MATH CALCULUS I 2.2: Differentiability, Graphs, and Higher Derivatives

Similar documents
MATH CALCULUS I 4.1: Area and Distance

AP Calculus Worksheet: Chapter 2 Review Part I

MATH CALCULUS I 1.5: Continuity

2.2 The Derivative Function

Math 108, Solution of Midterm Exam 3

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

MAT 1339-S14 Class 4

4.3 How Derivatives Aect the Shape of a Graph

Math 131. The Derivative and the Tangent Line Problem Larson Section 2.1

MATH 151 Engineering Mathematics I

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

1. Which one of the following points is a singular point of. f(x) = (x 1) 2/3? f(x) = 3x 3 4x 2 5x + 6? (C)

APPLICATIONS OF DIFFERENTIATION

Differentiation - Quick Review From Calculus

3.5: Issues in Curve Sketching

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

MA Lesson 12 Notes Section 3.4 of Calculus part of textbook

Definition of Tangent Line with Slope m: If f is defined on an open interval containing x, and if the limit y f( c x) f( c) f( c x) f( c) lim lim lim

MA 125 CALCULUS I FALL 2006 December 08, 2006 FINAL EXAM. Name (Print last name first):... Instructor:... Section:... PART I

Calculus 1st Semester Final Review

Answer Key. Calculus I Math 141 Fall 2003 Professor Ben Richert. Exam 2

MA 137 Calculus 1 with Life Science Applications Monotonicity and Concavity (Section 5.2) Extrema, Inflection Points, and Graphing (Section 5.

Homework 4 Solutions, 2/2/7

Example: When describing where a function is increasing, decreasing or constant we use the x- axis values.

Concepts of graphs of functions:

MATH CALCULUS I 2.1: Derivatives and Rates of Change

Pre-Test Developed by Sean Moroney and James Petersen UNDERSTANDING THE VELOCITY CURVE. The Velocity Curve in Calculus

IB Math SL Year 2 Name Date Lesson 10-4: Displacement, Velocity, Acceleration Revisited

Chapter 3: Straight Lines and Linear Functions

Math 1314 Lesson 7 Applications of the Derivative

Math 1314 Lesson 13: Analyzing Other Types of Functions

MA 125 CALCULUS I SPRING 2007 April 27, 2007 FINAL EXAM. Name (Print last name first):... Student ID Number (last four digits):...

Math 111 Calculus I Fall 2005 Practice Problems For Final December 5, 2005

2004 Free Responses Solutions. Form B

Chapter 3 Differentiation Rules

Unit IV Derivatives 20 Hours Finish by Christmas

Unit IV Derivatives 20 Hours Finish by Christmas

6-1 Slope. Objectives 1. find the slope of a line 2. use rate of change to solve problems

Calculus and Parametric Equations

2.2 The derivative as a Function

College Calculus Final Review

LIMITS AND DERIVATIVES

MATH The Derivative as a Function - Section 3.2. The derivative of f is the function. f x h f x. f x lim

MATH 115 QUIZ4-SAMPLE December 7, 2016

Slide 1. Slide 2. Slide 3 Remark is a new function derived from called derivative. 2.2 The derivative as a Function

Math 1323 Lesson 12 Analyzing functions. This lesson will cover analyzing polynomial functions using GeoGebra.

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

Basic Applications. Equations of Tangent Lines

In general, if we start with a function f and want to reverse the differentiation process, then we are finding an antiderivative of f.

Math 1314 Lesson 7 Applications of the Derivative. rate of change, instantaneous rate of change, velocity, => the derivative

Lecture 26: Section 5.3 Higher Derivatives and Concavity

APPLICATIONS OF DIFFERENTIATION

4 3A : Increasing and Decreasing Functions and the First Derivative. Increasing and Decreasing. then

Math 1120 Calculus Final Exam

Quick Review for BC Calculus

sketching Jan 22, 2015 Calculus with Algebra and Trigonometry II Lecture 2Maxima andjan minima, 22, 2015 convexity/concav 1 / 15

PARTICLE MOTION: DAY 2

= π + sin π = π + 0 = π, so the object is moving at a speed of π feet per second after π seconds. (c) How far does it go in π seconds?

