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6.1 Introduction to Exponential and Logarithmic Functions

Of all of the functions we study in this text, exponential and logarithmic functions are possibly the ones which impact everyday life the most.1 This section introduces us to these functions while the rest of the chapter will more thoroughly explore their properties. Up to this point, we have dealt with functions which involve terms like x 2 or x 2 / 3 , in other words, terms of the form x p where the base of the term, x , varies but the exponent of each term, p , remains constant. In this chapter, we study functions of the form f ( x ) = b x where the base b is a constant and the exponent x is the variable. We start our exploration of these functions with f ( x ) = 2 x . (Apparently this is a tradition. Every College Algebra book we have ever read starts with f ( x ) = 2 x .) We make a table of values, plot the points and connect the dots in a pleasing fashion.

x f ( x ) ( x , f ( x ) ) 3 2 3 = 1 8 ( 3 , 1 8 ) 2 2 2 = 1 4 ( 2 , 1 4 ) 1 2 1 = 1 2 ( 1 , 1 2 ) 0 2 0 = 1 ( 0 , 1 ) 1 2 1 = 2 ( 1 , 2 ) 2 2 2 = 4 ( 2 , 4 ) 3 2 3 = 8 ( 3 , 8 )

Coordinate-plane figure.
Figure 6.1 y = f ( x ) = 2 x

A few remarks about the graph of f ( x ) = 2 x which we have constructed are in order. As x and attains values like x = 100 or x = 1000 , the function f ( x ) = 2 x takes on values like f ( 100 ) = 2 100 = 1 2 100 or f ( 1000 ) = 2 1000 = 1 2 1000 . In other words, as x ,

2 x 1 very big  ( + ) very small  ( + )

So as x , 2 x 0 + . This is represented graphically using the x -axis (the line y = 0 ) as a horizontal asymptote. On the flip side, as x , we find f ( 100 ) = 2 100 , f ( 1000 ) = 2 1000 , and so on, thus 2 x . As a result, our graph suggests the range of f is ( 0 , ) . The graph of f passes the Horizontal Line Test which means f is one-to-one and hence invertible. We also note that when we `connected the dots in a pleasing fashion', we have made the implicit assumption that f ( x ) = 2 x is continuous2 and has a domain of all real numbers. In particular, we have suggested that things like 2 3 exist as real numbers. We should take a moment to discuss what something like 2 3 might mean, and refer the interested reader to a solid course in Calculus for a more rigorous explanation. The number 3 = 1.73205 is an irrational number3 and as such, its decimal representation neither repeats nor terminates. We can, however, approximate 3 by terminating decimals, and it stands to reason4 we can use these to approximate 2 3 . For example, if we approximate 3 by 1.73 , we can approximate 2 3 2 1.73 = 2 173 100 = 2 173 100 . It is not, by any means, a pleasant number, but it is at least a number that we understand in terms of powers and roots. It also stands to reason that better and better approximations of 3 yield better and better approximations of 2 3 , so the value of 2 3 should be the result of this sequence of approximations.5

Suppose we wish to study the family of functions f ( x ) = b x . Which bases b make sense to study? We find that we run into difficulty if b < 0 . For example, if b = 2 , then the function f ( x ) = ( 2 ) x has trouble, for instance, at x = 1 2 since ( 2 ) 1 / 2 = 2 is not a real number. In general, if x is any rational number with an even denominator, then ( 2 ) x is not defined, so we must restrict our attention to bases b 0 . What about b = 0 ? The function f ( x ) = 0 x is undefined for x 0 because we cannot divide by 0 and 0 0 is an indeterminant form. For x > 0 , 0 x = 0 so the function f ( x ) = 0 x is the same as the function f ( x ) = 0 , x > 0 . We know everything we can possibly know about this function, so we exclude it from our investigations. The only other base we exclude is b = 1 , since the function f ( x ) = 1 x = 1 is, once again, a function we have already studied. We are now ready for our definition of exponential functions.

