This paper characterizes surjective isometries on a space of analytic functions with bounded derivatives, extending previous work on linear isometries in Hardy spaces to a broader class of isometries.
Contribution
It provides a complete description of surjective isometries on the space of analytic functions with bounded derivatives, generalizing known results for linear isometries.
Findings
01
Characterization of surjective isometries on the space of functions with bounded derivatives.
02
Extension of previous linear isometry results to non-linear isometries.
03
New insights into the structure of isometries in analytic function spaces.
Abstract
Let H(D) be the linear space of all analytic functions on the open unit disc D and Hp(D) the Hardy space on D. The characterization of complex linear isometries on Sp={f∈H(D):f′∈Hp(D)} was given for 1≤p<∞ by Novinger and Oberlin in 1985. Here, we characterize surjective, not necessarily linear, isometries on S∞.
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TopicsHolomorphic and Operator Theory · Advanced Banach Space Theory · Advanced Topics in Algebra
Full text
Surjective isometries on a Banach space of analytic functions with bounded derivatives
Takeshi Miura∗
Department of Mathematics,
Faculty of Science, Niigata University, Niigata 950-2181 Japan
Let H(D) be the linear space of all analytic functions on the open unit disc D
and Hp(D) the Hardy space on D.
The characterization of complex linear isometries on
Sp={f∈H(D):f′∈Hp(D)} was given
for 1≤p<∞ by Novinger and Oberlin in 1985.
Here, we characterize surjective, not necessarily linear, isometries on S∞.
Key words and phrases:
bounded analytic function, disc algebra, extreme point, isometry, uniform algebra
The first author was supported by KAKENHI Grant Number 20K03650.
1. Introduction and Main results
Let (N,∥⋅∥N) be a real or complex normed linear space.
A mapping T:N→N is said to be an isometry if
[TABLE]
Here we notice that isometries need not be linear. A linear map S:N→N is
an isometry if it preserves the norm in the following sense:
∥S(f)∥N=∥f∥N for f∈N.
Banach [1] gave the characterization of surjective, not necessarily linear,
isometries on the Banach space
of all continuous real valued functions CR(K), K a compact metric space,
with the supremum norm. Many mathematicians have been investigating linear isometries
on various subspaces of the linear space H(D) of all analytic functions on the open unit disc D.
Nagasawa [21] characterized surjective complex linear isometries on uniform algebras.
Let Hp(D) be the Hardy spaces for 1≤p≤∞.
By the characterization of Nagasawa, we see that every surjective complex linear isometry
on H∞(D) is a weighted composition operator.
deLeeuw, Rudin and Wermer [6] obtained the form of surjective complex linear isometries
on H∞(D) and H1(D).
Forelli [9] extended the result by deLeeuw, Rudin and Wermer to the characterization of
complex linear isometries, which need not be surjective, on Hp(D)
for 1≤p<∞ with p=2.
Results for isometries on other spaces of analytic functions were obtained
by Botelho [2], Cima and Wogen [5], Hornor and Jamison [15]
and Kolaski [16].
Let f′ be the derivative of f∈H(D).
Novinger and Oberlin [22] gave the characterization of complex linear isometries
on the space Sp={f∈H(D):f′∈Hp(D)} for
1≤p<∞, p=2 with respect to the following norms: ∣f(0)∣+∥f′∥Hp and
∥f∥∞+∥f′∥Hp, where ∥⋅∥Hp and ∥⋅∥∞ are the usual norm
of Hp(D) and the supremum norm on D, respectively.
In [22], the authors assume no surjectivity of isometries on Sp,
while they do assume that p is finite.
The purpose of this paper is to characterize all surjective, not necessarily linear, isometries
on S∞ with the norms ∥f∥∞+∥f′∥∞, supz∈D(∣f(z)∣+∣f′(z)∣)
and ∣f(a)∣+∥f′∥∞ for a∈D.
The following are the main results of this paper.
Theorem 1**.**
A surjective map T:S∞→S∞ is an isometry with the norms
∥f∥(Σ)=supz∈D∣f(z)∣+supw∈D∣f′(w)∣
or ∥f∥(C)=supz∈D(∣f(z)∣+∣f′(z)∣)
for f∈S∞,
if and only if there exist constants c,λ∈C with ∣c∣=∣λ∣=1 such that
[TABLE]
Theorem 2**.**
Let a∈D.
A surjective map T:S∞→S∞ is an isometry
with the norm ∥f∥(σ)=∣f(a)∣+supw∈D∣f′(w)∣ for f∈S∞,
if and only if there exist constants c0,c1,λ∈C with ∣c0∣=∣c1∣=∣λ∣=1
and b∈D such that,
for a function ρ(z)=λ1−bzz−b defined on D,
[TABLE]
As direct consequences of Theorems 1 and 2,
we have the following results: They give the characterizations of
surjective complex linear isometries on S∞ with respect to
the norms ∥⋅∥(Σ) and ∥⋅∥(σ), which had been open
since 1985 (see [22]).
Corollary 1**.**
If T:S∞→S∞ is a surjective complex linear isometry with the norms
∥f∥(Σ) or ∥f∥(C),
then there exist constants c,λ∈C with ∣c∣=∣λ∣=1 such that
[TABLE]
Corollary 2**.**
Let a∈D and T:S∞→S∞ a surjective complex linear isometry
with the norm ∥f∥(σ).
There exist constants c0,c1,λ∈C with ∣c0∣=∣c1∣=∣λ∣=1
and b∈D such that
[TABLE]
where ρ(z)=λ1−bzz−b for z∈D.
Theorem 1 states that every surjective isometry T on (S∞,∥⋅∥(Σ))
or (S∞,∥⋅∥(C)) is a weighted composition operator, or a combination of
such operator and the complex conjugate, provided that T(0)=0.
The weighted composition operator is induced by constant functions of modulus 1.
If T is a surjective isometry on (S∞,∥⋅∥(σ)) with T(0)=0, then it is represented
by a combination of weighted composition operator, the complex conjugate and
the integral operator. Here, the weighted composition operator is induced by
a constant function of modulus 1 and a Möbius transform on D.
These maps are trivial examples of surjective isometries on S∞ with the norms
∥⋅∥(Σ), ∥⋅∥(C) and ∥⋅∥(σ).
We see that there are no other surjective isometries on the space S∞
by Theorems 1 and 2.
Though our proofs of Theorems 1 and 2 seem to be complicated,
the main idea of them is quite simple.
It is based on, what is so called, extreme point argument:
More explicitly, let C(X) be a Banach space of all continuous complex
valued functions defined on a compact Hausdorff space X.
Let S be an surjective, complex linear isometry from
a subspace A of C(X) onto itself.
Then the adjoint operator T∗ defined on the dual space A∗ of A
preserves extreme points of the closed unit ball A1∗ of A∗.
It is well-known that each extreme point of A1∗ is of the form
λδx for some λ∈C with ∣λ∣=1 and x∈Ch(A),
Choquet boundary for A.
Here, δx denotes the linear functional on A, defined by
δx(f)=f(x) for f∈A.
Since S∗(δx) is an extreme point of A1∗ for x∈Ch(A),
there exist μ∈C with ∣μ∣=1 and y∈Ch(A) such that
S∗(δx)=μδy.
We can define two mappings α and ϕ satisfying
S∗(δx)=α(x)δϕ(x),
which yields S(f)(x)=S∗(δx)(f)=α(x)δϕ(x)(f)=α(x)f(ϕ(x))
for all f∈A and x∈Ch(A).
That is, S is a weighted composition operator.
To apply the above arguments to a surjective isometry T on S∞ in
Theorems 1 and 2,
we first embed S∞ into C(K) for some compact Hausdorff space K,
which depends on the norms of S∞.
In section 2, we define a compact Hausdorff space K and
a complex linear isometry U:S∞→C(K).
Suppose that T is a surjective isometry on S∞.
By the Mazur-Ulam theorem, we may assume that T is real linear.
Setting A=U(S∞), we define S=U∣A∘T∘(U∣A)−1,
and thus S is a surjective real linear isometry from A onto itself.
We introduce a kind of adjoint operator, S∗, between A1∗;
since S is real linear, the adjoint operator S∗ is not a well defined
map on A1∗.
Roughly speaking, we prove that S∗ preserves extreme points,
and thus it is a weighted composition operator.
In section 3, we investigate the map S=U∣A∘T∘(U∣A)−1.
Then we have the form of T=(U∣A)−1∘S∘U∣A, which is
unsatisfactory for our purpose.
We give complete description of surjective isometry T on
S∞ in section 4
2. Preliminaries and an embedding of S∞ into C(K)
In this section, we embed the space S∞ into C(K) for some
compact Hausdorff space K.
Let B be the isometric image of S∞ in C(K).
Then we investigate extreme points of the closed unit ball of the dual space of B.
Such a space K depends on norm on S∞, which is closely related to
Shilov boundary for a uniform algebra.
We prove, in particular, that Choquet boundary coincides with the Shilov boundary.
Let H(D) be the algebra of all analytic functions on the open unit disc
D={z∈C:∣z∣<1} in the complex number field C.
The constant function in H(D), which takes the value only 1, is denoted by 1.
We denote by H∞(D) the commutative Banach algebra of all bounded analytic functions
on D with the supremum norm ∥v∥D=supz∈D∣v(z)∣ for v∈H∞(D).
We define a Banach space S∞ by
[TABLE]
with norms ∥f∥(Σ), ∥f∥(C)
and ∥f∥(σ), given by
[TABLE]
for f∈S∞, where a∈D.
Let A(D) be the disc algebra, that is, the commutative
Banach algebra of all analytic functions
on D which can be extended to continuous functions on the closed unit disc D.
We see that S∞ is a subset of A(D) by [7, Theorem 3.11].
We need some properties of H∞(D).
The maximal ideal space M of H∞(D) is a compact Hausdorff space with
the relative weak*-topology of the dual space of H∞(D).
The Gelfand transform v of v∈H∞(D) is a continuous function on M,
defined by v(η)=η(v) for η∈M. Then
∥v∥M=supη∈M∣v(η)∣=∥v∥D
for every v∈H∞(D).
Let C(M) be the commutative Banach algebra of all continuous complex valued
functions on M with the supremum norm ∥⋅∥M.
In the rest of this paper, we denote by A the uniform algebra
{v∈C(M):v∈H∞(D)} on M, i.e., A is a uniformly closed
subalgebra of C(M)
that contains the constant functions and separates the points of M.
Shilov boundary ∂A for A is the smallest closed subset of M with
the property that ∥v∥∂A=supη∈∂A∣v(η)∣=∥v∥M
for all v∈A.
Let T be the unit circle in C. Then T is the Shilov boundary for A(D).
Hence, ∥f∥T=supz∈T∣f(z)∣=∥f∥D for all f∈A(D).
The identity function on D is denoted by id.
We shall introduce the Choquet boundary Ch(A) for A.
Let A1∗ be the closed unit ball of the dual space of A.
The Choquet boundary Ch(A) for A is the set of all points
η∈M such that the point evaluation functional
δη:A→C at η is an extreme point of A1∗.
It is well-known that
Choquet boundaries are dense in Shilov boundaries for uniform algebras.
In fact, Ch(A)=∂A; the authors of this paper believe that it is a well-known fact.
Here, we give its proof for completeness.
Proposition 2.1**.**
The Choquet boundary for A is ∂A.
Proof.
We need to show that ∂A⊂Ch(A), since Ch(A) is dense in ∂A.
Choose η0∈∂A arbitrarily.
Notice that the inner functions of H∞(D) separate the points of M
(cf. [11, Corollary 5.2 in Chapter X]).
Let η1∈M with η1=η0. There exists an inner function
fη1∈H∞(D) such that
fη1(η1)=fη1(η0).
It follows from [11, Theorem 2.2 in Chapter V] that
∣fη1∣=1 on ∂A.
Then ∣fη1(η0)∣=1=∥fη1∥M,
since ∂A is a boundary for A.
We set
λ0=fη1(η0)∈T, and thus
fη1(η1)=λ0.
Define uη1(z)=(λ0fη1(z)+1)/2 for z∈D.
Then uη1∈H∞(D) with
uη1(η0)=1=∥uη1∥M and
[TABLE]
Therefore, uη1 is a peaking function for A.
The set Puη1={η∈M:uη1(η)=1}
satisfies
η0∈Puη1 but η1∈Puη1.
Hence, ∩η1∈M∖{η0}Puη1={η0}.