(A) when x = 0 (B) where the tangent line is horizontal (C) when f '(x) = 0 (D) when there is a sharp corner on the graph (E) None of the above

Review for the Final Exam

If we plot the position of a moving object at increasing time intervals, we get a position time graph. This is sometimes called a distance time graph.

Grade 12 (MCV4UE) AP Calculus Page 1 of 5 Derivative of a Function & Differentiability

Calculus I Homework: The Tangent and Velocity Problems Page 1

PDF Created with deskpdf PDF Writer - Trial ::

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

Math RE - Calculus I Functions Page 1 of 10. Topics of Functions used in Calculus

Graphical Analysis Part III. Motion Graphs. Basic Equations. Velocity is Constant. acceleration is zero. and. becomes

Unit 3 Applications of Differentiation Lesson 4: The First Derivative Lesson 5: Concavity and The Second Derivative

a b c d e GOOD LUCK! 3. a b c d e 12. a b c d e 4. a b c d e 13. a b c d e 5. a b c d e 14. a b c d e 6. a b c d e 15. a b c d e

Section Derivatives and Rates of Change

AP Calculus AB 2015 Free-Response Questions

Review Sheet 2 Solutions

Section 2.1, Section 3.1 Rate of change, Tangents and Derivatives at a point

Bob Brown Math 251 Calculus 1 Chapter 4, Section 4 1 CCBC Dundalk

Math 113 Final Exam Practice Problem Solutions. f(x) = ln x x. lim. lim. x x = lim. = lim 2

MTH 241: Business and Social Sciences Calculus

2.1 How Do We Measure Speed? Student Notes HH6ed. Time (sec) Position (m)

Applications of Derivatives

Worksheet 1. What You Need to Know About Motion Along the x-axis (Part 1)

MATH section 4.4 Concavity and Curve Sketching Page 1. is increasing on I. is decreasing on I. = or. x c

4.3 1st and 2nd derivative tests

AP Calculus AB: Semester Review Notes Information in the box are MASTERY CONCEPTS. Be prepared to apply these concepts on your midterm.

MEMORIAL UNIVERSITY OF NEWFOUNDLAND

Math 1314 Test 2 Review Lessons 2 8

March 5, 2009 Name The problems count as marked. The total number of points available is 131. Throughout this test, show your work.

SOLUTIONS TO EXAM 2, MATH 10550

Multiple Choice. Circle the best answer. No work needed. No partial credit available. is continuous.

CALCULUS EXPLORATION OF THE SECOND FUNDAMENTAL THEOREM OF CALCULUS. Second Fundamental Theorem of Calculus (Chain Rule Version): f t dt

The degree of the polynomial function is n. We call the term the leading term, and is called the leading coefficient. 0 =

Solutions to review problems MAT 125, Fall 2004

Mathematics 1a, Section 4.3 Solutions

CH 2: Limits and Derivatives

3.1 Day 1: The Derivative of a Function

Math 1120 Calculus, section 3 Test 1

Chapter 2 THE DERIVATIVE

Section 3.1 Extreme Values

Math 211 Lecture Notes: Chapter 2 Graphing

MATH 100 and MATH 180 Learning Objectives Session 2010W Term 1 (Sep Dec 2010)

MATH 1325 Business Calculus Guided Notes

Formulas that must be memorized:

Transcription:

MATH 12002 - CALCULUS I 2.2: Differentiability, Graphs, and Higher Derivatives Professor Donald L. White Department of Mathematical Sciences Kent State University D.L. White (Kent State University) 1 / 10

Differentiability The process of finding a derivative is called differentiation, and we define: Definition Let y = f (x) be a function and let a be a number. We say f is differentiable at x = a if f (a) exists. What does this mean in terms of the graph of f? If f f (a+h) f (a) (a) = lim h 0 h exists, then f (a) must be defined. Since the denominator is approaching 0, in order for the limit to exist, the numerator must also approach 0; that is, lim (f (a + h) f (a)) = 0. h 0 Hence lim f (a + h) = f (a), and so lim f (x) = f (a), h 0 x a meaning f must be continuous at x = a. D.L. White (Kent State University) 2 / 10