We leave it to the reader to verify6 that if b > 1 , then the exponential function f ( x ) = b x will share the same basic shape and characteristics as f ( x ) = 2 x . What if 0 < b < 1 ? Consider g ( x ) = ( 1 2 ) x . We could certainly build a table of values and connect the points, or we could take a step back and note that g ( x ) = ( 1 2 ) x = ( 2 1 ) x = 2 x = f ( x ) , where f ( x ) = 2 x . Thinking back to Section, the graph of f ( x ) is obtained from the graph of f ( x ) by reflecting it across the y -axis. We get

Coordinate-plane figure.
Figure 6.2 y = f ( x ) = 2 x

  multiply each  x -coordinate by  1 reflect across  y -axis

Coordinate-plane figure.
Figure 6.3 y = g ( x ) = 2 x = ( 1 2 ) x

We see that the domain and range of g match that of f , namely ( , ) and ( 0 , ) , respectively. Like f , g is also one-to-one. Whereas f is always increasing, g is always decreasing. As a result, as x , g ( x ) , and on the flip side, as x , g ( x ) 0 + . It shouldn't be too surprising that for all choices of the base 0 < b < 1 , the graph of y = b x behaves similarly to the graph of g . We summarize the basic properties of exponential functions in the following theorem.7

Of all of the bases for exponential functions, two occur the most often in scientific circles. The first, base 10 , is often called the common base. The second base is an irrational number, e 2.718 , called the natural base. We will more formally discuss the origins of this number in Section. For now, it is enough to know that since e > 1 , f ( x ) = e x is an increasing exponential function. The following examples give us an idea how these functions are used in the wild.

The function in the previous example is often called a `decay curve'. Increasing exponential functions are used to model `growth curves' and we shall see several different examples of those in Section. For now, we present another common decay curve which will serve as the basis for further study of exponential functions. Although it may look more complicated than the previous example, it is actually just a basic exponential function which has been modified by a few transformations from Section.

As we have already remarked, the graphs of f ( x ) = b x all pass the Horizontal Line Test. Thus the exponential functions are invertible. We now turn our attention to these inverses, the logarithmic functions, which are called `logs' for short.

We have special notations for the common base, b = 10 , and the natural base, b = e .

Since logs are defined as the inverses of exponential functions, we can use Theorems and to tell us about logarithmic functions. For example, we know that the domain of a log function is the range of an exponential function, namely ( 0 , ) , and that the range of a log function is the domain of an exponential function, namely ( , ) . Since we know the basic shapes of y = f ( x ) = b x for the different cases of b , we can obtain the graph of y = f 1 ( x ) = log b ( x ) by reflecting the graph of f across the line y = x as shown below. The y -intercept ( 0 , 1 ) on the graph of f corresponds to an x -intercept of ( 1 , 0 ) on the graph of f 1 . The horizontal asymptotes y = 0 on the graphs of the exponential functions become vertical asymptotes x = 0 on the log graphs.

Coordinate-plane figure.
Figure 6.10

\XYZfig 10

On a procedural level, logs undo the exponentials. Consider the function f ( x ) = 2 x . When we evaluate f ( 3 ) = 2 3 = 8 , the input 3 becomes the exponent on the base 2 to produce the real number 8 . The function f 1 ( x ) = log 2 ( x ) then takes the number 8 as its input and returns the exponent 3 as its output. In symbols, log 2 ( 8 ) = 3 . More generally, log 2 ( x ) is the exponent you put on 2 to get x . Thus, log 2 ( 16 ) = 4 , because 2 4 = 16 . The following theorem summarizes the basic properties of logarithmic functions, all of which come from the fact that they are inverses of exponential functions.

As we have mentioned, Theorem is a consequence of Theorems and. However, it is worth the reader's time to understand Theorem from an exponential perspective. For instance, we know that the domain of g ( x ) = log 2 ( x ) is ( 0 , ) . Why? Because the range of f ( x ) = 2 x is ( 0 , ) . In a way, this says everything, but at the same time, it doesn't. For example, if we try to find log 2 ( 1 ) , we are trying to find the exponent we put on 2 to give us 1 . In other words, we are looking for x that satisfies 2 x = 1 . There is no such real number, since all powers of 2 are positive. While what we have said is exactly the same thing as saying `the domain of g ( x ) = log 2 ( x ) is ( 0 , ) because the range of f ( x ) = 2 x is ( 0 , ) ', we feel it is in a student's best interest to understand the statements in Theorem at this level instead of just merely memorizing the facts.

Up until this point, restrictions on the domains of functions came from avoiding division by zero and keeping negative numbers from beneath even radicals. With the introduction of logs, we now have another restriction. Since the domain of f ( x ) = log b ( x ) is ( 0 , ) , the argument11 of the log must be strictly positive.

While logarithms have some interesting applications of their own which you'll explore in the exercises, their primary use to us will be to undo exponential functions. (This is, after all, how they were defined.) Our last example solidifies this and reviews all of the material in the section.

