2.4 Complex Zeros and the Fundamental Theorem of Algebra
In Section 2.3, we were focused on finding the real zeros of a polynomial function. In this section, we expand our horizons and look for the non-real zeros as well. By `non-real' here we mean we will be discussing `imaginary,' and, more generally, `complex' numbers. Even though the monikers `non-real' and `imaginary' suggests these numbers play no role in `real' world applications, we assure you that electrical engineers live a `complex' life and these numbers are invaluable to them.1 That being said, our main use of complex numbers in this section is to present some powerful structure theorems for polynomial functions (this is, after all, a math book!) For a detailed review of the Complex Number system, we refer the reader to Section A.11. For us, it suffices to review the basic vocabulary.
The imaginary unit satisfies the two following properties
- If is a real number with then
- The complex numbers are the set of numbers
- Given a complex number , the complex conjugate of , .
Note that every real number is a complex number, that is . To see this, take your favorite real number, say . We may write which puts in the form . Hence, we we speak of the `complex zeros' of a polynomial function, we are talking about not just the non-real, but also the real zeros.
Complex numbers, by their very definition, are two dimensional creatures. To see this, we may identify a complex number with the point in the Cartesian plane . The horizontal axis is called the `real' axis since points here have the form which corresponds to numbers of the form which are the real numbers. The vertical axis is called the `imaginary' axis since points here are of the form which correspond to numbers of the form , the so-called `purely imaginary' numbers. Below we plot some complex numbers on this so-called `Complex Plane.' Plotting a set of complex numbers this way is called an Argand Diagram , and opens up a wealth of opportunities to explore many algebraic properties of complex numbers geometrically. For example, complex conjugation amounts to a reflection about the real axis, and multiplication by amounts to a rotation.2 While we won't have much use for the Complex Plane in this section, it is worth introducing this concept now, if, for no other reason, it gives the reader a sense of the vastness of the complex number system and the role of the real numbers in it.
Returning to zeros of polynomials, suppose we wish to find the zeros of . To solve the equation , we note that the quadratic doesn't factor nicely, so we resort to the Quadratic Formula, Equation 1.3 and obtain
Two things are important to note. First, the zeros and are complex conjugates. If ever we obtain non-real zeros to a quadratic function with real number coefficients, the zeros will be a complex conjugate pair. (Do you see why?)
We could ask if all of the theory from Section2.2 holds for non-real zeros, in particular the division algorithm and the Remainder and Factor Theorems. The answer is `yes.'
Indeed, the above shows which demonstrates both and are factors of .3
But how do we know if a general polynomial has any complex zeros at all? We have many examples of polynomials with no real zeros. Can there be polynomials with no zeros whatsoever? The answer to that last question is “No.” and the theorem which provides that answer is The Fundamental Theorem of Algebra.
The Fundamental Theorem of Algebra is an example of an `existence' theorem in Mathematics. Like the Intermediate Value Theorem, Theorem 2.14, the Fundamental Theorem of Algebra guarantees the existence of at least one zero, but gives us no algorithm to use in finding it. In fact, as we mentioned in Section 2.3, there are polynomials whose real zeros, though they exist, cannot be expressed using the `usual' combinations of arithmetic symbols, and must be approximated. It took mathematicians literally hundreds of years to prove the theorem in its full generality,4 and some of that history is recorded here . Note that the Fundamental Theorem of Algebra applies to not only polynomial functions with real coefficients, but to those with complex number coefficients as well.
Suppose is a polynomial function of degree . The Fundamental Theorem of Algebra guarantees us at least one complex zero, . The Factor Theorem guarantees that factors as for a polynomial function , which has degree . If , then the Fundamental Theorem of Algebra guarantees a complex zero of as well, say , so then the Factor Theorem gives us , and hence . We can continue this process exactly times, at which point our quotient polynomial has degree so it's a constant. This constant is none-other than the leading coefficient of which is carried down line by line each time we divide by factors of the form .
Theorem 2.16 says two important things: first, every polynomial is a product of linear factors; second, every polynomial function is completely determined by its zeros, their multiplicities, and its leading coefficient. We put this theorem to good use in the next example.
A true test of Theorem 2.16 would be to take the factored form of in the previous example and multiply it out5 to see that it really does reduce to . When factoring a polynomial using Theorem 2.16, we say that it is factored completely over the complex numbers, meaning that it is impossible to factor the polynomial any further using complex numbers. If we wanted to completely factor over the real numbers then we would have stopped short of finding the nonreal zeros of and factored using our work from the synthetic division to write , or . Since the zeros of are nonreal, we call an irreducible quadratic meaning it is impossible to break it down any further using real numbers.
The last two results of the section show us that, theoretically, the non-real zeros of polynomial functions with real number coefficients come exclusively from irreducible quadratics.
To prove the theorem, let be a polynomial function with real number coefficients. If is a zero of , then , which means . Next, we consider and apply Theorem A.13 below.
This shows that is a zero of . So, if is a polynomial function with real number coefficients, Theorem 2.17 tells us that if is a nonreal zero of , then so is . In other words, nonreal zeros of come in conjugate pairs. The Factor Theorem kicks in to give us both and as factors of which means is an irreducible quadratic factor of . As a result, we have our last theorem of the section.
We now present an example which pulls together all of the major ideas of this section.
We close this section with an example where we are asked to manufacture a polynomial function with certain characteristics.
