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Infinite series and convergence

What you'll learn

See when adding infinitely many terms settles on a finite sum — and when it runs away to infinity.

Pre-calculus showed that 1 + ½ + ¼ + … adds up to a finite number. Calculus makes that idea precise and asks the deciding question of Calc II: when does adding infinitely many terms give a finite total?

Partial sums and their limit

You can't add infinitely many numbers directly. Instead, add the first n and watch the running total — the partial sum Sₙ — as n grows:

L = 112345678n (terms added)1
Each term is half the last, so the partial sums Sₙ take ever-smaller steps and close in on 1 without passing it. A series converges when its partial sums approach a finite limit like this.
  • If the partial sums approach a finite limit L, the series converges, and we say its sum is L.
  • If they grow without bound (or never settle), the series diverges.

A series is really a sequence of partial sums, and its sum is the limit of that sequence — the limit idea again, one level up.

The geometric series

The cleanest case, and the one worth memorizing. For a + ar + ar² + … :

conditionbehaviorsum
|r| < 1convergesa / (1 − r)
|r| ≥ 1diverges

So 1 + ½ + ¼ + … has a = 1, r = ½, and sum 1/(1 − ½) = 2. Each term is a shrinking fraction of the last, so the total is reined in.

A warning: small terms aren't enough

For a series to converge its terms must shrink to zero — but that alone isn't enough. The harmonic series 1 + ½ + ⅓ + ¼ + … has terms going to zero, yet its partial sums crawl to infinity. Deciding convergence is subtle, which is why Calc II builds a toolkit of convergence tests.

Why this matters

Infinite series are how we represent numbers and functions that have no finite formula: π, e, and the values your calculator returns for sin and ln are all sums of series. The next lesson uses them to rebuild whole functions — the payoff of the entire course.

Check your understanding

Question 1 of 2

An infinite series converges when its partial sums:

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