com pop 0905 slides a
TRANSCRIPT
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Composition Operators on
Spaces of Analytic Functions
Carl C. Cowen
IUPUI
(Indiana University Purdue University Indianapolis)
Spring School of Functional Analysis, Rabat, 19 May 2009
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Functional analysis began a little more than 100 years ago
Questions had to do with interpreting differential operators
as linear transformations on vector spaces of functions
Sets of functions needed structure connected to the convergence
implicit in the limit processes of the operators
Concrete functional analysis developed with results on spaces
of integrable functions, with special classes of differential operators,
and sometimes used better behaved inverses of differential operators
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The abstraction of these ideas led to:
Banach and Hilbert spaces
Bounded operators, unbounded closed operators, compact operators
Spectral theory as a generalization of Jordan form and diagonalizability
Multiplication operators as an extension of diagonalization of matrices
Concrete examples and development of theory interact:
Shift operators as an examples of asymmetric behavior possible
in operators on infinite dimensional spaces
Studying composition operators can be seen as extension of this process
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The classical Banach spaces are spaces of functions on a set X: if is map
ofX onto itself, we can imagine a composition operator with symbol ,
Cf = f
for f in the Banach space.
This operator is formally linear:
(af + bg) = af + bg
But other properties, like Is f in the space? clearly depend on the
map and the Banach space of functions.
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Several classical operators are composition operators. For example, we may
regard p(N) as the space of functions ofN into C that are pth power
integrable with respect to counting measure by thinking x in p as the
function x(k) = xk. If : N N is given by (k) = k + 1, then
(Cx)(k) = x((k)) = x(k + 1) = xk+1, that is,
C : (x1, x2, x3, x4, ) (x2, x3, x4, x5, )
so C is the backward shift.
In fact, backward shifts of all multiplicities can be represented as
composition operators.
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Moreover, composition operators often come up in studying other operators.
For example, if we think of the operator of multiplication by z2,
(Mz2f)(z) = z2f(z)
it is easy to see that Mz2 commutes with multiplication by any bounded
function. Also, Cz commutes with Mz2:
(Mz2Czf)(z) = Mz2f(z) = z2f(z)
and
(CzMz2f)(z) = Cz(z2f(z)) = (z)2f(z) = z2f(z)
In fact, in some contexts, the set of operators that commute with Mz2
is the algebra generated by the multiplication operators and the
composition operator Cz.
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Also, Forelli showed that all isometries ofHp(D), 1 < p < , p = 2, are
weighted composition operators.
In these lectures, we will not consider absolutely arbitrary compositionoperators; a more interesting theory can be developed by restricting our
attention to more specific cases.
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Definition
Banach space of functions on set X is called a functional Banach space if
1. vector operations are the pointwise operations
2. f(x) = g(x) for all x in X implies f = g in the space
3. f(x) = f(y) for all f in the space implies x = y in X
4. x f(x) is a bounded linear functional for each x in X
We denote the linear functional in 4. by Kx, that is, for all f and x,
Kx(f) = f(x)
and if the space is a Hilbert space, Kx is the function in the space with
f, Kx = f(x)
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Examples
(1) p(N) is a functional Banach space, as above
(2) C([0, 1]) is a functional Banach space
(3) Lp([0, 1]) is not a functional Banach space because
f f(1/2)
is not a bounded linear functional on Lp([0, 1])
We will consider functional Banach spaces whose functions are analytic on
the underlying set X;
this what we mean by Banach space of analytic functions
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Examples (contd) Some Hilbert spaces of analytic functions:
(4) Hardy Hilbert space: X = D = {z C : |z| < 1}
H2(D) = {f analytic in D : f(z) =
n=0
anzn with f2H2 =
|an|
2 < }
where for f and g in H2(D), we have f, g =
anbn
(5) Bergman Hilbert space: X = D
A2(D) = {f analytic in D : f2A2 =
D
|f()|2dA()
< }
where for f and g in A2(D), we have f, g =
f()g() dA()/
(6) Dirichlet space: X = D
D = {f analytic in D : f2D = f2H2 +
D
|f()|2dA()
< }
(7) generalizations where X = BN
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IfH is a Hilbert space of complex-valued analytic functions on the domain
in C or CN and is an analytic map of into itself,
the composition operator C on H is the operator given by
(Cf) (z) = f((z)) for f in H
At least formally, this defines C as a linear transformation.
In this context, the study of composition operators was initiated about 40
years ago by Nordgren, Schwartz, Rosenthal, Caughran, Kamowitz, and
others.
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IfH is a Hilbert space of complex-valued analytic functions on the domain
in C or CN and is an analytic map of into itself,
the composition operator C on H is the operator given by
(Cf) (z) = f((z)) for f in H
At least formally, this defines C as a linear transformation.
