This section proves the familiar rules for computing limits . First: a sequence ( s n ) (s_n) is bounded if { s n : n ∈ N } \{s_n : n \in \mathbb{N}\} is a bounded set, i.e. there is a constant M M with ∣ s n ∣ ≤ M |s_n| \le M for all n n .
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.
Proof Let s = lim s n s = \lim s_n . Applying Definition 7.1 with ε = 1 \varepsilon = 1 , there is N ∈ N N \in \mathbb{N} with ∣ s n − s ∣ < 1 |s_n - s| < 1 for n > N n > N , so ∣ s n ∣ < ∣ s ∣ + 1 |s_n| < |s| + 1 for n > N n > N by the Triangle Inequality.
Let M = max { ∣ s ∣ + 1 , ∣ s 1 ∣ , ∣ s 2 ∣ , … , ∣ s N ∣ } M = \max\{|s| + 1, |s_1|, |s_2|, \dots, |s_N|\} . Then ∣ s n ∣ ≤ M |s_n| \le M for all n n .
∎
The proof used the definition of limit for just one value of ε \varepsilon , and the choice ε = 1 \varepsilon = 1 was arbitrary.
Proof The case k = 0 k = 0 is trivial, so assume k ≠ 0 k \ne 0 . Let ε > 0 \varepsilon > 0 . There is N N with ∣ s n − s ∣ < ε ∣ k ∣ |s_n - s| < \frac{\varepsilon}{|k|} for n > N n > N . Then n > N n > N implies ∣ k s n − k s ∣ < ε |ks_n - ks| < \varepsilon .
∎
Proof Let ε > 0 \varepsilon > 0 . Note ∣ s n + t n − ( s + t ) ∣ ≤ ∣ s n − s ∣ + ∣ t n − t ∣ |s_n + t_n - (s + t)| \le |s_n - s| + |t_n - t| . Choose N 1 N_1 with ∣ s n − s ∣ < ε 2 |s_n - s| < \frac\varepsilon2 for n > N 1 n > N_1 and N 2 N_2 with ∣ t n − t ∣ < ε 2 |t_n - t| < \frac\varepsilon2 for n > N 2 n > N_2 .
With N = max { N 1 , N 2 } N = \max\{N_1, N_2\} , n > N n > N implies ∣ s n + t n − ( s + t ) ∣ < ε 2 + ε 2 = ε |s_n + t_n - (s + t)| < \frac\varepsilon2 + \frac\varepsilon2 = \varepsilon .
∎
Discussion. The trick is to add and subtract s n t s_n t :
∣ s n t n − s t ∣ = ∣ s n t n − s n t + s n t − s t ∣ ≤ ∣ s n ∣ ⋅ ∣ t n − t ∣ + ∣ t ∣ ⋅ ∣ s n − 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 n n , ∣ t n − t ∣ |t_n - t| and ∣ s n − s ∣ |s_n - s| are small, and ∣ t ∣ |t| is a constant. Theorem 9.1 says ∣ s n ∣ |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 > 0 M > 0 with ∣ s n ∣ ≤ M |s_n| \le M for all n n . Choose N 1 N_1 with ∣ t n − t ∣ < ε 2 M |t_n - t| < \frac{\varepsilon}{2M} for n > N 1 n > N_1 , and N 2 N_2 with ∣ s n − s ∣ < ε 2 ( ∣ t ∣ + 1 ) |s_n - s| < \frac{\varepsilon}{2(|t| + 1)} for n > N 2 n > N_2 .
(We use 2 ( ∣ t ∣ + 1 ) 2(|t| + 1) rather than 2 ∣ t ∣ 2|t| because t t could be 0 0 .) For n > max { N 1 , N 2 } n > \max\{N_1, N_2\} ,
∣ s n t n − s t ∣ ≤ M ⋅ ε 2 M + ∣ t ∣ ⋅ ε 2 ( ∣ t ∣ + 1 ) < ε 2 + ε 2 = ε . |s_n t_n - st| \le M \cdot \frac{\varepsilon}{2M} + |t| \cdot \frac{\varepsilon}{2(|t|+1)} < \frac\varepsilon2 + \frac\varepsilon2 = \varepsilon. ∎
Intuition where the product error comes from
Write s n = s + e n s_n = s + e_n and t n = t + f n t_n = t + f_n , where the errors e n e_n and f n f_n tend to 0 0 . Then
s n t n − s t = s f n + t e n + e n f n . 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 ∣ s n ∣ ≤ M |s_n| \le M from Theorem 9.1 so that only two pieces are needed.
The widget below runs these two proofs with numbers. For a given ε \varepsilon it finds the N 1 N_1 and N 2 N_2 the proof asks for and takes N = max { N 1 , N 2 } N = \max\{N_1, N_2\} . It also shows the smallest N N that actually works, which is often much smaller: a proof only needs some N N .
Theorem 9.3: lim (sₙ + tₙ) = s + t 9.4: lim (sₙ tₙ) = s t sₙ 1 + 1/n → 1 2 + (−1)ⁿ/√n → 2 (3n + 1)/(7n − 4) → 3/7 tₙ (−1)ⁿ/n → 0 3 − 2/n → 3 n^(1/n) → 1 ε 0.320
sₙ + tₙ inside the ε-band outside the band N₁ (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.
If ( s n ) (s_n) converges to s s , s n ≠ 0 s_n \ne 0 for all n n , and s ≠ 0 s \ne 0 , then ( 1 / s n ) (1/s_n) converges to 1 / s 1/s .
