Login
📚 Precalculus
Chapters ▾

3.4 Complex Zeros and the Fundamental Theorem of Algebra

In Section, 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. Consider the polynomial p ( x ) = x 2 + 1 . The zeros of p are the solutions to x 2 + 1 = 0 , or x 2 = 1 . This equation has no real solutions, but you may recall from Intermediate Algebra that we can formally extract the square roots of both sides to get x = ± 1 . The quantity 1 is usually re-labeled i , the so-called imaginary unit.1 The number i , while not a real number, plays along well with real numbers, and acts very much like any other radical expression. For instance, 3 ( 2 i ) = 6 i , 7 i 3 i = 4 i , ( 2 7 i ) + ( 3 + 4 i ) = 5 3 i , and so forth. The key properties which distinguish i from the real numbers are listed below.

Property 1 in Definition establishes that i does act as a square root2 of 1 , and property 2 establishes what we mean by the `principal square root' of a negative real number. In property 2, it is important to remember the restriction on c . For example, it is perfectly acceptable to say 4 = i 4 = i ( 2 ) = 2 i . However, ( 4 ) i 4 , otherwise, we'd get

2 = 4 = ( 4 ) = i 4 = i ( 2 i ) = 2 i 2 = 2 ( 1 ) = 2 ,

which is unacceptable.3 We are now in the position to define the complex numbers.

Complex numbers include things you'd normally expect, like 3 + 2 i and 2 5 i 3 . However, don't forget that a or b could be zero, which means numbers like 3 i and 6 are also complex numbers. In other words, don't forget that the complex numbers include the real numbers, so 0 and π 21 are both considered complex numbers.4 The arithmetic of complex numbers is as you would expect. The only things you need to remember are the two properties in Definition. The next example should help recall how these animals behave.

A couple of remarks about the last example are in order. First, the conjugate of a complex number a + b i is the number a b i . The notation commonly used for conjugation is a `bar': a + b i ¯ = a b i . For example, 3 + 2 i ¯ = 3 2 i , 3 2 i ¯ = 3 + 2 i , 6 ¯ = 6 , 4 i ¯ = 4 i , and 3 + 5 ¯ = 3 + 5 . The properties of the conjugate are summarized in the following theorem.

Essentially, Theorem says that complex conjugation works well with addition, multiplication and powers. The proof of these properties can best be achieved by writing out z = a + b i and w = c + d i for real numbers a , b , c and d . Next, we compute the left and right hand sides of each equation and check to see that they are the same. The proof of the first property is a very quick exercise.7 To prove the second property, we compare z ¯ + w ¯ and z + w ¯ . We have z ¯ + w ¯ = a + b i ¯ + c + d i ¯ = a b i + c d i . To find z + w ¯ , we first compute

z + w = ( a + b i ) + ( c + d i ) = ( a + c ) + ( b + d ) i

so

z + w ¯ = ( a + c ) + ( b + d ) i ¯ = ( a + c ) ( b + d ) i = a b i + c d i

As such, we have established z ¯ + w ¯ = z + w ¯ . The proof for multiplication works similarly. The proof that the conjugate works well with powers can be viewed as a repeated application of the product rule, and is best proved using a technique called Mathematical Induction.8 The last property is a characterization of real numbers. If z is real, then z = a + 0 i , so z ¯ = a 0 i = a = z . On the other hand, if z = z ¯ , then a + b i = a b i which means b = b so b = 0 . Hence, z = a + 0 i = a and is real.

We now return to the business of zeros. Suppose we wish to find the zeros of f ( x ) = x 2 2 x + 5 . To solve the equation x 2 2 x + 5 = 0 , we note that the quadratic doesn't factor nicely, so we resort to the Quadratic Formula, Equation and obtain

x = ( 2 ) ± ( 2 ) 2 4 ( 1 ) ( 5 ) 2 ( 1 ) = 2 ± 16 2 = 2 ± 4 i 2 = 1 ± 2 i .

