Fermat's factorization method
That difference is algebraically factorable as ; if neither factor equals one, it is a proper factorization of N.
Each odd number has such a representation. Indeed, if is a factorization of N, then
Since N is odd, then c and d are also odd, so those halves are integers. (A multiple of four is also a difference of squares: let c and d be even.)
In its simplest form, Fermat's method might be even slower than trial division (worst case). Nonetheless, the combination of trial division and Fermat's is more effective than either.
One tries various values of a, hoping that , a square.
FermatFactor(N): // N should be odd a ← ceiling(sqrt(N)) b2 ← a*a - N repeat until b2 is a square: a ← a + 1 b2 ← a*a - N // equivalently: // b2 ← b2 + 2*a + 1 // a ← a + 1 return a - sqrt(b2) // or a + sqrt(b2)
For example, to factor , the first try for a is the square root of 5959 rounded up to the next integer, which is 78. Then, . Since 125 is not a square, a second try is made by increasing the value of a by 1. The second attempt also fails, because 282 is again not a square.
The third try produces the perfect square of 441. So, , , and the factors of 5959 are and .
Suppose N has more than two prime factors. That procedure first finds the factorization with the least values of a and b. That is, is the smallest factor ≥ the square-root of N, and so is the largest factor ≤ root-N. If the procedure finds , that shows that N is prime.
For , let c be the largest subroot factor. , so the number of steps is approximately .
If N is prime (so that ), one needs steps. This is a bad way to prove primality. But if N has a factor close to its square root, the method works quickly. More precisely, if c differs less than from , the method requires only one step; this is independent of the size of N.
Fermat's and trial division
Consider trying to factor the prime number N = 2345678917, but also compute b and a − b throughout. Going up from , we can tabulate:
|a − b||48,156.3||48,017.5||47,915.1||47,830.1|
In practice, one wouldn't bother with that last row, until b is an integer. But observe that if N had a subroot factor above , Fermat's method would have found it already.
Trial division would normally try up to 48,432; but after only four Fermat steps, we need only divide up to 47830, to find a factor or prove primality.
This all suggests a combined factoring method. Choose some bound ; use Fermat's method for factors between and . This gives a bound for trial division which is . In the above example, with the bound for trial division is 47830. A reasonable choice could be giving a bound of 28937.
In this regard, Fermat's method gives diminishing returns. One would surely stop before this point:
|a − b||24,582.9||24,582.2|
It is not necessary to compute all the square-roots of , nor even examine all the values for a. Consider the table for :
One can quickly tell that none of these values of are squares. Squares are always congruent to 0, 1, 4, 5, 9, 16 modulo 20. The values repeat with each increase of a by 10. In this example, N is 17 mod 20, so subtracting 17 mod 20 (or adding 3), produces 3, 4, 7, 8, 12, and 19 modulo 20 for these values. It is apparent that only the 4 from this list can be a square. Thus, must be 1 mod 20, which means that a is 1, 9, 11 or 19 mod 20; it will produce a which ends in 4 mod 20 and, if square, b will end in 2 or 8 mod 10.
This can be performed with any modulus. Using the same ,
|modulo 16:||Squares are||0, 1, 4, or 9|
|N mod 16 is||5|
|so can only be||9|
|and a must be||3 or 5 or 11 or 13 modulo 16|
|modulo 9:||Squares are||0, 1, 4, or 7|
|N mod 9 is||7|
|so can only be||7|
|and a must be||4 or 5 modulo 9|
One generally chooses a power of a different prime for each modulus.
Given a sequence of a-values (start, end, and step) and a modulus, one can proceed thus:
FermatSieve(N, astart, aend, astep, modulus) a ← astart do modulus times: b2 ← a*a - N if b2 is a square, modulo modulus: FermatSieve(N, a, aend, astep * modulus, NextModulus) endif a ← a + astep enddo
But the recursion is stopped when few a-values remain; that is, when (aend-astart)/astep is small. Also, because a's step-size is constant, one can compute successive b2's with additions.
A further modular improvement can be made by applying the division algorithm as an affine transformation, that is , , , over any integer ring where . After a small amount of algebra, one can conclude that and where s and t are identical to determining the carries one does in multiplying the divisors over base .
Fermat's method works best when there is a factor near the square-root of N.
If the approximate ratio of two factors () is known, then the rational number can be picked near that value. For example, if , then is a good estimate for the smaller of a divisor pair. , and the factors are roughly equal: Fermat's, applied to Nuv, will find them quickly. Then and . (Unless c divides u or d divides v.) A further generalization of this approach assumes that , meaning that .
Generally, if the ratio is not known, various values can be tried, and try to factor each resulting Nuv. R. Lehman devised a systematic way to do this, so that Fermat's plus trial division can factor N in time.
The fundamental ideas of Fermat's factorization method are the basis of the quadratic sieve and general number field sieve, the best-known algorithms for factoring large semiprimes, which are the "worst-case". The primary improvement that quadratic sieve makes over Fermat's factorization method is that instead of simply finding a square in the sequence of , it finds a subset of elements of this sequence whose product is a square, and it does this in a highly efficient manner. The end result is the same: a difference of square mod n that, if nontrivial, can be used to factor n.
- Completing the square
- Factorization of polynomials
- Factor theorem
- FOIL rule
- Monoid factorisation
- Pascal's triangle
- Prime factor
- Euler's factorization method
- Integer factorization
- Program synthesis
- Table of Gaussian integer factorizations
- Unique factorization
- J. McKee, "Speeding Fermat's factoring method", Mathematics of Computation, 68:1729-1737 (1999).