Linearization and Extreme Values of Functions

Similar documents
Math 141: Section 4.1 Extreme Values of Functions - Notes

Applications of Differentiation

Maximum and Minimum Values (4.2)

Test 3 Review. y f(a) = f (a)(x a) y = f (a)(x a) + f(a) L(x) = f (a)(x a) + f(a)

Math 1431 Final Exam Review

2.8 Linear Approximation and Differentials

Chapter 2 Differentiation. 2.1 Tangent Lines and Their Slopes. Calculus: A Complete Course, 8e Chapter 2: Differentiation

The Mean Value Theorem and the Extended Mean Value Theorem

defines the. The approximation f(x) L(x) is the. The point x = a is the of the approximation.

Section 4.2 The Mean Value Theorem

3.8 Exponential Growth and Decay

2.8 Linear Approximations and Differentials

Summer Review Packet (Limits & Derivatives) 1. Answer the following questions using the graph of ƒ(x) given below.

Section 3.7. Rolle s Theorem and the Mean Value Theorem

Continuity. MATH 161 Calculus I. J. Robert Buchanan. Fall Department of Mathematics

Section 1.4 Tangents and Velocity

Mean Value Theorem. Increasing Functions Extreme Values of Functions Rolle s Theorem Mean Value Theorem FAQ. Index

Workbook for Calculus I

Calculus The Mean Value Theorem October 22, 2018

+ 1 for x > 2 (B) (E) (B) 2. (C) 1 (D) 2 (E) Nonexistent

Section 4.2: The Mean Value Theorem

MLC Practice Final Exam

Definitions & Theorems

The Mean Value Theorem Rolle s Theorem

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

1 Lecture 25: Extreme values

Announcements. Topics: Homework: - sections , 6.1 (extreme values) * Read these sections and study solved examples in your textbook!

Math 131. Rolle s and Mean Value Theorems Larson Section 3.2

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

Math Essentials of Calculus by James Stewart Prepared by Jason Gaddis

MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

Calculus I Homework: Linear Approximation and Differentials Page 1

High School Math Contest

Final Exam. Math 3 December 7, 2010

Review for the Final Exam

Calculus I Homework: Linear Approximation and Differentials Page 1

Announcements. Topics: Homework:

AP CALCULUS (AB) Outline Chapter 4 Overview. 2) Recovering a function from its derivatives and a single point;

A = (a + 1) 2 = a 2 + 2a + 1

APPLICATIONS OF DERIVATIVES UNIT PROBLEM SETS

Calculus II Practice Test 1 Problems: , 6.5, Page 1 of 10

a Write down the coordinates of the point on the curve where t = 2. b Find the value of t at the point on the curve with coordinates ( 5 4, 8).

Without fully opening the exam, check that you have pages 1 through 11.

Calculus I Announcements

Fundamental Theorem of Calculus

Calculus 437 Semester 1 Review Chapters 1, 2, and 3 January 2016

Calculus 1 Math 151 Week 10 Rob Rahm. Theorem 1.1. Rolle s Theorem. Let f be a function that satisfies the following three hypotheses:

Exam 3 MATH Calculus I

Chapter 2 THE DERIVATIVE

5. Find the intercepts of the following equations. Also determine whether the equations are symmetric with respect to the y-axis or the origin.

MATH 409 Advanced Calculus I Lecture 16: Mean value theorem. Taylor s formula.

Find the slope of the curve at the given point P and an equation of the tangent line at P. 1) y = x2 + 11x - 15, P(1, -3)

UNIVERSITY OF HOUSTON HIGH SCHOOL MATHEMATICS CONTEST Spring 2018 Calculus Test

Absolute and Local Extrema

2. Which of the following is an equation of the line tangent to the graph of f(x) = x 4 + 2x 2 at the point where

Calculus I Practice Exam 2A

MATH 151, Fall 2015, Week 12, Section

Homework for Section 1.4, Continuity and One sided Limits. Study 1.4, # 1 21, 27, 31, 37 41, 45 53, 61, 69, 87, 91, 93. Class Notes: Prof. G.

