Realization of functions on the symmetrized bidisc
Jim Agler, N. J. Young

TL;DR
This paper develops a realization and model formula for bounded analytic functions on the symmetrized bidisc, and provides a Pick-type criterion for interpolation problems on this domain.
Contribution
It introduces new formulas and a criterion specifically for functions on the symmetrized bidisc, advancing understanding of their structure and interpolation.
Findings
Established a realization formula for bounded analytic functions on the symmetrized bidisc.
Derived a model formula for these functions.
Proved a Pick-type theorem for interpolation conditions.
Abstract
We prove a realization formula and a model formula for analytic functions with modulus bounded by on the symmetrized bidisc \[ G\stackrel{\rm def}{=} \{(z+w,zw): |z|<1, \, |w| < 1\}. \] As an application we prove a Pick-type theorem giving a criterion for the existence of such a function satisfying a finite set of interpolation conditions.
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Taxonomy
TopicsHolomorphic and Operator Theory · Analytic and geometric function theory · Algebraic and Geometric Analysis
Realization of functions on the symmetrized bidisc
Jim Agler
Department of Mathematics, University of California at San Diego, CA 92103, USA
and
N. J. Young
School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K. and School of Mathematics, Leeds University, Leeds LS2 9JT, U.K.
(Date: 2nd April, 2017)
Abstract.
We prove a realization formula and a model formula for analytic functions with modulus bounded by on the symmetrized bidisc
[TABLE]
As an application we prove a Pick-type theorem giving a criterion for the existence of such a function satisfying a finite set of interpolation conditions.
Key words and phrases:
Analytic functions; Hilbert space model; Schur class; Pick theorem
Partially supported by National Science Foundation grant DMS 1361720, Engineering and Physical Sciences Research Council grant EP/N03242X/1 and by the London Mathematical Society grant 41527
1. Introduction
The fascination of the symmetrized bidisc lies in the fact that much of the classical function theory of the disc and bidisc generalizes in an explicit way to , but with some surprising twists. The original motivation for the study of was its connection with the spectral Nevanlinna-Pick problem [4, 7], wherefore the emphasis was on analytic maps from the unit disc into . However, in studying such maps one is inevitably drawn into studying maps from to ; indeed, the duality between these two classes of maps is a central feature of the theory of hyperbolic complex spaces in the sense of Kobayashi [18].
The idea of a realization formula for a class of functions has proved potent in both engineering and operator theory. Out of hundreds of papers on this topic in the mathematical literature alone, we mention [20, 15, 16, 1, 9, 10, 11, 13]. The simplest realization formula provides an elegant connection between function theory (the Schur class of the disc) and contractive operators on Hilbert space. It is as follows.
Let be an analytic function on such that for all . There exists a Hilbert space , a scalar , vectors and an operator on such that the operator
[TABLE]
and, for all ,
[TABLE]
Conversely, any function on expressible in the form (1.1), (1.2) is an analytic function in satisfying on .
In an earlier paper [8] we gave a realization formula for analytic maps from to the closure of ; in this paper we present the dual notion, a realization formula for analytic maps from to .
For any open set the set of analytic functions on with values in the closed unit disc is called the Schur class of and is denoted by .
We shall use superscripts to denote the components of points in .
For any point and any contractive linear operator on a Hilbert space , we define the operator
[TABLE]
Note that for , and therefore the inverse in equation (1.3) exists.
We shall derive both ‘model formulae’ and a realization formula for functions in . The latter is the following.
Theorem 1.1**.**
Let . There exist a Hilbert space and unitary operators
[TABLE]
such that, for all ,
[TABLE]
Conversely, any function on expressible by the formula (1.5), where are such that the operators in formula (1.4) are unitary, is an analytic function from to .
Both instances of the word ‘unitary’ in the above theorem can validly be replaced by ‘contractive’.
The classical realization formula (1.2) is in terms of a single unitary operator (or contraction), whereas our formula for functions in requires the pair of unitaries (or contractions) (1.4); this is a consequence of the fact that our derivation invokes two separate lurking isometry arguments.
