Polynomial Remainder Theorem
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In
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 polynomial remainder theorem or little Bézout's theorem (named after Étienne Bézout) is an application of Euclidean division of polynomials. It states that, for every number r, any
polynomial In mathematics, a polynomial is a Expression (mathematics), mathematical expression consisting of indeterminate (variable), indeterminates (also called variable (mathematics), variables) and coefficients, that involves only the operations of addit ...
f(x) is the sum of f(r) and the product of x-r and a polynomial in x of degree one less than the degree of f. In particular, f(r) is the remainder of the Euclidean division of f(x) by x-r, and x-r is a
divisor In mathematics, a divisor of an integer n, also called a factor of n, is an integer m that may be multiplied by some integer to produce n. In this case, one also says that n is a '' multiple'' of m. An integer n is divisible or evenly divisibl ...
of f(x)
if and only if In logic and related fields such as mathematics and philosophy, "if and only if" (often shortened as "iff") is paraphrased by the biconditional, a logical connective between statements. The biconditional is true in two cases, where either bo ...
f(r)=0, a property known as the factor theorem.


Examples


Example 1

Let f(x) = x^3 - 12x^2 - 42. Polynomial division of f(x) by (x-3) gives the quotient x^2 - 9x - 27 and the remainder -123. By the polynomial remainder theorem, f(3)=-123.


Example 2

Proof that the polynomial remainder theorem holds for an arbitrary second degree polynomial f(x) = ax^2 + bx + c by using algebraic manipulation: \begin f(x)-f(r) &= ax^2+bx+c-(ar^2+br+c)\\ &= a(x^2-r^2)+ b(x-r)\\ &= a(x-r)(x+r)+b(x-r)\\ &= (x-r)(ax +ar+ b) \end So, f(x) = (x - r)(ax + ar + b) + f(r), which is exactly the formula of Euclidean division. The generalization of this proof to any degree is given below in .


Proofs


Using Euclidean division

The polynomial remainder theorem follows from the theorem of Euclidean division, which, given two polynomials (the dividend) and (the divisor), asserts the existence (and the uniqueness) of a quotient and a remainder such that :f(x)=Q(x)g(x) + R(x)\quad \text\quad R(x) = 0 \ \text \deg(R)<\deg(g). If the divisor is g(x) = x-r, where r is a constant, then either or its degree is zero; in both cases, is a constant that is independent of ; that is :f(x)=Q(x)(x-r) + R. Setting x=r in this formula, we obtain: :f(r)=R.


Direct proof

A
constructive proof In mathematics, a constructive proof is a method of mathematical proof, proof that demonstrates the existence of a mathematical object by creating or providing a method for creating the object. This is in contrast to a non-constructive proof (also ...
that does not involve the existence theorem of Euclidean divisionuses the identity :x^k-r^k=(x-r)(x^+x^r+\dots+xr^+r^). If S_ denotes the large factor in the right-hand side of this identity, and :f(x)=a_nx^n+a_x^ + \cdots + a_1x +a_0, one has :f(x)-f(r)=(x-r)(a_n S_n +\cdots + a_2S_2 +a_1), (since S_1=1). Adding f(r) to both sides of this equation, one gets simultaneously the polynomial remainder theorem and the existence part of the theorem of Euclidean division for this specific case.


Applications

The polynomial remainder theorem may be used to evaluate f(r) by calculating the remainder, R. Although polynomial long division is more difficult than evaluating the function itself, synthetic division is computationally easier. Thus, the function may be more "cheaply" evaluated using synthetic division and the polynomial remainder theorem. The factor theorem is another application of the remainder theorem: if the remainder is zero, then the linear divisor is a factor. Repeated application of the factor theorem may be used to factorize the polynomial.Larson, Ron (2011), Precalculus with Limits, Cengage Learning


References

{{Authority control Theorems about polynomials