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§9 Limit Theorems for Sequences

This section proves the familiar rules for computing limits. First: a sequence (sn)(s_n) is bounded if {sn:n∈N}\{s_n : n \in \mathbb{N}\} is a bounded set, i.e. there is a constant MM with ∣sn∣≤M|s_n| \le M for all nn.

Why this matters

Proving every limit straight from Definition 7.1 would be exhausting, as Example 3 of §8 showed. The theorems below do the ε–N work once, for sums, products and quotients, so that afterwards most limits can be computed by algebra. Each proof is a model of a technique you will reuse: split the error with the Triangle Inequality, and control each piece separately.

9.1 Theorem.

Convergent sequences are bounded.

Used in Exercise 8.7, Theorem 9.4, Lemma 10.10, §18

Proof

Let s=lim⁡sns = \lim s_n. Applying Definition 7.1 with ε=1\varepsilon = 1, there is N∈NN \in \mathbb{N} with ∣sn−s∣<1|s_n - s| < 1 for n>Nn > N, so ∣sn∣<∣s∣+1|s_n| < |s| + 1 for n>Nn > N by the Triangle Inequality. Let M=max⁡{∣s∣+1,∣s1∣,∣s2∣,…,∣sN∣}M = \max\{|s| + 1, |s_1|, |s_2|, \dots, |s_N|\}. Then ∣sn∣≤M|s_n| \le M for all nn.

∎

The proof used the definition of limit for just one value of ε\varepsilon, and the choice ε=1\varepsilon = 1 was arbitrary.

9.2 Theorem.

If (sn)(s_n) converges to ss and k∈Rk \in \mathbb{R}, then (ksn)(ks_n) converges to ksks. That is, lim⁡(ksn)=k⋅lim⁡sn\lim(ks_n) = k \cdot \lim s_n.

Used in Exercise 9.1, Exercise 9.3, Exercise 10.2, Exercise 11.8, §17, Theorem 17.3

Proof

The case k=0k = 0 is trivial, so assume k≠0k \ne 0. Let ε>0\varepsilon > 0. There is NN with ∣sn−s∣<ε∣k∣|s_n - s| < \frac{\varepsilon}{|k|} for n>Nn > N. Then n>Nn > N implies ∣ksn−ks∣<ε|ks_n - ks| < \varepsilon.

∎
9.3 Theorem.

If (sn)(s_n) converges to ss and (tn)(t_n) converges to tt, then (sn+tn)(s_n + t_n) converges to s+ts + t. That is, lim⁡(sn+tn)=lim⁡sn+lim⁡tn\lim(s_n + t_n) = \lim s_n + \lim t_n.

Used in Theorem 9.7, Exercise 9.1, Exercise 9.3, Exercise 12.4, Theorem 17.4

Proof

Let ε>0\varepsilon > 0. Note ∣sn+tn−(s+t)∣≤∣sn−s∣+∣tn−t∣|s_n + t_n - (s + t)| \le |s_n - s| + |t_n - t|. Choose N1N_1 with ∣sn−s∣<ε2|s_n - s| < \frac\varepsilon2 for n>N1n > N_1 and N2N_2 with ∣tn−t∣<ε2|t_n - t| < \frac\varepsilon2 for n>N2n > N_2. With N=max⁡{N1,N2}N = \max\{N_1, N_2\}, n>Nn > N implies ∣sn+tn−(s+t)∣<ε2+ε2=ε|s_n + t_n - (s + t)| < \frac\varepsilon2 + \frac\varepsilon2 = \varepsilon.

∎
9.4 Theorem.

If (sn)(s_n) converges to ss and (tn)(t_n) converges to tt, then (sntn)(s_n t_n) converges to stst. That is, lim⁡(sntn)=(lim⁡sn)(lim⁡tn)\lim(s_n t_n) = (\lim s_n)(\lim t_n).

Used in Theorem 9.6, Exercise 9.1, Exercise 9.3, Exercise 12.8, §17, Theorem 17.4

Discussion.

The trick is to add and subtract snts_n t:

∣sntn−st∣=∣sntn−snt+snt−st∣≤∣sn∣⋅∣tn−t∣+∣t∣⋅∣sn−s∣.|s_n t_n - st| = |s_n t_n - s_n t + s_n t - st| \le |s_n|\cdot|t_n - t| + |t|\cdot|s_n - s|.

For large nn, ∣tn−t∣|t_n - t| and ∣sn−s∣|s_n - s| are small, and ∣t∣|t| is a constant. Theorem 9.1 says ∣sn∣|s_n| is bounded, so the first term can be made small too.

Proof

Let ε>0\varepsilon > 0. By Theorem 9.1 there is M>0M > 0 with ∣sn∣≤M|s_n| \le M for all nn. Choose N1N_1 with ∣tn−t∣<ε2M|t_n - t| < \frac{\varepsilon}{2M} for n>N1n > N_1, and N2N_2 with ∣sn−s∣<ε2(∣t∣+1)|s_n - s| < \frac{\varepsilon}{2(|t| + 1)} for n>N2n > N_2. (We use 2(∣t∣+1)2(|t| + 1) rather than 2∣t∣2|t| because tt could be 00.) For n>max⁡{N1,N2}n > \max\{N_1, N_2\},

∣sntn−st∣≤M⋅ε2M+∣t∣⋅ε2(∣t∣+1)<ε2+ε2=ε.|s_n t_n - st| \le M \cdot \frac{\varepsilon}{2M} + |t| \cdot \frac{\varepsilon}{2(|t|+1)} < \frac\varepsilon2 + \frac\varepsilon2 = \varepsilon.∎

Intuitionwhere the product error comes from

Write sn=s+ens_n = s + e_n and tn=t+fnt_n = t + f_n, where the errors ene_n and fnf_n tend to 00. Then

sntn−st=sfn+ten+enfn.s_n t_n - st = s f_n + t e_n + e_n f_n.

Each piece is a fixed number times something small, or small times small, so the whole error is small. The proof above organizes the same idea differently: it uses the bound ∣sn∣≤M|s_n| \le M from Theorem 9.1 so that only two pieces are needed.

Suppose sn→3s_n \to 3 and tn→−2t_n \to -2. What happens to the product sntns_n t_n?