Two things are important to note. First, the zeros 1 + 2 i and 1 2 i are complex conjugates. If ever we obtain non-real zeros to a quadratic function with real coefficients, the zeros will be a complex conjugate pair. (Do you see why?) Next, we note that in Example Example 1, part 6, we found ( x [ 1 + 2 i ] ) ( x [ 1 2 i ] ) = x 2 2 x + 5 . This demonstrates that the factor theorem holds even for non-real zeros, i.e, x = 1 + 2 i is a zero of f , and, sure enough, ( x [ 1 + 2 i ] ) is a factor of f ( x ) . It turns out that polynomial division works the same way for all complex numbers, real and non-real alike, so the Factor and Remainder Theorems hold as well. 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, 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, there are polynomials whose real zeros, though they exist, cannot be expressed using the `usual' combinations of arithmetic symbols, and must be approximated. The authors are fully aware that the full impact and profound nature of the Fundamental Theorem of Algebra is lost on most students studying College Algebra, and that's fine. It took mathematicians literally hundreds of years to prove the theorem in its full generality, 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 f is a polynomial of degree n 1 . The Fundamental Theorem of Algebra guarantees us at least one complex zero, z 1 , and as such, the Factor Theorem guarantees that f ( x ) factors as f ( x ) = ( x z 1 ) q 1 ( x ) for a polynomial function q 1 , of degree exactly n 1 . If n 1 1 , then the Fundamental Theorem of Algebra guarantees a complex zero of q 1 as well, say z 2 , so then the Factor Theorem gives us q 1 ( x ) = ( x z 2 ) q 2 ( x ) , and hence f ( x ) = ( x z 1 ) ( x z 2 ) q 2 ( x ) . We can continue this process exactly n times, at which point our quotient polynomial q n has degree 0 so it's a constant. This argument gives us the following factorization theorem.

Note that the value a in Theorem is the leading coefficient of f ( x ) (Can you see why?) and as such, we see that a polynomial 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 (and a student's mettle!) would be to take the factored form of f ( x ) in the previous example and multiply it out9 to see that it really does reduce to the original formula f ( x ) = 12 x 5 20 x 4 + 19 x 3 6 x 2 2 x + 1 . When factoring a polynomial using Theorem, 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 f ( x ) over the real numbers then we would have stopped short of finding the nonreal zeros of f and factored f using our work from the synthetic division to write f ( x ) = ( x 1 2 ) 2 ( x + 1 3 ) ( 12 x 2 12 x + 12 ) , or f ( x ) = 12 ( x 1 2 ) 2 ( x + 1 3 ) ( x 2 x + 1 ) . Since the zeros of x 2 x + 1 are nonreal, we call x 2 x + 1 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, at least in theory, if we have a polynomial function with real coefficients, we can always factor it down enough so that any nonreal zeros come from irreducible quadratics.

To prove the theorem, suppose f is a polynomial with real number coefficients. Specifically, let f ( x ) = a n x n + a n 1 x n 1 + + a 2 x 2 + a 1 x + a 0 . If z is a zero of f , then f ( z ) = 0 , which means a n z n + a n 1 z n 1 + + a 2 z 2 + a 1 z + a 0 = 0 . Next, we consider f ( z ¯ ) and apply Theorem below.

f ( z ¯ ) = a n ( z ¯ ) n + a n 1 ( z ¯ ) n 1 + + a 2 ( z ¯ ) 2 + a 1 z ¯ + a 0 = a n z n ¯ + a n 1 z n 1 ¯ + + a 2 z 2 ¯ + a 1 z ¯ + a 0  since  ( z ¯ ) n = z n ¯ = a n ¯ z n ¯ + a n 1 ¯ z n 1 ¯ + + a 2 ¯ z 2 ¯ + a 1 ¯ z ¯ + a 0 ¯ since the coefficients are real = a n z n ¯ + a n 1 z n 1 ¯ + + a 2 z 2 ¯ + a 1 z ¯ + a 0 ¯  since  z ¯ w ¯ = z w ¯ = a n z n + a n 1 z n 1 + + a 2 z 2 + a 1 z + a 0 ¯  since  z ¯ + w ¯ = z + w ¯ = f ( z ) ¯ = 0 ¯ = 0

This shows that z ¯ is a zero of f . So, if f is a polynomial function with real number coefficients, Theorem tells us that if a + b i is a nonreal zero of f , then so is a b i . In other words, nonreal zeros of f come in conjugate pairs. The Factor Theorem kicks in to give us both ( x [ a + b i ] ) and ( x [ a b i ] ) as factors of f ( x ) which means ( x [ a + b i ] ) ( x [ a b i ] ) = x 2 + 2 a x + ( a 2 + b 2 ) is an irreducible quadratic factor of f . 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.

Our last example turns the tables and asks us to manufacture a polynomial with certain properties of its graph and zeros.

