f'(x) = x 4 (2)(x - 6)(1) + (x - 6) 2 (4x 3 ) f'(x) = (x - 2) -1/3 = x 2 ; domain of f: (-, ) f'(x) = (x2 + 1)4x! 2x 2 (2x) 4x f'(x) =

Similar documents
4.3 - How Derivatives Affect the Shape of a Graph

Graphing and Optimization

Circle your answer choice on the exam AND fill in the answer sheet below with the letter of the answer that you believe is the correct answer.

MA Lesson 25 Notes Section 5.3 (2 nd half of textbook)

Section 3.4: Concavity and the second Derivative Test. Find any points of inflection of the graph of a function.

Maximum and Minimum Values

If C(x) is the total cost (in dollars) of producing x items of a product, then

Math Honors Calculus I Final Examination, Fall Semester, 2013

TUTORIAL 4: APPLICATIONS - INCREASING / DECREASING FUNCTIONS, OPTIMIZATION PROBLEMS

To do this which theorem did you use? b) Determine which points are inflections and mark the concavity on a number line for f.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 8) Decreasing

?

Overview. Graphing More Accurately First and second derivatives Critical points Extrema

NOTES 5: APPLICATIONS OF DIFFERENTIATION

MATH 1325 Business Calculus Guided Notes

Math 180, Exam 2, Spring 2013 Problem 1 Solution

Section Derivatives and Rates of Change

Chiang/Wainwright: Fundamental Methods of Mathematical Economics

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Math 1325 Final Exam Review. (Set it up, but do not simplify) lim

Chapter 6 Overview: Applications of Derivatives

5.5 Worksheet - Linearization

Math 180, Final Exam, Spring 2008 Problem 1 Solution. 1. For each of the following limits, determine whether the limit exists and, if so, evaluate it.

HW 5 Date: Name Use Scantron 882E to transfer the answers. Graph. 1) y = 5x

AP Exam Practice Questions for Chapter 3

Work the following on notebook paper. You may use your calculator to find

( ) = f(x) 6 INTEGRATION. Things to remember: n + 1 EXERCISE A function F is an ANTIDERIVATIVE of f if F'(x) = f(x).

CURVE SKETCHING. Let's take an arbitrary function like the one whose graph is given below:

Name: NOTES 4: APPLICATIONS OF DIFFERENTIATION. Date: Period: Mrs. Nguyen s Initial: WARM UP:

x π. Determine all open interval(s) on which f is decreasing

3 Additional Applications of the Derivative

Asymptotes are additional pieces of information essential for curve sketching.

Date Period For each problem, find all points of absolute minima and maxima on the given interval.

It s Your Turn Problems I. Functions, Graphs, and Limits 1. Here s the graph of the function f on the interval [ 4,4]

Calculus 140, section 4.7 Concavity and Inflection Points notes by Tim Pilachowski

Abe Mirza Graphing f ( x )

Calculus 1st Semester Final Review

Things to remember: x n a 1. x + a 0. x n + a n-1. P(x) = a n. Therefore, lim g(x) = 1. EXERCISE 3-2

Section 5-1 First Derivatives and Graphs

Section 13.3 Concavity and Curve Sketching. Dr. Abdulla Eid. College of Science. MATHS 104: Mathematics for Business II

The questions listed below are drawn from midterm and final exams from the last few years at OSU. As the text book and structure of the class have

Calculus 221 worksheet

Section 4.3 Concavity and Curve Sketching 1.5 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I

3.1 ANALYSIS OF FUNCTIONS I INCREASE, DECREASE, AND CONCAVITY

Example 1. What are the critical points of f x 1 x x, 0 x? The maximal domain of f is 0 x and we find that

UNIT 2 QUADRATIC FUNCTIONS AND MODELING Lesson 2: Interpreting Quadratic Functions Instruction

(d by dx notation aka Leibniz notation)

Math 2414 Activity 1 (Due by end of class July 23) Precalculus Problems: 3,0 and are tangent to the parabola axis. Find the other line.

+ 2 on the interval [-1,3]

The coordinates of the vertex of the corresponding parabola are p, q. If a > 0, the parabola opens upward. If a < 0, the parabola opens downward.