Exercises

In Exercises -, use the property: b a = c if and only if log b ( c ) = a from Theorem to rewrite the given equation in the other form. That is, rewrite the exponential equations as logarithmic equations and rewrite the logarithmic equations as exponential equations.

  1. 2 3 = 8
  2. 5 3 = 1 125
  3. 4 5 / 2 = 32
  4. ( 1 3 ) 2 = 9
  5. ( 4 25 ) 1 / 2 = 5 2
  6. 10 3 = 0.001
  7. e 0 = 1
  8. log 5 ( 25 ) = 2
  9. log 25 ( 5 ) = 1 2
  10. log 3 ( 1 81 ) = 4
  11. log 4 3 ( 3 4 ) = 1
  12. log ( 100 ) = 2
  13. log ( 0.1 ) = 1
  14. ln ( e ) = 1
  15. ln ( 1 e ) = 1 2
  16. log 3 ( 27 )
  17. log 6 ( 216 )
  18. log 2 ( 32 )
  19. log 6 ( 1 36 )
  20. log 8 ( 4 )
  21. log 36 ( 216 )
  22. log 1 5 ( 625 )
  23. log 1 6 ( 216 )
  24. log 36 ( 36 )
  25. log ( 1 1000000 )
  26. log ( 0.01 )
  27. ln ( e 3 )
  28. log 4 ( 8 )
  29. log 6 ( 1 )
  30. log 13 ( 13 )
  31. log 36 ( 36 4 )
  32. 7 log 7 ( 3 )
  33. 36 log 36 ( 216 )
  34. log 36 ( 36 216 )
  35. ln ( e 5 )
  36. log ( 10 11 9 )
  37. log ( 10 5 3 )
  38. ln ( 1 e )
  39. log 5 ( 3 log 3 ( 5 ) )
  40. log ( e ln ( 100 ) )
  41. log 2 ( 3 log 3 ( 2 ) )
  42. ln ( 42 6 log ( 1 ) )
  43. f ( x ) = ln ( x 2 + 1 )
  44. f ( x ) = log 7 ( 4 x + 8 )
  45. f ( x ) = ln ( 4 x 20 )
  46. f ( x ) = log ( x 2 + 9 x + 18 )
  47. f ( x ) = log ( x + 2 x 2 1 )
  48. f ( x ) = log ( x 2 + 9 x + 18 4 x 20 )
  49. f ( x ) = ln ( 7 x ) + ln ( x 4 )
  50. f ( x ) = ln ( 4 x 20 ) + ln ( x 2 + 9 x + 18 )
  51. f ( x ) = log ( x 2 + x + 1 )
  52. f ( x ) = log 4 ( x ) 4
  53. f ( x ) = log 9 ( | x + 3 | 4 )
  54. f ( x ) = ln ( x 4 3 )
  55. f ( x ) = 1 3 log 5 ( x )
  56. f ( x ) = 1 x log 1 2 ( x )
  57. f ( x ) = ln ( 2 x 3 x 2 + 13 x 6 )
  58. f ( x ) = 2 x , g ( x ) = 2 x 1
  59. f ( x ) = ( 1 3 ) x , g ( x ) = ( 1 3 ) x 1
  60. f ( x ) = 3 x , g ( x ) = 3 x + 2
  61. f ( x ) = 10 x , g ( x ) = 10 x + 1 2 20
  62. f ( x ) = e x , g ( x ) = 8 e x
  63. f ( x ) = e x , g ( x ) = 10 e 0.1 x
  64. f ( x ) = log 2 ( x ) , g ( x ) = log 2 ( x + 1 )
  65. f ( x ) = log 1 3 ( x ) , g ( x ) = log 1 3 ( x ) + 1
  66. f ( x ) = log 3 ( x ) , g ( x ) = log 3 ( x 2 )
  67. f ( x ) = log ( x ) , g ( x ) = 2 log ( x + 20 ) 1
  68. f ( x ) = ln ( x ) , g ( x ) = ln ( 8 x )
  69. f ( x ) = ln ( x ) , g ( x ) = 10 ln ( x 10 )
  70. Verify that each function in Exercises - is the inverse of the corresponding function in Exercises -. (Match up # and #, and so on.)
  71. f ( x ) = 3 x + 2 4
  72. f ( x ) = log 4 ( x 1 )
  73. f ( x ) = 2 x + 1
  74. f ( x ) = 5 log ( x ) 2
  75. Earthquakes are complicated events and it is not our intent to provide a complete discussion of the science involved in them. Instead, we refer the interested reader to a solid course in Geology13 or the U.S. Geological Survey's Earthquake Hazards Program found here and present only a simplified version of the Richter scale . The Richter scale measures the magnitude of an earthquake by comparing the amplitude of the seismic waves of the given earthquake to those of a “magnitude 0 event”, which was chosen to be a seismograph reading of 0.001 millimeters recorded on a seismometer 100 kilometers from the earthquake's epicenter. Specifically, the magnitude of an earthquake is given by

    M ( x ) = log ( x 0.001 )

    where x is the seismograph reading in millimeters of the earthquake recorded 100 kilometers from the epicenter.