This example concludes our study of polynomial functions.10 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 n 1 has n complex zeros. So like we said, it gives us a sense of closure. But the observant reader will note that we did not give any examples of applications which involve complex numbers. Students often wonder when complex numbers will be used in `real-world' applications. After all, didn't we call i the imaginary unit? How can imaginary things be used in reality? It turns out that complex numbers are very useful in many applied fields such as fluid dynamics, electromagnetism and quantum mechanics, but most of the applications require Mathematics well beyond College Algebra 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. A simple Internet search with the phrase `complex numbers in real life' should get you started. Basic electronics classes are another place to look, but remember, they might use the letter j where we have used i .

For the remainder of the text, with the exception of Section 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 College Algebra, we will say that functions like f ( x ) = 1 x 2 + 1 have a domain of all real numbers, even though we know x 2 + 1 = 0 has two complex solutions, namely x = ± i . Because x 2 + 1 > 0 for all real numbers x , the fraction 1 x 2 + 1 is never undefined in the real variable setting.

Exercises

In Exercises -, use the given complex numbers z and w to find and simplify the following. Write your answers in the form a + b i .

  • z + w
  • z w
  • z 2
  • 1 z
  • z w
  • w z
  • z ¯
  • z z ¯
  • ( z ¯ ) 2
  1. z = 2 + 3 i , w = 4 i
  2. z = 1 + i , w = i
  3. z = i , w = 1 + 2 i
  4. z = 4 i , w = 2 2 i
  5. z = 3 5 i , w = 2 + 7 i
  6. z = 5 + i , w = 4 + 2 i
  7. z = 2 i 2 , w = 2 + i 2
  8. z = 1 i 3 , w = 1 i 3
  9. z = 1 2 + 3 2 i , w = 1 2 + 3 2 i
  10. z = 2 2 + 2 2 i , w = 2 2 2 2 i
  11. 49
  12. 9
  13. 25 4
  14. ( 25 ) ( 4 )
  15. 9 16
  16. ( 9 ) ( 16 )
  17. ( 9 )
  18. ( 9 )
  19. i 5
  20. i 6
  21. i 7
  22. i 8
  23. i 15
  24. i 26
  25. i 117
  26. i 304
  27. f ( x ) = x 2 4 x + 13
  28. f ( x ) = x 2 2 x + 5
  29. f ( x ) = 3 x 2 + 2 x + 10
  30. f ( x ) = x 3 2 x 2 + 9 x 18
  31. f ( x ) = x 3 + 6 x 2 + 6 x + 5
  32. f ( x ) = 3 x 3 13 x 2 + 43 x 13
  33. f ( x ) = x 3 + 3 x 2 + 4 x + 12
  34. f ( x ) = 4 x 3 6 x 2 8 x + 15
  35. f ( x ) = x 3 + 7 x 2 + 9 x 2
  36. f ( x ) = 9 x 3 + 2 x + 1
  37. f ( x ) = 4 x 4 4 x 3 + 13 x 2 12 x + 3
  38. f ( x ) = 2 x 4 7 x 3 + 14 x 2 15 x + 6
  39. f ( x ) = x 4 + x 3 + 7 x 2 + 9 x 18
  40. f ( x ) = 6 x 4 + 17 x 3 55 x 2 + 16 x + 12
  41. f ( x ) = 3 x 4 8 x 3 12 x 2 12 x 5
  42. f ( x ) = 8 x 4 + 50 x 3 + 43 x 2 + 2 x 4
  43. f ( x ) = x 4 + 9 x 2 + 20
  44. f ( x ) = x 4 + 5 x 2 24
  45. f ( x ) = x 5 x 4 + 7 x 3 7 x 2 + 12 x 12
  46. f ( x ) = x 6 64
  47. f ( x ) = x 4 2 x 3 + 27 x 2 2 x + 26 (Hint: x = i is one of the zeros.)
  48. f ( x ) = 2 x 4 + 5 x 3 + 13 x 2 + 7 x + 5 (Hint: x = 1 + 2 i is a zero.)
    • The zeros of f are c = ± 1 and c = ± i
    • The leading term of f ( x ) is 42 x 4
    • c = 2 i is a zero.
    • the point ( 1 , 0 ) is a local minimum on the graph of y = f ( x )
    • the leading term of f ( x ) is 117 x 4
    • The solutions to f ( x ) = 0 are x = ± 2 and x = ± 7 i
    • The leading term of f ( x ) is 3 x 5
    • The point ( 2 , 0 ) is a local maximum on the graph of y = f ( x ) .
    • f is degree 5 .
    • x = 6 , x = i and x = 1 3 i are zeros of f
    • as x , f ( x )
    • The leading term of f ( x ) is 2 x 3
    • c = 2 i is a zero
    • f ( 0 ) = 16
  49. Let z and w be arbitrary complex numbers. Show that z ¯ w ¯ = z w ¯ and z ¯ ¯ = z .

