SlideShare a Scribd company logo
MATH 107
Section 3.2
Polynomial Functions
2© 2010 Pearson Education, Inc. All rights reserved
Definitions
A polynomial function of degree n is a
function of the form
where n is a nonnegative integer and the
coefficients an, an–1, …, a2, a1, a0 are real
numbers with an ≠ 0.
f x( ) = an xn
+ an-1xn-1
+ ...+ a2 x2
+ a1x + a0 ,
3© 2010 Pearson Education, Inc. All rights reserved
Definitions
A constant function f (x) = a, (a ≠ 0) which
may be written as f (x) = ax0, is a polynomial
of degree 0.
The term anxn is called the leading term.
The number an is called the leading
coefficient, and a0 is the constant term.
4© 2010 Pearson Education, Inc. All rights reserved
Definitions
Degree Name
0 Zero function: f(x)=0
1 linear
2 quadratic
3 cubic
4 quartic
5 quintic
5© 2010 Pearson Education, Inc. All rights reserved
COMMON PROPERTIES OF
POLYNOMIAL FUNCTIONS
1. The domain of a polynomial function is the
set of all real numbers.
6© 2010 Pearson Education, Inc. All rights reserved
2. The graph of a polynomial function is a
continuous curve.
7© 2010 Pearson Education, Inc. All rights reserved
3. The graph of a polynomial function is a
smooth curve.
8© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 1 Polynomial Functions
State which functions are polynomial functions. For
each polynomial function, find its degree, the leading
term, and the leading coefficient.
f (x) = 5x4 – 2x + 7
Solution
9© 2010 Pearson Education, Inc. All rights reserved
END BEHAVIOR OF POLYNOMIAL FUNCTIONS
Case 1
n Even
a > 0
The graph
rises to the left
and right,
similar to
y = x2.
10© 2010 Pearson Education, Inc. All rights reserved
END BEHAVIOR OF POLYNOMIAL FUNCTIONS
Case 2
n Even
a < 0
The graph
falls to the left
and right,
similar to
y = –x2.
11© 2010 Pearson Education, Inc. All rights reserved
END BEHAVIOR OF POLYNOMIAL FUNCTIONS
Case 3
n Odd
a > 0
The graph
rises to the
right and falls
to the left,
similar to
y = x3.
12© 2010 Pearson Education, Inc. All rights reserved
END BEHAVIOR OF POLYNOMIAL FUNCTIONS
Case 4
n Odd
a < 0
The graph
rises to the left
and falls to the
right, similar
to y = –x3.
13© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 2
Understanding the End Behavior of a
Polynomial Function
Let
function of degree 3. Show that
P x( ) = 2x3
+ 5x2
- 7x +11 be a polynomial
  3
2P x x
when |x| is very large.
Solution
P x( ) = x3
2 +
5
x
-
7
x2
+
11
x3
æ
èç
ö
ø÷
When |x| is very large
5
x
,
7
x2
and
11
x3
are
close to 0.
P x( ) » x3
2 + 0 - 0 + 0( ) » 2x3
.Therefore,
14© 2010 Pearson Education, Inc. All rights reserved
THE LEADING-TERM TEST
Its leading term is anxn.
The behavior of the graph of f as x → ∞ or as
x → –∞ is similar to one of the following four
graphs and is described as shown in each case.
The middle portion of each graph, indicated by
the dashed lines, is not determined by this test.
Let   1
1 1 0... 0n n
nn nf x a x ax ax aa 
     
be a polynomial function.
15© 2010 Pearson Education, Inc. All rights reserved
Case 1
n Even
an > 0
THE LEADING-TERM TEST
16© 2010 Pearson Education, Inc. All rights reserved
Case 2
n Even
an < 0
THE LEADING-TERM TEST
17© 2010 Pearson Education, Inc. All rights reserved
Case 3
n Odd
an > 0
THE LEADING-TERM TEST
18© 2010 Pearson Education, Inc. All rights reserved
Case 4
n Odd
an < 0
THE LEADING-TERM TEST
19© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 3 Using the Leading-Term Test
Use the leading-term test to determine the end
behavior of the graph of
y = f x( ) = -2x3
+ 3x2
+ 4.
Solution
Here n = 3 (odd) and an = –2 < 0. Thus, Case 4
applies. The graph of f (x) rises to the left and
falls to the right. This behavior is described as
y ∞ as x –∞ and y –∞ as x ∞.
20© 2010 Pearson Education, Inc. All rights reserved
REAL ZEROS OF POLYNOMIAL FUNCTIONS
1. c is a zero of f .
2. c is a solution (or root) of the equation f
(x) = 0.
3. c is an x-intercept of the graph of f . The
point (c, 0) is on the graph of f .
If f is a polynomial function and c is a real
number, then the following statements are
equivalent.
21© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 4 Finding the Zeros of a Polynomial Function
Find all zeros of each polynomial function.
 