Used in Theorem 9.6 , Theorem 9.7 , Theorem 12.1
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Discussion. 1 s n − 1 s = s − s n s n s \frac1{s_n} - \frac1s = \frac{s - s_n}{s_n s} . The numerator is small for large n n . The only danger is a small denominator, and Example 6 of §8 rules that out: m = inf { ∣ s n ∣ : n ∈ N } > 0 m = \inf\{|s_n| : n \in \mathbb{N}\} > 0 . So ∣ 1 s n − 1 s ∣ ≤ ∣ s − s n ∣ 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 > 0 m > 0 with ∣ s n ∣ ≥ m |s_n| \ge m for all n n . Choose N N with ∣ s − s n ∣ < ε ⋅ m ∣ s ∣ |s - s_n| < \varepsilon \cdot m|s| for n > N n > N . Then n > N n > N implies
∣ 1 s n − 1 s ∣ = ∣ s − s n ∣ ∣ s n s ∣ ≤ ∣ s − s n ∣ m ∣ s ∣ < ε . \left| \frac1{s_n} - \frac1s \right| = \frac{|s - s_n|}{|s_n s|} \le \frac{|s - s_n|}{m|s|} < \varepsilon. ∎
Suppose ( s n ) (s_n) converges to s s and ( t n ) (t_n) converges to t t . If s ≠ 0 s \ne 0 and s n ≠ 0 s_n \ne 0 for all n n , then ( t n / s n ) (t_n/s_n) converges to t / s t/s .
Used in Exercise 9.1 , Exercise 9.3 , Theorem 17.4
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Proof By Lemma 9.5 , ( 1 / s n ) (1/s_n) converges to 1 / s 1/s , so by Theorem 9.4 , lim t n s n = lim 1 s n ⋅ t n = 1 s ⋅ t = t s \lim \frac{t_n}{s_n} = \lim \frac1{s_n} \cdot t_n = \frac1s \cdot t = \frac ts .
∎
Common pitfall check the hypotheses first
The theorems need both limits to exist as real numbers. With s n = ( − 1 ) n s_n = (-1)^n and t n = − ( − 1 ) n t_n = -(-1)^n , the sum s n + t n = 0 s_n + t_n = 0 converges although neither sequence does. So “lim ( s n + t n ) = lim s n + lim t n \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 s n ≠ 0 \lim s_n \ne 0 . When the denominator tends to 0 0 , rewrite the quotient first, as in Examples 2 and 3 below.
Limits preserve ≤ \le but not < < . Every term of 1 n \frac1n is positive, yet lim 1 n = 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) .
lim n → ∞ 1 n p = 0 \lim_{n\to\infty} \dfrac1{n^p} = 0 for p > 0 p > 0 .
lim n → ∞ a n = 0 \lim_{n\to\infty} a^n = 0 if ∣ a ∣ < 1 |a| < 1 .
lim n 1 / n = 1 \lim n^{1/n} = 1 .
lim n → ∞ a 1 / n = 1 \lim_{n\to\infty} a^{1/n} = 1 for a > 0 a > 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
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Proof (a) Let ε > 0 \varepsilon > 0 and N = ( 1 / ε ) 1 / p N = (1/\varepsilon)^{1/p} . Then n > N n > N implies n p > 1 ε n^p > \frac1\varepsilon , so 0 < 1 n p < ε 0 < \frac1{n^p} < \varepsilon . (The meaning of n p n^p for non-integer p p is discussed in §37.)
(b) We may assume a ≠ 0 a \ne 0 . Since ∣ a ∣ < 1 |a| < 1 , write ∣ a ∣ = 1 1 + b |a| = \frac1{1+b} with b > 0 b > 0 . By the binomial theorem (Exercise 1.12 ), ( 1 + b ) n ≥ 1 + n b > n b (1 + b)^n \ge 1 + nb > nb , so ∣ a n − 0 ∣ = 1 ( 1 + b ) n < 1 n b |a^n - 0| = \frac1{(1+b)^n} < \frac1{nb} .
Given ε > 0 \varepsilon > 0 , let N = 1 ε b N = \frac1{\varepsilon b} . Then n > N n > N implies ∣ a n − 0 ∣ < 1 n b < ε |a^n - 0| < \frac1{nb} < \varepsilon .
(c) Let s n = n 1 / n − 1 ≥ 0 s_n = n^{1/n} - 1 \ge 0 . By Theorem 9.3 it suffices to show lim s n = 0 \lim s_n = 0 . Since n = ( 1 + s n ) n n = (1 + s_n)^n , the binomial expansion gives, for n ≥ 2 n \ge 2 ,
n = ( 1 + s n ) n ≥ 1 + n s n + 1 2 n ( n − 1 ) s n 2 > 1 2 n ( n − 1 ) s n 2 . n = (1 + s_n)^n \ge 1 + ns_n + \tfrac12 n(n-1)s_n^2 > \tfrac12 n(n-1)s_n^2. So s n 2 < 2 n − 1 s_n^2 < \frac2{n-1} , i.e. s n < 2 n − 1 s_n < \sqrt{\frac2{n-1}} for n ≥ 2 n \ge 2 . A standard argument now gives lim s n = 0 \lim s_n = 0 (Exercise 9.7 ).
(d) If a ≥ 1 a \ge 1 , then for n ≥ a n \ge a we have 1 ≤ a 1 / n ≤ n 1 / n 1 \le a^{1/n} \le n^{1/n} , and (c) with the squeeze lemma (Exercise 8.5 (a)) gives lim a 1 / n = 1 \lim a^{1/n} = 1 . If 0 < a < 1 0 < a < 1 , then 1 a > 1 \frac1a > 1 , so lim ( 1 / a ) 1 / n = 1 \lim (1/a)^{1/n} = 1 , and Lemma 9.5 gives lim a 1 / n = 1 \lim a^{1/n} = 1 .
∎
Prove lim s n = 1 4 \lim s_n = \frac14 , where s n = n 3 + 6 n 2 + 7 4 n 3 + 3 n − 4 s_n = \dfrac{n^3 + 6n^2 + 7}{4n^3 + 3n - 4} .
Solution Divide by n 3 n^3 : s n = 1 + 6 n + 7 n 3 4 + 3 n 2 − 4 n 3 s_n = \dfrac{1 + \frac6n + \frac7{n^3}}{4 + \frac3{n^2} - \frac4{n^3}} . By Theorem 9.7 (a), lim 1 n = lim 1 n 2 = lim 1 n 3 = 0 \lim\frac1n = \lim\frac1{n^2} = \lim\frac1{n^3} = 0 . By Theorems 9.3 and 9.2 ,
lim ( 1 + 6 n + 7 n 3 ) = 1 \lim\left(1 + \frac6n + \frac7{n^3}\right) = 1 and lim ( 4 + 3 n 2 − 4 n 3 ) = 4 \lim\left(4 + \frac3{n^2} - \frac4{n^3}\right) = 4 . Theorem 9.6 gives lim s n = 1 4 \lim s_n = \frac14 .
