the underlying estimates are different. Essentially, we develop an alternative version of the theory of DOI as follows. We fix , and , and consider the map
[TABLE]
here is an arbitrary bounded operator in with the integral kernel . We prove the estimates
[TABLE]
These estimates, together with the Birman-Solomyak formula, yield the proof of Theorem 1.1. Theorem 1.2 is obtained from the Schatten class versions of (1.10) and (1.11).
We note that while (1.10) (and its Schatten class version) is new, the estimate (1.11) is essentially well known. In fact, the operator with the integral kernel is a Hankel operator in disguise; this is well known in the Hankel operator community, and (1.11) easily follows from there.
1.5. Some applications
Here we briefly mention some applications of Theorems 1.1 and 1.2; these are developed in detail in the forthcoming publication [6]. Let
[TABLE]
where the real-valued potential satisfies the bound
[TABLE]
Under these assumptions, the absolutely continuous spectrum of both and coincides with . In applications to mathematical physics (see e.g. [5]), one is often interested in functions having a cusp-type singularity on the absolutely continuous spectrum and smooth elsewhere. It is also easy to reduce the question to functions compactly supported on .
Theorem 1.4**.**
[6]**
- (i)
Assume . Then any with compact support in , we have . 2. (ii)
Assume . Then for any and for any with compact support in , we have . 3. (iii)
Assume . Then for any and for any with compact support in , we have .
In the case, this is the result of our previous publication [5].
In the proof of Theorem 1.4, the concept of local -valued smoothness is important; in other words, one needs inclusions of the type , where . We develop some tools for this in Section 7.3.
1.6. The structure of the paper
In Section 2 we discuss the classical Kato smoothness and in Section 3 we introduce and study the -valued smoothness. In Section 4 we develop our version of the theory of DOI and prove the estimate (1.10) and its Schatten class version. The key idea of the proof is a certain factorisation of the DOI and a subsequent use of interpolation on each factor. In Section 5 we derive the estimate (1.11) (and its Schatten class version) from the known estimates for Hankel operators. In Section 6 we put all the components together and prove Theorems 1.1 and 1.2. Section 7 contains some additional information. First we present an example which illustrates the sharpness of our main results. Then we consider some extensions: to “quasicommutators”
[TABLE]
and to operators of the form
[TABLE]
The latter operator is important in applications, which we develop in a separate paper [6]. In Appendix, we sketch the proof of Proposition 1.3 and of another technical statement of a similar nature.
1.7. Notation
Throughout the paper, and are complex separable Hilbert spaces. If is a self-adjoint operator in , then is the spectral projection of associated to the set . Here and in what follows is the characteristic function of the set . We denote by (resp. ) the absolutely continuous (resp. singular) subspace of , and .
We will often deal with weakly convergent sequences of bounded operators in a Hilbert space, i.e. for all elements in the Hilbert space. Recall that this is equivalent to for all trace class operators . Thus, for the sake of uniformity with other types of convergences in function spaces, we shall call this -weak convergence in the set of bounded operators.
The set of bounded operators acting from to is denoted by , and the corresponding norm is denoted by . We use the class of compact operators acting from to and, for , the Schatten class , defined by
[TABLE]
where is the sequence of singular values of , enumerated with multiplicities taken into account. Observe that is a norm for , and a quasinorm for ; the triangle inequality fails in the latter case. However, for there is a useful substitute for the triangle inequality due to Rotfeld [19] (see also [12])
[TABLE]
We frequently use the “Hölder inequality for classes”
[TABLE]
Acknowledgements.
Partial support by U.S. National Science Foundation DMS-1363432 (R.L.F.) is acknowledged. We are grateful to Barry Simon for discussions related to the proof of Theorem 3.3. A.P. is grateful to Caltech for hospitality.
2. Kato smoothness
Let be a self-adjoint operator in , and let be an -bounded operator; that is, and the operator is bounded for all ; here and in what follows we denote .
Note that the operator is not assumed to be closed or closable; in fact, in one of our examples will not admit closure. So the stand-alone adjoint is not necessarily well defined, but products of the type are.
2.1. Kato smoothness
We recall (see e.g. [20, Section 4.3]) that for an -bounded operator , the following conditions are equivalent:
[TABLE]
[TABLE]
[TABLE]
If these conditions hold true, then
[TABLE]
In this case, the operator is called -smooth, and we will write . We will denote
[TABLE]
We recall that for , one has ; here is the singular subspace of .
As mentioned in the Introduction, we will need a slightly non-standard equivalent definition of smoothness, given by the following theorem.
Theorem 2.1**.**
* if and only if*
[TABLE]
Further, in this case the norm coincides with the optimal constant in (2.4):
[TABLE]
Before proving this theorem, we need to address a minor technical issue: since the operator is in general unbounded, the definition of must be made more precise. We define to be zero on . Next, we will denote by the set of all elements for which the function
[TABLE]
is compactly supported and uniformly bounded on . It is not difficult to show that is dense in . It is also easy to see that for , the element is defined for and we have . Thus, is well defined for . Theorem 2.1 says that this definition can be extended to all with the norm bound (2.4) if and only if .