The Detective s Hat Function

Solutions Exam 4 (Applications of Differentiation) 1. a. Applying the Quotient Rule we compute the derivative function of f as follows:

Section 4.1. Math 150 HW 4.1 Solutions C. Panza

PACKET Unit 4 Honors ICM Functions and Limits 1

Maximum and Minimum Values - 3.3

Solutions to Math 41 Final Exam December 9, 2013

236 Chapter 4 Applications of Derivatives

Part I Analysis in Economics

Chapter Four. Chapter Four

AP Calculus Prep Session Handout. Integral Defined Functions

MA 123 Calculus I Midterm II Practice Exam Answer Key

Week #6 - Taylor Series, Derivatives and Graphs Section 4.1

4.3 How derivatives affect the shape of a graph. The first derivative test and the second derivative test.

So, t = 1 is a point of inflection of s(). Use s () t to find the velocity at t = Because 0, use 144.

Math 2414 Activity 1 (Due by end of class Jan. 26) Precalculus Problems: 3,0 and are tangent to the parabola axis. Find the other line.

term from the numerator yields 2

CHAPTER 3 Applications of Differentiation

Lesson Goals. Unit 2 Functions Analyzing Graphs of Functions (Unit 2.2) Graph of a Function. Lesson Goals

5.6 Asymptotes; Checking Behavior at Infinity

Increasing and Decreasing Functions and the First Derivative Test

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Math 1000 Final Exam Review Solutions. (x + 3)(x 2) = lim. = lim x 2 = 3 2 = 5. (x + 1) 1 x( x ) = lim. = lim. f f(1 + h) f(1) (1) = lim

Math 206 Practice Test 3

(i) find the points where f(x) is discontinuous, and classify each point of discontinuity.

lim 2 x lim lim sin 3 (9) l)

Section 3.3 Limits Involving Infinity - Asymptotes

Find the following limits. For each one, if it does not exist, tell why not. Show all necessary work.

Technical Calculus I Homework. Instructions

Chapter 3 - The Concept of Differentiation

Math 1500 Fall 2010 Final Exam Review Solutions

MAT 122 Homework 7 Solutions

( ) 7 ( 5x 5 + 3) 9 b) y = x x

CHAPTER 3 Applications of Differentiation

Math 115 Second Midterm November 12, 2018

ch 3 applications of differentiation notebook.notebook January 17, 2018 Extrema on an Interval

Final Exam Study Guide

Quick Review 4.1 (For help, go to Sections 1.2, 2.1, 3.5, and 3.6.)

MORE CURVE SKETCHING

( ) 9 b) y = x x c) y = (sin x) 7 x d) y = ( x ) cos x

1998 AP Calculus AB: Section I, Part A

Math 111 Calculus I - SECTIONS A and B SAMPLE FINAL EXAMINATION Thursday, May 3rd, POSSIBLE POINTS

4.1 & 4.2 Student Notes Using the First and Second Derivatives. for all x in D, where D is the domain of f. The number f()

Mathematics 1161: Midterm Exam 2 Study Guide

5. Find the slope intercept equation of the line parallel to y = 3x + 1 through the point (4, 5).

Suppose that f is continuous on [a, b] and differentiable on (a, b). Then

Math 75B Practice Problems for Midterm II Solutions Ch. 16, 17, 12 (E), , 2.8 (S)

4.3 Mean-Value Theorem and Monotonicity

4.3 How Derivatives Aect the Shape of a Graph

APPLICATIONS OF DIFFERENTIATION

Math 108, Solution of Midterm Exam 3

Transcription:

85. f() = 4 ( - 6) 2 f'() = 4 (2)( - 6)(1) + ( - 6) 2 (4 3 ) = 2 3 ( - 6)[ + 2( - 6)] = 2 3 ( - 6)(3-12) = 6 3 ( - 4)( - 6) Thus, the critical values are = 0, = 4, and = 6. Now we construct the sign chart for f' ( = 0, = 4, = 6 are partition numbers). f'() - - - - 0 + + + + + + + + + 0 - - - - 0 + + + f'()!1!210(!) -1 0 1 4 5 6 7 1 90(+) f() Decreasing Increasing Decreasing Increasing 5!750(!) 7 + Therefore, f is increasing on (0, 4) and on (6, ), f is decreasing on (-, 0) and on (4, 6); f has a local maimum at = 4 and local minima at = 0 and = 6. 87. f() = 3( - 2) 2/3 + 4 f'() = 3 2 3 ( - 2) -1/3 = 2 ( - 2) 1/3 Critical values: f' is not defined at = 2. [Note: f(2) is defined, f(2) = 4.] f'() 0 for all. Thus, the critical value for f is = 2; = 2 is also a partition number for f'. f'() f() - - - - ND + + + + + + 0 1 2 3 Decreasing Increasing f'() 1!2(!) 3 2(+) Therefore, f is increasing on (2, ) and decreasing on (-, 2); f has a local minimum at = 2. 89. f() = 22 2 ; domain : (-, ) + 1 f'() = (2 + 1)4! 2 2 (2) 4 ( 2 + 1) 2 = ( 2 + 1) 2 Critical values: 4 f'() = ( 2 + 1) 2 = 0 4 = 0 = 0 Thus, the critical value is = 0. 228 CHAPTER 5 GRAPHING AND OPTIMIZATION

The sign chart for f' is: - - - - 0 + + + + f'() f() -1 0 1 Decreasing Increasing minimum f'()!1!1(!) 1 1(+) Therefore, f is increasing on (0, ); f is decreasing on (-, 0); f(0) = 0 is a local minimum. 91. Let f() = 3 + k (A) k > 0 f'() = 3 2 + k > 0 for all. There are no critical values and no local etrema; f is increasing on (-, ). (B) k < 0 f'() = 3 2 + k;3 2 + k = 0 2 = - k 3 = ± " k 3 Critical values: = - " k 3, = " k 3 ; f'() + + + + + 0 - - - - - - - - 0 + + + + + - - k 3 0 - k 3 $ f is increasing on "#, " " k ' $ & ) and on & " k % 3 ( % 3, # ' ); f is decreasing ( # on " " k 3, " k & % (; f has a local maimum at = - " k and a local $ 3 ' 3 minimum at = " k 3. (C) k = 0 The only critical value is = 0. There are no etrema, the function is increasing for all. 93. (A) The marginal profit function, P', is positive on (0, 600), zero at = 600, and negative on (600, 1,000). (B) P'() 0 500 1,000 EXERCISE 5-1 229

95. (A) The price function, B(t), decreases for the first 15 months to a local minimum, increases for the net 40 months to a local maimum, and then decreases for the remaining 15 months. (B) B(t) 10 30 50 70 t 97. C() = 2 20 (A) C () = C() + 20 + 320 = 20 (B) Critical values: C '() = 1 20-320 2 = 0 C'() C() + 20 + 320 2-320(20) = 0 2-6400 = 0 ( - 80)( + 80) = 0 Thus, the critical value of C on the interval (0, 150) is = 80. Net, construct the sign chart for C ' ( = 80 is a partition number for C '). - - - - - - - 0 + + + + C "() 40 # 3 20 (#) 0 20 40 60 80 100 Decreasing Increasing 100 $ 1 60 (+) Therefore, C is increasing for 80 < < 150 and decreasing for 0 < < 80; C has a local minimum at = 80. 99. P() = R() - C() P'() = R'() - C'() Thus, if R'() > C'() on the interval (a, b), then P'() = R'() - C'() > 0 on this interval and P is increasing. 101. C(t) = 0.28t t 2 + 4, 0 < t < 24 C'(t) = (t2 + 4)(0.28)! 0.28t(2t) (t 2 + 4) 2 = 0.28(4! t2 ) (t 2 + 4) 2 Critical values: C' is continuous for all t on the interval (0, 24). C'(t) = 0.28(4 " t2 ) (t 2 + 4) 2 = 0 4 - t 2 = 0 (2 - t)(2 + t) = 0 Thus, the critical value of C on the interval (0, 24) is t = 2. 230 CHAPTER 5 GRAPHING AND OPTIMIZATION