We observe that η0∈Ch(A)
(see, for example, [12, Propositions 3.18 and 3.19]), and thus
∂A⊂Ch(A), as is claimed.
∎
The Choquet boundary Ch(A) for A has the following property, which we shall
use later:
For each ε>0, η0∈Ch(A) and open neighborhood V of η0 in M,
there exists v∈A such that v(η0)=1=∥v∥M and
∣v∣<ε on M∖V.
We refer the reader to [3] for information about uniform algebras.
We may and do regard D as a subset of M. Then D is dense in M
by the Corona theorem [11, Theorem 1.8 in Chapter V, and Chapter VIII].
We define the fiber Mξ={η∈M:id(η)=ξ} for each
ξ∈T. Then we have M=D∪⋃ξ∈TMξ
(see [11, Section 1 of Chapter V]). If f∈A(D), then f(ξ)=f(η)
for all ξ∈T and η∈Mξ by [14, Theorem, p.161]
(see, also [11, Exercises and further results in Chapter V]).
Recall that the Shilov boundary ∂A for A is the smallest closed subset
of M so that ∥v∥∂A=∥v∥M for all v∈A.
By the maximum modulus principle, we obtain
∥v∥M=∥v∥M∖D for v∈H∞(D).
Hence, ∂A⊂M∖D.
If, in addition, v∈A(D), then
∥v∥D=∥v∥M=∥v∥M∖D=∥v∥T,
since v(ξ)=v(η) for ξ∈T and η∈Mξ.
We refer the reader to the following books
for information about the maximal ideal space M of H∞(D), [11] and [14].
To embed S∞ into C(Ke) for some compact Hausdorff space Ke,
we introduce a compact Hausdorff space De, which depends on
the norms ∥⋅∥(Σ), ∥⋅∥(C) and ∥⋅∥(σ).
Let a∈D, and we define DΣ, DC
and Dσ by
[TABLE]
For De∈{DΣ,DC,Dσ}, we set
[TABLE]
Then De and Ke are compact Hausdorff spaces with the
product topology. For each f∈S∞, we define f by
[TABLE]
For simplicity of notation, we shall write
(z,η,w) instead of ((z,η),w) for each element of Ke.
Here, we note that f∈A(D)
and f′∈A for f∈S∞.
We define the normed linear subspace Be of C(Ke) by
[TABLE]
with the supremum norm ∥f∥Ke=supx∈Ke∣f(x)∣ for f∈Be.
Note that ∥v∥D=∥v∥M=∥v∥∂A for v∈H∞(D).
Thus, we observe that
[TABLE]
for every f∈S∞: In fact, since f∈S∞⊂A(D), we have
∥f∥D=∥f∥T and ∥f′∥D=∥f′∥∂A.
Hence, ∥f∥(Σ)=∥f∥D+∥f′∥D=∥f∥T+∥f′∥∂A.
Let (ξ0,η0)∈T×∂A be such that
∣f(ξ0)∣=∥f∥T and ∣f′(η0)∣=∥f′∥∂A.
Such a pair of points do exist, since f and f′ are continuous
on the compact sets T and ∂A, respectively.
Choose w0∈T so that
∣f(ξ0)+f′(η0)w0∣=∣f(ξ0)∣+∣f′(η0)∣.
We obtain
[TABLE]
which prove the first equalities in (2.4).
We can prove the second equalities in (2.4) by a similar argument
to the above, and we omit it.
We shall prove that ∥f∥KC=∥f∥(C) for every f∈S∞.
Proposition 2.2**.**
For each f∈S∞,
[TABLE]
Proof.
Let f∈S∞ and z∈D.
There exists wz∈T such that
∣f(z)∣+∣f′(z)∣=∣f(z)+f′(z)wz)∣.
Since f,f′wz∈H∞(D), we have
f+f′wz=f+f′wz and
[TABLE]
Since z∈D is arbitrarily chosen, we obtain
∥f∥(C)≤∥f∥KC.
By the continuity of f, there exists η0∈∂A and w0∈T
such that ∣f(η0)+f′(η0)w0∣=∥f∥KC.
Since D is dense in M by the Corona theorem, for each ε>0
there exists z0∈D such that
∣f(η0,η0,w0)−f(z0,z0,w0)∣<ε.
Then we obtain
[TABLE]
and therefore, ∥f∥KC≤∥f∥(C)+ε.
Since ε>0 is arbitrarily chosen, we get ∥f∥KC≤∥f∥(C),
and consequently, ∥f∥KC=∥f∥(C).
∎
Let Ke∈{KΣ,KC,Kσ}.
For each x∈Ke, we define the point
evaluation functional δx:Be→C
at x by
[TABLE]
Define the complex linear operator I0:H∞(D)→H∞(D) by
[TABLE]
where [0,z] is the straight line interval from [math] to z.
We shall show that Be separates the points of Ke
in the following two propositions, in which the operator
I0 plays an important role.
Proposition 2.3**.**
Let Ke∈{KΣ,Kσ}.
For each pair of distinct points x1,x2∈Ke
there exists f∈Be such that f(x1)=f(x2).
Proof.
Let xj=(zj,ηj,wj)∈Ke for j=1,2 with x1=x2.
Suppose first that z1=z2. We set ξj=id(ηj)
for j=1,2.
Then ξj∈T, since ηj∈∂A.
We have three possible cases to consider.
Case 1.ξ1,ξ2∈{z1,z2}.
Let f(z)=(z−z2)(z−ξ1)2(z−ξ2)2∈S∞. Then we obtain
f(z1)=0=f(z2) and f′(ξ1)=0=f′(ξ2).
Equality (2.2) shows that f(x1)=f(z1)=0=f(x2).
Case 2.ξj∈{z1,z2} and ξk∈{z1,z2}
for j,k∈{1,2} with j=k.
Without loss of generality, we may and do assume that
ξ1∈{z1,z2} and ξ2∈{z1,z2}.
For functions g1(z)=(2z−3z1+z2)(z−z2)2∈S∞
and g2(z)=(2z−3z1+ξ2)(z−ξ2)2∈S∞, we see that
[TABLE]
We set g=g1g2∈S∞, and then g(z1)=0=g(z2).
The multiplication law, g′=g1′g2+g1g2′, shows that
g′(z1)=0=g′(z2)=g′(ξ2).
Because ξ1∈{z1,z2}, we get g′(ξ1)=0.
Since g′∈A(D), we have g′(ξ)=g′(η)
for all ξ∈T and η∈Mξ.
Therefore, g′(ηj)=g′(ξj)=0 for j=1,2.
It follows from (2.2) that g(x1)=g(z1)=0=g(x2).
Case 3.ξ1,ξ2∈{z1,z2}.
Let h(z)=(2z−3z1+z2)(z−z2)2∈S∞, and then we see that
h(z1)=0=h(z2) and h′(z1)=0=h′(z2).
By the choice of ξj, we have h′(ξj)=0 for j=1,2.
Equality (2.2) shows that h(x1)=h(z1)=0=h(x2).
Now we assume that z1=z2 and w1=w2.
We have that
id(x1)=z1+w1=z2+w2=id(x2) by (2.2).
If z1=z2 and w1=w2, then η1=η2.
Since the image A of the Gelfand transform of H∞(D) separates the points of M,
there exists v∈H∞(D) such that v(η1)=v(η2).
Because z1=z2 and w1=w2, we see that I0(v)(x1)=I0(v)(x2)
by (2.2) and (2.6).
Consequently, f(x1)=f(x2) for some f∈Be, as is claimed.
∎
Proposition 2.4**.**
For each pair of distinct points x1,x2∈KC
there exists f∈BC such that f(x1)=f(x2).
Proof.
Let xj=(ηj,ηj,wj)∈KC for j=1,2 with x1=x2.
Suppose that η1=η2 and id(η1)=id(η2).
Since A separates the points of M, we can choose v0∈H∞(D) so that
v0(η1)=1 and v0(η2)=0.
We set f0=I0(v0), and then f0∈A(D).
Since id(η1)=id(η2) and f0∈A(D),
we have f0(η1)=f0(η2) with
f0′(η1)=1 and f0′(η2)=0.
Thus, f0(x1)=f0(η1)+w1=f0(η2)=f0(x2)
by (2.2).
We now assume that η1=η2 and id(η1)=id(η2).
We set ξj=id(ηj) for j=1,2, and
f1(z)=(2z−3ξ1+ξ2)(z−ξ2)2∈A(D).
Then we get f1(ξ1)=0=f1(ξ2) and
f1′(ξ1)=f1′(ξ2)=0. Therefore,
f1(x1)=0=f1(x2) by (2.2).
Suppose now that η1=η2, and then w1=w2 by the choice of xj’s.
If we take f2=id∈S∞, then we see that f2(x1)=f2(x2).
∎
We shall investigate Choquet boundary for Be, which is deeply connected
with the set of all extreme points of the closed unit ball of the dual space
of Be.
To this end, we need some topological properties of the maximal ideal space
M of H∞(D).
Essential ideas of proof of Lemmas 2.5 and 2.6 below are due to
Professor Osamu Hatori. The authors are grateful for his suggestions and comments
on them.
Lemma 2.5**.**
Let W0={z∈D:∣z∣<1−ε0} and W1={z∈D:∣z∣>1−ε0}
for each ε0 with 0<ε0<1.
Then M∖W0 is the weak-closure of W1 in M.*
Proof.
Let cl(W1) be the weak*-closure of W1 in M.
Since M∖W0 is a closed subset of M containing W1,
we see that cl(W1)⊂M∖W0.
Now we shall prove that M∖D⊂cl(W1).
Let η0∈M∖D.
By the Corona theorem,
the open unit disc D is dense in M,
and then there exists a net {zν} in D such that
{zν} converges to η0 with respect to the weak*-topology.
We assert η0∈cl(W1); in fact, if η0 were not in cl(W1),
then we would have that η0 is in the open set M∖cl(W1).
Since {zν} converges to η0, we may and do assume that
zν∈M∖cl(W1) for all ν.
Then we get zν∈D∖W1 for all ν.
Let Mξ be the fiber over ξ∈T.
Because η0∈M∖D=∪ξ∈TMξ,
there exists a unique ξ0∈T such that η0∈Mξ0.
As zν∈D∖W1, we obtain ∣zν∣≤1−ε0,
and then ∣zν−ξ0∣≥ε0 for all ν.
Since {zν} converges to η0 with weak*-topology,
zν=id(zν) tends to id(η0)=ξ0, which contradicts
∣zν−ξ0∣≥ε0 for all ν.
This implies η0∈cl(W1), and
consequently M∖D⊂cl(W1).
Notice that {z∈D:∣z∣≥1−ε0}⊂cl(W1).
As M∖D⊂cl(W1), we get
M∖W0={z∈D:∣z∣≥1−ε0}∪(M∖D)⊂cl(W1).
Thus cl(W1)=M∖W0 as is claimed.
∎
Lemma 2.6**.**
Let W1={z∈D:∣z∣>1−ε0} for each ε0 with 0<ε0<1.
Then ∂A is contained in the interior of cl(W1).
Proof.
Let W0={z∈D:∣z∣<1−ε0}.
Then cl(W1)=M∖W0 by Lemma 2.5. Because
∂A⊂M∖D,
we deduce ∂A⊂cl(W1). Let η0∈∂A.
We shall prove that η0 is an interior point of cl(W1).
If any open neighborhood O of η0 were not contained in cl(W1),
there would exist a net {ην} in M∖cl(W1) such that
{ην} converges to η0 with respect to the weak*-topology.
Since cl(W1)=M∖W0,
we get ην∈W0, and hence ∣ην∣<1−ε0 for all ν.
By the choice of {ην} and η0, we obtain
ην=id(ην)→id(η0).
Here, ∣id(η0)∣=1, since η0∈∂A⊂M∖D.
Therefore, ∣ην∣→1, which contradicts ∣ην∣<1−ε0 for all ν.
Thus, η0 is an interior point of cl(W1).
∎
In the next lemma, we shall prove the existence of “peaking functions”
in S∞, which will be significant to determine the set of all extreme points
the closed unit ball of the dual space of Be.
We need topological properties of M as in Lemmas 2.5 and
2.6 to prove the next lemma.
Lemma 2.7**.**
Let ε>0, η0∈∂A, and let V be an open neighborhood of η0 in M.
There exists f∈S∞ such that
[TABLE]
Proof.
Let ε>0, η0∈∂A and V an open neighborhood of η0 in M.
