Once the factor theorem links each zero to a factor, what does that force a polynomial to look like: how many zeroes can it have, when is it pinned down by its graph, and how many times can two curves meet?
Develop the structural consequences of the factor theorem: distinct zeroes give distinct linear factors and a degree-n polynomial has at most n zeroes; a polynomial agreeing with another at n + 1 points is identical, so a degree-n graph is fixed by n + 1 points; the number of intersections of two curves is bounded by degree via F(x) = P(x) - Q(x); and re-express a polynomial in powers of (x - a)
The structural consequences of the factor theorem for HSC Maths Extension 1. Distinct zeroes give distinct factors; a degree-n polynomial has at most n zeroes; agreement at n + 1 points forces two polynomials to be identical, so a graph is fixed by n + 1 points; and the difference F = P - Q bounds and locates intersections, with tangency at a double root.
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What this dot point is asking
The factor theorem on the previous page is a single fact: is a factor of exactly when . This page works out what that one fact forces to be true about every polynomial. Each zero is a factor, so several zeroes mean several factors, and factors take up degree fast, which is why a polynomial cannot have more zeroes than its degree. From there everything else follows: if two polynomials of degree agree at points they must be the same polynomial, so a curve is completely fixed by enough points; and two graphs cannot cross more times than their degree allows, a fact you unlock by studying the single difference curve .
These are the structural consequences NESA groups under ME-F2, and they are quietly powerful: they turn "find the polynomial" into a short calculation, let you prove two expressions are identical without grinding through algebra, and explain at a glance why a line meets a cubic at most three times. This is the Year 11 first-contact treatment. The applied versions, tangents and chords handled with these ideas, are developed at geometry using polynomials and in the Year 12 page on roots and coefficients; here the goal is to make the structure itself second nature.
The answer
Distinct zeroes give distinct factors
Suppose you have found several different zeroes of a polynomial , say , all distinct. The factor theorem makes each one a factor: divides , so . Now is also a zero, so ; but because the zeroes are distinct, so the other factor must be zero. That makes a factor of , and continuing this way each distinct zero peels off its own linear factor.
This is exactly why the integer-zero hunt from the previous page pays off so well. Every separate zero you find is a separate factor, so finding several zeroes builds up a quadratic or cubic factor for free and shrinks, or removes, the long division you would otherwise face.
A degree-n polynomial has at most n zeroes
Push the previous idea to its limit. If a polynomial of degree had distinct zeroes, then by the rule above it would be divisible by a product of distinct linear factors, a polynomial of degree . But a degree- polynomial cannot have a factor of higher degree than itself. That is a contradiction, so the supply of zeroes runs out.
Two consequences are worth pulling out straight away. First, if you can find distinct zeroes of a degree- polynomial, you have found all of them and the factoring is complete: no division is required. Second, the only polynomial with more zeroes than its degree, indeed with infinitely many zeroes, is the zero polynomial , which is zero for every and is the one polynomial to which the degree bound does not apply.
Finding all the zeroes when they are distinct
The first bound turns into a fast factoring method whenever a polynomial has only simple (distinct) zeroes. Instead of finding one factor, dividing, and repeating, you simply keep testing divisors of the constant term until you have collected as many distinct zeroes as the degree.
- List the candidates. Write the divisors of the constant term (both signs); these are the only possible integer zeroes.
- Collect zeroes. Test them with the factor theorem, noting each for which .
- Stop at the degree. Once you have distinct zeroes of a degree- polynomial, you have them all. The polynomial is times the product of the linear factors, where is the leading coefficient.
No long division at all is needed in this best case, which is the whole point of the maximum-zeroes bound. (When a zero is repeated you will fall one factor short and still need a single division to recover the repeated factor, the situation handled on the multiplicity page.)
Agreement at n + 1 points forces identity
The maximum-zeroes bound has a striking restatement. Suppose two polynomials and , each of degree at most , take the same value at different values of . Look at their difference . Wherever and agree, is zero, so has zeroes. But has degree at most , and a polynomial of degree at most cannot have zeroes unless it is the zero polynomial. Therefore for all , which means for all : the two polynomials are identically equal, and their corresponding coefficients match.
This is the rigorous reason "equating coefficients" is allowed: two polynomial expressions that are equal for enough values must have identical coefficients. It also means you can prove an identity by checking it at enough points rather than expanding both sides, a genuine shortcut.