∎
Find lim n − 5 n 2 + 7 \lim \dfrac{n - 5}{n^2 + 7} .
Solution Writing it as 1 − 5 / n n + 7 / n \frac{1 - 5/n}{n + 7/n} is no good, because the denominator does not converge. Instead divide by n 2 n^2 : 1 n − 5 n 2 1 + 7 n 2 \dfrac{\frac1n - \frac5{n^2}}{1 + \frac7{n^2}} . The numerator tends to 0 0 and the denominator to 1 1 , so the limit is 0 1 = 0 \frac01 = 0 .
∎
Find lim n 2 + 3 n + 1 \lim \dfrac{n^2 + 3}{n + 1} .
Solution Both n + 3 n 1 + 1 n \dfrac{n + \frac3n}{1 + \frac1n} and 1 + 3 n 2 1 n + 1 n 2 \dfrac{1 + \frac3{n^2}}{\frac1n + \frac1{n^2}} lead to trouble: either the numerator diverges or the denominator tends to 0 0 .
In fact the sequence does not converge, and lim n 2 + 3 n + 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.
∎
For a sequence ( s n ) (s_n) , we write lim s n = + ∞ \lim s_n = +\infty provided
for each M > 0 there is a number N such that n > N implies s n > 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 ( s n ) (s_n) diverges to + ∞ +\infty . Similarly, lim s n = − ∞ \lim s_n = -\infty provided for each M < 0 M < 0 there is N N such that n > N n > N implies s n < M s_n < M .
Used in Exercise 9.17
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From now on, ( s n ) (s_n) has a limit , or the limit exists , if ( s n ) (s_n) converges, diverges to + ∞ +\infty , or diverges to − ∞ -\infty .
For + ∞ +\infty the challenging values of M M are large positive numbers; for − ∞ -\infty they are “large” negative numbers like − 10,000,000,000 -10{,}000{,}000{,}000 .
lim n 2 = + ∞ \lim n^2 = +\infty , lim ( − n ) = − ∞ \lim(-n) = -\infty , lim 2 n = + ∞ \lim 2^n = +\infty and lim ( n + 7 ) = + ∞ \lim(\sqrt n + 7) = +\infty .
On the other hand s n = ( − 1 ) n n s_n = (-1)^n n and t n = n cos 2 ( n π 2 ) t_n = n\cos^2\left(\frac{n\pi}2\right) are unbounded but diverge neither to + ∞ +\infty nor to − ∞ -\infty , so lim [ ( − 1 ) n n ] \lim[(-1)^n n] and lim [ n cos 2 ( n π 2 ) ] \lim[n\cos^2(\frac{n\pi}2)] are meaningless. Note t n = n t_n = n for even n n and t n = 0 t_n = 0 for odd n n .
Proofs about infinite limits follow the same strategy as for finite limits.
Give a formal proof that lim ( n + 7 ) = + ∞ \lim(\sqrt n + 7) = +\infty .
Discussion. Given M > 0 M > 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 ) 2 n > (M - 7)^2 . So take N = ( M − 7 ) 2 N = (M - 7)^2 .
Formal Proof Let M > 0 M > 0 and N = ( M − 7 ) 2 N = (M - 7)^2 . Then n > N n > N implies n > M − 7 \sqrt n > M - 7 , hence n + 7 > M \sqrt n + 7 > M .
∎
Give a formal proof that lim n 2 + 3 n + 1 = + ∞ \lim \dfrac{n^2+3}{n+1} = +\infty (see Example 3).
Discussion. Bound the fraction below by a multiple of n 2 n = n \frac{n^2}{n} = n . Since n 2 + 3 > n 2 n^2 + 3 > n^2 and n + 1 ≤ 2 n n + 1 \le 2n , we have n 2 + 3 n + 1 > n 2 2 n = n 2 \frac{n^2+3}{n+1} > \frac{n^2}{2n} = \frac n2 , so it suffices to make n 2 > M \frac n2 > M .
Formal Proof Let M > 0 M > 0 and N = 2 M N = 2M . Then n > N n > N implies n 2 + 3 n + 1 > n 2 2 n = n 2 > M \dfrac{n^2+3}{n+1} > \dfrac{n^2}{2n} = \dfrac n2 > M .
∎
Common pitfall indeterminate forms
Knowing that one factor tends to + ∞ +\infty and the other to 0 0 tells you nothing by itself: n ⋅ 1 n → 1 n \cdot \frac1n \to 1 , n 2 ⋅ 1 n → + ∞ n^2 \cdot \frac1n \to +\infty and n ⋅ 1 n 2 → 0 n \cdot \frac1{n^2} \to 0 . Theorems 9.9 and 9.10 are the safe statements; they avoid these cases by requiring lim t n > 0 \lim t_n > 0 , or by working with reciprocals of positive terms.
Let ( s n ) (s_n) and ( t n ) (t_n) be sequences with lim s n = + ∞ \lim s_n = +\infty and lim t n > 0 \lim t_n > 0 (lim t n \lim t_n may be finite or + ∞ +\infty ). Then lim s n t n = + ∞ \lim s_n t_n = +\infty .
Used in Exercise 9.16 , Theorem 12.1
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Discussion. Given M > 0 M > 0 we need s n t n > M s_n t_n > M for large n n . We must keep the t n t_n away from 0 0 : pick m m with 0 < m < lim t n 0 < m < \lim t_n , so that t n > m t_n > m for large n n . Then it is enough to have s n > M m s_n > \frac Mm .
Proof Let M > 0 M > 0 and choose a real m m with 0 < m < lim t n 0 < m < \lim t_n . Whether or not lim t n = + ∞ \lim t_n = +\infty , there is N 1 N_1 such that n > N 1 n > N_1 implies t n > m t_n > m (Exercise 8.10 ).
