214 CHAPTER 9. THE LEBESGUE INTEGRAL

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 8.2.4 on Page 183 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.

Now let η > 0 be given and pick m0 such that m−10 < η . If ω ∈FC, then ω ∈

∞⋂m=1

ECk(m)m.

Hence ω ∈ ECk(m0)m0

so | fn(ω)− f (ω)| < 1/m0 < η for all n > k(m0). This holds for all

ω ∈ FCand so fn converges uniformly to f on FC.Now if E ̸= /0, consider {XEC fn}∞

n=1. Each XEC fn has real and imaginary parts mea-surable and the sequence converges pointwise to XE f everywhere. Therefore, from thefirst part, there exists a set of measure less than ε,F such that on FC,{XEC fn} convergesuniformly to XEC f . Therefore, on (E ∪F)C , { fn} converges uniformly to f . This provesthe theorem. ■

9.9.2 The Vitali Convergence TheoremThe Vitali convergence theorem is a convergence theorem which in the case of a finitemeasure space is superior to the dominated convergence theorem.

Definition 9.9.2 Let (Ω,F ,µ) be a measure space and let S ⊆ L1(Ω). S is uni-formly integrable if for every ε > 0 there exists δ > 0 such that for all f ∈S

|∫

Ef dµ|< ε whenever µ(E)< δ .

Lemma 9.9.3 If S is uniformly integrable, then |S| ≡ {| f | : f ∈S} is uniformly inte-grable. Also S is uniformly integrable if S is finite.

Proof: Let ε > 0 be given and suppose S is uniformly integrable. First suppose thefunctions are real valued. Let δ be such that if µ (E)< δ , then |

∫E f dµ|< ε

2 for all f ∈S.Let µ (E)< δ . Then if f ∈S,∫

E| f |dµ ≤

∫E∩[ f≤0]

(− f )dµ +∫

E∩[ f>0]f dµ =

∣∣∣∣∫E∩[ f≤0]f dµ

∣∣∣∣+ ∣∣∣∣∫E∩[ f>0]f dµ

∣∣∣∣<

ε

2+

ε

2= ε.

214 CHAPTER 9. THE LEBESGUE INTEGRALProof: 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 Ex, = {@ € Q: |fn(@) — f(@)| => 1/m for some n > k}. Note thatlf (@) — f (@)| = y (Re fy (@) —Re f (@))? + (Im fy (@) — Im f (@))?and so, (| fa-f\= {| is measurable. Hence E;,, is measurable becauseoo 1Exm = Un=k+1 E —f| 2 | :For fixed m,N¢_;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 2Eck+i)m- Since H(E\m) <9, Theorem 8.2.4 on Page 183 implies0= HN Ekm) = jim (Ex).Let k(m) be chosen such that [(Ex(m)m) < €2~™ and let F = UP _)E(m)m- Then U(F) <€ because Ul (F) < Py M (Ex(mym) < Lai €2-” = €.Now let 7 > 0 be given and pick mo such that my! <n.If@eF®,then@e 1) EX m)m"m=1Hence @ € EXonp)mo so | fn(@) — f(@)| < 1/mo < 7 for all n > k(mo). This holds for all@ € F©and so fy, converges uniformly to f on FC.Now if E £0, consider { 2c fn}; Each 2c fn has real and imaginary parts mea-surable and the sequence converges pointwise to 2 f everywhere. Therefore, from thefirst part, there exists a set of measure less than €,F such that on F©, {.2; nc fn} convergesuniformly to 2c f. Therefore, on (E UF ), {fn} converges uniformly to f. This provesthe theorem. ll9.9.2 The Vitali Convergence TheoremThe Vitali convergence theorem is a convergence theorem which in the case of a finitemeasure space is superior to the dominated convergence theorem.Definition 9.9.2 Let (Q,.%,) be a measure space and let 6 C L'(Q). © is uni-formly integrable if for every € > 0 there exists 6 > 0 such that for all f € G|| fan < € whenever U(E) < 6.ELemma 9.9.3 If G is uniformly integrable, then |G| = {\f|: f € G} is uniformly inte-grable. Also © is uniformly integrable if G is finite.Proof: Let € > 0 be given and suppose G is uniformly integrable. First suppose thefunctions are real valued. Let 6 be such that if u (E) < 6, then | f; fdu| < § forall f eG.Let uw (E) < 6. Then if f eG,firiae < fo Adw+ fo fau=E EN[f<0| En[f>0]e2| ran|+] fay|En|f<0] En|f>0]<+= =€.ba2