polynomial decomposition

In mathematics, a polynomial decomposition expresses a polynomial ''f'' as the functional composition $g \circ h$ of polynomials ''g'' and ''h'', where ''g'' and ''h'' have degree greater than 1; it is an algebraic functional decomposition. Algorithms are known for decomposing univariate polynomials in polynomial time.

Polynomials which are decomposable in this way are composite polynomials; those which are not are indecomposable polynomials or sometimes prime polynomials J.F. Ritt, "Prime and Composite Polynomials", ''Transactions of the American Mathematical Society'' 23:1:51–66 (January, 1922) (not to be confused with irreducible polynomials, which cannot be factored into products of polynomials). The degree of a composite polynomial is always a composite number, the product of the degrees of the composed polynomials.

The rest of this article discusses only univariate polynomials; algorithms also exist for multivariate polynomials of arbitrary degree.

Examples

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

:$f = x^6 - 3 x^3 + 1$

decomposes into

:$g = x^2 - 3 x + 1 \text h = x^3$

since

:$f(x) = (g \circ h)(x) = g(h(x)) = g(x^3) = (x^3)^2 - 3 (x^3) + 1,$

using the ring operator symbol ∘ to denote function composition.

Less trivially,

: $\begin & x^6-6 x^5+21 x^4-44 x^3+68 x^2-64 x+41 \\ = & (x^3+9 x^2+32 x+41) \circ (x^2-2 x). \end$

Uniqueness

A polynomial may have distinct decompositions into indecomposable polynomials where $f = g_1 \circ g_2 \circ \cdots \circ g_m = h_1 \circ h_2 \circ \cdots\circ h_n$ where $g_i \neq h_i$ for some $i$. 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 $m = n$, and the degrees of the components are the same up to linear transformations, but possibly in different order; this is Ritt's polynomial decomposition theorem. For example, $x^2 \circ x^3 = x^3 \circ x^2$.

Applications

A polynomial decomposition may enable more efficient evaluation of a polynomial. For example,
:$\begin & x^8 + 4 x^7 + 10 x^6 + 16 x^5 + 19 x^4 + 16 x^3 + 10 x^2 + 4 x - 1 \\ = & \left(x^2 - 2\right) \circ \left(x^2\right) \circ \left(x^2 + x + 1\right) \end$
can be calculated with 3 multiplications and 3 additions using the decomposition, while Horner's method would require 7 multiplications and 8 additions.

A polynomial decomposition enables calculation of symbolic roots using radicals, even for some irreducible polynomials. This technique is used in many computer algebra systems. For example, using the decomposition

:$\begin & x^6 - 6 x^5 + 15 x^4 - 20 x^3 + 15 x^2 - 6 x - 1 \\ = & \left(x^3 - 2\right) \circ \left(x^2 - 2 x + 1\right), \end$

the roots of this irreducible polynomial can be calculated asWhere each ± is taken independently.

:$1 \pm 2^, 1 \pm \frac.$

Even in the case of quartic polynomials, where there is an explicit formula for the roots, solving using the decomposition often gives a simpler form. For example, the decomposition

:$\begin & x^4 - 8 x^3 + 18 x^2 - 8 x + 2 \\ = & (x^2 + 1) \circ (x^2 - 4 x + 1) \end$

gives the roots

:$2 \pm \sqrt$

but straightforward application of the quartic formula gives equivalent results but in a form that is difficult to simplify and difficult to understand; one of the four roots is:

:$2-- .$

Algorithms

The first algorithm for polynomial decomposition was published in 1985, though it had been discovered in 1976,Richard Zippel
Functional Decomposition
1996. and implemented in the Macsyma/ Maxima computer algebra system. That algorithm takes exponential time in worst case, but works independently of the characteristic of the underlying field.

A 1989 algorithm runs in polynomial time but with restrictions on the characteristic.

A 2014 algorithm calculates a decomposition in polynomial time and without restrictions on the characteristic.

Notes

References

* {{cite book , author=Joel S. Cohen , chapter=Chapter 5. Polynomial Decomposition , title=Computer Algebra and Symbolic Computation , year=2003 , isbn=1-56881-159-4

Polynomials
Computer algebra