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3  Exponential Functions  Logarithmic Functions  Exponential Functions as Mathematical Models Exponential and Logarithmic Functions.

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Presentation on theme: "3  Exponential Functions  Logarithmic Functions  Exponential Functions as Mathematical Models Exponential and Logarithmic Functions."— Presentation transcript:

1 3  Exponential Functions  Logarithmic Functions  Exponential Functions as Mathematical Models Exponential and Logarithmic Functions

2 3.1 Exponential Functions

3 Exponential Function  The function defined by is called an exponential function with base b and exponent x.  The domain of f is the set of all real numbers.

4 Example  The exponential function with base 2 is the function with domain (– ,  ).  The values of f(x) for selected values of x follow:

5 Example  The exponential function with base 2 is the function with domain (– ,  ).  The values of f(x) for selected values of x follow:

6 Laws of Exponents  Let a and b be positive numbers and let x and y be real numbers. Then, 1. 1. 2. 2. 3. 3. 4. 4. 5. 5.

7 Examples  Let f(x) = 2 2x – 1. Find the value of x for which f(x) = 16. Solution  We want to solve the equation 2 2x – 1 = 16 = 2 4  But this equation holds if and only if 2x – 1 = 4 giving x =.

8 Examples  Sketch the graph of the exponential function f(x) = 2 x. Solution  First, recall that the domain of this function is the set of real numbers.  Next, putting x = 0 gives y = 2 0 = 1, which is the y-intercept. (There is no x-intercept, since there is no value of x for which y = 0)

9 Examples  Sketch the graph of the exponential function f(x) = 2 x. Solution  Now, consider a few values for x:  Note that 2 x approaches zero as x decreases without bound: ✦ There is a horizontal asymptote at y = 0.  Furthermore, 2 x increases without bound when x increases without bound.  Thus, the range of f is the interval (0,  ). x – 5 – 4 – 3 – 2 – 1 012345 y1/321/161/81/41/212481632

10 Examples  Sketch the graph of the exponential function f(x) = 2 x. Solution  Finally, sketch the graph: x y – 2 2 – 2 2 42 f(x) = 2 x

11 Examples  Sketch the graph of the exponential function f(x) = (1/2) x. Solution  First, recall again that the domain of this function is the set of real numbers.  Next, putting x = 0 gives y = (1/2) 0 = 1, which is the y-intercept. (There is no x-intercept, since there is no value of x for which y = 0)

12 Examples  Sketch the graph of the exponential function f(x) = (1/2) x. Solution  Now, consider a few values for x:  Note that (1/2) x increases without bound when x decreases without bound.  Furthermore, (1/2) x approaches zero as x increases without bound: there is a horizontal asymptote at y = 0.  As before, the range of f is the interval (0,  ). x – 5 – 4 – 3 – 2 – 1 012345 y321684211/21/41/81/161/32

13 Examples  Sketch the graph of the exponential function f(x) = (1/2) x. Solution  Finally, sketch the graph: x y – 2 2 – 2 2 42 f(x) = (1/2) x

14 Examples  Sketch the graph of the exponential function f(x) = (1/2) x. Solution  Note the symmetry between the two functions: x y – 2 2 4242 f(x) = (1/2) x f(x) = 2 x

15 Properties of Exponential Functions  The exponential function y = b x (b > 0, b ≠ 1) has the following properties: 1.Its domain is (– ,  ). 2.Its range is (0,  ). 3.Its graph passes through the point (0, 1) 4.It is continuous on (– ,  ). 5.It is increasing on (– ,  ) if b > 1 and decreasing on (– ,  ) if b 1 and decreasing on (– ,  ) if b < 1.

16 The Base e  Exponential functions to the base e, where e is an irrational number whose value is 2.7182818…, play an important role in both theoretical and applied problems.  It can be shown that

17 Examples  Sketch the graph of the exponential function f(x) = e x. Solution  Since e x > 0 it follows that the graph of y = e x is similar to the graph of y = 2 x.  Consider a few values for x: x – 3 – 2 – 1 0123 y0.050.140.3712.727.3920.09

18 531Examples  Sketch the graph of the exponential function f(x) = e x. Solution  Sketching the graph: x y – 3 – 11 3 – 3 – 11 3 f(x) = e x

19 Examples  Sketch the graph of the exponential function f(x) = e –x. Solution  Since e –x > 0 it follows that 0 0 it follows that 0 < 1/e < 1 and so f(x) = e –x = 1/e x = (1/e) x is an exponential function with base less than 1. f(x) = e –x = 1/e x = (1/e) x is an exponential function with base less than 1.  Therefore, it has a graph similar to that of y = (1/2) x.  Consider a few values for x: x – 3 – 2 – 1 0123 y20.097.392.7210.370.140.05

20 531531Examples  Sketch the graph of the exponential function f(x) = e –x. Solution  Sketching the graph: x y – 3 – 11 3 f(x) = e –x

21 3.2 Logarithmic Functions

22 Logarithms  We’ve discussed exponential equations of the form y = b x (b > 0, b ≠ 1)  But what about solving the same equation for y?  You may recall that y is called the logarithm of x to the base b, and is denoted log b x. ✦ Logarithm of x to the base b y = log b x if and only if x = b y (x > 0)

23 Examples  Solve log 3 x = 4 for x: Solution  By definition, log 3 x = 4 implies x = 3 4 = 81.

24 Examples  Solve log 16 4 = x for x: Solution  log 16 4 = x is equivalent to 4 = 16 x = (4 2 ) x = 4 2x, or 4 1 = 4 2x, from which we deduce that

25 Examples  Solve log x 8 = 3 for x: Solution  By definition, we see that log x 8 = 3 is equivalent to

26 Logarithmic Notation log x= log 10 x Common logarithm ln x= log e x Natural logarithm

27 Laws of Logarithms  If m and n are positive numbers, then 1. 1. 2. 2. 3. 3. 4. 4. 5. 5.

28 Examples  Given that log 2 ≈ 0.3010, log 3 ≈ 0.4771, and log 5 ≈ 0.6990, use the laws of logarithms to find

29 Examples

30 Examples

31 Examples

32 Examples  Expand and simplify the expression:

33 Examples

34 Examples

35 Examples  Use the properties of logarithms to solve the equation for x: Law 2 Definition of logarithms

36 Examples  Use the properties of logarithms to solve the equation for x: Laws 1 and 2 Definition of logarithms

37 Logarithmic Function  The function defined by is called the logarithmic function with base b.  The domain of f is the set of all positive numbers.

38 Properties of Logarithmic Functions  The logarithmic function y = log b x(b > 0, b ≠ 1) has the following properties: 1.Its domain is (0,  ). 2.Its range is (– ,  ). 3.Its graph passes through the point (1, 0). 4.It is continuous on (0,  ). 5.It is increasing on (0,  ) if b > 1 and decreasing on (0,  ) if b 1 and decreasing on (0,  ) if b < 1.

39 Example  Sketch the graph of the function y = ln x. Solution  We first sketch the graph of y = e x. 1 x y 1 y = e x y = ln x y = x  The required graph is the mirror image of the graph of y = e x with respect to the line y = x:

40 Properties Relating Exponential and Logarithmic Functions  Properties relating e x and ln x: e ln x = x(x > 0) ln e x = x (for any real number x)

41 Examples  Solve the equation 2e x + 2 = 5. Solution  Divide both sides of the equation by 2 to obtain:  Take the natural logarithm of each side of the equation and solve:

42 Examples  Solve the equation 5 ln x + 3 = 0. Solution  Add – 3 to both sides of the equation and then divide both sides of the equation by 5 to obtain: and so:

43 3.3 Exponential Functions as Mathematical Models 1.Growth of bacteria 2.Radioactive decay 3.Assembly time

44 Applied Example: Growth of Bacteria  In a laboratory, the number of bacteria in a culture grows according to where Q 0 denotes the number of bacteria initially present in the culture, k is a constant determined by the strain of bacteria under consideration, and t is the elapsed time measured in hours.  Suppose 10,000 bacteria are present initially in the culture and 60,000 present two hours later.  How many bacteria will there be in the culture at the end of four hours?

45 Applied Example: Growth of Bacteria Solution  We are given that Q(0) = Q 0 = 10,000, so Q(t) = 10,000e kt.  At t = 2 there are 60,000 bacteria, so Q(2) = 60,000, thus:  Taking the natural logarithm on both sides we get:  So, the number of bacteria present at any time t is given by:

46 Applied Example: Growth of Bacteria Solution  At the end of four hours (t = 4), there will be or 360,029 bacteria.

47 Applied Example: Radioactive Decay  Radioactive substances decay exponentially.  For example, the amount of radium present at any time t obeys the law where Q 0 is the initial amount present and k is a suitable positive constant.  The half-life of a radioactive substance is the time required for a given amount to be reduced by one-half.  The half-life of radium is approximately 1600 years.  Suppose initially there are 200 milligrams of pure radium. a.Find the amount left after t years. b.What is the amount after 800 years?

48 Applied Example: Radioactive Decay Solution a.Find the amount left after t years. The initial amount is 200 milligrams, so Q(0) = Q 0 = 200, so Q(t) = 200e –kt The half-life of radium is 1600 years, so Q(1600) = 100, thus

49 Applied Example: Radioactive Decay Solution a.Find the amount left after t years. Taking the natural logarithm on both sides yields: Therefore, the amount of radium left after t years is:

50 Applied Example: Radioactive Decay Solution b.What is the amount after 800 years? In particular, the amount of radium left after 800 years is: or approximately 141 milligrams. or approximately 141 milligrams.

51 Applied Example: Assembly Time  The Camera Division of Eastman Optical produces a single lens reflex camera.  Eastman’s training department determines that after completing the basic training program, a new, previously inexperienced employee will be able to assemble model F cameras per day, t months after the employee starts work on the assembly line. a.How many model F cameras can a new employee assemble per day after basic training? b.How many model F cameras can an employee with one month of experience assemble per day? c.How many model F cameras can the average experienced employee assemble per day?

52 Applied Example: Assembly Time Solution a.The number of model F cameras a new employee can assemble is given by b.The number of model F cameras that an employee with 1, 2, and 6 months of experience can assemble per day is given by or about 32 cameras per day. c.As t increases without bound, Q(t) approaches 50. Hence, the average experienced employee can be expected to assemble 50 model F cameras per day.

53 End of Chapter


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