This paper characterizes the spectrum of certain composition operators on the space of holomorphic functions, revealing a diagonalization structure and contrasting spectral properties with those on Banach spaces.
Contribution
It provides explicit spectral descriptions for composition operators on Fréchet spaces, extending Koenigs' methods and contrasting with Banach space cases.
Findings
01
Spectrum includes zero and powers of the derivative at the fixed point.
02
Essential spectrum is reduced to zero.
03
Spectral projections are explicitly constructed.
Abstract
Let φ:D→D be a holomorphic map with a fixed point α∈D such that 0≤∣φ′(α)∣<1. We show that the spectrum of the composition operator Cφ on the Fr\'echet space Hol(D) is {0}∪{φ′(α)n:n=0,1,⋯} and its essential spectrum is reduced to {0}. This contrasts the situation where a restriction of Cφ to Banach spaces such as H2(D) is considered. Our proofs are based on explicit formulae for the spectral projections associated with the point spectrum found by Koenigs. Finally, as a byproduct, we obtain information on the spectrum for bounded composition operators induced by a Schr\"oder symbol on arbitrary Banach spaces of holomorphic functions.
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Full text
In Koenigs’ footsteps: diagonalization of composition operators
W. Arendt
Wolfgang Arendt, Institute of Applied Analysis, University of Ulm. Helmholtzstr. 18, D-89069 Ulm (Germany)
Let φ:D→D be a holomorphic map with a fixed point α∈D such that 0≤∣φ′(α)∣<1. We show that the spectrum of the composition operator Cφ on the Fréchet space Hol(D)
is {0}∪{φ′(α)n:n=0,1,⋯} and its essential spectrum is reduced to {0}. This contrasts the situation where a restriction of Cφ to Banach spaces such as H2(D) is considered.
Our proofs are based on explicit formulae for the spectral projections associated with the point spectrum found by Koenigs. Finally, as a byproduct, we obtain information on the spectrum for bounded composition operators induced by a Schröder symbol on arbitrary Banach spaces of holomorphic functions.
Key words and phrases:
Composition operators, Fréchet space of holomorphic functions, Banach spaces of holomorphic function, spectrum, spectral projections, compactness
Let φ be a holomorphic self-map of the open unit disc D and let Hol(D) be the algebra of holomorphic functions on D which is a Fréchet space endowed with the topology of uniform convergence on every compact subsets of D.
Denote by Aut(D) the group of all automorphisms on D. It is a well-known fact that such functions have the form z↦eiθ1−azz−a where a∈D and θ∈R.
The functional equation f∘φ=λf where λ∈C is called the
homogeneous Schröder equation.
For those φ which are not automorphisms of D and which admit a fixed point α∈D, the solution was found by G. Koenigs in 1884. Note that a fixed point in D is unique whenever it exists.
By N0 we denote the set of all nonnegative integers and let N=N0∖{0}={1,2,…}.
Theorem 1.1** (Koenigs’ theorem).**
Let φ be a holomorphic map on D such that φ(D)⊂D, φ∈Aut(D) and assume that φ has a fixed point α∈D with λ1:=φ′(α). Then the following holds:
•
If λ1=0 the equation f∘φ=λf has a nontrivial solution f∈Hol(D) if and only if λ=1 and the constant functions are the only solutions.
•
If λ1=0, then:
(a)
the equation f∘φ=λf has a nontrivial solution f∈Hol(D) if and only if λ∈{λ1n:n∈N0};
(b)
there exists a unique function κ∈Hol(D) satisfying
[TABLE]
(c)
for n∈N0 and f∈Hol(D), f∘φ=λ1nf if and only if f=cκn for some c∈C.
The case where φ′(α)=0 is the most interesting one. To be consistent with [23], we use the following terminology.
Definition 1.2**.**
A Schröder map is a holomorphic function φ satisfying the following conditions:
φ(D)⊂D, φ∈Aut(D), ∃α∈D such that φ(α)=α and φ′(α)=0.
The function κ associated to a Schröder map in Theorem 1.1 is called the Koenigs’ eigenfunction of φ.
As a consequence of the Schwarz lemma [19], a holomorphic self-map φ of D with a fixed point α∈D is a Schröder map if and only if 0<∣φ′(α)∣<1.
Moreover, Koenigs’ eigenfunction κ is then obtained as the limit of λnφn in Hol(D) as n→∞, where φn=φ∘⋯∘φ.
The aim of this paper is to study the non homogeneous Schröder equation
[TABLE]
where λ∈C and g∈Hol(D) are given and f∈Hol(D) the solution.
As in Koenigs’ work, we consider the case where φ∈Aut(D) and φ has a fixed point α in D.
The study of the homogenenous Schröder equation can be reformulated from an operator theory point of view in the following way:
consider the composition operator Cφ:Hol(D)→Hol(D) given by Cφ(f)=f∘φ. We denote by σ(Cφ) the spectrum and by σp(Cφ) the point spectrum of Cφ.
Thus (1) has a unique solution for all g∈Hol(D) if and only if λ∈σ(T). Moreover, Koenigs’ theorem implies that σp(Cφ)={λn:n∈N0}.
Our main result consists in finding ”the spectral projections” associated with λn=λ1n. The difficulty is that these spectral projections are not defined since a priori we do not know that the λn are isolated in the spectrum.
We define projections Pn of rank 1 such that PnCφ=CφPn=λnPn.
Using these ”spectral” projections we then show that actually the spectrum of the composition operator Cφ on Hol(D) is given by
[TABLE]
This looks very similar to spectral properties of compact operators. But we show that the operator Cφ is compact on Hol(D) only in very special situations.
Nevertheless, our results show that the operator Cφ on Hol(D) is always a Riesz operator; i.e. its essential spectrum is reduced to {0}. This contrasts the situation where a restriction T=Cφ∣H2(D) is considered. Indeed, in this case, the essential spectrum is a disc with re(T)>0 in many cases. Actually, much is known on such restrictions to spaces such as Hp(D), Bergman space, Dirichlet space and others. See the monographs [6] of Cowen and MacCluer and of Shapiro [21], as well as the articles [5, 10, 11, 14, 15, 16, 22, 24, 26] to name a few.
Our results on Hol(D) allow us to prove some spectral properties of the restriction T of Cφ to some invariant Banach space X↪Hol(D). For instance we will see that 0∈σ(T) if and only if dimX=∞, and in this case we show that the essential spectrum σe(T) is the connected component of [math] in σe(T).
The paper is organized as follows. In Section 2 we characterize composition operators on Hol(D) as the non-zero algebra homomorphisms. This is also an interesting example of automatic continuity. We also characterize when Cφ is compact as operators on Hol(D) (which is much more restrictive than on H2(D), for example). Section 3 is devoted to the definition and investigation of the spectral projections. The main theorem determining the spectrum of Cφ in Hol(D) is established in Section 4. Finally, we deduce spectral properties of restrictions to arbitrary invariant Banach spaces in Section 5.
2. Composition operators on Hol(D)
Let φ be a holomorphic self-map of D. We define the composition operator Cφ on Hol(D) by Cφ(f)=f∘φ. Then Cφ is in L(Hol(D)) the algebra of linear and continuous operators on Hol(D); indeed the linearity is trivial and the continuity follows from the definition of the topology of the Fréchet space (uniform convergence on compact subsets of D) and the continuity of φ.
The next proposition is an algebraic characterization of composition operators. Note that Hol(D) is an algebra. An algebra homomorphism A:Hol(D)→Hol(D) is a linear map satisfying
[TABLE]
Proposition 2.1**.**
Let A:Hol(D)→Hol(D) be linear.
The following assertions are equivalent.
(i)
There exists a holomorphic map φ:D→D such that A=Cφ;
(ii)
A* is an algebra homomorphism different from [math];*
(iii)
A* is continuous and Aen=(Ae1)n for all n∈N0.*
Here we define en∈Hol(D) by en(z)=zn for all z∈D and all n∈N0.
For the proof we use the following well-known result.
Lemma 2.2**.**
Let L:Hol(D)→C be a continuous algebra homomorphism, L=0. Then there exists z0∈D such that Lf=f(z0) for all f∈Hol(D).
Proof.
Since Lf=L(f⋅e0)=L(f)L(e0) for all f∈Hol(D) and since L=0, it follows that L(e0)=1. Set z0:=Le1.
Then z0∈D. Indeed, otherwise g(z)=z−z01 defines a function g∈Hol(D) such that (e1−z0e0)g=e0. Hence
[TABLE]
a contradiction.
For f∈Hol(D) such that f(z0)=0, we have Lf=0. Indeed, since there exists g∈Hol(D) such that f=(e1−z0e0)g, it follows that L(f)=(L(e1)−z0L(e0))L(g)=0.
For an arbitrary f∈Hol(D), note that h:=f−f(z0)e0 satisfies h(z0)=0. Hence 0=L(h)=L(f)−f(z0).
∎
Remark 2.3**.**
We are grateful to H.G. Dales and J. Esterle for helping us with Lemma 2.2. For much more information about automatic continuity, we refer to the monograph of Dales [7] and
the survey article of Esterle [9].
(ii)⇒(i): since A=0, it follows as in Lemma 2.2 that Ae0=e0. Let z∈D. Then L(f):=(Af)(z) is an algebra homomorphism and L(e0)=1. By Lemma 2.2, there exists φ(z)∈D such that (Af)(z)=f(φ(z)) for all f∈Hol(D). In particular φ=Ae1∈Hol(D).
(iii)⇒(ii): it follows from (iii) that A(fg)=A(f)A(g) if f and g are polynomials. Since the set of polynomials is dense in Hol(D) and since the multiplication is continuous, (ii) follows.
(i)⇒(iii) is trivial. ∎
For our purposes, the following corollary is useful.
Corollary 2.4**.**
Let X=Hol(D) and φ a holomorphic self-map of D. The following assertions are equivalent:
(i)
Cφ* is invertible in L(Hol(D));*
(ii)
φ* is an automorphism of D.*
Proof.
(ii)⇒(i) is clear since Cφ−1Cφ=CφCφ−1=Id, where Id denotes the identity map on X.
(i)⇒(ii): let Cφ be invertible, A=Cφ−1. Then A is an algebra homomorphism. By Proposition 2.1 there exists a holomorphic map ψ:D→D such that A=Cψ. Then
[TABLE]
Thus φ is an automorphism and ψ=φ−1.
∎
Next we want to characterize those φ for which Cφ is compact on Hol(D). The reason of this investigation is the following.
One of our main points in the article is to show that the spectral properties of a composition operator Cφ for φ:D→D with interior fixed point looks very much to what one knows from compact operators. However, as we will show now, for composition operators on Hol(D), compactness is a very restrictive condition.
Recall that V⊂Hol(D) is a neighborhood of [math] if and only if there exist a compact subset K⊂D and ε>0 such that
[TABLE]
A linear mapping T:X→X where X is a Fréchet space, is called compact if there exists a neighborhood V of [math] such that TV is relatively compact. Each compact linear mapping is continuous. We refer to Kelley–Namioka [13] for these notions and properties of compact operators.
Theorem 2.5**.**
Let φ:D→D be holomorphic. The following assertions are equivalent:
(i)
Cφ* is compact as operator from Hol(D) to Hol(D);*
(ii)
supz∈D∣φ(z)∣<1.
Proof.
(i)⇒(ii): assume that φ(D)⊂rD for all 0<r<1. Let V be a neighborhood of [math]. We show that Cφ(V) is not relatively compact. There exists 0<ε<1 and 0<r0<1 such that
[TABLE]
Thus it is sufficient to show that Cφ(V0) is not relatively compact.
By our assumption there exists w0∈D such that z0:=φ(w0)∈r0D. Then there exist r0<r1<1 and ρ>0 such that r1D∩D(z0,ρ)=∅.
The set K:=r0D∪{z0} is compact and C∖K is connected. Let n∈N0 and define hn by
[TABLE]
Set Ω:=r1D∪D(z0,ρ).
Then K⊂Ω and hn:Ω→C is holomorphic. By Runge’s theorem, there exists a polynomial pn:C→C such that ∣pn(z)−hn(z)∣<ε for all z∈K.
This implies that pn∣D∈V0 and ∣pn(z0)∣≥n.
Since ∣Cφ(pn)(w0)∣=∣pn(z0)∣≥n, the sequence (Cφpn)n∈N0 has no convergent subsequence.
(ii)⇒(i): Assume that supz∈D∣φ(z)∣=:r0<1. The set
[TABLE]
is a neighborhood of [math]. Let f∈V. Since φ(D)⊂r0(D), one has ∣f(φ(w))∣<1 for all w∈D. Now it follows from Montel’s theorem that CφV is relatively compact in Hol(D). ∎
Remark 2.6**.**
The same characterization of compact composition operators is valid in some special Banach spaces of holomorphic functions, for example X=H∞(D) [25]. However on H2(D), the class of mappings φ such that Cφ is compact is much larger [6].
3. Diagonalization of composition operators
In this section we show that composition operators Cφ on Hol(D) can be diagonalized if the symbol φ is a Schröder map.
For the following we fix the holomorphic function φ:D→D, with interior fixed point α=φ(α)∈D and suppose that φ∈Aut(D), φ′(α)=0. We set λn=φ′(α)n for n∈N0. Thus λ1∈D by the Schwarz lemma and ∣λn∣ tends to [math] as n→∞. The range of an operator T is denoted by rgT. We denote by κ Koenigs’ eigenfunction associated with φ. The following properties of κn will be needed.
Lemma 3.1**.**
For all n∈N, (κn)(n)(α)=n! and (κn)(l)(α)=0 for l=0,⋯,n−1.
Proof.
Since κ(α)=0 and κ′(α)=1, we get that, as z→α,
[TABLE]
Hence, (κn)(n)(α)=n! and (κn)(l)(α)=0 for l=0,⋯,n−1.
∎
In the following theorem we define inductively a series of rank-one projections which diagonalize the operator Cφ on Hol(D).
Theorem 3.2**.**
Define iteratively rank-one projections Pn∈L(Hol(D)) by
[TABLE]
where g=f−∑k=0n−1Pkf. Then the following holds:
(a)
PnCφ=CφPn=λnPn.
(b)
f(l)(α)=(∑k=0nPkf)(l)(α)* for l=0,⋯,n and f∈Hol(D).*
(c)
There exist complex numbers cn,m (n,m∈N0) such that
[TABLE]
(d)
PnPm=δn,mPn* for all n,m∈N0.*
We deduce the following decomposition property from Theorem 3.2. Let
[TABLE]
and Qn=∑k=0nPk, where Pk is given in Theorem 3.2.
Corollary 3.3**.**
The mappings Qn are projections commuting with Cφ. Moreover {κl:l=0,⋯,n} is a basis of rgQn and ker(Qn)=Holn(α). Thus we have the decomposition
[TABLE]
into two subspaces which are invariant by Cφ.
As a consequence, Cφ∣rgQn is a diagonal operator since Cφ(κl)=λlκl for l=0,⋯,n. Of course, by definition κ0 is the constant function equal to 1.
At first we show (b) inductively. For n=0 it is trivial. Let n≥1 and assume that (b) is true for n−1. Let f∈Hol(D) and 0≤l<n. Since κ(α)=0, (κn)(l)(α)=0 for l<n (by Lemma 3.1), it follows that
[TABLE]
by the inductive hypothesis. For l=n, we have
[TABLE]
since (κn)(n)(α)=n! (see Lemma 3.1).
Thus (b) is proved.
It is clear that (Pnf)∘φ=λnPnf since κn∘φ=λnκn. We show inductively that Pn(f∘φ)=λnPnf. For n=0 this is trivial. Let n≥1 and assume now that Pl(f∘φ)=λlPlf for all l≤n−1. Note that
[TABLE]
where
[TABLE]
by the inductive hypothesis, where g=f−∑k=0n−1Pkf.
It follows that Pn(f∘φ)=n!1(g∘φ)(n)(α)κn. Now let us introduce some more notations in order to compute (g∘φ)(n)(α).
For n∈N, let
[TABLE]
and
[TABLE]
For m=(m1,⋯,mn)∈Jn, set
∣m∣=m1+⋯+mn and note that, for m∈Jn, m∈Kn if and only if ∣m∣<n. For m∈Jn, we also define the following coefficients
[TABLE]
These coefficients are inspired by Faà di Bruno’s Formula: indeed, if g∈Hol(D), then, for every n∈N,
[TABLE]
Since g(∣m∣)(α)=0 by (b), we get
[TABLE]
Thus Pn(f∘φ)=λnPnf for all n∈N0, which implies that PnCφ=CφPn=λnPn for all n∈N0. Thus (a) is proved.
We show inductively that (c) holds for suitable coefficients. It is obvious for n=0 and assume that
Pk has the property for all k≤n−1. Then
[TABLE]
which proves the claim for n.
In order to prove (d), note that by the properties defining the projections and proved previously,
for all k,l∈N0, we have:
[TABLE]
Since λk=λl for l=k, it follows that Plκk=0. Hence PlPk=0 for k=l.
It remains to show that Pn2=Pn, which is equivalent to check that Pnκn=κn. We can show this easily and inductively since Pkκn=0 for k<n and (κn)(n)(α)=n!.
∎
We can now give explicit expressions of Pn for n=0,1,2,3.
Corollary 3.4**.**
For all f∈Hol(D), we have:
[TABLE]
A natural question concerns the density of Span{κn:n∈N0} in Hol(D). The following proposition gives the answer.
Proposition 3.5**.**
The space
Span{κn:n∈N0} is dense in the Fréchet space Hol(D) if and only if φ is univalent.
Proof.
The function φ is univalent if and only if κ is univalent (see [23]). Thus univalence of φ is necessary for the density of Span{κn:n∈N0}. Conversely, assume that κ is univalent. Then Ω:=κ(D) is a simply connected domain. It follows from Runge’s theorem (see [18, Chap. 13 § 1 Section 2]) that the algebra A(Ω) of all polynomials on Ω is dense in Hol(Ω). Composition by κ shows that Span{κn:n∈N0} is dense in Hol(D).
∎
We consider two illustrations.
Example 3.6**.**
(a)
Consider the univalent Schröder symbol φ(z)=2−zz. The Koenigs eigenfunction is κ(z)=1−zz and Ω=κ(D)={z∈C:ℜ(z)>−1/2}.
2. (b)
Let φ(z)=z1+z/2z+1/2 which satisfies φ(0)=0 and φ′(0)=1/2. Since κ∘φ(z)=κ(z)/2, it follows that κ(0)=0=κ(−1/2), which obviously contradics the density of Span{κn:n∈N0} in the Fréchet space Hol(D).
4. The spectrum of composition operators on Hol(D)
In this section we determine the spectrum of Cφ on the Fréchet space Hol(D). We suppose throughout that φ:D→D is a holomorphic map, φ∈Aut(D), with an interior fixed point φ(α)=α∈D, and that
0<∣φ′(α)∣<1.
The case where φ′(α)=0 is treated at the very end of this section.
We let λn=φ′(α)n,n∈N0.
By σ(Cφ) (resp. σp(Cφ)) we denote the spectrum (resp. point spectrum) of Cφ, that is the set {λ∈C:λId−Cφ\mboxisnotbijective} (resp. {λ∈C:λId−Cφ\mboxisnotinjective}).
Note that for λ∈σ(Cφ), (λId−Cφ)−1 is a continuous linear operator on Hol(D) (by the closed graph theorem).
Since φ∈Aut(D), we already know that 0∈σ(Cφ), by Corollary 2.4. Moreover, by Koenigs’ theorem,
[TABLE]
Now we show that the entire spectrum σ(Cφ) is equal to σp(Cφ)∪{0}. This is surprising for several reasons. First of all, the operator Cφ is not compact in general (see Theorem 2.5). Nonetheless its spectral properties on Hol(D) are exactly those of a compact operator (see [27] for the Riesz theory for compact operators on Fréchet spaces which is the same as for Banach spaces). The other surprise comes from the well developed spectral theory of Cφ∣X for invariant Banach space X↪Hol(D), which shows in particular that, on X, the spectrum is much larger in general (see Section 5).
Theorem 4.1**.**
One has
[TABLE]
In order to prove the surjectivity of Cφ−λId on Hol(D) for a complex number λ∈{0}∪{φ′(α)n:n∈N0}, we will use the following lemma.
Lemma 4.2**.**
Let ψ:D→D be holomorphic, ψ∈Aut(D), such that ψ(0)=0. Let g∈Hol(D) and λ∈C∖{0}. Assume that there exist 0<ε<1 and f∈Hol(εD) such that
[TABLE]
Then f has an extension f~∈Hol(D) such that
[TABLE]
Proof.
Let ρ:=sup{r∈[ε,1]:f\mboxhasananalyticextensiononrD}. We show that ρ=1. Assume that ρ<1. Then there exists f~∈Hol(ρD), a holomorphic extension of f, satisfying:
[TABLE]
Since both sides are holomorphic, by the uniqueness theorem, the identity remains true on ρD.
Note that by the Schwarz lemma ψ(rD)⊂rD for all 0<r<1.
It follows also from the Schwarz lemma that there exists ρ<ρ′≤1 such that ψ(ρ′D)⊂ρD. Indeed, otherwise we find (zn)n∈D, ∣zn∣↓ρ such that ∣ψ(zn)∣>ρ. Taking a subsequence we may assume that zn→z and then ∣z∣=ρ and ∣ψ(z)∣≥ρ. This is not possible since ψ is not an automorphism. Now, since
[TABLE]
and since ψ(ρ′D)⊂ρD, it follows that f has a holomorphic extension to ρ′D, a contradiction to the choice of ρ.
∎
First case: α=0. Let λ∈C and λ∈{0}∪{λn:n∈N0}. From Koenigs’ theorem we know
that λId−Cφ is injective. Thus we only have to prove the surjectivity. Let g∈Hol(D) and choose n∈N0 such that ∣λn+1∣<∣λ∣. Since by Corollary 3.3, Hol(D)=rgQn⊕Holn(0) we can write g=g1+g2 where g1∈rgQn and g2∈Holn(0). Since Cφ∣rgQn is a diagonal operator and λ∈σ(Cφ∣rgQn), there exists f1∈rgQn such that λf1−f1∘φ=g1. Next we look at g2. Choose ∣λ1∣<q<1 such that qn+1<∣λ∣. Since limz→0zφ(z)=λ1, there exists 0<ε≤1 such that ∣φ(z)∣≤q∣z∣ for ∣z∣<ε.
Consider the iterates φk:=φ∘⋯∘φ (k times) of φ. Then ∣φk(z)∣≤qk∣z∣≤qkε for ∣z∣<ε. Since g2∈Holn(0), there exists B≥0 such that
[TABLE]
Hence for k∈N0, ∣z∣<ε,
[TABLE]
Since ∣λ∣qn+1<1, the series f0(z):=∑k=0∞λk+1g2(φk(z)) converges uniformly on εD and defines a function f0∈Hol(εD). Moreover, since φ(εD)⊂εD,
[TABLE]
on εD.
It follows from Lemma 4.2 that f0 has a holomorphic extension f∈Hol(D) satisfying λf−f∘φ=g2. This shows that λ∈σ(Cφ) in the case α=0.
Second case: α∈D, α=0. Consider the Möbius transform ψα:D→D defined by ψα(z)=1−αzα−z and note that ψα(0)=α and ψα=ψα−1. Then
φ~:=ψα∘φ∘ψα maps D into D and satisfies φ~(0)=0. Since
[TABLE]
the operators Cφ~ and Cφ are similar. From the first case we deduce that
[TABLE]
∎
For later purposes we extract the following lemma from the previous proof.
Lemma 4.3**.**
Let n∈N0, λ∈C such that ∣λ∣>∣λn+1∣. Then for each g∈Holn(α), there exists a unique f∈Holn(α) solving the inhomogeneous Schröder equation λf−f∘φ=g.
Proof.
Since κk∈Holn(α) for k∈{0,1,⋯,n}, uniqueness follows from Koenigs’ theorem. In order to prove existence, we only have to show that there exists f∈Hol(D) such that λf−f∘φ=g. Then, since Qng=0, f1=f−Qnf∈kerQn=Holn(α) satisfies λf1−f1∘φ=g as well.
In the case α=0 the existence of f follows from the proof of Theorem 4.1. So let α=0. Consider the Möbius transform ψα defined in the proof of Theorem 4.1 and let h=g∘ψα. Then h∈Holn(0). Indeed, h(0)=g(α)=0. Moreover, for l∈{1,⋯,n}, using Faà di Bruno’s formula (see the proof of Theorem 3.2 for notations), we get:
[TABLE]
Consider φ~=ψα∘φ∘ψα. Since φ~(0)=0 we can apply the first case and find f~∈Hol(D) such that λf~−f~∘φ~=h.
Then f:=f~∘ψα∈Hol(D) and
[TABLE]
∎
Our next aim is to show that each Pn is the spectral projection associated with λn for each n∈N. We use the following definition.
Definition 4.4**.**
Let Y be a Fréchet space and S:Y→Y linear and continuous.
(1)
A number λ∈σ(T) is called a Riesz point if λ is isolated and if there exists a decomposition Y=Y1⊕Y2 in closed subspaces which are invariant by S such that:
[TABLE]
It is not difficult to see that this decomposition is unique. The projection P:Y→Y onto Y1 along this decomposition is called the spectral projection associated with the Riesz point λ.
2. (2)
σe(T):={λ∈σ(T):λ\mboxisnotaRieszpoint}* is the essential spectrum and
re(T)=sup{∣λ∣:λ∈σe(T)} is the essential spectral radius.*
3. (3)
T* is a Riesz operator if re(T)=0.*
Remark 4.5**.**
(1)
If X is a Banach space, the existence of the decomposition as in (1) of Definition 4.4 for λ∈σ(T) implies that λ is an isolated point since the set of all invertible operators is open in L(X). This last property is no longer true if X is a Fréchet space (see Example 4.9).
2. (2)
If X is a Banach space, then an isolated point λ∈σ(T) is a Riesz point if and only if λ is a pole of the resolvent whose residuum P has finite rank. In that case P is the spectral projection. Note that
[TABLE]
3. (3)
See **[8]**, in particular **[8, Theorem 3.19]** for other equivalent definitions of Riesz operators on Banach spaces.
Let Pn be the rank-one projections defined in Theorem 3.2 where n∈N0.
Theorem 4.6**.**
The operator Cφ on Hol(D) is a Riesz operator. Moreover, for each n∈N0, the spectral projection associated with λn is Pn.
Proof.
Let n∈N0. We show that λn is a Riesz point with spectral projection Pn. Since PnCφ=CφPn=λnPn and rgPn=Cκn, it follows that the decomposition
[TABLE]
is invariant under Cφ. Moreover, σ(Cφ∣Cκn)={λn}. Thus it suffices to show that (λnId−Cφ)∣kerPn is bijective. Since κn∈kerPn injectivity follows from Koenigs’ theorem. In order to prove surjectivity, let g∈kerPn. Then, by Corollary 3.3, g=g1+g2 where g1∈Span{κm:m=0,⋯,n}=:Z, g2∈Holn(α). Since Png1=Png−Png2=0 and since Cφ∣Z is diagonal, there exists f1∈Z such that λnf1−f1∘φ=g1.
Note that ∣λn∣>∣λn+1∣. Thus it follows from Lemma 4.3 that there exists f2∈Hol(D) such that λnf2−f2∘φ=g2. Therefore f:=f1+f2 solves λnf−f∘φ=g. This shows that λn is a Riesz point and Pn is the associated spectral projection. ∎
We want to prove that a version of the formula in (2), Remark 4.5, remains true for the operator Cφ on Hol(D).
