Zeros of Polynomial Functions
Chapter 3 Polynomial and Rational Functions
Concepts and Objectives
 Zeros of Polynomial Functions
 Find rational zeros of a polynomial function
 Use the Fundamental Theorem of Algebra to find a
function that satisfies given conditions
 Find all zeros of a polynomial function
Factor Theorem
 Example: Determine whether x + 4 is a factor of
The polynomial x – k is a factor of the polynomial
fx if and only if fk = 0.
    4 2
3 48 8 32f x x x x
Factor Theorem
 Example: Determine whether x + 4 is a factor of
Yes, it is.
The polynomial x – k is a factor of the polynomial
fx if and only if fk = 0.
    4 2
3 48 8 32f x x x x
 4 3 0 48 8 32
–123
0
0
48–12
0
–32
8
Rational Zeros Theorem
In other words, the numerator is a factor of the constant
term and the denominator is a factor of the first
coefficient.
If p/q is a rational number written in lowest
terms, and if p/q is a zero of f, a polynomial
function with integer coefficients, then p is a
factor of the constant term and q is a factor of
the leading coefficient.
Rational Zeros Theorem (cont.)
 Example: For the polynomial function defined by
(a) List all possible rational zeros
(b) Find all rational zeros and factor fx into linear
factors.
     4 3 2
8 26 27 11 4f x x x x x
Rational Zeros Theorem (cont.)
 Example: For the polynomial function defined by
(a) List all possible rational zeros
For a rational number to be zero, p must be a
factor of 4 and q must be a factor of 8:
     4 3 2
8 26 27 11 4f x x x x x
    1, 2, 4p
p
q
 
       
 
1 1 1
1, 2, 4, , ,
2 4 8
p
q
     , 1, 2, 4, 8q
Rational Zeros Theorem (cont.)
 Example: For the polynomial function defined by
(b) Find all rational zeros and factor fx into linear
factors.
Look at the graph of fx to judge where it crosses
the x-axis:
     4 3 2
8 26 27 11 4f x x x x x
Rational Zeros Theorem (cont.)
 Example: For the polynomial function defined by
Use synthetic division to show that –1 is a zero:
     4 3 2
8 26 27 11 4f x x x x x
  1 8 26 27 11 4
–8
8 –34
34
7
–7
4
–4
0
        3 2
1 8 34 7 4f x x x x x
Rational Zeros Theorem (cont.)
 Example, cont.
Now, we can check the remainder for a zero at 4:
zeros are at –1, 4,
        3 2
1 8 34 7 4f x x x x x
4 8 34 7 4
32
8 –2
–8
–1
–4
0
         2
1 4 8 2 1f x x x x x
          1 4 4 1 2 1f x x x x x

1 1
,
4 2
Fundamental Theorem of Algebra
The number of times a zero occurs is referred to as the
multiplicity of the zero.
Every function defined by a polynomial of degree
1 or more has at least one complex zero.
A function defined by a polynomial of degree n
has at most n distinct zeros.
Fundamental Theorem of Algebra
 Example: Find a function f defined by a polynomial of
degree 3 that satisfies the following conditions.
(a) Zeros of –3, –2, and 5; f–1 = 6
(b) 4 is a zero of multiplicity 3; f2 = –24
Fundamental Theorem of Algebra
 Example: Find a function f defined by a polynomial of
degree 3 that satisfies the following conditions.
(a) Zeros of –3, –2, and 5; f–1 = 6
Since f is of degree 3, there are at most 3 zeros, so these
three must be it. Therefore, fx has the form
        3 2 5f x a x x x
             3 2 5f x a x x x
Fundamental Theorem of Algebra
 Example, cont.
We also know that f–1 = 6, so we can solve for a:
Therefore, or
         31 1 1 2 51f a
      6 2 1 6 12a a
 
1
2
a
         
1
3 2 5
2
f x x x x
    31 19
15
2 2
f x x x
Fundamental Theorem of Algebra
 Example: Find a function f defined by a polynomial of
degree 3 that satisfies the following conditions.
(b) 4 is a zero of multiplicity 3; f2 = –24
This means that the zero 4 occurs 3 times:
or
        4 4 4f x a x x x
    
3
4f x a x
Fundamental Theorem of Algebra
 Example, cont.
Since f2 = –24, we can solve for a:
Therefore, or
    
