Compact Differences of Composition Operators
on Weighted Dirichlet Spaces
Abstract.
Here we consider when the difference of two composition operators is compact on the weighted Dirichlet spaces . Specifically we study differences of composition operators on the Dirichlet space and , the space of analytic functions whose first derivative is in , and then use Calderón’s complex interpolation to extend the results to the general weighted Dirichlet spaces. As a corollary we consider composition operators induced by linear fractional self-maps of the disk.
Key words and phrases:
Composition operator; Compact difference; Weighted Dirichlet space; Complex interpolation.2010 Mathematics Subject Classification:
primary: 47B33; secondary: 46E20, 47B321. Introduction
For an analytic self-map of the unit disk and a Banach space of functions analytic on the unit disk, we define the composition operator with symbol by the rule for all . The study of these types of operators began formally with Nordgren’s paper [15] where he explored properties of composition operators acting on the Hardy Hilbert space . Over the past fifty years, the study has proved to be a lively source of inquiry, most likely due to the fact that the study of such operators lies at the intersection of complex function theory and operator theory. With this perspective, the goal of such an investigation seeks to relate the operator properties of to the analytic and geometric properties of the symbol function . In this note we will focus on the property of compactness.
Recall that an operator acting on a Banach space is compact if it takes the unit ball in (which is not compact in the infinite dimensional setting) into a set with compact closure. For composition operators, compactness is generally classified by how the symbol function behaves near the boundary of the disk. For instance, it is well known that a composition operator is compact on if and only if . This condition is sufficient on many other spaces, but is often not necessary, meaning that the symbol can have some contact with the boundary and still induce a compact composition operator. This phenomenon has been studied in depth on the Hardy and weighted Bergman spaces; in [12] the authors supply the intuitive message for the case of the Hardy spaces: “ will be compact on if and only if squeezes the unit disc rather sharply into itself”. They then make sense of this intuitive notion using the finite angular derivative of the symbol .
Shapiro and Taylor were the first to observe the role that the angular derivative plays in the study of the compactness problem. In [21] they showed that the symbol of a compact composition operator on cannot have finite angular derivative at any point of . This result was extended to the Bergman space by Boyd in [4]. In [12], the authors use Carleson measure techniques to show that nonexistence of the angular derivative of is also a sufficient condition for to be compact on , however this is not the case on and the authors provide an example demonstrating such a . Shapiro later characterized the compact composition operators on in terms of the Nevanlinna counting function and the essential norm of the operator in [19].
In contrast with this, for acting on the space , the situation is much simpler. First, if is bounded on , then must have finite angular derivative at any point in which is mapped to ; see [7] Theorem 4.13. For compactness, it turns out that is compact on if and only if ; see, for example, [18]. Thus we see a drastic (and interesting) shift in behavior among spaces that are closely related to each other.
Here we are interested in determining when the difference of two composition operators is compact. In [11] MacCluer investigated this on the Hardy space to understand the topological structure of the collection of compact composition operators within the set of all composition operators. More recently, Moorhouse considered this on a broader range of spaces in [14] and further considered the role of the second order data of the symbol ; Bourdon also considered this same question on the Hardy space in [3]. Here we aim to extend some of those results.
In the next section we gather the necessary prerequisites. In Section 3 we work primarily on the Dirichlet space and . Our techniques mimic those of MacCluer and Moorhouse, but required a change in perspective due to the behavior of the reproducing kernels in our spaces of interest. To overcome this, we instead use the kernels for evaluation of the first derivative. Finally, we appeal to Calderón’s method of complex interpolation to provide an extension to the general weighted Dirichlet spaces. This work is, in part, an invitation for other researchers to employ these newer techniques to the study of composition operators.
2. Preliminaries
2.1. Spaces of analytic functions
We let denote the open unit disk in the complex plane, , and let be the space of functions analytic on . The following classical spaces of analytic functions have received much attention in the study of composition operators. The Hardy space is defined by
where is the Lebesgue arc-length measure on the unit circle. For , the standard weighted Bergman space is defined by
where is the Lebesgue area measure normalized so that ; the Dirichlet space is given by
Recall that a reproducing kernel Hilbert space with inner product has the property that for each , there is a unique function such that
For the Hardy and weighted Bergman spaces, the kernels have a similar form:
on and
on with . On the Dirichlet space the kernel takes on a more complicated form,
where denotes the principal branch of the logarithm.
Though often convenient from the computational point of view, presenting the norms for these spaces in terms of integrals obscures the relationship between the spaces, though it is somewhat revealed in the representations of the reproducing kernels. To make the relationship more explicit, we can consider the spaces with a series norm, (equal to the norm given above for the Hardy and Dirichlet spaces, but only equivalent to the Bergman norm):
With these characterizations, we see the obvious containment relationship but more importantly it is apparent that there are other spaces that deserve consideration. One particular space that has received more attention as of late is which can be defined with a series norm or an equal integral norm,
While this space is also a reproducing kernel Hilbert space, one of the first difficulties encountered in this setting is that there is not a “nice” closed form for the reproducing kernel functions with respect to this norm. The reason for this is the fact that, on , the kernel for evaluation at takes the form
however we cannot identify this sum as an elementary function; for more on this, see [9]. We will discuss how to overcome this obstacle shortly.
In general, for we define the weighted Dirichlet space
These are all Hilbert spaces and we see that with equal norm; for , the standard weighted Bergman space with an equivalent norm. Also, and with equal norm. Moreover, if , with continuous inclusion and the analytic polynomials are dense in .
As is the case with , there are no nice closed forms for the reproducing kernels for when which is a drawback since these kernels are quite useful in the study of composition operators. In particular, if is a functional Hilbert space of functions on the disk and is bounded on , then for , we have
To overcome this drawback, in many instances we will consider the linear functional for evaluation of the first derivative at a point in the disk; for a reference see [7] Theorem 2.16. If for , these functionals are bounded, and thus the Riesz Representation Theorem ([6] Theorem I.3.4) guarantees the existence of a function, denoted for , such that
As with the point evaluation kernels, these kernels behave predictably under the action of the adjoint of a composition operator and it is easy to see that
In particular, we will employ these in the spaces and . On , we find that
whereas on we have
2.2. Julia Carathéodory Theorem
For an analytic self-map of the unit disk, the angular derivative plays a key role in determining compactness of composition operators on many of the spaces in question. For and , a nontangential approach region at is defined by
and a function has a nontangential limit at if exists in each nontangential region . When a nontangential limit exists, we denote it by Furthermore, if is a self-map of the disk and , then has finite angular derivative at if there exists such that
exists as a (finite) complex value. One obvious implication of the existence of a finite angular derivative for at is that has nontangential limit of modulus 1 at The Julia-Carathéodory Theorem provides several other implications; for a reference see [7] Theorem 2.44.
Theorem 2.1 (Julia-Carathéodory Theorem).
For an analytic self-map of and , the following are equivalent:
-
(a)
, where the limit is taken as unrestrictedly in ;
-
(b)
has finite angular derivative at ;
-
(c)
both and have finite nontangential limits at , with where
Moreover, when these conditions hold, we have , i.e. , and
In characterizing compact differences, we will be interested in maps which have similar behavior on the boundary of . If and are two self-maps of the unit disk both with finite angular derivative at , then we say that the maps have the same first order data at if (as radial limits) and . If in addition and are twice differentiable at (meaning that if we consider and as functions on , then they are twice continuously differentiable) with , then we say that and have the same second order data at .
2.3. Linear fractional self-maps of the disk
Recall that a linear fractional map has the form ; the condition that is necessary and sufficient for such a to be a univalent, nonconstant mapping of the Riemann sphere onto itself. Our focus here is on linear fractional self-maps of the disk and we point the reader to Chapter 0 of [20] for more information. With this narrowed focus we may assume that , in which case we can represent in the form .
It is easy to see that every linear fractional self-map of will induce a bounded composition operator on the weighted Dirichlet spaces under consideration. This is due to the fact that the map is continuous, and hence bounded, on . Of particular interest here is the role of second order data. The following statement seems to be known but we were unable to find a proof in the literature.
Lemma 2.2.
If and are linear fractional self-maps of with the same second order data at a point in , then .
Proof.
Assume that and are nonconstant linear fractional self-maps of with the same second order data. By composing with rotations, we may assume without loss of generality that . Thus we have the following assumptions:
-
(i)
;
-
(ii)
;
-
(iii)
.
