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Perfect Numbers — Find the Numbers That Equal Their Own Parts
Mark

Créé par

Mark

2. juillet 2026FI
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Perfect Numbers — Find the Numbers That Equal Their Own Parts

A hands-on maths project: take 6 counters, find every way to divide them into equal groups, and discover that the group-sizes add back up to 6 -- a 'perfect' number. A Python cell checks 6 and 28, and a compendium reaches a 2,300-year-old unsolved mystery.
Débutant
30 minutes

Consignes

1

A number equal to its parts

Some numbers have a magical property: add up all the smaller numbers that divide them, and you get the number back. The Greeks called these 'perfect'. You will find one with a handful of counters.
2

Lay out six counters

Take 6 counters (beads, buttons or coins). Find every way to divide them into equal groups: one group of 6, or 2 groups of 3, or 3 groups of 2, or 6 groups of 1. The group-SIZES that work (the divisors smaller than 6) are 1, 2 and 3.

Matériaux pour cette étape :

Glass BeadsGlass Beads1 pièce
3

Add up the parts

Add those divisors: 1 + 2 + 3 = 6. The parts add back up to the number itself -- 6 is perfect! Now try 28 with 28 counters: its divisors are 1, 2, 4, 7 and 14, and they add to 28. Try 10 or 12 and you will find they do NOT work, which is why perfect numbers are so rare.
4

Check with the computer

Loading Jupyter Notebook...

Outils nécessaires :

Desktop ComputerDesktop Computer
5

Compendium: an unsolved mystery

What your counters lead to. (1) The perfect numbers are strikingly rare: 6, 28, 496, 8128, then none until 33,550,336. (2) Around 300 BC Euclid found a recipe: whenever 2-to-the-power-p minus 1 is prime, you can build a perfect number from it -- which links them to the famous 'Mersenne primes' that a worldwide computer project still hunts today. (3) Every perfect number ever found is EVEN. (4) After 2,300 years, two questions Euclid could have asked remain unanswered: are there infinitely many, and does an ODD perfect number exist? Nobody has ever found one -- or proved one cannot exist. You have just handled the front edge of an open problem in mathematics.

Matériaux

1

Outils requis

1

You can swap these in

Can't get one of the materials? Swap it for an equivalent — these work just as well.

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