Since lim s n = + ∞ \lim s_n = +\infty , there is N 2 N_2 such that n > N 2 n > N_2 implies s n > M m s_n > \frac Mm . For n > max { N 1 , N 2 } n > \max\{N_1, N_2\} , s n t n > M m ⋅ m = M s_n t_n > \frac Mm \cdot m = M .
∎
Use Theorem 9.9 to prove lim n 2 + 3 n + 1 = + ∞ \lim \dfrac{n^2+3}{n+1} = +\infty .
Solution n 2 + 3 n + 1 = n + 3 n 1 + 1 n = s n t n \dfrac{n^2+3}{n+1} = \dfrac{n + \frac3n}{1 + \frac1n} = s_n t_n with s n = n + 3 n s_n = n + \frac3n and t n = 1 1 + 1 n t_n = \dfrac1{1 + \frac1n} . Clearly lim s n = + ∞ \lim s_n = +\infty and lim t n = 1 \lim t_n = 1 , so Theorem 9.9 applies.
∎
For a sequence ( s n ) (s_n) of positive real numbers, lim s n = + ∞ \lim s_n = +\infty if and only if lim ( 1 s n ) = 0 \lim \left(\dfrac1{s_n}\right) = 0 .
Used in Exercise 9.12 , Exercise 9.13 , Exercise 9.16
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Proof We must show
lim s n = + ∞ ⟹ lim 1 s n = 0 (1) \lim s_n = +\infty \implies \lim\frac1{s_n} = 0 \tag{1} lim 1 s n = 0 ⟹ lim s n = + ∞ . (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 s n = + ∞ \lim s_n = +\infty . Let ε > 0 \varepsilon > 0 and M = 1 ε M = \frac1\varepsilon . There is N N with s n > M = 1 ε s_n > M = \frac1\varepsilon for n > N n > N . Then n > N n > N implies ε > 1 s n > 0 \varepsilon > \frac1{s_n} > 0 , so ∣ 1 s n − 0 ∣ < ε \left|\frac1{s_n} - 0\right| < \varepsilon .
(2) Starting afresh, suppose lim 1 s n = 0 \lim \frac1{s_n} = 0 . Let M > 0 M > 0 and ε = 1 M \varepsilon = \frac1M . There is N N with ∣ 1 s n − 0 ∣ < 1 M \left|\frac1{s_n} - 0\right| < \frac1M for n > N n > N . Since s n > 0 s_n > 0 , this says 0 < 1 s n < 1 M 0 < \frac1{s_n} < \frac1M , so s n > M s_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.
Let
( s n ) (s_n) converge to
s s . Apply the definition of convergence with
ε = 1 \varepsilon = 1 : there is
N N such that
∣ s n − s ∣ < 1 |s_n - s| < 1 for all
n > N n > N .For
n > N n > N the triangle inequality gives
∣ s n ∣ ≤ ∣ s ∣ + ∣ s n − s ∣ < ∣ s ∣ + 1 |s_n| \le |s| + |s_n - s| < |s| + 1 .That controls every term after the
N N th; only the finitely many terms
s 1 , … , s N s_1, \dots, s_N are left over.
Set
M = max { ∣ s ∣ + 1 , ∣ s 1 ∣ , … , ∣ s N ∣ } M = \max\{|s| + 1,\ |s_1|,\ \dots,\ |s_N|\} .Then
∣ s n ∣ ≤ M |s_n| \le M for every
n n , so
( s n ) (s_n) is bounded.
Check order Shuffle again Show the proof
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.
Let
s n → s s_n \to s and
t n → t t_n \to t , and let
ε > 0 \varepsilon > 0 .Check answers Start over Show the proof
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.
Claim:
lim ( n 2 + n − n ) = 0 \lim\left(\sqrt{n^2 + n} - n\right) = 0 .Both
n 2 + n \sqrt{n^2 + n} and
n n tend to
+ ∞ +\infty .So
lim ( n 2 + n − n ) = lim n 2 + n − lim n = ∞ − ∞ = 0 \lim\left(\sqrt{n^2 + n} - n\right) = \lim\sqrt{n^2 + n} - \lim n = \infty - \infty = 0 .The difference rule needs both limits to be real numbers, and ∞ − ∞ has no single value. Here the true limit is ½: multiply and divide by √(n² + n) + n to get n ⁄ (√(n² + n) + n) = 1 ⁄ (√(1 + 1/n) + 1) → ½. Show me the error Try again
This is a standard pitfall. See Common mistakes: Splitting a limit before you know the pieces converge .
Now write a proof yourself. Each line you type is checked against a few allowed moves.
Write the proof: a sum of convergent sequences Suppose s n → s s_n \to s and t n → t t_n \to t . Given ε > 0 \varepsilon > 0 , choose N N so that n > N n > N gives both ∣ s n − s ∣ < ε / 2 |s_n - s| < \varepsilon/2 and ∣ t n − t ∣ < ε / 2 |t_n - t| < \varepsilon/2 . Show that ∣ ( s n + t n ) − ( s + t ) ∣ < ε |(s_n + t_n) - (s + t)| < \varepsilon for n > N n > N .
Rewrite an expression with the same value, e.g. regroup terms.
∣ a + b ∣ ≤ ∣ a ∣ + ∣ b ∣ |a + b| \le |a| + |b| for all real
a , b a, b .Use the bounds you were given for
n > N n > N .Add two strict inequalities, or simplify a sum of bounds.
∣ ( s n + t n ) − ( s + t ) ∣ = ∣ ( s n − s ) + ( t n − t ) ∣ |(s_n + t_n) - (s + t)| = |(s_n - s) + (t_n - t)|
∣ ( s n − s ) + ( t n − t ) ∣ ≤ ∣ s n − s ∣ + ∣ t n − t ∣ |(s_n - s) + (t_n - t)| \le |s_n - s| + |t_n - t|
∣ s n − s ∣ < ε / 2 |s_n - s| < \varepsilon/2
∣ t n − t ∣ < ε / 2 |t_n - t| < \varepsilon/2
∣ s n − s ∣ + ∣ t n − t ∣ < ε / 2 + ε / 2 = ε |s_n - s| + |t_n - t| < \varepsilon/2 + \varepsilon/2 = \varepsilon
∣ ( s n + t n ) − ( s + t ) ∣ < ε |(s_n + t_n) - (s + t)| < \varepsilon
Equality fails:
∣ a + b ∣ = ∣ a ∣ + ∣ b ∣ |a + b| = |a| + |b| only when
a a and
b b have the same sign. In general the Triangle Inequality only gives
≤ \le .That bound is too weak: with
ε \varepsilon for each piece the total is
2 ε 2\varepsilon , not
ε \varepsilon . The choice of
N N gives
ε / 2 \varepsilon/2 .
