Pure 2.10 - Partial fractions
One fraction can hide several simpler ones. Learn how to uncover those pieces, handle repeated factors and check that your answer is an identity. This prepares rational functions for later integration, differentiation and series work.
Reverse the common-denominator process
Can you recover two fractions after somebody has added them together? For example,
The right-hand side looks more complicated, although its value has not changed. Partial fractions run that calculation backwards.
You already know
To add algebraic fractions, use a common denominator and multiply each numerator by the missing factor. A fraction is undefined wherever its denominator is zero.
The original denominator restrictions survive the rewriting: here . Writing a simpler expression never makes an excluded input legal.
Partial-fraction decomposition
A partial-fraction decomposition expresses a rational function as a sum of fractions with simpler denominators. For example, the two fractions above decompose the single fraction. The pieces form an identity wherever the original expression is defined.
Our denominators contain distinct linear factors or squared linear factors; the decomposition has at most three terms. The original numerator is constant or linear. These are the forms to recognise:
| Denominator | Form of the decomposition |
|---|---|
Here each linear factor has non-zero coefficient of ; factors described as distinct have different roots. The letters , and are constants to find. These decomposition forms are not in the formula booklet: learn them.
A surprising feature is uniqueness. In the opening example, if two decompositions existed, subtracting their cleared identities would give . Setting forces ; setting forces . There is no second pair waiting to be found.
Key idea
Choose the denominator structure first; the unknown constants come afterwards.
For a repeated factor, the table includes both powers because they provide different numerator contributions when the pieces are recombined.
Use two distinct linear factors
Make the factors work for you: after clearing denominators, their roots switch off unwanted terms. The resulting polynomial identity is valid for every real , even though the original fractions have excluded inputs.
Two distinct linear factors
For distinct linear factors and a numerator of lower degree than the denominator,
The fractions are used only where their denominators are non-zero.
Not in the formula booklet: learn it.
The symbol means an identity: the expressions agree for every allowed input. Multiplying by the common denominator produces an identity without fractions. We can then choose inputs purely to simplify that identity.
Worked example 1: switch off one term at a time
Question. Express in partial fractions.
Plan. Write one constant over each factor, clear denominators, then substitute the two factor roots.
Why these inputs? Each makes one coefficient term vanish, leaving one unknown.
Answer. , , so
Check. The recombined numerator is .
Change just the numerator next, from to . The denominator method stays exactly the same, but one constant becomes negative.
Worked example 2: a constant numerator
Question. Express in partial fractions.
Plan. Use the same denominator form and isolate each constant.
Why can the numerator be constant? The coefficients of in the two recombined pieces can cancel.
Answer.
Check. , so the numerator is correct.
A minus sign belongs to the coefficient, not to a silently changed denominator.
Watch out
The wrong line changes the function. If a coefficient is negative, keep it: is a valid partial fraction.
Try another constant numerator; keep the denominator factors visible in your working.
Handle up to three distinct factors
Three different roots let you isolate three constants without solving a simultaneous system. A factor such as is just as useful as : solve it carefully before substituting.
Worked example 3: a non-monic factor
Question. Decompose .
Plan. Put a constant over each factor and substitute its root into the cleared identity.
The products come from cancelling each term's own denominator.
Why ? It is the root of , so only the term survives.
Answer.
Check. The combined numerator is
Change only the numerator to . This tests whether you can keep the same structure when the term disappears.
Worked example 4: cancellation of quadratic and linear terms
Question. Decompose .
Plan. Use the same three root substitutions.
Why retain three terms? A simpler numerator does not remove denominator factors.
Answer.
Check. At , both sides equal ; expanding the combined numerator gives the constant .
All these identities exclude . The substitutions were made into polynomials, not the original fractions.
Exam tip
Show the cleared identity before substituting roots. It makes your method visible even if one arithmetic sign slips.
Doubling the constant numerator changes the constants, while the factor roots stay fixed.
Include every power of a repeated factor
A squared factor needs both a first-power and a squared-denominator term. After multiplying out, those terms contribute different polynomials, so one generally cannot replace the other.
A repeated linear factor
For distinct linear factors,
Use the identity only where denominators are non-zero.
Not in the formula booklet: learn it.
The repeated root isolates the coefficient over the highest power. Find the remaining coefficient using another input or by comparing coefficients.
Worked example 5: find the missing coefficient
Question. Decompose .
Plan. Include all three terms, use the two roots, then substitute zero.
Why use zero last? Neither root leaves the term alive, so a fresh input supplies the missing equation.
Answer. , , , giving
Check. .
Change only the constant term of the numerator, from to . The same inputs still isolate the same coefficients.
Worked example 6: use coefficient comparison last
Question. Decompose .
Plan. Find and from roots, then compare the quadratic coefficients.
Why can be zero? The general form must allow every power, but the particular function may cancel one of them.
Answer. , , , so
Check. The right side is , equal to the original after cancelling . Still exclude .
A zero coefficient is a result of solving the identity, not permission to guess a missing term beforehand.
Watch out
Writing only omits a necessary degree of freedom. Start with included; remove it only if the algebra gives .
Now change the numerator's constant once more and solve all three coefficients.
Verify the identity and prepare for later use
A numerical spot-check can find an error, but one successful input does not establish an identity. Recombining the pieces proves equality for every allowed input and catches denominator-sign errors.
Worked example 7: verify by recombining
Question. Verify .
Plan. Combine the right-hand side and compare its numerator with the left-hand side.
Why recombine? Agreement of the entire numerator proves the identity, rather than testing only selected inputs.
Answer. The identity holds for .
Check. At , each side is .
Change only the sign of the second coefficient. That small change gives a different numerator, so a claimed identity must be checked again.
Worked example 8: reject an incorrect identity
Question. Is equal to ?
Plan. Recombine the proposed fractions without altering their denominator signs.
Why retain the subtraction through the whole bracket? It changes both terms of .
Answer. The claim is false: the numerator is , not .
Check. At , the proposed pieces total , whereas the target equals .
The opening fraction has now been recovered and checked. Later, splitting rational functions lets you integrate linear-denominator terms as logarithms, differentiate separate negative powers and expand suitable pieces as series. The relevant calculus rules and series validity intervals are taught in their own lessons; the essential preparation here is a correct identity.
Problem-solving
Choose the decomposition to expose the factors, solve the constants in the cleared identity, then recombine before using the result elsewhere.
A different second coefficient gives one final local check.
Quick Recap
- Use one constant over each distinct linear factor.
- Include both denominator powers for a squared linear factor.
- Substitute roots into the cleared polynomial identity, not the original fractions.
- Recombine to prove your answer, retaining the original excluded inputs.
The opening fraction splits uniquely into : clearing denominators reveals the pieces.