Proof of Theorem 2.1.
Assume that ; let us prove (2.4). It suffices to consider the dense set of functions of the form
[TABLE]
where the sum is finite, are disjoint intervals in and . Then, by (2.3),
[TABLE]
and so we obtain (2.4) with . The converse follows by taking and by comparing with (2.3). ∎
An important ingredient of our construction is
Theorem 2.2**.**
Let and let be an orthonormal sequence in . Then for any :
[TABLE]
Proof.
Denote by the Poisson kernel,
[TABLE]
For , let , . Then by (2.2), with the norm estimate
[TABLE]
Let and let be any set of elements with for each . Then the set is orthonormal in the space , and therefore, by the Cauchy-Schwarz in the same space,
[TABLE]
Choosing
[TABLE]
with a suitable normalisation constant , from here we obtain
[TABLE]
for every . Next, for every , we have
[TABLE]
where
[TABLE]
Thus, (2.7) can be written as
[TABLE]
Further, by the properties of the Poisson kernel, as for all , and therefore, by Theorem 2.1,
[TABLE]
for all . It follows that for any ,
[TABLE]
Since is arbitrary, we obtain (2.5). ∎
2.2. The class
We will write , if and if
[TABLE]
Lemma 2.3**.**
Let ; then is compact for any .
Proof.
Since is compact for any , the operator is compact for . Since is dense in , the bound (2.4) implies that is compact for all , as claimed. ∎
2.3. Smoothness with respect to the multiplication operator
It will be important for us to have a description of the class , where is the operator of multiplication by the independent variable in a vector-valued -space. Such description was given by Kato in [11]. Let be an auxiliary Hilbert space (which may be finite or infinite dimensional), and let be the space of -valued functions. The operator in is defined as
[TABLE]
[TABLE]
Theorem 2.4**.**
[11]** Let be as above and let be an -bounded operator. Then if and only if can be represented as
[TABLE]
with some . Moreover, in this case we have the equality of the norms
[TABLE]
This theorem plays a crucial role in our construction; see Theorem 3.3 and Lemma 3.6 below. For this reason and for the sake of completeness we give a proof, which is essentially a rewording of Kato’s proof in [11].
Proof.
Let and let be defined according to (2.10). Then it is clear that for every finite interval the operator is bounded and
[TABLE]
It follows that
[TABLE]
and so, by (2.3), and
[TABLE]
Conversely, let . First we need an auxiliary estimate. Observe that . Write every as , where
[TABLE]
Then , and
[TABLE]
By Theorem 2.1, we obtain
[TABLE]
Now let us establish the existence of that satisfies (2.10). In order to define the function , it is easier to start with the adjoint . Let ; by (2.14), we have
[TABLE]
It follows that the linear functional is bounded on and therefore (see e.g. [9, Corollary 1.3.22]) it can be represented as
[TABLE]
with some satisfying
[TABLE]
By the uniqueness of this representation, depends linearly on . Now for , let us define the operator by
[TABLE]
(to be precise, this should be done on a suitable countable dense set of and a suitable set of of full measure – we omit these details). By (2.16), we have
[TABLE]
Now we can define as the adjoint of . From (2.15) we obtain that
[TABLE]
for all . This yields (2.10). From (2.13) and (2.17) we obtain the equality of the norms (2.11). ∎
Example 2.5*.*
Let and let for all , i.e.,
[TABLE]
Then and . It is easy to see that is not closable.
3. -valued smoothness
3.1. Definition and characterisation
Definition 3.1**.**
For , we write , if and if for some and for all ,
[TABLE]
In this case we set
[TABLE]
Lemma 3.2**.**
Let ; then
[TABLE]
where the supremum is taken over all finite intervals .
Proof.
Denote by the right hand side of (3.1). The inequality follows by taking . The converse inequality follows by the same calculation as in the proof of Theorem 2.1, with Schatten norms instead of the operator norms. Indeed, for
[TABLE]
we have
[TABLE]
which gives the required bound. ∎
For the argument of Lemma 3.2 is no longer valid, as the triangle inequality fails for the quasi-norm .
For , -valued smoothness with respect to the multiplication operator is easy to characterise. For , we have only a necessary condition for -valued smoothness.
Theorem 3.3**.**
Let be the multiplication operator (2.9) in and let be an -bounded operator.
- (i)
Let ; then if and only if can be represented as in (2.10) with some . Moreover, in this case we have the equality of the norms
[TABLE] 2. (ii)
Let . If , then can be represented as in (2.10) with some and
[TABLE]
After the proof of this theorem we will give an example that shows that for an operator represented as in (2.10) with some does not necessarily belong to , so one cannot expect equality in (3.2).
We need the following well-known lemma:
Lemma 3.4**.**
Let be a sequence of non-negative operators which converges -weakly to an operator . Then
[TABLE]
(with the understanding that the left side is finite if the right side is).
Proof.
Let be an orthonormal basis of the underlying Hilbert space. Then for any ,
[TABLE]
The assertion follows as by monotone convergence. ∎
Proof of Theorem 3.3.
Let for some and let be defined according to (2.10). Then, using (2.12), we obtain
[TABLE]
By Lemma 3.2, it follows that and
[TABLE]
We now prove the converse implication and assume that for some . Since , by Theorem 2.4 we have the representation (2.10) with some . We claim that
[TABLE]
This is the Lebesgue differentiation theorem for functions on valued in the Banach space ; see e.g. [9, Theorem 2.3.4]. Since the function is continuous on , we infer that
[TABLE]
By the lower semi-continuity of the trace which we have recalled in Lemma 3.4, we obtain for almost every
[TABLE]
By the definition of smoothness with we have
[TABLE]
This implies and
[TABLE]
This completes the proof of the theorem. ∎
Example 3.5*.*
Let , and let be the standard basis in . Define
[TABLE]
Then clearly with for any . Moreover, for the interval we find similarly to the proof of Theorem 3.3
[TABLE]
For we conclude that
[TABLE]
and therefore .
3.2. An interpolation result
Lemma 3.6**.**
Let , and let . Then there exists a family of operators , , such that:
- (i)
* for all , with ;* 2. (ii)
* for ;* 3. (iii)
* for ;* 4. (iv)
; 5. (v)
for any , the family of bounded operators is analytic in for and continuous in for .
Before coming to the proof, we recall the following consequence of the spectral theorem for self-adjoint operators. Let be a self-adjoint operator in ; then there exists a Hilbert space and a linear isometry (not necessarily onto)
[TABLE]
for any Borel function on . Here is the multiplication operator (2.9) in . Further, it is easy to see that if and only if , with
[TABLE]
and the same is true for the norms.
Proof of Lemma 3.6.
By the above remarks, the question is reduced to the case . By Theorem 3.3, has the representation
[TABLE]
with . Write the polar decomposition of as
[TABLE]
where is a partial isometry for a.e. . Now let us define
[TABLE]
We have
- •
for all , , and ;
- •
for ;
- •
for ;
- •
.
From here, again using Theorem 3.3, we obtain the properties (i)–(iii) of . The property (iv) is obvious from the definition, and the property (v) is straightforward to check. ∎
4. Double operator integrals
4.1. Overview
The notion of double operator integrals (DOI) was initially introduced by Daletskii and Krein in [4] and developed by Birman and Solomyak in [2] (see [3] for a modern account of the theory and for further historical references). Here we consider DOI from a different viewpoint; essentially, we construct an alternative version of the theory of DOI under a different set of assumptions.
Throughout this section, and are self-adjoint operators in and , are operators from to such that and . We will work with bounded operators on and with their integral kernels . (In practice, we will only need the notion of an integral kernel for finite rank operators ; in this case this notion can be unambiguously defined without difficulty.) Informally speaking, we would like to define the double operator integral
[TABLE]
initially for finite rank operators and eventually for all bounded operators on . In other words, for fixed , , , , we consider the map
[TABLE]
defined initially on the set of all finite rank operators . We prove that this map can be extended in a natural way to the whole space , that it is bounded and satisfies the operator norm and the Schatten norm bounds
[TABLE]
In order to make sense of the integral (4.1), in the standard approach to the theory of double operator integrals [2, 3] one has to assume some degree of regularity of the kernel . In our framework, the regularity of is not needed, as we are using the smoothness of and instead.
Recall that if , then . Thus, it is natural to define such that it satisfies the property
[TABLE]
(or both). Thus, essentially acts from to .
It will be convenient to use the following notation for the constants in the estimates (4.2) and (4.3):
[TABLE]
4.2. for finite rank
We begin by defining for finite rank operators . Let be given by its Schmidt series,
[TABLE]
where is finite, are the singular values of and , are orthonormal sets. Then the integral kernel of is given by
[TABLE]
In this case, we set
[TABLE]
From this definition it follows, in particular, that the property (4.4) is satisfied.
First we need to check that definition (4.7) is independent of the choice of the Schmidt series representation (4.6). This will follow from the next lemma.
Lemma 4.1**.**
For , let be a diagonalization isometry as in (3.3), i.e.
[TABLE]
where is a Hilbert space and is the operator of multiplication by the independent variable in . For , denote and write the representation of Theorem 2.4 for as
[TABLE]
Then for all finite rank operators , we have
[TABLE]
Proof.
By linearity, it suffices to prove (4.8) for rank one operators . Let . Then
[TABLE]
as required. ∎
This lemma shows that can be alternatively defined through the integral kernel of . Since the integral kernel is independent of the choice of the Schmidt series representation (4.6), our definition of is also independent of this choice.
Lemma 4.2**.**
For any finite rank operator , one has (with as in (4.5))
[TABLE]
Proof.
Let be as in (4.6); observe that . The sesquilinear form of is
[TABLE]
Applying Cauchy-Schwarz and Theorem 2.2, we can estimate this form as follows:
[TABLE]
as required. ∎
Lemma 4.3**.**
Let , be finite rank operators such that -weakly. Then -weakly.
Proof.
By linearity it suffices to consider the case -weakly. By Lemma 4.1, we have
[TABLE]
where
[TABLE]
Let be an orthonormal basis in . Denote
[TABLE]
and consider the operator in with the integral kernel
[TABLE]
This operator is trace class, because
[TABLE]
Now let us expand the inner product in (4.10) as
[TABLE]
this yields
[TABLE]
By our assumption on -weak convergence, we have as , and therefore -weakly. ∎
4.3. for bounded and compact
In the previous subsection, we have defined the map
[TABLE]
on the set of all finite rank operators; we have checked this map is bounded in the operator norm and continuous with respect to the -weak convergence. Since finite rank operators are -weakly dense in the set of bounded operators, we can extend this map (by -weak continuity) onto the whole set .
Lemma 4.4**.**
The map (4.11), extended as explained above, is bounded with respect to the operator norm, and the operator norm bound (4.2) holds true. The property (4.4) also holds for any bounded .
Proof.
Let be a sequence of finite rank orthogonal projections in such that strongly as . Denote . Then -weakly and for all . Using the bound (4.9) for finite rank operators, we obtain
[TABLE]
Finally, it is clear that the property (4.4) is preserved under the weak limits. ∎
Recall that the class is defined by the additional compactness assumption (2.8).
Lemma 4.5**.**
Assume that , and , and suppose in addition that either or (or both). Then .
Proof.
Consider the case . By Lemma 4.4, it suffices to check that for all finite rank . By linearity, it suffices to consider rank one operators . Let ; then
[TABLE]
Here is bounded by Theorem 2.1 and is compact by Lemma 2.3. This gives the compactness of . The case is considered in the same way. ∎
4.4. for
Theorem 4.6**.**
Let , , be finite positive numbers such that . Let , . Then for all , we have and the Schatten norm bound (4.3) holds true.
This extends to (resp. ) if one replaces (resp. ) by (resp. ).
Proof.
First let us consider the case of finite , . By a density argument it suffices to prove (4.3) for finite rank operators . Let be given by its Schmidt series (4.6), so
[TABLE]
We write in a factorised form:
[TABLE]
where the maps , are defined by
[TABLE]
Our aim is to show that and with the norm bounds
[TABLE]
From (4.12) and (4.13) the required result follows immediately by an application of the “Hölder inequality for classes”:
[TABLE]
Let us prove the bound (4.12); the second bound (4.13) is considered in the same way.
Case 1: . Consider the operator
[TABLE]
We use the “triangle inequality” for , see (1.12):
[TABLE]
By the definition of the -valued smoothness,
[TABLE]
since are normalised in . Putting this together, we obtain the bound (4.12).
Case 2: . Here we use complex interpolation between the cases and and employ Lemma 3.6.
Let be the analytic family as in Lemma 3.6 with and . For , let be defined by
[TABLE]
Let us compute the operator norm of . Using Theorem 2.2, we obtain
[TABLE]
Thus, is bounded in the operator norm for all and
[TABLE]
Next, for the operator is Hilbert-Schmidt. Indeed, using the estimates of Lemma 3.6, we obtain
[TABLE]
Further, it is straighforward to see that is analytic in , operator norm continuous for and . By Hadamard’s three lines theorem for Schatten classes [8, Thm. III.13.1], we obtain
[TABLE]
as required.
Finally, let us briefly discuss the case , (the case , is considered in the same way). Here we set
[TABLE]
Now we have an operator norm bound for by Theorem 2.2 and the -norm bound for by the same argument as above (considering separately the and cases). Combining these bounds, we obtain
[TABLE]
as required. ∎
5. The map
5.1. Overview
As in the Introduction, for a function , we denote by the divided difference
[TABLE]
By a slight abuse of notation, we also denote by the operator in with the integral kernel . Of course, this definition requires some assumptions on ; we will be more precise below. Our aim in this section is to establish the boundedness of as a map from to and from to . The content of this section is probably well-known to specialists; we just need to recall the required results in notation convenient for the next section.
5.2. Preliminaries on
The Hardy space , , is defined in the standard way as the space of all analytic functions in the upper half-plane such that the norm
[TABLE]
is finite. As usual, we identify the function with its boundary values , which exist for a.e. . The spaces are defined analogously. In fact, we will only need the cases and .
The space (bounded mean oscillation) consists of all locally integrable functions on such that the following supremum over all bounded intervals is finite:
[TABLE]
Observe that this supremum vanishes on constant functions. Strictly speaking, the elements of should be regarded not as functions but as equivalence classes ; in practice, we will deal with individual functions but bear in mind that an arbitrary constant can be added to a function without affecting the BMO norm. Observe that for constant functions, the kernel (1.7) vanishes identically.
Functions in belong to for any and any , but not for : they may have logarithmic singularities. These functions also satisfy [7, Theorem VI.1.2]
[TABLE]
Fefferman’s duality theorem [7, Theorem VI.4.4] says that for any , the linear functional on ,
[TABLE]
defined initially on a suitable dense set of functions , extends to the whole space as a bounded linear functional and that conversely, any bounded linear functional on can be realised in this way with some . The norm of in the dual space will be denoted by .
A minor technical issue here is that the integral in (5.2) need not make sense for all and all . This explains the need for using certain dense sets of ’s and ’s in what follows.
There are many equivalent ways to define a norm on . We choose the one directly related to Fefferman’s duality theorem. For , we set
[TABLE]
We will say that -weakly in , if we have the weak convergence of linear functionals and on .
We will denote by the set of all bounded rational functions of :
[TABLE]
The subspace (continuous mean oscillation) is the closure of all rational functions in . (Alternatively, one can define as the closure in of the set of all functions of the form , .)
Remark*.*
The space is slightly smaller than the more commonly used space (vanishing mean oscillation) of functions defined by the condition
[TABLE]
(see, e.g., [18, Section 2A]). Roughly speaking, the functions in must be “more regular than BMO” locally, while the functions in must be “more regular than BMO” both locally and at infinity. For example, the function belongs to but not to .
Finally, we will need the following
Lemma 5.1**.**
The set of rational functions is dense in with respect to -weak convergence.
The proof is given in the Appendix.
5.3. Besov spaces
Let , , be a function with and such that
[TABLE]
The (homogeneous) Besov class is defined as the space of tempered distributions on such that
[TABLE]
Here is the convolution and is the Fourier transform of ,
[TABLE]
Observe that according to this definition, any polynomial belongs to (as the Fourier transform of a polynomial is supported at the origin). In the context of this paper, we consider , which reduces an arbitrary polynomial to an arbitrary constant.
The definition of is independent of the choice of the function . However, the precise value of will, of course, depend on this choice.
5.4. Discussion: and Hankel operators
Recall that the orthogonal projection onto the Hardy class is given by
[TABLE]
Comparing this with (1.7), we see that, at least for smooth bounded functions , the operator can be identified with the commutator , where is the operator of multiplication by . Further, formally we have (denoting )
[TABLE]
In accordance with this, we define initially via the sesquilinear form (denoting )
[TABLE]
Let us explain why the inner products in (5.4) are well-defined. Since , for some we have
[TABLE]
and
[TABLE]
and similar bounds hold for . Recall also that for any and any , and the integral (5.1) converges. Putting this together, we see that the integrals
[TABLE]
converge absolutely, and so the inner products in (5.4) are well defined. Although these inner products need not make sense for arbitrary , below we will see that is bounded in in the norm, and therefore extends as a bounded operator to .
Further, we have
[TABLE]
with respect to the orthogonal decomposition . This gives an immediate (and well-known) connection with Hankel operators. For , the Hankel operator is defined by
[TABLE]
Thus, is exactly the Hankel operator but defined on the wider space ; in particular, the operator norm (and all Schatten norms) of the operators and coincide. This shows that the required results on the boundedness and Schatten class properties of follow directly from the corresponding known results on Hankel operators. Below we make this explicit.
5.5. Boundedness of
Lemma 5.2**.**
- (i)
Let . Then the sesquilinear form (5.4) satisfies the bound
[TABLE]
Thus, extends to a bounded operator on . Further, one has
[TABLE] 2. (ii)
If -weakly in , then -weakly in .
Proof.
Let us first consider the quadratic form
[TABLE]
for . As already discussed, the integral here converges absolutely. Further, since , we have and so
[TABLE]
It follows that
[TABLE]
which can be written as
[TABLE]
Further, since (see e.g. [7, Exercise II.1]) any function in can be represented as with
[TABLE]
it is easy to see that in fact we have the equality of the norms,
[TABLE]
Similarly,
[TABLE]
Now by (5.5) we obtain
[TABLE]
according to our definition of the BMO norm.
This argument also shows that if -weakly in BMO, then
[TABLE]
and
[TABLE]
which yields (ii). ∎
Lemma 5.3**.**
If , then the operator has a finite rank. If , then the operator is compact.
Proof.
Let , . Then
[TABLE]
so is a rank one operator. Differentiating (5.7) times with respect to , one checks that is finite rank for . By partial fraction decomposition, we get that is finite rank for any rational .