The widget below runs these two proofs with numbers. For a given ε\varepsilon it finds the N1N_1 and N2N_2 the proof asks for and takes N=max⁡{N1,N2}N = \max\{N_1, N_2\}. It also shows the smallest NN that actually works, which is often much smaller: a proof only needs some NN.

sₙ + tₙ inside the ε-bandoutside the bandN₁ (dashed)N₂ (dashed)smallest N that works

The proof asks for |sₙ − 2| < ε/2 = 0.160, which holds for n > N₁ = 39, and |tₙ − 0| < ε/2, which holds for n > N₂ = 6.

✓ So N = max{39, 6} = 39 works: every n > 39 has |sₙ + tₙ − (2 + 0)| < 0.320.

The smallest N that actually works is 15. The proof's N is safe but not sharp: the triangle inequality assumes the two errors pile up, when often they partly cancel.

To handle quotients we first deal with reciprocals.

9.5 Lemma.

If (sn)(s_n) converges to ss, sn≠0s_n \ne 0 for all nn, and s≠0s \ne 0, then (1/sn)(1/s_n) converges to 1/s1/s.

Used in Theorem 9.6, Theorem 9.7, Theorem 12.1

Discussion.

1sn−1s=s−snsns\frac1{s_n} - \frac1s = \frac{s - s_n}{s_n s}. The numerator is small for large nn. The only danger is a small denominator, and Example 6 of §8 rules that out: m=inf⁡{∣sn∣:n∈N}>0m = \inf\{|s_n| : n \in \mathbb{N}\} > 0. So ∣1sn−1s∣≤∣s−sn∣m∣s∣\left|\frac1{s_n} - \frac1s\right| \le \frac{|s - s_n|}{m|s|}.

Proof

Let ε>0\varepsilon > 0. By Example 6 of §8 there is m>0m > 0 with ∣sn∣≥m|s_n| \ge m for all nn. Choose NN with ∣s−sn∣<ε⋅m∣s∣|s - s_n| < \varepsilon \cdot m|s| for n>Nn > N. Then n>Nn > N implies

∣1sn−1s∣=∣s−sn∣∣sns∣≤∣s−sn∣m∣s∣<ε.\left| \frac1{s_n} - \frac1s \right| = \frac{|s - s_n|}{|s_n s|} \le \frac{|s - s_n|}{m|s|} < \varepsilon.∎
9.6 Theorem.

Suppose (sn)(s_n) converges to ss and (tn)(t_n) converges to tt. If s≠0s \ne 0 and sn≠0s_n \ne 0 for all nn, then (tn/sn)(t_n/s_n) converges to t/st/s.

Used in Exercise 9.1, Exercise 9.3, Theorem 17.4

Proof

By Lemma 9.5, (1/sn)(1/s_n) converges to 1/s1/s, so by Theorem 9.4, lim⁡tnsn=lim⁡1sn⋅tn=1s⋅t=ts\lim \frac{t_n}{s_n} = \lim \frac1{s_n} \cdot t_n = \frac1s \cdot t = \frac ts.

∎

Common pitfallcheck the hypotheses first

  • The theorems need both limits to exist as real numbers. With sn=(−1)ns_n = (-1)^n and tn=−(−1)nt_n = -(-1)^n, the sum sn+tn=0s_n + t_n = 0 converges although neither sequence does. So “lim⁡(sn+tn)=lim⁡sn+lim⁡tn\lim(s_n + t_n) = \lim s_n + \lim t_n” can only be written once you know the right side makes sense.
  • Theorem 9.6 needs lim⁡sn≠0\lim s_n \ne 0. When the denominator tends to 00, rewrite the quotient first, as in Examples 2 and 3 below.
  • Limits preserve ≤\le but not <<. Every term of 1n\frac1n is positive, yet lim⁡1n=0\lim \frac1n = 0. Exercise 8.9 and Exercise 9.9(c) give the correct statements.

These theorems, together with a few standard examples, make many limits easy.

9.7 Theorem (Basic Examples).
  1. lim⁡n→∞1np=0\lim_{n\to\infty} \dfrac1{n^p} = 0 for p>0p > 0.
  2. lim⁡n→∞an=0\lim_{n\to\infty} a^n = 0 if ∣a∣<1|a| < 1.
  3. lim⁡n1/n=1\lim n^{1/n} = 1.
  4. lim⁡n→∞a1/n=1\lim_{n\to\infty} a^{1/n} = 1 for a>0a > 0.

Used in §1, §7, Exercise 9.1, Exercise 9.7, Exercise 9.12, Exercise 9.13, Exercise 9.14, Theorem 12.2, Exercise 12.11, §14, Theorem 14.9

Proof

(a) Let ε>0\varepsilon > 0 and N=(1/ε)1/pN = (1/\varepsilon)^{1/p}. Then n>Nn > N implies np>1εn^p > \frac1\varepsilon, so 0<1np<ε0 < \frac1{n^p} < \varepsilon. (The meaning of npn^p for non-integer pp is discussed in §37.)

(b) We may assume a≠0a \ne 0. Since ∣a∣<1|a| < 1, write ∣a∣=11+b|a| = \frac1{1+b} with b>0b > 0. By the binomial theorem (Exercise 1.12), (1+b)n≥1+nb>nb(1 + b)^n \ge 1 + nb > nb, so ∣an−0∣=1(1+b)n<1nb|a^n - 0| = \frac1{(1+b)^n} < \frac1{nb}. Given ε>0\varepsilon > 0, let N=1εbN = \frac1{\varepsilon b}. Then n>Nn > N implies ∣an−0∣<1nb<ε|a^n - 0| < \frac1{nb} < \varepsilon.

(c) Let sn=n1/n−1≥0s_n = n^{1/n} - 1 \ge 0. By Theorem 9.3 it suffices to show lim⁡sn=0\lim s_n = 0. Since n=(1+sn)nn = (1 + s_n)^n, the binomial expansion gives, for n≥2n \ge 2,

n=(1+sn)n≥1+nsn+12n(n−1)sn2>12n(n−1)sn2.n = (1 + s_n)^n \ge 1 + ns_n + \tfrac12 n(n-1)s_n^2 > \tfrac12 n(n-1)s_n^2.

