270 CHAPTER 9. MEASURES AND MEASURABLE FUNCTIONS

10. For x ∈Rp to be in ∏pi=1 Ai, it means that the ith component of x, xi is in Ai for each

i. Now for ∏pi=1 (ai,bi)≡ R, let V (R) = ∏

pi=1 (bi−ai) . Next, for A ∈P (Rp) let

µ (A)≡ inf

{∑k

V(

Rk)

: A⊆ ∪kRk

}This is just like one dimensional Lebesgue measure except that instead of open in-tervals, we are using open boxes Rk. Show the following.

(a) µ is an outer measure.(b) µ

(∏

pi=1 [ai,bi]

)= ∏

pi=1 (bi−ai) = µ

(∏

pi=1 (ai,bi)

).

(c) If dist(A,B)> 0, then µ (A)+µ (B) = µ (A∪B) so B (Rp)⊆F the set of setsmeasurable with respect to this outer measure µ .

This is Lebesgue measure on Rp. Hint: Suppose for some j,b j−a j < ε. Show thatµ(∏

pi=1 (ai,bi)

)≤ ε ∏i ̸= j (bi−ai). Now use this to show that if you have a covering

by finitely many open boxes, such that the sum of their volumes is less than somenumber, you can replace with a covering of open boxes which also has the sum oftheir volumes less than that number but which has each box with sides less than δ .To do this, you might consider replacing each box in the covering with 2mp openboxes obtained by bisecting each side m times where m is small enough that eachlittle box has sides smaller than δ/2 in each of the finitely many boxes in the coverand then fatten each of these just a little to cover up what got left out and retain thesum of the volumes of the little boxes to still be less than the number you had.

11. ↑Show that Lebesgue measure defined in the above problem is both inner and outerregular and is translation invariant.

12. Let (Ω,F ,µ) be a measure space and let s(ω) = ∑ni=0 ciXEi (ω) where the Ei are

distinct measurable sets but the ci might not be. Thus the ci are the finitely manyvalues of s. Say each ci ≥ 0 and c0 = 0. Define

∫sdµ as ∑i ciµ (Ei). Show that this is

well defined and that if you have s(ω) = ∑ni=1 ciXEi (ω) , t (ω) = ∑

mj=1 d jXFj (ω) ,

then for a,b nonnegative numbers, as(ω)+ bt (ω) can be written also in this formand that

∫(as+bt)dµ = a

∫sdµ + b

∫tdµ . Hint: s(ω) = ∑i ∑ j ciXEi∩Fj (ω) =

∑ j ∑i ciXEi∩Fj (ω) and (as+bt)(ω) = ∑ j ∑i (aci +bd j)XEi∩Fj (ω).

13. ↑Having defined the integral of nonnegative simple functions in the above problem,letting f be nonnegative and measurable. Define∫

f dµ ≡ sup{∫

sdµ : 0≤ s≤ f ,s simple}.

Show that if fn is nonnegative and measurable and n→ fn (ω) is increasing, showthat for f (ω) = limn→∞ fn (ω) , it follows that

∫f dµ = limn→∞

∫fndµ . Hint: Show∫

fndµ is increasing to something α ≤ ∞. Explain why∫

f dµ ≥ α. Now pick anonnegative simple function s ≤ f . For r ∈ (0,1) , [ fn > rs] ≡ En is increasing in nand ∪nEn = Ω. Tell why

∫fndµ ≥

∫XEn fndµ ≥ r

∫sdµ . Let n→ ∞ and show that

α ≥ r∫

sdµ . Now explain why α ≥ r∫

f dµ . Since r is arbitrary, α ≥∫

f dµ ≥ α .

14. ↑Show that if f ,g are nonnegative and measurable and a,b≥ 0, then∫(a f +bg)dµ = a

∫f dµ +b

∫gdµ

27010.11.12.13.14.CHAPTER 9. MEASURES AND MEASURABLE FUNCTIONSFor x € R? to be in my A;, it means that the jth component of a, x; is in A; for eachi. Now for []?_, (a;,b;) = R, let V(R) = TTL, (bi — ai). Next, for A € A(R?) letu(A) = iw Ev (R*) :AC ut |kThis is just like one dimensional Lebesgue measure except that instead of open in-tervals, we are using open boxes R*. Show the following.(a) pis an outer measure.(b) w (TT, (ai,bi]) =, (bi -—a) = w (TR (ai, bi) -(c) If dist(A,B) > 0, then u (A) + (B) =p (AUB) so A(R”) C F the set of setsmeasurable with respect to this outer measure LU.This is Lebesgue measure on R?. Hint: Suppose for some j,b; — a; < €. Show thatLe (TT, (ai,bi)) < € Tz; (bi — ai). Now use this to show that if you have a coveringby finitely many open boxes, such that the sum of their volumes is less than somenumber, you can replace with a covering of open boxes which also has the sum oftheir volumes less than that number but which has each box with sides less than 6.To do this, you might consider replacing each box in the covering with 2”? openboxes obtained by bisecting each side m times where m is small enough that eachlittle box has sides smaller than 6/2 in each of the finitely many boxes in the coverand then fatten each of these just a little to cover up what got left out and retain thesum of the volumes of the little boxes to still be less than the number you had.+Show that Lebesgue measure defined in the above problem is both inner and outerregular and is translation invariant.Let (Q,.-¥, 1) be a measure space and let s(@) = Y_) ci %z, (@) where the E; aredistinct measurable sets but the c; might not be. Thus the c; are the finitely manyvalues of s. Say each c; > 0 and co = 0. Define f sdu as Yc; (E;). Show that this iswell defined and that if you have s(@) = Yi; ci: 2g; (@),t(@) = Li dj Zr, (@),then for a,b nonnegative numbers, as(@) + bt (@) can be written also in this formand that f(as+bt)du =afsdu+bftdu. Hint: s(@) = LiL ici Zener, (@) =Yi y; ci ZEN; (@) and (as + bt) (@) = Dy, y; (ac; +bdj) ZEN; (@).Having defined the integral of nonnegative simple functions in the above problem,letting f be nonnegative and measurable. Define[raw =s{ [sauco<s< posimpreShow that if f, is nonnegative and measurable and n > f,(@) is increasing, showthat for f (@) = limp. fn (@), it follows that f fdu = limy+.. f fr,du. Hint: ShowJ frdu is increasing to something a <o. Explain why f fd > a. Now pick anonnegative simple function s < f. For r € (0,1),[fn > rs] = Ey is increasing in nand U,E, = Q. Tell why f fidu > f Zz, frdu > rf sd. Let n > © and show thata >rfsdu. Now explain why a >rf fdu. Since r is arbitrary, a > f fdu > a.+tShow that if f, g are nonnegative and measurable and a,b > 0, then| (af +bs)du =a fdu+b | gdp