In Exercises -, simplify the quantity.

We know that i 2 = 1 which means i 3 = i 2 i = ( 1 ) i = i and i 4 = i 2 i 2 = ( 1 ) ( 1 ) = 1 . In Exercises -, use this information to simplify the given power of i .

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.

In Exercises -, create a polynomial f with real number coefficients which has all of the desired characteristics. You may leave the polynomial in factored form.

Answers

  1. For z = 2 + 3 i and w = 4 i

    • z + w = 2 + 7 i
    • z w = 12 + 8 i
    • z 2 = 5 + 12 i
    • 1 z = 2 13 3 13 i
    • z w = 3 4 1 2 i
    • w z = 12 13 + 8 13 i
    • z ¯ = 2 3 i
    • z z ¯ = 13
    • ( z ¯ ) 2 = 5 12 i
  2. For z = 1 + i and w = i

    • z + w = 1
    • z w = 1 i
    • z 2 = 2 i
    • 1 z = 1 2 1 2 i
    • z w = 1 + i
    • w z = 1 2 1 2 i
    • z ¯ = 1 i
    • z z ¯ = 2
    • ( z ¯ ) 2 = 2 i
  3. For z = i and w = 1 + 2 i

    • z + w = 1 + 3 i
    • z w = 2 i
    • z 2 = 1
    • 1 z = i
    • z w = 2 5 1 5 i
    • w z = 2 + i
    • z ¯ = i
    • z z ¯ = 1
    • ( z ¯ ) 2 = 1
  4. For z = 4 i and w = 2 2 i

    • z + w = 2 + 2 i
    • z w = 8 + 8 i
    • z 2 = 16
    • 1 z = 1 4 i
    • z w = 1 + i
    • w z = 1 2 1 2 i
    • z ¯ = 4 i
    • z z ¯ = 16
    • ( z ¯ ) 2 = 16
  5. For z = 3 5 i and w = 2 + 7 i

    • z + w = 5 + 2 i
    • z w = 41 + 11 i
    • z 2 = 16 30 i
    • 1 z = 3 34 + 5 34 i
    • z w = 29 53 31 53 i
    • w z = 29 34 + 31 34 i
    • z ¯ = 3 + 5 i
    • z z ¯ = 34
    • ( z ¯ ) 2 = 16 + 30 i
  6. For z = 5 + i and w = 4 + 2 i

    • z + w = 1 + 3 i
    • z w = 22 6 i
    • z 2 = 24 10 i
    • 1 z = 5 26 1 26 i
    • z w = 9 10 + 7 10 i
    • w z = 9 13 7 13 i
    • z ¯ = 5 i
    • z z ¯ = 26
    • ( z ¯ ) 2 = 24 + 10 i
  7. For z = 2 i 2 and w = 2 + i 2

    • z + w = 2 2
    • z w = 4
    • z 2 = 4 i
    • 1 z = 2 4 + 2 4 i
    • z w = i
    • w z = i
    • z ¯ = 2 + i 2
    • z z ¯ = 4
    • ( z ¯ ) 2 = 4 i
  8. For z = 1 i 3 and w = 1 i 3

    • z + w = 2 i 3
    • z w = 4
    • z 2 = 2 2 i 3
    • 1 z = 1 4 + 3 4 i
    • z w = 1 2 + 3 2 i
    • w z = 1 2 3 2 i
    • z ¯ = 1 + i 3
    • z z ¯ = 4
    • ( z ¯ ) 2 = 2 + 2 i 3
  9. For z = 1 2 + 3 2 i and w = 1 2 + 3 2 i

    • z + w = i 3
    • z w = 1
    • z 2 = 1 2 + 3 2 i
    • 1 z = 1 2 3 2 i
    • z w = 1 2 3 2 i
    • w z = 1 2 + 3 2 i
    • z ¯ = 1 2 3 2 i
    • z z ¯ = 1
    • ( z ¯ ) 2 = 1 2 3 2 i
  10. For z = 2 2 + 2 2 i and w = 2 2 2 2 i

