Exercise 21.11

Prove the following standard facts about infinite series:

(a)
Show that if (sn) is a bounded sequence of real numbers and sn sn+1 for each n, then (sn) converges.
(b)
Let (an) be a sequence of real numbers; define sn = i=1na i.

If sn s, we say that the infinite series

i=1a i

converges to s also. Show that if ai converges to s and bi converges to t, then (cai + bi) converges to cs + t.

(c)
Prove the comparison test for infinite series: If |ai| bi for each i, and if the series bi converges, then the series ai converges. [Hint: Show that the series |ai| and ci converge, where ci = |ai| + ai.]
(d)
Given a sequence of functions fn : X , let sn(x) = i=1nf i(x).

Prove the Weierstrass M-test for uniform convergence: If |fi(x)| Mi for all x X and all i, and if the series Mi converges, then the sequence (sn) converges uniformly to a function s. [Hint: Let rn = i=n+1Mi. Show that if k > n, then |sk(x) sn(x)| rn; conclude that |s(x) sn(x)| rn.]

Answers

(a)

Proof. Clearly image of the sequence S = {snn +} is a set of real numbers that is bounded above since the sequence is bounded above. Therefore s = sup S exists, noting that of course sn s for any n + since sn S. We claim that sn s. So consider any 𝜖 > 0 so that clearly s 𝜖 < s, and hence s 𝜖 cannot be an upper bound of S (since s is the least upper bound). Thus there is an N + where s 𝜖 < sN. Then, for any n N we have that s 𝜖 < SN sn s since the sequence is non-decreasing. Thus we have

s 𝜖 < sn s sn < 𝜖 |s sn| < 𝜖 d(sn,s) < 𝜖

since s sn, where d denotes the usual metric on . Hence sn Bd(s,𝜖), which shows that the sequence converges to s since n N and 𝜖 were arbitrary. □

(b)

Proof. Define the partials sums

sn = i=1na i tn = i=1nb i

of ai and bi so that sn s and tn t by the definition of infinite series. Also define the constant sequence cn = c for real c, so that of course cn c. For any n +, we of course have

cnsn + tn = c i=1na i + i=1nb i = i=1nca i + i=1nb i = i=1n(ca i + bi)

since these are just finite sums. It then follows from what was shown in Exercise 21.5 that

i=1(ca i + bi) = lim n i=1n(ca i + bi) = lim n(cnsn + tn) = cs + t

as desired. □

(c)

Proof. Denote the partial sums

sn = i=1n |a i| tn = i=1nb i.

We know that (tn) converges by the definition of an infinite series, since bi converges. So suppose that tn t. We also clearly have that 0 |ai| bi for all i +, so that each term in both sums is always non-negative. It then follows that the sequence of partial sums (sn) and (tn) are non-decreasing, and moreover that tn t for all n +. Lastly, since each |ai| bi, it follows from a simple inductive argument that each sn tn t. Hence (sn) is a non-decreasing sequence that is also bounded (by t), and so it converges by part (a). Therefore the infinite series |ai| converges by definition. Denote its convergence value by u.

Now, we also have that clearly

|ai| ai |ai| 0 |ai| + ai 2 |ai|

for every i +, and that 2 |ai| converges to 2u by what was shown in part (b). Therefore, by the same argument as above, the sequence of partial sums of ( |ai| + ai) is non-decreasing and bounded by 2u so that the series converges, say the the value v. Then, again by part (b), we have that the series

i=1a i = i=1( |a i| + ai |ai|) = i=1 [( |a i| + ai) + (1) |ai|]

converges to v u since both v = ( |ai| + ai) and u = |ai| have been shown to converge. This shows the desired result. □

(d)

Proof. First, since |fi(x)| Mi for all x X and Mi converges, it follows from part (c) that the series fi(x) converges (as does the sequence (sn(x))) for each x X. So set the function s : X to s(x) = lim nsn(x) for each x X. Thus (sn) converges pointwise to s by Definition 21.6.1, and s can be thought of as the (pointwise) infinite sum of the functions fi.

To show that sn s uniformly, first define

rn = i=n+1M i

for n + as the partial series of Mi as in Definition 20.8.1. Now consider any x X, any n +, and any k > n. Then we have that

|sk(x) sn(x)| = | i=1kf i(x) i=1nf i(x)| = | i=n+1kf i(x)| i=n+1k |f i(x)| i=n+1kM i i=n+1M i = rn,

where we note that i=n+1kMi i=n+1Mi since each Mi is non-negative. Since the absolute value function is continuous on , it follows from Theorem 21.3 and Exercise 21.5 that the sequence |sk(x) sn(x)| converges as k , and moreover converges to |s(x) sn(x)| since sk(x) s(x) as k as shown above. Then, since the above inequality holds for any k > n, it follows from Lemma 20.8.1 that

|s(x) sn(x)| = lim k |sk(x) sn(x)| lim krn = rn.

Now consider any 𝜖 > 0. We know from Lemma 20.8.4 that the sequence of partial series (rn) converges to zero since each Mi is non-negative. Hence there is an N + where |rn 0| < 𝜖 for all n N. Moreover, Lemma 20.8.4 asserts that each rn 0 so that |rn 0| = |rn| = rn < 𝜖 for all n N. Thus, for any n > N and any x X, we have

|s(x) sn(x)| rn < 𝜖.

This suffices to show that (sn) uniformly converges to s since 𝜖 was arbitrary. □

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2019-12-01 00:00
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