So sn2<2n−1s_n^2 < \frac2{n-1}, i.e. sn<2n−1s_n < \sqrt{\frac2{n-1}} for n≥2n \ge 2. A standard argument now gives lim⁡sn=0\lim s_n = 0 (Exercise 9.7).

(d) If a≥1a \ge 1, then for n≥an \ge a we have 1≤a1/n≤n1/n1 \le a^{1/n} \le n^{1/n}, and (c) with the squeeze lemma (Exercise 8.5(a)) gives lim⁡a1/n=1\lim a^{1/n} = 1. If 0<a<10 < a < 1, then 1a>1\frac1a > 1, so lim⁡(1/a)1/n=1\lim (1/a)^{1/n} = 1, and Lemma 9.5 gives lim⁡a1/n=1\lim a^{1/n} = 1.

∎
Example 1.

Prove lim⁡sn=14\lim s_n = \frac14, where sn=n3+6n2+74n3+3n−4s_n = \dfrac{n^3 + 6n^2 + 7}{4n^3 + 3n - 4}.

Solution

Divide by n3n^3: sn=1+6n+7n34+3n2−4n3s_n = \dfrac{1 + \frac6n + \frac7{n^3}}{4 + \frac3{n^2} - \frac4{n^3}}. By Theorem 9.7(a), lim⁡1n=lim⁡1n2=lim⁡1n3=0\lim\frac1n = \lim\frac1{n^2} = \lim\frac1{n^3} = 0. By Theorems 9.3 and 9.2, lim⁡(1+6n+7n3)=1\lim\left(1 + \frac6n + \frac7{n^3}\right) = 1 and lim⁡(4+3n2−4n3)=4\lim\left(4 + \frac3{n^2} - \frac4{n^3}\right) = 4. Theorem 9.6 gives lim⁡sn=14\lim s_n = \frac14.

∎
Example 2.

Find lim⁡n−5n2+7\lim \dfrac{n - 5}{n^2 + 7}.

Solution

Writing it as 1−5/nn+7/n\frac{1 - 5/n}{n + 7/n} is no good, because the denominator does not converge. Instead divide by n2n^2: 1n−5n21+7n2\dfrac{\frac1n - \frac5{n^2}}{1 + \frac7{n^2}}. The numerator tends to 00 and the denominator to 11, so the limit is 01=0\frac01 = 0.

∎
Example 3.

Find lim⁡n2+3n+1\lim \dfrac{n^2 + 3}{n + 1}.

Solution

Both n+3n1+1n\dfrac{n + \frac3n}{1 + \frac1n} and 1+3n21n+1n2\dfrac{1 + \frac3{n^2}}{\frac1n + \frac1{n^2}} lead to trouble: either the numerator diverges or the denominator tends to 00. In fact the sequence does not converge, and lim⁡n2+3n+1\lim \frac{n^2+3}{n+1} is undefined for now. You may feel the urge to write +∞+\infty. Definition 9.8 makes that legitimate; see Example 6.

∎
9.8 Definition.

For a sequence (sn)(s_n), we write lim⁡sn=+∞\lim s_n = +\infty provided

for each M>0 there is a number N such that n>N implies sn>M.\text{for each } M > 0 \text{ there is a number } N \text{ such that } n > N \text{ implies } s_n > M.

We then say (sn)(s_n) diverges to +∞+\infty. Similarly, lim⁡sn=−∞\lim s_n = -\infty provided for each M<0M < 0 there is NN such that n>Nn > N implies sn<Ms_n < M.

Used in Exercise 9.17

From now on, (sn)(s_n) has a limit, or the limit exists, if (sn)(s_n) converges, diverges to +∞+\infty, or diverges to −∞-\infty. For +∞+\infty the challenging values of MM are large positive numbers; for −∞-\infty they are “large” negative numbers like −10,000,000,000-10{,}000{,}000{,}000.

Example 4.

lim⁡n2=+∞\lim n^2 = +\infty, lim⁡(−n)=−∞\lim(-n) = -\infty, lim⁡2n=+∞\lim 2^n = +\infty and lim⁡(n+7)=+∞\lim(\sqrt n + 7) = +\infty. On the other hand sn=(−1)nns_n = (-1)^n n and tn=ncos⁡2(nπ2)t_n = n\cos^2\left(\frac{n\pi}2\right) are unbounded but diverge neither to +∞+\infty nor to −∞-\infty, so lim⁡[(−1)nn]\lim[(-1)^n n] and lim⁡[ncos⁡2(nπ2)]\lim[n\cos^2(\frac{n\pi}2)] are meaningless. Note tn=nt_n = n for even nn and tn=0t_n = 0 for odd nn.

Proofs about infinite limits follow the same strategy as for finite limits.

Example 5.

Give a formal proof that lim⁡(n+7)=+∞\lim(\sqrt n + 7) = +\infty.

Discussion.

Given M>0M > 0 we want n+7>M\sqrt n + 7 > M, which holds when n>M−7\sqrt n > M - 7, i.e. when n>(M−7)2n > (M - 7)^2. So take N=(M−7)2N = (M - 7)^2.

Formal Proof

Let M>0M > 0 and N=(M−7)2N = (M - 7)^2. Then n>Nn > N implies n>M−7\sqrt n > M - 7, hence n+7>M\sqrt n + 7 > M.

∎
Example 6.

Give a formal proof that lim⁡n2+3n+1=+∞\lim \dfrac{n^2+3}{n+1} = +\infty (see Example 3).

Discussion.

Bound the fraction below by a multiple of n2n=n\frac{n^2}{n} = n. Since n2+3>n2n^2 + 3 > n^2 and n+1≤2nn + 1 \le 2n, we have n2+3n+1>n22n=n2\frac{n^2+3}{n+1} > \frac{n^2}{2n} = \frac n2, so it suffices to make n2>M\frac n2 > M.

Formal Proof

Let M>0M > 0 and N=2MN = 2M. Then n>Nn > N implies n2+3n+1>n22n=n2>M\dfrac{n^2+3}{n+1} > \dfrac{n^2}{2n} = \dfrac n2 > M.

∎

Common pitfallindeterminate forms

Knowing that one factor tends to +∞+\infty and the other to 00 tells you nothing by itself: n⋅1n→1n \cdot \frac1n \to 1, n2⋅1n→+∞n^2 \cdot \frac1n \to +\infty and n⋅1n2→0n \cdot \frac1{n^2} \to 0. Theorems 9.9 and 9.10 are the safe statements; they avoid these cases by requiring lim⁡tn>0\lim t_n > 0, or by working with reciprocals of positive terms.

9.9 Theorem.

Let (sn)(s_n) and (tn)(t_n) be sequences with lim⁡sn=+∞\lim s_n = +\infty and lim⁡tn>0\lim t_n > 0 (lim⁡tn\lim t_n may be finite or +∞+\infty). Then lim⁡sntn=+∞\lim s_n t_n = +\infty.

Used in Exercise 9.16, Theorem 12.1

Discussion.

Given M>0M > 0 we need sntn>Ms_n t_n > M for large nn. We must keep the tnt_n away from 00: pick mm with 0<m<lim⁡tn0 < m < \lim t_n, so that tn>mt_n > m for large nn. Then it is enough to have sn>Mms_n > \frac Mm.

Proof

Let M>0M > 0 and choose a real mm with 0<m<lim⁡tn0 < m < \lim t_n. Whether or not lim⁡tn=+∞\lim t_n = +\infty, there is N1N_1 such that n>N1n > N_1 implies tn>mt_n > m (Exercise 8.10). Since lim⁡sn=+∞\lim s_n = +\infty, there is N2N_2 such that n>N2n > N_2 implies sn>Mms_n > \frac Mm. For n>max⁡{N1,N2}n > \max\{N_1, N_2\}, sntn>Mm⋅m=Ms_n t_n > \frac Mm \cdot m = M.

∎
Example 7.

Use Theorem 9.9 to prove lim⁡n2+3n+1=+∞\lim \dfrac{n^2+3}{n+1} = +\infty.

Solution

n2+3n+1=n+3n1+1n=sntn\dfrac{n^2+3}{n+1} = \dfrac{n + \frac3n}{1 + \frac1n} = s_n t_n with sn=n+3ns_n = n + \frac3n and tn=11+1nt_n = \dfrac1{1 + \frac1n}. Clearly lim⁡sn=+∞\lim s_n = +\infty and lim⁡tn=1\lim t_n = 1, so Theorem 9.9 applies.

∎
9.10 Theorem.

For a sequence (sn)(s_n) of positive real numbers, lim⁡sn=+∞\lim s_n = +\infty if and only if lim⁡(1sn)=0\lim \left(\dfrac1{s_n}\right) = 0.

Used in Exercise 9.12, Exercise 9.13, Exercise 9.16

Proof

We must show

lim⁡sn=+∞  ⟹  lim⁡1sn=0(1)\lim s_n = +\infty \implies \lim\frac1{s_n} = 0 \tag{1}lim⁡1sn=0  ⟹  lim⁡sn=+∞.(2)\lim\frac1{s_n} = 0 \implies \lim s_n = +\infty. \tag{2}

The two proofs look alike, but the thought processes are quite different.

(1) Suppose lim⁡sn=+∞\lim s_n = +\infty. Let ε>0\varepsilon > 0 and M=1εM = \frac1\varepsilon. There is NN with sn>M=1εs_n > M = \frac1\varepsilon for n>Nn > N. Then n>Nn > N implies ε>1sn>0\varepsilon > \frac1{s_n} > 0, so ∣1sn−0∣<ε\left|\frac1{s_n} - 0\right| < \varepsilon.

(2) Starting afresh, suppose lim⁡1sn=0\lim \frac1{s_n} = 0. Let M>0M > 0 and ε=1M\varepsilon = \frac1M. There is NN with ∣1sn−0∣<1M\left|\frac1{s_n} - 0\right| < \frac1M for n>Nn > N. Since sn>0s_n > 0, this says 0<1sn<1M0 < \frac1{s_n} < \frac1M, so sn>Ms_n > M.

∎

Reading alongside Abbott

Abbott’s Section 2.3 proves the same rules as one “Algebraic Limit Theorem”, and adds an “Order Limit Theorem” that collects the facts about inequalities found here in Exercises 8.9 and 9.9.

The idea behind Theorem 9.1: the tail is trapped near the limit, and a finite list has a largest member.

Put the proof in order: Convergent sequences are bounded (Theorem 9.1)

These are the steps of the proof, shuffled. Use the buttons to move each step into place, then check.

  1. Let (sn)(s_n) converge to ss. Apply the definition of convergence with ε=1\varepsilon = 1: there is NN such that ∣sn−s∣<1|s_n - s| < 1 for all n>Nn > N.
  2. For n>Nn > N the triangle inequality gives ∣sn∣≤∣s∣+∣sn−s∣<∣s∣+1|s_n| \le |s| + |s_n - s| < |s| + 1.
  3. That controls every term after the NNth; only the finitely many terms s1,…,sNs_1, \dots, s_N are left over.
  4. Set M=max⁡{∣s∣+1, ∣s1∣, …, ∣sN∣}M = \max\{|s| + 1,\ |s_1|,\ \dots,\ |s_N|\}.
  5. Then ∣sn∣≤M|s_n| \le M for every nn, so (sn)(s_n) is bounded.

The proof of the sum rule (Theorem 9.3), with the key choices left blank.

Fill in the gaps: Limit of a sum (Theorem 9.3)

This is the skeleton of the proof. In each gap choose the option that makes the argument work, then check.

  1. Let sn→ss_n \to s and tn→tt_n \to t, and let ε>0\varepsilon > 0.
  2. Since sn→ss_n \to s, there is N1N_1 with ∣sn−s∣<|s_n - s| < for n>N1n > N_1. In the same way there is N2N_2 with ∣tn−t∣<|t_n - t| < the same bound for n>N2n > N_2.
  3. Let N=N = . Then for n>Nn > N both estimates hold.
  4. For n>Nn > N, is an upper bound for ∣(sn+tn)−(s+t)∣|(s_n + t_n) - (s + t)|, and it is less than ε2+ε2=ε\frac\varepsilon2 + \frac\varepsilon2 = \varepsilon.

    Limit laws come with hypotheses. Find the line that ignores one.

    Spot the error: a limit with a square root

    One line of this argument is wrong. Press the button on the line you think is the mistake.