    • 2
    • z w = 1
    • z 2 = i
    • 1 z = 2 2 2 2 i
    • z w = i
    • w z = i
    • z ¯ = 2 2 2 2 i
    • z z ¯ = 1
    • ( z ¯ ) 2 = i
  11. 7 i
  12. 3 i
  13. 10
  14. 10
  15. 12
  16. 12
  17. 3
  18. 3 i
  19. i 5 = i 4 i = 1 i = i
  20. i 6 = i 4 i 2 = 1 ( 1 ) = 1
  21. i 7 = i 4 i 3 = 1 ( i ) = i
  22. i 8 = i 4 i 4 = ( i 4 ) 2 = ( 1 ) 2 = 1
  23. i 15 = ( i 4 ) 3 i 3 = 1 ( i ) = i
  24. i 26 = ( i 4 ) 6 i 2 = 1 ( 1 ) = 1
  25. i 117 = ( i 4 ) 29 i = 1 i = i
  26. i 304 = ( i 4 ) 76 = 1 76 = 1
  27. f ( x ) = x 2 4 x + 13 = ( x ( 2 + 3 i ) ) ( x ( 2 3 i ) ) Zeros: x = 2 ± 3 i
  28. f ( x ) = x 2 2 x + 5 = ( x ( 1 + 2 i ) ) ( x ( 1 2 i ) ) Zeros: x = 1 ± 2 i
  29. f ( x ) = 3 x 2 + 2 x + 10 = 3 ( x ( 1 3 + 29 3 i ) ) ( x ( 1 3 29 3 i ) )

