Mathematics.

series

Convergence of Series

Real Analysis35 minDifficulty7 out of 10

You should know: sequences and limits

Overview

An infinite series Σaₙ is said to converge if its sequence of partial sums Sₙ = a₁ + a₂ + ... + aₙ converges to a finite limit as n → ∞; otherwise the series diverges. Because a series is defined entirely in terms of a sequence (its partial sums), the rigorous ε-N machinery of sequential convergence transfers directly. The central question of this topic is not computing sums in closed form (only a few special series, like geometric series, allow that) but determining WHETHER a given series converges at all — a question answered by a toolkit of convergence tests (comparison, ratio, root, integral, alternating series) developed throughout the 18th and 19th centuries.

Intuition

Think of walking along a number line, taking a step of size aₙ at the n-th move. The partial sum Sₙ is your position after n steps. The series converges if your position settles down and stops meaningfully changing — the steps get so small, so fast, that you approach a fixed final resting point rather than wandering off to infinity or oscillating forever. Crucially, it's not enough for the STEPS themselves to shrink to zero (aₙ → 0) — the harmonic series 1 + 1/2 + 1/3 + ... has shrinking steps yet still walks off to infinity, because the steps don't shrink fast enough for the total distance to stay finite.

Interactive Graph

Partial sums converging to a target function

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Formal Definition

Definition

Given a sequence (aₙ), the associated series Σaₙ converges to S if its sequence of partial sums converges to S in the ε-N sense:

Sn=k=1nakS_n = \sum_{k=1}^{n} a_k
Partial sum
k=1ak=S    ε>0 N:nN, SnS<ε\sum_{k=1}^{\infty} a_k = S \iff \forall \varepsilon>0\ \exists N: \forall n \ge N,\ |S_n - S| < \varepsilon

The series converges to S exactly when its partial sums converge to S as a sequence

Convergence of a series
k=1ak<    k=1ak converges\sum_{k=1}^{\infty} |a_k| < \infty \implies \sum_{k=1}^{\infty} a_k \text{ converges}

A stronger convergence notion (absolute convergence) always implies ordinary convergence, but not conversely

Absolute convergence implies convergence

Notation

NotationMeaning
n=1an\sum_{n=1}^{\infty} a_nAn infinite series formed by summing the terms of the sequence (aₙ)
SnS_nThe n-th partial sum, Σ from k=1 to n of aₖ
an converges but an diverges\sum a_n \text{ converges but } \sum |a_n| \text{ diverges}The series converges only due to sign cancellation, not because the terms are absolutely small
an<\sum |a_n| < \inftyThe series of absolute values converges — a strictly stronger property than plain convergence

Derivation

Proof that the harmonic series diverges, by grouping terms into blocks that each exceed 1/2 — the classical argument attributed to Nicole Oresme (14th century).

S2k=1+12+(13+14)>1/2+(15++18)>1/2+S_{2^k} = 1 + \frac{1}{2} + \underbrace{\left(\frac{1}{3}+\frac{1}{4}\right)}_{>\, 1/2} + \underbrace{\left(\frac{1}{5}+\cdots+\frac{1}{8}\right)}_{>\, 1/2} + \cdots

Group terms in blocks of doubling length; each block of the form (1/(2^j+1)+\cdots+1/2^{j+1}) contains 2^j terms each ≥ 1/2^{j+1}, so the block sum exceeds 1/2

S2k>1+k2S_{2^k} > 1 + \frac{k}{2}

After k such blocks (plus the initial 1), the partial sum exceeds 1 + k/2

limk(1+k2)=    limkS2k=\lim_{k\to\infty}\left(1+\frac{k}{2}\right) = \infty \implies \lim_{k\to\infty} S_{2^k} = \infty

Since the partial sums have an unbounded subsequence, the sequence of partial sums cannot converge to any finite limit

Properties

n-th term test (necessary condition)

an converges    an0\sum a_n \text{ converges} \implies a_n \to 0

Condition: Contrapositive form is most useful for proving divergence: if aₙ ↛ 0, the series diverges immediately. The converse is FALSE — aₙ→0 does not imply convergence (harmonic series).