    1. Claim: lim⁡(n2+n−n)=0\lim\left(\sqrt{n^2 + n} - n\right) = 0.
    2. Both n2+n\sqrt{n^2 + n} and nn tend to +∞+\infty.
    3. So lim⁡(n2+n−n)=lim⁡n2+n−lim⁡n=∞−∞=0\lim\left(\sqrt{n^2 + n} - n\right) = \lim\sqrt{n^2 + n} - \lim n = \infty - \infty = 0.
    4. Hence the limit is 00.

    Now write a proof yourself. Each line you type is checked against a few allowed moves.

    Write the proof: a sum of convergent sequences
    Take the quiz (3 questions)

    Suppose (sn)(s_n) is bounded. Must (sn)(s_n) converge?

    What is lim⁡3n2+1n2+5n\lim \frac{3n^2 + 1}{n^2 + 5n}?

    Suppose lim⁡sn=+∞\lim s_n = +\infty and lim⁡tn=0\lim t_n = 0. What is lim⁡sntn\lim s_n t_n?

    Exercise 9.1

    Using the limit Theorems 9.2–9.7, prove the following. Justify all steps.

    1. lim⁡n+1n=1\lim \dfrac{n+1}{n} = 1
    2. lim⁡3n+76n−5=12\lim \dfrac{3n+7}{6n-5} = \dfrac12
    3. lim⁡17n5+73n4−18n2+323n5+13n3=1723\lim \dfrac{17n^5 + 73n^4 - 18n^2 + 3}{23n^5 + 13n^3} = \dfrac{17}{23}
    Hint

    Divide numerator and denominator by the highest power of nn in the denominator, then use 9.7(a), 9.2, 9.3 and 9.6.

    Solution

    We use lim⁡1n=0\lim \frac1n = 0 (Theorem 9.7(a)), and note that 1nk=(1n)k→0\frac1{n^k} = \left(\frac1n\right)^k \to 0 for each k∈Nk \in \mathbb{N} by repeated use of Theorem 9.4.

    1. n+1n=1+1n→1+0=1\dfrac{n+1}{n} = 1 + \dfrac1n \to 1 + 0 = 1 by Theorem 9.3.
    2. Dividing top and bottom by nn, 3n+76n−5=3+7⋅1n6−5⋅1n\dfrac{3n+7}{6n-5} = \dfrac{3 + 7\cdot\frac1n}{6 - 5\cdot\frac1n}. By Theorems 9.2 and 9.3 the numerator tends to 33 and the denominator to 6≠06 \neq 0, so Theorem 9.6 gives the limit 36=12\frac36 = \frac12.
    3. Dividing top and bottom by n5n^5, the fraction is 17+73⋅1n−18⋅1n3+3⋅1n523+13⋅1n2.\frac{17 + 73\cdot\frac1n - 18\cdot\frac1{n^3} + 3\cdot\frac1{n^5}}{23 + 13\cdot\frac1{n^2}}. The numerator tends to 1717, the denominator to 23≠023 \ne 0 (Theorems 9.2, 9.3 and the remark above), so the quotient tends to 1723\frac{17}{23} by Theorem 9.6.

    Tags: Warm-upLimit laws

    Exercise 9.2

    Suppose lim⁡xn=3\lim x_n = 3, lim⁡yn=7\lim y_n = 7 and all yny_n are nonzero. Determine:

    1. lim⁡(xn+yn)\lim(x_n + y_n)
    2. lim⁡3yn−xnyn2\lim \dfrac{3y_n - x_n}{y_n^2}
    Solution

    (a) 1010 (b) 21−349=1849\dfrac{21 - 3}{49} = \dfrac{18}{49}

    Tags: Warm-upLimit laws

    Exercise 9.3

    Suppose lim⁡an=a\lim a_n = a, lim⁡bn=b\lim b_n = b, and sn=an3+4anbn2+1s_n = \dfrac{a_n^3 + 4a_n}{b_n^2 + 1}. Prove lim⁡sn=a3+4ab2+1\lim s_n = \dfrac{a^3 + 4a}{b^2 + 1} carefully, using the limit theorems.

    Hint

    an3=an⋅an⋅ana_n^3 = a_n \cdot a_n \cdot a_n (Theorem 9.4 twice). The denominators bn2+1b_n^2 + 1 are never 00 and tend to b2+1≠0b^2 + 1 \ne 0.

    Solution

    By Theorem 9.4 (applied twice), an3=an⋅an⋅an→a3a_n^3 = a_n \cdot a_n \cdot a_n \to a^3, and 4an→4a4a_n \to 4a (Theorem 9.2), so by Theorem 9.3 the numerator tends to a3+4aa^3 + 4a. Similarly bn2→b2b_n^2 \to b^2, so bn2+1→b2+1b_n^2 + 1 \to b^2 + 1. Each bn2+1≥1b_n^2 + 1 \ge 1 is nonzero and the limit b2+1≥1b^2 + 1 \ge 1 is nonzero, so Theorem 9.6 applies and lim⁡sn=a3+4ab2+1.\lim s_n = \frac{a^3 + 4a}{b^2 + 1}.

    Tags: StandardLimit laws

    Exercise 9.4

    Let s1=1s_1 = 1 and sn+1=sn+1s_{n+1} = \sqrt{s_n + 1} for n≥1n \ge 1.

    1. List the first four terms of (sn)(s_n).
    2. It turns out that (sn)(s_n) converges. Assume this and prove the limit is 12(1+5)\frac12(1 + \sqrt5).
    Solution

    (a) 1,2,2+1,2+1+11, \sqrt2, \sqrt{\sqrt2 + 1}, \sqrt{\sqrt{\sqrt2+1}+1}, approximately 1,1.4142,1.5538,1.59811, 1.4142, 1.5538, 1.5981. (b) If s=lim⁡sns = \lim s_n, then lim⁡sn+1=s\lim s_{n+1} = s too, and by Example 5 of §8, s=s+1s = \sqrt{s + 1}. So s2−s−1=0s^2 - s - 1 = 0 and s=1±52s = \frac{1 \pm \sqrt5}{2}. Since sn≥1s_n \ge 1, s≥1s \ge 1 (Exercise 8.9), so s=1+52s = \frac{1 + \sqrt5}{2}.

