23.5. THE DUAL SPACE OF L∞ (Ω) 633

23.5 The Dual Space of L∞ (Ω)

What about the dual space of L∞ (Ω)? This will involve the following Lemma. Also recallthe notion of total variation defined in Definition 23.2.2.

Lemma 23.5.1 Let (Ω,F ) be a measure space. Denote by BV (Ω) the space of finitelyadditive complex measures ν such that |ν |(Ω)< ∞. This means that if {Ei}n

i=1 is disjoint,then ν

(∪n

i=1Ei)= ∑

ni=1 ν (Ei) for any n ∈ N. Then defining ∥ν∥ ≡ |ν |(Ω) , it follows that

BV (Ω) is a Banach space.

Proof: It is obvious that BV (Ω) is a vector space with the obvious conventions involv-ing scalar multiplication. Why is ∥·∥ a norm? All the axioms are obvious except for thetriangle inequality. However, this is not too hard either.

∥µ +ν∥ ≡ |µ +ν |(Ω) = supπ(Ω)

{∑

A∈π(Ω)

|µ (A)+ν (A)|}

≤ supπ(Ω)

{∑

A∈π(Ω)

|µ (A)|}+ sup

π(Ω)

{∑

A∈π(Ω)

|ν (A)|}≡ |µ|(Ω)+ |ν |(Ω) = ∥ν∥+∥µ∥ .

Suppose now that {νn} is a Cauchy sequence. For each E ∈ F , |νn (E)−νm (E)| ≤∥νn−νm∥ and so the sequence of complex numbers νn (E) converges. That to which itconverges is called ν (E) . Then it is obvious that ν (E) is finitely additive. Why is |ν | finite?Since ∥·∥ is a norm, it follows that there exists a constant C such that for all n, |νn|(Ω)<C.Let π (Ω) be any partition. Then ∑A∈π(Ω) |ν (A)| = limn→∞ ∑A∈π(Ω) |νn (A)| ≤ C. Henceν ∈ BV (Ω). Let ε > 0 be given and let N be such that if n,m > N, then ∥νn−νm∥< ε/2.Pick any such n. Then choose π (Ω) such that

|ν−νn|(Ω)− ε/2 < ∑A∈π(Ω)

|ν (A)−νn (A)|

= limm→∞

∑A∈π(Ω)

|νm (A)−νn (A)|< lim infm→∞|νn−νm|(Ω)≤ ε/2

It follows that limn→∞ ∥ν−νn∥= 0. ■

Corollary 23.5.2 Suppose (Ω,F ) is a measure space as above and suppose µ is ameasure defined on F . Denote by BV (Ω; µ) those finitely additive measures of BV (Ω) ν

such that ν ≪ µ in the usual sense that if µ (E) = 0, then ν (E) = 0. Then BV (Ω; µ) is aclosed subspace of BV (Ω).

Proof: It is clear that it is a subspace. Is it closed? Suppose νn→ ν and each νn is inBV (Ω; µ) . Then if µ (E) = 0, it follows that νn (E) = 0 and so ν (E) = 0 also, being thelimit of 0. ■

Definition 23.5.3 For s a simple function s(ω)=∑nk=1 ckXEk (ω) and ν ∈BV (Ω) ,

define an “integral” with respect to ν as follows.∫

sdν ≡ ∑nk=1 ckν (Ek) . For f function

which is in L∞ (Ω; µ) , define∫

f dν as follows. Applying Theorem 9.1.6, to the positiveand negative parts of real and imaginary parts of f , there exists a sequence of simplefunctions {sn} which converges uniformly to f off a set of µ measure zero. Then

∫f dν ≡

limn→∞

∫sndν

23.5. THE DUAL SPACE OF L® (Q) 63323.5 The Dual Space of L® (Q)What about the dual space of L® (Q)? This will involve the following Lemma. Also recallthe notion of total variation defined in Definition 23.2.2.Lemma 23.5.1 Let (Q,.7) be a measure space. Denote by BV (Q) the space of finitelyadditive complex measures V such that |v| (Q) < ¢°. This means that if {E;}'_, is disjoint,then v (U?_, Ei) = Li_, v (Ej) for any n € N. Then defining ||v|| = |v| (Q), it follows thatBV (Q) is a Banach space.Proof: It is obvious that BV (Q) is a vector space with the obvious conventions involv-ing scalar multiplication. Why is ||-|| a norm? All the axioms are obvious except for thetriangle inequality. However, this is not too hard either.Ie + vl] = |b + v|(Q) = wp { » way+waylmQ) (Aex(Q)< wp | »L wah we | »L mal = || (Q) +|v|(Q) = IIvil+ {lelm(Q) | Aen(Q) m(Q) | Aen(Q)Suppose now that {v,} is a Cauchy sequence. For each E € ¥, |V,(E)—Vm(E)| <||Vn —Vm|| and so the sequence of complex numbers v, (E) converges. That to which itconverges is called v (E) . Then it is obvious that v (EZ) is finitely additive. Why is |v| finite?Since |]-|| is a norm, it follows that there exists a constant C such that for all n,|V,| (Q) <C.Let 2(Q) be any partition. Then Y4eq(q) |V(A)| = lino Maen(a) |Vn (A)| < C. Hencev € BV (Q). Let € > 0 be given and let N be such that if n,m > N, then ||V; —Vml| < €/2.Pick any such n. Then choose 2 (Q) such that|v —Vn|(Q)—e/2< Y! |v(A)—vn(A)|AeEn(Q)=lim ) [Vm (A) — Vn (A)| <lim inf |Vn —Vm|(Q) < €/2mr 4 ea(Q)It follows that lim,-,.0 || V — V,|| = 0.Corollary 23.5.2 Suppose (Q,F) is a measure space as above and suppose is ameasure defined on ¥. Denote by BV (Q; 1) those finitely additive measures of BV (Q) vsuch that V < p in the usual sense that if U (E) = 0, then v(E) =0. Then BV (Q; 1) is aclosed subspace of BV (Q).Proof: It is clear that it is a subspace. Is it closed? Suppose v, — v and each Vv, is inBV (Q;). Then if u (E) = 0, it follows that v, (E) = 0 and so v(E) = 0 also, being thelimit of 0.Definition 23.5.3 For s a simple functions (@) = Lp | ce - XE, (@) and v € BV (Q),define an “integral” with respect to v as follows. { sdv = Y_, cxv (Ex). For f functionwhich is in L® (Q;), define [ fdv as follows. Applying Theorem 9.1.6, to the positiveand negative parts of real and imaginary parts of f, there exists a sequence of simplefunctions {s,} which converges uniformly to f off a set of measure zero. Then [ fdv =limy +00 f SndV