The sign chart for C' (t = 2 is a partition number) is: + + + 0 - - - C'(t) t t C'(t) C(t) 0 1 2 3 1 (+) 3 (!) Increasing Decreasing maimum Therefore, C is increasing on (0, 2) and decreasing on (2, 24); C(2) = 0.07 is a local maimum. 103. P(t) = 8.4t t 2 + 49 + 0.1, 0 < t < 24 P'(t) = (t2 + 49)(8.4) " 8.4t(2t) (t 2 + 49) 2 = 8.4(49 " t2 ) (t 2 + 49) 2 Critical values: P is continuous for all t on the interval (0, 24): P'(t) = 8.4(49 " t2 ) (t 2 + 49) 2 = 0 49 - t 2 = 0 (7 - t)(7 + t) = 0 Thus, the critical value of P on (0, 24) is t = 7. The sign chart for P' (t = 7 is a partition number for P') is: P'(t) + + + + + + + + + + 0 - - - - - P'(t) t 6 + 8! P(t) 0 5 6 7 8 Increasing Decreasing Therefore, P is increasing for 0 < t < 7 and decreasing for 7 < t < 24; P has a local maimum at t = 7. EXERCISE 5-2 Things to remember: 1. CONCAVITY The graph of a function f is CONCAVE UPWARD on the interval (a, b) if f'() is increasing on (a, b) and is CONCAVE DOWNWARD on the interval (a, b) if f'() is decreasing on (a, b). 2. SECOND DERIVATIVE For y = f(), the SECOND DERIVATIVE, provided it eists, is: f"() = d d f'() Other notations for f"() are: d 2 y d 2 and y". EXERCISE 5-2 231

3. SUMMARY For the interval (a, b): f () f () of y = f() Eample + Increasing upward - Decreasing downward 4. INFLECTION POINT An INFLECTION POINT is a point on the graph of a function where the concavity changes (from upward to downward, or from downward to upward). If f is continuous on (a, b) and has an inflection point at = c, then either f (c) = 0 or f (c) does not eist. 5. GRAPHING STRATEGY Step 1. Analyze f(). Find the domain and the intercepts. The intercepts are the solutions to f() = 0 and the y intercept is f(0). Step 2. Analyze f'(). Find the partition numbers '() and the critical values of f(). Construct a sign chart for f'(), determine the intervals where f is increasing and decreasing, and find the local maima and minima. Step 3. Analyze f"(). Find the partition numbers "(). Construct a sign chart for f"(), determine the intervals where the graph is concave upward and concave downward, and find the inflection points. Step 4. Sketch the graph. Locate intercepts, local maima and minima, and inflection points. Sketch in what you know from steps 1 3. Plot additional points as needed and complete the sketch. 1. (A) The graph is concave upward on (a, c), (c, d), and (e, g). (B) The graph is concave downward on (d, e) and (g, h). (C) f"() < 0 on (d, e) and (g, h). (D) f"() > 0 on (a, c), (c, d), and (e, g). (E) f'() is increasing on (a, c), (c, d), and (e, g). (F) f'() is decreasing on (d, e) and (g, h). (G) Inflection points occur at = d, = e, and = g. (H) The local etrema occur at = d, = e, and = g. 3. f'() > 0, f"() > 0; (C) 5. f'() < 0, f"() > 0; (D) 232 CHAPTER 5 GRAPHING AND OPTIMIZATION

7. f() = 2 3-4 2 + 5-6 f'() = 6 2-8 + 5 f"() = 12-8 11. y = 2-18 1/2 dy = 2-9-1/2 d d 2 y d 2 = 2 + 9 2-3/2 15. f()= e -2 f () = e -2 (-2) = -2e -2 f () = -2e -2 (-2) 2e -2 = 2(2 2 1)e -2 17. y = ln 2 2 " 1 % $ ' ( ln (2) # & y = y = 4 3 # " 2 & % ( " (1 " 2 ln )3 2 $ ' 6 19. f() = 4 + 6 2 13. y = ( 2 + 9) 4 = 9. h() = 2-1 - 3-2 h'() = -2-2 + 6-3 h"() = 4-3 - 18-4 y' = 4( 2 + 9) 3 (2) = 8( 2 + 9) 3 y" = 24( 2 + 9) 2 (2) + 8( 2 + 9) 3 = 48 2 ( 2 + 9) 2 + 8( 2 + 9) 3 = 8( 2 + 9) 2 (7 2 + 9) " 2 ln 4 = 1 " 2 ln 3 = "52 + 6 2 ln 6 = 6 ln " 5 4 f'() = 4 3 + 12 f"() = 12 2 + 12 12 > 0 The graph is concave upward for all ; there are no inflection points. 21. f() = 3-4 2 + 5-2 f'() = 3 2-8 + 5 f"() = 6-8 f"() = 0: 6-8 = 0 = 4 " 3 Sign chart for f" partition number is 4 % $ ': # 3& f"() - - - - - 0 + + + + + 0 1 2 4 3 f"() 0!8(!) 2 4(+) $ Therefore, the graph is concave downward on "#, 4 ' & ) and concave % 3( # upward on % 4 $ 3, " & (; there is an inflection point at = 4 ' 3. EXERCISE 5-2 233

