Lecture 2. Derivative. 1 / 26

Size: px
Start display at page:

Download "Lecture 2. Derivative. 1 / 26"

Transcription

1 Lecture 2. Derivative. 1 / 26

2 Basic Concepts Suppose we wish to nd the rate at which a given function f (x) is changing with respect to x when x = c. The simplest idea is to nd the average rate of change of the function y = f (x) as x varies from x 0 = c to x 1 = x + h for a given (small) h. This ratio is given by change in f (x) change in x = y x = f (x1) f (x0) x 1 x 0 f (x + c) f (x) = h The ratio can be interpreted as the slope of the secant line from the point P(c, f (c)) to the point Q(c + h, f (c + h) 2 / 26

3 Basic Concepts y y=f(x) f(c+h) y Q f(c) P x c c+h x 3 / 26

4 Basic Concepts Denition The expression f (x + h) f (x) h is called a dierence quotient for the function f (x). Denition The derivative of the function f (x) with respect to x is the function f (x) given by f (x) := lim h 0 f (x + h) f (x). h The process of computing the derivative is called dierentiation, and we say that f (x) is dierentiable at x = c if f (c) exists. Other symbols used for denoting the derivative y f (x) dy dx df dx (x) d dx f (x) x f (x) 4 / 26

5 Basic Concepts Property The slope of the tangent line to curve y = f (x) at the point (c, f (c)) is m tan = f (c) Property The rate of change of f (x) (so-called instantaneous rate of change) with respect to x when x = c is given by f (c). 5 / 26

6 Basic Concepts y y=f(x) f(c) P(c,f(c)) c x 6 / 26

7 Basic Concepts Theorem If the function f (x) is dierentiable at x = c, then it is also continuous at x = c 7 / 26

8 Techniques of Dierentiation Theorem (Constant Rule) For any constant c, d dx [c] = 0 That is, the derivative of a constant is zero. Theorem (The Power Rule) For any real number n R, d dx [x n ] = nx n 1 In words, to nd the derivative of x n, multiply the original exponent n then subtract 1 from the exponent of x. 8 / 26

9 Techniques of Dierentiation Theorem (The Constant Multiple Rule) If c is a constant and f (x) is dierentiable, then so is cf (x) and d dx [cf (x)] = c d [f (x)] dx That is, the derivative of a multiple is the multiple of the derivative. Theorem (The Sum Rule) If f (x) and g(x) are dierentiable, then so is the sum f (x) + g(x) and its derivative is given by d dx [f (x) + g(x)] = d dx [f (x)] + d [g(x)] dx That is, the derivative of a sum is the sum of the separate derivatives. 9 / 26

10 Interpretations Property (Relative and Percentage Rates of Change) The relative rate of change of a quantity Q(x) with respect to x is given by the ratio relative rate of change of Q(x) = Q (x) Q(x) The corresponding percentage rate of change of Q(x) with respect to x is percentage rate of change of Q(x) = Q (x) Q(x) 100% 10 / 26

11 Interpretations Example The gross domestic product (GDP) of a certain country was N(t) = t 2 + 5t billion dollars t years after At what rate was the GDP changing with respect to time in 2010? 2 At what percentage rate was the GDP changing with respect to time in 2010? We have N (t) = 2t + 5 N (10) = = 25 Therefore the rate of change of the GDP in 2010 was N (10) = = 25 billion dollars per year. The percentage rate of change of the GDP in 2010 was per year. N (10) N(10) % = 100% 9, 77% / 26

12 Interpretations Example If the position at time t of an object moving along a straight line is given by s(t), then the object has velocity v(t) := s (t) = ds dt and acceleration a(t) := v (t) = dv dt The object is advancing when v(t) > 0, retreating when v(t) < 0 and stationary when v(t) = 0. It is accelerating when a(t) > 0 and decelerating when a(t) < / 26

13 Techniques of Dierentiation Theorem (The Product Rule) If f (x) and g(x) are dierentiable at x, then so their product f (x) g(x) and d dx [f (x) g(x)] = d dx [f (x)] g(x) + f (x) d [g(x)] dx or equivalently (fg) = f g + fg In words, the derivative of the product fg is g times the derivative of f plus f times the derivative of g. Theorem (The Quotient Rule) If f (x) and g(x) are dierentiable at x, then so is the quotient Q(x) = f (x) g(x) and d dx [ ] f (x) = g(x) d dx [f (x)] g(x) + f (x) d dx [g(x)] [g(x)] 2 provided g(x) 0 or equivalently ( ) f = f g fg g g 2 13 / 26

14 Techniques of Dierentiation Denition (The nth derivative) For any positive integer n, the nth derivative of a function is obtained from the function by dierentiating successively n times. If the original function is y = f (x), the nth derivative is denoted by f (n) (x) or d n y dx n 14 / 26

15 Techniques of Dierentiation Theorem (The Chain Rule) If y = f (u) is dierentiable function of u and u = g(x) is dierentiable function of x, then the composite function y = f (g(x)) is a dierentiable function of x whose derivative is given by the product dy = dy du dx du dx or, equivalently, by dy = dx f (g(x)) g (x) One way to remember the chain rule is to pretend the derivative dy du fractions and to divide out du; that is dy = dy du dx du dx du and dx are 15 / 26

