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ArticlePublished 7 Aug 20262 min readBy Kevin JoginPollard rhocycle detectionbirthday paradoxFloyd
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Classical Primality and Factoring

The Pollard Rho Factoring Method

Pollard's rho method: cycle detection in a pseudorandom sequence, the birthday bound, and Brent's improvement.

Engineering / MathematicsClassical Primality and Factoring2 min readKV-MATH-0653

Pollard's rho method finds a factor in time proportional to the square root of that factor, using almost no memory. It is the standard method for factors of moderate size.

The idea

Iterate a pseudorandom map modulo the number. The sequence of values modulo an unknown prime factor cycles much sooner than the sequence modulo the number itself, and detecting that shorter cycle reveals the factor.

x -> x^2 + c (mod n)The standard iteration; c a small constant, typically one.

Key point

By the birthday bound, a random sequence modulo a prime p repeats after about the square root of p steps. The method therefore finds a factor p in roughly the square root of p operations, without knowing p in advance.

Cycle detection

Cycle detection strategies
MethodMemoryCost
Floyd — tortoise and hareConstantThree iterations per step
BrentConstantFewer iterations; typically faster
Storing valuesLargeImpractical for the sizes involved

Pollard rho with cycle detection

  1. Iterate two pointersOne at single speed and one at double, or use Brent's powers-of-two schedule.
  2. Take a GCDOf the difference with the number being factored.
  3. Check the resultA non-trivial GCD is a factor.
  4. Handle failureA GCD equal to the number means the cycle coincided; restart with a different constant.

Batching the GCDs

Cost

A GCD per step dominates the cost. Multiplying many differences together and taking one GCD per batch removes almost all of that cost. If a batch yields a factor, it is re-run step by step to identify which difference produced it.

Failure and restart

Pitfall

When the GCD equals the number, both factors were found simultaneously and the information is lost. Restarting with a different constant fixes it. Code that treats this as success returns the input unchanged and can loop indefinitely.

Cost and range

Expected cost ~ sqrt(p) ~ n^(1/4) in the worst casep the smallest prime factor.
Practical range of Pollard rho
Factor sizeFeasibility
Up to about 12 digitsFast
12 to 20 digitsFeasible
BeyondUse ECM instead

Key point

The method's advantage is negligible memory use and no parameters to tune. Its disadvantage is that the cost depends only on the factor size with no way to trade memory or parallelism for speed, which ECM provides.

Application

Rho is the workhorse for the small factors encountered in smoothness testing and in factoring ideal norms, where factors are expected to be small and the number of calls is large.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 8.5.3. Structural reference unverified: the source file was not available during authoring; chapter and section numbers are taken from the published edition and have not been checked against a physical copy.

Related pages

  • The Pollard p-1 Method
  • Trial Division and Lehman's Method

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