Geometric series test

n=0arn=a1r converges    r<1\sum_{n=0}^{\infty} ar^n = \frac{a}{1-r} \text{ converges} \iff |r| < 1

Ratio test

L=limnan+1an; L<1converges (absolutely), L>1diverges, L=1inconclusiveL = \lim_{n\to\infty}\left|\frac{a_{n+1}}{a_n}\right|;\ L<1 \Rightarrow \text{converges (absolutely)},\ L>1 \Rightarrow \text{diverges},\ L=1 \Rightarrow \text{inconclusive}

Alternating Series Test (Leibniz)

If bn is decreasing, bn0, then (1)nbn converges\text{If } b_n \text{ is decreasing, } b_n \to 0, \text{ then } \sum (-1)^n b_n \text{ converges}

Condition: Applies to alternating series with monotonically shrinking terms; only guarantees convergence, not absolute convergence.

p-series test

n=11np converges    p>1\sum_{n=1}^{\infty} \frac{1}{n^p} \text{ converges} \iff p > 1

Example: The harmonic series (p=1) diverges; Σ1/n² (p=2) converges.

Applications

Analyzing the running time or error of iterative and recursive algorithms often reduces to determining whether an associated series converges, e.g. bounding the total work done across all levels of a recursive divide-and-conquer algorithm.

Worked Examples

  1. This is a geometric series with ratio r = 1/2, and |r|<1, so it converges.

    12<1\left|\frac{1}{2}\right| < 1
  2. Apply the geometric series sum formula a/(1-r) with a=1, r=1/2.

    n=0(12)n=1112=2\sum_{n=0}^{\infty}\left(\frac{1}{2}\right)^n = \frac{1}{1-\frac{1}{2}} = 2

Answer: Converges to 2

Practice Problems

Difficulty 5/10

Does Σ 1/n² (n=1 to ∞) converge? Justify using the p-series test.

Difficulty 6/10

If lim(n→∞) aₙ = 5 ≠ 0, what can you conclude about Σaₙ?

Common Mistakes

Common Mistake

Believing aₙ → 0 is sufficient to guarantee Σaₙ converges.

aₙ→0 is only NECESSARY, not sufficient. The harmonic series Σ1/n has terms shrinking to 0 yet diverges to infinity — the terms must shrink fast enough, which aₙ→0 alone does not guarantee.

Common Mistake

Applying the ratio test and concluding divergence (or convergence) when the limit L equals exactly 1.

L=1 is the inconclusive case — the ratio test gives no information. Both Σ1/n (diverges) and Σ1/n² (converges) have ratio-test limit L=1, so a different test (e.g. p-series test) is required.

Quiz

The n-th term test says that if the terms aₙ do NOT approach 0, the series:
The harmonic series Σ1/n famously:

Summary

  • A series Σaₙ converges iff its sequence of partial sums Sₙ converges (in the ordinary ε-N sequence sense) to a finite value.
  • The n-th term test gives a necessary (not sufficient) condition: aₙ→0 is required for convergence, but not enough on its own (harmonic series diverges despite aₙ→0).
  • Key convergence tests: geometric series (|r|<1), ratio test, p-series (p>1), and the Alternating Series Test for series with alternating signs.
  • Absolute convergence (Σ|aₙ| converges) is strictly stronger than convergence — a series can be conditionally convergent, converging only due to sign cancellation, as with Σ(-1)ⁿ/n.
  • The harmonic series Σ1/n is the canonical example of a divergent series with terms tending to zero, provable by grouping terms into blocks each exceeding 1/2.

References

  1. BookRudin, W. Principles of Mathematical Analysis, 3rd ed. Ch. 3.