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Proof of Littlewood’s Theorem

4.3 Littlewood’s Subordination Principle

4.3.1 Proof of Littlewood’s Theorem

Littlewood’s Theorem: Supposeϕis a holomorphic self-map ofU. ThenCϕis a bounded operator onH2, and

||Cϕ|| ≤ s

1 +|ϕ(0)|

1− |ϕ(0)|

Automorphism-induced composition operators: To prove the Cϕ is bounded even when ϕ does not fix the origin, we utilize the conformal automorphisms to move points of U from where they are to where we want them. For eachp∈U , the special automorphismαp:U −→U s.t.

αp(z) = p−z

1−pz¯ , (11)

. This is the special automorphism ofU which interchanges p with origin, and is its own inverse.

Writingp=ϕ(0). Then the holomorphic functionψ=αp◦ϕtakesU into itself and fixes the origin i.e. ψ(0) = 0. By the self-inverse property ofαp we have

ϕ=αp◦ψ, and this translate the operator equationCϕ=CψCαp.

We have just seen that, Cψ is bounded (in fact a contraction, from the Littlewood’s Subordina- tion principle), and we know that the product of two bounded operator is always bounded. So to proof Cϕ is a bounded operator, we have to show Cαp. Thus, the boundedness ofCψ on H2 will follow from the following lemma.

Lemma 4.3.2. For eachp∈U the operator Cαp is bounded on H2. Moreover

||Cαp|| ≤ s

1 +|p|

1− |p|.

Proof: Suppose that f is a holomorphic in a neighbourhood of the closed unit disc, say in RU for someR >1.Then the limit in formula (4) can be passed inside the integral sign, with the result that,

||f||2= 1 2π

Z π

−π

|f(e)|2

Then

||f◦αp||2= 1 2π

Z π

−π

|f(αp(e))|2

= 1

2π Z π

−π

|f(eit)|2p0(eit)|dt

= 1

2π Z π

−π

|f(eit)|2| 1− |p|2

|1−pe¯ it|2dt [∵ αp(eit) = p−eit 1−pe¯ it]

≤ 1− |p|2| (1− |p|)2 ( 1

2π Z π

−π

|f(eit)|2|dt)

= 1 +|p|

1− |p|||f||2

=⇒ the desired inequality holds for all functions holomorphic in RU; in particular it holds for polynomial. It remains only to transfer the results to the rest of H2. And to show this we have to repeat the argument which used to finish the proof of Littlewood’s Subordination principle.

(Hints: we have take the N-th partial sum of the Taylor series of f and that N-th partial sum will treat as polynomial.)

Note 4.3.3. At this point we have assembled everything we need to show that composition operators act boundedly onH2.

Littlewood’s Theorem: Suppose ϕ is a holomorphic self-map of U. Then Cϕ is a bounded operator onH2, and

||Cϕ|| ≤ s

1 +|ϕ(0)|

1− |ϕ(0)|.

Proof: From Automorphism-induced composition operators, we haveCϕ=CψCαp, whereϕ(0) =p andψ(0) = 0.

Now from the last lemma and Littlewood’s Subordination Principle show that, both operators of the right-hand side are bounded onH2.

Hence,Cϕ is the product of bounded operator onH2, and thereforeCϕis itself bounded.

∵||Cαp|| ≤q

1+|p|

1−|p| andCψ is contraction. So we can write,

||Cϕ|| ≤ ||Cψ|||Cαp|| ≤ s

1 +|ϕ(0)|

1− |ϕ(0)|

Chapter 5

Compactness: Introduction

Having established that every composition operator is bounded onH2, now we turn to the most natural follow-up question:

W hich composition operators are compact ?

The property ”boundedness” for composition operators means that each one takes bounded subset ofH2to bounded subsets.

The question above asks us to specify precisely how much the inducing mapφhas to compress the unit disc into itself in order to ensure that the operatorCφ compresses bounded subsets ofH2 into relatively compact ones.

5.1 Compact Operators

Definition 5.1.1. Relatively compact: A subset of a topological space is said to be relatively compact if its closure in the space is compact.

A linear operator T on a Hilbert spaceH is said to be compact if it maps every bounded set into relatively compact one. It is not necessary to check every bounded set here; since translation and multiplication by a scalar are homeomorphism ofH, it is enough to test only on the unit ball.

By Heine-Borel theorem, every linear transformation on a finite dimensional Hilbert space is compact. Similarly, on an infinite dimensional Hilbert space, every bounded operator with finite dimensional range is compact.

My first observation is that th compact operators are precisely those that can be approximated by such finite rank operators.

Actually compact operators on Hilbert space is an extension of the concept of a matrix acting on a finite-dimensional Vector Space; i.e. Compact operator are precisely the closure of finite rank operators in the topology induced by the operator norm.

Finite Rank Approximation Theorem: Suppose T is a bounded linear operator on a Hilbert spaceH. Then T is compact iff there is a sequence Fn of finite rank bounded operators such that

||T−Fn|| −→0.

Proof: Suppose first that , T is compact onH. Letenba an orthonormal basis forH and consider the projection operators

Pnf =

n

X

k=0

hf, ekiek (f ∈H) where ”<, >” denotes inner product inH.

So clearly,||Pnf|| ≤ ||f||for each n

=⇒ Pn is a contraction onH and||Pnf−f|| −→0 for eachf ∈H. LetB denote the unit ball ofH (open or closed).

We are assuming that T(B) is relatively compact in H. sine a absolutely fundamental fact about sequences of transformations on a metric space:

Pointwise Convergence + Equicontinuity =⇒ Uniform convergence on compact subsets.

We just observed that,Pn−→I (the identity map) pointwise onH.

Since, the operators Pn are all contractions, the whole family is equicontinuous on bounded ses, so applying the equicontinuity principle state above to the closure of T(B), which are assuming is compact, so we can say thatPn −→I uniformly onT(B).

i.e. PnT −→ T on B, which means that ||PnT −T|| −→ 0. Since PnT is bounded finite rank operator for each n, this establishes the desired approximation.

Conversely, suppose some sequenceFn of bounded finite rank operators converges in operator norm toT. We need to show thatT(B) is relatively compact inH.

Another result metric space theory makes short work of this proof:

A subset K of a metric space X is relatively compact iff for every≥0 there is a finite set of pointsN⊂X such that each point of K lies at most distance for N.

The set N is often called ”totally bounded.” So a set is totally bounded iff it is relatively com- pact. IfK is relatively compact, we getNby covering the closure ofK by open- balls, extracting a finite subcovering, and choosing asN the centers.

In other way , if we have N, then for any open covering of the closure of K, a finite covering subordinate to the original one, from which follows the compactness of that closure.

Returning to Hilbert space , let≥0 be given, and fix a value of n so that||Fn−T||< /2. LetN be an/2-net forFn(B). Then it is easy to check that N be an-net forT(B).

Now from the above characterization it follows that,T(B) is relatively compact.

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