Understanding Prime Number Imposters

Probabilistic tests are effective for generating prime numbers, but they can mistakenly identify pseudoprimes—composite numbers that pass these tests. This article explores the implications of such errors in prime generation.

Understanding Prime Number Imposters
Kuvina Saydaki
44.6K views • Jun 25, 2025
Understanding Prime Number Imposters

About this video

Probabilistic tests are among the most efficient ways to generate primes. However, they're susceptible to pseudoprimes, composites for which the test outputs probably prime. This is my entry in #SoME4

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Where I got my data for the running time comparison:
https://i.sstatic.net/IOuiJ.png
https://stackoverflow.com/questions/3336642/what-are-typical-runtimes-for-miller-rabin-primality-testing
https://pari.math.u-bordeaux.fr/Events/PARI2018/talks/ecpp.pdf
https://www.ccs.neu.edu/home/mates/files/primes_report.pdf
https://maths-people.anu.edu.au/~brent/pd/primality4.pdf
https://www.jsr.org/hs/index.php/path/article/view/3860/1589

Chapters:
0:00 Intro
1:43 gcd
3:36 Modular arithmetic
8:39 Exponentiation
13:36 Fermat test
21:55 Euler test
26:27 Miller Rabin test
36:08 Comparison
39:52 outro

#math #numbers #amongus

Video Information

Views

44.6K

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1.8K

Duration

41:20

Published

Jun 25, 2025

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