Chapter 09
Medium

Sequences and Series

00 · Symbol Glossary

$\{a_n\}$a sub n — sequence

An ordered, infinite list of numbers a1,a2,a3,…a_1, a_2, a_3, \ldots, indexed by the positive integers n=1,2,3,…n=1,2,3,\ldots. Read "the sequence a-sub-n." Distinct from a function f(x)f(x) (Chapter 01): a sequence is only defined at whole-number inputs, not on a continuum.

$\displaystyle\lim_{n\to\infty} a_n$limit of a sequence

The value the terms ana_n approach as nn grows through the positive integers without bound. Defined the same way as the limits-at-infinity of Chapter 01, Section 04, but with nn restricted to integers instead of xx ranging continuously.

$\displaystyle\sum_{n=1}^{\infty} a_n$infinite series

The sum of every term of a sequence {an}\{a_n\}, added one after another forever. Read "the sum from nn equals 11 to infinity of ana_n." Whether this infinite sum has any meaning at all is the central question of this chapter.

$S_N$S sub N — partial sum

The finite sum of just the first NN terms of a series: SN=a1+a2+⋯+aNS_N = a_1+a_2+\cdots+a_N. A single, ordinary, finite number — no limit involved yet.

$r$r — common ratio

In a geometric sequence, the fixed number each term is multiplied by to get the next: an+1=r⋅ana_{n+1} = r\cdot a_n.


01 · Sequences and Their Limits

A sequence is simply an infinite, ordered list of numbers: 2,4,6,8,…2, 4, 6, 8, \ldots or 1,12,13,14,…1, \tfrac12, \tfrac13, \tfrac14, \ldots. Each entry is labeled by its position n=1,2,3,…n=1,2,3,\ldots, and the whole list is written {an}\{a_n\}.

Definition — Sequence and Sequence Limit

A sequence {an}\{a_n\} assigns a real number ana_n to each positive integer nn.

The sequence converges to LL if lim⁡n→∞an=L\displaystyle\lim_{n\to\infty} a_n = L — for every ε>0\varepsilon>0 (Chapter 01's tolerance), there is some integer NN such that ∣an−L∣<ε\lvert a_n - L\rvert < \varepsilon for all n>Nn>N. If no such LL exists, the sequence diverges.

Example — A converging sequence

an=1na_n = \dfrac{1}{n}: the terms are 1,12,13,14,…1, \tfrac12, \tfrac13, \tfrac14, \ldots, clearly shrinking toward 00. Formally, lim⁡n→∞1n=0\displaystyle\lim_{n\to\infty}\frac1n = 0 — the same limit-at-infinity computation as Chapter 01, Section 04, just restricted to integer inputs. The sequence converges to 00.

❌ Assuming every sequence with a pattern converges

Consider an=(−1)na_n = (-1)^n: the terms alternate −1,1,−1,1,…-1, 1, -1, 1, \ldots forever, following a perfectly clear, predictable pattern.

Why it breaks: convergence requires the terms to settle near a single value LL as nn grows. Here the terms never settle — they permanently oscillate between two fixed values, 11 and −1-1, no matter how large nn gets. For any proposed LL, infinitely many terms stay at distance at least 11 from LL (whichever of −1,1-1,1 is farther from LL), so no ε<1\varepsilon<1 can ever be satisfied for all sufficiently large nn.

Consequence: an=(−1)na_n=(-1)^n diverges — having a clear, predictable pattern is not the same as converging to a limit.


02 · Series and Partial Sums

Adding up all the terms of a sequence forever produces a series. Since an infinite sum cannot be computed by direct addition, its meaning has to be built from something already understood: ordinary, finite sums.

Definition — Series as a Limit of Partial Sums

Given a sequence {an}\{a_n\}, form the partial sums SN=∑n=1Nan=a1+a2+⋯+aNS_N = \displaystyle\sum_{n=1}^{N} a_n = a_1+a_2+\cdots+a_N — each one an ordinary finite sum.

The series ∑n=1∞an\displaystyle\sum_{n=1}^{\infty} a_n converges to SS if lim⁡N→∞SN=S\displaystyle\lim_{N\to\infty} S_N = S (an ordinary sequence limit, Section 01). If that limit does not exist or is infinite, the series diverges.

