AP Calculus BC
When the Alternating Series Test Does Not Apply
The Alternating Series Test needs two conditions on the term sizes: they must decrease, and they must tend to zero. Alternating signs on their own prove nothing. If the sizes tend to a nonzero value the series diverges outright, whatever the pattern of signs.
Alternating Series Test
An alternating series converges if the sizes of its terms decrease and tend to zero. The test proves convergence only, never divergence.
The hypotheses, and what each one buys
A theorem is only as strong as its conditions. Below, each hypothesis is dropped on its own while every other one is kept, so you can see precisely what it was holding up.
- 1
The term sizes tend to zero
This is the condition that makes the partial sums close in on a value: consecutive partial sums differ by exactly , so if the sizes do not shrink to nothing, the sums keep jumping by a fixed amount and can never settle.
Drop it and the theorem fails
Alternating terms of size n over n plus one
The sizes do increase, and they head toward 1 rather than 0. The check confirms they are still about at the millionth term. The signs alternate perfectly and the series diverges anyway, by the nth term test, because the terms themselves never approach zero.
- 2
The term sizes are decreasing
Decreasing sizes are what make the partial sums nest inside one another, each one trapped between the previous two. Without that nesting the sums can wander even when the sizes tend to zero. Building an example takes a term defined by cases, one rule for odd indices and another for even ones, which no single elementary formula produces, so none is displayed here. The condition is genuinely needed: it is not an artefact of the proof.
No counterexample built from an elementary formula breaks this one on its own, so none is claimed here.
The counterexample above is checked numerically on every build: each function is evaluated and the conclusion is confirmed to fail. A counterexample that stopped working would fail the build rather than sit here misleading you.
Why it is true
- Group the partial sums by parity. The even-indexed ones increase, because each step adds , using the decreasing hypothesis.
- The odd-indexed ones decrease, by the same pairing shifted along.
- Every even partial sum stays below every odd one, so both sequences are monotone and bounded, and both converge.
- The gap between them is , which tends to 0 by the second hypothesis, so the two limits coincide and the series converges. Each hypothesis powers a different half: decreasing gives the monotonicity, vanishing closes the gap.
What it does not say
Failing the test means the series diverges.
The test proves convergence only. If the sizes fail to decrease, the test is silent and the series may still converge. The one exception is sizes that do not tend to zero, and there the nth term test, not this one, is what gives divergence.
The terms must alternate starting with a positive one.
The starting sign is irrelevant. Dropping or adding one term at the front changes the sum but never whether the series converges.
Convergence here means absolute convergence.
It does not. converges by this test while diverges, so the convergence is conditional. Absolute convergence is a separate and stronger question.
Frequently asked questions
How do I show the term sizes are decreasing?
Either compare with directly, or treat the size as a function of a real variable and show its derivative is negative for large enough inputs. The second route is usually faster for terms with several factors.
What is the error bound that comes with this test?
When the test applies, truncating after n terms leaves an error no larger than the first term you dropped, and with the same sign. That bound is unusually tight for a series result and is worth the two conditions it costs.