16 Techniques of Dierentiation Theorem (The General Power Rule) For any real number n and dierentiable function h, d dx [h(x)]n = n [h(x)] n 1 d dx [h(x)] 16 / 26

17 Marginal Analysis In economics, the use of the derivative to approximate the change in a quantity that results from 1 unit increase in production is called marginal analysis. For instance, suppose C(x) is the total cost of producing x units of particular commodity. If x 0 units are currently being produced, then the derivative C C(x 0 + h) C(x 0) (x 0) = lim h 0 h is called the marginal cost if producing x 0 units. Notice, that if we take h = 1 and x 0 is large in relation to h = 1 we have that C(x 0 + h) C(x 0) 1 = C(x 0 + h) C(x 0) C (x 0) 17 / 26

18 Marginal Analysis Marginal Revenue and Marginal Prot Suppose R(x) is the revenue generated when x units of a particular commodity are produced, and P(x) is the corresponding prot. When x = x 0 units are being produced, then: The marginal revenue is R (x 0). It approximates R(x 0 + 1) R(x 0), the additional revenue generated by producing one more unit. The marginal prot is P (x 0). It approximates P(x 0 + 1) P(x 0), the additional provit generated by producing one more unit. 18 / 26

19 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? 19 / 26

20 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x / 26

21 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x + 25 b) The current level of production is x = 10 (1, 000 cameras). Based on the marginal prot at this level of production, should Quentin recommend increasing or decreasing production to increase prot? 21 / 26

22 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x + 25 b) The current level of production is x = 10 (1, 000 cameras). Based on the marginal prot at this level of production, should Quentin recommend increasing or decreasing production to increase prot? We have P (10) = unit increase in production from 10 to 11 hundred cameras increases prot by approximately 23,350 dollars. 22 / 26

23 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x + 25 b) The current level of production is x = 10 (1, 000 cameras). Based on the marginal prot at this level of production, should Quentin recommend increasing or decreasing production to increase prot? We have P (10) = unit increase in production from 10 to 11 hundred cameras increases prot by approximately 23,350 dollars. c) What decision should Quentin make if the current level of production is x = 50 (5, 000 cameras)? What if x = 80 (8, 000 cameras)? 23 / 26

24 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x + 25 b) The current level of production is x = 10 (1, 000 cameras). Based on the marginal prot at this level of production, should Quentin recommend increasing or decreasing production to increase prot? We have P (10) = unit increase in production from 10 to 11 hundred cameras increases prot by approximately 23,350 dollars. c) What decision should Quentin make if the current level of production is x = 50 (5, 000 cameras)? What if x = 80 (8, 000 cameras)? P (50) = 5.75 increasing the level of production from 50 to 51 increases the prot by only 5,750 dollars. Little incentive for Quentin to change the level of production. 24 / 26

25 Marginal Analysis Example (Using Marginal Analysis to Make a Business Decision) Quentin is the business manager for a company that manufactures digital cameras. He determines that hen x hundred cameras are produced, the total prot will be P(x) thousand dollars where P(x) = x x x 200 Quentin plans to use marginal prot to make decisions regarding future production. a) What is the marginal prot function? P (x) = (3x 2 ) (2x) + 25 = x x + 25 b) The current level of production is x = 10 (1, 000 cameras). Based on the marginal prot at this level of production, should Quentin recommend increasing or decreasing production to increase prot? We have P (10) = unit increase in production from 10 to 11 hundred cameras increases prot by approximately 23,350 dollars. c) What decision should Quentin make if the current level of production is x = 50 (5, 000 cameras)? What if x = 80 (8, 000 cameras)? P (50) = 5.75 increasing the level of production from 50 to 51 increases the prot by only 5,750 dollars. Little incentive for Quentin to change the level of production. P (80) = 31 raising the level of production actually decreases the prot a good idea is to decrease production in this case. 25 / 26

26 Thank you for your attention! 26 / 26

OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods.

OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods. 1.1 Limits: A Numerical and Graphical Approach OBJECTIVE Find limits of functions, if they exist, using numerical or graphical methods. 1.1 Limits: A Numerical and Graphical Approach DEFINITION: As x approaches

More information

Math 1501 Calc I Summer 2015 QUP SOUP w/ GTcourses

Math 1501 Calc I Summer 2015 QUP SOUP w/ GTcourses Math 1501 Calc I Summer 2015 QUP SOUP w/ GTcourses Instructor: Sal Barone School of Mathematics Georgia Tech May 22, 2015 (updated May 22, 2015) Covered sections: 3.3 & 3.5 Exam 1 (Ch.1 - Ch.3) Thursday,

More information

Definition of Derivative

Definition of Derivative Definition of Derivative The derivative of the function f with respect to the variable x is the function ( ) fʹ x whose value at xis ( x) fʹ = lim provided the limit exists. h 0 ( + ) ( ) f x h f x h Slide

More information

Section 11.3 Rates of Change:

Section 11.3 Rates of Change: Section 11.3 Rates of Change: 1. Consider the following table, which describes a driver making a 168-mile trip from Cleveland to Columbus, Ohio in 3 hours. t Time (in hours) 0 0.5 1 1.5 2 2.5 3 f(t) Distance

More information

Chapter 3 Derivatives

Chapter 3 Derivatives Chapter Derivatives Section 1 Derivative of a Function What you ll learn about The meaning of differentiable Different ways of denoting the derivative of a function Graphing y = f (x) given the graph of

More information

Unit IV Derivatives 20 Hours Finish by Christmas

Unit IV Derivatives 20 Hours Finish by Christmas Unit IV Derivatives 20 Hours Finish by Christmas Calculus There two main streams of Calculus: Differentiation Integration Differentiation is used to find the rate of change of variables relative to one

More information

Unit IV Derivatives 20 Hours Finish by Christmas

Unit IV Derivatives 20 Hours Finish by Christmas Unit IV Derivatives 20 Hours Finish by Christmas Calculus There two main streams of Calculus: Differentiation Integration Differentiation is used to find the rate of change of variables relative to one

More information

Marginal Propensity to Consume/Save

Marginal Propensity to Consume/Save Marginal Propensity to Consume/Save The marginal propensity to consume is the increase (or decrease) in consumption that an economy experiences when income increases (or decreases). The marginal propensity

More information

MATH 2554 (Calculus I)

MATH 2554 (Calculus I) MATH 2554 (Calculus I) Dr. Ashley K. University of Arkansas February 21, 2015 Table of Contents Week 6 1 Week 6: 16-20 February 3.5 Derivatives as Rates of Change 3.6 The Chain Rule 3.7 Implicit Differentiation

More information

INTRODUCTORY MATHEMATICAL ANALYSIS

INTRODUCTORY MATHEMATICAL ANALYSIS INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Lie and Social Sciences Chapter 11 Dierentiation 011 Pearson Education, Inc. Chapter 11: Dierentiation Chapter Objectives To compute

More information

CALCULUS. Berkant Ustaoğlu CRYPTOLOUNGE.NET

CALCULUS. Berkant Ustaoğlu CRYPTOLOUNGE.NET CALCULUS Berkant Ustaoğlu CRYPTOLOUNGE.NET Secant 1 Definition Let f be defined over an interval I containing u. If x u and x I then f (x) f (u) Q = x u is the difference quotient. Also if h 0, such that

More information

2.2 The derivative as a Function

2.2 The derivative as a Function 2.2 The derivative as a Function Recall: The derivative of a function f at a fixed number a: f a f a+h f(a) = lim h 0 h Definition (Derivative of f) For any number x, the derivative of f is f x f x+h f(x)

More information

2 Integration by Substitution

2 Integration by Substitution 86 Chapter 5 Integration 2 Integration by Substitution (a) Find a function P(x) that satisfies these conditions. Use the graphing utility of your calculator to graph this function. (b) Use trace and zoom

More information

DIFFERENTIATION RULES

DIFFERENTIATION RULES 3 DIFFERENTIATION RULES DIFFERENTIATION RULES 3. The Product and Quotient Rules In this section, we will learn about: Formulas that enable us to differentiate new functions formed from old functions by

More information

Chapter. Integration. 1. Antidifferentiation: The Indefinite Integral. 2. Integration by Substitution. 3. Introduction to Differential Equations

Chapter. Integration. 1. Antidifferentiation: The Indefinite Integral. 2. Integration by Substitution. 3. Introduction to Differential Equations Integration Chapter. Antidifferentiation: The Indefinite Integral 2. Integration by Substitution 3. Introduction to Differential Equations 4. Integration by Parts Chapter Summary and Review Problems Antidifferentiation:

More information

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions Chapter 4 Section 4.2 - Derivatives of Exponential and Logarithmic Functions Objectives: The student will be able to calculate the derivative of e x and of lnx. The student will be able to compute the

More information

Chapter 4 Notes, Calculus I with Precalculus 3e Larson/Edwards

Chapter 4 Notes, Calculus I with Precalculus 3e Larson/Edwards 4.1 The Derivative Recall: For the slope of a line we need two points (x 1,y 1 ) and (x 2,y 2 ). Then the slope is given by the formula: m = y x = y 2 y 1 x 2 x 1 On a curve we can find the slope of a

More information

Business and Life Calculus

Business and Life Calculus Business and Life Calculus George Voutsadakis 1 1 Mathematics and Computer Science Lake Superior State University LSSU Math 112 George Voutsadakis (LSSU) Calculus For Business and Life Sciences Fall 2013

More information

Math 106 Calculus 1 Topics for first exam

Math 106 Calculus 1 Topics for first exam Chapter 2: Limits and Continuity Rates of change and its: Math 06 Calculus Topics for first exam Limit of a function f at a point a = the value the function should take at the point = the value that the

More information

MA 137 Calculus 1 with Life Science Applications The Chain Rule and Higher Derivatives (Section 4.4)

MA 137 Calculus 1 with Life Science Applications The Chain Rule and Higher Derivatives (Section 4.4) MA 137 Calculus 1 with Life Science Applications and (Section 4.4) Alberto Corso alberto.corso@uky.edu Department of Mathematics University of Kentucky March 2, 2016 1/15 Theorem Rules of Differentiation

More information

UNIT 2 DERIVATIVES 2.1 EXPONENTIAL AND LOGARITHMIC FUNCTION APPLICATIONS. Pre-Class:

UNIT 2 DERIVATIVES 2.1 EXPONENTIAL AND LOGARITHMIC FUNCTION APPLICATIONS. Pre-Class: 1830 UNIT 2 DERIVATIVES 2.1 EXPONENTIAL AND LOGARITHMIC FUNCTION APPLICATIONS Pre-Class: Take notes on the videos and readings (use the space below). Work and check problem #1 in the 2.1 NOTES section.

More information

x C) y = - A) $20000; 14 years B) $28,000; 14 years C) $28,000; 28 years D) $30,000; 15 years

x C) y = - A) $20000; 14 years B) $28,000; 14 years C) $28,000; 28 years D) $30,000; 15 years Dr. Lee - Math 35 - Calculus for Business - Review of 3 - Show Complete Work for Each Problem MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find

More information

Review for Final Review

Review for Final Review Topics Review for Final Review 1. Functions and equations and graphing: linear, absolute value, quadratic, polynomials, rational (first 1/3 of semester) 2. Simple Interest, compounded interest, and continuously

More information

Calculus : 2-credit version

Calculus : 2-credit version 1 / 50 Calculus : 2-credit version Tan s textbook : 7th edition Chapter 3 Hua-Huai, Félix, Chern Department of Computer Science National Taiwan Ocean University September 15, 2009 Calculus of several variables

More information

3.1 Derivative Formulas for Powers and Polynomials

3.1 Derivative Formulas for Powers and Polynomials 3.1 Derivative Formulas for Powers and Polynomials First, recall that a derivative is a function. We worked very hard in 2.2 to interpret the derivative of a function visually. We made the link, in Ex.

More information

Section 11.7 The Chain Rule

Section 11.7 The Chain Rule Section.7 The Chain Rule Composition of Functions There is another way of combining two functions to obtain a new function. For example, suppose that y = fu) = u and u = gx) = x 2 +. Since y is a function

More information

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

DRAFT - Math 101 Lecture Note - Dr. Said Algarni 2 Limits 2.1 The Tangent Problems The word tangent is derived from the Latin word tangens, which means touching. A tangent line to a curve is a line that touches the curve and a secant line is a line that

More information

LIMITS AND DERIVATIVES

LIMITS AND DERIVATIVES 2 LIMITS AND DERIVATIVES LIMITS AND DERIVATIVES 1. Equation In Section 2.7, we considered the derivative of a function f at a fixed number a: f '( a) lim h 0 f ( a h) f ( a) h In this section, we change

More information

One-Variable Calculus

One-Variable Calculus POLI 270 - Mathematical and Statistical Foundations Department of Political Science University California, San Diego September 30, 2010 1 s,, 2 al Relationships Political Science, economics, sociology,

More information

Final Exam Review. MATH Intuitive Calculus Fall 2013 Circle lab day: Mon / Fri. Name:. Show all your work.

Final Exam Review. MATH Intuitive Calculus Fall 2013 Circle lab day: Mon / Fri. Name:. Show all your work. MATH 11012 Intuitive Calculus Fall 2013 Circle lab day: Mon / Fri Dr. Kracht Name:. 1. Consider the function f depicted below. Final Exam Review Show all your work. y 1 1 x (a) Find each of the following

More information

Math 1314 Lesson 7 Applications of the Derivative

Math 1314 Lesson 7 Applications of the Derivative Math 1314 Lesson 7 Applications of the Derivative Recall from Lesson 6 that the derivative gives a formula for finding the slope of the tangent line to a function at any point on that function. Example

More information

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M.

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Chapter 12: Differentiation SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Mendoza Chapter 12: Differentiation Lecture 12.1: The Derivative Lecture

More information

Tangent Lines and Derivatives

Tangent Lines and Derivatives The Derivative and the Slope of a Graph Tangent Lines and Derivatives Recall that the slope of a line is sometimes referred to as a rate of change. In particular, we are referencing the rate at which the

More information

Chapter 1. Functions, Graphs, and Limits

Chapter 1. Functions, Graphs, and Limits Review for Final Exam Lecturer: Sangwook Kim Office : Science & Tech I, 226D math.gmu.eu/ skim22 Chapter 1. Functions, Graphs, an Limits A function is a rule that assigns to each objects in a set A exactly

More information

Math Practice Final - solutions

Math Practice Final - solutions Math 151 - Practice Final - solutions 2 1-2 -1 0 1 2 3 Problem 1 Indicate the following from looking at the graph of f(x) above. All answers are small integers, ±, or DNE for does not exist. a) lim x 1

More information

Leaving Cert Differentiation

Leaving Cert Differentiation Leaving Cert Differentiation Types of Differentiation 1. From First Principles 2. Using the Rules From First Principles You will be told when to use this, the question will say differentiate with respect

More information

MA 181 Lecture Chapter 7 College Algebra and Calculus by Larson/Hodgkins Limits and Derivatives

MA 181 Lecture Chapter 7 College Algebra and Calculus by Larson/Hodgkins Limits and Derivatives 7.5) Rates of Change: Velocity and Marginals MA 181 Lecture Chapter 7 College Algebra and Calculus by Larson/Hodgkins Limits and Derivatives Previously we learned two primary applications of derivatives.

