Learn and talk about Fermat's factorization method, Integer factorization algorithms

Fermat's factorization method, named after Pierre de Fermat, is based on the representation of an odd integer as the difference of two squares:

$N = a^2 - b^2.\$

That difference is algebraically factorable as $(a+b)(a-b)$ ; if neither factor equals one, it is a proper factorization of N.

Each odd number has such a representation. Indeed, if $N=cd$ is a factorization of N, then

$N = [(c+d)/2]^2 - [(c-d)/2]^2.\$

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.

1 The basic method
2 Fermat's and trial division
3 Sieve improvement
4 Multiplier improvement
5 Other improvements
6 See also
7 References
8 External links

The basic method [edit]

One tries various values of a, hoping that $a^2-N = b^2$ is a square.

FermatFactor(N): // N should be odd

a ← ceil(sqrt(N))

b2 ← a*a - N

while b2 isn't a square:

a ← a + 1 // equivalently: b2 ← b2 + 2*a + 1

b2 ← a*a - N // a ← a + 1

endwhile

return a - sqrt(b2) // or a + sqrt(b2)

For example, to factor $N=5959$ , our first try for a is the square root of $5959$ rounded up to the next integer which is $78$ . Then, $b^2=78^2-5959$ . Since b is not an integer, a second try is made by increasing the value of a by 1. The second attempt again fails because b is not an integer.

Try:	1	2	3
a:	78	79	80
b²:	125	282	441
b:	11.18	16.79	21

The third try produces a perfect square so b is an integer. So, $a=80$ , $b=21$ , and the factors of $5959$ are $a-b = 59$ , and $a+b = 101$ .

Suppose N has more than two prime factors. That procedure first finds the factorization with the least values of a and b. That is, $a+b$ is the smallest factor ≥ the square-root of N. And so $a-b = N/(a+b)$ is the largest factor ≤ root-N. If the procedure finds $N=1 \cdot N$ , that shows that N is prime.

For $N=cd$ , let c be the largest subroot factor. $a = (c+d)/2$ , so the number of steps is approximately $(c+d)/2 - \sqrt N = (\sqrt d - \sqrt c)^2 / 2 = (\sqrt N - c)^2 / 2c$ .

If N is prime (so that $c=1$ ), one needs $O(N)$ 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 ${\left(4N\right)}^{1/4}$ from $\sqrt N$ the method requires only one step. Note, that this is independent of the size of N.

Fermat's and trial division [edit]

Consider trying to factor the prime number N = 2345678917, but also compute b and a − b throughout. Going up from $\sqrt{N}$ , we can tabulate:

a:	48433	48434	48435	48436
b²:	76572	173439	270308	367179
b:	276.7	416.5	519.9	605.9
a − b:	48156.3	48017.5	47915.1	47830.1

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 $a-b=47830.1$ , Fermat's method would have found it already.

Trial division would normally try up to 48432; 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 $c > \sqrt{N}$ ; use Fermat for factors between $\sqrt{N}$ and $c$ . This gives a bound for trial division which is $c - \sqrt{c^2 - N}$ . In the above example, with $c = 48436$ the bound for trial division is 47830. A reasonable choice could be $c = 55000$ giving a bound of 28937.

In this regard, Fermat's method gives diminishing returns. One would surely stop before this point:

a:	60001	60002
b²:	1254441084	1254561087
b:	35418.1	35419.8
a − b:	24582.9	24582.2

Sieve improvement [edit]

It is not necessary to compute all the square-roots of $a^2-N$ , nor even examine all the values for $a$ . Examine the tableau for $N=2345678917$ :

a:	48433	48434	48435	48436
b²:	76572	173439	270308	367179
b:	276.7	416.5	519.9	605.9

One can quickly tell that none of these values of b2 are squares. Squares end with 0, 1, 4, 5, 9, or 16 modulo 20. The values repeat with each increase of $a$ by 10. For this example, adding '-17' mod 20 (or 3), $a^2-N$ 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, $a^2$ must be 1 mod 20, which means that $a$ is 1 or 9 mod 10; it will produce a b2 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 $N=2345678917$ ,

modulo 16:	Squares are	0, 1, 4, or 9
	N mod 16 is	5
	so $a^2$ 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 $a^2$ 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.

Multiplier improvement [edit]

Fermat's method works best when there is a factor near the square-root of N. Perhaps it can be arranged for that to happen.

If the approximate ratio of two factors ( $d/c$ ) is known, then the rational number $v/u$ can picked near that value. $Nuv = cv \cdot du$ , and the factors are roughly equal: Fermat's, applied to Nuv, will find them quickly. Then $\gcd(N,cv)=c$ and $\gcd(N,du)=d$ . (Unless c divides u or d divides v.)

Generally, if the ratio is not known, various $u/v$ 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 $O(N^{1/3})$ time. See R. Lehman, "Factoring Large Integers", Mathematics of Computation, 28:637–646, 1974.

Other improvements [edit]

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 $a^2 - n$ , 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.

References [edit]

J. McKee, "Speeding Fermat's factoring method", Mathematics of Computation, 68:1729-1737 (1999).

External links [edit]

Fermat's factorization running time, at blogspot.in

v t e Number-theoretic algorithms

Primality tests	AKS test APR test Baillie–PSW ECPP test Elliptic curve Pocklington Fermat Lucas Lucas–Lehmer Lucas–Lehmer–Riesel Proth's theorem Pépin's Quadratic Frobenius test Solovay–Strassen Miller–Rabin Trial division

Prime-generating	Sieve of Atkin Sieve of Eratosthenes Sieve of Sundaram Wheel factorization

Integer factorization	Continued fraction (CFRAC) Dixon's Lenstra elliptic curve (ECM) Euler's Pollard's rho p − 1 p + 1 Quadratic sieve (QS) General number field sieve (GNFS) Special number field sieve (SNFS) Rational sieve Fermat's Shanks' square forms Trial division Shor's

Multiplication	Ancient Egyptian Karatsuba Toom–Cook Schönhage–Strassen Fürer's

Discrete logarithm	Baby-step giant-step Pollard rho Pollard kangaroo Pohlig–Hellman Index calculus Function field sieve

Greatest common divisor	Binary Euclidean Extended Euclidean Lehmer's

Modular square root	Cipolla Pocklington's Tonelli–Shanks

Other algorithms	Chakravala Cornacchia Integer relation Integer square root Modular exponentiation Schoof's

Italics indicate that algorithm is for numbers of special forms Smallcaps indicate a deterministic algorithm

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Fermat's factorization method

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