1 Chapter 4 Exponential and Logarithmic Functions ( 指数函数和对数函数 ) In this Chapter, we will encounter some important concepts  Exponential Functions( 指数函数.

Slides:



Advertisements
Similar presentations
Differential Equations Brannan Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 08: Series Solutions of Second Order Linear Equations.
Advertisements

Chapter 10 Infinite Series by: Anna Levina edited: Rhett Chien.
(1) An ordered set of real numbers is called a sequence and is denoted by ( ). If the number of terms is unlimited, then the sequence is said to be an.
TECHNIQUES OF INTEGRATION
3.3 Differentiation Formulas
INFINITE SEQUENCES AND SERIES
Ch 5.2: Series Solutions Near an Ordinary Point, Part I
INTEGRALS The Substitution Rule In this section, we will learn: To substitute a new variable in place of an existing expression in a function,
1 Chapter 7 Transcendental Functions Inverse Functions and Their Derivatives.
Infinite Sequences and Series
TRANSCENDENTAL FUNCTIONS
Math Calculus I Part 8 Power series, Taylor series.
8 Indefinite Integrals Case Study 8.1 Concepts of Indefinite Integrals
The Secant-Line Calculation of the Derivative
1 Chapter 4 Exponential and Logarithmic Functions ( 指数函数和对数函数 ) In this Chapter, we will encounter some important concepts  Exponential Functions( 指数函数.
Logarithmic, Exponential, and Other Transcendental Functions Copyright © Cengage Learning. All rights reserved.
Copyright © 2005 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 7 Transcendental Functions.
Techniques of Integration
Calculus and Analytic Geometry II Cloud County Community College Spring, 2011 Instructor: Timothy L. Warkentin.
1.) If there are initially 100 fruit flies in a sample, and the number of fruit flies decreases by one-half each hour, How many fruit flies will be present.
© 2008 Pearson Addison-Wesley. All rights reserved Chapter 1 Section 8-6 Exponential and Logarithmic Functions, Applications, and Models.
First Day of School Day 1 8/19/2013 Assignment Objectives:
Example We can also evaluate a definite integral by interpretation of definite integral. Ex. Find by interpretation of definite integral. Sol. By the interpretation.
Chapter 1 Infinite Series, Power Series
Section 1.2 Functions and Graphs Day 2 (8/21/2012) Objectives: Identify the domain and the range of a function using its graph or equation. Recognize even.
3 Exponential and Logarithmic Functions
The importance of sequences and infinite series in calculus stems from Newton’s idea of representing functions as sums of infinite series.  For instance,
Chapter 8-Infinite Series Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.
4.1 Implicit Differentiation Definition. We will say that a given equation in x and y defines the function f implicitly if the graph of y = f(x)
DERIVATIVES 3. If it were always necessary to compute derivatives directly from the definition, as we did in the Section 3.2, then  Such computations.
Example: Later, though, we will meet functions, such as y = x 2 sinx, for which the product rule is the only possible method.
DIFFERENTIATION RULES
Logarithmic, Exponential, and Other Transcendental Functions 5 Copyright © Cengage Learning. All rights reserved.
CHAPTER 5 SECTION 5.5 BASES OTHER THAN e AND APPLICATIONS.
Section 1.2 Functions and Graphs Day 2 (8/21/2012) Objectives: Identify the domain and the range of a function using its graph or equation. Recognize even.
Chapter 5-The Integral Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.
Infinite Sequences and Series 8. Taylor and Maclaurin Series 8.7.
Logarithmic, Exponential, and Other Transcendental Functions Copyright © Cengage Learning. All rights reserved.
3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given.
In section 11.9, we were able to find power series representations for a certain restricted class of functions. Here, we investigate more general problems.
Copyright © 2005 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 11 Infinite Sequences and Series.
CHAPTER 3 NUMERICAL METHODS
The Convergence Problem Recall that the nth Taylor polynomial for a function f about x = x o has the property that its value and the values of its first.
In this section we develop general methods for finding power series representations. Suppose that f (x) is represented by a power series centered at.
Applications of Exponential Functions
3 DERIVATIVES.  Remember, they are valid only when x is measured in radians.  For more details see Chapter 3, Section 4 or the PowerPoint file Chapter3_Sec4.ppt.
MTH 253 Calculus (Other Topics) Chapter 11 – Infinite Sequences and Series Section 11.1 – Sequences Copyright © 2009 by Ron Wallace, all rights reserved.
This is an example of an infinite series. 1 1 Start with a square one unit by one unit: This series converges (approaches a limiting value.) Many series.
Copyright © 2013, 2009, 2005 Pearson Education, Inc. 1 4 Inverse, Exponential, and Logarithmic Functions Copyright © 2013, 2009, 2005 Pearson Education,
Calculus 1.Area Problem A1A1 A2A2 A3A3 A4A4 A = A 1 + A 2 + A 3 + A 4 A3A3 A4A4 A5A5 A 10 …… A = lim A n = πr 2 n -> ∞ A x y 0 y=x 2 x y 0 x y 0 Volume.
Section 3.1 Introduction & Review of Power Series.
College Algebra & Trigonometry
3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given.
Advanced Engineering Mathematics, 7 th Edition Peter V. O’Neil © 2012 Cengage Learning Engineering. All Rights Reserved. CHAPTER 4 Series Solutions.
1 Copyright © Cengage Learning. All rights reserved. 5. Inverse, Exponential and Logarithmic Functions 5.3 The natural Exponential Function.
Exponenetial and Logarithmic Functions Chapter Four.
Derivatives of Logarithmic Functions Objective: Obtain derivative formulas for logs.
Convergence of Taylor Series Objective: To find where a Taylor Series converges to the original function; approximate trig, exponential and logarithmic.
Logarithmic, Exponential, and Other Transcendental Functions
In the special case c = 0, T (x) is also called the Maclaurin Series: THEOREM 1 Taylor Series Expansion If f (x) is represented by a power series.
Lecture 22 Definite Integrals.
Transcendental Functions
Chapter 12: Infinite Series
A power series with center c is an infinite series where x is a variable. For example, is a power series with center c = 2.
Logarithmic, Exponential, and Other Transcendental Functions
CHAPTER 19 Series and Residues.
5 Logarithmic, Exponential, and Other Transcendental Functions
Infinite Sequences and Series
Copyright © Cengage Learning. All rights reserved.
Presentation transcript:

1 Chapter 4 Exponential and Logarithmic Functions ( 指数函数和对数函数 ) In this Chapter, we will encounter some important concepts  Exponential Functions( 指数函数 )  Logarithmic Functions( 对数函数 )  Differentiation of Logarithmic and Exponential Functions Exponential Functions

2 Section 4.1 Exponential Functions Exponential function( 指数函数 ): If b is a positive number other than 1 (b>0, b≠1), there is a unique function called the exponential function with base b that is defined by f(x)=b x for every real number x NOTE: Such function can be used to describe exponential and logistic growth and a variety of other important quantities.

3 Definition of for Rational Values of n (and b>0) Integer powers: If n is a positive integer, Fractional powers: If n and m are positive integers, where denotes the positive mth root. Negative powers: Zero power:

4 Example 1 Solution: Solution:

5 Figure below shows graphs of various members of the family of exponential functions NOTE: Students often confuse the power function with the exponential function

6

7

8 Definition: The natural exponential function is Where n ,000100,

9 Continuous Compounding of Interest( 连续利息 ) If P is the initial investment (the principal) and r is the interest rate (expressed as a decimal), the balance B after the interest is added will be B=P+P r =P(1+r) dollars

10

11

12

13 Example 2 Suppose $1,000 is invested at an annual interest rate of 6%. Compute the balance after 10 years if the interest is compounded a. Quarterly b. Monthly c. Daily d. Continuously Solution: a.To compute the balance after 10 years if the interest is compounded quarterly, using the formula with t=10, p=1,000, r=0.06, and k=4: with t=10, p=1,000, r=0.06, and k=4: to be continued

14 b. This time, take t=10, p=1,000, r=0.06, and k=12 to get c. Take t=10, p=1,000, r=0.06, and k=365 to obtain d. For continuously compounded interest use the formula with t=10, p=1,000, and r=0.06: This value, $1,822.12, is an upper bound for the possible balance. No matter how often interest is compounded, $1,000 invested at an annual interest rate of 6% can not grow to more than $1, in 10 years.

15 Present Value( 现值 )

16

17 Example 3 Sue is about to enter college. When she graduates 4 years from now, she wants to take a trip to Europe that she estimates will cost $5,000. How much should she invest now at 7% to have enough for the trip if interest is compounded: a. Quarterly b. Continuously Solution: The required future value is F=$5,000 in t=4 years with r=0.07. a.If the compounding is quarterly, then k=4 and the present value is to be continued

18 b. For continuous compounding, the present value is Thus, Sue would have to invest about $9 more if interest is compounded quarterly than if the compounding is continuous.

19 指数增长和指数下降

20 Section 4.2 Logarithmic Functions( 对数函数 )

21

22 Example 4 Use logarithm rules to rewrite each of the following expressions in terms of. a. b. c. Solution: a. b. c.

23

24

25 Example 5 Solution:

26 Exponential function: series representation Let n=k/r Expand and take the limit, we get

27 Exponential & Logarithmic functions: important limits Lim (x  0) (exp(x) – 1 ) / x = 1  Or exp(x)  1 + x as x  0, and  Lim (x  0) ln(1+x) / x = 1 From these, we can prove  d/dx ( exp(x) ) = exp(x),  d/dx ( ln(x) ) = 1/x

28 Section 4.3 Differentiation of Logarithmic and Exponential Function Example 6 Solution:

29 Example 7

30 Solution:

31 Differentiate both sides of the equation

32 Example 8 Solution:

33

34 Solution: Example 9

35 Taking the derivatives of some complicated functions can be simplified by using logarithms. This is called logarithmic differentiation. Example 10 Solution: to be continued

36

37 Example 11 Differentiate each of these function a. b. Solution: a. To differentiate, we use logarithmic differentiation as follows: to be continued

38 b.