First note that since each of the above quantities exist as finite complex values. Now, considering (ii) and (iii), it immediately follows that
and hence . Substituting this into (i), we have or . Moreover, this same substitution in (ii) implies that
or
Thus it must be the case that , since . It is then immediate that and hence . ∎
2.4. Calderón’s complex interpolation
Let and be a compatible pair of Banach spaces in the sense of Calderón (see [5]). Both and may be continuously embedded in the complex topological vector space when equipped with the norm
In addition, the space , with norm
maps continuously into and . In this note we will further assume that the space is dense in both and and define the interpolation algebra to be the set of all linear operators that are both 0-continuous and 1-continuous. The interpolation algebra defined above first appeared in the -space setting in [2]; for properties and applications to the study of spectra, see [1], [10], [16], and [17].
For a Banach space , we let denote the set of all bounded operators on . By continuity any operator induces a unique operator , . For , let be the interpolation space obtained via Calderón’s method of complex interpolation; it follows then that is dense in and also induces a unique operator satisfying
To apply interpolation techniques to our study, we first verify that the weighted Dirichlet spaces can be interpreted as interpolation spaces. One can see this by considering these spaces as weighted -spaces or by considering the techniques developed in [13]; a direct proof of this nature can be found in [16].
Proposition 2.3.
Suppose . If with , then with the series norm given above.
One appealing property of working with composition operators on these spaces in the interpolation setting is the nested behavior mentioned earlier. Specifically, , for , with continuous inclusion, so . Combining this with the fact that the analytic polynomials are dense in each weighted Dirichlet space implies that is dense in and . Moreover, MacCluer and Shapiro showed in [12] that boundedness of on implies boundedness on when Thus, for our purposes, it suffices to know that is bounded on the single endpoint space . Furthermore, the fact that we are defining our operators on a dense subset of each space implies that for the interpolated operator satisfies .
When using interpolated operators, the goal is to determine properties of the operator on an interpolation space based on properties of the operator on the endpoint spaces, or to extrapolate properties from one interpolation space to the other interpolation spaces and/or the endpoint spaces. The result that we will make use of here is Cwikel’s compactness result which extrapolates compactness on one interpolation space to the other interpolation spaces, but not necessarily to the endpoint spaces.
Theorem 2.4 ([8] Theorem 2.1).
If and are bounded and is compact for some , then is compact for all .
3. Compact Differences of Composition Operators
As mentioned previously, our goal is to extend the work of Moorhouse [14]. There the author characterized when two composition operators have compact difference on the weighted Bergman spaces ( in our scale of weighted Dirichlet spaces) and provided partial results for weighted Dirichlet spaces in the range . Here we extend some of those results to the entire range of weighted Dirichlet spaces. We first work on the Dirichlet space by modifying techniques used in the Hardy and weighted Bergman space setting. We then discuss extending this to the space . Finally, we discuss the compact difference problem on an arbitrary weighted Dirichlet space where we apply Calderón’s complex interpolation.
Lemma 3.1.
Let and be analytic self-maps of such that and are bounded on . Further assume that and have finite angular derivative at some point . If is compact on , then and have the same first order data at .
Proof.
First note that it suffices to prove the statement in the case when since the rotations of the disk give rise to unitary operators on . By the Julia-Carathéodory Theorem it follows that and by hypothesis and . For the sake of notation we set . Now, we will show that if and do not have the same first order data then is not compact by showing that the essential norm of is bounded away from 0; in particular we will show that
To this end, we first obtain lower estimates on the norm of acting on the normalized reproducing kernels for evaluation of the first derivative; for we have
and
Considering the action of the adjoint and the formulas for these kernels and their norms in , we see that previous line is equal to
By the Julia-Carathéodory Theorem
from which it follows that
Next we consider two cases. If (as a radial limit), then we can find a sequence increasing to 1 such that . Then and the fact that guarantee us that
This shows that in this case
(3.1) |
For the second case suppose that (as a radial limit) but . Observe that
which equals
For , consider the boundary of a nontangential approach region
As along , the Julia-Carathéodory Theorem guarantees us that
Thus for , by choosing sufficiently large, we may find a sequence approaching 1 along such that for large enough it follows that
Equivalently, for , we may find a sequence converging to 1 nontangentially such that
for sufficiently large. Thus we see that
for all with , and hence in this case the estimate from (3.1) also holds.
To show that , recall that the normalized kernel functions converge weakly to zero as (see [7] Proposition 7.13). If we then consider any compact operator , it must then be the case that
as . Combining this with the estimate
it follows that
completing the proof.∎
Our next result is a Dirichlet space analog of [14] Theorem 4. The statement there concerns weighted Dirichlet spaces with . Our statement takes a slightly different form in that the derivatives of and appear; this is due to the fact that we are using the kernels for evaluation of the first derivative.
