Complex and Irrational Roots
Learning goals
- Explain why real coefficients force a polynomial's nonreal roots into conjugate pairs
- Show breaking the pairing because its coefficient is not real
- Pair a surd root with when the coefficients are rational
- Build the real or rational quadratic factor a paired root forces
- Conclude that a real polynomial of odd degree always has a real root
The plus-or-minus is not the reason
Start by watching the pairing show up where no single formula produced it. Take
The Rational Root Theorem lists and as the only candidates for a rational root, and , so is one. The Factor Theorem then says divides , and synthetic division returns the quotient:
The quadratic factor is the one from a moment ago, whose roots are . So the three roots of this cubic are
and the two nonreal ones are a conjugate pair again. No formula swept the cubic in one motion; the roots came out of three separate steps, and the pairing appeared anyway.
Now put the story on trial. If it were the cause, every quadratic should produce conjugate roots, because every quadratic has that . Test it on
Multiplying out gives exactly , so the roots of are and , and those are not conjugates of each other. The quadratic formula still applies to and still hands back two answers; nothing about the formula stops that. What it cannot do is make and conjugates, because they simply are not. The only thing that changed between and is that a coefficient stopped being real. That is the real cause, and the rest of this lesson tracks exactly how.
Conjugation slides through plus and times
Everything rests on three facts about the conjugate of , all of them proved when you learned complex arithmetic:
The first two say conjugation does not care whether you conjugate before or after adding, or before or after multiplying. Apply the sum rule repeatedly and the bar spreads over a sum of any length. Apply the product rule repeatedly and for every whole number , since is just multiplied by itself.
The third fact is a genuine two-way street, and both directions were established: a real number equals , and flipping the sign of changes nothing, so . Conversely, for , the equation forces , so and is real. Conjugation leaves the real numbers alone, and it leaves nothing else alone. Hold on to that. It is about to become the hypothesis of a theorem.
The conjugate root theorem
Theorem. Let , where every coefficient is a real number. If is a complex number with , then too.
With real coefficients, every root drags its conjugate along#
Suppose , and conjugate both sides of that equation.
The right-hand side is easy. Zero is real, so .
For the left-hand side, push the bar inward one operation at a time. Conjugation respects addition, and applying that rule repeatedly spreads the bar across the whole sum:
Conjugation also respects multiplication, so each term splits into the conjugate of its coefficient times the conjugate of its power of . Applying the conjugation product rule again then moves the bar onto every copy of inside that power:
Nothing so far has used anything about the coefficients. This next line is the only place the hypothesis appears, and it is the hinge of the whole theorem. Each is real, and a real number is its own conjugate, so . Every coefficient walks through the bar untouched, while every turns into :
The right end of that chain is literally evaluated at , and the left end is . Therefore , and is a root.
Look at what the proof never needed: the degree, a formula for the roots, which root you started from, or any special feature of . It needed two rules about conjugation and one fact about the coefficients. Real coefficients are the only thing standing between and , which is why the theorem holds at degree exactly as firmly as at degree .
Notice also what happens when is real: then and the theorem says only that a root is a root. All the content is in the nonreal roots. They cannot travel alone.
A paired root is worth more than a second root. It hands you a real quadratic factor. Pair (with ) against and multiply the two linear factors:
Both new coefficients are real, because and are the two quantities that conjugate pairs are famous for making real. That quadratic is genuinely a factor of . Whenever and are distinct roots of , the Factor Theorem gives ; substituting turns into , since . So the Factor Theorem applies again, now to , and the product divides . Take and , distinct precisely because .
Worked example 1 Build the smallest real polynomial with roots and
Real coefficients will not let stand alone, so is a root as well. The polynomial has at least the three roots , , and , so its degree is at least , and the monic degree- polynomial with exactly those roots is
Multiply the conjugate pair first, since that is the product engineered to clear the :
The sum is and the product is , both real, so the quadratic factor is . Multiplying by the remaining factor,
Every coefficient came out real, as it was forced to. Any real polynomial whose roots are exactly those three, counted with multiplicity, is a nonzero constant times this one. (Larger real polynomials with those roots exist, of course; they just carry extra roots as well, like the multiple .)
Check your understanding
What real quadratic factor does the root force on any real polynomial that has it as a root?
The root forces its conjugate to be a root too, and their product is the forced factor:
The sum is and the product is , giving . Flipping the sign on the middle term, or subtracting instead of adding the squares, are the two easiest slips.
Worked example 2 Given that is a root of , find every root
The coefficients are real, so the conjugate root theorem hands you a second root for free: . The two are distinct, so their product is a factor of :
Dividing by that quadratic comes out even:
(Check it by multiplying the two factors back out; every term matches.) The second factor gives , whose solutions are and : another conjugate pair, which is no surprise now. The four roots are
This polynomial has no real roots at all. An even degree allows that, since its four roots can be consumed by two conjugate pairs.
Check your understanding
is a polynomial with real coefficients and . Which number must also be a root of ?
Every coefficient of is real, so the conjugate root theorem applies. Conjugating flips the sign of the imaginary part and leaves the real part exactly where it was.
The other three choices flip the real part, or swap the two parts, and conjugation does neither.
The hypothesis is doing all the work
Read the theorem’s statement again and notice how much weight the words “every coefficient is real” are carrying. Take them away and the conclusion dies immediately. The smallest possible counterexample is degree :
Its only root is , since , and is not a root, since . A root with no partner. The theorem is not being violated, because has the coefficient , which is not a real number, so the theorem never applied. The quadratic from the opening section fails for the same reason, with the same nonreal coefficient sitting in plain sight.
So “complex roots come in conjugate pairs” is false as a bare slogan. What is true is the conditional: if the coefficients are real, then the nonreal roots come in conjugate pairs. Without real coefficients, the pairing is simply not guaranteed, one way or the other. Whenever you invoke the pairing, check the coefficients first. It is a one-second check, and skipping it is how the mistake gets made.
That conditional does not run backwards, either. Paired roots do not, by themselves, force real coefficients. Scaling a polynomial by a constant cannot move a root, so
has the perfectly matched pair and , even though its coefficients and are as nonreal as coefficients get.
Check your understanding
Exactly one of these polynomials has as a root but does not have as a root. Which one?
Test both numbers in each polynomial. In they are both roots, since and . In they are still both roots, because multiplying by cannot move a root. In neither is a root, since . That leaves .
Its coefficient is not real, so the conjugate root theorem never applied, and the pairing genuinely fails.
The same proof over the rationals
Nothing in the proof above cared that the swap was in particular. It used only that the swap respects addition and multiplication, and that it leaves every coefficient alone. Any other swap with those two properties will prove its own theorem, with its own hypothesis on the coefficients. Here is the one that matters most.
Watch what happens when a square root, not , sits inside a root. Take the two numbers and and multiply the matching factors:
The is gone from both new coefficients, even though it sat in both roots a moment ago. A number like , built from a square root that will not simplify to a whole number or a fraction, is called a surd. What just happened is the surd conjugate theorem at work, and it happens for the same underlying reason: a rational coefficient cannot tell apart from .
Theorem. Let have rational coefficients, and let , , and all be rational, with and irrational. If is a root of , then is a root of as well. Write the partner of as : flipping the sign in front of and nothing else.
Here is why it works, in the same shape as the complex proof. Multiply two numbers of the form together and use :
Because is rational, both the new rational part and the new part stay rational. So every sum and product of numbers built from produces another number of that same two-part shape. That means evaluated at comes out as (some rational number) plus (some rational number) times . Flipping the sign on every term is the partner swap. It turns the rational part into itself and the part into its negative, and it passes through addition and multiplication exactly the way complex conjugation does. So applying the swap to turns it into . Every rational coefficient of survives the swap unchanged, because a rational number is already its own partner, and only the copies of flip sign.
That is irrational is what keeps the two-part representation unique, which is what makes the swap well defined. Rationality of is a separate hypothesis, spent somewhere else. Drop it and the sign-flip can stop respecting multiplication, so it may no longer turn into , and the theorem can fail.
Two theorems, one skeleton. Setting them side by side is the point of this lesson, because it shows that conjugation is not really about at all. It is about which number system the coefficients are drawn from, and about a swap that leaves exactly that system alone.
| Property | Complex conjugates | Surd conjugates |
|---|---|---|
| Coefficients must be | real | rational |
| The root it acts on | , with , real | , with , , rational and irrational |
| The swap | ||
| What the swap fixes | exactly the real numbers | exactly the rational numbers |
| Why the proof runs | the swap respects and | the swap respects and |
| Partner of a root | ||
| Factor the pair forces | ||
| It fails for |
The last row deserves a second look, because the two hypotheses are genuinely different and confusing them is the standard error. Real coefficients buy you the complex pairing and nothing more. The polynomial
has real coefficients, and the conjugate root theorem is perfectly happy with it (its roots and are real, so each is its own conjugate). But is nowhere among its roots. The surd conjugate theorem needs the coefficients to be rational, and is not.
