10.9. SOME IMPORTANT GENERAL THEORY 291

Proof: First consider a measurable set E where µ (E) < ∞. Let K ⊆ E ⊆ V whereµ (V \K)< ε. Now let K ≺ h≺V. Then∫

|h−XE |dµ ≤∫

XV\Kdµ = µ (V \K)< ε. (10.9)

By Corollary 10.7.7, there is a sequence of simple functions converging pointwise to fsuch that for m,n > N, ε

2 >∫(|sn− sm|)dµ. Then let n→ ∞ and apply the dominated

convergence theorem to get∫| f − sm|dµ ≤ ε

2 . However, from 10.9, there is g in Cc (Ω)such that

∫|sm−g|dµ < ε

2 and so∫| f −g|dµ ≤

∫| f − sm|dµ +

∫|sm−g|dµ < ε. ■

10.9 Some Important General Theory10.9.1 Eggoroff’s TheoremYou might show that a sequence of measurable real or complex valued functions convergeson a measurable set. This is Proposition 9.1.8 above. Eggoroff’s theorem says that if theset of points where a sequence of measurable functions converges is all but a set of measurezero, then the sequence almost converges uniformly in a certain sense.

Theorem 10.9.1 (Egoroff) Let (Ω,F ,µ) be a finite measure space, µ (Ω)< ∞ andlet fn, f be complex valued functions such that Re fn, Im fn are all measurable and

limn→∞

fn(ω) = f (ω)

for all ω /∈ E where µ(E) = 0. Then for every ε > 0, there exists a set,

F ⊇ E, µ(F)< ε,

such that fn converges uniformly to f on FC.

Proof: First suppose E = /0 so that convergence is pointwise everywhere. It followsthen that Re f and Im f are pointwise limits of measurable functions and are thereforemeasurable. Let Ekm = {ω ∈Ω : | fn(ω)− f (ω)| ≥ 1/m for some n > k}. Note that

| fn (ω)− f (ω)|=√

(Re fn (ω)−Re f (ω))2 +(Im fn (ω)− Im f (ω))2

and so,[| fn− f | ≥ 1

m

]is measurable. Hence Ekm is measurable because

Ekm = ∪∞n=k+1

[| fn− f | ≥ 1

m

].

For fixed m,∩∞k=1Ekm = /0 because fn converges to f . Therefore, if ω ∈ Ω there exists

k such that if n > k, | fn (ω)− f (ω)| < 1m which means ω /∈ Ekm. Note also that Ekm ⊇

E(k+1)m. Since µ(E1m)< ∞, Theorem 9.2.4 on Page 242 implies

0 = µ(∩∞k=1Ekm) = lim

k→∞µ(Ekm).

Let k(m) be chosen such that µ(Ek(m)m) < ε2−m and let F = ∪∞m=1Ek(m)m. Then µ(F) <

ε because µ (F)≤ ∑∞m=1 µ

(Ek(m)m

)< ∑

∞m=1 ε2−m = ε.

10.9. SOME IMPORTANT GENERAL THEORY 291Proof: First consider a measurable set E where ps (E) < 0. Let K C E CV whereL(V \K) <e&. Now let K <h < V. Then[n- Feld s [ %edu=wV\K) <e. (10.9)By Corollary 10.7.7, there is a sequence of simple functions converging pointwise to fsuch that for m,n >N, 5 > f(|S2—Sm|)du. Then let n — oo and apply the dominatedconvergence theorem to get [| f —sm|du < 5. However, from 10.9, there is g in C, (Q)such that f|sm—g|du < 5 andso f|f—g|du< f\|f—sm|dutf\smn—g|du<e.@10.9 Some Important General Theory10.9.1 Eggoroff’s TheoremYou might show that a sequence of measurable real or complex valued functions convergeson a measurable set. This is Proposition 9.1.8 above. Eggoroff’s theorem says that if theset of points where a sequence of measurable functions converges is all but a set of measurezero, then the sequence almost converges uniformly in a certain sense.Theorem 10.9.1 (Egoroff) Let (Q, F, UW) be a finite measure space, WU (Q) < andlet fn, f be complex valued functions such that Re f,,1m f, are all measurable andlim fn(@) = f(@)n-eofor all @ ¢ E where U(E) =0. Then for every € > 0, there exists a set,FDE,u(F)<e,such that fy converges uniformly to f on F°.Proof: First suppose E = @ so that convergence is pointwise everywhere. It followsthen that Re f and Imf are pointwise limits of measurable functions and are thereforemeasurable. Let Ex, = {@ € Q: |f,(@) — f(@)| > 1/m for some n > k}. Note thatlf: (©) — f (@)| = y (Re fr (@) —Re f (@))? + (Im fy (@) — Im f (@))?and so, (| fn—-f\= +] is measurable. Hence E;,, is measurable becauseoo 1Exm = Un k+1 ls —f| 2 | :For fixed m,¢_;Ekm = because f, converges to f . Therefore, if @ € Q there existsk such that if n > k, |f,(@)—f(@)| < 4 which means @ ¢ Ex. Note also that Exjn DEck+i)m: Since H(E\m) <0, Theorem 9.2.4 on Page 242 implies0 = W(Mj1 Bim) = Him W(Ekm)-Let k(m) be chosen such that L(Eg(m)m) < €2~™ and let F = U7 _ 1 Eg(m)m- Then u(F) <€ because | (F) < Yn=1 u (Ex(m)m) < Vn=! e2-"=€.