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algebra Algebra is a branch of mathematics that deals with abstract systems, known as algebraic structures, and the manipulation of expressions within those systems. It is a generalization of arithmetic that introduces variables and algebraic ope ...
, the factor theorem connects polynomial factors with polynomial roots. Specifically, if f(x) is a polynomial, then x - a is a factor of f(x) if and only if f (a) = 0 (that is, a is a root of the polynomial). The theorem is a special case of the polynomial remainder theorem. The theorem results from basic properties of addition and multiplication. It follows that the theorem holds also when the coefficients and the element a belong to any
commutative ring In mathematics, a commutative ring is a Ring (mathematics), ring in which the multiplication operation is commutative. The study of commutative rings is called commutative algebra. Complementarily, noncommutative algebra is the study of ring prope ...
, and not just a field. In particular, since multivariate polynomials can be viewed as univariate in one of their variables, the following generalization holds : If f(X_1,\ldots,X_n) and g(X_2, \ldots,X_n) are multivariate polynomials and g is independent of X_1, then X_1 - g(X_2, \ldots,X_n) is a factor of f(X_1,\ldots,X_n) if and only if f(g(X_2, \ldots,X_n),X_2, \ldots,X_n) is the zero polynomial.


Factorization of polynomials

Two problems where the factor theorem is commonly applied are those of factoring a polynomial and finding the roots of a polynomial equation; it is a direct consequence of the theorem that these problems are essentially equivalent. The factor theorem is also used to remove known zeros from a polynomial while leaving all unknown zeros intact, thus producing a lower degree polynomial whose zeros may be easier to find. Abstractly, the method is as follows:. # Deduce the candidate of zero a of the polynomial f from its leading coefficient a_n and constant term a_0. (See Rational Root Theorem.) # Use the factor theorem to conclude that (x-a) is a factor of f(x). # Compute the polynomial g(x) = \dfrac , for example using polynomial long division or synthetic division. # Conclude that any root x \neq a of f(x)=0 is a root of g(x)=0. Since the polynomial degree of g is one less than that of f, it is "simpler" to find the remaining zeros by studying g. Continuing the process until the polynomial f is factored completely, which all its factors is irreducible on \mathbb /math> or \mathbb /math>.


Example

Find the factors of x^3 + 7x^2 + 8x + 2. Solution: Let p(x) be the above polynomial :Constant term = 2 : Coefficient of x^3=1 All possible factors of 2 are \pm 1 and \pm 2 . Substituting x=-1, we get: :(-1)^3 + 7(-1)^2 + 8(-1) + 2 = 0 So, (x-(-1)), i.e, (x+1) is a factor of p(x). On dividing p(x) by (x+1), we get : Quotient = x^2 + 6x + 2 Hence, p(x)=(x^2 + 6x + 2)(x+1) Out of these, the quadratic factor can be further factored using the quadratic formula, which gives as roots of the quadratic -3\pm \sqrt. Thus the three irreducible factors of the original polynomial are x+1, x-(-3+\sqrt), and x-(-3-\sqrt).


Proofs

Several proofs of the theorem are presented here. If x-a is a factor of f(x), it is immediate that f(a)=0. So, only the converse will be proved in the following.


Proof 1

This proof begins by verifying the statement for a = 0. That is, it will show that for any polynomial f(x) for which f(0) = 0, there exists a polynomial g(x) such that f(x) =x\cdot g(x). To that end, write f(x) explicitly as c_0 +c_1 x^1 + \dotsc + c_n x^n. Now observe that 0 = f(0) = c_0, so c_0 = 0. Thus, f(x) = x(c_1 + c_2 x^1 + \dotsc + c_ x^) = x \cdot g(x). This case is now proven. What remains is to prove the theorem for general a by reducing to the a = 0 case. To that end, observe that f(x + a) is a polynomial with a root at x = 0. By what has been shown above, it follows that f(x + a) = x \cdot g(x) for some polynomial g(x). Finally, f(x) = f((x - a) + a) = (x - a)\cdot g(x - a).


Proof 2

First, observe that whenever x and y belong to any commutative ring (the same one) then the identity x^n - y^n = (x - y)(y^ + x^1 y^ + \dotsc + x^y^ + x^) is true. This is shown by multiplying out the brackets. Let f(X) \in R\left X \right/math> where R is any commutative ring. Write f(X) = \sum_i c_i X^i for a sequence of coefficients (c_i)_i. Assume f(a) = 0 for some a \in R. Observe then that f(X) = f(X) - f(a) = \sum_ c_i(X^i - a^i). Observe that each summand has X - a as a factor by the factorisation of expressions of the form x^n - y^n that was discussed above. Thus, conclude that X - a is a factor of f(X).


Proof 3

The theorem may be proved using Euclidean division of polynomials: Perform a Euclidean division of f(x) by (x-a) to obtain f(x) = (x - a) Q(x)+ R(x) where \deg(R) < \deg(x - a) . Since \deg(R) < \deg(x - a) , it follows that R is constant. Finally, observe that 0 = f(a) = R. So f(x) = (x - a)Q(x) . The Euclidean division above is possible in every commutative ring since (x - a) is a
monic polynomial In algebra, a monic polynomial is a non-zero univariate polynomial (that is, a polynomial in a single variable) in which the leading coefficient (the nonzero coefficient of highest degree) is equal to 1. That is to say, a monic polynomial is one ...
, and, therefore, the polynomial long division algorithm does not involve any division of coefficients.


Corollary of other theorems

It is also a
corollary In mathematics and logic, a corollary ( , ) is a theorem of less importance which can be readily deduced from a previous, more notable statement. A corollary could, for instance, be a proposition which is incidentally proved while proving another ...
of the polynomial remainder theorem, but conversely can be used to show it. When the polynomials are multivariate but the coefficients form an
algebraically closed field In mathematics, a field is algebraically closed if every non-constant polynomial in (the univariate polynomial ring with coefficients in ) has a root in . In other words, a field is algebraically closed if the fundamental theorem of algebra ...
, the Nullstellensatz is a significant and deep generalisation.


References

{{reflist Theorems about polynomials