Now let ; approximating by rational functions in norm, we obtain in view of (5.6) an approximation of by finite rank operators in the operator norm. Thus, is compact. ∎
5.6. Schatten class properties of
Below we state Peller’s characterisation of Hankel operators of Schatten class in a form convenient for us. For the proofs and the history, see [14, Chapter 6].
Proposition 5.4**.**
[14, Theorem 6.7.4]** For any , there exist constants such that for all ,
[TABLE]
Remark*.*
Of course, the constants and depend on the choice of the functional in . The bounds (5.8) are not explicitly stated in [14, Theorem 6.7.4], but are obtained in the proof of that theorem.
Lemma 5.5**.**
For any , one has
[TABLE]
Thus, we have the estimates
[TABLE]
with the constants as in Proposition 5.4.
Proof.
By (5.5), we have
[TABLE]
Now the required result follows from the fact that (by a simple calculation)
[TABLE]
6. The map
6.1. Overview
In this section we put together all the components prepared so far. Throughout this section, and are self-adjoint operators in a Hilbert space and , are linear operators from to such that
[TABLE]
We assume that
[TABLE]
in the sense to be made precise later. We consider the map in an abstract fashion, as a linear map from some function spaces to some spaces of operators. Our aim is to prove Theorems 1.1 and 1.2, which are restated more precisely as Theorems 6.2 and 6.5 below. The key step is the use of the Birman-Solomyak formula (1.8), which allows us to use the results of Sections 4 and 5.
6.2. Preliminaries
First we should explain that the identity (6.2) will be understood in the sesquilinear form sense:
[TABLE]
Next, since functions need not be bounded, the operators and are in general unbounded for such . Thus, the definition of requires some care. Similarly to (6.3), we define the sesquilinear form of as follows:
[TABLE]
Obviously, for bounded functions one can define directly as a bounded operator on and in this case we have
[TABLE]
In what follows we will prove that for any the sesquilinear form is bounded and therefore (6.5) holds with some bounded operator in .
We denote
[TABLE]
We will need the resolvent identity for operators satisfying (6.3); it can be written in two alternative forms:
[TABLE]
for any .
First we give a simple statement reducing the analysis of to the absolutely continuous subspaces of and .
Proposition 6.1**.**
Assume (6.1) and (6.3). Then for the quadratic form , defined by (6.5), we have if or (or both).
Proof.
Suppose ; then for any we have and therefore, by the resolvent identity (6.6),
[TABLE]
By Stone’s formula [17, Theorem VII.13], this implies that the corresponding two spectral measures coincide on :
[TABLE]
It follows that
[TABLE]
whenever both sides are well-defined, i.e. whenever and . This is the equality written in a different form.
The case is considered in the same way, by using the resolvent identity in the form (6.7). ∎
The above proposition is well known in scattering theory as the statement that under the assumptions (6.1), (6.2), the singular parts of and coincide. As a consequence of this proposition, when dealing with the sesquilinear from , it suffices to consider and . In fact, the argument of Proposition 6.1 also shows that these absolutely continuous subspaces coincide: , although we will not need this.
6.3. The norm bound for
Theorem 6.2**.**
For any and for dense sets of , , the form (6.4) satisfies the bound
[TABLE]
where is the constant (4.5). Thus, the form corresponds to a bounded operator on in the sense of (6.5), and satisfies the norm bound
[TABLE]
If -weakly in , then -weakly in .
Proof.
We will prove the bound (6.8) for all , (see Section 2.1 for the definition of ). Since is dense in , , this will suffice.
Since , the measure is absolutely continuous and the function
[TABLE]
is in . It follows that (here is the Poisson kernel (2.6))
[TABLE]
Similarly, we obtain
[TABLE]
Let us subtract the last two identities one from another and use the resolvent identity (6.6). Denoting
[TABLE]
we obtain
[TABLE]
By the definition (2.1) of Kato smoothness, the functions and belong to . Thus, in notation (5.2) the previous identity can be written as
[TABLE]
We have
[TABLE]
where is a parameter to be chosen later. Similiarly,
[TABLE]
By the definition (2.1) of Kato smoothness, we get
[TABLE]
Optimising over , we obtain
[TABLE]
Now coming back to (6.9), we have
[TABLE]
as required.
Finally, suppose -weakly in . Consider the identity (6.9). It has been proven above for , ; but since we already know that is bounded, it extends by a limiting argument to all . By the definition of -weak convergence in we deduce from (6.9) that
[TABLE]
as required. ∎
6.4. Birman–Solomyak formula
Here we discuss the Birman-Solomyak formula (1.8). As in Section 4, we use the shorthand notation , see (4.1). In our framework, the Birman-Solomyak formula becomes
Theorem 6.3**.**
For all , the identity
[TABLE]
holds true.
Proof.
First let us check (6.10) for , . By the resolvent identity (6.6), we have
[TABLE]
and so, by the definition (4.7) of DOI,
[TABLE]
as claimed. Next, if , , then the required identity follows by differentiating times with respect to . By partial fraction decomposition, it follows that (6.10) holds true for all .
Now let us extend (6.10) to all by using -weak convergence. Rational functions are -weak dense in by Lemma 5.1. The left side of (6.10) is continuous with respect to -weak convergence by Theorem 6.2. The map is -weak continuous by Lemma 5.2(ii), and the map is -weak continuous by Lemma 4.3 (and because we have defined to be the -weak continuous extension from finite rank operators). Thus, (6.10) holds true for all . ∎
6.5. Compactness and Schatten class properties of
Theorem 6.4**.**
Let and , . Assume in addition that either or . Then is compact.
Proof.
By Theorem 6.3, it suffices to check that is compact. Here is compact by Lemma 5.3. Now the result follows from Lemma 4.5. ∎
Finally, we can prove our main result for Schatten classes, which is Theorem 1.2. We state it again for convenience:
Theorem 6.5**.**
Let , , be finite positive indices satisfying . Let and . Then for any , we have and
[TABLE]
where is the constant from (5.8) and is the constant from (4.5). This extends to (resp. ), if the class (resp. ) is replaced by (resp. ).
Proof.
By Theorem 6.3, Theorem 4.6 and Lemma 5.5, we have
[TABLE]
7. Sharpness and some extensions
This section contains some additional information. We demonstrate the sharpness of our main result and give some extensions.
7.1. Sharpness of estimates
Here we construct a pair of self-adjoint operators , in such that the estimates from Theorems 1.1 and 1.2 are saturated. Thus, this construction demonstrates that these estimates are sharp. We construct and as follows.
Let be the multiplication operator in from (2.9). Let be the Hilbert transform,
[TABLE]
It is well known that is unitary in ; it is also evident that . We set
[TABLE]
Next, we would like to represent the difference as a product . Let and let be as in Example 2.5:
[TABLE]
The operator is not closable, but , with . Further, we set
[TABLE]
Clearly, with . Thus, the constant (see (4.5)) equals in this case. We have
Theorem 7.1**.**
Let , , , be as described above. Then:
- (i)
The identity (6.3) holds true (i.e. in the sesquilinear form sense). 2. (ii)
For any , we have
[TABLE]
Thus,
[TABLE]
Proof.
Let , and let . Consider the left side of (6.3):
[TABLE]
which is the right side of (6.3). Next,
[TABLE]
From here we get the first identity in (7.1). The middle identity in (7.1) follows from Lemma 5.2, and the rest follows from Lemma 5.5. ∎
7.2. Quasicommutators
Let and be self-adjoint operators in , and let be a bounded operator in . Here we consider the so-called quasicommutators
[TABLE]
Let us assume that
[TABLE]
with some operators , acting from to such that
[TABLE]
As usual, (7.3) should be understood in the sesquilinear form sense, i.e.
[TABLE]
The resolvent identity in this case takes the form
[TABLE]
Similarly to (6.4), we define the sesquilinear form
[TABLE]
For bounded functions the quasicommutator can be defined directly as in (7.2) and
[TABLE]
Similarly to Proposition 6.1, we have
Proposition 7.2**.**
Assume (7.4) and (7.5). Then we have if or (or both).
Proof.
If , then for all we have and so, by the resolvent identity (7.6),
[TABLE]
From here, as in the proof of Proposition 6.1, we obtain for any such that and . The case is considered in the same way. ∎
In full analogy with Theorem 6.2, we have
Theorem 7.3**.**
Assume (7.4) and (7.5). For any and for all , , the sesquilinear form satisfies the bound
[TABLE]
where is the constant (4.5). Thus, the form corresponds to a bounded operator on in the sense of (7.7), and satisfies the norm bound
[TABLE]
If -weakly in , then -weakly in .
The proof repeats the proof of Theorem 6.2 word for word; the only difference is that the required resolvent identity in this case has the form (7.6).
Furthermore, repeating word for word the proof of Theorem 6.3, we establish the modified Birman-Solomyak formula
[TABLE]
for all . Thus, we can apply the compactness Lemma 4.5 and the Schatten bounds Theorem 4.6:
Theorem 7.4**.**
Assume (7.4) and (7.5); let be as defined above. Assume and assume in addition that at least one of the inclusions
[TABLE]
holds true. Then is compact. Further, let , , be finite positive indices satisfying , and let be as in (4.5). Then the Schatten class bound
[TABLE]
holds true for all . It extends to (resp. ), if one replaces the class (resp. ) by (resp. ).
7.3. Products of functions
Let and be self-adjoint operators in , and let . Here we consider the products
[TABLE]
where as before. The main interest of this is in taking , where ; this leads to local variants of smoothness conditions. We develop this in more detail in the forthcoming publication [6].