Goal:
relate the properties of as a function with properties ofC as an operator.
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Today, well mostly consider the Hardy Hilbert space, H2
H2 = {f =
n=0
anzn :
n=0
|an|2 < }
which is also described as
H2 = {f analytic in D : sup0
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For H2, the Littlewood subordination theorem plus some easy calculations
for changes of variables induced by automorphisms of the disk imply that
C is bounded for all functions that are analytic and map D into itself
and the argument yields the following estimate of the norm for composition
operators on H2:
1
1 |(0)|2
12
C
1 + |(0)|
1 |(0)|
12
This is the sort of result we seek, connecting the properties of the operator
C with the analytic and geometric properties of .
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When an operator theorist studies an operator for the first time, questions
are asked about the boundedness and compactness of the operator,
about norms,
spectra,
and adjoints.
While the whole story is not known, much progress has been made
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When an operator theorist studies an operator for the first time, questions
are asked about the boundedness and compactness of the operator,
about norms,
spectra,
and adjoints.
While the whole story is not known, much progress has been made
and we expect the answers to be given in terms of analytic and geometric
properties of.
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Very often, calculations with kernel functions give ways to connect the
analytic and geometric properties of with the operator properties ofC.
For a point in the disk D, the kernel function K is the function in
H2(D) such that for all f in H2(D), we have
f, K = f()
f and K are in H2, so f(z) =
anz
n and K(z) =
bnzn
for some coefficients. Thus, for each f in H2,
an
n
= f() = f, K =
anbn
The only way this can be true is for bn = n = n and
K(z) =
nzn =
1
1 z
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For a point in the disk D, because the kernel function K is a function in
H2
(D
), we have
K2 = K, K = K() =
1
1 =
1
1 ||2
These ideas show that H2(D) is functional Hilbert space and that
K = (1 ||2
)1/2
For each f in H2 and in the disk,
f, C K = Cf, K = f , K = f(()) = f, K()
Since this is true for every f, we see C (K) = K()
Further exploitation of this line of thought shows that C is invertible if and
only if is an automorphism of the disk and in this case, C1 = C1
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In addition to asking When is C bounded? operator theorists would
want to know When is C compact?
Because
analytic functions take their maxima at the boundary
compact operators should take most vectors to much smaller vectors
expect C compact implies (D) is far from the boundary in some sense.
Ifm({ei : |(ei)| = 1}) > 0, then C is not compact.
If < 1, then C is compact.
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In H2 and similar spaces, as || 1, then 1KK 0 weakly.
C is compact if and only ifC is compact, and in this case, we must have
C
1
KK
=K()
K=
1 ||2
1 |()|2
is going to zero.
Now if non-tangentially with || = 1 and the angular derivative ()
exists, then the Julia-Caratheodory Theorem shows that 1||2
1|()|2 1()
In particular, C compact implies no angular derivative of is finite.
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Theorem (1987, J.H. Shapiro)
Suppose is an analytic map ofD into itself. For C acting on H2(D),
C2e = limsup
|w|1
N(w)
log |w|
where N is the Nevanlinna counting function.
Corollary
C is compact on H2(D) if and only if lim sup
|w|1
N(w)
log |w|= 0
In some spaces larger than the Hardy Hilbert space, like the Bergman space,
C is compact if and only if has no finite angular derivatives
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Caughran and Schwartz (1975) showed that if C is compact,
then has a fixed point in D
and found spectrum ofC in terms of data at the fixed point.
This was the first of many results that show how the behavior ofC
depends on the fixed points of . Digress to talk about fixed points.
If is a continuous map ofD into D, then must have a fixed point in D.
Only assume is analytic on D, open disk!
Definition
Suppose is an analytic map ofD into itself.
If |b| < 1, we say b is a fixed point of if(b) = b.
If |b| = 1, we say b is a fixed point of if limr1
(rb) = b.
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Julia-Caratheordory Theorem implies
Ifb is a fixed point of with |b| = 1, then limr1 (rb) exists
(call it (b)) and 0 < (b) .
Denjoy-Wolff Theorem (1926)
If is an analytic map ofD into itself, not the identity map,
there is a unique fixed point, a, of in D such that |(a)| 1.
For not an elliptic automorphism ofD, for each z in D, the sequence
(z), 2(z) = ((z)), 3(z) = (2(z)), 4(z) = (3(z)),
converges to a and the convergence is uniform on compact subsets ofD.
This distinguished fixed point will be called the Denjoy-Wolff point of .
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The Schwarz-Pick Lemma implies has at most one fixed point in D
and if has a fixed point in D, it must be the Denjoy-Wolff point.
Examples
(1) (z) = (z+ 1/2)/(1 + z/2) is an automorphism ofD fixing 1 and 1.
The Denjoy-Wolff point is a = 1 because (1) = 1/3 (and (1) = 3)
(2) (z) = z/(2 z2) maps D into itself and fixes 0, 1, and 1.
The Denjoy-Wolff point is a = 0 because (0) = 1/2 (and (1) = 3)
(3) (z) = (2z3 + 1)/(2 + z3) is an inner function fixing fixing 1 and 1
with Denjoy-Wolff point a = 1 because
(1) = 1 (and
(1) = 9)
(4) Inner function (z) = exp(z+ 1)/(z 1) has a fixed point in D,
Denjoy-Wolff point a .21365, and infinitely many fixed points on D
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Denjoy-Wolff Thm suggests looking for a model for iteration of maps ofD
Five different types of maps ofD into itself from the perspective of iteration,
classified by the behavior of the map near the Denjoy-Wolff point, a
In one of these types, (a) = 0, (e.g., (z) = (z2 + z3)/2 with a = 0),
the model for iteration not yet useful for studying composition operators
In the other four types, when (a) = 0, the map can be intertwined with
a linear fractional map and classified by the possible type of intertwining:
intertwines and in the equality =
We want to do this with linear fractional and univalent near a, so that
is, locally, a change of variables. Using the notion of fundamental set, this
linear fractional model becomes essentially unique [Cowen, 1981]
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A linear fractional model in which maps D into itself with a = 1 and
(1) =1
2, maps D into the right half plane, and (w) =
1
2w
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Linear Fractional Models:
maps D into itself with (a) = 0 ( not an elliptic automorphism)
is a linear fractional automorphism of onto itself
is a map ofD into with =
I. (plane dilation) |a| < 1, = C, (a) = 0, (w) = (a)w
II. (half-plane dilation) |a| = 1 with (a) < 1, = {w : Re w > 0},
(a) = 0, (w) = (a)w
III. (plane translation) |a| = 1 with (a) = 1, = C, (w) = w + 1
IV. (half-plane translation) |a| = 1 with (a) = 1, = {w : Im w > 0},
(or = {w : Im w < 0}), (w) = w + 1
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Linear Fractional Models:
maps D into itself with (a) = 0 ( not an elliptic automorphism)
is a linear fractional automorphism of onto itself
is a map ofD into with =
I. (plane dilation) |a| < 1, = C, (a) = 0, (w) = (a)w
II. (half-plane dilation) |a| = 1 with (a) < 1, = {w : Re w > 0},
(a) = 0, (w) = (a)w
III. (plane translation) |a| = 1 with (a) = 1, = C, (w) = w + 1
{n(0)} NOT an interpolating sequence
IV. (half-plane translation) |a| = 1 with (a) = 1, = {w : Im w > 0},
(or = {w : Im w < 0}), (w) = w + 1
{n(0)} IS an interpolating sequence
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Theorem (Koenigs, 1884)
If is analytic map ofD into itself, (0) = 0, and 0 < |(0)| < 1, then
there is a unique map with (0) = 0, (0) = 1, and = (0)
Moreover, iff is analytic (not the zero map) and is a number so that
f = f, then = (0)n for some n = 0, 1, 2, 3, and f = c n
for some c
This is the plane dilation case (I.) with a = 0 and (w) = (0)w
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Theorem (Koenigs, 1884)
If is analytic map ofD into itself, (0) = 0, and 0 < |(0)| < 1, then
there is a unique map with (0) = 0, (0) = 1, and = (0)
Moreover, iff is analytic (not the zero map) and is a number so that
f = f, then = (0)n for some n = 0, 1, 2, 3, and f = c n
for some c
Proof:
Starting with the second part, suppose f satisfies f((z)) = f(z) for some
and all z in D. Consider the Taylor series for f, f(z) = akzk with firstnon-zero coefficient an, that is, an = 0 and ak = 0 for k an integer, k < n.
Since any non-zero multiple of f will work just as well, we suppose an = 1.
Compare the Taylor series for f and f
get f unique and = (0)n
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Theorem (Koenigs, 1884)
If is analytic map ofD into itself, (0) = 0, and 0 < |(0)| < 1, then
there is a unique map with (0) = 0,
(0) = 1, and =
(0)
Moreover, iff is analytic (not the zero map) and is a number so that
f = f, then = (0)n for some n = 0, 1, 2, 3, and f = c n
for some c
Proof:
For the first part, define by (z) = limk
k(z)
(0)kwhere 2(z) = ((z)),
3(z) = (2(z)), etc. Establish convergence; observe satisfies functional
equation, (0) = 0, and (0) = 1.
To finish, since the solution f from the earlier part was unique and n
also satisfies the conditions, f = n.