10.13. RADON NIKODYM THEOREM 303

Proposition 10.13.12 This Lebesgue decomposition is unique. If f , f̂ both work inTheorem 10.13.7, then f = f̂ µ a.e. This function f ∈ L1 (Ω),

∫Ω

f dµ < ∞.

Proof: Say ν ||+ν⊥= ν̂ ||+ ν̂⊥. Then ν || (E)− ν̂ || (E) = ν⊥ (E)− ν̂⊥ (E) . If µ (E) = 0,then the left side is also 0 and so ν⊥ (E)− ν̂⊥ (E) = 0. But then for any E,

ν⊥ (E)− ν̂⊥ (E) =∫

Ehdµ (10.19)

for h a function in L1 (Ω) . This is because ν⊥− ν̂⊥ is a signed measure λ ≪ µ and Corol-lary 10.13.11. From the above, if S, Ŝ are the exceptional sets of µ measure zero,

ν⊥ (E)− ν̂⊥ (E) = ν⊥(E ∪

(S∪ Ŝ

))− ν̂⊥

(E ∪

(S∪ Ŝ

))=∫

E∪(S∪Ŝ)hdµ = 0 (10.20)

because µ(S∪ Ŝ

)= 0 and so the right side of 10.19 must be 0 after all, so ν⊥ (E) = ν̂⊥ (E).

It follows that ν || = ν̂ || also. Now in Theorem 10.13.7, if you have two f , f̂ which work,then

ν || (E) =∫

Ef dµ =

∫E

f̂ dµ = v̂|| (E) (10.21)

and so, f = f̂ a.e. because you can apply this equation to En ≡[

f − f̂ > 1/n]

and concludethat

0 =∫

En

f − f̂ dµ ≥ 1n

µ (En) = 0 (10.22)

so µ([

f − f̂ > 0])

= ∪mµ (En) = 0. Similarly µ([

f̂ − f > 0])

= 0. ■This unique decomposition of a measure ν into the sum of two measures, one absolutely

continuous with respect to µ and the other supported on a set of µ measure zero is calledthe Lebesgue decomposition.

Definition 10.13.13 A measure space (Ω,F ,µ) is σ finite if there are countablymany measurable sets {Ωn} such that µ is finite on measurable subsets of Ωn.

There is a routine corollary of the above theorem.

Corollary 10.13.14 Suppose µ,ν are both σ finite measures defined on (Ω,F ). Thena similar conclusion to the above theorem can be obtained.

ν (E) =∫

Ef dµ +ν (E ∩S) , µ (S) = 0 (10.23)

for f a nonnegative measurable function. If ν (Ω) < ∞, then f ∈ L1 (Ω). This f is uniqueup to a set of µ measure zero.

Proof: Since both µ,ν are σ finite, there are{

Ω̃k}∞

k=1 such that ν(Ω̃k),µ(Ω̃k)

are

finite. Let Ω0 = /0 and Ωk ≡ Ω̃k \(∪k−1

j=0Ω̃ j

)so that µ,ν are finite on Ωk and the Ωk

are disjoint. Let Fk be the measurable subsets of Ωk, equivalently the intersections withΩk with sets of F . Now let νk (E) ≡ ν (E ∩Ωk) , similar for µk. By Theorem 10.13.7,there exists Sk ⊆ Ωk, and fk as described there, unique up to sets of µ measure 0. Thusµk (Sk) = 0 and νk (E) =

∫E∩Ωk

fkdµk + νk (E ∩Sk) Now let f (ω) ≡ fk (ω) for ω ∈ Ωk.Thus

ν (E ∩Ωk) = ν (E ∩ (Ωk \Sk))+ν (E ∩Sk) =∫

E∩Ωk

f dµ +ν (E ∩Sk) (10.24)

Summing over all k,ν (E) = ν(E ∩SC

)+ν (E ∩S) =

∫E f dµ +ν (E ∩S) . In particular, if

ν≪ µ, then ν (E ∩S) = 0 and so ν (E) =∫

E f dµ. The last claim is obvious from 10.23. ■

10.13. RADON NIKODYM THEOREM 303Proposition 10.13.12 This Lebesgue decomposition is unique. If f, f both work inTheorem 10.13.7, then f = f wa.e. This function f € L'(Q), Jo fdu <.Proof: Say v) +Vv, =?) +0,.Then v) (E)—) (E) =v, (E)—0, (E). Ifu(E) =0,then the left side is also 0 and so v, (E) — V, (E) = 0. But then for any E,Vv. (E)—%, (E)= [rau (10.19)for h a function in L! (Q) . This is because v; — ?, is a signed measure A < pw and Corol-lary 10.13.11. From the above, if S,S are the exceptional sets of 4 measure zero,v, (E)—0, (E) =v, (EU (SUS)) — 0, (EU (SUS)) Iroyssy =0 (10.20)because pt (SU S) = 0 and so the right side of 10.19 must be 0 after all, so v, (E) = 0, (E).It follows that vj) = ¥)) also. Now in Theorem 10.13.7, if you have two f,f which work,thenv(E)= | fau= | fay = 9 (6) (10.21)and so, f = f a.e. because you can apply this equation to E, = [ f-f>1 / n| and concludethata 10= | sfdw > u(E,) =0 (10.22)so u([f—f > 0]) =Umt (En) =0. Similarly u ([f— f > 0]) =0.This unique decomposition of a measure Vv into the sum of two measures, one absolutelycontinuous with respect to w and the other supported on a set of “ measure zero is calledthe Lebesgue decomposition.Definition 10.13.13 4 measure space (Q, F, LL) is o finite if there are countablymany measurable sets {Q,} such that [ is finite on measurable subsets of Qn.There is a routine corollary of the above theorem.Corollary 10.13.14 Suppose u,v are both o finite measures defined on (Q,.F). Thena similar conclusion to the above theorem can be obtained.v(E)= | fau+v(Ens), u(S) =0 (10.23)Efor f anonnegative measurable function. If v(Q) < ~, then f € L!(Q). This f is uniqueup to a set of measure Zero.Proof: Since both u,v are o finite, there are {Qx}/, such that v (Qx) ,u (Q,) arefinite. Let Qo = @ and Q; = QO; \ (U458,) so that U,V are finite on Q, and the Q,are disjoint. Let A; be the measurable subsets of Qz, equivalently the intersections withQ; with sets of F. Now let vz (EZ) = v(ENQ,), similar for u,. By Theorem 10.13.7,there exists S$, C Q;, and f, as described there, unique up to sets of U measure 0. ThusHy (Sx) = 0 and vz (E) = Jeno, FeAl +V_(ENS,) Now let f (@) = fe(@) for @ € Ox.ThusV (EN Q«) = V(EN (Q_\ Sz) HV (ENS,) = [.. fd +v(ENSx) (10.24)Summing over all k,v (EZ) = v (ENS°) + V(ENS) = fp fdu + Vv (ENS). In particular, ifv <u, then v(EMNS) =O and so v (E) = J, fd. The last claim is obvious from 10.23. Hi