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Polynomial decomposition

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In mathematics, a polynomial decomposition expresses a polynomial f as the functional composition of polynomials g and h, where g and h have degree greater than 1.[1] Algorithms are known for decomposing polynomials in polynomial time.

Polynomials which are decomposable in this way are composite polynomials; those which are not are prime or indecomposable polynomials[2] (not to be confused with irreducible polynomials, which cannot be factored into products of polynomials).


Examples

In the simplest case, one of the polynomials is a monomial. For example,

decomposes into

and

since

Less trivially,

Uniqueness

A polynomial may have distinct decompositions into indecomposable polynomials where where for some . The restriction in the definition to polynomials of degree greater than one excludes the infinitely many decompositions possible with linear polynomials.

Joseph Ritt proved that , and the degrees of the components are the same, but possibly in different order; this is Ritt's polynomial decomposition theorem.[2][3]

Applications

A polynomial decomposition enables more efficient evaluation of the polynomial.

A polynomial decomposition enables calculation of symbolic roots (using radicals) of some irreducible polynomials.

Algorithms

The first algorithm for polynomial decomposition was published in 1985,[4] though it had been discovered in 1976[5] and implemented in the Macsyma computer algebra system.[6] That algorithm took worst-case exponential time but worked independently of the characteristic of the underlying field.

More recent algorithms ran in polynomial time but with restrictions on the characteristic.[7]

The most recent algorithm calculates a decomposition in polynomial time and without restrictions on the characteristic.[8]

Notes

  1. ^ Composition of polynomials may also be thought of as substitution of one polynomial as the value of the variable of another.
  2. ^ a b J.F. Ritt, "Prime and Composite Polynomials", Transactions of the American Mathematical Society 23:1:51-66 (January, 1922) doi:10.2307/1988911 JSTOR 1988911
  3. ^ Capi Corrales-Rodrigáñez, "A note on Ritt's theorem on decomposition of polynomials", Journal of Pure and Applied Algebra 68:3:293-296 (6 December 1990) doi:10.1016/0022-4049(90)90086-W
  4. ^ David R. Barton, Richard Zippel, "Polynomial Decomposition Algorithms", Journal of Symbolic Computation 1:159–168 (1985)
  5. ^ Richard Zippel , "Functional Decomposition" (1996) full text
  6. ^ Available in its open-source successor, Maxima, see the polydecomp function
  7. ^ Dexter Kozen, Susan Landau, "Polynomial Decomposition Algorithms", Journal of Symbolic Computation 7:445–456 (1989)
  8. ^ Raoul Blankertz, "A polynomial time algorithm for computing all minimal decompositions of a polynomial", ACM Communications in Computer Algebra 48:1 (Issue 187, March 2014) full text

References

  • Joel S. Cohen, "Polynomial Decomposition", Chapter 5 of Computer Algebra and Symbolic Computation, 2003, ISBN 1-56881-159-4