3
42 2f a
     
3
24 2 8a a
3a
    
3
3 4f x x
    3 2
3 36 144 192f x x x x
Conjugate Zeros Theorem
This means that if 3 + 2i is a zero for a polynomial
function with real coefficients, then it also has 3 – 2i as a
zero.
If fx defines a polynomial function having only
real coefficients and if z = a + bi is a zero of fx,
where a and b are real numbers, then z = a – bi
is also a zero of fx.
Conjugate Zeros Theorem
 Example: Find a polynomial function of least degree
having only real coefficients and zeros –4 and 3 – i.
Conjugate Zeros Theorem
 Example: Find a polynomial function of least degree
having only real coefficients and zeros –4 and 3 – i.
The complex number 3 + i must also be a zero, so the
polynomial has at least three zeros and has to be at least
degree 3. We don’t know anything else about the
function, so we will let a = 1.
                4 3 3f x x x i x i
                   2
4 3 3 3 3f x x x i x i x i i
    2 2
4 3 3 9f x x x x ix x ix i       
           2 3 2
4 6 10 2 14 40f x x x x x x x
Putting It All Together
 Example: Find all zeros of
given that 2 + i is a zero.
     4 3 2
17 55 50f x x x x x
Putting It All Together
 Example: Find all zeros of
given that 2 + i is a zero.
First, we divide the function by :
     4 3 2
17 55 50f x x x x x
   2x i
   2 1 1 17 55 50i
1
2+i
1+i
1+3i
–16+3i
–35–10i
20–10i
50
0
                    3 2
2 1 16 3 20 10f x x i x i x i x i
Putting It All Together
 Example, cont.
We also know that the conjugate, 2 – i is a zero, so we
can divide the remainder by this:
                    3 2
2 1 16 3 20 10f x x i x i x i x i
    2 1 1 16 3 20 10i i i i
1
2–i
3
6–3i
–10
–20+10i
0
              2
2 2 3 10f x x i x i x x
Putting It All Together
 Example, cont.
Lastly, we can factor or use the quadratic formula to find
our remaining zeros:
So, our zeros are at 2+i, 2–i, –5, and 2.
              2
2 2 3 10f x x i x i x x
      2
3 10 5 2x x x x
               2 2 5 2f x x i x i x x
Classwork
 College Algebra
 Page 337: 6-22 (even), page 326: 28-40 (4),
page 318: 68-72 (even)