 
3 2
3 2
a. 2 2
b. 2 2
f x x x x
g x x x x
   
   
Solution
Factor f (x) and then solve f (x) = 0.
22© 2010 Pearson Education, Inc. All rights reserved
REAL ZEROS OF POLYNOMIAL FUNCTIONS
A polynomial function of degree n with real
coefficients has, at most, n real zeros.
23© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 6 Finding the Number of Real Zeros
Find the number of distinct real zeros of the
following polynomial functions of degree 3.
Solution
     
          
22
a. 1 2 3
b. 1 1 c. 3 1
f x x x x
g x x x h x x x
   
     
24© 2010 Pearson Education, Inc. All rights reserved
MULTIPLICITY OF A ZERO
If c is a zero of a polynomial function f (x)
and the corresponding factor (x – c) occurs
exactly m times when f (x) is factored, then c
is called a zero of multiplicity m.
m Behavior of f at x=c
Odd Crosses
Even touches
25© 2010 Pearson Education, Inc. All rights reserved
ODD MULTIPLICITY OF A ZERO
26© 2010 Pearson Education, Inc. All rights reserved
EVEN MULTIPLICITY OF A ZERO
27© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 7 Finding the Zeros and Their Multiplicity
Find the zeros of the polynomial function
f (x) = x2(x + 1)(x – 2), and give the multiplicity
of each zero.
Solution
28© 2010 Pearson Education, Inc. All rights reserved
TURNING POINTS
A local (or relative) maximum value of f is
higher than any nearby point on the graph.
A local (or relative) minimum value of f is lower
than any nearby point on the graph.
The graph points corresponding to the local
maximum and local minimum values are called
turning points. At each turning point the graph
changes from increasing to decreasing or vice
versa.
29© 2010 Pearson Education, Inc. All rights reserved
TURNING POINTS
The graph of f
has turning points
at (–1, 12) and at
(2, –15).
f x( ) = 2x3
- 3x2
-12x + 5
30© 2010 Pearson Education, Inc. All rights reserved
NUMBER OF TURNING POINTS
If f (x) is a polynomial of degree n, then the
graph of f has, at most, (n – 1) turning points.
31© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 8 Finding the Number of Turning Points
Use a graphing calculator and the window
–10  x  10; –30  y  30 to find the number of
turning points of the graph of each polynomial.
 
 
 
4 2
3 2
3 2
a. 7 18
b. 12
c. 3 3 1
f x x x
g x x x x
h x x x x
  
  
   
32© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 8 Finding the Number of Turning Points
Solution
f has three total turning points; two local
minimum and one local maximum.
a. f x( ) = x4
- 7x2
-18
33© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 8 Finding the Number of Turning Points
Solution continued
g has two total turning points; one local
maximum and one local minimum.
b. g x( ) = x3
+ x2
-12x
34© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 8 Finding the Number of Turning Points
Solution continued
h has no turning points, it is increasing on the
interval (–∞, ∞).
c. h x( ) = x3
- 3x2
+ 3x -1
35© 2010 Pearson Education, Inc. All rights reserved
GRAPHING A POLYNOMIAL FUNCTION
Step 1 Determine the end behavior. Apply
the leading-term test.
Step 2 Find the zeros of the polynomial
function. Set f (x) = 0 and solve. The
zeros give the x-intercepts.
Step 3 Find the y-intercept by computing
f (0).
36© 2010 Pearson Education, Inc. All rights reserved
Step 4 Draw the graph. Use the multiplicities
of each zero to decide whether the
graph crosses the x-axis.
Use the fact that the number of turning
points is less than the degree of the
polynomial to check whether the graph
is drawn correctly.
37© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 9 Graphing a Polynomial Function
Sketch the graph of   3 2
4 4 16.f x x x x    
Solution
Step 1 Determine end
behavior.
Degree = 3
Leading coefficient = –1
End behavior shown in
sketch.
38© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 9 Graphing a Polynomial Function
Solution continued
Step 2 Find the zeros by setting f (x) = 0.
Each zero has
multiplicity 1, the
graph crosses the
x-axis at each
zero.
39© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 9 Graphing a Polynomial Function
Solution continued
Step 3 Find the y-intercept by computing f (0).
The y-intercept is f (0) = 16. The graph passes
through (0, 16).
40© 2010 Pearson Education, Inc. All rights reserved
EXAMPLE 9 Graphing a Polynomial Function
Solution continued
Step 4 Draw the
graph.
The number of
turning points is 2,
which is less than
3, the degree of f.