Take the quiz (3 questions)
DoneUsing the limit Theorems 9.2 –9.7 , prove the following. Justify all steps.
lim n + 1 n = 1 \lim \dfrac{n+1}{n} = 1
lim 3 n + 7 6 n − 5 = 1 2 \lim \dfrac{3n+7}{6n-5} = \dfrac12
lim 17 n 5 + 73 n 4 − 18 n 2 + 3 23 n 5 + 13 n 3 = 17 23 \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 n n in the denominator, then use 9.7(a), 9.2, 9.3 and 9.6.
Solution We use lim 1 n = 0 \lim \frac1n = 0 (Theorem 9.7 (a)), and note that 1 n k = ( 1 n ) k → 0 \frac1{n^k} = \left(\frac1n\right)^k \to 0 for each k ∈ N k \in \mathbb{N} by repeated use of Theorem 9.4 .
n + 1 n = 1 + 1 n → 1 + 0 = 1 \dfrac{n+1}{n} = 1 + \dfrac1n \to 1 + 0 = 1 by Theorem 9.3 .
Dividing top and bottom by n n , 3 n + 7 6 n − 5 = 3 + 7 ⋅ 1 n 6 − 5 ⋅ 1 n \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 3 3 and the denominator to 6 ≠ 0 6 \neq 0 , so Theorem 9.6 gives the limit 3 6 = 1 2 \frac36 = \frac12 .
Dividing top and bottom by n 5 n^5 , the fraction is
17 + 73 ⋅ 1 n − 18 ⋅ 1 n 3 + 3 ⋅ 1 n 5 23 + 13 ⋅ 1 n 2 . \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 17 17 , the denominator to 23 ≠ 0 23 \ne 0 (Theorems 9.2 , 9.3 and the remark above), so the quotient tends to 17 23 \frac{17}{23} by Theorem 9.6 .
Tags: Warm-up Limit laws
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DoneSuppose lim x n = 3 \lim x_n = 3 , lim y n = 7 \lim y_n = 7 and all y n y_n are nonzero. Determine:
lim ( x n + y n ) \lim(x_n + y_n)
lim 3 y n − x n y n 2 \lim \dfrac{3y_n - x_n}{y_n^2}
Solution (a) 10 10 (b) 21 − 3 49 = 18 49 \dfrac{21 - 3}{49} = \dfrac{18}{49}
Tags: Warm-up Limit laws
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DoneSuppose lim a n = a \lim a_n = a , lim b n = b \lim b_n = b , and s n = a n 3 + 4 a n b n 2 + 1 s_n = \dfrac{a_n^3 + 4a_n}{b_n^2 + 1} . Prove lim s n = a 3 + 4 a b 2 + 1 \lim s_n = \dfrac{a^3 + 4a}{b^2 + 1} carefully, using the limit theorems.
Hint a n 3 = a n ⋅ a n ⋅ a n a_n^3 = a_n \cdot a_n \cdot a_n (Theorem 9.4 twice). The denominators b n 2 + 1 b_n^2 + 1 are never 0 0 and tend to b 2 + 1 ≠ 0 b^2 + 1 \ne 0 .
Solution By Theorem 9.4 (applied twice), a n 3 = a n ⋅ a n ⋅ a n → a 3 a_n^3 = a_n \cdot a_n \cdot a_n \to a^3 , and 4 a n → 4 a 4a_n \to 4a (Theorem 9.2 ), so by Theorem 9.3 the numerator tends to a 3 + 4 a a^3 + 4a . Similarly b n 2 → b 2 b_n^2 \to b^2 , so b n 2 + 1 → b 2 + 1 b_n^2 + 1 \to b^2 + 1 . Each b n 2 + 1 ≥ 1 b_n^2 + 1 \ge 1 is nonzero and the limit b 2 + 1 ≥ 1 b^2 + 1 \ge 1 is nonzero, so Theorem 9.6 applies and
lim s n = a 3 + 4 a b 2 + 1 . \lim s_n = \frac{a^3 + 4a}{b^2 + 1}.
Tags: Standard Limit laws
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DoneLet s 1 = 1 s_1 = 1 and s n + 1 = s n + 1 s_{n+1} = \sqrt{s_n + 1} for n ≥ 1 n \ge 1 .
List the first four terms of ( s n ) (s_n) .
It turns out that ( s n ) (s_n) converges. Assume this and prove the limit is 1 2 ( 1 + 5 ) \frac12(1 + \sqrt5) .
Solution (a) 1 , 2 , 2 + 1 , 2 + 1 + 1 1, \sqrt2, \sqrt{\sqrt2 + 1}, \sqrt{\sqrt{\sqrt2+1}+1} , approximately 1 , 1.4142 , 1.5538 , 1.5981 1, 1.4142, 1.5538, 1.5981 .
(b) If s = lim s n s = \lim s_n , then lim s n + 1 = s \lim s_{n+1} = s too, and by Example 5 of §8 , s = s + 1 s = \sqrt{s + 1} . So s 2 − s − 1 = 0 s^2 - s - 1 = 0 and s = 1 ± 5 2 s = \frac{1 \pm \sqrt5}{2} . Since s n ≥ 1 s_n \ge 1 , s ≥ 1 s \ge 1 (Exercise 8.9 ), so s = 1 + 5 2 s = \frac{1 + \sqrt5}{2} .