At first we deduce from [27, Lemma 3.2]
that the following holds.
Lemma 4.7**.**
Let z∈D,f∈Hol(D). The functions
[TABLE]
is holomorphic.
This can also be seen directly from our proof of Theorem 4.1.
The following contour formula for Pn will be useful in Section 5.
Lemma 4.8**.**
Let n∈N, ε>0 such that λk∈D(λn,2ε) for all k∈N∖{n}. Then, for all f∈Hol(D)
[TABLE]
Proof.
Write f=(Id−Pn)f+Pnf. The function
[TABLE]
is holomorphic on D(λn,2ε) whereas (λId−Cφ)−1Pnf=λ−λn1Pnf. From this the claim follows. ∎
The spectrum in a Fréchet space may be neither closed nor bounded. Indeed,
here is an example of a composition operator on Hol(D).
Example 4.9**.**
Let r∈(0,1) and the automorphism
[TABLE]
By Corollary 2.4, 0∈σ(Cψ) but σp(Cψ)=C∖{0} since for all λ∈C∖{0} we have
[TABLE]
So, for μ=seiθ with s>0 and θ∈R, gλ∘ψ=μgλ when
[TABLE]
For this reason one defines a larger spectrum, the Waelbroeck spectrum σw(T) in the following way (see [27]).
Let T∈L(Hol(D)). Then
[TABLE]
Here a subset A of Hol(D) is called bounded if
[TABLE]
for all compact subsets K of D.
From the proof of Theorem 4.1 one sees that, in our case, σ(Cφ)=σw(Cφ). Now we can use Fréchet theory (see Theorem 3.11 in [27]). It tells us in particular that for the isolated point λn∈σw(Cφ), there exists a unique projection Rn commuting with Cφ such that
[TABLE]
It is clear that Rn=Pn. Anyhow, we needed to define them differently since a priori it is not clear at all that λn is an isolated point.
Finally, we determine the spectrum of composition operators in the case where the symbol is not Schröder but has an interior fixed point.
Theorem 4.10**.**
Let φ:D→D be holomorphic, α∈D such that φ(α)=α. Assume that φ′(α)=0. Then
[TABLE]
Proof.
Since φ′(α)=0, φ∈Aut(D) and thus, 0∈σ(Cφ) by Corollary 2.4. Since the constant functions are in the kernel of Cφ−Id, 1∈σp(Cφ)⊂σ(Cφ).
By Theorem 1.1, for λ∈{0,1}, Cφ−λId is injective. It remains to check that it is also surjective.
First case: α=0. Then
φn(z)=z2nτn(z) where τn is a holomorphic self-map of the unit disc (τn(D)⊂D follows from the Schwarz lemma). Let g∈Hol(D), g(z)=g(0)+g1(z) where g1∈Hol(D) and g1(z)=zg2(z) with g2∈Hol(D).
Note that (λId−Cφ)(λ−1g(0)1)=g(0)1. Moreover, the series
[TABLE]
uniformly converges on every compact K⊂D∩{∣z∣<∣λ∣} (since ∣z2n∣≤∣z2n∣ for z∈D). Note also that λf−f∘φ=g1 on such K.
The surjectivity of λId−Cφ follows from Lemma 4.2.
Second case: α=0. We proceed as in the proof of Theorem 4.1.
∎
5. Spectral properties on arbitrary Banach spaces
In this section we study spectral properties of composition operators on arbitrary Banach spaces which are continuously injected in Hol(D).
Throughout this section we assume that φ:D→D is holomorphic, φ∈Aut(D) and that there exists α∈D
such that φ(α)=α and φ′(α)=0; i.e. φ is a Schröder function. By κ we denote Koenigs’ eigenfunction.
Let X be a Banach space such that X↪Hol(D) (which means that X is a subspace of Hol(D) and the injection is continuous; see [1] for equivalent formulations). Assume that CφX⊂X and define T:X→X by T=Cφ∣X. Then T∈L(X) by the closed graph theorem.
As before we will consider the spectral projections Pn on Hol(D) and let λn=φ′(α)n, n∈N0. By Theorem 3.2, Pnf=⟨Ψn,f⟩κn, where Ψn is a functional given by
for all f∈Hol(D). This implies that T′Ψn∣X=λnΨn∣X. Thus, if Ψn∣X=0, then λn∈σp(T′)⊂σ(T). We note this as a first result.
Proposition 5.1**.**
Let n∈N0. Assume that Ψn∣X=0. Then
[TABLE]
The following corollary concerns all the
classical Banach spaces X of holomorphic functions on the unit disc.
Corollary 5.2**.**
Assume that en∈X for all n∈N0. Then λn∈σ(T′)⊂σ(T) for all n∈N0.
Proof.
We know that Ψn=0 for all n∈N0. Since the polynomials are dense in Hol(D), it follows that Ψn∣X=0. ∎
It follows from the decomposition result, Corollary 3.3, that the Ψn separate points in Hol(D), i.e. for f∈Hol(D), ⟨Ψn,f⟩=0 for all n∈N0 implies f=0.
Corollary 5.3**.**
If X={0}, then r(T)>0, where r(T) is the spectral radius of T.
Proof.
Since the Ψn, n∈N0, separate the functions of Hol(D), there exists n∈N0 such that Ψn∣X=0. Hence λn∈σ(T) by Proposition 5.1. ∎
We need the following characterization of the finite dimension also for further arguments.
Proposition 5.4**.**
The following assertions are equivalent:
(i)
0∈σ(T);
2. (ii)
for only finitely many n∈N0 one has Ψn∣X=0;
3. (iii)
∃J⊂N0* finite such that X=Span{κl:l∈J};*
4. (iv)
dimX<∞.