39

40

41 The relative rate of change of a quantity Q(x) can be computed by finding the derivative of lnQ.

42 Example 12 Solution: to be continued

43

44 Summary  Exponential Functions, Basic Properties of Exponential Functions, The Natural Exponential Base e.  Compound Interest, Continuously Compounded Interest, Present Value.  Exponential Growth and Decay.  Logarithmic Functions, The Natural Logarithm.  Differentiation of logarithmic and Exponential Functions.  Optimal holding time.

45 Trigonometric functions: a very important limit From this we can prove:

46 Derivatives of trigonometric functions Using the previous results we can derive  d/dx sin(x) = cos(x)  d/dx cos(x) = - sin(x)  d/dx tan(x) = ?  d/dx sec(x) = ?

47 Hyperbolic functions sinh (x) = ( exp(x) – exp(-x) )/ 2 cosh (x) = ( exp(x) + exp(-x) )/ 2 d/dx sinh(x) = cosh(x) d/dx cosh(x) = sinh(x)

Taylor’s Series/Expansion 48 If then the series is convergent to e x. Proof:

We get Expand Thus, Suppose that the function f(x) has continuous derivatives of orders 1, 2,..., k at x=0. Can we approximate f(x) by a power series?

50 Suppose f(x) is a function for which you know the value and the value of all its derivatives at some point x = a. What is the value of f at some nearby point, say x = a+h, where h is sufficiently small? For example, you are studying the motion of an object, and you have measured its current position and velocity, and maybe even its acceleration. If we take f(t) to be the position of the object at time t, f’ is its velocity, and f’’ is its acceleration, then we would like to determine how much we can know about the motion a short time later. Approximation by Increment

Taylor's Theorem 51

52 Taylor Series/Expansion The remainder can be written in a number of ways. The most useful form is that derived by J. L. Lagrange ( ), resulting in the Taylor formula with derivative remainder: where is some number between x and a

53 By repeating this integration by parts process on the remaining integral p times, one has the result: Taylor's formula with integral remainder, derived by Brook Taylor ( ) The last term is referred to as the remainder, R n (x)

Sulution Taylor into Taylor series of x. )(exf x  Expand Since thus Lagrange Residual Term: Obviously, For any real x, thus Therefore, the expansion is convergent to f(x)! 54

55 Useful expansion

56 Euler's formula named after Leonhard Euler, is a mathematical formula in complex analysis that establishes the deep relationship between the trigonometric functions and the complex exponential function. Euler's formula states that, for any real number x, Hence we can get:

57 Proof of Euler's formula In the last step we have simply recognized the Taylor series for sin(x) and cos(x). The rearrangement of terms is justified because each series is absolutely convergent.

58 Taylor Expansion Indeterminate forms: application of Taylor Expansion Expressions of the form 0/0, ∞/∞, 0 ×∞, ∞−∞, 0^∞ and ∞^0 are called indeterminate forms.

59 L ’ Hospital ’ s Rule – for indeterminate forms f’(x), g’(x) exist,

60

61 Examples:

Example: 62 Find the limit of as x  0 therefore Since

Power Series( 幂级数 ) : The expression as Special case : as x 0 =0 , i.e., expending at 0, it becomes Power series will be absolutely convergent within interval, and divergent within, i.e., its convergent interval is [x 0 -R , x 0 +R]. What is Power Series? Convergence ( 收敛性 ) of power series : Radius of Convergence 63

64 A seriesis said to converge absolutely if the series of absolute values converges. Absolute convergence and Conditional convergence A series of real or complex numbers is said to be conditionally convergent (or semi-convergent) if it is convergent but not absolutely convergent. A famous example is the alternating series:

Test of convergence: absolute ratio test 65 Given the series: and Then, if r < 1, the series converges absolutely. if r > 1, the series diverges. if r = 1, no conclusions can be drawn - series may converge or diverge. r

66 Test of convergence: comparison test # Comparison test 1: If ∑b(n) is an absolutely convergent series such that |a(n) | ≤ C |b(n) | for some number C and for sufficiently large n, then ∑a(n) converges absolutely as well. If ∑|b(n) | diverges, and |a(n) | ≥ |b(n) | for all sufficiently large n, then ∑a(n) also fails to converge absolutely. # Comparison test 2: If ∑b(n) is an absolutely convergent series such that |an+1 /an | ≤ |b(n+1) /b(n) | for sufficiently large n, then ∑a(n) converges absolutely as well. If ∑|b(n) | diverges, and |a(n+1) /a(n) | ≥ |b(n+1) /b(n) | for all sufficiently large n, then ∑a(n) also fails to converge absolutely (though it could still be conditionally convergent, e.g. if the a(n) alternate in sign).

Example: 67 r r =