Theorem 3.2.
Let and be analytic self-maps of such that and are bounded on and define
for . If is compact on , then
Before giving the proof, notice that the quantity is simply the pseudo-hyperbolic distance between and and thus we have the well known equality
Proof.
We again argue by contrapositive and assume that
(3.2) |
To show that is not compact, we will show that there is a sequence in with such that
Since weakly as , we will conclude that , and hence , is not compact.
As in the proof of Lemma 3.1, for we have
which is greater than or equal to
(3.3) |
Manipulating the third term here,
which is equal to
or, more simply,
Substituting into the expression in (3.3) and factoring we see that
As we are assuming that the limit in Eqn. (3.2) is not 0, it must be the case that there is a sequence in with such that either
or
does not converge to 0. Since both the sequences and are bounded (by the boundedness of and together with the fact that for all ), we may, by passing to a subsequence if necessary, assume that and with either or . By symmetry we may assume that . By passing to a further subsequence if necessary, we may also assume that .
First we note that . Indeed, if , then it must be the case that
but this contradicts the fact that is bounded. Thus we may (by passing to another subsequence if necessary) assume that
Similarly, the boundedness of implies that we may assume
Now, if , then
On the other hand, if , then
In either case,
as desired.∎
In the case of , the proofs are nearly identical to those just given for except for the fact that the kernel functions take a slightly different form in ; for a reference we point the reader to [9]. Notice also that the hypotheses of Lemma 3.3 are slightly altered. This is due to the fact that on , the boundedness of implies that has finite angular derivative at any point with ([7] Theorem 4.13).
Lemma 3.3.
Let and be analytic self-maps of such that and are bounded on . Further assume that there exists such that . If is compact on , then and have the same first order data at .
The following theorem should be compared to the result of Theorem 3.2 for the Dirichlet space and [14] Theorem 4. Here we see the square of the modulus of the derivative appearing. Again, this difference in form is due to the use of the kernel for evaluation of the first derivative in .
Theorem 3.4.
Let and be analytic self-maps of such that and are bounded on . If is compact on , then
We close with our main theorem and an interesting corollary for one particular class of maps.
Theorem 3.5.
Let and be analytic self-maps of . Let be the set of points with and similarly for . Further suppose that .
-
(a)
Suppose and are bounded on . If and have second order data at each point and is compact on , then and have the same second order data at each point .
-
(b)
Let and suppose and are bounded on for some with . If and have finite angular derivative and second order data at each point and is compact on , then and have the same second order data at each point .
Proof.
For (a), we know that and have the same first order data at each by Lemma 3.3. If , then by [14] Proposition 1 there is a sequence in with , i.e. ,such that and
Since , this contradicts Theorem 3.4 as we are assuming that is compact on , and hence
For (b), it suffices to prove the result for with ; the other cases follow from [14] Theorem 6 (we will actually appeal to this result to obtain our conclusion momentarily). Choose and such that . Then it must be the case that and are interpolation spaces for the pair . Furthermore, by Theorem 2.4, we know that is compact on . Appealing to [7] Theorem 9.16 we see that and must have the same first order data at each ; [14] Theorem 6 guarantees us that and have the same second order data at each . ∎
As in [14], we can extend the previous result to a stronger result for the class of linear fractional symbols. We first have one final lemma which is also a known result on a variety of spaces; we include references where appropriate and a proof for the spaces not explicitly referenced. Recall again that any nonconstant linear fractional self-map of is univalent and induces a bounded composition operator on each weighted Dirichlet space.
Lemma 3.6.
Let and let be a linear fractional self-map of . Then is compact on if and only if .
Proof.
Corollary 3.7.
Let and be linear fractional self-maps of and let . Then is compact on if and only or both and are compact on .
Proof.
If or both and are compact on , then it is clear that is compact on . Conversely, suppose that is compact on . If either or is compact on , then both and are compact on by the fact that the compact operators form a linear subspace within the set of all bounded operators on . Thus we may further assume that neither nor is compact on . It follows now by Lemma 3.6 that and , i.e. and have contact with the boundary of .
We now consider a few cases. For , see [14] Corollary 2. Next assume that . Then Lemma 3.3 implies that and have the same first order data. Applying Theorem 3.5(a) we see that and must also have the same second order data and hence by Lemma 2.2. A similar argument holds for but we will use interpolation.