More Related Content

What's hot

Factor theorem
Factor theoremFactor theorem
Factor theorem
Department of Education
 
7.2 simplifying radicals
7.2 simplifying radicals7.2 simplifying radicals
7.2 simplifying radicalshisema01
 
Rational Exponents
Rational ExponentsRational Exponents
Rational Exponents
Ver Louie Gautani
 
Polynomial equations
Polynomial equationsPolynomial equations
Polynomial equations
Arjuna Senanayake
 
Polynomial Function and Synthetic Division
Polynomial Function and Synthetic DivisionPolynomial Function and Synthetic Division
Polynomial Function and Synthetic Division
AleczQ1414
 
Quadratic inequalities
Quadratic inequalitiesQuadratic inequalities
Quadratic inequalitiesmstf mstf
 
Graphs of polynomial functions
Graphs of polynomial functionsGraphs of polynomial functions
Graphs of polynomial functionsCarlos Erepol
 
Sector circle
Sector circleSector circle
Sector circle
EdTechonGC Mallett
 
Multiplying polynomials
Multiplying polynomialsMultiplying polynomials
Multiplying polynomialscvaughn911
 
Trigonometric Identities.
Trigonometric Identities. Trigonometric Identities.
Trigonometric Identities.
jhey2
 
Trigonometry Functions
Trigonometry FunctionsTrigonometry Functions
Trigonometry Functions
Siva Palanisamy
 
Arc length, area of a sector and segments of a circle
Arc length, area of a sector and segments of a circleArc length, area of a sector and segments of a circle
Arc length, area of a sector and segments of a circle
Joey Valdriz
 
Simplifying radical expressions, rational exponents, radical equations
Simplifying radical expressions, rational exponents, radical equationsSimplifying radical expressions, rational exponents, radical equations
Simplifying radical expressions, rational exponents, radical equationsJessica Garcia
 
Variation
VariationVariation
theorems on tangents, Secants and segments of a circles 1.pptx
theorems on tangents, Secants and segments of a circles 1.pptxtheorems on tangents, Secants and segments of a circles 1.pptx
theorems on tangents, Secants and segments of a circles 1.pptx
PeejayOAntonio
 
Module 7 triangle trigonometry super final
Module 7 triangle trigonometry super finalModule 7 triangle trigonometry super final
Module 7 triangle trigonometry super finalDods Dodong
 
Radian and degree measure.
 Radian and degree measure. Radian and degree measure.
Radian and degree measure.
Kiran S B
 
Special Right Triangles
Special Right TrianglesSpecial Right Triangles
Special Right TrianglesFidelfo Moral
 

What's hot (20)

Factor theorem
Factor theoremFactor theorem
Factor theorem
 
Graphing polynomials
Graphing polynomialsGraphing polynomials
Graphing polynomials
 
7.2 simplifying radicals
7.2 simplifying radicals7.2 simplifying radicals
7.2 simplifying radicals
 
Rational Exponents
Rational ExponentsRational Exponents
Rational Exponents
 
Polynomial equations
Polynomial equationsPolynomial equations
Polynomial equations
 
Polynomial Function and Synthetic Division
Polynomial Function and Synthetic DivisionPolynomial Function and Synthetic Division
Polynomial Function and Synthetic Division
 
Quadratic inequalities
Quadratic inequalitiesQuadratic inequalities
Quadratic inequalities
 
Graphs of polynomial functions
Graphs of polynomial functionsGraphs of polynomial functions
Graphs of polynomial functions
 
Sector circle
Sector circleSector circle
Sector circle
 
Polynomial functions
Polynomial functionsPolynomial functions
Polynomial functions
 
Multiplying polynomials
Multiplying polynomialsMultiplying polynomials
Multiplying polynomials
 
Trigonometric Identities.
Trigonometric Identities. Trigonometric Identities.
Trigonometric Identities.
 
Trigonometry Functions
Trigonometry FunctionsTrigonometry Functions
Trigonometry Functions
 
Arc length, area of a sector and segments of a circle
Arc length, area of a sector and segments of a circleArc length, area of a sector and segments of a circle
Arc length, area of a sector and segments of a circle
 
Simplifying radical expressions, rational exponents, radical equations
Simplifying radical expressions, rational exponents, radical equationsSimplifying radical expressions, rational exponents, radical equations
Simplifying radical expressions, rational exponents, radical equations
 
Variation
VariationVariation
Variation
 
theorems on tangents, Secants and segments of a circles 1.pptx
theorems on tangents, Secants and segments of a circles 1.pptxtheorems on tangents, Secants and segments of a circles 1.pptx
theorems on tangents, Secants and segments of a circles 1.pptx
 
Module 7 triangle trigonometry super final
Module 7 triangle trigonometry super finalModule 7 triangle trigonometry super final
Module 7 triangle trigonometry super final
 
Radian and degree measure.
 Radian and degree measure. Radian and degree measure.
Radian and degree measure.
 