A series is a sequence in disguise

This definition converts the unfamiliar question "does an infinite sum make sense?" into the familiar one from Section 01: "does the sequence of partial sums {SN}\{S_N\} converge?" Every series-convergence question in this chapter and Chapter 12 is secretly a sequence-limit question about {SN}\{S_N\}.


03 · Geometric Series

Definition — Geometric Series

A geometric series has the form ∑n=0∞a rn=a+ar+ar2+ar3+⋯\displaystyle\sum_{n=0}^{\infty} a\,r^n = a + ar + ar^2 + ar^3 + \cdots, where a≠0a\neq0 is the first term and rr is the common ratio.

∑n=0∞a rn=a1−rif ∣r∣<1,diverges if ∣r∣≥1\sum_{n=0}^{\infty} a\,r^n = \frac{a}{1-r} \quad \text{if } \lvert r\rvert < 1, \qquad \text{diverges if } \lvert r\rvert \geq 1
Step-by-step — Derive the partial sum formula and evaluate $\displaystyle\sum_{n=0}^{\infty} 3\left(\frac12\right)^n$
1
Write the partial sum: SN=a+ar+ar2+⋯+arN−1S_N = a + ar + ar^2 + \cdots + ar^{N-1} (the first NN terms, indices n=0n=0 to N−1N-1).
2
Multiply the whole sum by rr: rSN=ar+ar2+⋯+arNrS_N = ar + ar^2 + \cdots + ar^N — every term of SNS_N shifted up one power.
3
Subtract, and watch the middle terms cancel: SN−rSN=a−arNS_N - rS_N = a - ar^N (every term except the first of SNS_N and the last of rSNrS_N cancels in pairs).
4
Factor and solve for SNS_N: SN(1−r)=a(1−rN)  ⟹  SN=a(1−rN)1−rS_N(1-r) = a(1-r^N) \implies S_N = \dfrac{a(1-r^N)}{1-r}, valid for r≠1r\neq1.
5
Take the limit as N→∞N\to\infty, using ∣r∣<1  ⟹  rN→0\lvert r\rvert<1 \implies r^N\to0: lim⁡N→∞SN=a(1−0)1−r=a1−r\displaystyle\lim_{N\to\infty} S_N = \frac{a(1-0)}{1-r} = \frac{a}{1-r}.
6
Apply to a=3a=3, r=12r=\frac12: since ∣12∣<1\lvert\frac12\rvert<1, the series converges: 31−12=312=6\dfrac{3}{1-\frac12} = \dfrac{3}{\frac12} = 6.
❌ Applying the geometric series formula when |r| ≥ 1

For ∑n=0∞2n=1+2+4+8+⋯\displaystyle\sum_{n=0}^{\infty} 2^n = 1+2+4+8+\cdots, plugging a=1a=1, r=2r=2 into a1−r\dfrac{a}{1-r} gives 11−2=−1\dfrac{1}{1-2} = -1.

Why it breaks: the formula's derivation (step 5 above) explicitly used ∣r∣<1\lvert r\rvert<1 to conclude rN→0r^N\to0. Here r=2>1r=2>1, so rN=2N→∞r^N=2^N\to\infty instead, and step 5's limit does not exist as a finite number — the partial sums SN=1+2+4+⋯+2N−1=2N−1S_N=1+2+4+\cdots+2^{N-1}=2^N-1 grow without bound.

Consequence: the series diverges to +∞+\infty; the formula's output of −1-1 is not the sum of a divergent series of entirely positive terms — a nonsensical negative value is a clear signal the convergence hypothesis was violated. The formula is only valid for ∣r∣<1\lvert r\rvert<1, never outside that range.

Geometric intuition

Each partial sum SNS_N adds a shrinking correction to the previous one when ∣r∣<1\lvert r\rvert<1 — the terms arnar^n shrink geometrically toward 00, so the running total settles down instead of growing forever, converging to a finite ceiling a1−r\frac{a}{1-r}. When ∣r∣≥1\lvert r\rvert\geq1, each new term is at least as large as the last, so the running total never settles.