More information

Functions. A function is a rule that gives exactly one output number to each input number.

Functions. A function is a rule that gives exactly one output number to each input number. Functions A function is a rule that gives exactly one output number to each input number. Why it is important to us? The set of all input numbers to which the rule applies is called the domain of the function.

More information

DIFFERENTIATION RULES

DIFFERENTIATION RULES 3 DIFFERENTIATION RULES DIFFERENTIATION RULES We have: Seen how to interpret derivatives as slopes and rates of change Seen how to estimate derivatives of functions given by tables of values Learned how

More information

MA Lesson 12 Notes Section 3.4 of Calculus part of textbook

MA Lesson 12 Notes Section 3.4 of Calculus part of textbook MA 15910 Lesson 1 Notes Section 3.4 of Calculus part of textbook Tangent Line to a curve: To understand the tangent line, we must first discuss a secant line. A secant line will intersect a curve at more

More information

3.1 Day 1: The Derivative of a Function

3.1 Day 1: The Derivative of a Function A P Calculus 3.1 Day 1: The Derivative of a Function I CAN DEFINE A DERIVATIVE AND UNDERSTAND ITS NOTATION. Last chapter we learned to find the slope of a tangent line to a point on a graph by using a

More information

Math 142 Week-in-Review #4 (Sections , 4.1, and 4.2)

Math 142 Week-in-Review #4 (Sections , 4.1, and 4.2) Math 142 WIR, copyright Angie Allen, Fall 2018 1 Math 142 Week-in-Review #4 (Sections 3.1-3.3, 4.1, and 4.2) Note: This collection of questions is intended to be a brief overview of the exam material (with

More information

Math 116: Business Calculus Chapter 4 - Calculating Derivatives

Math 116: Business Calculus Chapter 4 - Calculating Derivatives Math 116: Business Calculus Chapter 4 - Calculating Derivatives Instructor: Colin Clark Spring 2017 Exam 2 - Thursday March 9. 4.1 Techniques for Finding Derivatives. 4.2 Derivatives of Products and Quotients.

More information

Review of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function

Review of Prerequisite Skills for Unit # 2 (Derivatives) U2L2: Sec.2.1 The Derivative Function UL1: Review o Prerequisite Skills or Unit # (Derivatives) Working with the properties o exponents Simpliying radical expressions Finding the slopes o parallel and perpendicular lines Simpliying rational

More information

2.1 Derivatives and Rates of Change

2.1 Derivatives and Rates of Change 1a 1b 2.1 Derivatives an Rates of Change Tangent Lines Example. Consier y f x x 2 0 2 x-, 0 4 y-, f(x) axes, curve C Consier a smooth curve C. A line tangent to C at a point P both intersects C at P an

More information

3. Find the slope of the tangent line to the curve given by 3x y e x+y = 1 + ln x at (1, 1).

3. Find the slope of the tangent line to the curve given by 3x y e x+y = 1 + ln x at (1, 1). 1. Find the derivative of each of the following: (a) f(x) = 3 2x 1 (b) f(x) = log 4 (x 2 x) 2. Find the slope of the tangent line to f(x) = ln 2 ln x at x = e. 3. Find the slope of the tangent line to

More information

MTAEA Differentiation

MTAEA Differentiation School of Economics, Australian National University February 5, 2010 Basic Properties of the Derivative. Secant Tangent Applet l 3 l 2 l 1 a a 3 a 2 a 1 Figure: The derivative of f at a is the limiting

More information

MAT137 Calculus! Lecture 6

MAT137 Calculus! Lecture 6 MAT137 Calculus! Lecture 6 Today: 3.2 Differentiation Rules; 3.3 Derivatives of higher order. 3.4 Related rates 3.5 Chain Rule 3.6 Derivative of Trig. Functions Next: 3.7 Implicit Differentiation 4.10

More information

1 Functions and Graphs

1 Functions and Graphs 1 Functions and Graphs 1.1 Functions Cartesian Coordinate System A Cartesian or rectangular coordinate system is formed by the intersection of a horizontal real number line, usually called the x axis,

More information

Lecture 26: Section 5.3 Higher Derivatives and Concavity

Lecture 26: Section 5.3 Higher Derivatives and Concavity L26-1 Lecture 26: Section 5.3 Higher Derivatives and Concavity ex. Let f(x) = ln(e 2x + 1) 1) Find f (x). 2) Find d dx [f (x)]. L26-2 We define f (x) = Higher Order Derivatives For y = f(x), we can write

More information

Formulas that must be memorized:

Formulas that must be memorized: Formulas that must be memorized: Position, Velocity, Acceleration Speed is increasing when v(t) and a(t) have the same signs. Speed is decreasing when v(t) and a(t) have different signs. Section I: Limits

More information

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

Chapter 2 Differentiation. 2.1 Tangent Lines and Their Slopes. Calculus: A Complete Course, 8e Chapter 2: Differentiation Chapter 2 Differentiation 2.1 Tangent Lines and Their Slopes 1) Find the slope of the tangent line to the curve y = 4x x 2 at the point (-1, 0). A) -1 2 C) 6 D) 2 1 E) -2 2) Find the equation of the tangent

More information

Announcements. Topics: Homework: - sections 4.5 and * Read these sections and study solved examples in your textbook!