Special Right Triangles
Special Right TrianglesSpecial Right Triangles
Special Right Triangles
 

Similar to Lecture 8 section 3.2 polynomial equations

grph_of_polynomial_fnctn.ppt
grph_of_polynomial_fnctn.pptgrph_of_polynomial_fnctn.ppt
grph_of_polynomial_fnctn.ppt
LunaLedezma3
 
Unit 2.3
Unit 2.3Unit 2.3
Unit 2.3
Mark Ryder
 
Lecture 7 quadratic equations
Lecture 7   quadratic equationsLecture 7   quadratic equations
Lecture 7 quadratic equationsnjit-ronbrown
 
Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000
sheetslibrary
 
Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721
Glicerio Gavilan
 
2 1 polynomials
2 1 polynomials2 1 polynomials
2 1 polynomialshisema01
 
end behavior.....pptx
end behavior.....pptxend behavior.....pptx
end behavior.....pptx
LunaLedezma3
 
3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx
Alaa480924
 
end behavior.....pdf
end behavior.....pdfend behavior.....pdf
end behavior.....pdf
LunaLedezma3
 
best for me1017103 634411962199405000 (2)
best for me1017103 634411962199405000 (2)best for me1017103 634411962199405000 (2)
best for me1017103 634411962199405000 (2)Sourav Rider
 
Unit 1.2
Unit 1.2Unit 1.2
Unit 1.2
Mark Ryder
 
Unit 2.6
Unit 2.6Unit 2.6
Unit 2.6
Mark Ryder
 
Evaluating and Graphing Polynomial Functions
Evaluating and Graphing Polynomial FunctionsEvaluating and Graphing Polynomial Functions
Evaluating and Graphing Polynomial Functionsswartzje
 
Section 13.5 special factoing techniques
Section 13.5 special factoing techniquesSection 13.5 special factoing techniques
Section 13.5 special factoing techniques
GlenSchlee
 
1519 differentiation-integration-02
1519 differentiation-integration-021519 differentiation-integration-02
1519 differentiation-integration-02
Dr Fereidoun Dejahang
 
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptxAIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
Zawarali786
 
G10_Daily Lesson Log_Second QUARTER.docx
G10_Daily Lesson Log_Second QUARTER.docxG10_Daily Lesson Log_Second QUARTER.docx
G10_Daily Lesson Log_Second QUARTER.docx
SinamarLaroyaRefuerz
 
Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)
Mohammed Matar
 

Similar to Lecture 8 section 3.2 polynomial equations (20)

grph_of_polynomial_fnctn.ppt
grph_of_polynomial_fnctn.pptgrph_of_polynomial_fnctn.ppt
grph_of_polynomial_fnctn.ppt
 
Unit 2.3
Unit 2.3Unit 2.3
Unit 2.3
 
Lecture 7 quadratic equations
Lecture 7   quadratic equationsLecture 7   quadratic equations
Lecture 7 quadratic equations
 
Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000
 
Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721
 
2 1 polynomials
2 1 polynomials2 1 polynomials
2 1 polynomials
 
end behavior.....pptx
end behavior.....pptxend behavior.....pptx
end behavior.....pptx
 
3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx3.1 Characteristics of Polynomial Functions.pptx
3.1 Characteristics of Polynomial Functions.pptx
 
end behavior.....pdf
end behavior.....pdfend behavior.....pdf
end behavior.....pdf
 
best for me1017103 634411962199405000 (2)
best for me1017103 634411962199405000 (2)best for me1017103 634411962199405000 (2)
best for me1017103 634411962199405000 (2)
 
Unit 1.2
Unit 1.2Unit 1.2
Unit 1.2
 
Unit 2.6
Unit 2.6Unit 2.6
Unit 2.6
 
Evaluating and Graphing Polynomial Functions
Evaluating and Graphing Polynomial FunctionsEvaluating and Graphing Polynomial Functions
Evaluating and Graphing Polynomial Functions
 
2 5 zeros of poly fn
2 5 zeros of poly fn2 5 zeros of poly fn
2 5 zeros of poly fn
 
Section 13.5 special factoing techniques
Section 13.5 special factoing techniquesSection 13.5 special factoing techniques
Section 13.5 special factoing techniques
 
1519 differentiation-integration-02
1519 differentiation-integration-021519 differentiation-integration-02
1519 differentiation-integration-02
 
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptxAIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
AIOU Code 803 Mathematics for Economists Semester Spring 2022 Assignment 2.pptx
 
G10_Daily Lesson Log_Second QUARTER.docx
G10_Daily Lesson Log_Second QUARTER.docxG10_Daily Lesson Log_Second QUARTER.docx
G10_Daily Lesson Log_Second QUARTER.docx
 
Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)Calculus 1 Lecture Notes (Functions and Their Graphs)
Calculus 1 Lecture Notes (Functions and Their Graphs)
 
Lar calc10 ch03_sec1
Lar calc10 ch03_sec1Lar calc10 ch03_sec1
Lar calc10 ch03_sec1
 

More from njit-ronbrown

Lecture 13 gram-schmidt inner product spaces - 6.4 6.7
Lecture 13   gram-schmidt  inner product spaces - 6.4 6.7Lecture 13   gram-schmidt  inner product spaces - 6.4 6.7
Lecture 13 gram-schmidt inner product spaces - 6.4 6.7
njit-ronbrown
 
Lecture 12 orhogonality - 6.1 6.2 6.3
Lecture 12   orhogonality - 6.1 6.2 6.3Lecture 12   orhogonality - 6.1 6.2 6.3
Lecture 12 orhogonality - 6.1 6.2 6.3
njit-ronbrown
 
Lecture 11 diagonalization & complex eigenvalues - 5-3 & 5-5
Lecture  11   diagonalization & complex eigenvalues -  5-3 & 5-5Lecture  11   diagonalization & complex eigenvalues -  5-3 & 5-5
Lecture 11 diagonalization & complex eigenvalues - 5-3 & 5-5
njit-ronbrown
 
Lecture 9 eigenvalues - 5-1 & 5-2
Lecture 9   eigenvalues -  5-1 & 5-2Lecture 9   eigenvalues -  5-1 & 5-2
Lecture 9 eigenvalues - 5-1 & 5-2
njit-ronbrown
 
Lecture 9 dim & rank - 4-5 & 4-6
Lecture 9   dim & rank -  4-5 & 4-6Lecture 9   dim & rank -  4-5 & 4-6
Lecture 9 dim & rank - 4-5 & 4-6
njit-ronbrown
 
Lecture 8 nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
Lecture 8   nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6Lecture 8   nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
Lecture 8 nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
njit-ronbrown
 
Lecture 7 determinants cramers spaces - section 3-2 3-3 and 4-1
Lecture 7   determinants cramers spaces - section 3-2 3-3 and 4-1Lecture 7   determinants cramers spaces - section 3-2 3-3 and 4-1
Lecture 7 determinants cramers spaces - section 3-2 3-3 and 4-1
njit-ronbrown
 
Lecture 6 lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
Lecture 6   lu factorization & determinants - section 2-5 2-7 3-1 and 3-2Lecture 6   lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
Lecture 6 lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
njit-ronbrown
 
Lecture 5 inverse of matrices - section 2-2 and 2-3
Lecture 5   inverse of matrices - section 2-2 and 2-3Lecture 5   inverse of matrices - section 2-2 and 2-3
Lecture 5 inverse of matrices - section 2-2 and 2-3
njit-ronbrown
 
Lecture 4 chapter 1 review section 2-1
Lecture 4   chapter 1 review section 2-1Lecture 4   chapter 1 review section 2-1
Lecture 4 chapter 1 review section 2-1
njit-ronbrown
 
Lecture 4 chapter 1 review section 2-1
Lecture 4   chapter 1 review section 2-1Lecture 4   chapter 1 review section 2-1
Lecture 4 chapter 1 review section 2-1njit-ronbrown
 
Lecture 3 section 1-7, 1-8 and 1-9
Lecture 3   section 1-7, 1-8 and 1-9Lecture 3   section 1-7, 1-8 and 1-9
Lecture 3 section 1-7, 1-8 and 1-9
njit-ronbrown
 
Lecture 02
Lecture 02Lecture 02
Lecture 02
njit-ronbrown
 
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row ReductionLecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
njit-ronbrown
 
Lecture 01 - Row Operations & Row Reduction
Lecture 01 - Row Operations & Row ReductionLecture 01 - Row Operations & Row Reduction
Lecture 01 - Row Operations & Row Reduction
njit-ronbrown
 
Lecture 20 fundamental theorem of calc - section 5.3
Lecture 20   fundamental theorem of calc - section 5.3Lecture 20   fundamental theorem of calc - section 5.3
Lecture 20 fundamental theorem of calc - section 5.3
njit-ronbrown
 
Lecture 18 antiderivatives - section 4.8
Lecture 18   antiderivatives - section 4.8Lecture 18   antiderivatives - section 4.8
Lecture 18 antiderivatives - section 4.8
njit-ronbrown
 
Lecture 17 optimization - section 4.6
Lecture 17   optimization - section 4.6Lecture 17   optimization - section 4.6
Lecture 17 optimization - section 4.6
njit-ronbrown
 
