The exponential function occurs very frequently in mathematical models of nature and society.

Slides:



Advertisements
Similar presentations
The Natural Logarithmic Function
Advertisements

3.2 Inverse Functions and Logarithms 3.3 Derivatives of Logarithmic and Exponential functions.
However, some functions are defined implicitly. Some examples of implicit functions are: x 2 + y 2 = 25 x 3 + y 3 = 6xy.
Fun with Differentiation!
7 INVERSE FUNCTIONS.
Exponential and Logarithmic Functions 5 Exponential Functions Logarithmic Functions Differentiation of Exponential Functions Differentiation of Logarithmic.
Section 2.5 – Implicit Differentiation
Chapter 4 Additional Derivative Topics Section 5 Implicit Differentiation.
Solving Exponential Equations Using Logarithms
3 DIFFERENTIATION RULES.
Aim: Differentiating Natural Log Function Course: Calculus Do Now: Aim: How do we differentiate the natural logarithmic function? Power Rule.
Chapter 12 Additional Differentiation Topics.
Warm Up – NO CALCULATOR Find the derivative of y = x2 ln(x3)
7.2The Natural Logarithmic and Exponential Function Math 6B Calculus II.
Derivative of Logarithmic Function.
3.6 Derivatives of Logarithmic Functions 1Section 3.6 Derivatives of Log Functions.
Derivatives of Logarithmic Functions
The Natural Logarithmic Function
3 DERIVATIVES. The functions that we have met so far can be described by expressing one variable explicitly in terms of another variable.  For example,,
Laws of Logarithms 5.6. Laws of Logarithms O If M and N are positive real numbers and b is a positive number such that b  1, then O 1. log b MN = log.
Implicit Differentiation 3.6. Implicit Differentiation So far, all the equations and functions we looked at were all stated explicitly in terms of one.
1 Implicit Differentiation Lesson Introduction Consider an equation involving both x and y: This equation implicitly defines a function in x It.
Section 2.5 – Implicit Differentiation. Explicit Equations The functions that we have differentiated and handled so far can be described by expressing.
Example: Sec 3.7: Implicit Differentiation. Example: In some cases it is possible to solve such an equation for as an explicit function In many cases.
1 Implicit Differentiation. 2 Introduction Consider an equation involving both x and y: This equation implicitly defines a function in x It could be defined.
Section 2.5 Implicit Differentiation
Implicit Differentiation - Used in cases where it is impossible to solve for “y” as an explicit function of “x”
3.6 Derivatives of Logarithmic Functions In this section, we: use implicit differentiation to find the derivatives of the logarithmic functions and, in.
3.9 Exponential and Logarithmic Derivatives Thurs Oct 8
Section 3.5 Implicit Differentiation 1. Example If f(x) = (x 7 + 3x 5 – 2x 2 ) 10, determine f ’(x). Now write the answer above only in terms of y if.
5.1 The Natural Logarithmic Function: Differentiation.
Logarithmic Differentiation
Implicit differentiation (2.5) October 29th, 2012.
Properties of Logarithms log b (MN)= log b M + log b N Ex: log 4 (15)= log log 4 3 log b (M/N)= log b M – log b N Ex: log 3 (50/2)= log 3 50 – log.
CHAPTER 4 DIFFERENTIATION NHAA/IMK/UNIMAP. INTRODUCTION Differentiation – Process of finding the derivative of a function. Notation NHAA/IMK/UNIMAP.
Calculus and Analytical Geometry
Copyright © Cengage Learning. All rights reserved. 3 Differentiation Rules.
Warm-Up 1) Use log 3 5 = and log 3 6 = to approximate log ) Condense 7 log log 4 x + 3 log 4 y.
7.2* Natural Logarithmic Function In this section, we will learn about: The natural logarithmic function and its derivatives. INVERSE FUNCTIONS.
© 2010 Pearson Education Inc.Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 1 of 33 Chapter 3 Techniques of Differentiation.
Derivatives of Logarithmic Functions Objective: Obtain derivative formulas for logs.
UNIT 2 LESSON 9 IMPLICIT DIFFERENTIATION 1. 2 So far, we have been differentiating expressions of the form y = f(x), where y is written explicitly in.
1 3.6 – Derivatives of Logarithmic Functions. 2 Rules Why is the absolute value needed?
Copyright © Cengage Learning. All rights reserved.
Derivatives of exponentials and Logarithms
Implicit Differentiation
Warm Up WARM UP Evaluate the expression without using a calculator.
Chapter 11 Additional Derivative Topics
Section 3.7 Implicit Functions
3.6 Warm-Up Find y´´ Find the Derivative:.
Implicit Differentiation
MTH1170 Implicit Differentiation
Derivatives and Integrals of Natural Logarithms
CHAPTER 4 DIFFERENTIATION.
Sec 3.5: IMPLICIT DIFFERENTIATION
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Implicit Differentiation
Implicit Differentiation
Derivatives of Logarithmic Functions
Implicit Differentiation
Copyright © Cengage Learning. All rights reserved.
Implicit Differentiation
Exponential and Logarithmic Derivatives
Copyright © Cengage Learning. All rights reserved.
2.5 Implicit Differentiation
Copyright © Cengage Learning. All rights reserved.
Derivatives of Logarithmic and Exponential functions
Presentation transcript:

The exponential function occurs very frequently in mathematical models of nature and society.

So, how to calculate the slope when you don’t know derivative?

example: Differentiate the function example:

take derivative of both sides take ln of both sides ?

Differentiate y = ln(x 3 + 1). example: To use the Chain Rule, we let u = x Then, y = ln u. example: Find:

Differentiate example:

If we first simplify the given function using the laws of logarithms, the differentiation becomes easier

example: Thus, f ’(x) = 1/x for all x ≠ 0. The result is worth remembering:

a logarithmic function with base a in terms of the natural logarithmic function: example:

LOGARITHMIC DIFFERENTIATION 1.Take natural logarithms of both sides of an equation y = f(x) and simplify. 2. Differentiate implicitly with respect to x. 3. Solve the resulting equation for y’. example: differentiate Since we have an explicit expression for y, we can substitute and write If we hadn’t used logarithmic differentiation the resulting calculation would have been horrendous.

example: