Halfway to the wall
The question
Walk halfway to a wall. Then walk half of what is left, then half of that, and so on, forever. Do you ever reach the wall? How can infinitely many steps add up to a finite distance?
Try the experiment before reading on. There’s no wrong way to explore.
Experiment
Series and partial sums
Add the terms one by one. Do the partial sums Sₙ settle down, or keep growing?
- partial sums Sₙ
- terms aₙ
S30 = a1 + … + a30 = 1
Partial sums on a screen are evidence, never proof: a series can look settled and still diverge, as the harmonic series does.
Hints, if you want them
What’s going on
What’s going on
After steps you have walked
of the way, so you are from the wall. At no finite stage have you arrived. But the gap becomes smaller than any distance you care to name: smaller than a millimetre after 10 steps of a metre, smaller than the width of an atom after about 34. Mathematicians define the sum of infinitely many numbers as the number the running totals get closer and closer to — the limit of the partial sums. Here that limit is , so
The Greek philosopher Zeno of Elea used puzzles like this one, about 2,500 years ago, to argue that motion is impossible. The modern answer — limits, and the real numbers that guarantee limits exist — took until the nineteenth century to make precise.
Not every infinite sum is finite. The harmonic series grows without bound, even though its terms shrink to zero; Nicole Oresme proved this in the fourteenth century by grouping its terms. Telling these cases apart is the beginning of analysis.
Where this leads
- Grades 9–12 · Lesson availableSequences and seriesArithmetic and geometric sequences, summation notation, sums of finite series, recursive definitions, and an informal look at convergence of infinite geometric series.
- Advanced undergraduate · Lesson availableReal analysisRigorous analysis on the real line: completeness, sequences and series, limits and continuity, uniform convergence, differentiation and the Riemann integral, with proofs of the theorems calculus relies on.
- First-year graduate · Lesson availableMeasure theory and integrationσ-algebras and measures, Lebesgue measure, measurable functions and the Lebesgue integral, the monotone and dominated convergence theorems, product measures and Fubini–Tonelli, and Lᵖ spaces.