Lecture 16 graphing - section 4.3
Lecture 16   graphing - section 4.3Lecture 16   graphing - section 4.3
Lecture 16 graphing - section 4.3
njit-ronbrown
 
Lecture 15 max min - section 4.2
Lecture 15   max min - section 4.2Lecture 15   max min - section 4.2
Lecture 15 max min - section 4.2
njit-ronbrown
 

More from njit-ronbrown (20)

Lecture 13 gram-schmidt inner product spaces - 6.4 6.7
Lecture 13   gram-schmidt  inner product spaces - 6.4 6.7Lecture 13   gram-schmidt  inner product spaces - 6.4 6.7
Lecture 13 gram-schmidt inner product spaces - 6.4 6.7
 
Lecture 12 orhogonality - 6.1 6.2 6.3
Lecture 12   orhogonality - 6.1 6.2 6.3Lecture 12   orhogonality - 6.1 6.2 6.3
Lecture 12 orhogonality - 6.1 6.2 6.3
 
Lecture 11 diagonalization & complex eigenvalues - 5-3 & 5-5
Lecture  11   diagonalization & complex eigenvalues -  5-3 & 5-5Lecture  11   diagonalization & complex eigenvalues -  5-3 & 5-5
Lecture 11 diagonalization & complex eigenvalues - 5-3 & 5-5
 
Lecture 9 eigenvalues - 5-1 & 5-2
Lecture 9   eigenvalues -  5-1 & 5-2Lecture 9   eigenvalues -  5-1 & 5-2
Lecture 9 eigenvalues - 5-1 & 5-2
 
Lecture 9 dim & rank - 4-5 & 4-6
Lecture 9   dim & rank -  4-5 & 4-6Lecture 9   dim & rank -  4-5 & 4-6
Lecture 9 dim & rank - 4-5 & 4-6
 
Lecture 8 nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
Lecture 8   nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6Lecture 8   nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
Lecture 8 nul col bases dim & rank - section 4-2, 4-3, 4-5 & 4-6
 
Lecture 7 determinants cramers spaces - section 3-2 3-3 and 4-1
Lecture 7   determinants cramers spaces - section 3-2 3-3 and 4-1Lecture 7   determinants cramers spaces - section 3-2 3-3 and 4-1
Lecture 7 determinants cramers spaces - section 3-2 3-3 and 4-1
 
Lecture 6 lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
Lecture 6   lu factorization & determinants - section 2-5 2-7 3-1 and 3-2Lecture 6   lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
Lecture 6 lu factorization & determinants - section 2-5 2-7 3-1 and 3-2
 
Lecture 5 inverse of matrices - section 2-2 and 2-3
Lecture 5   inverse of matrices - section 2-2 and 2-3Lecture 5   inverse of matrices - section 2-2 and 2-3
Lecture 5 inverse of matrices - section 2-2 and 2-3
 
Lecture 4 chapter 1 review section 2-1
Lecture 4   chapter 1 review section 2-1Lecture 4   chapter 1 review section 2-1
Lecture 4 chapter 1 review section 2-1
 
Lecture 4 chapter 1 review section 2-1
Lecture 4   chapter 1 review section 2-1Lecture 4   chapter 1 review section 2-1
Lecture 4 chapter 1 review section 2-1
 
Lecture 3 section 1-7, 1-8 and 1-9
Lecture 3   section 1-7, 1-8 and 1-9Lecture 3   section 1-7, 1-8 and 1-9
Lecture 3 section 1-7, 1-8 and 1-9
 
Lecture 02
Lecture 02Lecture 02
Lecture 02
 
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row ReductionLecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
Lecture 01 - Section 1.1 & 1.2 Row Operations & Row Reduction
 
Lecture 01 - Row Operations & Row Reduction
Lecture 01 - Row Operations & Row ReductionLecture 01 - Row Operations & Row Reduction
Lecture 01 - Row Operations & Row Reduction
 
Lecture 20 fundamental theorem of calc - section 5.3
Lecture 20   fundamental theorem of calc - section 5.3Lecture 20   fundamental theorem of calc - section 5.3
Lecture 20 fundamental theorem of calc - section 5.3
 
Lecture 18 antiderivatives - section 4.8
Lecture 18   antiderivatives - section 4.8Lecture 18   antiderivatives - section 4.8
Lecture 18 antiderivatives - section 4.8
 
Lecture 17 optimization - section 4.6
Lecture 17   optimization - section 4.6Lecture 17   optimization - section 4.6
Lecture 17 optimization - section 4.6
 
Lecture 16 graphing - section 4.3
Lecture 16   graphing - section 4.3Lecture 16   graphing - section 4.3
Lecture 16 graphing - section 4.3
 
Lecture 15 max min - section 4.2
Lecture 15   max min - section 4.2Lecture 15   max min - section 4.2
Lecture 15 max min - section 4.2
 

