Why the final part of the polynomial chapter matters
Polynomial division and gcds are not isolated techniques. They support two large tools that appear throughout later mathematics:
- partial fraction decomposition, which rewrites rational functions into simpler pieces;
- root-coefficient relations, especially Vieta's formulas, which let us compute symmetric expressions in roots without solving for the roots one by one.
Both tools depend on earlier results. Partial fractions need polynomial division, factorization, and relative primality. Vieta's formulas need the factorization of a polynomial over .
Rational functions and the polynomial part
Definition
Rational function
A rational function is a quotient
where and .
The first step in any partial fraction problem is to separate the polynomial part. If , the division algorithm gives
Therefore
Only the proper rational function still needs decomposition.
Here “nonzero denominator” means that the denominator is not the zero polynomial. It can still vanish at particular real inputs; those inputs are excluded from the domain of the displayed quotient. Clearing denominators produces a polynomial identity, but evaluating the original fractions still requires nonzero denominators. If a common factor is cancelled, remember any excluded input when interpreting the original expression as a function.
A fraction is proper when its numerator has smaller degree than its denominator; otherwise it is improper. The zero remainder is allowed, using the convention that its degree is negative infinity. A constant nonzero denominator leaves only a polynomial part. When the original fraction is already proper, the quotient in division is zero, so no preliminary arithmetic is needed. These cases belong to the same division theorem, rather than requiring different decomposition rules.
The polynomial part is unique because the quotient and remainder are unique. In particular, a nonzero polynomial cannot be hidden inside a sum of proper fractions: after putting that sum over a common denominator, its numerator still has smaller degree. This degree comparison will also close the existence proof below.
Splitting relatively prime denominator factors
Suppose
and . For a proper rational function , Bezout's identity gives polynomials with
Multiplying by and dividing by gives
Then divide the numerators by and to reduce their degrees. The result is a unique decomposition
This is the structural reason partial fractions work.
Proof: Where existence and uniqueness use different hypotheses
The preliminary Bezout numerators need not have the required degrees. Write
It is essential that the second division uses the second denominator. On substitution and multiplication by the common denominator, we obtain
Both the original remainder and the last two terms have degree strictly below the degree of the product denominator. Thus, if the polynomial sum of the two quotients were nonzero, its product with that denominator would have degree at least that of the denominator, an impossibility. The quotient contributions therefore cancel exactly. This proves existence with the required degree bounds.
For uniqueness, suppose another pair of reduced numerators gives the same fraction. Subtraction gives the polynomial identity
Consequently the first denominator divides the product on the left. Since the two denominator factors are relatively prime, Euclid's divisibility lemma shows that the first denominator divides the difference of the first numerators. That difference has smaller degree, so it must be zero. The identity then forces the other difference to be zero as well. Coprimality is used to remove the unwanted factor; the degree bound is used to turn divisibility into equality. Neither step can be omitted.
For several pairwise relatively prime factors, repeat this splitting argument. Group all occurrences of the same irreducible factor into a single power before splitting: distinct irreducible factors are coprime, and their powers remain coprime. Two copies of the same linear factor are not coprime, so the same argument cannot separate them directly.
Theorem
Partial fraction shape over R
If the denominator factors as
where , the linear factors are distinct, and the monic quadratic factors are distinct and irreducible over , then every rational function can be written uniquely as a polynomial plus terms of the forms
After coprime splitting, the grouped numerators satisfy and in the expansions below. Repeated linear factors require one constant numerator for each power:
Repeated irreducible quadratic factors require linear numerators:
For a real monic quadratic, irreducibility means that its discriminant is negative. A quadratic with two real roots must first be split into linear factors; a quadratic with a repeated real root belongs to the repeated-linear case. The constant factor in the denominator can be kept as an overall factor of its reciprocal or absorbed into the unknown coefficients, but the two conventions must not be mixed.
The numerator bound refers to the irreducible base factor, not to the full power in an individual final term. Over a linear factor, “degree less than one” means a constant. Over an irreducible quadratic, “degree less than two” means at most linear, so a constant or zero numerator is also allowed. Saying “linear numerator” describes the general template, not a requirement that its leading coefficient be nonzero.
To see why all powers occur, put and divide . Then
Repeat on the remaining numerator. Every division has a unique quotient and remainder; the degree drops sufficiently to stop at the first power. Division by a linear base works identically, with constant remainders. Thus the list of powers records repeated division, and its uniqueness comes from that same algorithm.
Worked example
Set up a partial fraction decomposition
Resolve
into partial fractions.