Let 2ε0=min{ε,1}, and we set W0={z∈D:∣z∣<1−ε0} and
W1={z∈D:∣z∣>1−ε0}.
By Lemma 2.6, η0 is an interior point of cl(W1).
Thus, there exists an open neighborhood O1 of η0 in M
such that O1⊂cl(W1).
We set V1=V∩O1, and then V1 is an open neighborhood of η0
with V1⊂cl(W1).
Since cl(W1)=M∖W0 by Lemma 2.5, we see that
V1∩D⊂{z∈D:∣z∣≥1−ε0}.
Notice that
η0∈∂A=Ch(A), the Choquet boundary for A,
by Proposition 2.1.
There exists v∈H∞(D) such that v(η0)=1=∥v∥M
and ∣v∣<ε0 on M∖V1.
Define f∈S∞ by f=I0(v), and then f′=v on D
and f′(η0)=1=∥f′∥M.
Since V1⊂V, we obtain ∣f′∣<ε on M∖V.
We show that ∥f∥D≤ε.
Let z0 be an arbitrary point of D.
If z0∈W0={z∈D:∣z∣<1−ε0}, then the line interval
[0,z0] from [math] to z0 lies in W0.
Since V1∩D⊂{z∈D:∣z∣≥1−ε0},
it follows that ∣v∣<ε0 on [0,z0]. Thus,
[TABLE]
Hence, ∣f(z0)∣<ε0 for each z0∈W0.
If z0∈D∖W0, then we set zr=(1−rε0)z0/∣z0∣
for each r with 1<r<2.
Note that ε0<rε0<2ε0≤1.
Because ∣zr∣=1−rε0<1−ε0, we obtain zr∈W0.
Then ∣f(zr)∣≤ε0 by the fact proved in the last paragraph.
By the choice of zr and z0, we get ∣zr−z0∣<rε0.
It follows that
[TABLE]
Letting r↘1, we obtain ∣f(z0)∣≤2ε0≤ε
for z0∈D∖W0.
We thus conclude that ∣f∣≤ε on D,
and consequently ∥f∥D≤ε.
∎
Recall that Be is a normed linear subspace of C(Ke), defined by (2.3).
Let Λ:Be→C be a bounded linear functional with the
operator norm ∥Λ∥.
By the Hahn-Banach theorem, Λ is extended to a bounded
linear functional Λ1 on C(Ke) with ∥Λ∥=∥Λ1∥.
Thus, the Riesz representation theorem ensures that there exists a regular
Borel measure μ on Ke such that Λ(f)=∫Kefdμ
for every f∈Be and ∥Λ∥=∥μ∥, where ∥μ∥ denotes
the total variation of the measure μ.
We investigate representing measures for the point evaluation functional δx
with x∈Ke to determine the set of extreme points of the closed unit ball
of Be.
We first show that any representing measure μ for δx with
x∈KC or x∈Kσ is a Dirac measure.
To this end, we shall prove that any such measure μ is concentrated
on some sets.
Here, we recall that DΣ=T×∂A, DC={(η,η):η∈∂A} and
Dσ={a}×∂A, a∈D by (2.1).
We denote by π the natural projection from De onto ∂A, that is,
π(z,η)=η for (z,η)∈De.
Lemma 2.8**.**
Let Ke∈{KΣ,KC,Kσ}, x0=(z0,η0,w0)∈Ke
and let V be an open neighborhood of η0 in M.
Then μ(π−1(V)×T)=1
for each representing measure μ for δx0.
Proof.
Let x0=(z0,η0,w0) be an arbitrary point of Ke.
Let μ be a representing measure for δx0.
Since δx0(1)=1=∥δx0∥, we see that μ is a probability measure
(see, for example, [3, p. 81]).
Let ε>0 be an arbitrary positive real number and V an open neighborhood
of η0∈∂A in M.
We set Vc=∂A∖V,
Recall that f0(z,η,w)=f0(z)+f0′(η)w by (2.2).
By the choice of f0, we have
[TABLE]
Since μ is a representing measure for δx0, we get
[TABLE]
We derive from the above equalities with (2.7) that
[TABLE]
Since ε>0 is arbitrary, we get 1≤μ(PV)≤μ(Ke)=1.
Hence 1=μ(PV)=μ(π−1(V)×T).
∎
Lemma 2.9**.**
Let Ke∈{KΣ,KC,Kσ} and x0=(z0,η0,w0)∈Ke.
Then μ(π−1({η0})×T)=1
for each representing measure μ for δx0.
Proof.
Let P be an open set in Ke=De×T
with π−1({η0})×T⊂P.
For each (z,η0,w)∈π−1({η0})×T, there exist open sets
Z,V,W such that
(z,η0,w)∈Z×V×W⊂P by the definition
of the product topology. Note that π−1({η0})×T is a
compact set, and then there exist finitely many open sets
Zk,Vk,Wk such that π−1({η0})×T⊂∪k=1n(Zk×Vk×Wk) for some n∈N. We now set V0=∩k=1nVk.
Then V0 is an open neighborhood of η0. We show that
π−1(V0)×T⊂P. In fact, if (z1,η1,w1)∈π−1(V0)×T,
then (z1,η0,w1)∈π−1({η0})×T.
By the choice of Zk,Vk,Wk, we obtain
(z1,η0,w1)∈Zm×Vm×Wm
for some m with 1≤m≤n.
We assure from η1∈V0⊂Vm that
(z1,η1,w1)⊂Zm×Vm×Wm⊂P,
which implies π−1(V0)×T⊂P, as is claimed.
We thus have that 1=μ(π−1(V0)×T)≤μ(P)
by Lemma 2.8.
Since μ is a probability measure, we get μ(P)=1.
Since P is an arbitrary open set
with π−1({η0})×T⊂P,
the regular measure μ satisfies μ(π−1({η0})×T)=1.
∎
Remark 2.1**.**
If De=DC={(η,η):η∈∂A},
then π−1({η0})={(η0,η0)}.
If De=Dσ={a}×∂A, then
π−1({η0})={(a,η0)}.
Lemma 2.9 states that if x0=(z0,η0,w0)∈Ke
and if Ke∈{KC,Kσ},
then μ({z0}×{η0}×T)=1 for every
representing measure μ for δx0.
The next lemma says that a similar result is true even if Ke=KΣ.
Lemma 2.10**.**
If x0=(z0,η0,w0)∈KΣ=T×∂A×T with
η0∈Mz0
then μ({z0}×{η0}×T)=1
for each representing measure μ for δx0.
Proof.
Let ε>0 and Z an open neighborhood of z0 in T.
We set Zc=T∖Z, QZ=Z×{η0}×T and
QZc=Zc×{η0}×T. Then we see that
[TABLE]
Notice that π−1({η0})=T×{η0},
and hence μ(QZ∪QZc)=1 by Lemma 2.9.
For each m∈N, we define a function gm∈S∞ by
gm(z)={(z0z+1)/2}m for z∈D.
We observe that
[TABLE]
Set ξ0=id(η0)∈T.
By the assumption, η0∈Mz0.
Thus ξ0=z0,
and we get ∣(z0ξ0+1)/2∣<1. Therefore,
m{(z0ξ0+1)/2}m−1 converges to [math] as m→∞.
In addition, since ∣gm(z)∣<1 for all z∈T∖{z0},
we can find m0∈N such that
∣gm0∣<ε on Zc and
[TABLE]
We set f1=gm0∈S∞, and hence
[TABLE]
Equality (2.2) with the above shows that
∣δx0(f1)∣=∣f1(z0)+f1′(η0)w0∣≥1−ε.
We deduce from μ(QZ∪QZc)=1 that
[TABLE]
Because ε>0 is arbitrarily chosen, we get 1≤μ(QZ).
Since μ is a probability measure,
1=μ(QZ)=μ(Z×{η0}×T) for all
open neighborhood Z of z0.
By a similar argument to proof of Lemma 2.9, we observe that
μ({z0}×{η0}×T)=1.
∎
Now we are ready to characterize representing measure
for x0∈Ke.
Applying Lemmas 2.9 and 2.10, we shall prove that
the representing measure for δx0 is concentrated on
the point x0∈Ke.
Lemma 2.11**.**
Let x0=(z0,η0,w0)∈Ke
with Ke∈{KΣ,KC,Kσ}.
Assume further that
η0∈Mz0 if x0∈KΣ.
Then the Dirac measure concentrated at x0 is the unique
representing measure for δx0.
Proof.
Let x0=(z0,η0,w0)∈Ke. We assume that
η0∈Mz0 if x0∈KΣ.
Let μ be a representing measure for δx0.
We shall prove that μ({x0})=1.
Set R={z0}×{η0}×T,
and thus μ(R)=1 by Lemma 2.9 (see, also Remark 2.1)
and Lemma 2.10.
Let f0=id−id(z0)1∈S∞.
Then f0(z0)=0 and f0′(η0)=1.
By (2.2),
δx0(f0)=f0(z0)+f0′(η0)w0=w0.
Since μ is a representing measure for δx0,
the fact μ(R)=1 shows that
[TABLE]
Hence, ∫R(w−w0)dμ=0. Multiplying
this equality by −w0, we have
∫R(1−w0w)dμ=0.
Since μ is a positive measure,
[TABLE]
where Reζ is the real part of a complex number ζ.
Here, we note that 1−Re(w0w)>0 on
R0={z0}×{η0}×(T∖{w0})⊂R.
We thus obtain
μ(R0)=0, and hence
μ({z0}×{η0}×{w0})=μ(R)=1.
This implies that μ({x0})=1.
We conclude that μ is a Dirac measure concentrated at x0=(z0,η0,w0),
as is claimed.
∎
Let Ch(Be) be the Choquet boundary for Be, that is, the set of all
x∈Ke such that
δx is an extreme point of (Be)1∗, the closed unit ball of the dual space
(Be)∗ of (Be,∥⋅∥Ke).
We denote by ext((Be)1∗) the set of all extreme points of (Be)1∗.
By the Arens-Kelley theorem, we see that
ext((Be)1∗)={λδx:λ∈T,x∈Ch(Be)}
(cf. [8, Corollary 2.3.6 and Theorem 2.3.8]).
The next lemma gives the characterization of Ch(Be).
In other words, we can determine ext((Be)1∗), which is essential
to our arguments below.
Lemma 2.12**.**
Let x0=(z0,η0,w0)∈Ke
with Ke∈{KΣ,KC,Kσ}. Assume that
η0∈Mz0 if x0∈KΣ.
Then x0∈Ch(Be).
Proof.
Let x0=(z0,η0,w0)∈Ke, and η0∈Mz0
if x0∈KΣ.
We prove that δx0 is an extreme point of (Be)1∗.
Let χ1,χ2∈(Be)1∗ be such that δx0=(χ1+χ2)/2.
Then χ1(1)+χ2(1)=2δx0(1)=2 by (2.2).
Since χj∈(Be)1∗, we get ∣χj(1)∣≤1 and thus
χj(1)=1=∥χj∥ for j=1,2.
Let τj be a representing measure for χj,
that is, χj(f)=∫Kefdτj for f∈Be
with ∥χj∥=∥τj∥, the total variation of τj, for j=1,2.
We see that τj is a probability measure on Ke (cf. [3, p. 81]).
Then (τ1+τ2)/2 is a representing measure for δx0.
It follows from Lemma 2.11 that (τ1+τ2)/2 is
the Dirac measure γx0 concentrated at x0.
Because τj is a positive measure, τj(E)=0 for each
Borel set E with x0∈E. Hence τj=γx0 for j=1,2,
and consequently χ1=χ2. Therefore,
δx0 is an extreme point of (Be)1∗, and thus x0∈Ch(Be).
∎
Remark 2.2**.**
By Lemma 2.12, we see that
KC=Ch(BC) and Kσ=Ch(Bσ).
The authors are not sure whether or not KΣ=Ch(BΣ) holds.
But, the following result on KΣ is enough for our proof.
Lemma 2.13**.**
Define KΣ∘={(z,η,w)∈KΣ:η∈Mz}.
Then the set KΣ∘ is dense in KΣ=DΣ×T.
Proof.
Let x0=(z0,η0,w0)∈KΣ and O an
open neighborhood of x0 in KΣ.
We show that O∩KΣ∘=∅.
To this end, we need to consider the case when x0∈KΣ∘,
and hence η0∈Mz0.
By the definition of the product topology, we can choose open sets
Z,W⊂T and V⊂∂A such that
(z0,η0,w0)∈Z×V×W⊂O.
