Mf1, Mf2 - Polynomials, division and the factor theorem
A polynomial equation becomes much friendlier when you can see its factors. Use Mf1 to expand and divide polynomials, then Mf2 to justify factors, recover unknown coefficients and find every real root of equations through degree four.
Polynomial terms and operations
Can a fourth-degree equation have four simple whole-number solutions? Try : both and work. We will turn those clues into a complete solution, rather than trusting a list of guesses.
You already know
Distribute every term when expanding brackets. The zero-product rule turns a complete factorisation into a complete solution: at least one factor must be zero.
Polynomials organise algebra by whole-number powers.
Polynomial
A polynomial in is a sum of constant multiples of non-negative integer powers of . The degree of a non-zero polynomial is its highest power with a non-zero coefficient. For example, has degree , despite its missing powers. A quadratic has degree ; its graph is a parabola. The expressions and are not polynomials in .
Only terms with the same power combine. Write them in descending order so that missing contributions stand out.
Worked example 1: multiply polynomials
Question. Expand .
Plan. Multiply each term in the first bracket by the whole second bracket.
Why this step? Both brackets contribute to the middle powers; neither contribution can be skipped.
Answer. .
Check. At , the product is , and the expansion is .
Change one feature: subtract a further polynomial from the product.
Worked example 2: subtraction after expansion
Question. Simplify .
Plan. Expand first and distribute the subtraction across the final bracket.
Why this step? The term is being subtracted, so it contributes .
Answer. .
Check. At , the expression gives , matching .
To reverse expansion, take out a common factor or group terms. For example,
These rules are not in the formula sheet: learn them.
Watch out
Wrong: . Right: unlike powers stay separate. Addition collects coefficients of equal powers; multiplication adds exponents.
Use a new multiplier but keep the subtraction decision.
Dividing by a linear polynomial
Polynomial division removes the highest remaining power at each step. Mf1 uses linear divisors; division by non-linear expressions is outside this requirement.
Quotient and remainder identity
For a linear divisor , where ,
The polynomial is the quotient; is a constant remainder. The divisor is a factor exactly when .
Not in the formula sheet: learn it.
The identity is more than a layout: multiplication back checks every coefficient.
Worked example 3: linear division
Question. Divide by .
Plan. Select each quotient term to cancel the highest remaining power.
Why this step? The remainder has smaller degree after each subtraction, so the division makes progress.
Answer. Quotient , remainder .
Check. .
Change only the constant term of the dividend. All quotient terms stay the same, but the remainder changes.
Worked example 4: a non-zero remainder
Question. Divide by .
Plan. Repeat the division, carrying the new constant through each subtraction.
Why this step? A constant remainder is allowed. It need not be smaller than the divisor's coefficients.
Answer. Quotient , remainder .
Check. Multiplying back gives .
A linear divisor need not be monic. Here is the same leading-term routine when its coefficient is .
Worked example 5: a non-monic linear divisor
Question. Divide by .
Plan. Divide each leading remainder term by , then subtract the whole product.
Why this step? Dividing by , rather than , makes the quotient's last term . A fractional coefficient is perfectly valid.
Answer. Quotient , remainder .
Check. Multiplication gives .
Any correct division method is valid, including coefficient comparison. If a power is missing, include its zero coefficient: .
Watch out
Wrong: call the remainder. Right: the remainder in the polynomial identity is ; the fraction appears only after dividing that identity by .
Change the constant again and keep track of it to the end.
Why a zero gives a factor
Substitute into . The product vanishes and . This is why a single evaluation can certify a whole linear factor.
Factor theorem
For a polynomial ,
Both directions hold. A zero of is an input at which its value is zero.
Not in the formula sheet: learn it.
A rejected input rejects only its own factor. You still need an argument to say there are no other roots.
Worked example 6: establish a factor
Question. Show that is a factor of , then factorise completely.
Plan. Substitute , divide and factorise the quotient.
Why this step? Complete factorisation may need irrational roots. Integer trials do not locate every real root.
Answer.
Check. The last two factors have root sum and product , so their product is ; multiplying by restores the cubic.
Change the proposed factor to . Its zero is now positive; the theorem itself is unchanged.
Worked example 7: a different proposed zero
Question. Show that is a factor of , then factorise completely.
Plan. Evaluate at , divide and factorise the quadratic.
Why this step? A zero evaluation proves the first factor; division supplies the remaining factor exactly.
Answer. .
Check. Multiplying gives .
For a factor such as , find the zero first: it is , so test . This is the same theorem, since .
Exam tip
MEI's “Show that” requires evidence leading to the supplied result. Show the substituted terms and zero, then name the factor-theorem conclusion; a repeated assertion is not a proof.
Keep a positive proposed zero, with a new cubic.
Finding roots and unknown coefficients
A known factor can determine a missing coefficient before you solve the equation.
Worked example 8: a known cubic
Question. Solve .
Plan. Group terms to reveal a shared bracket, then use the zero-product rule.
Why this step? Grouping finds the factors directly; a trial-and-division routine is not compulsory.
Answer. .
Check. Substitution gives respectively , and .
Change one feature: the coefficient of is unknown, but the factor is given.
Worked example 9: a coefficient fixed by a factor
Question. is a factor of . Find and solve .
Plan. Impose , then factorise the resulting cubic.
Why this step? The factor gives an equation for , rather than another guess to make.
Answer. , with roots .
Check. The factor product expands to , confirming the coefficient.
For integer-coefficient polynomials, any non-zero integer root divides the constant term: if , its other terms are all multiples of . Use that to choose sensible trials, but remember that roots need not be integers.
Watch out
Wrong: is a factor, so substitute . Right: substitute , the input making that factor zero.
Now apply the same method with a different supplied factor.
Solving equations through degree four
Mf2 includes polynomial equations through degree . Some quartics are quadratics in disguise; others need successive linear factors. No general quartic formula is needed.
Worked example 10: a quadratic in a square
Question. Solve .
Plan. Set , solve the quadratic and recover both square roots.
Why this step? Solving for is not solving for . Each positive square gives two real roots.
Answer. .
Check. For , ; for , .
Change one feature: include odd powers, so the substitution no longer captures the whole equation. Return to the opening problem and divide by its known linear factors.
Worked example 11: successive linear divisions
Question. Solve .
Plan. Verify and , divide them out and solve the remaining quadratic.
Why this step? Each division is by a linear expression, within Mf1. The full product establishes that the root list is complete.
Answer. .
Check. Multiplying restores the given quartic.
A quartic can have fewer than four distinct real roots: gives , so only is real. Repeated factors count towards the degree without creating new values.
Watch out
Wrong: . Right: . If the squared quantity is negative, it gives no real roots.
Keep the successive-factor route, with new coefficients and supplied starting roots.
Quick Recap
- Expand and collect equal powers; factorisation reverses expansion.
- Division by a linear expression leaves a constant remainder, checked by multiplication back.
- if and only if is a factor; use this to find zeros or unknown coefficients.
- A quartic may reduce through or successive linear factors; recover every real root.
Yes, the opening quartic has four whole-number solutions: its factorisation gives , and proves there are no others.