What is Calculus II · Series

Convergence?

When an infinite sum settles on a finite value — and the tests that tell us when it does.

An infinite series \(\displaystyle\sum_{n=1}^{\infty} a_n\) is built by adding up infinitely many terms. Convergence means the running total gets closer and closer to some finite number \(L\) — and stays there. Divergence means it doesn't: the sum grows without bound, oscillates, or otherwise fails to settle.

Formally, we define the \(N\)-th partial sum \(S_N = a_1 + a_2 + \cdots + a_N\) and say the series converges if \(\lim_{N \to \infty} S_N = L\) for some finite \(L\).

Convergence — formal definition
$$\sum_{n=1}^{\infty} a_n = L \quad \iff \quad \lim_{N \to \infty} S_N = \lim_{N \to \infty} \sum_{n=1}^{N} a_n = L \in \mathbb{R}$$
✅ Convergent
Partial sums approach a finite limit
The series has a definite, finite value. Adding more terms barely changes the total.
\(\displaystyle\sum_{n=1}^{\infty} \frac{1}{2^n} = \frac{1}{2} + \frac{1}{4} + \frac{1}{8} + \cdots = 1\)
❌ Divergent
Partial sums grow, oscillate, or wander
No finite limit exists. The series cannot be assigned a meaningful finite sum.
\(\displaystyle\sum_{n=1}^{\infty} \frac{1}{n} = 1 + \frac{1}{2} + \frac{1}{3} + \cdots = \infty\)
🏹
Zeno's arrow

To cross a room, you first cross half of it, then half of what remains, then half again — forever. Yet you reach the other side. That's convergence: infinitely many steps, finite total distance. The series \(\frac{1}{2} + \frac{1}{4} + \frac{1}{8} + \cdots = 1\) is exactly this.

🪣
The leaky bucket

Adding terms to a divergent series is like pouring water into a bucket with no bottom. The harmonic series \(\sum \frac{1}{n}\) looks like it should converge — terms get smaller and smaller — but it doesn't. The terms shrink too slowly to stop the total from growing forever. Slow decay is not enough; the terms must shrink fast enough.

The most important reference series. Everything else gets compared to it.

p-Series
$$\sum_{n=1}^{\infty} \frac{1}{n^p} \quad \begin{cases} \text{converges} & \text{if } p > 1 \\ \text{diverges} & \text{if } p \le 1 \end{cases}$$
\(p = \frac{1}{2}\)
diverges
\(p = 1\)
diverges (harmonic)
\(p = \frac{3}{2}\)
converges
\(p = 2\)
converges to \(\pi^2/6\)
\(p = 4\)
converges fast

No single test works for every series. Here are the main tools, in roughly the order you should try them:

1 — Divergence Test (try first, always)
\(\displaystyle\lim_{n \to \infty} a_n \ne 0 \implies \sum a_n\) diverges
If terms don't go to zero, the series must diverge. But if they do go to zero, this test is inconclusive — you need another test.
2 — Geometric Series
\(\displaystyle\sum_{n=0}^{\infty} ar^n = \frac{a}{1-r}\) if \(|r| < 1\); diverges if \(|r| \ge 1\)
Recognise a constant ratio between successive terms. The only test that also gives the exact sum.
3 — Integral Test
If \(f\) is continuous, positive, decreasing, and \(a_n = f(n)\): \(\displaystyle\sum a_n\) and \(\displaystyle\int_1^\infty f(x)\,dx\) both converge or both diverge.
Best for terms involving \(\ln n\), \(n^p\), or other functions that integrate cleanly. Proved the p-series result above.
4 — Comparison Test
If \(0 \le a_n \le b_n\): \(\sum b_n\) converges \(\implies \sum a_n\) converges. \(\sum a_n\) diverges \(\implies \sum b_n\) diverges.
Compare to a p-series or geometric series you already know. Pick a comparison that has the same dominant behaviour for large \(n\).
5 — Limit Comparison Test
\(\displaystyle L = \lim_{n\to\infty}\frac{a_n}{b_n},\quad 0 < L < \infty \implies \sum a_n\) and \(\sum b_n\) behave the same.
More forgiving than the direct comparison — you only need the ratio to approach a positive finite number. Great for rational functions of \(n\).
6 — Ratio Test
\(\displaystyle L = \lim_{n\to\infty}\left|\frac{a_{n+1}}{a_n}\right|\): converges if \(L < 1\), diverges if \(L > 1\), inconclusive if \(L = 1\).
Best when terms contain factorials or exponentials. Useless for p-series (always gives \(L = 1\)).
7 — Root Test
\(\displaystyle L = \lim_{n\to\infty}\sqrt[n]{|a_n|}\): converges if \(L < 1\), diverges if \(L > 1\), inconclusive if \(L = 1\).
Best when \(a_n\) is itself a power of \(n\) (like \(\left(\frac{n}{2n+1}\right)^n\)). Often equivalent to the Ratio Test but simpler for those forms.
8 — Alternating Series Test
\(\sum (-1)^n b_n\) converges if: (i) \(b_n > 0\), (ii) \(b_n\) is decreasing, (iii) \(\lim_{n\to\infty} b_n = 0\).
Only applies to alternating series. Also gives an error bound: the error in stopping at \(N\) terms is \(\le b_{N+1}\).
Ratio Test — factorial
\(\displaystyle\sum_{n=0}^{\infty} \frac{n!}{3^n}\)