    Tags: StandardLimit lawsComputation

    Exercise 9.5

    Let t1=1t_1 = 1 and tn+1=tn2+22tnt_{n+1} = \dfrac{t_n^2 + 2}{2t_n} for n≥1n \ge 1. Assume (tn)(t_n) converges and find the limit.

    Solution

    The limit tt satisfies t=t2+22tt = \frac{t^2+2}{2t}, so t2=2t^2 = 2. All tn>0t_n > 0, so t=2t = \sqrt2. (This is Newton’s method for x2−2x^2 - 2; compare §10.)

    Tags: Warm-upLimit lawsComputation

    Exercise 9.6

    Let x1=1x_1 = 1 and xn+1=3xn2x_{n+1} = 3x_n^2 for n≥1n \ge 1.

    1. Show that if a=lim⁡xna = \lim x_n, then a=13a = \frac13 or a=0a = 0.
    2. Does lim⁡xn\lim x_n exist? Explain.
    3. Discuss the apparent contradiction between parts (a) and (b).
    Solution

    (a) a=3a2a = 3a^2. (b) xn=32n−1−1x_n = 3^{2^{n-1} - 1}, so lim⁡xn=+∞\lim x_n = +\infty. (c) Part (a) only shows if the sequence converges, its limit must be 00 or 13\frac13. It does not show the sequence converges, and it doesn’t.

    Tags: StandardLimit lawsExplain why

    Exercise 9.7

    Complete the proof of Theorem 9.7(c), i.e. give the standard argument needed to show lim⁡sn=0\lim s_n = 0.

    Hint

    Given ε>0\varepsilon > 0, 2n−1<ε\sqrt{\frac{2}{n-1}} < \varepsilon when n>1+2ε2n > 1 + \frac2{\varepsilon^2}. Take N=1+2ε2N = 1 + \frac{2}{\varepsilon^2}.

    Solution

    Let ε>0\varepsilon > 0 and put N=1+2ε2N = 1 + \frac{2}{\varepsilon^2}. If n>Nn > N then n−1>2ε2n - 1 > \frac{2}{\varepsilon^2}, so 2n−1<ε2\frac{2}{n-1} < \varepsilon^2 and 2n−1<ε\sqrt{\frac{2}{n-1}} < \varepsilon. In the proof of (c) we have 0≤sn≤2n−10 \le s_n \le \sqrt{\frac{2}{n-1}}, so ∣sn−0∣<ε|s_n - 0| < \varepsilon for all n>Nn > N. Hence lim⁡sn=0\lim s_n = 0.

    Tags: Standardε–N / ε–δ

    Used in Theorem 9.7

    Exercise 9.8

    Give the following when they exist. Otherwise assert “NOT EXIST.”

    1. lim⁡n3\lim n^3
    2. lim⁡(−n3)\lim(-n^3)
    3. lim⁡(−n)n\lim(-n)^n
    4. lim⁡(1.01)n\lim(1.01)^n
    5. lim⁡nn\lim n^n
    Solution
    1. +∞+\infty
    2. −∞-\infty
    3. NOT EXIST
    4. +∞+\infty
    5. +∞+\infty

    Tags: Warm-upComputation

    Exercise 9.9

    Suppose there is N0N_0 such that sn≤tns_n \le t_n for all n>N0n > N_0.

    1. Prove that if lim⁡sn=+∞\lim s_n = +\infty, then lim⁡tn=+∞\lim t_n = +\infty.
    2. Prove that if lim⁡tn=−∞\lim t_n = -\infty, then lim⁡sn=−∞\lim s_n = -\infty.
    3. Prove that if lim⁡sn\lim s_n and lim⁡tn\lim t_n exist, then lim⁡sn≤lim⁡tn\lim s_n \le \lim t_n.
    Hint

    For (c), if both limits are finite, apply Exercise 8.9 to tn−sn≥0t_n - s_n \ge 0. The infinite cases follow from (a) and (b).

    Solution
    1. Let M∈RM \in \mathbb{R}. Choose N1N_1 with sn>Ms_n > M for n>N1n > N_1. For n>max⁡{N0,N1}n > \max\{N_0, N_1\} we get tn≥sn>Mt_n \ge s_n > M. So tn→+∞t_n \to +\infty.
    2. Let M∈RM \in \mathbb{R}. Choose N1N_1 with tn<Mt_n < M for n>N1n > N_1. For n>max⁡{N0,N1}n > \max\{N_0, N_1\}, sn≤tn<Ms_n \le t_n < M. So sn→−∞s_n \to -\infty.
    3. If lim⁡sn=+∞\lim s_n = +\infty, then lim⁡tn=+∞\lim t_n = +\infty by (a), so the inequality holds; likewise it holds if lim⁡tn=−∞\lim t_n = -\infty by (b), and trivially if lim⁡sn=−∞\lim s_n = -\infty or lim⁡tn=+∞\lim t_n = +\infty. The remaining case is that both limits are finite, say sn→ss_n \to s and tn→tt_n \to t. Suppose t<st < s and let ε=s−t2\varepsilon = \frac{s - t}{2}. For large nn we have sn>s−εs_n > s - \varepsilon and tn<t+ε=s−εt_n < t + \varepsilon = s - \varepsilon, so tn<snt_n < s_n, contradicting sn≤tns_n \le t_n. Hence s≤ts \le t.

    Tags: Standardε–N / ε–δ

    Used in Exercise 9.16, Exercise 12.1, Exercise 12.4, Exercise 12.8

    Exercise 9.10
    1. Show that if lim⁡sn=+∞\lim s_n = +\infty and k>0k > 0, then lim⁡(ksn)=+∞\lim(ks_n) = +\infty.
    2. Show lim⁡sn=+∞\lim s_n = +\infty if and only if lim⁡(−sn)=−∞\lim(-s_n) = -\infty.
    3. Show that if lim⁡sn=+∞\lim s_n = +\infty and k<0k < 0, then lim⁡(ksn)=−∞\lim(ks_n) = -\infty.
    Solution
    1. Let M>0M > 0. Since sn→+∞s_n \to +\infty, there is NN with sn>M/ks_n > M/k for n>Nn > N. Then ksn>Mks_n > M for n>Nn > N.
    2. lim⁡sn=+∞\lim s_n = +\infty means: for every MM there is NN with sn>Ms_n > M for n>Nn > N. Replacing MM by −M-M (which ranges over all reals as MM does), this says: for every MM there is NN with −sn<M-s_n < M for n>Nn > N, which is lim⁡(−sn)=−∞\lim(-s_n) = -\infty.
    3. Since −k>0-k > 0, part (a) gives (−k)sn→+∞(-k)s_n \to +\infty, and then part (b) gives ksn=−((−k)sn)→−∞ks_n = -\bigl((-k)s_n\bigr) \to -\infty.

