A nonzero polynomial has degree when . The zero polynomial has no degree under our convention. For a nonzero divisor polynomial , polynomial long division gives unique with and either or .
Proof of the division algorithm. If the degree of the current remainder is at least , subtract the multiple of that cancels its leading term. Each subtraction strictly reduces the degree, so the process terminates. If two representations exist, . A nonzero left side would have degree at least , whereas the right side has smaller degree. Therefore both sides are zero, proving uniqueness.
Learning goals
Perform long division first, choose a complete decomposition pattern, solve coefficients, and verify the identity on its original domain. The aim is structural algebra; integration is an important later application rather than part of the definition.
Patterns and justification
For a nonzero denominator polynomial , the rational expression is proper if or . Otherwise use with proper. Factor over the real numbers. A factor requires
An irreducible real quadratic , with , repeated times requires for each . A constant numerator alone over a quadratic is generally insufficient. All identities apply where the original denominator is nonzero.
Theorem: decomposition over distinct linear factors
If with distinct real and , then
The coefficients are unique.
Proof. Multiply the proposed identity by . Its right side is a polynomial of degree at most . At only the th term survives and equals by the stated coefficient. The two polynomials agree at distinct points, so the root bound makes them identical. Any decomposition must have the same values of by the same substitutions, proving uniqueness. For repeated or quadratic factors, equating coefficients after clearing denominators is a reliable computational procedure; the calculation must still be checked.
Theorem: the complete repeated-factor pattern
Suppose a supplied real factorization is , where , the are distinct monic irreducible real polynomials of degree one or two, and . If or , there is a unique decomposition
where a zero numerator is allowed. Thus linear factors have constant numerators, while quadratic factors have numerators of degree at most one. Every power must be allowed, although its coefficient may turn out to be zero. This theorem assumes the displayed factorization; it does not prove that every real polynomial factors into linear and quadratic factors. All rational identities retain the original domain .
Proof. The polynomial division algorithm also gives the Euclidean algorithm: divide successive remainders until the last nonzero remainder, whose degree must strictly decrease at each step. Back-substitution writes that last remainder as a polynomial combination of the original pair. It divides both original polynomials, and every common divisor divides it. In particular, coprime polynomials admit after normalizing the last constant remainder. Consequently, if divides and are coprime, multiplying this identity by shows that divides .
Distinct monic irreducibles are coprime: a nonconstant divisor of either must be a constant multiple of that irreducible. An irreducible is prime by the preceding divisibility implication. Every nonconstant polynomial has an irreducible divisor: if it is reducible, repeatedly choose a nonconstant proper factor of smaller degree until this stops. Therefore the powers of distinct irreducibles are pairwise coprime. Put , and . The same observation gives , so choose with . Let , and let be the remainder of on division by . Then or , and divides .
For each , all the other are divisible by . Hence every divides . Pairwise coprimeness and the divisibility implication show, inductively, that their product divides this polynomial. If it were nonzero, its degree would be smaller than , contradicting divisibility by . Hence it is zero. Thus .
Repeated division of by gives a unique expansion with each remainder zero or of degree smaller than . Dividing by gives the displayed pattern with .
For uniqueness, subtract two decompositions and combine the terms over each into , with . After multiplication by , reduction modulo gives . Since has the inverse modulo , divides , forcing . Uniqueness in repeated polynomial division then forces every . This proves both existence and uniqueness.
Worked examples
Repeated factors. Decompose . Set
Clearing denominators gives . Substitution of gives ; gives ; the coefficient gives . Substitution back yields the original numerator. Omitting the term would make the decomposition impossible.
A quadratic and an improper expression. Long division gives
For the proper part write . The numerator identity is , so , , . Hence the answer is for . The quadratic has no real roots but still contributes two numerator coefficients.
Graded practice
- Foundation. Decompose .
- Core. Decompose and state its domain.
- Core. Decompose over the reals.
- Proof and diagnosis. A student proposes as a real-factor decomposition. Explain the issue, then prove that a real expression is identically zero only if .
Full solutions
- Write . At , ; at , . Thus the expression is on .
- Since , the result is , for . This is the full repeated-factor pattern.
- Clear denominators in to obtain . Therefore , , . The answer is , for .
- The proposed factors use nonreal numbers and describe a complex, not real, decomposition; they are not wrong over . Over , is irreducible. Since it is never zero on the real line, the identity implies for every real . Evaluating at gives and at gives .
Summary and term definitions
A proper rational expression has numerator degree smaller than denominator degree. An irreducible quadratic has no real linear factor. A partial-fraction decomposition is an identity of rational expressions on their common domain. Include every lower power of a repeated factor, allow a linear numerator over each quadratic power, and verify the cleared polynomial identity rather than trusting a coefficient guess.