Choose z1∈Z with z0=z1, and then we obtain
(z1,η0,w0)∈O and
id(η0)=z0=z1. Hence η0∈Mz1,
and therefore, (z1,η0,w0)∈O∩KΣ∘.
This shows that KΣ∘ is dense in KΣ.
∎
We now define an isometry, S, on Be and investigate it.
To do this, we introduce a kind of adjoint operator, S∗,
on the dual space (Be)∗ of Be.
In the rest of this section, we shall prove that the map S∗
preserves extreme points of (Be)1∗ in some sense.
Let (Ke,∥⋅∥(e)) be one of (KΣ,∥⋅∥(Σ)) or
(KC,∥⋅∥(C)) or (Kσ,∥⋅∥(σ)).
For a surjective, not necessarily linear, isometry T from (S∞,∥⋅∥(e))
onto itself, define the mapping T0 on (S∞,∥⋅∥(e)) by
[TABLE]
By the Mazur-Ulam theorem [17, 24], T0 is a
surjective, real linear isometry from (S∞,∥⋅∥(e)) onto itself.
We define the map U:(S∞,∥⋅∥(e))→(Be,∥⋅∥Ke) by
[TABLE]
where f is defined as in (2.2). By (2.4) and (2.5),
U is a surjective complex linear isometry.
Denote UT0U−1 by S; the mapping S:Be→Be is
a well-defined surjective real linear isometry,
since U:(S∞,∥⋅∥(e))→(Be,∥⋅∥Ke) is a surjective
complex linear isometry.
[TABLE]
By the definition of the mapping S, we derive
[TABLE]
We define the mapping S∗:(Be)∗→(Be)∗ by
[TABLE]
for χ∈(Be)∗ and f∈Be.
Here we note that S∗ coincides with the usual adjoint operator,
provided that S is complex linear.
The mapping S∗ is a surjective real linear
isometry with respect to the operator norm on (Be)∗
(see, for example, [23, Proposition 5.17]).
This shows that S∗ preserves extreme points, that is,
S∗(ext((Be)1∗))=ext((Be)1∗).
We define the topological subspace Ee of (Be)1∗ with the weak*-topology by
[TABLE]
Now we consider the case when Ke∈{KC,Kσ}.
Then Ke=Ch(Be) by Remark 2.2.
Applying the Arens-Kelley theorem to the above, we obtain
[TABLE]
Since S∗ preserves extreme points, we get S∗(Ee)=Ee.
In the rest of this section, we shall prove that the equality is true
even if Ke=KΣ.
For Ke∈{KΣ,KC,Kσ}, we define the mapping h:T×Ke→Ee by
[TABLE]
We shall prove that h is a homeomorphism.
The property on h is quite important to show that S∗ preserves the set Ee.
The ideas of the following two lemmas are due to Professor Kazuhiro Kawamura.
The authors are grateful for his suggestions and comments.
Lemma 2.14**.**
Let T×Ke be the compact Hausdorff space
with the product topology.
Then the mapping h:T×Ke→Ee
is a homeomorphism.
In particular, h(T×Ch(Be))=ext((Be)1∗).
Proof.
The map h is surjective by definition.
Because Be contains the constant function 1
and separates the points of Ke
(see Propositions 2.3 and 2.4),
we see that h is injective.
By the definition of the weak*-topology, we observe that h is a continuous
map from the compact space T×Ke onto the Hausdorff space Ee.
Hence, h:T×Ke→Ee is a homeomorphism.
By the Arens-Kelley theorem, ext((Be)1∗)={λδx:λ∈T,x∈Ch(Be)},
and thus ext((Be)1∗)=h(T×Ch(Be)).
∎
The next lemma is a generalization of the well-known fact that the adjoint
operator of a surjective complex linear isometry on (S∞,∥⋅∥(e))
preserves the set ext((Be)1∗) of all extreme points of (Be)1∗.
In fact, if Ke=KC or Ke=Kσ, then Ee=ext((Be)1∗), and thus
S∗(Ee)=Ee, as mentioned above.
We shall prove that S∗(Ee)=Ee holds even if Ke=KΣ
Lemma 2.15**.**
The mapping S∗ preserves Ee, that is,
S∗(Ee)=Ee.
Proof.
We need to consider the case when Ke=KΣ, and then Ee=EΣ.
Let h be the homeomorphism as in (2.11).
Lemma 2.14 shows that
[TABLE]
By Lemma 2.12, KΣ∘⊂Ch(BΣ)⊂KΣ,
and hence we observe that
[TABLE]
By the definition of the map h, we get h(T×KΣ)=EΣ,
and hence S∗(h(T×KΣ∘))⊂EΣ.
We denote by clM(L) the closure of a subset L in a topological space M.
By Lemma 2.13, KΣ∘ is dense in
KΣ, and thus clKΣ(KΣ∘)=KΣ.
Since the map h is a homeomorphism, we obtain
[TABLE]
and thus S∗(EΣ)=S∗(clEΣ(h(T×KΣ∘))).
Because S∗:(BΣ)∗→(BΣ)∗ is a surjective isometry
with the operator norm, it is bijective.
By the definition of S∗, it is continuous with respect to the weak*-topology
on (BΣ)∗. In the same way, we can show that S∗−1 is continuous on
(BΣ)∗ as well. Hence S∗:(BΣ)∗→(BΣ)∗ is
a homeomorphism with respect to the weak*-topology.
Since S∗(h(T×KΣ∘))⊂EΣ, we obtain
[TABLE]
which implies S∗(EΣ)⊂EΣ.
By the same arguments, applied to S∗−1 instead of S∗, we have
S∗−1(EΣ)⊂EΣ.
This shows that S∗(EΣ)=EΣ.
∎
3. Characterization of the induced map S
In this section, we use the same notation as in the previous section.
We assume that S:Be→Be is a surjective real linear isometry, which
satisfies (2.9), and S∗:(Be)∗→(Be)∗ is a surjective real linear isometry
defined by (2.10).
The mapping h:T×Ke→Ee is a
homeomorphism as in (2.11).
We shall analyze the isometry S∗ on (Be)∗, which leads to the characterization
of the map S=UT0U−1:
The idea of the arguments is a generalization of a well-known proof of the
Banach-Stone theorem.
In fact, if S is complex linear, then the fact that the adjoint operator S∗
preserves extreme points implies that S is a weighted composition operator.
Our argument below is a kind of real linear version of the above.
Definition 3.1**.**
Let p1:T×Ke→T and p2:T×Ke→Ke
be the natural projections
from T×Ke onto the first and second coordinates, respectively.
We define maps α:T×Ke→T
and Φ:T×Ke→Ke by
α=p1∘h−1∘S∗∘h and
Φ=p2∘h−1∘S∗∘h.
[TABLE]
Recall that S∗ is a real linear isometry with S∗(Ee)=Ee
by Lemma 2.15, and thus
it is bijective. By the definition of S∗, it is continuous with respect to
the weak*-topology. Therefore, S∗∣Ee:Ee→Ee is a homeomorphism
with respect to the relative weak*-topology.
Hence α and Φ are both well-defined, surjective continuous maps.
We get (h−1∘S∗∘h)(λ,x)=(α(λ,x),Φ(λ,x)) for (λ,x)∈T×Ke
by the definition of α and Φ.
Hence (S∗∘h)(λ,x)=h(α(λ,x),Φ(λ,x)), which implies
S∗(λδx)=α(λ,x)δΦ(λ,x)
for every (λ,x)∈T×Ke. Set, for each λ∈T,
αλ(x)=α(λ,x) and Φλ(x)=Φ(λ,x) for x∈Ke.
Then αλ and Φλ satisfy
[TABLE]
for every λ∈T and x∈Ke.
We first investigate the map α.
In fact, since S∗ is a real linear isometry, we can prove that
α(⋅,x) is a real linear isometry on T for each x∈Ke
as well.
Lemma 3.1**.**
For each x∈Ke, αi(x)=iα1(x) or αi(x)=−iα1(x).
Proof.
Let x∈Ke, and we set λ0=(1+i)/2∈T.
By the real linearity of S∗, we obtain
[TABLE]
Evaluating these equalities at 1∈Be, we get
2αλ0(x)=α1(x)+αi(x).
Since ∣αλ(x)∣=1 for all λ∈T,
we have 2=∣α1(x)+αi(x)∣=∣1+αi(x)α1(x)∣.
Then we see that αi(x)α1(x)=i or αi(x)α1(x)=−i.
We thus conclude αi(x)=iα1(x) or αi(x)=−iα1(x).
∎
Now we can describe a connection between α1 and αi.
Lemma 3.2**.**
There exists a continuous function s0:Ke→{±1} such that
S∗(iδx)=is0(x)α1(x)δΦ(i,x) for every x∈Ke.
Proof.
For each x∈Ke, we obtain αi(x)=iα1(x) or αi(x)=−iα1(x) by Lemma 3.1.
We define E+ and E− by
[TABLE]
Then we have Ke=E+∪E− and E+∩E−=∅.
By the continuity of the functions α1=α(1,⋅) and αi=α(i,⋅) on Ke,
we see that E+ and E− are both closed subsets of Ke.
Hence, the function s0:Ke→{±1}, defined by
[TABLE]
is continuous on Ke.
Then we obtain αi(x)=is0(x)α1(x) for every x∈Ke.
This shows S∗(iδx)=is0(x)α1(x)δΦ(i,x) for all x∈Ke.
∎
We are ready to prove that α(⋅,x) is a real linear isometry on
T for each x∈Ke; more explicitly, we have the following identity,
which says that Φλ depends on Φ1 and Φi.
Lemma 3.3**.**
Let s0 be the continuous function as in Lemma 3.2.
For each λ=r+it∈T with r,t∈R and x∈Ke,
[TABLE]
for all f∈Be.
Proof.
Let λ=r+it∈T with r,t∈R and x∈Ke.
Recall that S∗(δx)=α1(x)δΦ(1,x), and
S∗(iδx)=is0(x)α1(x)δΦ(i,x) by Lemma 3.2.
Because S∗ is real linear,
[TABLE]
The evaluation of these equalities at 1∈Be shows that
αλ(x)=α1(x)(r+its0(x)).
Since r+its0(x)=λs0(x), then αλ(x)=λs0(x)α1(x).
In particular, α(⋅,x) is a real linear isometry on T.
We thus obtain λs0(x)δΦ(λ,x)=rδΦ(1,x)+its0(x)δΦ(i,x),
which implies that
λs0(x)f(Φλ(x))=rf(Φ1(x))+its0(x)f(Φi(x))
for all f∈Be.
∎
We next analyze the map Φ, which satisfies
S∗(λδx)=αλ(x)δΦλ(x) for every
λ∈T and x∈Ke.
Roughly speaking, we prove that Φλ(x) is independent
from λ∈T.
Definition 3.2**.**
Recall that Ke=De×T, where
[TABLE]
We denote by qj the projection from Ke
onto the j-th coordinate of Ke for j=1,2,3:
If Ke=KC, then we define qj(η,η,w)=η
for j=1,2 and (η,η,w)∈KC.
Let Φ:T×Ke→Ke be the map as in Definition 3.1.
Define
ϕ:T×Ke→q1(Ke), ψ:T×Ke→∂A
and φ:T×Ke→T by
[TABLE]
respectively.
For each λ∈T, we also define ϕλ, ψλ and φλ
by ϕλ(x)=ϕ(λ,x),
ψλ(x)=ψ(λ,x) and φλ(x)=φ(λ,x) for all x∈Ke.
By the definition of ϕ, ψ and φ, we get
Φλ(x)=(ϕλ(x),ψλ(x),φλ(x))
for every λ∈T and x∈Ke; if
Ke=KΣ then ϕλ(x)∈T, if
Ke=KC then ϕλ(x)=ψλ(x)∈∂A,
and if Ke=Kσ then ϕλ(x)=a.
By (2.2),
[TABLE]
for all f∈S∞ and (λ,x)∈T×Ke.
Note that ϕ, ψ and φ are surjective and continuous,
since so is Φ (see Definition 3.1).
Remark 3.1**.**
We notice that Φμ(x)=Φ−μ(x)
for μ∈{1,i} and x∈Ke:
In fact, equality (3.1) shows that
[TABLE]
for all f∈Be and x∈Ke.
Since Be separates the points of Ke by Propositions 2.3
and 2.4, we obtain Φ1(x)=Φ−1(x) and
Φi(x)=Φ−i(x) for all x∈Ke.
Consequently, ϕ1=ϕ−1, ψ1=ψ−1 and φ1=φ−1.