Proof.
(i)⇒(ii): Since λn→0 as n→∞, this follows from Proposition 5.1.
(ii)⇒(iii): Let J:={n∈N0:Ψn∣X=0}. It follows from Corollary 3.3 that the Ψn, n∈N0, separate Hol(D). Thus the mapping
[TABLE]
with d=∣J∣ is injective and linear. It follows that dimX≤d.
It follows from Proposition 5.1 that {λn:n∈J}⊂σp(T). Since all λn are different, it follows that dimX≥d. We have shown that dimX=d and σp(T)={λn:n∈J}. Now it follows from Koenigs’ theorem that X=Span{κl:l∈J}.
(iii)⇒(iv) is trivial.
(iv)⇒(i): Since dimX<∞, by Koenigs’ theorem,
[TABLE]
∎
We note the following corollary which will be useful later.
Corollary 5.5**.**
Assume that dimX=∞. Then there exist infinitely many n∈N0 such that λn∈σ(T).
This follows from Proposition 5.1 and Proposition 5.4.
Next we show that each isolated point in the spectrum of T is necessarily a simple pole, and thus equal to some λn.
Recall that if μ is an isolated point of the spectrum, for the resolvent R(λ,T) we have the Laurent development
[TABLE]
which is valid for 0<∣λ−μ∣<δ and δ=dist(μ,σ(T)∖{μ}). Here Ak∈L(X) are the coefficients and A−1=P is the spectral projection associated with μ. Thus the spectral projection is equal to the residuum.
One says that μ∈σ(T) is a simple pole if it is isolated in σ(T) and if dim(rgP)=1. This implies that Ak=0 for k≤−2. Moreover rgP=ker(μId−T) and PT=TP=μP.
Theorem 5.6**.**
Let μ∈C∖{0} be an isolated point of σ(T). Then there exists n∈N0 such that μ=λn and μ is a simple pole. Moreover PnX⊂X and Pn∣X is the spectral projection associated with μ. Here Pn is the projection from Theorem 3.2.
Proof.
Assume that μ∈{λn:n∈N0}, λn=φ′(α)n. Let ε>0 such that D(μ,2ε)∩{λn:n∈N0}=∅. Denote by
[TABLE]
the spectral projection associated with μ. Let f∈X,z∈D.
Since for ∣λ−μ∣=ε, λ∈ρ(Cφ)∩ρ(T), one has:
[TABLE]
it follows from Lemma 4.7 and Cauchy’s theorem that (Pf)(z)=0. Since f∈X,z∈D are arbitrary, it follows that P=0, a contradiction.
Thus μ=λn0 for some n0∈N. Let ε>0 such that λn∈D(λn0,2ε) for all n=n0. Let
[TABLE]
be the spectral projection. It follows from Lemma 4.8 that P=Pn0. Thus P has rank 1 and this means by definition that μ=λn0 is a simple pole.
∎
Remark 5.7**.**
In [1] it was proved that each pole is necessarily simple. Now we know more: each isolated point in the spectrum is a simple pole.
If the spectrum of T=Cφ∣X is countable, then σ(T)⊂{λn:n∈N0}∪{0}.
Proof.
Let U be an open neighborhood of {λn:n∈N0}∪{0} and K:=σ(T)∖U. Then K is compact and countable. If K=∅, then, by Baire’s theorem, K has an isolated point. This is impossible by Theorem 5.6. Thus K=∅. Since U is arbitrary, the claim follows.
∎
Our next aim is to describe the connected component of [math] in σ(T).
Assume that X↪Hol(D) is invariant under Cφ and let T=Cφ∣X, as before, where φ:D→D is the given Schröder map. Let us assume that dimX=∞. Then 0∈σ(T) and the set
We let λn=φ′(α)n where α is the interior fixed point of φ.
By Proposition 5.1, λn∈σ(T) for n∈J.
Moreover, let
[TABLE]
We know that for n∈J0, κn∈X and Tκn=λnκn.
Our main result in this section is the following quite precise
description of the spectrum of T.
Theorem 5.9**.**
Assume that dimX=∞.
Denote by σ0(T) the connected component of [math] in σ(T). Then
[TABLE]
In particular, σ0(T) is the essential spectrum of T.
Of course it may happen that J0=∅. This is the case if and only if σ(T) is connected.
For the proof, we need the following.
Lemma 5.10**.**
*Let σ1 be an open and closed subset of σ(T).
If 0∈σ1, then there exists a finite set J1⊂J0 such that*
[TABLE]
Proof.
Assume that 0∈σ1. Let Γ be a rectifiable Jordan curve such that σ1⊂intΓ and σ(T)∖σ1⊂extΓ. We can choose Γ such that λn∈Γ for all n∈N0, and 0∈extΓ.
Consequently J2:={n∈N0:λn∈intΓ} is finite. Denote by
[TABLE]
the spectral projection with respect to σ1. Let Y:=PX. Then TY⊂Y and σ(T∣Y)=σ1. Let f∈X,z∈D. Then
[TABLE]
for all λ∈Γ. Now we choose ε>0 small enough and deduce from Lemma 4.7 and 4.8 that
[TABLE]
where J1:=J2∩J.
Since T′Ψk∣X=λkΨk∣X for all k∈J1, and since the λk are all different, it follows that the Ψk, k∈J1, are linearly independent. Consequently we find fl∈X such that
⟨Ψk,fl⟩=δkl for k,l∈J1. It follows that the κk, k∈J1, form a basis of Y consisting of eigenvectors of T, Tκk=λkκk, k∈J1. Thus
Let K=σ(T)∖{λn:n∈J0}. Then K is compact and 0∈K. It suffices to show that K is connected.