23. f() = - 4 + 12 3-12 + 24 f'() = -4 3 + 36 2-12 f"() = -12 2 + 72 f"() = 0: -12 2 + 72 = 0-12( - 6) = 0 = 0, 6 Sign chart for f" (partition numbers 0, 6): f"() - - - 0 + + + + + 0 - - - -1 0 1 6 7 f"()!1!84(!) 1 60(+) 7!84(!) Therefore, the graph is concave downward on (-, 0) and (6, ); concave upward on (0, 6); there are inflection points at = 0 and = 6. 25. f() = ln( 2 2 + 10) (Note: ( 2 2 + 10 = ( 1) 2 + 9 > 0 for all ) 1 f () = 2 " 2 + 10 (2 2) = 2 " 2 2 " 2 + 10 f () = (2 " 2 + 10)(2) " (2 " 2)(2 " 2) ( 2 " 2 + 10) 2 = 22 " 4 + 20 " [4 2 " 8 + 4] ( 2 " 2 + 10) 2 "2( " 4)( + 2) f () = ( 2 " 2 + 10) 2 f () = 0: -2( 4)( + 2) = 0 = 4, = -2 Sign chart for f" (partition numbers 4, -2): f () - - + + + + + + + + - - - -2 0 4 = "22 + 4 + 16 ( 2 " 2 + 10) 2 = "2(2 " 2 " 8) ( 2 " 2 + 10) 2 ; f"() "3 " 14 (") (25) 2 0 16 100 (+) 5 " 54 (") (45) 2 The graph is concave downward on (-, -2) and (4, ); the graph is concave upward on (-2, 4); there are inflection points at = -2 and = 4. 234 CHAPTER 5 GRAPHING AND OPTIMIZATION

27. f() = 8e e 2 f () = 8e 2e 2 f () = 8e 4e 2 f () = 0: 8e 4e 2 = 0 4e (2 e ) = 0 e = 2 = ln 2 Sign chart for f (partition number ln 2 0.69): f () + + + + - - - - 0 0.69 1 f"() 0 4(+) 1 8e " 4e 2 (") The graph is concave upward on (-, ln 2) and concave downward on (ln 2, ); there is an inflection point at = ln 2. 29. f"() - - - 0 + + + + 0 - - - -1 2 Inflection point Inflection point f'() + + + + 0 - - - - - 0 - - - - -2 2 f() Increasing Decreasing Decreasing maimum Neither maimum nor minimum Using this information together with the points (-4, 0), (-2, 3), (-1, 1.5), (0, 0), (2, -1), (4, -3) on the graph, we have f() 3-4 0 4-3 EXERCISE 5-2 235

31. f"() + + + + ND - - - - 0 + + + + 0 2 Point of Inflection Point of Inflection f'() + + + + + ND ++ + 0 -- - - - - 0 ++ + + f() Increasing Incr. 0 1 4 maimum Decreasing Increasing minimum f() 2 Using this information together with the points (-3, -4), (0, 0), (1, 2), (2, 1), (4, -1), (5, 0) on the graph, we have -3 0 5-4 33. f"() - - - - - 0 + + + + + 0 1 2 f'() + + + 0 - - - - - 0 + + + f() Increasing 0 1 2 maimum Decreasing 0 1 2 f() 2 0-2 minimum Increasing f() 5 5 5 5 236 CHAPTER 5 GRAPHING AND OPTIMIZATION