We assume that
[TABLE]
for some , where is -bounded and is -bounded. As usual, (7.9) should be understood in the sesquilinear form sense, see (6.3). Our smoothness assumptions are now as follows:
[TABLE]
We define the operator (7.8) via the sesquilinear form
[TABLE]
for and .
Theorem 7.5**.**
Assume (7.9) and (7.10); let and let be as above. Then , if or . Further, for and , the sesquilinear form satisfies the bound
[TABLE]
Thus, the sesquilinear form corresponds to a bounded operator , which satisfies
[TABLE]
If -weakly in , then
[TABLE]
-weakly in .
Proof.
Let
[TABLE]
and let be as defined in (7.7). Observe that we have
[TABLE]
in the sesquilinear form sense, and
[TABLE]
or, in different notation,
[TABLE]
Thus, the operator identity
[TABLE]
holds true and our claims follow immediately from Proposition 7.2 and Theorem 7.3. ∎
As an immediate consequence of (7.11) and of Theorem 7.4, we also obtain the corresponding compactness result and the Schatten norm bounds.
Theorem 7.6**.**
Assume (7.9) and (7.10), and let . Assume that at least one of the two inclusions
[TABLE]
holds true. Then is compact. Further, let , , be finite positive indices such that , and let . Then we have the bounds
[TABLE]
This extends to the case (resp. ), if one replaces the class (resp. ) by (resp. ).
Appendix A Two technical proofs
Sketch of proof of Proposition 1.3.
The key point is the calculation of the asymptotics of the Fourier transform of . A lengthy but straightforward calculation (see e.g. [16, Section 4]) yields that for we have
[TABLE]
and for we have
[TABLE]
In both cases, the terms can be differentiated arbitrary many times, i.e.
[TABLE]
First consider the case and let us check that the series (5.3) converges if and only if . It is easy to see that is a -smooth function of and as a consequence, the series over converges for all and . Thus, it suffices to inspect the convergence of the series over . By the asymptotics (A.1), we have
[TABLE]
where is a Schwartz class function and the error term can be controlled by using the estimates (A.3). It follows that
[TABLE]
where . In the same way we get
[TABLE]
It follows that the series in (5.3) for converges if and only if .
In the same way, considering the case and using the asymptotics (A.2), we conclude that the series (5.3) converges if and only if . ∎
Finally, we give the
Proof of Lemma 5.1.
The proof is effected through mapping the problem to the unit circle.
Step 1: First we need to consider the analogous problem in the space , which is defined as follows. For and ( the standard Hardy class on the unit disk), let
[TABLE]
if the limit exists. Then if and only if both linear functionals and are bounded on .
Let us prove that for , its approximations by Fejer sums converge to -weakly in . More precisely, set
[TABLE]
It is easy to see that the linear map is bounded on :
[TABLE]
and so, by duality,
[TABLE]
Next, it is clear that if is a trigonometric polynomial, then
[TABLE]
Since trigonometric polynomials are dense in , by an approximation argument (involving (A.5)), we obtain (A.6) for all . Similarly, one proves that .
Step 2: Let be the standard conformal map from the unit disk to the upper half-plane:
[TABLE]
Recall (see e.g. [7, Cor. VI.1.3]) that if and only if . Let be the Fejer sum (A.4) of , and let . By construction, is a rational function; let us prove that -weakly in . For , let be given by
[TABLE]
Then a direct calculation shows that
[TABLE]
Now we get by the first step of the proof. Similarly, one proves . ∎
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- 2[2] M. Sh. Birman, M. Z. Solomyak, Double Stieltjes operator integrals. (Russian) Problems of mathematical physics. No. 1. Spectral theory and wave processes. (Russian) pp. 33–67. Izdat. Leningrad. Univ., Leningrad, 1966.
- 3[3] M. Sh. Birman, M. Z. Solomyak, Double Operator Integrals in a Hilbert Space, Integr. Equ. Oper. Theory 47 (2003), 131–168.
- 4[4] Yu. L. Daletskii and S. G. Krein, Integration and differentiation of functions of Hermitian operators and applications to the theory of perturbations, (Russian) Voronezh. Gos. Univ. Trudy Sem. Funkcional. Anal. (1956), 1, 81–105.
- 5[5] R. Frank, A. Pushnitski, Trace class conditions for functions of Schrödinger operators , Comm. Math. Phys. 335 (2015) 477–496.
- 6[6] R. Frank, A. Pushnitski, Schatten class conditions for functions of Schrödinger operators , in preparation.
- 7[7] J. B. Garnett, Bounded analytic functions, Springer, 2007.
- 8[8] I. C. Gohberg, M. G. Kreĭn, Introduction to the theory of linear nonselfadjoint operators , Translations of Mathematical Monographs, Vol. 18, American Mathematical Society, Providence, R.I. 1969
