Fermat primality test
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The Fermat primality test is a probabilistic test to determine if a number is probably prime.
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[edit] Concept
Fermat's little theorem states that if p is prime and , then
If we want to test if p is prime, then we can pick random a's in the interval and see if the equality holds. If the equality does not hold for a value of a, then p is composite. If the equality does hold for many values of a, then we can say that p is probably prime, or a pseudoprime.
It might be in our tests that we do not pick any value for a such that the equality fails. Any a such that
when n is composite is known as a Fermat liar. If we do pick an a such that
then a is known as a Fermat witness for the compositeness of n.
[edit] Algorithm and running time
The algorithm can be written as follows:
- Inputs: n: a value to test for primality; k: a parameter that determines the number of times to test for primality
- Output: composite if n is composite, otherwise probably prime
- repeat k times:
- pick a randomly in the range (1, n − 1]
- if an − 1 mod n ≠ 1 then return composite
- return probably prime
Using fast algorithms for modular exponentiation, the running time of this algorithm is O(k × log2n × log log n × log log log n), where k is the number of times we test a random a, and n is the value we want to test for primality.
[edit] Flaws
There are certain values of n known as Carmichael numbers for which all values of a for which gcd(a,n)=1 are Fermat liars. Although Carmichael numbers are rare, there are enough of them that Fermat's primality test is often not used in favor of other primality tests such as Miller-Rabin and Solovay-Strassen.
In general, if n is not a Carmichael number then at least half of all
are Fermat witnesses. For proof of this, let a be a Fermat witness and a1, a2, ..., as be Fermat liars. Then
and so all a × ai for i = 1, 2, ..., s are Fermat witnesses.
[edit] Usage
The encryption program PGP uses this primality test in its algorithms. The chance of PGP generating a Carmichael number is less than 1 in 1050, which is more than adequate for practical purposes.
[edit] References
- Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms, Second Edition. MIT Press and McGraw-Hill, 2001. ISBN 0-262-03293-7. Pages 889–890 of section 31.8, Primality testing.
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