Next consider . We again use an interpolation scheme and choose and with . Here we have and as interpolation spaces for the pair . Since is compact on , it follows by Theorem 2.4 that is compact on and thus and have the same first order data by [7] Theorem 9.16. Theorem 3.5(b) then implies that and have the same second order data and hence by Lemma 2.2. ∎
Acknowledgments
Part of this work is taken from the second author’s Ph.D. dissertation written at the University of Virginia under the direction of Professor Barbara D. MacCluer.
References
- [1] Bruce A. Barnes, Continuity properties of the spectrum of operators on Lebesgue spaces, Proc. Amer. Math. Soc. 106 (1989), no. 2, 415–421. MR 969515
- [2] by same author, Interpolation of spectrum of bounded operators on Lebesgue spaces, Proceedings of the Seventh Great Plains Operator Theory Seminar (Lawrence, KS, 1987), vol. 20, 1990, pp. 359–378. MR 1065835
- [3] Paul S. Bourdon, Components of linear-fractional composition operators, J. Math. Anal. Appl. 279 (2003), no. 1, 228–245. MR 1970503
- [4] David M. Boyd, Composition operators on the Bergman space, Colloq. Math. 34 (1975/76), no. 1, 127–136. MR 407644
- [5] Alberto P. Calderón, Intermediate spaces and interpolation, the complex method, Studia Math. 24 (1964), 113–190. MR 167830
- [6] John B. Conway, A course in functional analysis, second ed., Graduate Texts in Mathematics, vol. 96, Springer-Verlag, New York, 1990. MR 1070713
- [7] Carl C. Cowen and Barbara D. MacCluer, Composition operators on spaces of analytic functions, Studies in Advanced Mathematics, CRC Press, Boca Raton, FL, 1995. MR 1397026
- [8] Michael Cwikel, Real and complex interpolation and extrapolation of compact operators, Duke Math. J. 65 (1992), no. 2, 333–343. MR 1150590
- [9] Katherine C. Heller, Composition Operators on S2(D), ProQuest LLC, Ann Arbor, MI, 2010, Thesis (Ph.D.)–University of Virginia. MR 2844199
- [10] Domingo A. Herrero and Karen Saxe Webb, Spectral continuity in complex interpolation, Math. Balkanica (N.S.) 3 (1989), no. 3-4, 325–336. MR 1048054
- [11] Barbara D. MacCluer, Components in the space of composition operators, Integral Equations Operator Theory 12 (1989), no. 5, 725–738. MR 1009027
- [12] Barbara D. MacCluer and Joel H. Shapiro, Angular derivatives and compact composition operators on the Hardy and Bergman spaces, Canad. J. Math. 38 (1986), no. 4, 878–906. MR 854144
- [13] John E. McCarthy, Geometric interpolation between Hilbert spaces, Ark. Mat. 30 (1992), no. 2, 321–330. MR 1289759
- [14] Jennifer Moorhouse, Compact differences of composition operators, J. Funct. Anal. 219 (2005), no. 1, 70–92. MR 2108359
- [15] Eric A. Nordgren, Composition operators, Canadian J. Math. 20 (1968), 442–449. MR 223914
- [16] Matthew A. Pons, The spectrum of a composition operator and Calderón’s complex interpolation, Topics in operator theory. Volume 1. Operators, matrices and analytic functions, Oper. Theory Adv. Appl., vol. 202, Birkhäuser Verlag, Basel, 2010, pp. 451–467. MR 2723292
- [17] Karen Saxe, Compactness-like operator properties preserved by complex interpolation, Ark. Mat. 35 (1997), no. 2, 353–362. MR 1478785
- [18] Joel H. Shapiro, Compact composition operators on spaces of boundary-regular holomorphic functions, Proc. Amer. Math. Soc. 100 (1987), no. 1, 49–57. MR 883400
- [19] by same author, The essential norm of a composition operator, Ann. of Math. (2) 125 (1987), no. 2, 375–404. MR 881273
- [20] by same author, Composition operators and classical function theory, Universitext: Tracts in Mathematics, Springer-Verlag, New York, 1993. MR 1237406
- [21] Joel H. Shapiro and Peter D. Taylor, Compact, nuclear, and Hilbert-Schmidt composition operators on , Indiana Univ. Math. J. 23 (1973/74), 471–496. MR 326472