Transcript Lecture 3.4 - Faculty Website Index Valencia College

Polynomial And Rational Functions
Copyright © Cengage Learning. All rights reserved.
3.4
Real Zeros Of
Polynomials
Copyright © Cengage Learning. All rights reserved.
Objectives
► Rational Zeros of Polynomials
► Descartes’ Rule of Signs and Upper and Lower
Bounds for Roots
► Using Algebra and Graphing Devices to Solve
Polynomial Equations
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Real Zeros Of Polynomials
The Factor Theorem tells us that finding the zeros of a
polynomial is really the same thing as factoring it into linear
factors.
In this section we study some algebraic methods that help
us to find the real zeros of a polynomial and thereby factor
the polynomial.
We begin with the rational zeros of a polynomial.
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Rational Zeros of Polynomials
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Rational Zeros of Polynomials
To help us understand the next theorem, let’s consider the
polynomial
P(x) = (x – 2)(x – 3)(x – 4)
= x3 – x2 – 14x + 24
Factored form
Expanded form
From the factored form we see that the zeros of P are 2, 3,
and –4. When the polynomial is expanded, the constant 24
is obtained by multiplying (–2)  (–3)  4.
This means that the zeros of the polynomial are all factors
of the constant term.
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Rational Zeros of Polynomials
The following generalizes this observation.
We see from the Rational Zeros Theorem that if the leading
coefficient is 1 or –1, then the rational zeros must be
factors of the constant term.
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Example 1 – Using the Rational Zeros Theorem
Find the rational zeros of P(x) = x3 – 3x + 2.
Solution:
Since the leading coefficient is 1, any rational zero must be
a divisor of the constant term 2.
So the possible rational zeros are 1 and 2. We test each
of these possibilities.
P(1) = (1)3 – 3(1) + 2
=0
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Example 1 – Solution
cont’d
P (–1) = (–1)3 – 3(–1) + 2
=4
P (2) = (2)3 – 3(2) + 2
=4
P (–2) = (–2)3 – 3(–2) + 2
=0
The rational zeros of P are 1 and –2.
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Rational Zeros of Polynomials
The following box explains how we use the Rational Zeros
Theorem with synthetic division to factor a polynomial.
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Example 2 – Finding Rational Zeros
Factor the polynomial P(x) = 2x3 + x2 – 13x + 6, and find all
its zeros.
Solution:
By the Rational Zeros Theorem the rational zeros of P are
of the form
The constant term is 6 and the leading coefficient is 2, so
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Example 2 – Solution
cont’d
The factors of 6 are 1, 2, 3, 6, and the factors of 2 are
1, 2. Thus, the possible rational zeros of P are
Simplifying the fractions and eliminating duplicates, we get
the following list of possible rational zeros:
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Example 2 – Solution
cont’d
To check which of these possible zeros actually are zeros,
we need to evaluate P at each of these numbers. An
efficient way to do this is to use synthetic division.
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Example 2 – Solution
cont’d
From the last synthetic division we see that 2 is a zero of P
and that P factors as
P(x) = 2x3 + x2 – 13x + 6
Given polynomial
= (x – 2)(2x2 + 5x – 3)
From synthetic division
= (x – 2)(2x – 1)(x + 3)
Factor 2x2 + 5x – 3
From the factored form we see that the zeros of P are
2, , and –3.
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Descartes’ Rule of Signs and Upper
and Lower Bounds for Roots
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Descartes’ Rule of Signs and Upper and Lower Bounds for Roots
To describe this rule, we need the concept of variation in
sign.
If P(x) is a polynomial with real coefficients, written with
descending powers of x (and omitting powers with
coefficient 0), then a variation in sign occurs whenever
adjacent coefficients have opposite signs.
For example,
has three variations in sign.
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Descartes’ Rule of Signs and Upper and Lower Bounds for Roots
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Example 4 – Using Descartes’ Rule
Use Descartes’ Rule of Signs to determine the possible
number of positive and negative real zeros of the
polynomial
P(x) = 3x6 + 4x5 + 3x3 – x – 3
Solution:
The polynomial has one variation in sign, so it has one
positive zero. Now
P(–x) = 3(–x)6 + 4(–x)5 + 3(–x)3 – (–x) – 3
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Example 4 – Solution
cont’d
So P(–x) has three variations in sign. Thus, P(x) has either
three or one negative zero(s), making a total of either two
or four real zeros.
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Descartes’ Rule of Signs and Upper and Lower Bounds for Roots
We say that a is a lower bound and b is an upper bound
for the zeros of a polynomial if every real zero c of the
polynomial satisfies a  c  b.
The next theorem helps us to find such bounds for the
zeros of a polynomial.
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Example 5 – Upper and Lower Bounds for Zeros of a Polynomial
Show that all the real zeros of the polynomial
P(x) = x4 – 3x2 + 2x – 5 lie between –3 and 2.
Solution:
We divide P(x) by x – 2 and x + 3 using synthetic division.
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Example 5 – Solution
cont’d
By the Upper and Lower Bounds Theorem, –3 is a lower
bound and 2 is an upper bound for the zeros.
Since neither –3 nor 2 is a zero (the remainders are not 0
in the division table), all the real zeros lie between these
numbers.
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Using Algebra and Graphing Devices
to Solve Polynomial Equations
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Example 7 – Solving a Fourth-Degree Equation Graphically
Find all real solutions of the following equation, rounded to
the nearest tenth.
3x4 + 4x3 – 7x2 – 2x – 3 = 0
Solution:
To solve the equation graphically, we graph
P(x) = 3x4 + 4x3 – 7x2 – 2x – 3
First we use the Upper and Lower Bounds Theorem to find
two numbers between which all the solutions must lie.
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Example 7 – Solution
cont’d
This allows us to choose a viewing rectangle that is certain
to contain all the x-intercepts of P. We use synthetic
division and proceed by trial and error.
To find an upper bound, we try the whole numbers,
1, 2, 3, . . . , as potential candidates. We see that 2 is an
upper bound for the solutions.
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Example 7 – Solution
cont’d
Now we look for a lower bound, trying the numbers –1, –2,
and –3 as potential candidates. We see that –3 is a lower
bound for the solutions.
Thus, all the solutions lie between –3 and 2.
So the viewing rectangle [–3, 2] by [–20, 20] contains all
the x-intercepts of P.
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Example 7 – Solution
cont’d
The graph in Figure 3 has two x-intercepts, one between
–3 and –2 and the other between 1 and 2.
y = 3x4 + 4x3 – 7x2 – 2x – 3
Figure 3
Zooming in, we find that the solutions of the equation, to
the nearest tenth, are –2.3 and 1.3.
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