This example concludes our study of polynomial functions.6 The last few sections have contained what is considered by many to be `heavy' Mathematics. Like a heavy meal, heavy Mathematics takes time to digest. Don't be overly concerned if it doesn't seem to sink in all at once, and pace yourself in the Exercises or you're liable to get mental cramps. But before we get to the Exercises, we'd like to offer a bit of an epilogue.
Our main goal in presenting the material on the complex zeros of a polynomial was to give the chapter a sense of completeness. Given that it can be shown that some polynomials have real zeros which cannot be expressed using the usual algebraic operations, and still others have no real zeros at all, it was nice to discover that every polynomial of degree has complex zeros. So like we said, it gives us a sense of closure.7 As mentioned at the top of the section, complex numbers are very useful in many applied fields such as electrical engineering, but most of the applications require science and mathematics well beyond precalculus material to fully understand them. That does not mean you'll never be be able to understand them; in fact, it is the authors' sincere hope that all of you will reach a point in your studies when the glory, awe and splendor of complex numbers are revealed to you. For now, however, the really good stuff is beyond the scope of this text. We invite you and your classmates to find a few examples of complex number applications and see what you can make of them.
For the remainder of the text, with the exception of Section 14.3 and a few exploratory exercises scattered about, we will restrict our attention to real numbers. We do this primarily because the first Calculus sequence you will take, ostensibly the one that this text is preparing you for, studies only functions of real variables. Also, lots of really cool scientific things don't require any deep understanding of complex numbers to study them, but they do need more Mathematics like exponential, logarithmic and trigonometric functions. We believe it makes more sense pedagogically for you to learn about those functions now then take a course in Complex Function Theory in your junior or senior year once you've completed the Calculus sequence. It is in that course that the true power of the complex numbers is released. But for now, in order to fully prepare you for life immediately after Precalculus, we will say that functions like , which we'll study in the very next chapter, have a domain of all real numbers, even though we know has two complex solutions, namely which produce a `' in the denominator. Since for all real numbers , the fraction is never undefined in the real variable setting.
Exercises
In Exercises -, find all of the zeros of the polynomial then completely factor it over the real numbers and completely factor it over the complex numbers.
- (Hint: is one of the zeros.)
- (Hint: is a zero.)
In Exercises -, use Theorem 2.16 to create a polynomial function with real number coefficients which has all of the desired characteristics. You may leave the polynomial in factored form.
- The zeros of are and .
- The leading term of is .
- The zeros of are and .
- is a zero of multiplicity 2.
- The leading term of is .
- The solutions to are and .
- The leading term of is .
- The point is a local minimum on the graph of .
- The solutions to are , , and .
- The leading term of is .
- The point is a local maximum on the graph of .
- is degree 4.
- .
- has exactly three -intercepts: , and .
- The graph of crosses through the -axis at .
- The zeros of are and .
- The leading term of is .
- is a zero.
- the point is a local minimum on the graph of .
- the leading term of is .
- The solutions to are and .
- The leading term of is .
- The point is a local maximum on the graph of .
- is degree .
- , and are zeros of .
- The leading term of is .
- is a zero.
- .
In Exercises -, find a possible formula for the polynomial function given its graph. You may leave the polynomial in factored form.
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Figure 2.84 Figure 2.85 Figure 2.86 Figure 2.87 Figure 2.88 Figure 2.89 Figure 2.90 Figure 2.91 Figure 2.92 Figure 2.93 - With help from your classmates, choose several nonzero complex numbers , find their complex conjugates . Plot each pair and in the Complex Plane. What appears to be the relationship between these numbers geometrically? State and prove a general result.
- With help from your classmates, choose several nonzero complex numbers and find . Plot each pair and in the Complex Plane. What appears to be the relationship between these numbers geometrically? State and prove a general result.
- With help from your classmates, choose several different complex numbers and find the product of and , . Plot each pair of and in the Complex Plane. In each case, show the line containing the origin and the point corresponding to is perpendicular8 to the line containing the origin and the point corresponding to . Show this result holds in general for every nonzero complex number.
- Given a complex number , we define the modulus of , , by . With help from your classmates, calculate for several different complex numbers, . What does measure geometrically? Show that if is a real number, then the modulus of is the same as the absolute value of , and comment how all this relates to Definition A.14 in Section A.7.
- Let and be arbitrary complex numbers. Show that and .
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- where can be any real number as long as
- where is any real number,
- If , then corresponds to the point in the -plane. Hence, corresponds to the point . Hence, the points corresponding to and are reflections about the -axis.
- If , then corresponds to the point in the -plane. Hence, corresponds to the point . Hence, the points corresponding to and are reflections through the origin.
- If , then corresponds to the point in the -plane. Writing out the product , we get: . Hence, corresponds to the point . If , then neither nor is (do you see why?) Hence, the slope of the line containing and is and the slope of the line containing and is . Per Theorem A.3, since the slopes of these lines are negative reciprocals, the lines themselves are perpendicular.9
- measures the distance from the origin to the point . Hence, measures the distance from to in the Complex Plane. This is exactly how is defined in Definition A.14 in Section A.7. In that section, however, the only part of the Complex Plane under discussion is the real number line.
Adapted from Precalculus, Preliminary 4th Edition (integrated calculus), by Carl Stitz and Jeff Zeager (stitz-zeager.com), licensed under CC BY-NC-SA 3.0. Changes were made: reformatted as an accessible XYZ web edition. License: CC-BY-NC-SA-3.0.