 Integer factorization

Integer factorization seeks the prime factorization of a positive integer $N$. For $N>1$, this means identifying its prime factors and their multiplicities; one has the empty prime factorization. Finding one proper divisor $1<d<N$ is useful progress, but need not finish the job: factor $d$ and $N/d$ further until all factors are prime numbers.

For example, $77=7\cdot 11$ is a semiprime, whereas $231=3\cdot 7\cdot 11$ has three prime factors. Primality testing asks whether a proposed integer is prime; it need not return a factor when the answer is no. Trial division is a direct factoring method: try division by small prime numbers until a divisor is found. More elaborate methods obtain a proper divisor through a greatest common divisor of $N$ with a specially constructed integer.

The beautiful trick in congruence of squares is that two integers with equal squares modulo $N$ can reveal different factors through their sum and difference. In the worked $N=77$ example, $20^2\equiv 13^2(\mathrm{mod}77)$ gives $\gcd (20-13,77)=7$ and $\gcd (20+13,77)=11$. Computing those greatest common divisors uses the Euclidean algorithm; it does not require trying every potential factor. A factor base supplies a systematic way to construct useful equal-square relations. ^[ref].

This connection is useful in cryptography because recovering the factors of an RSA cryptosystem modulus defeats the factoring assumption behind its construction. That application concerns large, carefully chosen inputs; the small examples here explain the arithmetic mechanism and are not benchmarks or estimates of present cryptographic security.

Integer factorization is the process of decomposing an integer into a product of smaller integers, specifically into prime numbers. For example, the integer 28 can be factored into prime numbers as \(2^2 \times 7\), where 2 and 7 are prime numbers. The goal of factorization is to find these prime factors. The significance of integer factorization lies in its applications, particularly in number theory and cryptography.

Complexity: NP-intermediate as of 2020:

The basis of RSA: RSA. But not proved NP-complete, which leads to: