Square-free polynomial

Square-free polynomial

In mathematics, a square-free polynomial is a polynomial with no square factors, i.e, f in F [x] is square-free if and only if b^2 mid f for every b in F [x] with non-zero degree. This definition implies that no factors of higher order can exist, either, for if b^3 divided the polynomial, then b^2 would divide it also. In applications in physics and engineering, a square-free polynomial is much more commonly called a polynomial with no repeated roots.

Any separable polynomial is square-free. Conversely, if the field "F" is perfect, all square-free polynomials over "F" are separable. In particular, if "f" is a square-free polynomial over a perfect field, then the greatest common divisor of "f" and its formal derivative "f" ′ is 1.

A square-free factorization of a polynomial is a factorization into powers of square-free factors, i.e:

:f(x) = a_1(x) a_2(x)^2 a_3(x)^3 cdots a_n(x)^n

where the a_k(x) are pairwise coprime square-free polynomials. Clearly, any non-zero polynomial admits a square-free factorization, since it could be factored into irreducible factors and the multiplicity of each irreducible factor counted to determine which a_k(x) it is part of.

The utility of a square-free factorization is that it is generally easier to compute than a full irreducible factorization. For this reason, square-free factorization is often used as the first step in polynomial factorization or root-finding algorithms.

Over fields of characteristic 0, only differentiation, polynomial division, and GCD calculation (which can be done using the Euclidean algorithm) is required to compute the square-free factorization. Let "f" be a non-zero polynomial, decomposed into square-free factors as above. Consider any irreducible factor "q" of "f": we may write f=q^kh, where "k">0 and q mid h. By the product rule,:f'=k,q^{k-1}q'h+q^kh'.As the characteristic is 0, "q" does not divide "k", "q"′, or "h", thus q^k midgcd(f,f') and q^{k-1}midgcd(f,f'). That is, the multiplicity of any irreducible factor in gcd(f,f') is one less than its multiplicity in "f", so

:gcd(f,f') = a_2a_3^2 cdots a_n^{n-1} and frac{f}{gcd(f,f')}= a_1a_2cdots a_n.

Now, if we compute recursively

:f_0=f,, f_1=gcd(f_0,f_0'),, f_2=gcd(f_1,f_1'),, f_3=gcd(f_2,f_2'),, dots

we obtain the polynomials

:g_k:=frac{f_{k-1{f_k}=a_ka_{k+1}cdots a_n,

from which we recover the square-free factors as a_k=frac{g_k}{g_{k+1.

A modification of this algorithm also works for polynomials over finite fields, or more generally, perfect fields of non-zero characteristic "p", if we know an algorithm to compute "p"-th roots of elements of the field.


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