288 CHAPTER 10. THE ABSTRACT LEBESGUE INTEGRAL

Corollary 10.7.7 f ∈ L1(Ω) if and only if there exists a sequence of complex simplefunctions, {sn} such that

sn (ω)→ f (ω) for all ω ∈Ω

limm,n→∞

∫(|sn− sm|)dµ = 0 (10.7)

When f ∈ L1 (Ω) , ∫f dµ ≡ lim

n→∞

∫sn. (10.8)

Proof: From the above theorem, if f ∈ L1 there exists a sequence of simple functions{sn} such that ∫

| f − sn|dµ < 1/n, sn (ω)→ f (ω) for all ω

Then∫|sn− sm|dµ ≤

∫|sn− f |dµ +

∫| f − sm|dµ ≤ 1

n +1m .

Next suppose the existence of the approximating sequence of simple functions. Thenf is measurable because its real and imaginary parts are the limit of measurable functions.By Fatou’s lemma,

∫| f |dµ ≤ liminfn→∞

∫|sn|dµ < ∞ because |

∫|sn|dµ−

∫|sm|dµ| ≤∫

|sn− sm|dµ which is given to converge to 0. Thus {∫|sn|dµ} is a Cauchy sequence and

is therefore, bounded.In case f ∈ L1 (Ω) , letting {sn} be the approximating sequence, Fatou’s lemma implies∣∣∣∣∫ f dµ−

∫sndµ

∣∣∣∣≤ ∫ | f − sn|dµ ≤ lim infm→∞

∫|sm− sn|dµ < ε

provided n is large enough. Hence 10.8 follows. ■This is a good time to observe the following fundamental observation which follows

from a repeat of the above arguments.

Theorem 10.7.8 Suppose Λ( f ) ∈ [0,∞] for all nonnegative measurable functionsand suppose that for a,b≥ 0 and f ,g nonnegative measurable functions,

Λ(a f +bg) = aΛ( f )+bΛ(g) .

In other words, Λ wants to be linear. Then Λ has a unique linear extension to the set ofmeasurable functions { f measurable : Λ(| f |)< ∞} , this set being a vector space.

10.8 The Dominated Convergence TheoremOne of the major theorems in this theory is the dominated convergence theorem. Beforepresenting it, here is a technical lemma about limsup and liminf which is really prettyobvious from the definition.

Lemma 10.8.1 Let {an} be a sequence in [−∞,∞] . Then limn→∞ an exists if and only ifliminfn→∞ an = limsupn→∞ an and in this case, the limit equals the common value of thesetwo numbers.

Proof: Suppose first limn→∞ an = a ∈ R. Letting ε > 0 be given, an ∈ (a− ε,a+ ε)for all n large enough, say n ≥ N. Therefore, both inf{ak : k ≥ n} and sup{ak : k ≥ n} arecontained in [a− ε,a+ ε] whenever n ≥ N. It follows limsupn→∞ an and liminfn→∞ an are

288 CHAPTER 10. THE ABSTRACT LEBESGUE INTEGRALCorollary 10.7.7 f € L'(Q) if and only if there exists a sequence of complex simplefunctions, {s,} such thatSn(@) > f(@) forall@ EQ: . 10.7limp neo J (|Sn — Sm|) dp = 0 (10.7)When f € L'(Q),| fau= lim | Sy. (10.8). noo |Proof: From the above theorem, if f € L! there exists a sequence of simple functions{s,} such that[\fo old <1/n, s,(@) > f(@) for all @Then J |Sn—Sm|du < f|sn—fldu+ f\f—sm|du < ataNext suppose the existence of the approximating sequence of simple functions. Thenf is measurable because its real and imaginary parts are the limit of measurable functions.By Fatou’s lemma, f{|f|du < liminf,-,.. f |s,|du < ce because | |s,|du — f |sn|db| <JS |S —5m|dp which is given to converge to 0. Thus {f |s,|du} is a Cauchy sequence andis therefore, bounded.Incase f € L! (Q), letting {s,} be the approximating sequence, Fatou’s lemma implies[san [san < [\f-slau < tim inf [im-snldu <eprovided n is large enough. Hence 10.8 follows. MfThis is a good time to observe the following fundamental observation which followsfrom a repeat of the above arguments.Theorem 10.7.8 Suppose A(f) € [0, °°] for all nonnegative measurable functionsand suppose that for a,b > 0 and f,g nonnegative measurable functions,A(af +bg) =aA(f)+bA(g).In other words, A wants to be linear. Then A has a unique linear extension to the set ofmeasurable functions {f measurable : A(|f|) < °°}, this set being a vector space.10.8 The Dominated Convergence TheoremOne of the major theorems in this theory is the dominated convergence theorem. Beforepresenting it, here is a technical lemma about limsup and liminf which is really prettyobvious from the definition.Lemma 10.8.1 Let {a,} be a sequence in [—-, 09]. Then limy 0 dn exists if and only iflim inf, +c. @n = limsup,_,..4n and in this case, the limit equals the common value of thesetwo numbers.Proof: Suppose first lim;_,.0d, =a € R. Letting € > 0 be given, a, € (a—€,a+€)for all n large enough, say n > N. Therefore, both inf {a, : k >} and sup {a, : k > n} arecontained in [a — €,a+€] whenever n > N. It follows limsup,,_,.. dy and liminf,_,..d» are