    Tags: Standardε–N / ε–δ

    Used in Exercise 10.5, Exercise 11.8

    Exercise 9.11
    1. Show that if lim⁡sn=+∞\lim s_n = +\infty and inf⁡{tn:n∈N}>−∞\inf\{t_n : n \in \mathbb{N}\} > -\infty, then lim⁡(sn+tn)=+∞\lim(s_n + t_n) = +\infty.
    2. Show that if lim⁡sn=+∞\lim s_n = +\infty and lim⁡tn>−∞\lim t_n > -\infty, then lim⁡(sn+tn)=+∞\lim(s_n + t_n) = +\infty.
    3. Show that if lim⁡sn=+∞\lim s_n = +\infty and (tn)(t_n) is bounded, then lim⁡(sn+tn)=+∞\lim(s_n + t_n) = +\infty.
    Hint

    (a) Let m=inf⁡tnm = \inf t_n. Given MM, make sn>M−ms_n > M - m. (b) If lim⁡tn>−∞\lim t_n > -\infty, then (tn)(t_n) is bounded below (use Exercise 8.10 for the tail and handle the finitely many early terms separately).

    Solution
    1. Let m=inf⁡{tn}m = \inf\{t_n\}, a real number. Given MM, choose NN with sn>M−ms_n > M - m for n>Nn > N. Then sn+tn≥sn+m>Ms_n + t_n \ge s_n + m > M.
    2. If lim⁡tn>−∞\lim t_n > -\infty, pick a real c<lim⁡tnc < \lim t_n. Then tn>ct_n > c for n>N1n > N_1 (Exercise 8.10), and the finitely many terms t1,…,tN1t_1, \dots, t_{N_1} have a minimum, so inf⁡{tn}≥min⁡{c,t1,…,tN1}>−∞\inf\{t_n\} \ge \min\{c, t_1, \dots, t_{N_1}\} > -\infty. Now apply (a).
    3. A bounded sequence has inf⁡{tn}>−∞\inf\{t_n\} > -\infty, so (a) applies.

    Tags: Standardε–N / ε–δ

    Used in Exercise 9.16

    Exercise 9.12

    Assume all sn≠0s_n \ne 0 and that the limit L=lim⁡∣sn+1sn∣L = \lim \left|\dfrac{s_{n+1}}{s_n}\right| exists. (This exercise is referred to in several places.)

    1. Show that if L<1L < 1, then lim⁡sn=0\lim s_n = 0.
    2. Show that if L>1L > 1, then lim⁡∣sn∣=+∞\lim |s_n| = +\infty.
    Hint

    (a) Select aa with L<a<1L < a < 1 and NN with ∣sn+1∣<a∣sn∣|s_{n+1}| < a|s_n| for n≥Nn \ge N. Then ∣sn∣<an−N∣sN∣|s_n| < a^{n-N}|s_N| for n>Nn > N. (b) Apply (a) to tn=1∣sn∣t_n = \frac1{|s_n|} and use Theorem 9.10.

    Solution
    1. Since L≥0L \ge 0, pick aa with L<a<1L < a < 1 (so 0<a<10 < a < 1). Because ∣sn+1sn∣→L<a\left|\frac{s_{n+1}}{s_n}\right| \to L < a, there is NN with ∣sn+1∣<a∣sn∣|s_{n+1}| < a|s_n| for n≥Nn \ge N. By induction, ∣sn∣<an−N∣sN∣|s_n| < a^{n-N}|s_N| for n>Nn > N, that is, ∣sn∣<Can|s_n| < C a^n with C=∣sN∣a−NC = |s_N|a^{-N}. Since an→0a^n \to 0 (Theorem 9.7(b)), ∣sn∣→0|s_n| \to 0 by squeezing, and sn→0s_n \to 0.
    2. Let tn=1∣sn∣t_n = \frac1{|s_n|}. Then ∣tn+1tn∣=∣snsn+1∣→1L<1\left|\frac{t_{n+1}}{t_n}\right| = \left|\frac{s_n}{s_{n+1}}\right| \to \frac1L < 1 (including the case L=+∞L = +\infty, where the limit is 00). By (a), tn→0t_n \to 0, and since tn>0t_n > 0, Theorem 9.10 gives ∣sn∣→+∞|s_n| \to +\infty.

    Tags: Challengeε–N / ε–δInequalities

    Used in Exercise 9.14, Exercise 9.15

    Exercise 9.13

    Show

    lim⁡n→∞an={0if ∣a∣<11if a=1+∞if a>1does not existif a≤−1.\lim_{n\to\infty} a^n = \begin{cases} 0 & \text{if } |a| < 1 \\ 1 & \text{if } a = 1 \\ +\infty & \text{if } a > 1 \\ \text{does not exist} & \text{if } a \le -1. \end{cases}
    Solution

    ∣a∣<1|a| < 1: Theorem 9.7(b). a=1a = 1: the sequence is constantly 11.

    a>1a > 1: (1/a)n→0(1/a)^n \to 0 by Theorem 9.7(b), and these terms are positive, so Theorem 9.10 gives an=1/(1/a)n→+∞a^n = 1/(1/a)^n \to +\infty.

    a≤−1a \le -1: the even terms satisfy a2k=∣a∣2k≥1a^{2k} = |a|^{2k} \ge 1 and the odd terms satisfy a2k+1≤−1a^{2k+1} \le -1. A finite limit LL would force L≥1L \ge 1 (from the even terms) and L≤−1L \le -1 (from the odd terms), which is impossible. The limit cannot be +∞+\infty since the odd terms are never positive, nor −∞-\infty since the even terms are never negative. So lim⁡an\lim a^n does not exist.

