5.8. AN APPROACH TO THE INTEGRAL 127

Proposition 5.8.7 The above definition is well defined.

Proof: Letting b ≡ sup{x : f (x) ̸= 0} , it follows f (b) = 0 and f (x) = 0 for x > b.Similarly if a ≡ inf{x : f (x) ̸= 0} , it follows f (a) = 0 and f (x) = 0 for x < a. Thus, bythe mean value theorem, F ′= f requires F (x) =F (b) for x> b and F (x) =F (a) for x< a.It follows that the above definition is not dependent on the interval [a,b] containing spt( f ).■

Consider the iterated integral∫ b1

a1· · ·∫ bp

apαxα1

1 · · ·xα pp dxp · · ·dx1. It means just what it

meant in calculus. You do the integral with respect to xp first, keeping the other variablesconstant, obtaining a polynomial function of the other variables. Then you do this one withrespect to xp−1 and so forth. Thus, doing the computation, it reduces to

α

p

∏k=1

(∫ bk

ak

xαkk dxk

)= α

p

∏k=1

(bαk+1

αk +1− aαk+1

αk +1

)and the same thing would be obtained for any other order of the iterated integrals. Sinceeach of these integrals is linear, it follows that if (i1, · · · , ip) is any permutation of (1, · · · , p) ,then for any polynomial q,∫ b1

a1

· · ·∫ bp

ap

q(x1, ...,xp)dxp · · ·dx1 =∫ bi1

aip

· · ·∫ bip

aip

q(x1, ...,xp)dxip · · ·dxi1

Now let f : ∏pk=1 [ak,bk]→ R be continuous. Then each iterated integral results in a con-

tinuous function of the remaining variables and so the iterated integral makes sense. Forexample, by Proposition 5.8.5,

∣∣∣∫ dc f (x,y)dy−

∫ dc f (x̂,y)dy

∣∣∣=∣∣∣∣∫ d

c( f (x,y)− f (x̂,y))dy

∣∣∣∣≤ maxy∈[c,d]

| f (x,y)− f (x̂,y)|< ε

if |x− x̂| is sufficiently small, thanks to uniform continuity of f on the compact set [a,b]×[c,d]. Thus it makes perfect sense to consider the iterated integral

∫ ba∫ d

c f (x,y)dydx. Thenusing Proposition 5.8.5 on the iterated integrals along with Theorem 5.6.1, there exists asequence of polynomials which converges to f uniformly {pn} . Then applying Proposition5.8.5 repeatedly,∣∣∣∣∣∫ bi1

aip

· · ·∫ bip

aip

f (x)dxp · · ·dx1−∫ bi1

aip

· · ·∫ bip

aip

pn (x)dxp · · ·dx1

∣∣∣∣∣≤ ∥ f − pn∥p

∏k=1|bk−ak|

(5.4)With this, it is easy to prove a rudimentary Fubini theorem valid for continuous functions.

Theorem 5.8.8 f : ∏pk=1 [ak,bk]→ R be continuous. Then for (i1, · · · , ip) any per-

mutation of (1, · · · , p) ,∫ bi1

aip

· · ·∫ bip

aip

f (x)dxip · · ·dxi1 =∫ b1

a1

· · ·∫ bp

ap

f (x)dxp · · ·dx1

If f ≥ 0, then the iterated integrals are nonnegative if each ak ≤ bk. Also, we can define forf ∈Cc (Rp) ∫

Rpf ≡

∫ b1

a1

· · ·∫ bp

ap

f (x)dxp · · ·dx1

5.8. AN APPROACH TO THE INTEGRAL 127Proposition 5.8.7 The above definition is well defined.Proof: Letting b = sup{x: f (x) £0}, it follows f(b) = 0 and f(x) =0 for x > bd.Similarly if a = inf {x: f (x) £0}, it follows f(a) =0 and f (x) =0 for x < a. Thus, bythe mean value theorem, F’ = f requires F (x) = F (b) for x > band F (x) = F (a) forx <a.It follows that the above definition is not dependent on the interval [a,b] containing spt (f).aConsider the iterated integral I hee. Jee ax! ...x5?dx,-+-dx,. It means just what itmeant in calculus. You do the integral with respect to x, first, keeping the other variablesconstant, obtaining a polynomial function of the other variables. Then you do this one withrespect to x»—_; and so forth. Thus, doing the computation, it reduces toDp perl qQhkt1a [ x Par) = =a ( )I ( ag k I On+ 1 atland the same thing would be obtained for any other order of the iterated integrals. Sinceeach of these integrals is linear, it follows that if (i,--- ,i,) is any permutation of (1,---,p),then for any pono q,by 4 Pip[~ "als. .)X p)AXp -dx| = [~ q(x1,-- Xp) dx;, ++ dXi,ipNow let f: Ur [ax, b,] + R be continuous. Then each iterated integral results in a con-tinuous function of the remaining variables and so the iterated integral makes sense. Forexample, by Proposition 5.8.5, (x,y) dy — for (,y) dy| =['rl9)-F)) 4] = max IF.) —Fy)] <eif |x —%| is sufficiently small, thanks to uniform continuity of f on the compact set [a,b] x[c,d]. Thus it makes perfect sense to consider the iterated integral [? [ f (x,y) dydx. Thenusing Proposition 5.8.5 on the iterated integrals along with Theorem 5.6.1, there exists asequence of polynomials which converges to f uniformly {p,}. Then applying Proposition5.8.5 repeatedly,Pit Dip Dipof a) dxp++-dx, — [> Dn (x) dXp---dxyp< ||f — pall [J |e — axk=l(5.4)With this, it is easy to prove a rudimentary Fubini theorem valid for continuous functions.dipTheorem 5.8.8 ;: TRL, [ax 2%] 4 R be continuous. Then for (i1,+++ ip) any per-mutation of (1,---,p),iy Dip by[> f( x) dx;, °° -dXxj, = [~ f(a XL) dXp-+-dxdipIf f > 0, then the iterated integrals are nonnegative if each ay < by. Also, we can define forf €C.(R’)by[t =| x) AXp- -- dx