Announcements. Topics: Homework: - sections 4.5 and * Read these sections and study solved examples in your textbook! Announcements Topics: - sections 4.5 and 5.1-5.5 * Read these sections and study solved examples in your textbook! Homework: - review lecture notes thoroughly - work on practice problems from the textbook

More information

Math 611b Assignment #6 Name. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Math 611b Assignment #6 Name. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Math 611b Assignment #6 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find a formula for the function graphed. 1) 1) A) f(x) = 5 + x, x < -

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Winter 2016 Department of Mathematics Hong Kong Baptist University 1 / 75 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

2.2 THE DERIVATIVE 2.3 COMPUTATION OF DERIVATIVES: THE POWER RULE 2.4 THE PRODUCT AND QUOTIENT RULES 2.6 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS

2.2 THE DERIVATIVE 2.3 COMPUTATION OF DERIVATIVES: THE POWER RULE 2.4 THE PRODUCT AND QUOTIENT RULES 2.6 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS Differentiation CHAPTER 2 2.1 TANGENT LINES AND VELOCITY 2.2 THE DERIVATIVE 2.3 COMPUTATION OF DERIVATIVES: THE POWER RULE 2.4 THE PRODUCT AND QUOTIENT RULES 25 2.5 THE CHAIN RULE 2.6 DERIVATIVES OF TRIGONOMETRIC

More information

To take the derivative of x raised to a power, you multiply in front by the exponent and subtract 1 from the exponent.

To take the derivative of x raised to a power, you multiply in front by the exponent and subtract 1 from the exponent. MA123, Chapter 5: Formulas for Derivatives (pp. 83-102, Gootman) Chapter Goals: Know and be able to apply the formulas for derivatives. Understand the chain rule and be able to apply it. Know how to compute

More information

Mathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics

Mathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics Mathematics for Economics ECON 53035 MA/MSSc in Economics-2017/2018 Dr. W. M. Semasinghe Senior Lecturer Department of Economics MATHEMATICS AND STATISTICS LERNING OUTCOMES: By the end of this course unit

More information

DIFFERENTIATION: BASIC CONCEPTS

DIFFERENTIATION: BASIC CONCEPTS *(866)487-8889* CONFIRMING PROOFS MASTER SET Please mark all alterations on this set only hof51918_ch02_097_186 10/1/05 21:14 Page 97 indesign Nishant:Desktop Folder:Rakesh 10-01-05:DQ046: CHAPTER 2 The

More information

MATH 236 ELAC FALL 2017 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 236 ELAC FALL 2017 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 236 ELAC FALL 207 CA 9 NAME: SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. ) 27 p 3 27 p 3 ) 2) If 9 t 3 4t 9-2t = 3, find t. 2) Solve the equation.

More information

MATH 1325 Business Calculus Guided Notes

MATH 1325 Business Calculus Guided Notes MATH 135 Business Calculus Guided Notes LSC North Harris By Isabella Fisher Section.1 Functions and Theirs Graphs A is a rule that assigns to each element in one and only one element in. Set A Set B Set

More information

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

DRAFT - Math 101 Lecture Note - Dr. Said Algarni 3 Differentiation Rules 3.1 The Derivative of Polynomial and Exponential Functions In this section we learn how to differentiate constant functions, power functions, polynomials, and exponential functions.

More information

Average rates of change May be used to estimate the derivative at a point

Average rates of change May be used to estimate the derivative at a point Derivatives Big Ideas Rule of Four: Numerically, Graphically, Analytically, and Verbally Average rate of Change: Difference Quotient: y x f( a+ h) f( a) f( a) f( a h) f( a+ h) f( a h) h h h Average rates

More information

II. The Calculus of The Derivative

II. The Calculus of The Derivative II The Calculus of The Derivative In Chapter I we learned that derivative was the mathematical concept that captured the common features of the tangent problem, instantaneous velocity of a moving object,

More information

December Exam Summary

December Exam Summary December Exam Summary 1 Lines and Distances 1.1 List of Concepts Distance between two numbers on the real number line or on the Cartesian Plane. Increments. If A = (a 1, a 2 ) and B = (b 1, b 2 ), then

More information

2.2. THE PRODUCT AND QUOTIENT RULES 179. P dv dt + V dp. dt.

2.2. THE PRODUCT AND QUOTIENT RULES 179. P dv dt + V dp. dt. 22 THE PRODUCT AND QUOTIENT RULES 179 Thus, using the Product Rule, we find that dt = 1 k P dv + V dp At t = t 0, we obtain dt = 1 [(100, 000)(0005) + (002)( 100)] = 6225 K/s t0 8 Hence, at time t 0, the

