Understanding Prime Number Imposters
Probabilistic tests are effective for generating prime numbers, but they can mistakenly identify pseudoprimesâcomposite numbers that pass these tests. This article explores the implications of such errors in prime generation.
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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
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Published
Jun 25, 2025
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