Differentiability But being continuous at a is not enough to make f differentiable at a. Differentiability is continuity plus. The plus is smoothness: the graph cannot have a sharp corner at a. The graph also cannot have a vertical tangent line at x = a: the slope of a vertical line is not a real number. Hence, in order for f to be differentiable at a, the graph of f must 1 be continuous at a, 2 be smooth at a, i.e., no sharp corners, and 3 not have a vertical tangent line at x = a. The figure below illustrates how a function can fail to be differentiable: 2.2 Figure 7 D.L. White (Kent State University) 3 / 10

Graph of the Derivative We have seen that certain features of the graph of the function f determine where the derivative function f is defined. This is not the only relationship between the graphs of f and f, however. Recall that f (a) is the slope of the tangent line to f at x = a. In fact, we consider this to be the slope of the graph of f at x = a. Recall what we know about a line and the sign of its slope: The slope is positive when the line is going uphill as x increases. The slope is negative when the line is going downhill as x increases. The slope is zero when the line is horizontal. D.L. White (Kent State University) 4 / 10

Graph of the Derivative Similarly, for a general (differentiable) function f, we have the following: The slope of the tangent line is positive when the graph of f is going uphill (that is, f is increasing). The slope of the tangent line is negative when the graph of f is going downhill (that is, f is decreasing). Thus we have the following relationship between the graphs of f and f. f increasing (graph uphill) f positive (graph of f above x-axis) f decreasing (graph downhill) f negative (graph of f below x-axis) D.L. White (Kent State University) 5 / 10

Graph of the Derivative Another important feature of the graph of f is its concavity; that is, whether it is curving upward or it is curving downward CONCAVE UP CONCAVE DOWN If f is concave up, slopes of tangent lines increase from left to right, 1 2 0 and so f is increasing on the interval. If f is concave down, slopes of tangent lines decrease from left to right, 0 2 1 and so f is decreasing on the interval. D.L. White (Kent State University) 6 / 10

Graph of the Derivative We can now add to the relationship we had before the new relationship f increasing f positive f decreasing f negative f concave up (curving upward) f increasing (graph uphill) f concave down (curving downward) f decreasing (graph downhill) EXAMPLE: f f a b c d a b c d D.L. White (Kent State University) 7 / 10

Higher Derivatives A higher derivative is nothing more than a derivative of a derivative, of a derivative, of a derivative, of a derivative, of a derivative... The derivative f (x) of f (x) is also referred to as the first derivative of f (x). The second derivative of f (x) is the derivative of the (first) derivative of f (x), and is denoted f (x). The third derivative of f (x) is the derivative of the second derivative of f (x), and is denoted f (x). The fourth derivative of f (x) is the derivative of the third derivative of f (x), and is denoted f (4) (x) (because f (x) looks awful). You can imagine where it goes from here. D.L. White (Kent State University) 8 / 10

Higher Derivatives We can interpret higher derivatives in terms of rates of change. Since f (n+1) (x) is the derivative of f (n) (x), we know that f (n+1) (x) represents the rate of change of f (n) (x) with respect to x. In particular, we can apply this to position and velocity: Suppose an object is moving in a straight line. s(t) denotes the position of the object (in feet, f ) at time t (in seconds, s). s (t) is the rate of change of position with respect to time at t; that is, s (t) = v(t) is the velocity at time t (in feet per second, f /s). s (t) = v (t) is the rate of change of velocity with respect to time at t; that is, s (t) = v (t) = a(t) is the acceleration at time t (in feet per second per second, (f /s)/s). D.L. White (Kent State University) 9 / 10

Higher Derivatives The second derivative of f also gives information about the graph of f. Recall that f increasing f positive f decreasing f negative Applying this to the function f, we have Recalling also that f increasing (f ) positive f decreasing (f ) negative. f concave up f increasing f concave down f decreasing and observing that (f ) is the second derivative, f, of f, we get f concave up f increasing f positive f concave down f decreasing f negative D.L. White (Kent State University) 10 / 10