04 · The Test for Divergence

Before attempting to find the exact sum of a series (often impossible), a fast preliminary check can rule out convergence entirely.

Definition — Test for Divergence (nth-Term Test)

If lim⁡n→∞an≠0\displaystyle\lim_{n\to\infty} a_n \neq 0 (including the case where the limit does not exist), then ∑n=1∞an\displaystyle\sum_{n=1}^{\infty} a_n diverges.

Equivalently: if a series converges, its terms must shrink to 00. This test can only ever prove divergence — it can never prove convergence, even when an→0a_n\to0 (Section 05 shows exactly this).

Example — Quick divergence check

∑n=1∞nn+1\displaystyle\sum_{n=1}^{\infty} \dfrac{n}{n+1}: the terms an=nn+1→1≠0a_n=\dfrac{n}{n+1} \to 1 \neq 0 as n→∞n\to\infty (dividing numerator and denominator by nn: 11+1/n→11+0=1\dfrac{1}{1+1/n}\to\dfrac{1}{1+0}=1). Since the terms do not shrink to 00, the series diverges by the test for divergence — no partial-sum computation needed.


05 · The Harmonic Series — Terms Shrink to Zero, Yet the Series Diverges

❌ Terms → 0 does NOT guarantee convergence

Consider the harmonic series ∑n=1∞1n=1+12+13+14+⋯\displaystyle\sum_{n=1}^{\infty}\frac1n = 1+\frac12+\frac13+\frac14+\cdots. Here an=1n→0a_n=\dfrac1n\to0 as n→∞n\to\infty (Section 01's example) — the test for divergence gives no information, since it only detects divergence when terms fail to vanish.

Why intuition breaks down: group the terms as 1+(12)+(13+14)+(15+16+17+18)+⋯1 + \left(\frac12\right) + \left(\frac13+\frac14\right) + \left(\frac15+\frac16+\frac17+\frac18\right) + \cdots. Each parenthesized group of 2k2^k consecutive terms starting at 12k+1\frac{1}{2^k+1} sums to more than 12\frac12: for instance 13+14>14+14=12\frac13+\frac14 > \frac14+\frac14=\frac12, and 15+16+17+18>4×18=12\frac15+\frac16+\frac17+\frac18 > 4\times\frac18=\frac12 (replacing every term with the smallest one in the group, which only makes the sum smaller, yet it's still bigger than 12\frac12).

Consequence: the partial sums pick up more than 12\frac12 infinitely many times, so SN→∞S_N\to\infty — the harmonic series diverges, despite its terms individually shrinking all the way to 00. This is the single most important cautionary example in the whole topic of series: shrinking terms are necessary for convergence (Section 04) but never sufficient.


06 · Exercises

EXERCISE 9.1

Divide numerator and denominator by the highest power of nn present, then take the limit term by term.

an=3n2+1n2+5na_n = \dfrac{3n^2+1}{n^2+5n}. Divide by n2n^2: 3+1/n21+5/n\dfrac{3+1/n^2}{1+5/n}. As n→∞n\to\infty: 3+01+0=3\dfrac{3+0}{1+0}=3. The sequence converges to 33.

Determine whether the sequence an=3n2+1n2+5na_n = \dfrac{3n^2+1}{n^2+5n} converges, and if so, to what value.

EXERCISE 9.2

Identify the first term aa and common ratio rr, check ∣r∣<1\lvert r\rvert<1, then apply the geometric series formula.

∑n=0∞5(−13)n\displaystyle\sum_{n=0}^{\infty} 5\left(-\frac13\right)^n: a=5a=5, r=−13r=-\frac13, ∣r∣=13<1\lvert r\rvert=\frac13<1, converges. Sum =51−(−1/3)=54/3=154=\dfrac{5}{1-(-1/3)}=\dfrac{5}{4/3}=\dfrac{15}{4}.

Evaluate ∑n=0∞5(−13)n\displaystyle\sum_{n=0}^{\infty} 5\left(-\frac13\right)^n.

