Chapter 11 Review Important Terms, Symbols, Concepts

Slides:



Advertisements
Similar presentations
Business Calculus Other Bases & Elasticity of Demand.
Advertisements

Chapter 5 Some Applications of Consumer Demand, and Welfare Analysis.
DIFFERENTIATION & INTEGRATION CHAPTER 4.  Differentiation is the process of finding the derivative of a function.  Derivative of INTRODUCTION TO DIFFERENTIATION.
Logarithmic Equations Unknown Exponents Unknown Number Solving Logarithmic Equations Natural Logarithms.
Rules for Differentiating Univariate Functions Given a univariate function that is both continuous and smooth throughout, it is possible to determine its.
Copyright © Cengage Learning. All rights reserved. 11 Techniques of Differentiation with Applications.
Chapter 4 Additional Derivative Topics Section 5 Implicit Differentiation.
Objectives for Section 11.2 Derivatives of Exp/Log Functions
Chapter 12 Additional Differentiation Topics.
4.1 Composite and inverse functions
The exponential function occurs very frequently in mathematical models of nature and society.
Derivative of Logarithmic Function.
3.9: Derivatives of Exponential and Log Functions Objective: To find and apply the derivatives of exponential and logarithmic functions.
Derivatives of Logarithmic Functions
Inverse functions & Logarithms P.4. Vocabulary One-to-One Function: a function f(x) is one-to-one on a domain D if f(a) ≠ f(b) whenever a ≠ b. The graph.
1 §11.6 Related Rates §11.7 Elasticity of Demand The student will be able to solve problems involving ■ Implicit Differentiation ■ Related rate problems.
3.9 Exponential and Logarithmic Derivatives Thurs Oct 8
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 3 Integration.
Katie Bisciotti Alyssa Mayer Andrew Stacy
Chapter 4 Additional Derivative Topics
Chapter 4 Additional Derivative Topics Section 5 Implicit Differentiation.
Logarithmic Differentiation
CHAPTER 4 DIFFERENTIATION NHAA/IMK/UNIMAP. INTRODUCTION Differentiation – Process of finding the derivative of a function. Notation NHAA/IMK/UNIMAP.
Chapter 4 Additional Derivative Topics
3.1 The Product and Quotient Rules & 3.2 The Chain Rule and the General Power Rule.
Derivatives. Product Rule Quotient Rule The Chain Rule.
Chapter 4 Additional Derivative Topics Section 4 The Chain Rule.
Section 3.1 Derivative Formulas for Powers and Polynomials
Chapter 11 Additional Derivative Topics
Chapter 3 Derivatives.
Copyright © Cengage Learning. All rights reserved.
Derivatives of exponentials and Logarithms
Chapter 2 Functions and Graphs
Chapter 5: Inverse, Exponential, and Logarithmic Functions
Learning Objectives for Section 11.4 The Chain Rule
Inverse, Exponential, and Logarithmic Functions
Chapter 11 Additional Derivative Topics
Objectives for Section 11.3 Derivatives of Products and Quotients
Chapter 11 Additional Derivative Topics
3.1 Polynomial & Exponential Derivatives
CHAPTER 4 DIFFERENTIATION.
Techniques of Differentiation
Exponential and Logarithmic Functions
Exponential and Logarithmic Functions
Chapter 11 Additional Derivative Topics
3.9: Derivatives of Exponential and Logarithmic Functions, p. 172
Managerial Economics in a Global Economy
Chapter 3 Optimization Techniques and New Management Tools
Copyright © Cengage Learning. All rights reserved.
Techniques of Differentiation
Chapter 3 Derivatives.
Copyright © Cengage Learning. All rights reserved.
Deriving and Integrating Logarithms and Exponential Equations
Chain Rule AP Calculus.
Derivatives of Logarithmic Functions
Fall Break Chain Rule Review
Copyright © Cengage Learning. All rights reserved.
Chapter 3 Integration Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley.
Implicit Differentiation
3.1 – Rules for the Derivative
Exponential and Logarithmic Derivatives
4.3 – Differentiation of Exponential and Logarithmic Functions
DIFFERENTIATION AND APPLICATIONS.
Derivatives of Exponential and Logarithmic Functions
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Exponential and Logarithmic Functions
Chapter 3 Derivatives.
Chapter 11 Additional Derivative Topics
Chapter 3 Additional Derivative Topics
Presentation transcript:

Chapter 11 Review Important Terms, Symbols, Concepts 11.1. The Constant e and Continuous Compound Interest The number e is defined as either one of the limits If the number of compounding periods in one year is increased without limit, we obtain the compound interest formula A = Pert, where P = principal, r = annual interest rate compounded continuously, t = time in years, and A = amount at time t. Barnett/Ziegler/Byleen Business Calculus 11e

Chapter 11 Review 11.2. Derivatives of Exponential and Logarithmic Functions For b > 0, b  1 The change of base formulas allow conversion from base e to any base b > 0, b  1: bx = ex ln b, logb x = ln x/ln b. Barnett/Ziegler/Byleen Business Calculus 11e

Chapter 11 Review 11.3. Derivatives of Products and Quotients Product Rule: If f (x) = F(x)  S(x), then Quotient Rule: If f (x) = T (x) / B(x), then 11.4. Chain Rule If m(x) = f [g(x)], then m’(x) = f ’[g(x)] g’(x) Barnett/Ziegler/Byleen Business Calculus 11e

Chapter 11 Review 11.4. Chain Rule (continued) A special case of the chain rule is the general power rule: Other special cases of the chain rule are the following general derivative rules: Barnett/Ziegler/Byleen Business Calculus 11e

Chapter 11 Review 11.5. Implicit Differentiation If y = y(x) is a function defined by an equation of the form F(x, y) = 0, we can use implicit differentiation to find y’ in terms of x, y. 11.6. Related Rates If x and y represent quantities that are changing with respect to time and are related by an equation of the form F(x, y) = 0, then implicit differentiation produces an equation that relates x, y, dy/dt and dx/dt. Problems of this type are called related rates problems. Barnett/Ziegler/Byleen Business Calculus 11e

Chapter 11 Review 11.7. Elasticity of Demand The relative rate of change, or the logarithmic derivative, of a function f (x) is f ’(x) / f (x), and the percentage rate of change is 100  (f ’(x) / f (x). If price and demand are related by x = f (p), then the elasticity of demand is given by Demand is inelastic if 0 < E(p) < 1. (Demand is not sensitive to changes in price). Demand is elastic if E(p) > 1. (Demand is sensitive to changes in price). Barnett/Ziegler/Byleen Business Calculus 11e