Let σ1⊂K be open and closed. We have to show that σ1=∅ or σ1=K.
First case: 0∈σ1.
We show that σ1 is open in σ(T). Let z0∈σ1. Then z0=0 and z0=λn for all
n∈J0. Thus there exists ε>0 such that z=λn for all n∈J0 if ∣z−z0∣<ε and, if z∈K, then z∈σ1. Hence also D(z0,ε)∩σ(T)⊂σ1. This proves that σ1 is open in σ(T). It is trivially closed. By Lemma 5.10 there exists a finite set J1⊂J0 such that σ1⊂{λn:n∈J1}.
Since σ1⊂K, it follows that σ1=∅.
Second case: 0∈σ1.
Then K∖σ1=∅ by the first case. Thus σ1=K.
By Corollary 5.5, the point [math] is not isolated in σ(T). Thus 0∈σe(T). It follows that σ0(T)⊂σe(T). Since (by Theorem 5.6) σ(T)∖σ0(T) consists of Riesz points, we conclude that σ0(T)=σe(T).
∎
Of course, it can happen that σ0(T)={0}. Here is a situation where it is bigger.
Corollary 5.11**.**
Let n0∈N0. Assume that λn0∈σ(T) but κn0∈X. Then λn0∈σ0(T). In particular re(T)≥∣λn0∣.
Proof.
If follows from Theorem 5.6 that λn0 is not an isolated point of σ(T). Thus λn0∈{λn:n∈J0}. Hence λn0∈σ0(T). ∎
We cannot expect in the general situation we are considering here to prove more precise results on the geometry of σ0(T). However, for several concrete Banach spaces X, it is known that σ0(T) is a disc. Moreover one can estimate the essential radius re(T):=sup{∣λ∣:λ∈σe(T)} by knowing whether κn∈X or κn∈X. We explain this in the following examples.
Example 5.12**.**
(1)
Let X=H2(D) and let φ:D→D be a Schröder map with fixed point α∈D and Koenigs eigenfunction κ. Then Cφ(X)⊂X. Let T=Cφ∣X. Then it is known
that σ0(T) (=σe(T)) is a disc (see **[6, Theorem 7.30]**). A question which has been investigated is for which n the eigenfunction κn of Cφ lies in X, which means, for which n actually λn=φ′(α)n∈σp(T). This is related to the essential spectral radius re(T).
(a)
One has σ0(T)={0} if and only if κn∈X for all n∈N0
(see **[23, Section 6]**). To say that σ0(T)={0} is the same as saying that T is a Riesz operator. We had seen in Section 4 that Cφ is always a Riesz operator on Hol(D). So the situation is very different if we restrict Cφ to a Banach space.
2. (b)
Let n∈N. Then κn∈X if and only if ∣λn∣>re(T).
Proof.
If ∣λn∣>re(T), then λn∈σp(T). Thus κn∈X by Koenigs’ theorem (Theorem 1.1). The converse implication follows from deep results by Poggi-Corradini [17] and Bourdon–Shapiro [3]. We follow the survey article [23] by Shapiro. Assume that κn∈X. Then κ∈H2n(D). Using the notation of [23, Section 7], this implies that h(κ)≥2n. By [23, (12) in Section 6], one has re(T)=∣λ1∣h(κ)/2. Since ∣λ1∣<1 this implies re(T)≤∣λ1∣n=∣λn∣. We need the strict inequality. Assume that ∣λn∣=re(T). Then h(κ)=2n. By the ”critical exponent result” in [23, Section 8], this implies that κn∈X. thus ∣λn∣>re(T). ∎
3. (c)
The result of (b) can be reformulated by saying that there are no ”hidden eigenvalues” besides possibly λ0. More precisely, if λn is an eigenvalue, then λn∈σe(T). For λ0=1 the situation is different. In Example 3.6 an inner function
φ is defined which is Schröder and [math] at [math]. Thus T=Cφ∣H2 is isometric and non invertible (see **[2, Section 1]** for further informations on isometric composition operators on various Banach spaces). Hence σ(T)=D=σe(T), and thus the eigenvalue λ0=1 is in the essential spectrum.
2. (2)
Also on some weighted Hardy spaces the essential spectrum is a disc. However it can happen that
λn+1<re(T)<λn for some n. In fact Hurst **[10]** considered Schröder
symbols φ which are linear fractional maps with a fixed point α∈D such that φ′(α)∈(0,1) and a second fixed point of modulus one. The Banach spaces on which the composition operators are defined are the weighted Hardy spaces
[TABLE]
where β(n)=(n+1)a, a<0. Recall that for a=−1/2, the Banach space is the classical Bergman space B.
In this case the spectrum is
[TABLE]
and κp∈H2(β) if and only if p<∣a∣+1/2. For a=−1, it follows that λ2<re(T)<λ1, whereas, for a=−1/2, we get re(T)=λ1.
Remark 5.13**.**
By Proposition 5.1 we have seen that the composition operators associated with a Schröder symbol φ are not quasinilpotent on a large class of Banach spaces of holomorphic functions. Note that if φ has a fixed point α∈D such that φ′(α)=0, the description of the spectrum of T:=Cφ∣X may be very different. For example, if φ(z)=z2 and X=zH2(D), then the spectrum of T is the closed unit disc (T is a non-invertible isometry) whereas for X=zB, T is quasinilpotent (see [2, Theorem 2.9]).
Acknowledgments: This research is partly supported by the Bézout Labex, funded by ANR, reference ANR-10-LABX-58. The authors are also grateful to R. Lenoir for stimulating discussions.
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