We shall prove that ϕλ(x), ψλ(x) and φλ(x) are independent
from λ∈T, which is a consequence of (3.1) and (3.2).
We need the following elementary properties of S∞ to demonstrate it.
In fact, we shall prove that S∞ separates the points of D and ∂A
in the next two lemmas.
Proposition 3.4**.**
Let z0,z1,z2∈D with z0∈{z1,z2}, and let
η1,η2,η3∈∂A.
There exists f0∈S∞ such that
[TABLE]
Proof.
We set z3=id(η1), z4=id(η2) and
z5=id(η3).
Then zj∈T for j=3,4,5.
Case 1.
Suppose that z0∈{z3,z4,z5}.
We set
[TABLE]
and then
g(z0)=0, g(z1)=0=g(z2) and g′(zj)=0 for j=3,4,5.
If we set f1=g/g(z0)∈S∞, then we obtain
[TABLE]
Case 2.
If z0∈{z3,z4,z5}, then we define J={j∈{3,4,5}:zj=z0}
and J0={1,2}∪J. Let j∈J0, and set
[TABLE]
Here, we notice that z0=zj.
We see that gj(z0)=0 and gj′(z0)=0=gj(zj)=gj′(zj).
The function fj=gj/gj(z0)∈S∞ satisfies fj(z0)=1
and fj′(z0)=0=fj(zj)=fj′(zj).
We set f=Πk∈J0fk∈S∞, and then
f(z0)=1 and f(zj)=0. In particular, f(z1)=0=f(z2).
We note that
f′=fj′Πk∈J0∖{j}fk+fj(Πk∈J0∖{j}fk)′
by the multiplication law.
Since fj(zj)=0=fj′(zj), we obtain f′(zj)=0 for each j∈J0.
If l∈J0, then zl=z0.
Set J0={k1,…,km}, a finite set. Since fk1(z0)=1 and
fk1′(z0)=0, the multiplication law shows that
[TABLE]
By the same reasonings, we have
f′(zl)={(Πk∈J0∖{k1,⋯,km−1}fk)′}((z0)=fkm′(z0)=0.
Hence f is a desired function.
∎
Proposition 3.5**.**
For each η0,η1,η2∈∂A
with η0∈{η1,η2},
there exists f0∈S∞ and j0∈{0,1,2} such that
[TABLE]
Proof.
Set zj=id(ηj) for j=0,1,2.
Case 1.
Suppose that z0=z1=z2.
Since η0∈{η1,η2}, there exists v1∈H∞(D)
such that v1(η0)=1 and v1(η1)=0=v1(η2).
We set g1=I0(v1)∈S∞, and then g1′(η0)=1 and
g1′(η1)=0=g1′(η2) (see (2.6)).
Because g1 is continuous on D,
we have that g1(ξ)=g(η) for each ξ∈T and η∈Mξ,
the fiber over ξ.
This implies that g1(η0)=g1(η1)=g1(η2),
since z0=z1=z2.
Then the function f1=g1−g1(η0)1∈S∞ satisfies
[TABLE]
Case 2.
Suppose that z0=z1=z2.
Setting g2(z)=(z−z0)2(z−z2)∈S∞,
we see that g2(z0)=0=g(z2),
g2′(z0)=0 and g2′(z2)=0.
Then f2=g2/g2′(z2)∈S∞ satisfies
[TABLE]
Case 3.
Suppose that z0=z2=z1.
By a quite similar argument to Case 2, we can find
f3∈S∞ with
[TABLE]
Case 4.
Now we suppose that z0=z1 and z0=z2. Set
[TABLE]
We see that g4′(z0)=0, g4′(z1)=0=g4′(z2) and
g4(zj)=0 for j=0,1,2.
Set f4=g4/g4′(z0)∈S∞, and then
[TABLE]
The proof is complete.
∎
Before proving that ϕλ(x) is independent of λ∈T,
we prepare one lemma, which is an essential part of it.
Lemma 3.6**.**
Let Ke∈{KΣ,KC,Kσ}.
Then ϕλ(x)∈{ϕ1(x),ϕi(x)} for all λ∈T and x∈Ke.
Proof.
Note first that ϕ is a map from T×Ke to q1(Ke).
If Ke=Kσ, then q1(Ke)={a}.
Thus ϕλ(x)=ϕ1(x) for all λ∈T and x∈Kσ.
Let Ke∈{KΣ,KC} and x0∈Ke.
Suppose, on the contrary, that ϕλ0(x0)∈{ϕ1(x0),ϕi(x0)}
for some λ0∈T∖{±1,±i}
(see Remark 3.1).
If Ke=KΣ, then by Proposition 3.4, there exists f0∈S∞ such that
[TABLE]
By (3.2), we have
f0(Φλ0(x0))=1 and f0(Φ1(x0))=0=f0(Φi(x0)).
Applying these equalities to (3.1) to get λ0s0(x0)=0,
which contradicts λ0∈T.
If Ke=KC, then ϕ=ψ by definition.
Proposition 3.5 shows that there exist
f1∈S∞ and μ0∈{λ0,1,i} such that
[TABLE]
Equality (3.2) shows that
f1(Φμ0(x0))=φμ0(x0) and
f1(Φν(x0))=0 for ν∈{λ0,1,i}∖{μ0}.
If μ0=λ0, then equality (3.1) yields
λ0s0(x0)φλ0(x0)=0. This contradicts
λ0φλ0(x0)∈T. Hence μ0∈{1,i}.
Let λ0=r0+it0 with r0,t0∈R. If μ0=1, then
0=r0φ1(x0) by (3.1), which implies r0=0.
Thus it0=λ0∈T∖{±1,±i}, a contradiction.
If μ0=i, we will lead a similar contradiction by the same reasonings.
From the above arguments, we conclude that
ϕλ(x0)∈{ϕ1(x0),ϕi(x0)} for all λ∈T.
Since x0∈Ke was arbitrary, the proof is complete.
∎
Now we are in a position to show that ϕλ does not depend
on λ∈T.
We first prove it for Ke=KΣ and Ke=Kσ.
Lemma 3.7**.**
Let Ke∈{KΣ,Kσ}.
Then ϕ1:Ke→q1(Ke) is a surjective and continuous function
with ϕ1(x)=ϕλ(x) for all x∈Ke and λ∈T.
Proof.
If Ke=Kσ, then ϕ is a surjective and continuous function
from T×Kσ onto q1(Kσ)={a}.
Hence ϕ1:Kσ→{a} is a surjective and continuous function
satisfying ϕ1(x)=ϕλ(x) for all x∈Kσ and λ∈T.
Let Ke=KΣ and x0∈KΣ. We shall prove that ϕ1(x0)=ϕi(x0).
Since ϕ is a continuous function from T×KΣ onto q1(KΣ)=T,
the function ϕ(⋅,x0):T→T, which maps λ∈T to
ϕ(λ,x0), is continuous on T as well. This implies that the image
ϕ(T,x0) of T under the function ϕ(⋅,x0) is a connected subset
of T. Because ϕ(T,x0)∈{ϕ1(x0),ϕi(x0)} by Lemma 3.6,
we conclude that ϕ1(x0)=ϕi(x0). We thus obtain ϕλ(x0)=ϕ1(x0)
for all λ∈T.
We show that ϕ1:KΣ→T is surjective.
Since ϕ is surjective, for each ξ∈T
there exists (λ1,x1)∈T×KΣ such that ϕ(λ1,x1)=ξ.
Then we have that ϕ1(x1)=ϕλ1(x1)=ϕ(λ1,x1)=ξ.
This shows that ϕ1 is surjective.
∎
We now prove that the above result holds for Ke=KC.
Lemma 3.8**.**
The map ϕ1:KC→∂A is surjective and continuous.
In addition, ϕ1(x)=ϕλ(x) holds for all x∈KC and λ∈T.
Proof.
Note that ϕ=ψ on T×KC by definition.
Let x0∈KC. We shall prove that ϕ1(x0)=ϕi(x0).
To this end, suppose not, and then
ϕ1(x0)=ϕi(x0).
Let λ0=(1+i)/2∈T, and set
η0=ϕλ0(x0), η1=ϕ1(x0)
and η2=ϕi(x0).
We see that η0∈{η1,η2}
by Lemma 3.6.
If η0=η1=η2, Proposition 3.5 shows that
there exist f0∈S∞ and j0∈{0,1,2} such that
[TABLE]
Substituting these equalities into (3.2), we get
f0(Φμ0(x0))=φμ0(x0) for some μ0∈{λ0,1,i} and
f0(Φν(x0))=0 for ν∈{λ0,1,i}∖{μ0}.
We can lead a contradiction by a similar argument to Proof of Lemma 3.6.
If η0=η2=η1, we will arrive at a contradiction
by the same reasonings.
Thus, we have ϕ1(x0)=ϕi(x0), and therefore,
ϕλ(x0)=ϕ1(x0) for all λ∈T.
Since x0∈KC is arbitrarily chosen, we conclude that
ϕ1(x)=ϕλ(x) for all x∈KC and λ∈T.
We show that ϕ1 is surjective.
For each η∈q1(KC), we can choose (λ1,x1)∈T×KC
such that ϕ(λ1,x1)=η, since ϕ is surjective.
Then ϕ1(x1)=ϕλ1(x1)=ϕ(λ1,x1)=η.
Hence, ϕ1 is surjective.
∎
We shall prove that ψλ(x) is independent of λ∈T.
The proof below is quite similar to that of Lemmas 3.7.
Lemma 3.9**.**
Let Ke∈{KΣ,KC,Kσ}.
Then ψ1:Ke→∂A is a surjective and continuous map
with ψ1(x)=ψλ(x) for all x∈Ke and λ∈T.
Proof.
If Ke=KC, then Lemma 3.8 yields the conclusion,
since ϕ=ψ for KC.
We will consider the case when Ke∈{KΣ,Kσ}.
Let x0∈Ke.
By Lemma 3.7, Φλ(x0)=(ϕ1(x0),ψλ(x0),φλ(x0))
for λ∈T.
Equality (3.2) is reduced to
[TABLE]
for all f∈S∞ and λ∈T.
First, we show that ψλ(x0)∈{ψ1(x0),ψi(x0)} for all λ∈T.
Suppose, on the contrary, that ψλ0(x0)∈{ψ1(x0),ψi(x0)}
for some λ0∈T∖{1,i}.
Set η0=ψλ0(x0), η1=ψ1(x0) and η2=ψi(x0).
Then ηj∈∂A for j=0,1,2 and η0∈{η1,η2}.
There exists v0∈H∞(D) such that
v0(η0)=1 and v0(η1)=0=v0(η2).
The function f0∈S∞, defined by f0=I0(v0)−I0(v0)(ϕ1(x0))1,
satisfies that f0(ϕ1(x0))=0, f0′(η0)=1 and
f0′(η1)=0=f0′(η2).
By (3.3), f0(Φλ0(x0))=φλ0(x0) and
f0(Φ1(x0))=0=f0(Φi(x0)).
If we substitute these equalities into (3.1), we obtain
λ0s0(x0)φλ0(x0)=0, which contradicts λ0,φλ0(x0)∈T.
Consequently, ψλ(x0)∈{ψ1(x0),ψi(x0)} for all λ∈T.
We next prove that ψ1(x0)=ψi(x0).
Suppose that ψ1(x0)=ψi(x0).
Let λ1=(1+i)/2∈T. Then ψλ1(x0)∈{ψ1(x0),ψi(x0)}
as proved above.
If ψλ1(x0)=ψ1(x0)=ψi(x0), then we can choose
f1∈S∞ so that
[TABLE]
by the same arguments as in the previous paragraph.
Applying these equalities to (3.3), we have f(Φi(x0))=φi(x0)
and f(Φ1(x0))=0=f(Φλ1(x0)), since ψλ1(x0)=ψ1(x0).
By (3.1), we get 0=is0(x0)φi(x0), which is impossible.
If ψλ1(x0)=ψi(x0)=ψ1(x0), then we will reach
a contradiction by a quite similar argument.
Therefore, we conclude that ψ1(x0)=ψi(x0).
Consequently ψλ(x)=ψ1(x) for all λ∈T and x∈Ke.
Finally, since ψ is surjective, for each η∈∂A there exists
(λ,x)∈T×Ke
such that ψ(λ,x)=η. We thus obtain
η=ψλ(x)=ψ1(x), which shows the surjectivity of ψ1.
∎
We investigate the function φλ.