Worked example 3 Given that is a root of , find every root
Every coefficient is rational, so the surd conjugate theorem applies and is a root as well. The two are distinct, so their product, computed two sections ago, divides :
Dividing by that quadratic:
(Check it by multiplying the two factors back out.) So the third root is , and the full list is , , and .
The third root had no choice but to be rational. The irrational pair used up two of the cubic’s three roots, and the linear factor left behind came from dividing one rational polynomial by another. So that factor has rational coefficients, and the root of a rational linear factor is a rational number.
Check your understanding
has rational coefficients, degree , and two of its roots are and . What are the other two roots?
Rational coefficients are also real coefficients, so both theorems apply at once.
The surd conjugate theorem pairs with , flipping the sign of the term only. The conjugate root theorem pairs with .
That is four roots for a degree- polynomial, so the list is complete. Flipping the sign of the rational part, as two of the wrong choices do, is not what either swap does.
What the pairing forces
The pairing is not a curiosity. It constrains what a real polynomial can look like, and the constraints are strong enough to be useful. Everything below follows from the conjugate root theorem plus the Fundamental Theorem of Algebra. That theorem guarantees that any polynomial of degree or more has at least one complex root to work with.
Every real polynomial breaks apart into real linear factors and real quadratic factors with negative discriminant, one piece per root or per conjugate pair. Here is why. You already know factors completely into linear factors over the complex numbers, counted with multiplicity: . Conjugating that whole equation the same way turns the left side back into , since every coefficient is real, and turns the right side into . A degree- polynomial factors into linear pieces in only one way, except for reordering. So that second list is just rearranged: conjugation shuffles the root list instead of changing which roots appear or how often each one does. In particular, a nonreal root and its conjugate occur exactly as many times as each other. Group that list by pairing every nonreal root with its conjugate, using the equal counts just shown so no root is left without a partner. Each real root stays a lone factor . Each conjugate pair and multiplies into one real quadratic factor . That quadratic has no real roots of its own, since its discriminant is , negative. Multiplying every grouped piece back together reconstructs exactly, because that product is just the same linear factors, regrouped.
That breakdown pins down how many nonreal roots a real polynomial can have. Every conjugate pair uses up exactly two roots at once, counted with multiplicity, so the nonreal roots always come in a whole number of pairs. Counted with multiplicity, a real polynomial has an even number of nonreal roots, always.
Odd degree pins it down further. If has odd degree , its roots (counted with multiplicity) split into an even number of nonreal roots and the rest real. An even number subtracted from an odd number is odd, so at least one real root is left over.
Every real polynomial of odd degree has at least one real root. Put another way, the nonreal roots come in twos, so they can never use up an odd count, and something real is always left over. This matches the picture you already have of an odd-degree graph, which runs off toward opposite ends and so has to cross the axis somewhere. Notice that this argument reached the same conclusion without drawing anything.
For a cubic this pins things down completely. Counting with multiplicity, it has roots, of which an even number are nonreal, so either or of them, leaving either or real roots. A real cubic with no real root does not exist.
Check your understanding
A real polynomial has degree . What must be true about its roots, counted with multiplicity?
Nonreal roots of a real polynomial always come in conjugate pairs, so they use up an even number of the five root slots: , , or . That leaves , , or real roots, at least one every time. Exactly one real root is not guaranteed, since there could be or , and every root real is also possible, so only "at least one" has to be true.
Worked example 4 Factor over the reals, then read off its roots
This polynomial has no real roots whatsoever: for every real , so , which is never zero. So it must be a product of two real quadratics, each with negative discriminant. Find them by manufacturing a difference of squares, adding and subtracting :
A difference of squares splits at once:
Each factor has discriminant , negative, so neither breaks down further over the reals, exactly as promised. The quadratic formula on each one gives
Four roots, arranged as two conjugate pairs, and not one of them real. The count works out as it must: degree , zero real roots, four nonreal roots, and four is even.