3.3 Zeros of Polynomial Functions

  • 1.
    Zeros of PolynomialFunctions Chapter 3 Polynomial and Rational Functions
  • 2.
    Concepts and Objectives Zeros of Polynomial Functions  Find rational zeros of a polynomial function  Use the Fundamental Theorem of Algebra to find a function that satisfies given conditions  Find all zeros of a polynomial function
  • 3.
    Factor Theorem  Example:Determine whether x + 4 is a factor of The polynomial x – k is a factor of the polynomial fx if and only if fk = 0.     4 2 3 48 8 32f x x x x
  • 4.
    Factor Theorem  Example:Determine whether x + 4 is a factor of Yes, it is. The polynomial x – k is a factor of the polynomial fx if and only if fk = 0.     4 2 3 48 8 32f x x x x  4 3 0 48 8 32 –123 0 0 48–12 0 –32 8
  • 5.
    Rational Zeros Theorem Inother words, the numerator is a factor of the constant term and the denominator is a factor of the first coefficient. If p/q is a rational number written in lowest terms, and if p/q is a zero of f, a polynomial function with integer coefficients, then p is a factor of the constant term and q is a factor of the leading coefficient.
  • 6.
    Rational Zeros Theorem(cont.)  Example: For the polynomial function defined by (a) List all possible rational zeros (b) Find all rational zeros and factor fx into linear factors.      4 3 2 8 26 27 11 4f x x x x x
  • 7.
    Rational Zeros Theorem(cont.)  Example: For the polynomial function defined by (a) List all possible rational zeros For a rational number to be zero, p must be a factor of 4 and q must be a factor of 8:      4 3 2 8 26 27 11 4f x x x x x     1, 2, 4p p q             1 1 1 1, 2, 4, , , 2 4 8 p q      , 1, 2, 4, 8q
  • 8.
    Rational Zeros Theorem(cont.)  Example: For the polynomial function defined by (b) Find all rational zeros and factor fx into linear factors. Look at the graph of fx to judge where it crosses the x-axis:      4 3 2 8 26 27 11 4f x x x x x
  • 9.
    Rational Zeros Theorem(cont.)  Example: For the polynomial function defined by Use synthetic division to show that –1 is a zero:      4 3 2 8 26 27 11 4f x x x x x   1 8 26 27 11 4 –8 8 –34 34 7 –7 4 –4 0         3 2 1 8 34 7 4f x x x x x
  • 10.
    Rational Zeros Theorem(cont.)  Example, cont. Now, we can check the remainder for a zero at 4: zeros are at –1, 4,         3 2 1 8 34 7 4f x x x x x 4 8 34 7 4 32 8 –2 –8 –1 –4 0          2 1 4 8 2 1f x x x x x           1 4 4 1 2 1f x x x x x  1 1 , 4 2
  • 11.
    Fundamental Theorem ofAlgebra The number of times a zero occurs is referred to as the multiplicity of the zero. Every function defined by a polynomial of degree 1 or more has at least one complex zero. A function defined by a polynomial of degree n has at most n distinct zeros.
  • 12.
    Fundamental Theorem ofAlgebra  Example: Find a function f defined by a polynomial of degree 3 that satisfies the following conditions. (a) Zeros of –3, –2, and 5; f–1 = 6 (b) 4 is a zero of multiplicity 3; f2 = –24
  • 13.
    Fundamental Theorem ofAlgebra  Example: Find a function f defined by a polynomial of degree 3 that satisfies the following conditions. (a) Zeros of –3, –2, and 5; f–1 = 6 Since f is of degree 3, there are at most 3 zeros, so these three must be it. Therefore, fx has the form         3 2 5f x a x x x              3 2 5f x a x x x
  • 14.
    Fundamental Theorem ofAlgebra  Example, cont. We also know that f–1 = 6, so we can solve for a: Therefore, or          31 1 1 2 51f a       6 2 1 6 12a a   1 2 a           1 3 2 5 2 f x x x x     31 19 15 2 2 f x x x
  • 15.
    Fundamental Theorem ofAlgebra  Example: Find a function f defined by a polynomial of degree 3 that satisfies the following conditions. (b) 4 is a zero of multiplicity 3; f2 = –24 This means that the zero 4 occurs 3 times: or         4 4 4f x a x x x      3 4f x a x
  • 16.
    Fundamental Theorem ofAlgebra  Example, cont. Since f2 = –24, we can solve for a: Therefore, or      3 42 2f a       3 24 2 8a a 3a      3 3 4f x x     3 2 3 36 144 192f x x x x
  • 17.
    Conjugate Zeros Theorem Thismeans that if 3 + 2i is a zero for a polynomial function with real coefficients, then it also has 3 – 2i as a zero. If fx defines a polynomial function having only real coefficients and if z = a + bi is a zero of fx, where a and b are real numbers, then z = a – bi is also a zero of fx.
  • 18.
    Conjugate Zeros Theorem Example: Find a polynomial function of least degree having only real coefficients and zeros –4 and 3 – i.
  • 19.
    Conjugate Zeros Theorem Example: Find a polynomial function of least degree having only real coefficients and zeros –4 and 3 – i. The complex number 3 + i must also be a zero, so the polynomial has at least three zeros and has to be at least degree 3. We don’t know anything else about the function, so we will let a = 1.                 4 3 3f x x x i x i                    2 4 3 3 3 3f x x x i x i x i i     2 2 4 3 3 9f x x x x ix x ix i                   2 3 2 4 6 10 2 14 40f x x x x x x x
  • 20.
    Putting It AllTogether  Example: Find all zeros of given that 2 + i is a zero.      4 3 2 17 55 50f x x x x x
  • 21.
    Putting It AllTogether  Example: Find all zeros of given that 2 + i is a zero. First, we divide the function by :      4 3 2 17 55 50f x x x x x    2x i    2 1 1 17 55 50i 1 2+i 1+i 1+3i –16+3i –35–10i 20–10i 50 0                     3 2 2 1 16 3 20 10f x x i x i x i x i
  • 22.
    Putting It AllTogether  Example, cont. We also know that the conjugate, 2 – i is a zero, so we can divide the remainder by this:                     3 2 2 1 16 3 20 10f x x i x i x i x i     2 1 1 16 3 20 10i i i i 1 2–i 3 6–3i –10 –20+10i 0               2 2 2 3 10f x x i x i x x
  • 23.
    Putting It AllTogether  Example, cont. Lastly, we can factor or use the quadratic formula to find our remaining zeros: So, our zeros are at 2+i, 2–i, –5, and 2.               2 2 2 3 10f x x i x i x x       2 3 10 5 2x x x x                2 2 5 2f x x i x i x x
  • 24.
    Classwork  College Algebra Page 337: 6-22 (even), page 326: 28-40 (4), page 318: 68-72 (even)