The model formula for functions in is derived in Section 2 from the known model formula for by a symmetrization argument. The realization formula is then deduced from the model formula in Section 3. A second model formula, involving an integral with respect to a spectral measure, is proved in Section 4. Finally a Pick-type interpolation theorem, giving a solvability criterion for interpolation problems in , is demonstrated in Section 5. We also give a realization formula for bounded analytic operator-valued functions on . The proof requires only notational changes from that of Theorem 1.1.
This paper is based on a short course of lectures [2] given by the first-named author at the International Centre for the Mathematical Sciences in Edinburgh in 2014.
Two sources for basic facts about the function theory and geometry of are [17, Chapter 7] and [3, Appendix A].
Many authors have generalized the classical realization formula (1.1) to bounded functions on domains other than the disc. The paper [1] first made it clear that the appropriate class of holomorphic functions for realization theory on certain more general domains is a subclass of , which has become known as the Schur-Agler class of . For the disc, the bidisc and the symmetrized bidisc the Schur-Agler class coincides with the Schur class, and so we have no need for its definition in this paper.
The fact that the Schur and Schur-Agler classes of are equal was proved in [4] (see also [5]) with the aid of Ando’s Theorem on commuting pairs of contractions and a symmetrization argument. In this paper we show that essentially the same argument, only with a different ending, yields a realization formula for functions in . We believe that the symmetrization argument is a significant item in the toolkit of realization theory.
Model formulae and realization formulae for the Schur-Agler class of , for any domain having a matrix-polynomial or even a holomorphic operator-valued defining function, are given in [9, 11], together with several applications. The question therefore arises as to whether has a holomorphic operator-valued defining function, and accordingly whether a realization formula for the Schur-Agler class of can be simply deduced from a known general result. More specifically, is there a continuous operator-valued function on the closure of , holomorphic in , which defines in the following sense?
[TABLE]
If so one immediately obtains a realization formula for the general function in the Schur-Agler class of of the form
[TABLE]
for some contractive (or unitary) operator colligation . It is therefore significant for this paper that the symmetrized bidisc cannot be defined by a matrix-valued holomorphic function [19], nor is it known to be defined by an operator-valued holomorphic function. We say a little more about this question at the end of the paper.
A generalization of the realization theory of the polydisc to much more general domains, based on test functions, has been developed by Dritschel, McCullough and others [13, 14, 10]. We thank a referee for the observation that a realization formula for functions in the Schur-Agler class of can be derived from the ‘abstract realization theorem’ [13, Theorem 2.2] by the choice of the functions
[TABLE]
(for ) as the test functions on . This procedure is essentially carried out in [12], where a realization formula somewhat similar to ours is given [12, Realization theorem, page 5]. However, this approach only yields a realization formula for the Schur-Agler class, not the Schur class, and so to prove Theorem 1.1 in this way one must invoke [4], implicitly utilizing the symmetrization argument we use in this paper.
We are grateful to an anonymous referee for some very helpful remarks which helped us to improve the presentation of this paper.
2. A model formula for
The notion of a Hilbert space model for a function on the polydisc was introduced in [1]. A model on is a pair where is a pair of Hilbert spaces and is a pair of analytic maps from to respectively. If is a function on then is a model of if, for all ,
[TABLE]
It is shown in [1] that a function on belongs to the Schur class if and only if has a model. In this section we shall adapt the notion of model to and prove an analogous result by means of a symmetrization argument.
Definition 2.1**.**
A -model for a function on is a triple where is a Hilbert space, is a contraction acting on and is an analytic function such that, for all ,
[TABLE]
The following is the main result of this section.
Theorem 2.2**.**
Let be a function on . The following three statements are equivalent.
- (1)
; 2. (2)
* has a -model;* 3. (3)
* has a -model in which is a unitary operator on .*
Proof.
(2)(1). Suppose has a -model . By holding fixed in equation (2.2) one can deduce that is analytic on , and on choosing one has
[TABLE]
Now for we have and so the function
[TABLE]
is analytic for in a neighborhood of . Moreover is bounded by on [6, Theorem 2.1, (1)(4)]. By von Neumann’s inequality is a contraction, that is, . Hence, by equation (2.3), .
(3)(2) is trivial. To prove that (1)(3) we first symmetrize the model (2.1) for the Schur class of the bidisc. Denote by superscript the transposition of co-ordinates in , so that
[TABLE]
Say that a function on is doubly symmetric if it is symmetric with respect to in each variable separately, that is, if
[TABLE]
for all .
A doubly symmetric function on that is analytic in and can be written in terms of the elementary symmetric functions and . Specifically, if has a Hilbert space model on the bidisc in the sense of the next proposition, then it induces a function on having a Hilbert space model of the following form.
Lemma 2.3**.**
Let be a doubly symmetric function on such that there exists a model on the bidisc satisfying, for all ,
[TABLE]
Then there exist a Hilbert space , a unitary operator on and an analytic function satisfying
[TABLE]
for all , where and .
Proof.
We shall write in place of throughout the proof.
Replace with and with in equation (2.4) to deduce that
[TABLE]
for all . On averaging equations (2.4) and (2.6) we obtain
[TABLE]
For every define by
[TABLE]
for . Equation (2.7) becomes
[TABLE]
So far we have only used the ‘weak symmetry’ . Now use the hypothesis . On substituting into equation (2.8) we deduce that
[TABLE]
Rearrange the terms in this formula to obtain
[TABLE]
Both sides of this equation factor, to yield
[TABLE]
In other words, the Gramian in of the family of vectors is equal to the Gramian of the family . Hence there exists a linear isometry
[TABLE]
such that
[TABLE]
for all . Extend to a unitary operator on a Hilbert space .
Rearrange equation (2.10) (with replaced by ) to obtain
[TABLE]
or equivalently,
[TABLE]
Therefore, if we define by the formula
[TABLE]
then
[TABLE]
If we substitute these formulae into equation (2.8) we obtain
[TABLE]
where
[TABLE]
Gathering terms in equation (2.15) we find that
[TABLE]
which, in the symmetric variables
[TABLE]
and
[TABLE]
becomes
[TABLE]
Hence
[TABLE]
for all .
From the definition (2.12) of it is clear that is analytic, and from equation (2.11) we have
[TABLE]
Thus , being symmetric, factors through : there exists an analytic function such that, for all ,
[TABLE]
On combining this equation with equation (2.19) we obtain the desired model formula (2.5) for . ∎
We resume the proof of (1)(3) in Theorem 2.2. Let . The function
[TABLE]
belongs to , and therefore, by [1, Theorem 1.12], has a model on , which is to say that
[TABLE]
for all . The left hand side of this equation is clearly a doubly symmetric function of , and so, by Lemma 2.3, there exist a Hilbert space , a unitary operator on and an analytic function satisfying (in terms of the variables defined in equations (2.16) and (2.17))
[TABLE]
By inspection,
[TABLE]
In the notation introduced in Definition 1.3,
[TABLE]
and we have
[TABLE]
For let
[TABLE]
Then is analytic, and equation (2.20) can be written
[TABLE]
Thus is a -model for . Therefore (1)(3). ∎
There is an analogue of Theorem 2.2 for operator-valued functions. It is proved by making only notational changes in the above proof. If are Hilbert spaces, is the Banach space of bounded linear operators from to in the operator norm, then we define the corresponding Schur class to be the set of analytic maps such that is a contraction for all . The notion of -model is extended as follows.
Definition 2.4**.**
A -model for an operator-valued function is a triple where is a Hilbert space, is a contraction acting on and is an analytic function such that, for all ,
[TABLE]
The generalization of Theorem 2.2 is then:
Theorem 2.5**.**
Let be a function from to . The following three statements are equivalent.
- (1)
; 2. (2)
* has a -model;* 3. (3)
* has a -model in which is a unitary operator on .*
Details of the proof of this theorem can be found in [4, Lemmas 3.3 and 3.4], where the result was used to derive a certain integral representation formula [4, Theorem 3.5] and thereafter to show that if is a spectral set for a commuting pair of operators then is a complete spectral set. The fact that the Schur and Schur-Agler classes of coincide then follows by standard manoeuvres based on the Arveson Extension and Stinespring Representation Theorems. In this paper we use Theorem 2.2 and its analogue for operator-valued functions to take a more direct route to realization formulae for and (Theorems 3.1 and 3.2 in the next section).
3. The realization formula
There is a standard way to deduce a realization formula from a model formula with the aid of a ‘lurking isometry’ argument. We shall apply such an argument to derive the following slight strengthening of Theorem 1.1 in the introduction.
Theorem 3.1**.**
Let . There exist a scalar , a Hilbert space , vectors and operators on such that is unitary, the operator
[TABLE]
and, for all ,
[TABLE]
Conversely, if a scalar , a Hilbert space , vectors and operators on are given such that is a contraction and
[TABLE]
then the function on defined by
[TABLE]
belongs to .
Proof.
Let . By Theorem 2.2, has a -model where is a unitary operator on . By the definition of a -model we have
[TABLE]
for all . Rearrange to obtain
[TABLE]
which is to say that the two families of vectors
[TABLE]
in have the same Gramians. Hence there exists an isometry
[TABLE]
such that
[TABLE]
for every . If necessary enlarge the Hilbert space (and simultaneously the unitary operator on ) so that the isometry extends to a unitary operator
[TABLE]
for some vectors . By equation (3.5), for any ,
[TABLE]
Now where
[TABLE]
for in a neighborhood of . The linear fractional map maps onto the open disc with centre and radius
[TABLE]
Therefore, by von Neumann’s inequality,
[TABLE]
But, by [6, Theorem 2.1], the right hand side of this equation is less than one for . Hence is invertible for any , and we may eliminate from equations (3) to obtain the realization formula (3.2) for .
The converse statement is easy since equation (3.4) expresses as a linear fractional transform of the contraction with a contractive coefficient matrix. ∎
Again, there is an analogue for operator-valued functions. The proof above requires only minimal changes.
Theorem 3.2**.**
Let be Hilbert spaces.
If then there exist a Hilbert space , a unitary operator on and a unitary operator
[TABLE]
such that, for all ,
[TABLE]
Conversely, if a Hilbert space , a contraction on and a contraction
[TABLE]
are given, then the function defined by
[TABLE]
belongs to .
4. A second model formula for and spectral domains
The model formula in Section 2 has an alternative expression as an integral formula.
We shall need the rational functions
[TABLE]
for (in the notation of the proof of Theorem 2.2, ). These functions have been used in many papers on . By [6, Theorem 2.1], each maps into .
Now invoke the spectral theorem to rewrite the model formula (2.2). Consider a function . By Theorem 2.2, has a -model in which is a unitary operator on . By the spectral theorem,
[TABLE]
for some -valued spectral measure on . Thus, for ,
[TABLE]
and therefore
[TABLE]
On combining this formula with Theorem 2.2 we obtain the following statement.
Theorem 4.1**.**
Let be a function. Then if and only if there exist a Hilbert space , an -valued spectral measure on and an analytic map such that, for all ,
[TABLE]
One advantage of the integral form of the model formula is that it instantly yields a criterion for to be a spectral domain of a commuting pair of operators. We recall the meaning of this notion.
Definition 4.2**.**
If is a -tuple of pairwise commuting operators and is an open set in we say that is a spectral domain for if and
[TABLE]
The following statement is contained in [4, Theorem 1.2].
Theorem 4.3**.**
Let be a commuting pair of operators acting on a Hilbert space with . Then is a spectral domain for if and only if
[TABLE]
Proof.
Since , the condition is obviously necessary.
Conversely, assume that for all . We need to show that is a spectral domain for , i.e., that
[TABLE]
whenever .
But if , it follows from Theorem 4.1 that can be uniformly approximated by convex combinations of functions of the form
[TABLE]
where and is holomorphic on . It follows that can be approximated in the operator norm by operators of the form
[TABLE]
Since these operators are positive, it follows that is positive, that is, . ∎
5. A Pick theorem for
A standard application of realization formulae is to prove Pick-type theorems, which provide necessary and sufficient conditions for the solvability of interpolation problems. For example, the realization formula for the Schur class of the bidisc in [1] yields the following criterion for analytic interpolation from to .