A graph is fixed by n + 1 points
Read the identity condition geometrically. A polynomial graph of degree is the graph of a degree- polynomial, and that polynomial is pinned down by of its values. So the curve cannot be nudged: once points are specified, exactly one polynomial of that degree passes through them.
So a parabola is fixed by points, a cubic by , and a line () meets a cubic () at most times. The cubic below is the one from the first worked example, ; its three zeroes and the single point are four points, and they admit no other cubic.
Counting intersections with the difference F(x) = P(x) - Q(x)
The single most useful tool on this page is the difference function . Two curves and meet exactly where , that is, exactly where . So the intersections of the two curves are precisely the zeroes of the one polynomial , and the whole intersection question collapses to factoring .
This immediately bounds the number of intersections: has degree at most the larger of the two degrees, so it has at most that many zeroes, so the curves meet at most that many times. It also locates them, because factoring gives every intersection -value at once. Best of all, the nature of each meeting is read off the multiplicity of the corresponding factor of , exactly as a single curve behaves at its own zeroes:
The reason mirrors the single-curve case. A simple factor lets change sign at , so swaps from positive to negative, meaning the curves swap which one is on top, a crossing. A squared factor is never negative, so touches zero at and returns on the same side; keeps its sign, so neither curve overtakes the other and they only touch, a tangency.
Take an original pair built so the difference is a clean cubic: let
Both are quartics with the same leading term , so the cancels in the difference and
The double factor predicts a tangency at , and the simple factor predicts a crossing at . Plotting both curves confirms it exactly.
The clearest way to see why one root touches and the other crosses is to plot the difference curve by itself. Its zeroes are the intersection -values, and how it behaves at each zero, touch or cross, against the -axis is exactly how the two original curves behave at that meeting.
Re-expressing a polynomial in powers of (x - a)
The identity condition also justifies a useful change of viewpoint: any polynomial can be rewritten in powers of rather than powers of . For a cubic and a chosen number, you write
and find the constants , , , . This is allowed because both sides are cubics; if they agree at four points they are identical, so the constants are uniquely determined. It is the algebra behind shifting a curve's "centre" to , and it makes the value and local behaviour at transparent: is the height there, and the later terms describe how the curve departs from that point.
The reliable way to find the constants combines two of this page's ideas. Equate the leading coefficients to get (only the term produces , so equals the leading coefficient of ). Substitute to get , because every term vanishes there, leaving . Then substitute two more convenient values to get two equations in and , and solve. A worked example below carries this out in full.
How exam questions ask about these consequences
The wordings are predictable once mapped to the right consequence.
- "Write down / find the polynomial with zeroes ... (and passing through ...)." Factor theorem in reverse: , then use the extra point to find and expand.
- "Find all the zeroes" or "factor completely" with several easy zeroes. Test divisors of the constant term; once you have as many distinct zeroes as the degree, stop, and quote "at most zeroes".
- "Show that two expressions are equal for all " or "find the constants so that ... for all ." Identity condition: equate coefficients, or substitute enough values, justified by agreement at points.
- "A cubic passes through these four points; find it." A degree- curve is fixed by points; set up the polynomial and solve.
- "By considering , describe the intersections / show the curves are tangent / find where is above ." Factor the difference; multiplicity gives touch versus cross; the sign of the difference gives which curve is on top.
- "Express in powers of " or "in the form ." Equate the leading coefficient for , substitute for , then two more values for and .
- "Explain why a line meets this cubic at most three times." A line is degree and the cubic degree ; their difference has degree , so at most zeroes, hence at most intersections.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
foundation2 marksUse the factor theorem to write down, in expanded form, the monic cubic polynomial whose zeroes are , and .Show worked solution →
Turn each zero into a factor. By the factor theorem each zero gives a factor , so the zeroes , , give factors , , . Monic means leading coefficient , so
Expand to standard form. First , then
State and check. . Substituting back, and , confirming the zeroes.
foundation3 marksWrite down, in expanded form, the cubic polynomial with leading coefficient whose zeroes are , and .Show worked solution →
Convert the zeroes to factors. The integer zeroes and give factors and . The zero gives the factor , but to keep the leading coefficient and avoid fractions, use the equivalent factor (which is zero at and supplies the factor of ). So
Expand to standard form. First , then
State and check. , leading coefficient . Checking the fractional zero, .
core4 marksFind all the zeroes of without performing any long division.Show worked solution →
Set up the integer-zero test. The coefficients are integers, so any integer zero divides the constant term : the candidates are .
