334 CHAPTER 13. REPRESENTATION THEOREMS

What follows is the Riesz representation theorem for C0(X)′.

Theorem 13.5.5 Let L ∈ (C0(X))′. Then there exists a finite Radon measure µ anda function σ ∈ L∞(X ,µ) such that for all f ∈C0 (X) ,

L( f ) =∫

Xf σdµ.

Furthermore, µ (X) = ∥L∥ , |σ |= 1 a.e. and if ν (E)≡∫

E σdµ then µ = |ν | .

Proof: From the above there exists a unique Radon measure µ such that for all f ∈Cc (X) ,Λ f =

∫X f dµ . Then for f ∈Cc (X) ,

|L f | ≤ λ (| f |) = Λ(| f |) =∫

X| f |dµ = ∥ f∥L1(µ).

Since µ is both inner and outer regular, Cc(X) is dense in L1(X ,µ). (See Theorem 9.4.2)Therefore L extends uniquely to an element of (L1(X ,µ))′, L̃. By the Riesz representationtheorem for L1 for finite measure spaces, there exists a unique σ ∈ L∞(X ,µ) such that forall f ∈ L1 (X ,µ) , L̃ f =

∫X f σdµ. In particular, for all f ∈ C0 (X) ,L f =

∫X f σdµ and it

follows from Lemma 13.5.4, µ (X) = ∥L∥.It remains to verify |σ | = 1 a.e. For any continuous f ≥ 0,Λ f ≡

∫X f dµ ≥ |L f | =

|∫

X f σdµ| . Now if E is measurable, the regularity of µ implies that there exists a sequenceof nonnegative bounded functions fn ∈Cc (X) such that fn (x)→XE (x) a.e. and in L1 (µ) .Then using the dominated convergence theorem in the above,∫

Edµ = lim

n→∞

∫X

fndµ = limn→∞

Λ( fn)≥ limn→∞|L fn|

= limn→∞

∣∣∣∣∫Xfnσdµ

∣∣∣∣= ∣∣∣∣∫Eσdµ

∣∣∣∣and so if µ (E) > 0, 1 ≥

∣∣∣ 1µ(E)

∫E σdµ

∣∣∣which shows from Theorem 13.2.8 that |σ | ≤ 1 µ

a.e. But also, from Theorem 13.2.8, if ∥ f∥∞≤ 1,

|µ|(X) = µ (X) = ∥L∥= sup∥ f∥∞≤1

∣∣∣∣∫Xf σdµ

∣∣∣∣≤ ∫X| f | |σ |dµ

≤∫

X|σ |dµ ≤

∫X

dµ = µ (X)

and so |σ | = 1 a.e. since µ (X) =∫

X |σ |dµ = µ (X) and it is known that |σ | ≤ 1. If |σ |were less than 1 on a set of positive measure, this could not hold.

It only remains to verify µ = |ν |. Recall ν (E)≡∫

E σdµ. By Theorem 13.2.8, |ν |(E) =∫E |σ |dµ =

∫E 1dµ = µ (E) and so µ = |ν | . ■

Sometimes people write∫

X f dν ≡∫

X f σd |ν | where σd |ν | is the polar decompositionof the complex measure ν . Then with this convention, the above representation is

L( f ) =∫

Xf dν , |ν |(X) = ∥L∥ .

Also note that at most one ν can represent L. If there were two of them ν i, i = 1,2, thenν1−ν2 would represent 0 and so |ν1−ν2|(X) = 0. Hence ν1 = ν2.

334 CHAPTER 13. REPRESENTATION THEOREMSWhat follows is the Riesz representation theorem for Co(X)’.Theorem 13.5.5 Let L € (Co(X))'. Then there exists a finite Radon measure | anda function o € L®(X,p) such that for all f € Co (X),Lf) = | fod.Furthermore, U(X) = ||L||, |o| = 1 ae. and if v(E) = f, ody then p = |v|.Proof: From the above there exists a unique Radon measure such that for all f €C.(X) Af = fy fd. Then for f € C, (xX),ILFL SA (FI) = ACAD = I fldu = [IF lle):Since 1 is both inner and outer regular, C.(X) is dense in L'(X, 1). (See Theorem 9.4.2)Therefore L extends uniquely to an element of (L'(X,w))’, L. By the Riesz representationtheorem for L! for finite measure spaces, there exists a unique o € L™ (X,) such that forall f € L'(X,u),Lf = Jy fodu. In particular, for all f € Co(X),Lf = fy fod and itfollows from Lemma 13.5.4, p(X) = ||Z]].It remains to verify |o| = 1 a.e. For any continuous f > 0,Af = fy fd > |Lf| =| fy fodu|. Now if E is measurable, the regularity of ys implies that there exists a sequenceof nonnegative bounded functions f, € C. (X) such that fy (x) + 2x (x) a.e. and in L! (w).Then using the dominated convergence theorem in the above,[aw = lim / f,du = lim A(f,) > lim |Lf,|JE neo JX neo n—yoo= lm [ oan = J oaneo | JX Eand so if u(E) > 0,1> Fone odyt|which shows from Theorem 13.2.8 that |o| <1 ua.e. But also, from Theorem 13.2.8, if || f||,, <1,lx) = we) =|U|= sup |[ foun < [ lloiawWIflloo<1 1X x[ie\dus [ du= w(x)IAand so |o| = 1 ae. since u(X) = fy |o|du = u(X) and it is known that |o| < 1. If |o|were less than | on a set of positive measure, this could not hold.It only remains to verify 1. =|v|. Recall v(E) = J, odu. By Theorem 13.2.8, |v|(£) =Jp |oldu = fe ldu = w(E) and sop =|v|.Sometimes people write [, fdv = fy fod|v| where od |v| is the polar decompositionof the complex measure v. Then with this convention, the above representation isL(f) = | fav, [v\(X) = IeAlso note that at most one v can represent L. If there were two of them v;,i = 1,2, thenV1 — V2 would represent 0 and so |v; — V2| (X) = 0. Hence v; = vo.