Let be distinct points in and let belong to . There exists a function in such that for if and only if there exist positive semidefinite matrices and such that
[TABLE]
for .
This result reduces the interpolation problem to the feasibility of a linear matrix equality for matrices, a task which can be efficiently solved by standard engineering packages such as Matlab.
Consider the analogous problem in which the bidisc is replaced by the symmetrized bidisc. Given distinct points in and target points in , we wish to determine whether there exists an analytic function such that for . One way to solve such an interpolation problem is to lift it to the bidisc. Let be the preimages in of the points under the natural map given by
[TABLE]
For any , the set comprises either one or two points, and therefore . It is easily seen that our interpolation problem for is equivalent to the lifted problem on , where is chosen so that and . The Pick criterion (5.1) applies to the lifted problem; since this criterion is necessarily symmetric with respect to the transposition map , it can be rewritten in terms of the symmetrized variables (and ).
However, the model in Theorem 2.2 permits us to obtain directly a criterion for interpolation from to in terms of the symmetrized variables.
Theorem 5.1**.**
Let be distinct points in and let . There exists an analytic function such that for if and only if there exist a Hilbert space , a contraction on and vectors such that
[TABLE]
for .
Proof.
Necessity. Suppose an interpolating function exists. By Theorem 2.2, has a -model, that is, there exist a Hilbert space , a contraction on and an analytic map such that, for all ,
[TABLE]
On choosing , and for we deduce that equation (5.2) holds for all .
Sufficiency. Suppose that exist such that equation (5.2) holds for each , as in the statement of the theorem. Rearrange the equation to obtain
[TABLE]
for all . This means that the family of vectors , in has the same Gramian as the family , also in . Hence there exists an isometry
[TABLE]
such that for each . Extend to a contraction mapping to itself. Then is expressible as a block operator matrix of the form
[TABLE]
for some , vectors and operator on . Since for each ,
[TABLE]
Thus
[TABLE]
and
[TABLE]
for each .
Define a function by
[TABLE]
By Theorem 2.2, , and by equation (5.4),
[TABLE]
∎
Remark 5.2**.**
One can replace ‘there exists a contraction ’ in the statement of Theorem 5.1 by ‘there exists a unitary operator ’.
Another criterion for the solvability of a finite interpolation problem in is given in [12, Theorem 6.1]. It is shown that, in the situation of Theorem 5.1, a desired interpolating function exists if and only if there exists a -valued positive semidefinite kernel on such that an analogue of equation (5.2) holds.
We conclude with an observation about the question raised in the introduction: is there a continuous operator-valued function on the closure of , holomorphic in , such that
[TABLE]
Since a point belongs to if and only if for all , one could try
[TABLE]
where is a dense sequence in . It is then true that is well defined on and , but is discontinuous as a map from to the space of bounded linear operators on with the operator norm. Indeed, for any and ,
[TABLE]
Thus is discontinuous at every point for . Indeed is even discontinuous at these points with respect to the weak operator topology on the space of bounded linear operators on . We leave open the question of whether there exists a continuous holomorphic operator-valued defining function for .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] J. Agler, Operator Theory and Function Theory on the Symmetrized Bidisc, unpublished lecture notes for a short course at the International Centre for the Mathematical Sciences, Edinburgh, July 2014.
- 3[3] J. Agler, Z. A. Lykova and N. J. Young, Geodesics, retracts, and the norm-preserving extension property in the symmetrized bidisc, Memoirs Amer. Math. Soc. , to appear, ar Xiv:1603.04030 .
- 4[4] J. Agler and N. J. Young, A commutant lifting theorem for a domain in ℂ 2 superscript ℂ 2 \mathbb{C}^{2} and spectral interpolation, J. Funct. Anal. 161 (1999) 452–477.
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- 8[8] J. Agler, F. B. Yeh and N. J. Young, Realization of functions into the symmetrised bidisc, in D. Alpay(Ed.), Reproducing kernel spaces and applications. Operator Theory: Advances and Applications 143 (2003) 1-37, Birkhaüser Verlag.