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Spring 2018 Department of Mathematics Hong Kong Baptist University 1 / 82 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a)

2.1 The derivative. Rates of change. m sec = y f (a + h) f (a) 2.1 The derivative Rates of change 1 The slope of a secant line is m sec = y f (b) f (a) = x b a and represents the average rate of change over [a, b]. Letting b = a + h, we can express the slope of the

More information

Learning Objectives for Math 165

Learning Objectives for Math 165 Learning Objectives for Math 165 Chapter 2 Limits Section 2.1: Average Rate of Change. State the definition of average rate of change Describe what the rate of change does and does not tell us in a given

More information

Math 142 (Summer 2018) Business Calculus 5.8 Notes

Math 142 (Summer 2018) Business Calculus 5.8 Notes Math 142 (Summer 2018) Business Calculus 5.8 Notes Implicit Differentiation and Related Rates Why? We have learned how to take derivatives of functions, and we have seen many applications of this. However

More information

Midterm 1 Review Problems Business Calculus

Midterm 1 Review Problems Business Calculus Midterm 1 Review Problems Business Calculus 1. (a) Show that the functions f and g are inverses of each other by showing that f g(x) = g f(x) given that (b) Sketch the functions and the line y = x f(x)

More information

Review for the Final Exam

Review for the Final Exam Math 171 Review for the Final Exam 1 Find the limits (4 points each) (a) lim 4x 2 3; x x (b) lim ( x 2 x x 1 )x ; (c) lim( 1 1 ); x 1 ln x x 1 sin (x 2) (d) lim x 2 x 2 4 Solutions (a) The limit lim 4x

More information

Section 5.1 Practice Exercises. Vocabulary and Key Concepts

Section 5.1 Practice Exercises. Vocabulary and Key Concepts Section 5.1 Practice Exercises Vocabulary and Key Concepts 1. 1. A(n) is used to show repeated multiplication of the base. 2. For b 0, the expression b 0 is defined to be. 3. For b 0, the expression b

More information

Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued)

Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued) Tangent Lines Sec. 2.1, 2.7, & 2.8 (continued) Prove this Result How Can a Derivative Not Exist? Remember that the derivative at a point (or slope of a tangent line) is a LIMIT, so it doesn t exist whenever

More information

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

Section 2.1, Section 3.1 Rate of change, Tangents and Derivatives at a point Section 2.1, Section 3.1 Rate of change, Tangents and Derivatives at a point Line through P and Q approaches to the tangent line at P as Q approaches P. That is as a + h a = h gets smaller. Slope of the

More information

Differentiation - Quick Review From Calculus

Differentiation - Quick Review From Calculus Differentiation - Quick Review From Calculus Philippe B. Laval KSU Current Semester Philippe B. Laval (KSU) Differentiation - Quick Review From Calculus Current Semester 1 / 13 Introduction In this section,

More information

Section 2.1 Limits: Approached Numerically and Graphically

Section 2.1 Limits: Approached Numerically and Graphically Section 2.1 Limits: Approached Numerically and Graphically Foundation Concepts: Limit Left-hand limit Right-hand limit 1 = 1 = tiny big Practice: 1. What can we say about lim,. f(x)? a) If lim, 3 4 f(x)=7

More information

Chapter 2. Limits and Continuity. 2.1 Rates of change and Tangents to Curves. The average Rate of change of y = f(x) with respect to x over the

Chapter 2. Limits and Continuity. 2.1 Rates of change and Tangents to Curves. The average Rate of change of y = f(x) with respect to x over the Chapter 2 Limits and Continuity 2.1 Rates of change and Tangents to Curves Definition 2.1.1 : interval [x 1, x 2 ] is The average Rate of change of y = f(x) with respect to x over the y x = f(x 2) f(x

More information

Table of Contents. Module 1

Table of Contents. Module 1 Table of Contents Module Order of operations 6 Signed Numbers Factorization of Integers 7 Further Signed Numbers 3 Fractions 8 Power Laws 4 Fractions and Decimals 9 Introduction to Algebra 5 Percentages

More information

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

More information

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

Math 1314 Lesson 7 Applications of the Derivative. rate of change, instantaneous rate of change, velocity, => the derivative Math 1314 Lesson 7 Applications of the Derivative In word problems, whenever it s anything about a: rate of change, instantaneous rate of change, velocity, => the derivative average rate of change, difference

More information

1.1 : (The Slope of a straight Line)

1.1 : (The Slope of a straight Line) 1.1 : (The Slope of a straight Line) Equations of Nonvertical Lines: A nonvertical line L has an equation of the form y mx b. The number m is called the slope of L and the point (0, b) is called the y-intercept.

More information

CHAPTER 3 DIFFERENTIATION

CHAPTER 3 DIFFERENTIATION CHAPTER 3 DIFFERENTIATION 3.1 THE DERIVATIVE AND THE TANGENT LINE PROBLEM You will be able to: - Find the slope of the tangent line to a curve at a point - Use the limit definition to find the derivative

More information

Definition: If y = f(x), then. f(x + x) f(x) y = f (x) = lim. Rules and formulas: 1. If f(x) = C (a constant function), then f (x) = 0.