First divide:
Then write
Clear denominators before doing coefficient comparison:
Equating the quadratic, linear, and constant coefficients gives
Although substitution into the original fraction at the pole is forbidden, substitution into this polynomial identity is valid. Setting gives , and the first two coefficient equations then determine the remaining unknowns. Comparing coefficients gives
Thus
Telescoping from partial fractions
Partial fractions often convert a complicated finite sum into a telescoping one. Consider
The coefficients can be checked by clearing the three denominators and substituting their roots into the resulting polynomial identity. At the three roots, respectively, this gives , , and . The resulting identity holds whenever the original denominator is nonzero. All positive integer inputs meet this condition.
For complete boundary accounting, set and denote the sum by . Substituting the decomposition gives
Rewrite each summand as . Each of these two sums telescopes separately, so for every positive integer , including ,
This arrangement avoids assuming that an interior range is nonempty. In the expanded sum, an interior odd denominator receives weights one, two, and negative three, whose sum is zero; the two initial and two final boundary contributions survive. Returning to the original sum gives
The main lesson is not the particular numbers; it is the method. Decompose first, then check whether shifted denominator patterns cancel in a finite sum.
Vieta's formulas
Let
By the fundamental theorem of algebra,
where the roots are counted with multiplicity. To obtain the coefficient of , choose a root term from exactly factors and choose from the others. Each selection contributes one product with sign . Increasing indices count each selection once. The argument counts factor positions, so repeated root values do not invalidate it; they must still appear as often as their multiplicities require.
Theorem
Vieta's formulas
For ,
For a cubic
with roots , this says
Worked example
Power sums for cubic roots
Let the roots of
be , and write .
Then
For the cubic sum, let denote the three elementary symmetric sums just displayed. Expanding the cube of the first sum counts each mixed term with two equal indices three times, and the product of all three roots six times. Meanwhile, the product of the first and second elementary sums contains each of those mixed terms once and the three-root product three times. Eliminating the mixed terms yields
The plus sign on the last term compensates for over-subtraction. Substituting Vieta, including the negative sign in the root product, gives
The useful habit is to rewrite nonsymmetric-looking expressions in terms of symmetric sums that Vieta controls.
There is also a useful independent check using the defining cubic. Every root satisfies the polynomial equation, so summing the three equations gives
The constant term occurs three times because there are three roots counted with multiplicity. Insert the already computed first and second power sums and solve for the third; the same expression follows. This method never requires the roots to be distinct, real, or explicitly known. It checks both the denominator power and the signs in the expansion method.
For higher sums, multiply each root equation by the same nonnegative integer power of that root before summing. The resulting relation is
The initial value counts roots, including any zero root, so its definition is a count rather than an instruction to evaluate an ambiguous zero power. This relation explains why a small set of symmetric data can control later power sums. In the capstone below, only the first three sums are needed.
Optional interpolation viewpoint
Lagrange interpolation constructs a polynomial from prescribed values. If
have distinct , then there is a unique polynomial of degree at most passing through those points.
For each , define
Then , so
has the required values. Uniqueness follows from the root bound: the difference of two such polynomials has degree at most and roots, so it must be zero.
Concept lensStructural
Point values replace coefficient data
The distinct-node condition makes every denominator in the basis polynomials nonzero. At its own node a basis polynomial equals one, because every factor is one; at another node one numerator factor vanishes. Thus each basis polynomial changes one prescribed value while contributing zero at the other nodes. The interpolation sum must include all the nodes, including the last.
This proves existence constructively. The difference argument proves uniqueness independently of that formula. The degree restriction is essential: adding any multiple of the product of all the node factors preserves every prescribed value, but generally raises the degree. Repeated nodes would require a different problem statement; the displayed formula is not defined there.
Proof sketch or proof idea
The two principal arguments have different starting points. Partial fractions use division to impose degree bounds, Bezout to separate coprime factors, and successive remainders to handle powers. Vieta begins with root factorization and counts contributions to each coefficient. The counterexamples below test the partial-fraction hypotheses; the tangent example then combines the coefficient viewpoint with de Moivre's theorem.
Counterexample mode
A missing term can make the coefficient system impossible
A proposed shortcut for a repeated denominator is to keep only the highest power with a constant numerator. Test it on the rational function . If this were equal to , clearing denominators would say that the nonconstant polynomial equals a constant. This is impossible. The failure is in the chosen form, so solving more carefully for the same single unknown cannot repair it.
To repair the claim, let , so . The numerator becomes
Division by the fourth power of the shifted variable gives all four layers:
This also illustrates why the coefficients above different powers have separate roles. Multiplying back by the common denominator recovers distinct powers of the shifted variable; suppressing one layer suppresses an available coefficient. All equalities of the fractions retain the exclusion .
A different incomplete template is a constant numerator above every quadratic. The proper fraction cannot equal , since clearing the nonvanishing denominator would require identically. The repair is to allow the full at-most-linear numerator. A coefficient may turn out to be zero after solving, but it must not be forced to be zero before the identity has been checked.
Worked example
Read a partial-fraction form before solving coefficients
Write the correct partial-fraction form for
over .
