1. 3.3 - 1 3.3 Zero of Polynomial Functions Factor Theorem Rational Zeros Theorem Number of Zeros Conjugate Zeros Theorem Finding Zeros of a Polynomial Function Descartes’ Rule of Signs

2. 3.3 - 2 Factor Theorem The polynomial x – k is a factor of the polynomial  (x) if and only if  (k) = 0.

3. 3.3 - 3 Example 1 DECIDING WHETHER x – k IS A FACTOR OF  (x) Solution By the factor theorem, x – 1 will be a factor of  (x) if and only if  (1) = 0. Use synthetic division and the remainder theorem to decide. a. Determine whether x – 1 is a factor of  (x). Use a zero coefficient for the missing term.  (1) = 7 Since the remainder is 7 and not 0, x – 1 is not a factor of  (x).

4. 3.3 - 4 Example 1 DECIDING WHETHER x – k IS A FACTOR OF  (x) Solution b. Determine whether x – 1 is a factor of  (x).  (1) = 0 Because the remainder is 0, x – 1 is a factor. Additionally, we can determine from the coefficients in the bottom row that the other factor is

5. 3.3 - 5 Example 1 DECIDING WHETHER x – k IS A FACTOR OF  (x) Solution b. Determine whether x – k is a factor of  (x).  (1) = 0 Thus,

6. 3.3 - 6 Example 2 FACTORING A POLYNOMIAL GIVEN A ZERO Solution Since – 3 is a zero of , x – (– 3) = x + 3 is a factor. Factor the following into linear factors if – 3 is a zero of . Use synthetic division to divide  (x) by x + 3. The quotient is 6x 2 + x – 1.

7. 3.3 - 7 Example 2 FACTORING A POLYNOMIAL GIVEN A ZERO Solution x – (– 3) = x + 3 is a factor. Factor the following into linear factors if – 3 is a zero of . Factor 6x 2 + x – 1. The quotient is 6x 2 + x – 1, so These factors are all linear.

8. 3.3 - 8 Rational Zeros Theorem If is a rational number written in lowest terms, and if is a zero of , a polynomial function with integer coefficients, then p is a factor of the constant term and q is a factor of the leading coefficient.

9. 3.3 - 9 Example 3 USING THE RATIONAL ZERO THEOREM Solution Use the remainder theorem to show that 1 is a zero. b. Find all rational zeros and factor  (x) into linear factors. Do the following for the polynomial function defined by Use “trial and error” to find zeros.  (1) = 0 The 0 remainder shows that 1 is a zero. The quotient is 6x 3 +13x 2 + x – 4, so  (x) = (x – 1)(6x 3 +13x 2 + x – 2).

10. 3.3 - 10 Example 3 USING THE RATIONAL ZERO THEOREM Solution Now, use the quotient polynomial and synthetic division to find that – 2 is a zero. b. Find all rational zeros and factor  (x) into linear equations. Do the following for the polynomial function defined by  (– 2 ) = 0 The new quotient polynomial is 6x 2 + x – 1. Therefore,  (x) can now be factored.

11. 3.3 - 11 Example 3 USING THE RATIONAL ZERO THEOREM Solution b. Find all rational zeros and factor  (x) into linear equations. Do the following for the polynomial function defined by

12. 3.3 - 12 Example 3 USING THE RATIONAL ZERO THEOREM Solution Setting 3x – 1 = 0 and 2x + 1 = 0 yields the zeros ⅓ and – ½. In summary the rational zeros are 1, – 2, ⅓, – ½, and the linear factorization of  (x) is b. Find all rational zeros and factor  (x) into linear equations. Do the following for the polynomial function defined by Check by multiplying these factors.

13. 3.3 - 13 Note In Example 3, once we obtained the quadratic factor of 6x 2 + x – 1, we were able to complete the work by factoring it directly. Had it not been easily factorable, we could have used the quadratic formula to find the other two zeros (and factors).

14. 3.3 - 14 Caution The rational zeros theorem gives only possible rational zeros; it does not tell us whether these rational numbers are actual zeros. We must rely on other methods to determine whether or not they are indeed zeros. Furthermore, the function must have integer coefficients. To apply the rational zeros theorem to a polynomial with fractional coefficients, multiply through by the least common denominator of all fractions. For example, any rational zeros of p(x) defined below will also be rational zeros of q(x). Multiply the terms of p(x) by 6.

15. 3.3 - 15 Fundamental Theorem of Algebra Every function defined by a polynomial of degree 1 or more has at least one complex zero.

16. 3.3 - 16 Fundamental Theorem of Algebra From the fundamental theorem, if  (x) is of degree 1 or more, then there is some number k 1 such that k 1 = 0. By the factor theorem, for some polynomial q 1 (x).

17. 3.3 - 17 Fundamental Theorem of Algebra If q 1 (x) is of degree 1 or more, the fundamental theorem and the factor theorem can be used to factor q 1 (x) in the same way. There is some number k 2 such that q 1 (k 2 ) = 0, so

18. 3.3 - 18 Fundamental Theorem of Algebra and Assuming that  (x) has a degree n and repeating this process n times gives where a is the leading coefficient of  (x). Each of these factors leads to a zero of  (x), so  (x) has the same n zeros k 1, k 2, k 3,…, k n. This result suggests the number of zeros theorem.

19. 3.3 - 19 Number of Zeros Theorem A function defined by a polynomial of degree n has at most n distinct zeros.

20. 3.3 - 20 Example 4 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (REAL ZEROS) Solution These three zeros give x – (– 1) = x + 1, x – 2, and x – 4 as factors of  (x). Since  (x) is to be of degree 3, these are the only possible factors by the number of zeros theorem. Therefore,  (x) has the form for some real number a. a. Zeros of – 1, 2, and 4;  (1) = 3 Find a function  defined by a polynomial of degree 3 that satisfies the given conditions.

21. 3.3 - 21 Example 4 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (REAL ZEROS) Solution To find a, use the fact that  (1) = 3. a. Zeros of – 1, 2, and 4;  (1) = 3 Find a function  defined by a polynomial of degree 3 that satisfies the given conditions. Let x = 1.  (1) = 3 Solve for a.

22. 3.3 - 22 Example 4 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (REAL ZEROS) Solution Thus, a. Zeros of – 1, 2, and 4;  (1) = 3 Find a function  defined by a polynomial of degree 3 that satisfies the given conditions. Multiply. or

23. 3.3 - 23 Example 4 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (REAL ZEROS) Solution The polynomial function defined by  (x) has the form b. – 2 is a zero of multiplicity 3;  (– 1) = 4 Find a function  defined by a polynomial of degree 3 that satisfies the given conditions.

24. 3.3 - 24 Example 4 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (REAL ZEROS) Solution Since  ( – 1) = 4, b. – 2 is a zero of multiplicity 3;  (– 1) = 4 Find a function  defined by a polynomial of degree 3 that satisfies the given conditions. and Remember: (x + 2) 3 ≠ x 3 + 2 3

25. 3.3 - 25 Note In Example 4a, we cannot clear the denominators in  (x) by multiplying both sides by 2 because the result would equal 2  (x), not  (x).

26. 3.3 - 26 Conjugate Zeros Theorem If  (x) defines a polynomial function having only real coefficients and if z = a + bi is a zero of  (x), where a and b are real numbers, then

27. 3.3 - 27 Caution It is essential that the polynomial have only real coefficients. For example,  (x) = x – (1 + i) has 1 + i as a zero, but the conjugate 1 – i is not a zero.

28. 3.3 - 28 Example 5 FINDING A POLYNOMIAL FUNCTION THAT SATISFIES GIVEN CONDITIONS (COMPLEX ZEROS) Solution The complex number 2 – i must also be a zero, so the polynomial has at least three zeros, 3, 2 + i, and 2 – i. For the polynomial to be of least degree, these must be the only zeros. By the factor theorem there must be three factors, x – 3, x – (2 + i), and x – (2 – i), so Find a polynomial function of least degree having only real coefficients and zeros 3 and 2 + i.

29. 3.3 - 29 Example 5 FINDING A POLYNOMIAL FINCTION THAT SATISFIES GIVEN CONDITIONS (COMPLEX ZEROS) Solution Find a polynomial function of least degree having only real coefficients and zeros 3 and 2 + i. Remember: i 2 = – 1

30. 3.3 - 30 Example 5 FINDING A POLYNOMIAL FINCTION THAT SATISFIES GIVEN CONDITIONS (COMPLEX ZEROS) Solution Any nonzero multiple of x 3 – 7x 2 + 17x – 15 also satisfies the given conditions on zeros. The information on zeros given in the problem is not enough to give a specific value for the leading coefficient. Find a polynomial function of least degree having only real coefficients and zeros 3 and 2 + i.

31. 3.3 - 31 Example 6 FINDING ALL ZEROS OF A POLYNOMIAL FUNCTION GIVEN ONE ZERO Solution Since the polynomial function has only real coefficients and since 1 – i is a zero, by the conjugate zeros theorem 1 + i is also a zero. To find the remaining zeros, first use synthetic division to divide the original polynomial by x – (1 – i). Find all zeros of  (x) = x 4 – 7x 3 + 18x 2 – 22x + 12, given that 1 – i is a zero.

32. 3.3 - 32 Example 6 FINDING ALL ZEROS OF A POLYNOMIAL FUNCTION GIVEN ONE ZERO Solution Find all zeros of  (x) = x 4 – 7x 3 + 18x 2 – 22x + 12, given that 1 – i is a zero.

33. 3.3 - 33 Example 6 FINDING ALL ZEROS OF A POLYNOMIAL FUNCTION GIVEN ONE ZERO Solution By the factor theorem, since x = 1 – i is a zero of  (x), x – (1 – i) is a factor, and  (x) can be written as We know that x = 1 + i is also a zero of  (x), so for some polynomial q(x). Find all zeros of  (x) = x 4 – 7x 3 + 18x 2 – 22x + 12, given that 1 – i is a zero.

34. 3.3 - 34 Example 6 FINDING ALL ZEROS OF A POLYNOMIAL FUNCTION GIVEN ONE ZERO Solution Thus, Use synthetic division to find q(x). Find all zeros of  (x) = x 4 – 7x 3 + 18x 2 – 22x + 12, given that 1 – i is a zero.

35. 3.3 - 35 Example 6 FINDING ALL ZEROS OF A POLYNOMIAL FUNCTION GIVEN ONE ZERO Solution Since q(x) = x 2 – 5x + 6,  (x) can be written as Factoring x 2 – 5x + 6 as (x – 2)(x – 3), we see that the remaining zeros are 2 and 3. The four zeros of  (x) are 1 – i, 1 + i, 2, and 3. Find all zeros of  (x) = x 4 – 7x 3 + 18x 2 – 22x + 12, given that 1 – i is a zero.

36. 3.3 - 36 Descartes’ Rule of Signs Let  (x) define a polynomial function with real coefficients and a nonzero constant term, with terms in descending powers of x. a.The number of positive real zeros of  either equals the number of variations in sign occurring in the coefficients of  (x), or is less than the number of variations by a positive even integer. b.The number of negative real zeros of  either equals the number of variations in sign occurring in the coefficients of  (– x), or is less than the number of variations by a positive even integer.

37. 3.3 - 37 Example 7 APPLYING DESCARTES’ RULE OF SIGNS Solution We first consider the possible number of positive zeros by observing that  (x) has three variations in signs: Determine the possible number of positive real zeros and negative real zeros of 123

38. 3.3 - 38 Example 7 APPLYING DESCARTES’ RULE OF SIGNS Solution Thus, by Descartes’ rule of signs,  has either 3 or 3 – 2 = 1 positive real zeros. For negative zeros, consider the variations in signs for  (– x): Determine the possible number of positive real zeros and negative real zeros of 1

39. 3.3 - 39 Example 7 APPLYING DESCARTES’ RULE OF SIGNS Solution Determine the possible number of positive real zeros and negative real zeros of 1 Since there is only one variation in sign,  (x) has only 1 negative real zero.