Recently uploaded

JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 

Recently uploaded (20)

JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 

Lecture 8 section 3.2 polynomial equations

  • 2. 2© 2010 Pearson Education, Inc. All rights reserved Definitions A polynomial function of degree n is a function of the form where n is a nonnegative integer and the coefficients an, an–1, …, a2, a1, a0 are real numbers with an ≠ 0. f x( ) = an xn + an-1xn-1 + ...+ a2 x2 + a1x + a0 ,
  • 3. 3© 2010 Pearson Education, Inc. All rights reserved Definitions A constant function f (x) = a, (a ≠ 0) which may be written as f (x) = ax0, is a polynomial of degree 0. The term anxn is called the leading term. The number an is called the leading coefficient, and a0 is the constant term.
  • 4. 4© 2010 Pearson Education, Inc. All rights reserved Definitions Degree Name 0 Zero function: f(x)=0 1 linear 2 quadratic 3 cubic 4 quartic 5 quintic
  • 5. 5© 2010 Pearson Education, Inc. All rights reserved COMMON PROPERTIES OF POLYNOMIAL FUNCTIONS 1. The domain of a polynomial function is the set of all real numbers.
  • 6. 6© 2010 Pearson Education, Inc. All rights reserved 2. The graph of a polynomial function is a continuous curve.
  • 7. 7© 2010 Pearson Education, Inc. All rights reserved 3. The graph of a polynomial function is a smooth curve.
  • 8. 8© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 1 Polynomial Functions State which functions are polynomial functions. For each polynomial function, find its degree, the leading term, and the leading coefficient. f (x) = 5x4 – 2x + 7 Solution
  • 9. 9© 2010 Pearson Education, Inc. All rights reserved END BEHAVIOR OF POLYNOMIAL FUNCTIONS Case 1 n Even a > 0 The graph rises to the left and right, similar to y = x2.
  • 10. 10© 2010 Pearson Education, Inc. All rights reserved END BEHAVIOR OF POLYNOMIAL FUNCTIONS Case 2 n Even a < 0 The graph falls to the left and right, similar to y = –x2.
  • 11. 11© 2010 Pearson Education, Inc. All rights reserved END BEHAVIOR OF POLYNOMIAL FUNCTIONS Case 3 n Odd a > 0 The graph rises to the right and falls to the left, similar to y = x3.
  • 12. 12© 2010 Pearson Education, Inc. All rights reserved END BEHAVIOR OF POLYNOMIAL FUNCTIONS Case 4 n Odd a < 0 The graph rises to the left and falls to the right, similar to y = –x3.
  • 13. 13© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 2 Understanding the End Behavior of a Polynomial Function Let function of degree 3. Show that P x( ) = 2x3 + 5x2 - 7x +11 be a polynomial   3 2P x x when |x| is very large. Solution P x( ) = x3 2 + 5 x - 7 x2 + 11 x3 æ èç ö ø÷ When |x| is very large 5 x , 7 x2 and 11 x3 are close to 0. P x( ) » x3 2 + 0 - 0 + 0( ) » 2x3 .Therefore,
  • 14. 14© 2010 Pearson Education, Inc. All rights reserved THE LEADING-TERM TEST Its leading term is anxn. The behavior of the graph of f as x → ∞ or as x → –∞ is similar to one of the following four graphs and is described as shown in each case. The middle portion of each graph, indicated by the dashed lines, is not determined by this test. Let   1 1 1 0... 0n n nn nf x a x ax ax aa        be a polynomial function.
  • 15. 15© 2010 Pearson Education, Inc. All rights reserved Case 1 n Even an > 0 THE LEADING-TERM TEST
  • 16. 16© 2010 Pearson Education, Inc. All rights reserved Case 2 n Even an < 0 THE LEADING-TERM TEST
  • 17. 17© 2010 Pearson Education, Inc. All rights reserved Case 3 n Odd an > 0 THE LEADING-TERM TEST
  • 18. 18© 2010 Pearson Education, Inc. All rights reserved Case 4 n Odd an < 0 THE LEADING-TERM TEST
  • 19. 19© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 3 Using the Leading-Term Test Use the leading-term test to determine the end behavior of the graph of y = f x( ) = -2x3 + 3x2 + 4. Solution Here n = 3 (odd) and an = –2 < 0. Thus, Case 4 applies. The graph of f (x) rises to the left and falls to the right. This behavior is described as y ∞ as x –∞ and y –∞ as x ∞.
  • 20. 20© 2010 Pearson Education, Inc. All rights reserved REAL ZEROS OF POLYNOMIAL FUNCTIONS 1. c is a zero of f . 2. c is a solution (or root) of the equation f (x) = 0. 3. c is an x-intercept of the graph of f . The point (c, 0) is on the graph of f . If f is a polynomial function and c is a real number, then the following statements are equivalent.
  • 21. 21© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 4 Finding the Zeros of a Polynomial Function Find all zeros of each polynomial function.     3 2 3 2 a. 2 2 b. 2 2 f x x x x g x x x x         Solution Factor f (x) and then solve f (x) = 0.