To be more explicit, we shall prove, for each x∈Ke, that
φi(x) is φ1(x) or −φ1(x).
Lemma 3.10**.**
Let Ke∈{KΣ,KC,Kσ}.
There exists a continuous function s1:Ke→{±1}
such that φi(x)=s1(x)φ1(x) for all x∈Ke.
Proof.
Fix an arbitrary x0∈Ke. According to Lemmas 3.7, 3.8
and 3.9,
we can write
Φλ(x0)=(ϕ1(x0),ψ1(x0),φλ(x0)) for all λ∈T.
Let λ0=(1+i)/2∈T and
f0(z)=z−ϕ1(x0)1∈S∞.
Then f0(ϕ1(x0))=0 and f0′=1 on ∂A.
By (3.3), f0(Φμ(x0))=φμ(x0) for μ=λ0,1,i.
If we apply these equalities to (3.1), then we obtain
2λ0s0(x0)φλ0(x0)=φ1(x0)+is0(x0)φi(x0).
As φλ(x0)∈T for all λ∈T, we have
[TABLE]
Then we get is0(x0)φi(x0)φ1(x0)=i
or is0(x0)φi(x0)φ1(x0)=−i.
Thus, for each x∈Ke, we obtain φi(x)=s0(x)φ1(x) or
φi(x)=−s0(x)φ1(x).
By the continuity of φ1, φi and s0, there exists a continuous function
s1:Ke→{±1} such that φi(x)=s1(x)φ1(x) for all x∈Ke.
∎
In the rest of this paper, we denote a+ibs by [a+ib]s for a,b∈R and
s∈{±1}.
Thus, for each λ∈C, [λ]s=λ if s=1 and [λ]s=λ if s=−1.
Therefore, [λμ]s=[λ]s[μ]s for all λ,μ∈C. If, in addition, λ∈T,
then [λ]s=λs for s∈{±1}.
From the above arguments, we have a partial form of the isometry S on Be.
This is an important part of the isometry T0=U−1SU on S∞
(see (2.9)).
Lemma 3.11**.**
Let Ke∈{KΣ,KC,Kσ}.
For each f∈S∞ and x∈Ke,
[TABLE]
Proof.
Let f∈S∞ and x∈Ke.
By (2.10),
Re{S∗(χ)(f)}=Re{χ(S(f))} for every χ∈(Be)∗.
Taking χ=δx and χ=iδx into the last equality, we get
[TABLE]
respectively, where Imz is the imaginary part of a complex number z. Therefore,
[TABLE]
Recall that S∗(δx)=α1(x)δΦ(1,x), and S∗(iδx)=is0(x)α1(x)δΦ(i,x)
by Lemma 3.2.
Substitute these two equalities into (3.5) to obtain
Applying these two equalities to the above formula of S(f)(x),
we assure from (2.2) that
[TABLE]
This completes the proof.
∎
4. Proof of the main results
We recall that S(f)=T0(f) for f∈S∞ by (2.9).
Applying (2.2), we can rewrite
equality (3.4) as
[TABLE]
for all f∈S∞ and x=(z,η,w)∈Ke=De×T.
In this section, we shall derive from (4.1)
that T0(f)(z)=[α1(x)f(ϕ1(x))]s0(x)
and T0(f)′(η)w=[α1(x)f′(ψ1(x))φ1(x)]s0(x)s1(x);
the main idea of its proof is to show that α1(x), ϕ1(x) and s0(x) are
all independent of w for x=(z,η,w)∈Ke.
Once we obtain it, then the first term of the right-hand side of (4.1) is
constant with respect to w, and therefore, we get
T0(f)(z)=[α1(x)f(ϕ1(x))]s0(x).
For this end, we first show that ϕ1(z,η,w) does not depend on w∈T.
In Lemmas 4.1 and 4.2, we assume that De is one of
DΣ=T×∂A, DC={(η,η):η∈∂A}
and Dσ={a}×∂A with a∈D.
Lemma 4.1**.**
For each (z,η)∈De, the value ϕ1(z,η,w) is independent of w∈T.
Proof.
Take any (z,η)∈De and w1,w2∈T with w1=w2.
We shall show that
ϕ1(z,η,w)∈{ϕ1(z,η,w1),ϕ1(z,η,w2)}
for all w∈T.
If Ke=Kσ, then ϕ1 is a constant function with the value a
on Kσ. We need to consider the case when Ke∈{KΣ,KC}.
Suppose that there exists w0∈T such that
ϕ1(z,η,w0)∈{ϕ1(z,η,w1),ϕ1(z,η,w2)}.
We set xj=(z,η,wj), zj=ϕ1(xj) and ηj=ψ1(xj)
for j=0,1,2. Then z0∈{z1,z2} by hypothesis.
If Ke=KΣ, then zj∈T for j=0,1,2.
There exists f0∈S∞ such that
[TABLE]
by Proposition 3.4.
Substituting these equalities into (4.1), we obtain
[TABLE]
Since w1=w2, the above equalities yield
T0(f0)′(η)=0=T0(f0)(z).
Therefore, [α1(x0)]s0(x0)=0,
which is impossible, since α1(x0)∈T.
Hence, ϕ1(z,η,w)∈{ϕ1(z,η,w1),ϕ1(z,η,w2)}
for all w∈T.
If Ke=KC, then zj=ηj∈∂A for j=0,1,2.
By Proposition 3.5, there exist f1∈S∞ and j0∈{0,1,2}
such that
We notice that w0,w1 and w2 are mutually distinct
by the choice of them. Then the above equalities show that
T0(f1)′(η)=0=T0(f1)(z).
Therefore, [α1(xj0)φ1(xj0)]s0(xj0)s1(xj0)=0,
which contradicts α1(xj0),φ1(xj0)∈T.
Hence, ϕ1(z,η,w)∈{ϕ1(z,η,w1),ϕ1(z,η,w2)}
for all w∈T.
We now prove that the value ϕ1(z,η,w) is independent of w∈T.
Since ϕ is continuous, so is the function
ϕ1(z,η,⋅):T→q1(Ke),
which maps w∈T to ϕ1(z,η,w).
Thus, the set ϕ1(z,η,T) is connected.
By the previous paragraph, we see that
ϕ1(z,η,T)⊂{ϕ1(z,η,w1),ϕ1(z,η,w2)}.
We thus obtain ϕ1(z,η,w1)=ϕ1(z,η,w2).
This implies that the value ϕ1(z,η,w) is independent of w∈T.
∎
We next prove that ψ1(z,η,w) does not depend on w∈T;
proof of the result is quite similar to that of Lemma 4.1.
Lemma 4.2**.**
For each (z,η)∈De, the value ψ1(z,η,w) is independent of w∈T.
Proof.
Fix arbitrary (z,η)∈De and w1,w2∈T satisfying w1=w2.
We shall prove that ψ1(z,η,w)∈{ψ1(z,η,w1),ψ1(z,η,w2)}
for all w∈T.
Suppose, on the contrary, that there exists w0∈T such that
ψ1(z,η,w0)∈{ψ1(z,η,w1),ψ1(z,η,w2)}.
We set xj=(z,η,wj) and ηj=ψ1(xj) for j=0,1,2.
Then η0∈{η1,η2} by the hypothesis.
Choose v0∈H∞(D) so that v0(η0)=1 and
v0(η1)=0=v0(η2).
Recall that ϕ1(xj) is independent of j by Lemma 4.1.
If we set f0=I0(v0)−I0(v0)(ϕ1(x0))1∈S∞, then we observe
Because w1=w2, we assure from the above equalities that
T0(f0)′(η)=0=T0(f0)(z).
Hence, [α1(x0)φ1(x0)]s0(x0)s1(x0)=0,
which contradicts α1(x0)φ1(x0)∈T.
We thus conclude that ψ1(z,η,w)∈{ψ1(z,η,w1),ψ1(z,η,w2)}
for all w∈T.
We show that the value ψ1(z,η,w) is independent of w∈T.
The set ψ1(z,η,T)={ψ1(z,η,w):w∈T}
is connected, since ψ1 is continuous.
By the last paragraph, we see that ψ1(z,η,w1)=ψ1(z,η,w2).
Hence, the value ψ1(x,η,w) does not depend on w∈T, as is claimed.
∎
Now we shall prove that both s0(z,η,w) and s1(z,η,w) are constant
functions with respect to w∈T.
Lemma 4.3**.**
(1)
If Ke∈{KΣ,Kσ}, then for x=(z,η,w)∈Ke,
the values s0(x) and s1(x) are independent
of z∈q1(Ke) and w∈T.
2. (2)
If Ke=KC, then for x=(η,η,w)∈Ke,
the values s0(x) and s1(x) are independent of w∈T.
Proof.
Let k=0,1 and η∈∂A.
(1)
Suppose that Ke∈{KΣ,Kσ}.
The function sk(⋅,η,⋅),
which sends (z,w)∈q1(Ke)×T to sk(z,η,w),
is continuous on q1(Ke)×T.
Since q1(Ke)=T if Ke=KΣ, and q1(Ke)={a} if Ke=Kσ,
the product space q1(Ke)×T is connected.
Then the image sk(q1(Ke),η,T) of q1(Ke)×T
under the continuous mapping sk(⋅,η,⋅) is a connected subset
of {±1}.
Then we deduce that the value sk(z,η,w) does not depend on
z∈q1(Ke) and w∈T.
(2)
The function sk(η,η,⋅), which sends
w∈T to sk(η,η,w), is continuous on T.
The image sk(η,η,T) of T under the mapping
sk(η,η,⋅) is a connected subset of {±1}.
Hence, the value sk(η,η,w) does not depend on w∈T.
∎
By Lemmas 4.1, 4.2 and 4.3, we may write
ϕ1(z,η,w)=ϕ1(z,η), ψ1(z,η,w)=ψ1(z,η)
and, for k=0,1, sk(z,η,w)=sk(η) for (z,η,w)∈Ke.
Then we can rewrite equality (4.1) as follows:
[TABLE]
for f∈S∞ and x=(z,η,w)∈Ke.
We need to show that α1(z,η,w) is independent of w∈T.
We use the following elementary result to prove it.
Proposition 4.4**.**
Let λ,μ∈C. If ∣λ+μw∣=1 for all w∈T, then λμ=0
and ∣λ∣+∣μ∣=1.
Proof.
Suppose, on the contrary, that λμ=0.
Choose w1∈T so that μw1=λ∣μ∣∣λ∣−1, and set w2=−w1.
By hypothesis, ∣λ+μw1∣=1=∣λ+μw2∣, that is,
[TABLE]
These equalities show that |\lambda|+|\mu|=\bigl{|}|\lambda|-|\mu|\bigr{|}.
This implies that λ=0 or μ=0,
which contradicts the hypothesis that λμ=0. Thus we obtain λμ=0,
and then ∣λ∣+∣μ∣=1.
∎
In this subsection, we give proof of Theorem 1; to this end,
we consider the case when Ke=KΣ=DΣ×T
and Ke=KC=DC×T, where DΣ=T×∂A and
DC={(η,η):η∈∂A}.
Lemma 4.5**.**
(1)
The function s0 as in Lemma 3.2 is constant
on ∂A; we will write s0 instead of s0(η).
2. (2)
There exists a constant c∈T such that
(a)
T0(1)(z)=cs0* for all z∈D,*
2. (b)
T0(i1)(z)=is0T0(1)(z)* for all z∈D,*
3. (c)
α1(x)=c* for all x∈Ke.*
Proof.
Let λ∈{1,i}. If we substitute f=λ1∈S∞ into (4.2),
then
[TABLE]
for all x=(z,η,w)∈Ke.
We shall show that T0(λ1)′=0 on M
for Ke=KΣ and Ke=KC.
(i)
Let Ke=KΣ.
Suppose, on the contrary, that there exists η0∈∂A such that
T0(λ1)′(η0)=0.
Let z∈T.
By (4.3),
∣T0(λ1)(z)+T0(λ1)′(η0)w∣=1 for all w∈T.
Because T0(λ1)′(η0)=0, Proposition 4.4 shows that
T0(λ1)(z)=0.
Since z∈T is arbitrary, we deduce that T0(λ1)=0 on T.
Since T0(λ1) is an analytic function on D,
it follows that T0(λ1) is identically zero on D.
This implies that T0(λ1)′=0 on M,
which contradicts T0(λ1)′(η0)=0.
Hence, T0(λ1)′(η)=0 for all η∈∂A.
Since ∂A is a boundary for A, we get T0(λ1)′=0 on M.