    Zeros: x = 1 3 ± 29 3 i

  30. f ( x ) = x 3 2 x 2 + 9 x 18 = ( x 2 ) ( x 2 + 9 ) = ( x 2 ) ( x 3 i ) ( x + 3 i ) Zeros: x = 2 , ± 3 i
  31. f ( x ) = x 3 + 6 x 2 + 6 x + 5 = ( x + 5 ) ( x 2 + x + 1 ) = ( x + 5 ) ( x ( 1 2 + 3 2 i ) ) ( x ( 1 2 3 2 i ) ) Zeros: x = 5 , x = 1 2 ± 3 2 i
  32. f ( x ) = 3 x 3 13 x 2 + 43 x 13 = ( 3 x 1 ) ( x 2 4 x + 13 ) = ( 3 x 1 ) ( x ( 2 + 3 i ) ) ( x ( 2 3 i ) ) Zeros: x = 1 3 , x = 2 ± 3 i
  33. f ( x ) = x 3 + 3 x 2 + 4 x + 12 = ( x + 3 ) ( x 2 + 4 ) = ( x + 3 ) ( x + 2 i ) ( x 2 i ) Zeros: x = 3 , ± 2 i
  34. f ( x ) = 4 x 3 6 x 2 8 x + 15 = ( x + 3 2 ) ( 4 x 2 12 x + 10 ) = 4 ( x + 3 2 ) ( x ( 3 2 + 1 2 i ) ) ( x ( 3 2 1 2 i ) ) Zeros: x = 3 2 , x = 3 2 ± 1 2 i
  35. f ( x ) = x 3 + 7 x 2 + 9 x 2 = ( x + 2 ) ( x ( 5 2 + 29 2 ) ) ( x ( 5 2 29 2 ) ) Zeros: x = 2 , x = 5 2 ± 29 2
  36. f ( x ) = 9 x 3 + 2 x + 1 = ( x + 1 3 ) ( 9 x 2 3 x + 3 ) = 9 ( x + 1 3 ) ( x ( 1 6 + 11 6 i ) ) ( x ( 1 6 11 6 i ) ) Zeros: x = 1 3 , x = 1 6 ± 11 6 i
  37. f ( x ) = 4 x 4 4 x 3 + 13 x 2 12 x + 3 = ( x 1 2 ) 2 ( 4 x 2 + 12 ) = 4 ( x 1 2 ) 2 ( x + i 3 ) ( x i 3 ) Zeros: x = 1 2 , x = ± 3 i
  38. f ( x ) = 2 x 4 7 x 3 + 14 x 2 15 x + 6 = ( x 1 ) 2 ( 2 x 2 3 x + 6 ) = 2 ( x 1 ) 2 ( x ( 3 4 + 39 4 i ) ) ( x ( 3 4 39 4 i ) ) Zeros: x = 1 , x = 3 4 ± 39 4 i
  39. f ( x ) = x 4 + x 3 + 7 x 2 + 9 x 18 = ( x + 2 ) ( x 1 ) ( x 2 + 9 ) = ( x + 2 ) ( x 1 ) ( x + 3 i ) ( x 3 i ) Zeros: x = 2 ,  1 , ± 3 i
  40. f ( x ) = 6 x 4 + 17 x 3 55 x 2 + 16 x + 12 = 6 ( x + 1 3 ) ( x 3 2 ) ( x ( 2 + 2 2 ) ) ( x ( 2 2 2 ) ) Zeros: x = 1 3 , x = 3 2 , x = 2 ± 2 2
  41. f ( x ) = 3 x 4 8 x 3 12 x 2 12 x 5 = ( x + 1 ) 2 ( 3 x 2 2 x 5 ) = 3 ( x + 1 ) 2 ( x ( 1 3 + 14 3 i ) ) ( x ( 1 3 14 3 i ) ) Zeros: x = 1 , x = 1 3 ± 14 3 i
  42. f ( x ) = 8 x 4 + 50 x 3 + 43 x 2 + 2 x 4 = 8 ( x + 1 2 ) ( x 1 4 ) ( x ( 3 + 5 ) ) ( x ( 3 5 ) ) Zeros: x = 1 2 , 1 4 , x = 3 ± 5
  43. f ( x ) = x 4 + 9 x 2 + 20 = ( x 2 + 4 ) ( x 2 + 5 ) = ( x 2 i ) ( x + 2 i ) ( x i 5 ) ( x + i 5 ) Zeros: x = ± 2 i , ± i 5
  44. f ( x ) = x 4 + 5 x 2 24 = ( x 2 3 ) ( x 2 + 8 ) = ( x 3 ) ( x + 3 ) ( x 2 i 2 ) ( x + 2 i 2 ) Zeros: x = ± 3 , ± 2 i 2
  45. f ( x ) = x 5 x 4 + 7 x 3 7 x 2 + 12 x 12 = ( x 1 ) ( x 2 + 3 ) ( x 2 + 4 ) = ( x 1 ) ( x i 3 ) ( x + i 3 ) ( x 2 i ) ( x + 2 i ) Zeros: x = 1 , ± 3 i , ± 2 i
  46. f ( x ) = x 6 64 = ( x 2 ) ( x + 2 ) ( x 2 + 2 x + 4 ) ( x 2 2 x + 4 ) = ( x 2 ) ( x + 2 ) ( x ( 1 + i 3 ) ) ( x ( 1 i 3 ) ) ( x ( 1 + i 3 ) ) ( x ( 1 i 3 ) ) Zeros: x = ± 2 , x = 1 ± i 3 , x = 1 ± i 3
  47. f ( x ) = x 4 2 x 3 + 27 x 2 2 x + 26 = ( x 2 2 x + 26 ) ( x 2 + 1 ) = ( x ( 1 + 5 i ) ) ( x ( 1 5 i ) ) ( x + i ) ( x i ) Zeros: x = 1 ± 5 i , x = ± i
  48. f ( x ) = 2 x 4 + 5 x 3 + 13 x 2 + 7 x + 5 = ( x 2 + 2 x + 5 ) ( 2 x 2 + x + 1 ) = 2 ( x ( 1 + 2 i ) ) ( x ( 1 2 i ) ) ( x ( 1 4 + i 7 4 ) ) ( x ( 1 4 i 7 4 ) ) Zeros: x = 1 ± 2 i , 1 4 ± i 7 4
  49. f ( x ) = 42 ( x 1 ) ( x + 1 ) ( x i ) ( x + i )
  50. f ( x ) = 117 ( x + 1 ) 2 ( x 2 i ) ( x + 2 i )
  51. f ( x ) = 3 ( x 2 ) 2 ( x + 2 ) ( x 7 i ) ( x + 7 i )
  52. f ( x ) = a ( x 6 ) ( x i ) ( x + i ) ( x ( 1 3 i ) ) ( x ( 1 + 3 i ) ) where a is any real number, a < 0
  53. f ( x ) = 2 ( x 2 i ) ( x + 2 i ) ( x + 2 )

Adapted from Precalculus, 3rd corrected edition, 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.