Test candidates with the factor theorem.
Account for the degree. That is four distinct zeroes of a degree- polynomial. Since a degree- polynomial has at most zeroes, these are all of them, and no division is needed: the four factors already multiply to a quartic.
State the result. Because is monic, , so the zeroes are . (The product of the four factors has constant term , matching , a quick consistency check.)
core4 marksA cubic polynomial has zeroes at , and , and satisfies . Find in expanded form, and explain why it is the only cubic meeting these conditions.Show worked solution →
Write the factored form with an unknown leading coefficient. The three zeroes give
for some constant , by the factor theorem.
Use the extra point to find . First , so . Setting gives , so .
Expand. , so
Explain uniqueness. A cubic has degree , and any two cubics agreeing at points are identical. The three zeroes plus the point are points, so they pin down exactly one cubic. Check: .
exam5 marksBy factoring the difference , describe the intersections of the curves and , and state where is above .Show worked solution →
Form the difference. Intersections occur where , that is where .
Factor the difference. The constant term is , so test divisors . , so is a factor; , so is a factor. With found once and a cubic to account for, matching the constant term identifies the repeat, giving
Read off the geometry. The double root means the curves are tangent at (they touch but do not cross), and the simple root means they cross at . At , ; at , .
Locate where is above . Since , the sign of matches the sign of (except at where ). So for , meaning for ; and for apart from the touch point .
exam4 marksExpress in the form , finding the constants , , and .Show worked solution →
Equate the leading coefficients. Both sides are cubics, so equating the coefficient of (the term is the only source of ) gives .
Substitute to isolate . Every term with a factor of vanishes at , leaving :
Substitute two more values for and . At : , and , so , giving . At : , and , so , giving .
Solve and state. Adding, , so , then . Hence
Check by a test value. At : the form gives , and . They agree.
Related dot points
- Use the remainder theorem (the remainder on division by x - a is P(a)) and the factor theorem ((x - a) is a factor if and only if P(a) = 0), test divisors of the constant term to locate integer zeroes, and combine these with division to find unknown coefficients and to fully factor a polynomial
A first-contact answer to the HSC Maths Extension 1 dot point on the remainder and factor theorems. The remainder on division by (x - a) is P(a); (x - a) is a factor exactly when P(a) = 0; an integer zero must divide the constant term. Find remainders without dividing, find unknown coefficients, and fully factor a cubic, with worked examples.
- Divide one polynomial by another using long division, expressing the result in the form P(x) = D(x)Q(x) + R(x) where the remainder has degree less than the divisor, handling missing terms, and writing the result in the rational form P/D = Q + R/D
A first-contact answer to the HSC Maths Extension 1 dot point on dividing polynomials. The division algorithm P(x) = D(x)Q(x) + R(x) with deg R less than deg D, long division by linear and quadratic divisors, handling missing terms with zero coefficients, the remainder form P/D = Q + R/D, and checking by reconstruction, with worked examples.
- Sketch the graph of a polynomial in factored form using the behaviour of the leading term for large x and the multiplicity of each zero, deciding where the curve crosses, touches or has a horizontal inflection, and locate a zero between integers from a table of values
A first-contact answer to the HSC Maths Extension 1 dot point on sketching polynomials. End behaviour from the leading term, the multiplicity rule (cross, touch, horizontal inflection), a stage-by-stage sketch from factors, and locating a zero between integers from a value table, with worked examples.
- Relate the coefficients of a polynomial to the elementary symmetric functions of its zeroes (with alternating signs) for quadratics, cubics and quartics, and use these relations to find a missing zero, to evaluate symmetric expressions of the zeroes such as the sum of squares and the sum of reciprocals, to find unknown coefficients from a condition on the zeroes, and to handle zeroes in arithmetic or geometric progression or of a special form
First-contact treatment of sums and products of zeroes for HSC Maths Extension 1. The coefficients are the elementary symmetric functions of the roots with alternating signs, for quadratics, cubics and quartics. Use them to find a missing zero and evaluate symmetric expressions without solving the polynomial.
- Use the relationships between roots and coefficients (Vieta's formulas) for polynomials of degree two, three and four
A focused answer to the HSC Maths Extension 1 dot point on the relationships between roots and coefficients. Sum and product of roots, sum of roots taken in pairs, and applications to building polynomials from given root conditions, with worked examples.