(ii) Now, we suppose that Ke=KC.
Choose η0∈∂A arbitrarily.
Equality (4.3) shows that
∣T0(λ1)(η0)+T0(λ1)′(η0)w∣=1
for all w∈T. By Proposition 4.4,
[TABLE]
Because η0∈∂A is arbitrarily chosen, we deduce that
T0(λ1)T0(λ1)′=0
and ∣T0(λ1)∣+∣T0(λ1)′∣=1
on ∂A.
Since ∂A is a boundary for A,
we see that T0(λ1)T0(λ1)′=0 on M.
Hence T0(λ1)T0(λ1)′=0 on D.
Both T0(λ1) and T0(λ1)′ are analytic on the connected set D,
and thus T0(λ1)=0 on D, or T0(λ1)′=0 on D.
If T0(λ1)=0 on D, then we would have T0(λ1)′=0 on D,
and hence T0(λ1)=T0(λ1)′=0 on M.
This contradicts ∣T0(λ1)∣+∣T0(λ1)′∣=1 on ∂A,
and consequently we obtain T0(λ1)′=0 on D.
This implies that T0(λ1)′ is identically zero on M,
as is claimed.
Since D is connected, we see that T0(λ1) is constant on D.
We set cλ=T0(λ1), and then cλ=[λα1(x)]s0(η)
for all x=(z,η,w)∈Ke by (4.3). Then we obtain ∣cλ∣=1.
It follows that ci=[iα1(x)]s0(η)=[i]s0(η)[α1(x)]s0(η)=is0(η)c1,
and hence ci=is0(η)c1 for all η∈∂A.
This shows that s0 is a constant function on ∂A.
We set c=c1s0, and then T0(1)=c1=cs0 and
T0(i1)=ci=is0cs0 on ∂A.
Furthermore, α1=c1s0=c on Ke.
Since ∂A is a boundary for A, we have T0(1)(z)=cs0 and T0(i1)(z)=is0T0(1)(z) for z∈D.
∎
for every f∈S∞ and x=(z,η,w)∈Ke.
Then we show that ϕ1(z,η) is constant for η∈∂A.
Lemma 4.6**.**
Let c∈T be the constant as in Lemma 4.5. Then
T0(id)(z)=[cϕ1(z,η)]s0
for all (z,η)∈De
with De=DΣ or De=DC.
Proof.
Let (z0,η0)∈De. We set ξ0=ϕ1(z0,η0) and
g=id−ξ01∈S∞.
Then g(ξ0)=0 and g′=1, and thus, by (4.4),
[TABLE]
for all w∈T.
Hence ∣T0(g)(z0)+T0(g)′(η0)w∣=1 for all w∈T.
By Proposition 4.4, we obtain
T0(g)(z0)T0(g)′(η0)=0.
We shall prove that T0(g)(z0)=0.
Suppose, on the contrary, that T0(g)(z0)=0, and then
T0(g)′(η0)=0. By (4.5), we have
[TABLE]
for all w∈T.
By the surjectivity of T0, there exists h∈S∞ such that
T0(h)(z0)=0 and T0(h)′(η0)=1.
Applying these two equalities to (4.4), we get
[TABLE]
for all w∈T. The rightmost hand side of the above equalities is independent of w,
and thus we arrive at a contradiction.
Consequently, T0(g)(z0)=0 as is claimed.
Since T0 is real linear,
0=T0(g)(z0)=T0(id)(z0)−T0(ξ01)(z0),
and hence T0(id)(z0)=T0(ξ01)(z0).
Here, we note that T0(1)=cs0=[c]s0
and T0(i1)=is0T0(1) by Lemma 4.5.
These imply that
[TABLE]
where we have used the real linearity of T0.
Since (z0,η0)∈De is arbitrarily chosen, we get
T0(id)(z)=[cϕ1(z,η)]s0 for all (z,η)∈De.
∎
Finally, we investigate the function φ1 on Ke.
In fact, we prove that φ1(z,η,w) is constant for z.
More explicitly, we have the following result on φ1.
Lemma 4.7**.**
For each (z,η,w)∈Ke,
[TABLE]
Proof.
Let (z,η,w)∈Ke.
Then T0(id)(z)=[cϕ1(z,η)]s0 by Lemma 4.6.
Substituting this equality and f=id into (4.4), we obtain
T0(id)′(η)w=[cφ1(z,η,w)]s0s1(η).
If we take w=1 in the last equality, then
T0(id)′(η)=[cφ1(z,η,1)]s0s1(η).
Note that T0(id)′(η)=0, since c,φ1(z,η,1)∈T
(see Definition 3.2 and Lemma 4.5).
We have
[TABLE]
and hence [φ1(z,η,w)]s0s1(η)=w[φ1(z,η,1)]s0s1(η).
We conclude φ1(z,η,w)=ws0s1(η)φ1(z,η,1)
for all (z,η,w)∈Ke.
∎
Now we are ready to prove Theorem 1 for the characterizations
of the isometry T0 on S∞ with the norms ∥⋅∥(Σ) and ∥⋅∥(C).
Then Ke=KΣ=DΣ×T and Ke=KC=DC×T
with DΣ=T×∂A and DC={(η,η):η∈∂A}.
Fix arbitrary f∈S∞ and (z0,η0)∈De.
We have φ1(z0,η0,w)=ws0s1(η0)φ1(z0,η0,1)
for all w∈T by Lemma 4.7.
Applying Lemmas 4.6 and 4.7, we may write
ϕ1(z,η)=ϕ1(z) and
φ1(z,η,w)=ws0s1(η)φ1(η) for all (z,η,w)∈Ke.
Now equality (4.4) is reduced to
[TABLE]
for all w∈T. The above equality holds for every w∈T, and then
T0(f)(z0)=[cf(ϕ1(z0))]s0 and
T0(f)′(η0)=[cφ1(η0)]s0s1(η0)[f′(ψ1(z0,η0))]s0s1(η0).
Since (z0,η0)∈De is arbitrary, we get
[TABLE]
for all (z,η)∈De.
Set ρ=c−s0T0(id)∈A(D), and then
cs0ρ(z)=T0(id)(z)=[cϕ1(z)]s0 for all
z∈q1(Ke) by (4.6).
This shows that
[TABLE]
for all z∈q1(Ke).
Consequently, by (4.6) and (4.8),
[TABLE]
for all z∈q1(Ke).
If Ke=KΣ, then q1(Ke)=T.
Since ρ is an analytic function on D, the maximum modulus principle
shows that equality (4.9) holds for all z∈D.
Note that ρ∈A(D) satisfies ∣ρ(z)∣=∣ϕ1(z)∣=1
for all z∈q1(Ke)=T
by (4.8),
and thus ρ(D)⊂D by the maximum modulus principle.
If Ke=KC, then q1(Ke)=∂A. Since ∂A is a boundary for A,
we see that (4.9) holds for all η∈M. In particular,
(4.9) is valid for all z∈D.
By the continuity of T0(f), f and ρ on D,
we observe that equality (4.9) is true for all z∈D.
Note that ρ∈A(D) satisfies ∣ρ(η)∣=∣ϕ1(η)∣=1
for all η∈∂A, and thus ρ(M)⊂D.
Thus, we have ρ(D)⊂D.
We now prove that ρ is injective on D.
Suppose that ρ(z1)=ρ(z2) for z1,z2∈D.
Since T0 is surjective, there exists f0∈S∞ such that
T0(f0)=id∈S∞.
Since (4.9) holds for z∈D, we obtain
[TABLE]
and thus ρ is injective on D, as is claimed.
Then ρ is a non-constant function on D.
By the maximum modulus principle, we see that ρ(D)⊂D.
Since T0−1 is a surjective real linear isometry on S∞ as well,
the above arguments can be applied to T0−1.
Then there exist d∈T, θ∈A(D) with θ(D)⊂D
and s2∈{±1} such that
[TABLE]
for all f∈S∞
and z∈D. Let z∈D. If we substitute f=T0(1) into (4.10),
then we have 1=[dT0(1)([θ(z)]s2)]s2.
As T0(1)=cs0 by (4.9), we obtain 1=[dcs0]s2.
Substituting f=T0(id) into (4.10) to get
z=[dT0(id)([θ(z)]s2)]s2.
By (4.9), T0(id)(z)=cs0ρ(z), and hence
[TABLE]
where we have used that 1=[dcs0]s2.
Because z∈D is arbitrarily chosen, we get
z=[ρ([θ(z)]s2)]s2 for all z∈D.
This shows that D⊂ρ(D), and therefore,
ρ(D)=D.
From the above arguments, we see that
ρ=c−s0T0(id)∈A(D) is an analytic function on D,
which is a homeomorphism on D
as well. It is well-known (cf. [23, Theorem 12.6]) that for such a function ρ
there exist λ∈T and b∈D such that
[TABLE]
Because T0(id)(z)=cs0ρ(z) for z∈D,
we have T0(id)′(z)=cs0ρ′(z) for z∈D.
Differentiating both sides of (4.11),
we see that ρ′(z)=λ(1−∣b∣2)/(1−bz)2 for z∈D.
Hence c−s0T0(id)′=ρ′ belongs to A(D).
Therefore, ρ′(ξ)=ρ′(η) for all
ξ∈T and η∈Mξ. Substituting f=id into (4.7),
we get ∣T0(id)′∣=∣cφ1∣=1 on ∂A. Hence, ∣ρ′∣=1 on ∂A.
We see that ∂A∩Mξ=∅ for all ξ∈T. In fact, let
ξ0∈T, and set u(z)=(ξ0z+1)/2∈A(D) for z∈D.
Then u(η)=u(ξ) for all ξ∈T and η∈Mξ.
Note that u(ξ0)=1 and
∣u(ξ)∣<1 for all ξ∈T∖{ξ0}.
Since ∂A is a boundary for A,
we obtain ∂A∩Mξ0=∅.
This proves ∂A∩Mξ=∅ for all ξ∈T.
For each z∈T, we can find η∈∂A∩Mz.
Then, ∣ρ′(z)∣=∣ρ′(η)∣=1, since ρ′∈A(D).
Consequently,
∣ρ′(z)∣=1 for all z∈T, that is, 1−∣b∣2=∣1−bz∣2
for all z∈T.
This implies that b=0: In fact, if b=0, then we substitute z=±b/∣b∣
into the equality 1−∣b∣2=∣1−bz∣2 to obtain
[TABLE]
which is impossible. Therefore, b=0 and consequently ρ(z)=λz
for all z∈D.
By (4.9) we conclude that T0(f)(z)=cf(λz) for all f∈S∞
and z∈D,
or T0(f)(z)=cf(λz) for all f∈S∞ and z∈D.
By (2.8), T0=T−T(0), and thus
T(f)(z)=T(0)(z)+cf(λz) for all f∈S∞ and z∈D, or
T(f)(z)=T(0)(z)+cf(λz) for all f∈S∞ and z∈D.
Conversely, if T is one of the above forms, then it is easy to check that T is a
surjective isometry on S∞.
∎
In this subsection, we consider the case when Ke=Kσ={a}×∂A×T
for a∈D.
Recall that
[TABLE]
for all x=(z,η,w)∈Kσ by (4.4).
By definition, ϕ1 is a map from
Kσ to q1(Kσ)={a}.
Hence ϕ1 is the constant function which takes the value only a.
In addition, since q1(Kσ)={a}, we may write
[TABLE]
for (z,η)∈{a}×∂A and w∈T.
Now we obtain the following equality
[TABLE]
for all f∈S∞ and x=(a,η,w)∈{a}×∂A×T.
We need to prove that
T0(f)′(η)w=[α1(x)f′(ψ1(η))φ1(η,w)]s0(η)s1(η).
We first show that α1(a,η,w) is independent of w∈T.
Lemma 4.8**.**
There exists c0∈T such that T0(1)=c0 on D
and α1(a,η,w)=[c0]s0(η)=α1(a,η,1)
for all (η,w)∈∂A×T.
Proof.
Let g=id−a1, and then g′=1.
If we apply f=1,g∈S∞ to (4.13), then
[TABLE]
for all (η,w)∈∂A×T.
We shall prove that T0(1)(a)=0. To this end, we assume that
T0(1)(a)=0,
and then T0(1)′(η)w=[α1(a,η,w)]s0(η) for all
(η,w)∈∂A×T.
Substituting this equality and (4.15) into (4.13) to obtain
[TABLE]
for all f∈S∞ and (η,w)∈∂A×T.