The factor is a repeated linear factor, so it contributes
The factor is an irreducible quadratic over , and it is repeated to power , so it contributes
Thus the full form is
At this stage we are not solving for . We are first making sure the shape has every required denominator power and the correct numerator degree.
We can now determine the remaining coefficients in this decomposition. The original expression is even. Replacing the variable by its negative and using uniqueness forces the coefficients of all the odd terms to vanish, so . To determine the other three coefficients, clear the common denominator:
The constant coefficient gives . The fourth-degree coefficient gives , so . Finally, the quadratic coefficient gives , so . Thus the identity simplifies to
This verification distinguishes a zero coefficient, justified by the completed identity, from an omitted term in the initial general template. The only real excluded input is zero, since the quadratic factor is positive everywhere.
Worked example
Use Vieta in the tangent capstone
To connect a trigonometric equation with its roots, first derive the polynomial. Let , with and . De Moivre's theorem gives
Separate the even and odd powers in the binomial expansion. Their alternating signs come from successive powers of the imaginary unit:
These are the imaginary and real parts, respectively. Factoring them, which can be checked by multiplication, gives
Taking the imaginary part divided by the real part therefore proves
The condition on the ninth-angle cosine is exactly what makes this denominator nonzero: the real-part identity says . We have not extended the tangent formula through its poles by algebraic simplification.
Now take the angles . They lie strictly between zero and , and their ninth-angle cosines are respectively negative one, one, and one. The quotient is therefore defined, and its numerator vanishes because the corresponding ninth-angle sines vanish. Each tangent is positive, so the factor is nonzero. None of these angles equals ; strict monotonicity of tangent on this interval implies that none has tangent . Thus the factor is nonzero too. Only after checking these facts may we conclude that the degree-six factor vanishes.
Putting now reduces the three numbers
to roots of . The three positive tangents are distinct, so their squares are distinct too. A cubic has at most three roots; we have therefore identified its complete root list. Let these roots be . Vieta's formulas give
and
Since the three tangent values are positive, their product is the positive square root of :
For the sixth-power sum, rewrite as
Substitution gives .
Common mistakes
Common mistake
Skipping denominator powers
For a repeated factor such as , one term over is not enough. The form must include every power from through .
Common mistake
Using constant numerators over irreducible quadratics
Over , a term over needs a numerator of degree less than , so the general numerator is , not just a constant.
Common mistake
Applying Vieta to non-symmetric expressions directly
Vieta gives sums of products of roots, not arbitrary individual roots. Before using it on a power sum or trigonometric product, rewrite the expression in terms of symmetric sums.
Summary
This note uses the algebraic machinery from the first two polynomial notes. Division separates polynomial and proper-rational parts. Bezout identities and relative primality explain why denominator factors split. Repeated powers determine the number of partial-fraction terms. Vieta's formulas compare the root-factor form of a complex polynomial with its coefficient form, allowing root sums and products to be computed without solving the polynomial.
Study guide for the exercises
For exercises 1–4, first distinguish writing the general form from determining its coefficients. Clear denominators only after every required power has been included; use the resulting polynomial identity for substitution or coefficient comparison. In the finite sum, retain both initial and final boundary terms.
For exercises 5–6, name the three squared tangent values before applying Vieta. The polynomial controls their symmetric sums; positivity of the unsquared tangent values separately fixes the sign of the product. If deriving the cubic yourself, verify the tangent denominator and both removed numerator factors before concluding that the remaining factor vanishes.
Quick checks
Checkpoint
Why do we first divide by before doing partial fractions?
Check the degree requirement on the remaining fraction.
Solution · Answer
Partial fraction shapes are for proper rational functions. Division separates the polynomial part and leaves a remainder with .
Checkpoint
What numerator shape belongs above an irreducible quadratic factor such as ?
Use the degree rule for the numerator.
Solution · Answer
The numerator has degree at most one, so it has the form ; is allowed.
Checkpoint
For , what is the product of the three roots?
Use the cubic Vieta formula.
Solution · Answer
For a monic cubic, the product is . Here , so the product is .
Exercises
- Write the correct partial fraction form for .
- Write the correct partial fraction form for .
- Resolve into partial fractions.
- Use the result of exercise 3 to evaluate .
- Let be the roots of . Compute , , and .
- Use root-coefficient relations to evaluate a trigonometric product. Suppose are , , and , and they are the roots of . Deduce .
Solution · Model solution 1
Since , the form is .
Solution · Model solution 2
The form is .
Solution · Model solution 3
The decomposition is .
Solution · Model solution 4
Substitute , sum, and align shifted odd denominators. The result is .
Solution · Model solution 5
Vieta gives , , and , respectively.
Solution · Model solution 6
The product of the three squared tangent values is . Since each tangent is positive for the angles shown, the product of the tangents is .