    Tags: StandardLimit laws

    Exercise 9.14

    Let p>0p > 0. Use Exercise 9.12 to show

    lim⁡n→∞annp={0if ∣a∣≤1+∞if a>1does not existif a<−1.\lim_{n\to\infty} \frac{a^n}{n^p} = \begin{cases} 0 & \text{if } |a| \le 1 \\ +\infty & \text{if } a > 1 \\ \text{does not exist} & \text{if } a < -1. \end{cases}
    Hint

    For a≠0a \ne 0, ∣an+1/(n+1)pan/np∣=∣a∣(nn+1)p→∣a∣\left|\frac{a^{n+1}/(n+1)^p}{a^n/n^p}\right| = |a|\left(\frac{n}{n+1}\right)^p \to |a|. For ∣a∣=1|a| = 1 use 9.7(a) directly. For a>1a > 1, use Exercise 9.12(b).

    Solution

    a=0a = 0: every term is 00.

    0<∣a∣≤10 < |a| \le 1: ∣annp∣≤1np→0\left|\frac{a^n}{n^p}\right| \le \frac1{n^p} \to 0 (Theorem 9.7(a)), so annp→0\frac{a^n}{n^p} \to 0 by squeezing.

    ∣a∣>1|a| > 1: let sn=annp≠0s_n = \frac{a^n}{n^p} \ne 0. Then ∣sn+1sn∣=∣a∣(nn+1)p.\left|\frac{s_{n+1}}{s_n}\right| = |a|\left(\frac{n}{n+1}\right)^p . Choose an integer k≥pk \ge p. Since 0<nn+1<10 < \frac n{n+1} < 1, we have (nn+1)k≤(nn+1)p≤1\left(\frac n{n+1}\right)^k \le \left(\frac n{n+1}\right)^p \le 1, and (nn+1)k=(11+1/n)k→1\left(\frac n{n+1}\right)^k = \left(\frac1{1+1/n}\right)^k \to 1 by the limit theorems. So the middle term tends to 11 and the ratio tends to ∣a∣>1|a| > 1. Exercise 9.12(b) gives ∣sn∣→+∞|s_n| \to +\infty. If a>1a > 1 the terms are positive, so sn→+∞s_n \to +\infty. If a<−1a < -1, the even terms tend to +∞+\infty and the odd terms to −∞-\infty, so the limit does not exist.

    Tags: StandardLimit laws

    Used in Exercise 9.16

    Exercise 9.15

    Show lim⁡n→∞ann!=0\lim_{n\to\infty} \dfrac{a^n}{n!} = 0 for all a∈Ra \in \mathbb{R}.

    Hint

    The ratio of consecutive terms is ∣a∣n+1→0\frac{|a|}{n+1} \to 0. Apply Exercise 9.12(a).

    Solution

    For a=0a = 0 every term is 00. Otherwise let sn=ann!≠0s_n = \frac{a^n}{n!} \ne 0. Then ∣sn+1sn∣=∣a∣n+1→0<1\left|\frac{s_{n+1}}{s_n}\right| = \frac{|a|}{n+1} \to 0 < 1, so sn→0s_n \to 0 by Exercise 9.12(a).

    Tags: StandardLimit laws

    Used in Exercise 9.16, §16

    Exercise 9.16

    Use Theorems 9.9 and 9.10 or Exercises 9.9–9.15 to prove the following:

    1. lim⁡n4+8nn2+9=+∞\lim \dfrac{n^4 + 8n}{n^2 + 9} = +\infty
    2. lim⁡[2nn2+(−1)n]=+∞\lim\left[\dfrac{2^n}{n^2} + (-1)^n\right] = +\infty
    3. lim⁡[3nn3−3nn!]=+∞\lim\left[\dfrac{3^n}{n^3} - \dfrac{3^n}{n!}\right] = +\infty
    Solution
    1. Write n4+8nn2+9=n2⋅1+8/n31+9/n2\dfrac{n^4+8n}{n^2+9} = n^2 \cdot \dfrac{1 + 8/n^3}{1 + 9/n^2}. Here n2≥nn^2 \ge n, so n2→+∞n^2 \to +\infty, and the second factor tends to 1>01 > 0. Theorem 9.9 gives +∞+\infty.
    2. By Exercise 9.14 (with a=2a = 2, p=2p = 2), 2nn2→+∞\frac{2^n}{n^2} \to +\infty. The sequence (−1)n(-1)^n is bounded, so Exercise 9.11(c) gives lim⁡[2nn2+(−1)n]=+∞\lim\left[\frac{2^n}{n^2} + (-1)^n\right] = +\infty.
    3. By Exercise 9.14, 3nn3→+∞\frac{3^n}{n^3} \to +\infty; by Exercise 9.15, 3nn!→0\frac{3^n}{n!} \to 0, so −3nn!→0>−∞-\frac{3^n}{n!} \to 0 > -\infty. Exercise 9.11(b) gives the limit +∞+\infty.

    Tags: StandardLimit laws

    Exercise 9.17

    Give a formal proof that lim⁡n2=+∞\lim n^2 = +\infty using only Definition 9.8.

    Solution

    Let M>0M > 0 and N=MN = \sqrt M. Then n>Nn > N implies n2>Mn^2 > M.

    Tags: Warm-upε–N / ε–δ

    Exercise 9.18
    1. Verify 1+a+a2+⋯+an=1−an+11−a1 + a + a^2 + \cdots + a^n = \dfrac{1 - a^{n+1}}{1 - a} for a≠1a \ne 1.
    2. Find lim⁡n→∞(1+a+a2+⋯+an)\lim_{n\to\infty}(1 + a + a^2 + \cdots + a^n) for ∣a∣<1|a| < 1.
    3. Calculate lim⁡n→∞(1+13+19+127+⋯+13n)\lim_{n\to\infty}\left(1 + \frac13 + \frac19 + \frac1{27} + \cdots + \frac1{3^n}\right).
    4. What is lim⁡n→∞(1+a+a2+⋯+an)\lim_{n\to\infty}(1 + a + a^2 + \cdots + a^n) for a≥1a \ge 1?
    Solution

    (a) Multiply by 1−a1 - a; the sum telescopes. (b) 11−a\dfrac1{1-a}, since an+1→0a^{n+1} \to 0. (c) 11−1/3=32\dfrac{1}{1 - 1/3} = \dfrac32. (d) +∞+\infty.

    Tags: StandardLimit lawsComputation

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