Final Examination 201-NYA-05 May 18, 2018

Calculus I. 1. Limits and Continuity

MAXIMA AND MINIMA CHAPTER 7.1 INTRODUCTION 7.2 CONCEPT OF LOCAL MAXIMA AND LOCAL MINIMA

Sudoku Puzzle A.P. Exam (Part B) Questions are from the 1997 and 1998 A.P. Exams A Puzzle by David Pleacher

High School Math Contest

Continuity. To handle complicated functions, particularly those for which we have a reasonable formula or formulas, we need a more precise definition.

Sample Questions Exam II, FS2009 Paulette Saab Calculators are neither needed nor allowed.

(e) 2 (f) 2. (c) + (d). Limits at Infinity. 2.5) 9-14,25-34,41-43,46-47,56-57, (c) (d) 2

4. We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x

Taylor and Maclaurin Series. Approximating functions using Polynomials.

AP Calculus Multiple Choice Questions - Chapter 5

Copyright c 2007 Jason Underdown Some rights reserved. quadratic formula. absolute value. properties of absolute values

MATH 2053 Calculus I Review for the Final Exam

a k 0, then k + 1 = 2 lim 1 + 1

Name Date Period. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Math 223 Final. July 24, 2014

Taylor and Maclaurin Series

The Mean Value Theorem and its Applications

MAT137 Calculus! Lecture 10

Chapter 8: Taylor s theorem and L Hospital s rule

Math 122 Test 3. April 17, 2018

Taylor and Maclaurin Series. Approximating functions using Polynomials.

APPLICATION OF DERIVATIVES

Math 122 Test 3. April 15, 2014

Section 3.5: Implicit Differentiation

Math Fall 08 Final Exam Review

EASY PUTNAM PROBLEMS

+ 2 on the interval [-1,3]

Power Series. Part 1. J. Gonzalez-Zugasti, University of Massachusetts - Lowell

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

Quiz 4A Solutions. Math 150 (62493) Spring Name: Instructor: C. Panza

It was well known that each suspect told exactly one lie. Which suspect did it? a. Edward b. Derek c. Arnold d. Brian e. Charles. c. 1, d.

NATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 22, Time Allowed: 150 Minutes Maximum Marks: 30

ECM Calculus and Geometry. Revision Notes

Applications of Derivatives

Have a Safe and Happy Break

1 + x 2 d dx (sec 1 x) =

Calculus I Homework: Rates of Change in the Natural and Social Sciences Page 1

Math 2413 General Review for Calculus Last Updated 02/23/2016

Math 117: Honours Calculus I Fall, 2002 List of Theorems. a n k b k. k. Theorem 2.1 (Convergent Bounded) A convergent sequence is bounded.

Final Exam Review Exercise Set A, Math 1551, Fall 2017

Transcription:

Linearization and Extreme Values of Functions 3.10 Linearization and Differentials Linear or Tangent Line Approximations of function values Equation of tangent to y = f(x) at (a, f(a)): Tangent line approximation or Linear approximation of f at a The linearization of f at a: L(x) = 1

Example: Find the linearization of f(x) = ln x at a = 1. Use it to approximate ln(1.1) and ln(.9). Example: Find the linearization of f(x) = x + 2 at a = 2, and use it to approximate 3.96 and 4.03. 2

Let y = f(x) be a differentiable function. The differential dx is an independent variable (it can be any real number). The differential dy is a dependent variable defined by: Geometrically dy = or dy dx = Note: 1. y = 2. dy = 3

Example: Find dy if y = x 5 + 37x. Then find the value of dy if x = 1 and dx =.02 Example: Find dy if y = x x 2 + 6 Evaluate dy when x = 2 and dx =.04. 4

Example: Use differentials to approximate 3 7.8. Actual value: 5

True Estimated Absolute Error f = f(a + dx) f(a) df = f (a)dx Relative Error Percentage Error f f(a) f f(a) 100 df f(a) df f(a) 100 Example: Approximate the error in using 6 inches as the measurement of the side of a cube to calculate its volume if the measurement might be off by.04 inches. Relative error: Percentage error: 6