Definition: If y = f(x), then. f(x + x) f(x) y = f (x) = lim. Rules and formulas: 1. If f(x) = C (a constant function), then f (x) = 0. Definition: If y = f(x), then Rules and formulas: y = f (x) = lim x 0 f(x + x) f(x). x 1. If f(x) = C (a constant function), then f (x) = 0. 2. If f(x) = x k (a power function), then f (x) = kx k 1. 3.

More information

The Mean Value Theorem

The Mean Value Theorem Math 31A Discussion Session Week 6 Notes February 9 and 11, 2016 This week we ll discuss some (unsurprising) properties of the derivative, and then try to use some of these properties to solve a real-world

More information

Math 141: Lecture 11

Math 141: Lecture 11 Math 141: Lecture 11 The Fundamental Theorem of Calculus and integration methods Bob Hough October 12, 2016 Bob Hough Math 141: Lecture 11 October 12, 2016 1 / 36 First Fundamental Theorem of Calculus

More information

MATH150-E01 Test #2 Summer 2016 Show all work. Name 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3).

MATH150-E01 Test #2 Summer 2016 Show all work. Name 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3). 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3). 2. Let the supply and demand functions for sugar be given by p = S(q) = 1.4q 0.6 and p = D(q) = 2q + 3.2 where p is the

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus The Fundamental Theorem of Calculus Objectives Evaluate a definite integral using the Fundamental Theorem of Calculus. Understand and use the Mean Value Theorem for Integrals. Find the average value of

More information

Unit 4: Rules of Differentiation

Unit 4: Rules of Differentiation Unit : Rules of Differentiation DAY TOPIC ASSIGNMENT Power Rule p. Power Rule Again p. Even More Power Rule p. 5 QUIZ 5 Rates of Change p. 6-7 6 Rates of Change p. 8-9 7 QUIZ 8 Product Rule p. 0-9 Quotient

More information

Chapter 6: Sections 6.1, 6.2.1, Chapter 8: Section 8.1, 8.2 and 8.5. In Business world the study of change important

Chapter 6: Sections 6.1, 6.2.1, Chapter 8: Section 8.1, 8.2 and 8.5. In Business world the study of change important Study Unit 5 : Calculus Chapter 6: Sections 6., 6.., 6.3. Chapter 8: Section 8., 8. and 8.5 In Business world the study of change important Example: change in the sales of a company; change in the value

More information

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

MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation Dr. Sarah Mitchell Autumn 2014 Rolle s Theorem Theorem

More information

The Chain Rule. The Chain Rule. dy dy du dx du dx. For y = f (u) and u = g (x)

The Chain Rule. The Chain Rule. dy dy du dx du dx. For y = f (u) and u = g (x) AP Calculus Mrs. Jo Brooks The Chain Rule To find the derivative of more complicated functions, we use something called the chain rule. It can be confusing unless you keep yourself organized as you go

More information

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

Math 2413 General Review for Calculus Last Updated 02/23/2016 Math 243 General Review for Calculus Last Updated 02/23/206 Find the average velocity of the function over the given interval.. y = 6x 3-5x 2-8, [-8, ] Find the slope of the curve for the given value of

More information

THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics. Mathematics 01 MTU Elements of Calculus in Economics

THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics. Mathematics 01 MTU Elements of Calculus in Economics THE INSTITUTE OF FINANCE MANAGEMENT (IFM) Department of Mathematics Mathematics 0 MTU 070 Elements of Calculus in Economics Calculus Calculus deals with rate of change of quantity with respect to another

More information

REVIEW OF MATHEMATICAL CONCEPTS

REVIEW OF MATHEMATICAL CONCEPTS REVIEW OF MATHEMATICAL CONCEPTS Variables, functions and slopes: A Variable is any entity that can take different values such as: price, output, revenue, cost, etc. In economics we try to 1. Identify the

More information

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides Reference 1: Transformations of Graphs an En Behavior of Polynomial Graphs Transformations of graphs aitive constant constant on the outsie g(x) = + c Make graph of g by aing c to the y-values on the graph

More information

2.1 The Tangent and Velocity Problems

2.1 The Tangent and Velocity Problems 2.1 The Tangent and Velocity Problems Tangents What is a tangent? Tangent lines and Secant lines Estimating slopes from discrete data: Example: 1. A tank holds 1000 gallons of water, which drains from

More information

Final Exam Review Packet

Final Exam Review Packet 1 Exam 1 Material Sections A.1, A.2 and A.6 were review material. There will not be specific questions focused on this material but you should know how to: Simplify functions with exponents. Factor quadratics

More information

Final Exam Review Packet

Final Exam Review Packet 1 Exam 1 Material Sections A.1, A.2 and A.6 were review material. There will not be specific questions focused on this material but you should know how to: Simplify functions with exponents. Factor quadratics

More information

Sample Mathematics 106 Questions

Sample Mathematics 106 Questions Sample Mathematics 106 Questions x 2 + 8x 65 (1) Calculate lim x 5. x 5 (2) Consider an object moving in a straight line for which the distance s (measured in feet) it s travelled from its starting point

More information