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ArticlePublished 7 Aug 20262 min readBy Kevin Joginpolynomial multiplicationKaratsubaToom-CookFFT
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KEVOS AIPolynomial Multiplication Strategies

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Polynomial Arithmetic and GCD

Polynomial Multiplication Strategies

Schoolbook, Karatsuba and evaluation-interpolation methods for polynomial multiplication, and where the crossovers lie.

Engineering / MathematicsPolynomial Arithmetic and GCD2 min readKV-MATH-0555

Polynomial multiplication follows the integer case almost exactly, with one simplification and one complication: there are no carries, but the coefficients can grow.

Schoolbook

Accumulate every pairwise product of coefficients into the appropriate output position. Cost is the product of the degrees.

Note

The absence of carry propagation makes polynomial multiplication simpler than integer multiplication and easier to parallelise. The output coefficient at each position is an independent dot product.

Karatsuba for polynomials

The same three-product identity applies. Split each polynomial at the midpoint of its degree, form three half-size products, and recombine.

f = f1 X^m + f0, g = g1 X^m + g0Three products instead of four, exactly as in the integer case.
Polynomial multiplication methods
MethodCostRange
SchoolbookO(d^2)Low degree, the usual case here
KaratsubaO(d^1.585)Moderate degree
Toom-CookBetter exponentHigh degree
FFT-basedNear linearVery high degree

Key point

For the degrees arising in number field work — typically under fifty — schoolbook multiplication wins. The asymptotically faster methods matter in Schoof's algorithm, where division polynomials reach very high degree.

Evaluation and interpolation

A product of degree d is determined by its values at d + 1 points. Evaluate both factors at enough points, multiply pointwise, and interpolate.

Evaluation-interpolation multiplication

  1. Choose pointsPick more evaluation points than the output degree.
  2. EvaluateEvaluate both operands at each point.
  3. Multiply pointwiseOne coefficient multiplication per point.
  4. InterpolateRecover the product coefficients.

Key point

This is the same idea as modular computation with the Chinese remainder theorem — evaluation at a point is reduction modulo a linear polynomial, and interpolation is CRT reconstruction. The FFT is this method with roots of unity as the evaluation points.

Coefficient growth

Caution

Over the integers, the product coefficients are sums of products, so their size roughly doubles plus a logarithmic term in the degree. Repeated multiplication compounds this. Where the final result is known to be small, work modulo primes and reconstruct instead.

Modular reduction after multiplication

In a finite field extension, multiplication is followed by reduction modulo the defining polynomial. Choosing a sparse modulus makes that reduction linear rather than quadratic — see finite field multiplication.

Source. Henri Cohen, A Course in Computational Algebraic Number Theory, Springer GTM 138 — 3.1.2. 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

  • Schoolbook and Karatsuba Multiplication
  • Asymptotic Cost of Integer Multiplication
  • Polynomial Representation and Storage
  • Polynomial Division with Remainder

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