EXERCISE 9.3

Check whether the terms themselves approach 00; if not, the test for divergence settles the question immediately.

an=2n+1n=2+1n→2≠0a_n = \dfrac{2n+1}{n}=2+\dfrac1n \to 2\neq0. By the test for divergence, ∑n=1∞2n+1n\displaystyle\sum_{n=1}^{\infty}\dfrac{2n+1}{n} diverges.

Show that ∑n=1∞2n+1n\displaystyle\sum_{n=1}^{\infty}\dfrac{2n+1}{n} diverges, using the test for divergence.

EXERCISE 9.4

The test for divergence cannot prove convergence — recall which specific series from this chapter has terms shrinking to zero but still diverges.

The test for divergence only detects the case an↛0a_n\not\to0; it says nothing when an→0a_n\to0. The harmonic series ∑1n\sum\frac1n (Section 05) has an=1n→0a_n=\frac1n\to0 yet diverges — so an→0a_n\to0 passing the test for divergence's condition is consistent with either convergence or divergence, and a different tool is required to tell them apart.

Explain why "the terms of a series approach 00" is not enough, by itself, to conclude the series converges. Name a specific series from this chapter that demonstrates this.

EXERCISE 9.5

Write out the first several partial sums directly and look for a pattern of cancellation, rather than trying to force the geometric series formula.

∑n=1∞(1n−1n+1)\displaystyle\sum_{n=1}^{\infty}\left(\frac{1}{n}-\frac{1}{n+1}\right). Partial sum: SN=(1−12)+(12−13)+⋯+(1N−1N+1)S_N = \left(1-\frac12\right)+\left(\frac12-\frac13\right)+\cdots+\left(\frac1N-\frac1{N+1}\right). Every interior term cancels (a "telescoping" pattern), leaving SN=1−1N+1S_N = 1-\frac{1}{N+1}. As N→∞N\to\infty: SN→1−0=1S_N\to1-0=1. The series converges to 11.

Evaluate ∑n=1∞(1n−1n+1)\displaystyle\sum_{n=1}^{\infty}\left(\dfrac{1}{n}-\dfrac{1}{n+1}\right) by writing out and simplifying the partial sum SNS_N directly.

EXERCISE 9.6

A perpetuity-style repeated cash flow with a fixed discount factor each period is exactly a geometric series — identify aa and rr from the payment schedule.

A payment of 100100 dollars arrives at the end of each year forever, discounted by a factor of 0.950.95 per year (i.e. year-nn payment is worth 100(0.95)n100(0.95)^n dollars today, for n=1,2,3,…n=1,2,3,\ldots). Present value: ∑n=1∞100(0.95)n=100(0.95)∑n=0∞(0.95)n=95⋅11−0.95=95⋅20=1900\displaystyle\sum_{n=1}^{\infty}100(0.95)^n = 100(0.95)\sum_{n=0}^{\infty}(0.95)^n = 95\cdot\dfrac{1}{1-0.95} = 95\cdot20=1900. Total present value: 19001900 dollars.

A payment of 100100 dollars arrives at the end of each year forever; each year's payment is discounted by an additional factor of 0.950.95 compared to the year before. Model the total present value as a geometric series and evaluate it.


07 · Chapter Summary

ConceptFormula / Rule
Sequence{an}\{a_n\}, defined only at integers n=1,2,3,…n=1,2,3,\ldots
Sequence convergencelim⁡n→∞an=L\lim_{n\to\infty}a_n = L (finite)
Partial sumSN=∑n=1NanS_N = \sum_{n=1}^N a_n, an ordinary finite sum
Series convergence∑n=1∞an\sum_{n=1}^\infty a_n converges iff lim⁡N→∞SN\lim_{N\to\infty}S_N exists (finite)
Geometric series∑arn=a1−r\sum a r^n = \dfrac{a}{1-r} if ∣r∣<1\lvert r\rvert<1; diverges otherwise
Test for divergencean↛0  ⟹  a_n\not\to0 \implies series diverges (never proves convergence)
Harmonic series∑1n\sum\frac1n diverges despite an→0a_n\to0

Next: Chapter 10 — Power Series and Taylor Series, where a series with variable terms cn(x−a)nc_n(x-a)^n is used to represent functions themselves.