Tags: Standard Limit laws Computation
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DoneLet t 1 = 1 t_1 = 1 and t n + 1 = t n 2 + 2 2 t n t_{n+1} = \dfrac{t_n^2 + 2}{2t_n} for n ≥ 1 n \ge 1 . Assume ( t n ) (t_n) converges and find the limit.
Solution The limit t t satisfies t = t 2 + 2 2 t t = \frac{t^2+2}{2t} , so t 2 = 2 t^2 = 2 . All t n > 0 t_n > 0 , so t = 2 t = \sqrt2 . (This is Newton’s method for x 2 − 2 x^2 - 2 ; compare §10 .)
Tags: Warm-up Limit laws Computation
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DoneLet x 1 = 1 x_1 = 1 and x n + 1 = 3 x n 2 x_{n+1} = 3x_n^2 for n ≥ 1 n \ge 1 .
Show that if a = lim x n a = \lim x_n , then a = 1 3 a = \frac13 or a = 0 a = 0 .
Does lim x n \lim x_n exist? Explain.
Discuss the apparent contradiction between parts (a) and (b).
Solution (a) a = 3 a 2 a = 3a^2 . (b) x n = 3 2 n − 1 − 1 x_n = 3^{2^{n-1} - 1} , so lim x n = + ∞ \lim x_n = +\infty . (c) Part (a) only shows if the sequence converges, its limit must be 0 0 or 1 3 \frac13 . It does not show the sequence converges, and it doesn’t.
Tags: Standard Limit laws Explain why
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DoneComplete the proof of Theorem 9.7 (c), i.e. give the standard argument needed to show lim s n = 0 \lim s_n = 0 .
Hint Given ε > 0 \varepsilon > 0 , 2 n − 1 < ε \sqrt{\frac{2}{n-1}} < \varepsilon when n > 1 + 2 ε 2 n > 1 + \frac2{\varepsilon^2} . Take N = 1 + 2 ε 2 N = 1 + \frac{2}{\varepsilon^2} .
Solution Let ε > 0 \varepsilon > 0 and put N = 1 + 2 ε 2 N = 1 + \frac{2}{\varepsilon^2} . If n > N n > N then n − 1 > 2 ε 2 n - 1 > \frac{2}{\varepsilon^2} , so 2 n − 1 < ε 2 \frac{2}{n-1} < \varepsilon^2 and 2 n − 1 < ε \sqrt{\frac{2}{n-1}} < \varepsilon . In the proof of (c) we have 0 ≤ s n ≤ 2 n − 1 0 \le s_n \le \sqrt{\frac{2}{n-1}} , so ∣ s n − 0 ∣ < ε |s_n - 0| < \varepsilon for all n > N n > N . Hence lim s n = 0 \lim s_n = 0 .
Tags: Standard ε–N / ε–δ
Used in Theorem 9.7
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DoneGive the following when they exist. Otherwise assert “NOT EXIST.”
lim n 3 \lim n^3
lim ( − n 3 ) \lim(-n^3)
lim ( − n ) n \lim(-n)^n
lim ( 1.01 ) n \lim(1.01)^n
lim n n \lim n^n
Solution
+ ∞ +\infty
− ∞ -\infty
NOT EXIST
+ ∞ +\infty
+ ∞ +\infty
Tags: Warm-up Computation
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DoneSuppose there is N 0 N_0 such that s n ≤ t n s_n \le t_n for all n > N 0 n > N_0 .
Prove that if lim s n = + ∞ \lim s_n = +\infty , then lim t n = + ∞ \lim t_n = +\infty .
Prove that if lim t n = − ∞ \lim t_n = -\infty , then lim s n = − ∞ \lim s_n = -\infty .
Prove that if lim s n \lim s_n and lim t n \lim t_n exist, then lim s n ≤ lim t n \lim s_n \le \lim t_n .
Hint For (c), if both limits are finite, apply Exercise 8.9 to t n − s n ≥ 0 t_n - s_n \ge 0 . The infinite cases follow from (a) and (b).
Solution
Let M ∈ R M \in \mathbb{R} . Choose N 1 N_1 with s n > M s_n > M for n > N 1 n > N_1 . For n > max { N 0 , N 1 } n > \max\{N_0, N_1\} we get t n ≥ s n > M t_n \ge s_n > M . So t n → + ∞ t_n \to +\infty .
Let M ∈ R M \in \mathbb{R} . Choose N 1 N_1 with t n < M t_n < M for n > N 1 n > N_1 . For n > max { N 0 , N 1 } n > \max\{N_0, N_1\} , s n ≤ t n < M s_n \le t_n < M . So s n → − ∞ s_n \to -\infty .
If lim s n = + ∞ \lim s_n = +\infty , then lim t n = + ∞ \lim t_n = +\infty by (a), so the inequality holds; likewise it holds if lim t n = − ∞ \lim t_n = -\infty by (b), and trivially if lim s n = − ∞ \lim s_n = -\infty or lim t n = + ∞ \lim t_n = +\infty . The remaining case is that both limits are finite, say s n → s s_n \to s and t n → t t_n \to t . Suppose t < s t < s and let ε = s − t 2 \varepsilon = \frac{s - t}{2} . For large n n we have s n > s − ε s_n > s - \varepsilon and t n < t + ε = s − ε t_n < t + \varepsilon = s - \varepsilon , so t n < s n t_n < s_n , contradicting s n ≤ t n s_n \le t_n . Hence s ≤ t s \le t .
Tags: Standard ε–N / ε–δ
Used in Exercise 9.16 , Exercise 12.1 , Exercise 12.4 , Exercise 12.8
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Show that if lim s n = + ∞ \lim s_n = +\infty and k > 0 k > 0 , then lim ( k s n ) = + ∞ \lim(ks_n) = +\infty .
Show lim s n = + ∞ \lim s_n = +\infty if and only if lim ( − s n ) = − ∞ \lim(-s_n) = -\infty .
Show that if lim s n = + ∞ \lim s_n = +\infty and k < 0 k < 0 , then lim ( k s n ) = − ∞ \lim(ks_n) = -\infty .
