7.12. EXERCISES 181

Corollary 7.11.12 Suppose µ,ν are both σ finite measures defined on (Ω,F ). Thenthe same conclusion in the above theorem can be obtained.

ν (E) = ν(E ∩SC)+ν (E ∩S) =

∫E

f dµ +ν (E ∩S) , µ (S) = 0 (7.14)

In particular, if ν ≪ µ then there is a real valued function f such that ν (E) =∫

E f dµ forall E ∈F . Also, if ν

(Ω̂),µ(Ω̂)< ∞, then f ∈ L1

(Ω̂). This f is unique up 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. Letting 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 7.11.9, thereexists Sk ⊆Ωk, and fk as described there. Thus µk (Sk) = 0 and

νk (E) = νk(E ∩SC

k)+νk (E ∩Sk) =

∫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) (7.15)

Summing over all k, and letting S ≡ ∪kSk, it follows µ (S) = 0 and that for Sk as above,a subset of Ωk where the Ωk are disjoint, Ω \ S = ∪k (Ωk \Sk) . Thus, summing on k in7.15, 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 7.14. ■

Corollary 7.11.13 In the above situation, let λ be a signed measure and let λ ≪ µ

meaning that if µ (E) = 0⇒ λ (E) = 0. Here assume that µ is a finite measure. Then thereexists h ∈ L1 such that λ (E) =

∫E hdµ .

Proof: Let P∪N be a Hahn decomposition of λ . Let

λ+ (E)≡ λ (E ∩P) , λ− (E)≡−λ (E ∩N) .

Then both λ+ and λ− are absolutely continuous measures and so there are nonnegative h+and h− with λ− (E) =

∫E h−dµ and a similar equation for λ+. Then 0 ≤ −λ (Ω∩N) ≤

λ− (Ω) < ∞, similar for λ+ so both of these measures are necessarily finite. Henceboth h− and h+ are in L1 so h ≡ h+− h− is also in L1 and λ (E) = λ+ (E)− λ− (E) =∫

E (h+−h−)dµ . ■

7.12 Exercises1. Let Ω = N={1,2, · · ·}. Let F = P(N), the set of all subsets of N, and let µ(S) =

number of elements in S. Thus µ({1}) = 1 = µ({2}), µ({1,2}) = 2, etc. In thiscase, all functions are measurable. For a nonnegative function, f defined on N, show∫N f dµ = ∑

∞k=1 f (k) . What do the monotone convergence and dominated conver-

gence theorems say about this example?

7.12. EXERCISES 181Corollary 7.11.12 Suppose u,v are both o finite measures defined on (Q,F). Thenthe same conclusion in the above theorem can be obtained.v(E)=v(ENS*) +v(Ens) = [| faut v(ENS), u(s)=0 (7.14)In particular, if V << U then there is a real valued function f such that v(E) = J, fdu forall E € #. Also, if Vv (Q) »L (Q) <0, then f € L! (Q). This f is unique up to a set of ULmeasure zero.Proof: Since both p1,v are o finite, there are {Qa}, such that v (Q,) , (Qe) arefinite. Letting Qo = 0 and Q; = OQ \ (Ui5;) so that U,V are finite on Q, and the Q;are disjoint. Let ¥; be the measurable subsets of Q,, equivalently the intersections withQ, with sets of F. Now let v4 (E) = v(ENQ,), similar for ,. By Theorem 7.11.9, thereexists Sy C Qy, and f; as described there. Thus 11, (S;) = 0 andVe (E) = Vz (ENSE) + VE (EN Sx) =f. Sede + Ve (ENS)Now let f(@) = fx (@) for @ € Qy. ThusV(ENQ) = V(EA(M\ 5) +V(ENS) =f fd +V(ENS) (7.15)Summing over all k, and letting S = U,S,, it follows u(S) = 0 and that for S; as above,a subset of Q, where the Q, are disjoint, Q\ S = U; (Q, \S,). Thus, summing on & in7.15, V(E) = V(ENS°) +V(ENS) = Jp fdu+v (ENS). In particular, if v<< 1, thenV(ENMS) =0 and so v(E) = fi, fdu. The last claim is obvious from 7.14. HiCorollary 7.11.13 In the above situation, let 0 be a signed measure and leti < Uwmeaning that if U(E) =0 > A (E) =0. Here assume that p is a finite measure. Then thereexists h € L' such that A (E) = f,hdu.Proof: Let PUN be a Hahn decomposition of A. LetA(E)=A(ENP), A_(E)=-A(ENN).Then both A, and A_ are absolutely continuous measures and so there are nonnegative h+and h_ with A_ (E) = J, h_du and a similar equation for A. Then 0 < —A (QNN) <A (Q) < , similar for A so both of these measures are necessarily finite. Henceboth A_ and hy are in L! soh=h, —h_ is also in L! and A(E) =A, (E)—A_(E) =Jp (hy —h_)du.7.12 Exercises1. Lett Q=N=({1,2,---}. Let ¥ = A(N), the set of all subsets of N, and let w(S) =number of elements in S. Thus u({1}) = 1 = w({2}), w({1,2}) = 2, etc. In thiscase, all functions are measurable. For a nonnegative function, f defined on N, showIn fdu = Le, f (k). What do the monotone convergence and dominated conver-gence theorems say about this example?