308 CHAPTER 13. THE GENERALIZED RIEMANN INTEGRAL

Corollary 13.1.16 Suppose f ∈ R∗ [a,b] has values in R and that∣∣∣∣S (P, f )−∫

If dF

∣∣∣∣≤ ε

for all P which is δ fine. Then if P = {(Ii, ti)}ni=1 is δ fine,

n

∑i=1

∣∣∣∣ f (ti)∆Fi−∫

Iif dF

∣∣∣∣≤ 2ε. (13.1)

Proof: Let I ≡{

i : f (ti)∆Fi ≥∫

Ii f dF}

and let I C ≡ {1, · · · ,n}\I . Then by Hen-stock’s lemma ∣∣∣∣∣∑i∈I f (ti)∆Fi− ∑

i∈I

∫Ii

f dF

∣∣∣∣∣= ∑i∈I

∣∣∣∣ f (ti)∆Fi−∫

Iif dF

∣∣∣∣≤ ε

and ∣∣∣∣∣ ∑i∈I C

f (ti)∆Fi− ∑i∈I C

∫Ii

f dF

∣∣∣∣∣= ∑i∈I C

∣∣∣∣ f (ti)∆Fi−∫

Iif dF

∣∣∣∣≤ ε

so adding these together yields 13.1.This generalizes immediately to the following.

Corollary 13.1.17 Suppose f ∈ R∗ [a,b] has values in C and that∣∣∣∣S (P, f )−∫

If dF

∣∣∣∣≤ ε (13.2)

for all P which is δ fine. Then if P = {(Ii, ti)}ni=1 is δ fine,

n

∑i=1

∣∣∣∣ f (ti)∆Fi−∫

Iif dF

∣∣∣∣≤ 4ε. (13.3)

Proof: It is clear that if 13.2 holds, then |S (P,Re f )−Re∫

I f dF | ≤ ε, which showsthat Re

∫I f dF =

∫I Re f dF . Similarly Im

∫I f dF =

∫I Im f dF . Therefore, using Corollary

13.1.16, ∑ni=1

∣∣∣Re f (ti)∆Fi−∫

Ii Re f dF∣∣∣ ≤ 2ε and ∑

ni=1

∣∣∣i Im f (ti)∆Fi−∫

Ii i Im f dF∣∣∣ ≤ 2ε.

Adding and using the triangle inequality, yields 13.3.

13.2 Monotone Convergence TheoremThere is nothing like the following theorem in the context of Riemann integration.

Example 13.2.1 Let {rn}∞

m=1 be the rational numbers in [0,1]. Let fn (x) be 1 if x ∈{r1, · · · ,rn} and 0 elsewhere and F (x) = x. Then fn is Riemann integrable and convergespointwise to the function f (x) which is 1 on all rationals in [0,1] and zero elsewhere. How-ever, f is not Riemann integrable. Indeed, there is a gap between the upper and lowersums. See Theorem 9.3.10 on Page 198.

In contrast to this example, here is the monotone convergence theorem.

308 CHAPTER 13. THE GENERALIZED RIEMANN INTEGRALCorollary 13.1.16 Suppose f € R* [a,b] has values in RR and thatscr.n— [rar] <eIfor all P which is 6 fine. Then if P = {(Ij,t;) }7_, is 6 fine,yrf(t) AR — [ sar| <2e. (13.1)Proof: Let .% = {i : f (i) AK > J, far and let %° = {1,--- ,n}\.Z. Then by Hen-stock’s lemmayf (ti) AF ry} faP| =ig $FiE. fF¥ [roan f sar <e€andy f)an- ¥v [ fdF| =ic. ZC &¥ [roan [ rar| <e» “diso adding these together yields 13.1. JThis generalizes immediately to the following.Corollary 13.1.17 Suppose f € R* [a,b] has values in C and thatscr [rar] <e (13.2)Ifor all P which is 6 fine. Then if P = {(I,t;) }7_, is 6 fine,nProof: It is clear that if 13.2 holds, then |S(P,Ref)—Re f; fdF| < €, which showsthat Re f, fdF = f,Re fdF. Similarly Im f, fdF = J, Im fdF. Therefore, using Corollary13.1.16, 2% [Ref (ti) AF — fj, Re fdF| <2e andy", Jil f (1) AF — film fdF| < 2e.Adding and using the triangle inequality, yields 13.3. Jf(t) AB — [ sar| <4e. (13.3)13.2 Monotone Convergence TheoremThere is nothing like the following theorem in the context of Riemann integration.Example 13.2.1 Let {rn};,-, be the rational numbers in (0,1). Let fy(x) be 1 if x €{r1,-++ tn} and 0 elsewhere and F (x) =x. Then f, is Riemann integrable and convergespointwise to the function f (x) which is I on all rationals in [0,1] and zero elsewhere. How-ever, f is not Riemann integrable. Indeed, there is a gap between the upper and lowersums. See Theorem 9.3.10 on Page 198.In contrast to this example, here is the monotone convergence theorem.