Solution
Let M > 0 M > 0 . Since s n → + ∞ s_n \to +\infty , there is N N with s n > M / k s_n > M/k for n > N n > N . Then k s n > M ks_n > M for n > N n > N .
lim s n = + ∞ \lim s_n = +\infty means: for every M M there is N N with s n > M s_n > M for n > N n > N . Replacing M M by − M -M (which ranges over all reals as M M does), this says: for every M M there is N N with − s n < M -s_n < M for n > N n > N , which is lim ( − s n ) = − ∞ \lim(-s_n) = -\infty .
Since − k > 0 -k > 0 , part (a) gives ( − k ) s n → + ∞ (-k)s_n \to +\infty , and then part (b) gives k s n = − ( ( − k ) s n ) → − ∞ ks_n = -\bigl((-k)s_n\bigr) \to -\infty .
Tags: Standard ε–N / ε–δ
Used in Exercise 10.5 , Exercise 11.8
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Show that if lim s n = + ∞ \lim s_n = +\infty and inf { t n : n ∈ N } > − ∞ \inf\{t_n : n \in \mathbb{N}\} > -\infty , then lim ( s n + t n ) = + ∞ \lim(s_n + t_n) = +\infty .
Show that if lim s n = + ∞ \lim s_n = +\infty and lim t n > − ∞ \lim t_n > -\infty , then lim ( s n + t n ) = + ∞ \lim(s_n + t_n) = +\infty .
Show that if lim s n = + ∞ \lim s_n = +\infty and ( t n ) (t_n) is bounded, then lim ( s n + t n ) = + ∞ \lim(s_n + t_n) = +\infty .
Hint (a) Let m = inf t n m = \inf t_n . Given M M , make s n > M − m s_n > M - m . (b) If lim t n > − ∞ \lim t_n > -\infty , then ( t n ) (t_n) is bounded below (use Exercise 8.10 for the tail and handle the finitely many early terms separately).
Solution
Let m = inf { t n } m = \inf\{t_n\} , a real number. Given M M , choose N N with s n > M − m s_n > M - m for n > N n > N . Then s n + t n ≥ s n + m > M s_n + t_n \ge s_n + m > M .
If lim t n > − ∞ \lim t_n > -\infty , pick a real c < lim t n c < \lim t_n . Then t n > c t_n > c for n > N 1 n > N_1 (Exercise 8.10 ), and the finitely many terms t 1 , … , t N 1 t_1, \dots, t_{N_1} have a minimum , so inf { t n } ≥ min { c , t 1 , … , t N 1 } > − ∞ \inf\{t_n\} \ge \min\{c, t_1, \dots, t_{N_1}\} > -\infty . Now apply (a).
A bounded sequence has inf { t n } > − ∞ \inf\{t_n\} > -\infty , so (a) applies.
Tags: Standard ε–N / ε–δ
Used in Exercise 9.16
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DoneAssume all s n ≠ 0 s_n \ne 0 and that the limit L = lim ∣ s n + 1 s n ∣ L = \lim \left|\dfrac{s_{n+1}}{s_n}\right| exists. (This exercise is referred to in several places.)
Show that if L < 1 L < 1 , then lim s n = 0 \lim s_n = 0 .
Show that if L > 1 L > 1 , then lim ∣ s n ∣ = + ∞ \lim |s_n| = +\infty .
Hint (a) Select a a with L < a < 1 L < a < 1 and N N with ∣ s n + 1 ∣ < a ∣ s n ∣ |s_{n+1}| < a|s_n| for n ≥ N n \ge N . Then ∣ s n ∣ < a n − N ∣ s N ∣ |s_n| < a^{n-N}|s_N| for n > N n > N . (b) Apply (a) to t n = 1 ∣ s n ∣ t_n = \frac1{|s_n|} and use Theorem 9.10 .
Solution
Since L ≥ 0 L \ge 0 , pick a a with L < a < 1 L < a < 1 (so 0 < a < 1 0 < a < 1 ). Because ∣ s n + 1 s n ∣ → L < a \left|\frac{s_{n+1}}{s_n}\right| \to L < a , there is N N with ∣ s n + 1 ∣ < a ∣ s n ∣ |s_{n+1}| < a|s_n| for n ≥ N n \ge N . By induction , ∣ s n ∣ < a n − N ∣ s N ∣ |s_n| < a^{n-N}|s_N| for n > N n > N , that is, ∣ s n ∣ < C a n |s_n| < C a^n with C = ∣ s N ∣ a − N C = |s_N|a^{-N} . Since a n → 0 a^n \to 0 (Theorem 9.7 (b)), ∣ s n ∣ → 0 |s_n| \to 0 by squeezing, and s n → 0 s_n \to 0 .
Let t n = 1 ∣ s n ∣ t_n = \frac1{|s_n|} . Then ∣ t n + 1 t n ∣ = ∣ s n s n + 1 ∣ → 1 L < 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 0 0 ). By (a), t n → 0 t_n \to 0 , and since t n > 0 t_n > 0 , Theorem 9.10 gives ∣ s n ∣ → + ∞ |s_n| \to +\infty .
Tags: Challenge ε–N / ε–δ Inequalities
Used in Exercise 9.14 , Exercise 9.15
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DoneShow
lim n → ∞ a n = { 0 if ∣ a ∣ < 1 1 if a = 1 + ∞ if a > 1 does not exist if 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 = 1 a = 1 : the sequence is constantly 1 1 .
a > 1 a > 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 a n = 1 / ( 1 / a ) n → + ∞ a^n = 1/(1/a)^n \to +\infty .
a ≤ − 1 a \le -1 : the even terms satisfy a 2 k = ∣ a ∣ 2 k ≥ 1 a^{2k} = |a|^{2k} \ge 1 and the odd terms satisfy a 2 k + 1 ≤ − 1 a^{2k+1} \le -1 . A finite limit L L would force L ≥ 1 L \ge 1 (from the even terms) and L ≤ − 1 L \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 a n \lim a^n does not exist.
Tags: Standard Limit laws
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DoneLet p > 0 p > 0 . Use Exercise 9.12 to show
lim n → ∞ a n n p = { 0 if ∣ a ∣ ≤ 1 + ∞ if a > 1 does not exist if 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 ≠ 0 a \ne 0 , ∣ a n + 1 / ( n + 1 ) p a n / n p ∣ = ∣ a ∣ ( n n + 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 > 1 a > 1 , use Exercise 9.12 (b).
