Sequences and Series
00 · Symbol Glossary
An ordered, infinite list of numbers , indexed by the positive integers . Read "the sequence a-sub-n." Distinct from a function (Chapter 01): a sequence is only defined at whole-number inputs, not on a continuum.
The value the terms approach as grows through the positive integers without bound. Defined the same way as the limits-at-infinity of Chapter 01, Section 04, but with restricted to integers instead of ranging continuously.
The sum of every term of a sequence , added one after another forever. Read "the sum from equals to infinity of ." Whether this infinite sum has any meaning at all is the central question of this chapter.
The finite sum of just the first terms of a series: . A single, ordinary, finite number — no limit involved yet.
In a geometric sequence, the fixed number each term is multiplied by to get the next: .
01 · Sequences and Their Limits
A sequence is simply an infinite, ordered list of numbers: or . Each entry is labeled by its position , and the whole list is written .
A sequence assigns a real number to each positive integer .
The sequence converges to if — for every (Chapter 01's tolerance), there is some integer such that for all . If no such exists, the sequence diverges.
: the terms are , clearly shrinking toward . Formally, — the same limit-at-infinity computation as Chapter 01, Section 04, just restricted to integer inputs. The sequence converges to .
Consider : the terms alternate forever, following a perfectly clear, predictable pattern.
Why it breaks: convergence requires the terms to settle near a single value as grows. Here the terms never settle — they permanently oscillate between two fixed values, and , no matter how large gets. For any proposed , infinitely many terms stay at distance at least from (whichever of is farther from ), so no can ever be satisfied for all sufficiently large .
Consequence: 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.
Given a sequence , form the partial sums — each one an ordinary finite sum.
The series converges to if (an ordinary sequence limit, Section 01). If that limit does not exist or is infinite, the series diverges.
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 converge?" Every series-convergence question in this chapter and Chapter 12 is secretly a sequence-limit question about .
03 · Geometric Series
A geometric series has the form , where is the first term and is the common ratio.
For , plugging , into gives .
Why it breaks: the formula's derivation (step 5 above) explicitly used to conclude . Here , so instead, and step 5's limit does not exist as a finite number — the partial sums grow without bound.
Consequence: the series diverges to ; the formula's output of 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 , never outside that range.
Each partial sum adds a shrinking correction to the previous one when — the terms shrink geometrically toward , so the running total settles down instead of growing forever, converging to a finite ceiling . When , 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.
If (including the case where the limit does not exist), then diverges.
Equivalently: if a series converges, its terms must shrink to . This test can only ever prove divergence — it can never prove convergence, even when (Section 05 shows exactly this).
: the terms as (dividing numerator and denominator by : ). Since the terms do not shrink to , 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
Consider the harmonic series . Here as (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 . Each parenthesized group of consecutive terms starting at sums to more than : for instance , and (replacing every term with the smallest one in the group, which only makes the sum smaller, yet it's still bigger than ).
Consequence: the partial sums pick up more than infinitely many times, so — the harmonic series diverges, despite its terms individually shrinking all the way to . 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
Divide numerator and denominator by the highest power of present, then take the limit term by term.
. Divide by : . As : . The sequence converges to .
Determine whether the sequence converges, and if so, to what value.
Identify the first term and common ratio , check , then apply the geometric series formula.
: , , , converges. Sum .
Evaluate .
Check whether the terms themselves approach ; if not, the test for divergence settles the question immediately.
. By the test for divergence, diverges.
Show that diverges, using the test for divergence.
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 ; it says nothing when . The harmonic series (Section 05) has yet diverges — so 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 " is not enough, by itself, to conclude the series converges. Name a specific series from this chapter that demonstrates this.
Write out the first several partial sums directly and look for a pattern of cancellation, rather than trying to force the geometric series formula.
. Partial sum: . Every interior term cancels (a "telescoping" pattern), leaving . As : . The series converges to .
Evaluate by writing out and simplifying the partial sum directly.
A perpetuity-style repeated cash flow with a fixed discount factor each period is exactly a geometric series — identify and from the payment schedule.
A payment of dollars arrives at the end of each year forever, discounted by a factor of per year (i.e. year- payment is worth dollars today, for ). Present value: . Total present value: dollars.
A payment of dollars arrives at the end of each year forever; each year's payment is discounted by an additional factor of compared to the year before. Model the total present value as a geometric series and evaluate it.
07 · Chapter Summary
| Concept | Formula / Rule |
|---|---|
| Sequence | , defined only at integers |
| Sequence convergence | (finite) |
| Partial sum | , an ordinary finite sum |
| Series convergence | converges iff exists (finite) |
| Geometric series | if ; diverges otherwise |
| Test for divergence | series diverges (never proves convergence) |
| Harmonic series | diverges despite |
Next: Chapter 10 — Power Series and Taylor Series, where a series with variable terms is used to represent functions themselves.