Since w∈T is arbitrary, we get
[TABLE]
for all f∈S∞ and η∈∂A.
Taking f=id2∈S∞ in (4.16), we have
[TABLE]
for all η∈∂A.
Let j∈{±1}.
Since ∂A∩Mj=∅, we can choose
ηj∈∂A∩Mj. Then id(ηj)=j.
By Lemma 3.9 (see, also Lemma 4.2),
ψ1:∂A→∂A is surjective, and thus,
there exists ζj∈∂A such that ψ1(ζj)=ηj.
We thus obtain id(ψ1(ζj))=j.
Substituting η=ζj into (4.17) to get
T0(id2)(a)=2jT0(g)(a), which yields T0(g)(a)=0.
We obtain T0(f)(a)=0 for all f∈S∞ by (4.16).
This is impossible since T0 is surjective. Consequently, T0(1)(a)=0,
as is claimed.
We see that T0(1)′(η)=0 for all η∈∂A
by equality (4.14) with Proposition 4.4.
Since ∂A is a boundary for A, we have T0(1)′=0 on M.
Then T0(1) is constant on D, say c0∈C.
Since D is dense in M, we obtain T0(1)=c0 on M.
In particular, T0(1)=c0 on D.
Substituting T0(1)′(η)=0 into (4.14) to get
c0=T0(1)(a)=[α1(a,η,w)]s0(η) for all (η,w)∈∂A×T,
and thus c0∈T.
Hence α1(a,η,w)=[c0]s0(η)=α1(a,η,1).
∎
By Lemma 4.8,
α1(a,η,w)=[c0]s0(η) for all (η,w)∈∂A×T.
Equality (4.13) is reduced to
[TABLE]
for every f∈S∞ and (η,w)∈∂A×T.
In the next lemma, we determine φ1(η,w) as a function of variable
w∈T.
Then we derive the form of T0(f)′(η) from (4.18).
Lemma 4.9**.**
(1)
T0(ida)′(η)=[c0]s1(η)[φ1(η,1)]s0(η)s1(η)*
for all η∈∂A, where ida=id−a1.*
2. (2)
φ1(η,w)=φ1(η,1)ws0(η)s1(η)*
for all (η,w)∈∂A×T.*
for every w∈T.
Then ∣T0(ida)(a)+T0(ida)′(η0)w∣=1 for all w∈T.
We shall prove that T0(ida)(a)=0. Suppose, on the contrary,
that T0(ida)(a)=0.
Proposition 4.4 shows that T0(ida)′(η0)=0.
Then, from (4.19) we have
T0(ida)(a)=[c0]s1(η0)[φ1(η0,w)]s0(η0)s1(η0)
for all w∈T.
Since T0 is surjective, there exists g∈S∞ such that T0(g)(a)=0
and T0(g)′(η0)=1.
Applying these equalities and
T0(ida)(a)=[c0]s1(η0)[φ1(η0,w)]s0(η0)s1(η0)
to (4.18), we get
[TABLE]
for all w∈T.
This is impossible since the rightmost hand side of the above equalities is independent
of w∈T. Consequently, T0(ida)(a)=0.
Because η0∈∂A is arbitrarily chosen, it follows from (4.19) that
T0(ida)′(η)w=[c0]s1(η)[φ1(η,w)]s0(η)s1(η)
for all (η,w)∈∂A×T.
Taking w=1 in the last equality, we get
T0(ida)′(η)=[c0]s1(η)[φ1(η,1)]s0(η)s1(η) for all η∈∂A.
Note that T0(ida)′(η)=0 for η∈T. We thus obtain
[TABLE]
and therefore, φ1(η,w)=ws0(η)s1(η)φ1(η,1)
for all (η,w)∈∂A×T.
∎
We are in a position to prove Theorem 2.
We need to investigate ψ1 to characterize the isometry T0 on S∞
for Kσ={a}×∂A×T.
The difficulty is to extend the map ψ1:∂A→∂A
to a homeomorphism defined on M.
The main idea of its proof is to induce a surjective real linear isometry
on the uniform algebra A.
We then induce a real algebra isometric isomorphism on A.
It is known that such an isometric isomorphism is represented as
a combination of a composition operator induced by a homeomorphism on M
and the complex conjugate.
Then we prove that ψ1 is extended to M.
For simplicity of notation, we write φ1(η,1)=φ1(η).
By Lemma 4.9, equality (4.18) is reduced to
[TABLE]
for all f∈S∞ and (η,w)∈∂A×T.
Since w∈T is arbitrary, we obtain
[TABLE]
and T0(f)(a)=c0[f(a)]s0(η) for all f∈S∞ and η∈∂A.
Substituting f=i1∈S∞ into the last equality, we get
T0(i1)(a)=c0[i]s0(η)=is0(η)c0 for all η∈∂A.
This shows that s0 is a constant function;
we may and do write s0(η)=s0. Then we have
[TABLE]
for all f∈S∞. For each v∈H∞(D), we define Ia(v) by
[TABLE]
where [a,z] denotes the straight line interval from a to z.
Then Ia(v) belongs to H∞(D) with Ia(v)(a)=0 and
[TABLE]
Hence Ia(v)∈S∞ and Ia(v)′=v on M.
We may regard Ia as a complex linear operator from H∞(D) to S∞.
Recall that A={v∈C(M):v∈H∞(D)}. Define
W:A→A by
[TABLE]
Since the Gelfand transform from H∞(D) onto A is an isometric isomorphism,
we see that the mapping W is well-defined.
[TABLE]
Because T0:S∞→S∞ is real linear, so is W:A→A.
Recall that Ia(v)′=v on M for v∈H∞(D).
Substituting f=Ia(v) into (4.20) to obtain
{T0(Ia(v))}′(η)=[c0]s1(η)[φ1(η)v(ψ1(η))]s0s1(η)
for all v∈H∞(D) and η∈∂A, where we have used that s0 is a constant function.
The last equality, combined with (4.23), shows that
[TABLE]
for v∈A and η∈∂A.
Note that c0,φ1(η)∈T by definition
(see Lemma 4.8 and Definition 3.2),
and thus ∣W(v)(η)∣=∣v(ψ1(η))∣ for all v∈A and η∈∂A.
Since ψ1:∂A→∂A is surjective by Lemma 3.9 and (4.12),
we see that
∥W(v)∥M=∥v∥M for all v∈A.
Thus W is a real linear isometry on (A,∥⋅∥M).
We shall prove that
[TABLE]
on M for each f∈S∞.
Let f∈S∞, and then {Ia(f′)}′=f′ on D by (4.22).
Thus Ia(f′)−f is constant on D.
By the definition of Ia, we have Ia(f′)(a)=0, and hence
[TABLE]
Because T0 is real linear, we obtain
T0(Ia(f′))=T0(f)−T0(f(a)1) on D.
Therefore, {T0(Ia(f′))}′=T0(f)′−T0(f(a)1)′ on M.
Equality (4.20) shows that T0(f(a)1)′=0 on ∂A, and thus
T0(f(a)1)′=0 on M, since ∂A is a boundary for A.
We deduce that
{T0(Ia(f′))}′=T0(f)′ on M.
We show that W is surjective.
Let v0∈A. By the surjectivity of T0:S∞→S∞,
there exists g∈S∞ such that T0(g)=Ia(v0) on D,
and hence T0(g)′=Ia(v0)′=v0 on M by (4.22).
Equality (4.24) shows that {T0(Ia(g′))}′=T0(g)′=v0 on M.
By (4.23), W(g′)={T0(Ia(g′))}′=v0 on M,
which shows the surjectivity of W:A→A.
Hence W is a surjective real linear isometry on the uniform algebra (A,∥⋅∥M).
By [18, Theorem 1.1] (see also [13, Theorem 3.3]),
there exist a continuous function
u1:∂A→T, a closed and open set G0⊂∂A and a homeomorphism
ϱ:∂A→∂A such that
[TABLE]
for all v∈A. Then W(1)=u1 on ∂A.
By the surjectivity of W, there exists v1∈H∞(D) such that W(v1)=1.
Then ∥v1∥M=∥W(v1)∥M=1, since W is a real linear isometry.
Equality (4.26) implies that
W(1)W(v12)=u1W(v12)=W(v1)2
on ∂A, and thus W(1)W(v12)=1 on ∂A.
Since ∂A is a boundary for A, we have W(1)W(v12)=1
on M.
Note that ∣W(v12)(η)∣≤1 for all η∈M,
since ∥W(v12)∥M=∥v12∥M=1.
Since ∥W(1)∥M=∥1∥M=1, we obatin
∣W(1)(η)∣≤1 for η∈M.
Combining these two inequalities with the equality
W(1)(η)W(v12)(η)=1 for η∈M,
we deduce ∣W(1)∣=1 on M.
Since W(1) is the Gelfand transform of some analytic function on D⊂M,
the maximum modulus principle shows that W(1) is a constant function
of modulus one. Hence, W(1)=c1 on M for some c1∈T.
Since W is bijective and real linear, so is the mapping c1W:A→A.
By (4.26), we see that
c1W(v1v2)=c1W(v1)c1W(v2) on ∂A
for all v1,v2∈A.
Because ∂A is a boundary for A, we see that c1W is multiplicative, and
hence it is a bijective real-algebra automorphism on A.
By [13, Themrem 2.1], there exist a homeomorphism ρ1:M→M
and a closed and open set G1 of M such that
[TABLE]
for all v∈A. By the connectedness of M, we deduce that G1=M
or G1=∅, and hence there exists s2∈{±1} such that
[TABLE]
for all v∈A and η∈M.
Since W(id)∈A, there exists h1∈H∞(D) such that W(id)=h1.
Then ∣h1∣=∣id∘ρ1∣ on M by (4.27).
Thus ∥h1∥M=∥id∘ρ1∥M=1,
which implies h1(D)⊂D.
Because ρ1 is a homeomorphism on M, we observe that h1 is a
non-constant analytic function on D.
The open mapping theorem yields that
h1(D) is an open set, and hence h1(D)⊂D.
This implies that ∣h1∣<1 on D.
Since ∣id∣=1 on M∖D (see [14, p. 161]),
the equality ∣id∘ρ1∣=∣h1∣ shows that
ρ1(D)⊂D.
The above arguments can be applied to the surjective real linear isometry W−1.
Then there exist a homeomorphism ρ−1:M→M with ρ−1(D)⊂D
and a constant
s3∈{±1}
such that
[TABLE]
for all v∈A and η∈M.
By (4.27) and (4.28),
the equality v=W−1(W(v)) shows that
[TABLE]
for all v∈A and η∈M, where
[v∘ρ1]s2(η)=[v(ρ1(η))]s2.
For v=1, the above equalities show that 1=c−1[c1]s3,
and hence v=[v∘ρ1∘ρ−1]s2s3 for all v∈A.
Substituting v=id into this equality to obtain
id=[id∘ρ1∘ρ−1]s2s3 on M.
Since ρj(D)⊂D for j=±1, we obtain
z=[ρ1(ρ−1(z))]s2s3 for all z∈D.
This shows that D⊂ρ1(D), and therefore ρ1(D)=D.
Hence ρ1∣D:D→D is a homeomorphism.
For each z∈D,
c1[ρ1(z)]s2=c1[id(ρ1(z))]s2=h1(z)=h1(z)
by (4.27) with W(id)=h1, and thus
[ρ1∣D]s2=c1h1 is analytic on D.
Since ρ1∣D:D→D is a homeomorphism,
there exist λ∈T and b∈D such that
Let f∈S∞. Equality (4.24), combined with (4.23) and (4.27), shows that
[TABLE]
for every η∈M. In particular, since ρ1(D)=D,
[TABLE]
Equality (4.25), applied to T0(f) instead of f, shows that
Ia(T0(f)′)=T0(f)−T0(f)(a)1 on D, that is,
[TABLE]
for all z∈D.
Recall that T0(f)(a)=c0[f(a)]s0 by (4.21), and that
[ρ1(z)]s2=λ(z−b)/(1−bˉz) for z∈D by (4.29).
By the definition of Ia with T0(f)′=c1[f′∘ρ1]s2, we get
[TABLE]
for all f∈S∞ and z∈D.
Since T0=T−T(0) by (2.8), we obtain the forms displayed in Theorem 2.
Conversely, if T is one of the above forms, then we can check that it is a surjective
isometry on S∞. This completes the proof.
∎
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Acknowledgement**.**
The authors of the paper are deeply grateful to the referees for their valuable comments
and suggestions that significantly improve the former manuscript.
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