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ArticlePublished 7 Aug 20262 min readBy Kevin Joginpolynomial factorisationstrategypipelinesquarefree
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Polynomial Factorisation

Polynomial Factorisation: Overall Strategy

The three-stage pipeline used to factor polynomials over finite fields and the integers, and why the stages are ordered as they are.

Engineering / MathematicsPolynomial Factorisation2 min readKV-MATH-0562

Polynomial factorisation is not one algorithm but a pipeline. Each stage reduces the problem to a strictly easier one, and the ordering is forced by what each stage assumes about its input.

The pipeline over a finite field

Squarefree factorisation→Distinct degree factorisation→Equal degree splitting

Factoring over a finite field

  1. Squarefree factorisationSeparate repeated factors, producing polynomials with no repeated roots. Deterministic and cheap, using GCD with the derivative. See squarefree factorisation.
  2. Distinct degree factorisationSeparate the irreducible factors by their degree, using GCDs against Frobenius powers. Deterministic. See distinct degree factorisation.
  3. Equal degree splittingSeparate factors of the same degree. Probabilistic. See Cantor-Zassenhaus.

Key point

Only the last stage is probabilistic, and only that stage needs to be. The first two are deterministic and cheap, so the randomness is confined to the smallest possible part of the problem.

Why the ordering is forced

Each stage assumes the previous one has run
StageAssumes about its input
Squarefree factorisationNothing
Distinct degreeInput is squarefree
Equal degree splittingInput is squarefree and all factors have known equal degree

Pitfall

Running distinct degree factorisation on input that is not squarefree gives wrong results silently — repeated factors confuse the degree separation. The stages cannot be reordered or skipped.

The alternative: Berlekamp

Berlekamp's algorithm takes a different route entirely, using linear algebra over the field rather than GCD computations. It is deterministic for small fields and is still the method of choice when the field is small and the degree modest.

Over the integers

Content and squarefree→Factor modulo a prime→Hensel lift→Recombine factors

Factoring over the integers reduces to the finite field case: factor modulo a well-chosen prime, lift the factorisation to a prime power with Hensel lifting, then determine which combinations of modular factors correspond to true integer factors.

Caution

The recombination step is the expensive one. A polynomial that is irreducible over the integers can split into many factors modulo every prime, and testing all subsets is exponential. This is exactly the problem LLL-based factorisation solves.

Choosing the prime

Key point

The prime must not divide the leading coefficient and must leave the polynomial squarefree modulo p — equivalently, must not divide the discriminant. Several candidate primes are usually tried, and the one giving the fewest modular factors is chosen, since that minimises the recombination work.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 3.4.1. 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

  • Polynomial GCD over a Unique Factorisation Domain
  • Squarefree Factorisation of Polynomials

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