  • 22. 22© 2010 Pearson Education, Inc. All rights reserved REAL ZEROS OF POLYNOMIAL FUNCTIONS A polynomial function of degree n with real coefficients has, at most, n real zeros.
  • 23. 23© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 6 Finding the Number of Real Zeros Find the number of distinct real zeros of the following polynomial functions of degree 3. Solution                  22 a. 1 2 3 b. 1 1 c. 3 1 f x x x x g x x x h x x x          
  • 24. 24© 2010 Pearson Education, Inc. All rights reserved MULTIPLICITY OF A ZERO If c is a zero of a polynomial function f (x) and the corresponding factor (x – c) occurs exactly m times when f (x) is factored, then c is called a zero of multiplicity m. m Behavior of f at x=c Odd Crosses Even touches
  • 25. 25© 2010 Pearson Education, Inc. All rights reserved ODD MULTIPLICITY OF A ZERO
  • 26. 26© 2010 Pearson Education, Inc. All rights reserved EVEN MULTIPLICITY OF A ZERO
  • 27. 27© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 7 Finding the Zeros and Their Multiplicity Find the zeros of the polynomial function f (x) = x2(x + 1)(x – 2), and give the multiplicity of each zero. Solution
  • 28. 28© 2010 Pearson Education, Inc. All rights reserved TURNING POINTS A local (or relative) maximum value of f is higher than any nearby point on the graph. A local (or relative) minimum value of f is lower than any nearby point on the graph. The graph points corresponding to the local maximum and local minimum values are called turning points. At each turning point the graph changes from increasing to decreasing or vice versa.
  • 29. 29© 2010 Pearson Education, Inc. All rights reserved TURNING POINTS The graph of f has turning points at (–1, 12) and at (2, –15). f x( ) = 2x3 - 3x2 -12x + 5
  • 30. 30© 2010 Pearson Education, Inc. All rights reserved NUMBER OF TURNING POINTS If f (x) is a polynomial of degree n, then the graph of f has, at most, (n – 1) turning points.
  • 31. 31© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 8 Finding the Number of Turning Points Use a graphing calculator and the window –10  x  10; –30  y  30 to find the number of turning points of the graph of each polynomial.       4 2 3 2 3 2 a. 7 18 b. 12 c. 3 3 1 f x x x g x x x x h x x x x          
  • 32. 32© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 8 Finding the Number of Turning Points Solution f has three total turning points; two local minimum and one local maximum. a. f x( ) = x4 - 7x2 -18
  • 33. 33© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 8 Finding the Number of Turning Points Solution continued g has two total turning points; one local maximum and one local minimum. b. g x( ) = x3 + x2 -12x
  • 34. 34© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 8 Finding the Number of Turning Points Solution continued h has no turning points, it is increasing on the interval (–∞, ∞). c. h x( ) = x3 - 3x2 + 3x -1
  • 35. 35© 2010 Pearson Education, Inc. All rights reserved GRAPHING A POLYNOMIAL FUNCTION Step 1 Determine the end behavior. Apply the leading-term test. Step 2 Find the zeros of the polynomial function. Set f (x) = 0 and solve. The zeros give the x-intercepts. Step 3 Find the y-intercept by computing f (0).
  • 36. 36© 2010 Pearson Education, Inc. All rights reserved Step 4 Draw the graph. Use the multiplicities of each zero to decide whether the graph crosses the x-axis. Use the fact that the number of turning points is less than the degree of the polynomial to check whether the graph is drawn correctly.
  • 37. 37© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 9 Graphing a Polynomial Function Sketch the graph of   3 2 4 4 16.f x x x x     Solution Step 1 Determine end behavior. Degree = 3 Leading coefficient = –1 End behavior shown in sketch.
  • 38. 38© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 9 Graphing a Polynomial Function Solution continued Step 2 Find the zeros by setting f (x) = 0. Each zero has multiplicity 1, the graph crosses the x-axis at each zero.
  • 39. 39© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 9 Graphing a Polynomial Function Solution continued Step 3 Find the y-intercept by computing f (0). The y-intercept is f (0) = 16. The graph passes through (0, 16).
  • 40. 40© 2010 Pearson Education, Inc. All rights reserved EXAMPLE 9 Graphing a Polynomial Function Solution continued Step 4 Draw the graph. The number of turning points is 2, which is less than 3, the degree of f.