Solution a = 0 a = 0 : every term is 0 0 .
0 < ∣ a ∣ ≤ 1 0 < |a| \le 1 : ∣ a n n p ∣ ≤ 1 n p → 0 \left|\frac{a^n}{n^p}\right| \le \frac1{n^p} \to 0 (Theorem 9.7 (a)), so a n n p → 0 \frac{a^n}{n^p} \to 0 by squeezing.
∣ a ∣ > 1 |a| > 1 : let s n = a n n p ≠ 0 s_n = \frac{a^n}{n^p} \ne 0 . Then
∣ s n + 1 s n ∣ = ∣ a ∣ ( n n + 1 ) p . \left|\frac{s_{n+1}}{s_n}\right| = |a|\left(\frac{n}{n+1}\right)^p .
Choose an integer k ≥ p k \ge p . Since 0 < n n + 1 < 1 0 < \frac n{n+1} < 1 , we have ( n n + 1 ) k ≤ ( n n + 1 ) p ≤ 1 \left(\frac n{n+1}\right)^k \le \left(\frac n{n+1}\right)^p \le 1 , and ( n n + 1 ) k = ( 1 1 + 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 1 1 and the ratio tends to ∣ a ∣ > 1 |a| > 1 . Exercise 9.12 (b) gives ∣ s n ∣ → + ∞ |s_n| \to +\infty . If a > 1 a > 1 the terms are positive, so s n → + ∞ s_n \to +\infty . If a < − 1 a < -1 , the even terms tend to + ∞ +\infty and the odd terms to − ∞ -\infty , so the limit does not exist.
Tags: Standard Limit laws
Used in Exercise 9.16
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DoneShow lim n → ∞ a n n ! = 0 \lim_{n\to\infty} \dfrac{a^n}{n!} = 0 for all a ∈ R a \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 = 0 a = 0 every term is 0 0 . Otherwise let s n = a n n ! ≠ 0 s_n = \frac{a^n}{n!} \ne 0 . Then ∣ s n + 1 s n ∣ = ∣ a ∣ n + 1 → 0 < 1 \left|\frac{s_{n+1}}{s_n}\right| = \frac{|a|}{n+1} \to 0 < 1 , so s n → 0 s_n \to 0 by Exercise 9.12 (a).
Tags: Standard Limit laws
Used in Exercise 9.16 , §16
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DoneUse Theorems 9.9 and 9.10 or Exercises 9.9 –9.15 to prove the following:
lim n 4 + 8 n n 2 + 9 = + ∞ \lim \dfrac{n^4 + 8n}{n^2 + 9} = +\infty
lim [ 2 n n 2 + ( − 1 ) n ] = + ∞ \lim\left[\dfrac{2^n}{n^2} + (-1)^n\right] = +\infty
lim [ 3 n n 3 − 3 n n ! ] = + ∞ \lim\left[\dfrac{3^n}{n^3} - \dfrac{3^n}{n!}\right] = +\infty
Solution
Write n 4 + 8 n n 2 + 9 = n 2 ⋅ 1 + 8 / n 3 1 + 9 / n 2 \dfrac{n^4+8n}{n^2+9} = n^2 \cdot \dfrac{1 + 8/n^3}{1 + 9/n^2} . Here n 2 ≥ n n^2 \ge n , so n 2 → + ∞ n^2 \to +\infty , and the second factor tends to 1 > 0 1 > 0 . Theorem 9.9 gives + ∞ +\infty .
By Exercise 9.14 (with a = 2 a = 2 , p = 2 p = 2 ), 2 n n 2 → + ∞ \frac{2^n}{n^2} \to +\infty . The sequence ( − 1 ) n (-1)^n is bounded, so Exercise 9.11 (c) gives lim [ 2 n n 2 + ( − 1 ) n ] = + ∞ \lim\left[\frac{2^n}{n^2} + (-1)^n\right] = +\infty .
By Exercise 9.14 , 3 n n 3 → + ∞ \frac{3^n}{n^3} \to +\infty ; by Exercise 9.15 , 3 n n ! → 0 \frac{3^n}{n!} \to 0 , so − 3 n n ! → 0 > − ∞ -\frac{3^n}{n!} \to 0 > -\infty . Exercise 9.11 (b) gives the limit + ∞ +\infty .
Tags: Standard Limit laws
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DoneGive a formal proof that lim n 2 = + ∞ \lim n^2 = +\infty using only Definition 9.8 .
Solution Let M > 0 M > 0 and N = M N = \sqrt M . Then n > N n > N implies n 2 > M n^2 > M .
Tags: Warm-up ε–N / ε–δ
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Verify 1 + a + a 2 + ⋯ + a n = 1 − a n + 1 1 − a 1 + a + a^2 + \cdots + a^n = \dfrac{1 - a^{n+1}}{1 - a} for a ≠ 1 a \ne 1 .
Find lim n → ∞ ( 1 + a + a 2 + ⋯ + a n ) \lim_{n\to\infty}(1 + a + a^2 + \cdots + a^n) for ∣ a ∣ < 1 |a| < 1 .
Calculate lim n → ∞ ( 1 + 1 3 + 1 9 + 1 27 + ⋯ + 1 3 n ) \lim_{n\to\infty}\left(1 + \frac13 + \frac19 + \frac1{27} + \cdots + \frac1{3^n}\right) .
What is lim n → ∞ ( 1 + a + a 2 + ⋯ + a n ) \lim_{n\to\infty}(1 + a + a^2 + \cdots + a^n) for a ≥ 1 a \ge 1 ?
Solution (a) Multiply by 1 − a 1 - a ; the sum telescopes. (b) 1 1 − a \dfrac1{1-a} , since a n + 1 → 0 a^{n+1} \to 0 . (c) 1 1 − 1 / 3 = 3 2 \dfrac{1}{1 - 1/3} = \dfrac32 . (d) + ∞ +\infty .
Tags: Standard Limit laws Computation
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