Example: The radius of a circle is measured with an error of at most 2%. What is the maximum corresponding percentage error in computing the circle s circumference and area? 7

4.1 Maximum and Minimum Values Definition A function f has an absolute maximum at x = c if f(c) f(x) for all x in the domain D of f(x). f(c) is the absolute maximum of f on D. Definition A function f has an absolute minimum at x = c if f(c) f(x) for all x in the domain D of f(x). f(c) is the absolute minimum of f on D. Together they are called extreme values. 8

Definition A function f has a local (relative) maximum at c if there is an open interval I containing c such that for all x in I we have f(x) f(c). Definition A function f has a local (relative) minimum at c if there is an open interval I containing c such that for all x in I we have f(x) f(c). Examples: 1. f(x) = sin x 2. f(x) = x 9

3. Find the relative and absolute extreme of f(x) = 3x 4 + 16x 3 + 18x 2, for 4 x 1 10

x 2 1 x 0 4. Let f(x) = 0 x = 0 Find the absolute maximum and minimum values of f(x) on each of the following intervals: [ 1, 1] ( 2, 1) [1, 2] 11

Extreme Value Theorem: If f is continuous on a closed interval [a, b], then f has an absolute maximum f(c) and an absolute minimum f(d), at some numbers c and d in [a, b]. 12

Fermat s Theorem: If f has a local extremum at x = c, and if f (c) exists, then f (c) = NOTE The converse of Fermat s Theorem is not true. If f (c) = 0 then f(c) is NOT necessarily a local extreme. 13

Definition A critical point of a function f is a number c in the domain of f such that f (c) = 0 or f (c) does not exist. If f has an extreme value at c, then c is a critical point Find all critical points of: 1. f(x) = 3 x + 1 2. g(x) = 1 x 3 3x 14

The Closed Interval Method To find the absolute maximum and minimum values of a continuous function f on a closed interval [a, b]: 1. Check that f is continuous 2. Find c such that f (c) = 0 3. Compute f(a), f(b), and f(c) for all c found in part 2 4. The largest of the values computed in part 3 is the absolute maximum and the smallest is the absolute minimum. Example: Find the maximum and minimum values of f(x) = 3x 4 + 16x 3 + 18x 2 on [ 4, 1] 15

Example: Find the absolute maximum and minimum values of f(x) = ln x x on the intervals: a) [1, e] b) [ 1 e, 1] c) [1, e 2 ] 16

[ Example: Find the absolute extreme of f(x) = tan x on π 3, π ]. 4 17

4.2 The Mean Value Theorem Motivation: A ball is thrown into the air from the ground. At some point the velocity is Rolle s Theorem Let f be a function that satisfies the following properties: 1. f is continuous on [a, b] 2. f is differentiable on (a, b) 3. f(a) = f(b) Then there is a number c in (a, b) such that f (c) = 0 Graphically: 18

Example: Show that f(x) = x 3 + 3x 2 has exactly one real root. 19

Mean Value Theorem Motivation: Suppose you drove 240 miles in 4 hours. What was you average velocity? At some point your velocity was Mean Value Theorem Let f be a function that satisfies the following conditions: 1. f is continuous on [a, b] 2. f is differentiable on (a, b) Then there is a number c in the interval (a, b) such that f(b) f(a) b a = f (c) Graphically 20

Example: Find the value of c implied by the Mean Value Theorem for f(x) = x 3 x 2 2x on [ 1, 1]. 21

Example: If f(1) = 2 and f (x) 3 for all 1 x 5, how small can f(5) possibly be? Example: Does there exist a function f such that f(3) = 5, f(0) = 1, and f(x) 1 for all x? Theorem: If f (x) = 0 for all x in an interval (a, b), then Corollary: If f (x) = g (x) for all x in an interval (a, b), then Homework Section 3.10 # 2, 3, 5, 11(a), 13(a), 15, 17, 23, 25, 27, 33, 34, 38. Section 4.1 # 1, 5, 17 31 (odd), 35, 41, 43, 49, 53, 59, 61. Section 4.2 # 5, 7, 11, 13, 15, 19, 25, 27. 22