\(\left|\dfrac{a_{n+1}}{a_n}\right| = \dfrac{(n+1)!}{3^{n+1}} \cdot \dfrac{3^n}{n!} = \dfrac{n+1}{3} \to \infty\)
❌ \(L = \infty > 1\) — diverges by Ratio Test.
Ratio Test — exponential
\(\displaystyle\sum_{n=0}^{\infty} \frac{2^n}{n!}\)

\(\left|\dfrac{a_{n+1}}{a_n}\right| = \dfrac{2^{n+1}}{(n+1)!} \cdot \dfrac{n!}{2^n} = \dfrac{2}{n+1} \to 0\)
✅ \(L = 0 < 1\) — converges. (Partial sums approach \(e^2\).)
Limit Comparison — rational
\(\displaystyle\sum_{n=1}^{\infty} \frac{3n^2+1}{n^4-2}\)

Compare to \(\dfrac{1}{n^2}\): \(\lim \dfrac{a_n}{1/n^2} = \lim \dfrac{3n^4+n^2}{n^4-2} = 3\)
✅ \(L = 3 > 0\), and \(\sum 1/n^2\) converges (\(p=2\)) — so this converges too.
Alternating Series Test
\(\displaystyle\sum_{n=1}^{\infty} \frac{(-1)^n}{\sqrt{n}}\)

\(b_n = \tfrac{1}{\sqrt{n}} > 0\), decreasing, \(\to 0\)
✅ All three conditions met — converges by AST. (Conditionally, not absolutely.)

A series \(\sum a_n\) is absolutely convergent if \(\sum |a_n|\) converges. Absolute convergence implies convergence, and the sum is immune to rearrangement.

A series is conditionally convergent if \(\sum a_n\) converges but \(\sum |a_n|\) diverges. Rearranging terms of a conditionally convergent series can change its sum to anything — or make it diverge (Riemann rearrangement theorem).

Hierarchy
$$\text{absolutely convergent} \implies \text{convergent} \implies \text{not divergent}$$
Classic example of conditional convergence
$$\sum_{n=1}^{\infty} \frac{(-1)^{n+1}}{n} = 1 - \frac{1}{2} + \frac{1}{3} - \frac{1}{4} + \cdots = \ln 2 \quad \text{(converges)}$$ $$\sum_{n=1}^{\infty} \frac{1}{n} = \infty \quad \text{(diverges — so not absolutely convergent)}$$
✗ "Terms go to zero, so the series converges"
The divergence test only works one way. \(a_n \to 0\) is necessary but not sufficient. The harmonic series \(\sum 1/n\) is the classic counterexample — terms go to zero, but the series diverges.
✗ Using the Ratio Test on p-series
The Ratio Test always gives \(L = 1\) for p-series, making it inconclusive. Use the p-series rule directly, or the Integral Test instead.
✗ Applying Comparison Test in the wrong direction
If you want to show divergence, you need a smaller divergent series (\(a_n \ge b_n\) where \(\sum b_n\) diverges). Showing \(a_n \le b_n\) for a divergent \(b_n\) tells you nothing about \(a_n\).
✗ Forgetting to check all three AST conditions
The Alternating Series Test requires positivity, monotone decrease, and limit zero. Missing even one condition means the test doesn't apply — use another test or show divergence directly.

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Convergence tests appear on every Calculus II exam. Practice choosing the right test and applying it correctly.

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