    1. Show that M ( 0.001 ) = 0 .
    2. Compute M ( 80 , 000 ) .
    3. Show that an earthquake which registered 6.7 on the Richter scale had a seismograph reading ten times larger than one which measured 5.7.
    4. Find two news stories about recent earthquakes which give their magnitudes on the Richter scale. How many times larger was the seismograph reading of the earthquake with larger magnitude?
  76. While the decibel scale can be used in many disciplines,14 we shall restrict our attention to its use in acoustics, specifically its use in measuring the intensity level of sound.15 The Sound Intensity Level L (measured in decibels) of a sound intensity I (measured in watts per square meter) is given by

    L ( I ) = 10 log ( I 10 12 ) .

    Like the Richter scale, this scale compares I to baseline: 10 12 W m 2 is the threshold of human hearing.

    1. Compute L ( 10 6 ) .
    2. Damage to your hearing can start with short term exposure to sound levels around 115 decibels. What intensity I is needed to produce this level?
    3. Compute L ( 1 ) . How does this compare with the threshold of pain which is around 140 decibels?
  77. The pH of a solution is a measure of its acidity or alkalinity. Specifically, pH = log [ H + ] where [ H + ] is the hydrogen ion concentration in moles per liter. A solution with a pH less than 7 is an acid, one with a pH greater than 7 is a base (alkaline) and a pH of 7 is regarded as neutral.

    1. The hydrogen ion concentration of pure water is [ H + ] = 10 7 . Find its pH.
    2. Find the pH of a solution with [ H + ] = 6.3 × 10 13 .
    3. The pH of gastric acid (the acid in your stomach) is about 0.7 . What is the corresponding hydrogen ion concentration?
  78. Show that log b 1 = 0 and log b b = 1 for every b > 0 , b 1 .
  79. (Crazy bonus question) Without using your calculator, determine which is larger: e π or π e .

In Exercises -, evaluate the expression.

In Exercises -, find the domain of the function.

In Exercises -, sketch the graph of y = g ( x ) by starting with the graph of y = f ( x ) and using transformations. Track at least three points of your choice and the horizontal asymptote through the transformations. State the domain and range of g .

In Exercises -, sketch the graph of y = g ( x ) by starting with the graph of y = f ( x ) and using transformations. Track at least three points of your choice and the vertical asymptote through the transformations. State the domain and range of g .

In Exercises -, find the inverse of the function from the `procedural perspective' discussed in Example Example 5 and graph the function and its inverse on the same set of axes.

(Logarithmic Scales) In Exercises -, we introduce three widely used measurement scales which involve common logarithms: the Richter scale, the decibel scale and the pH scale. The computations involved in all three scales are nearly identical so pay attention to the subtle differences.

Answers

  1. log 2 ( 8 ) = 3
  2. log 5 ( 1 125 ) = 3
  3. log 4 ( 32 ) = 5 2
  4. log 1 3 ( 9 ) = 2
  5. log 4 25 ( 5 2 ) = 1 2
  6. log ( 0.001 ) = 3
  7. ln ( 1 ) = 0
  8. 5 2 = 25
  9. ( 25 ) 1 2 = 5
  10. 3 4 = 1 81
  11. ( 4 3 ) 1 = 3 4
  12. 10 2 = 100
  13. 10 1 = 0.1
  14. e 1 = e
  15. e 1 2 = 1 e
  16. log 3 ( 27 ) = 3
  17. log 6 ( 216 ) = 3
  18. log 2 ( 32 ) = 5
  19. log 6 ( 1 36 ) = 2
  20. log 8 ( 4 ) = 2 3
  21. log 36 ( 216 ) = 3 2
  22. log 1 5 ( 625 ) = 4
  23. log 1 6 ( 216 ) = 3
  24. log 36 ( 36 ) = 1
  25. log 1 1000000 = 6
  26. log ( 0.01 ) = 2
  27. ln ( e 3 ) = 3
  28. log 4 ( 8 ) = 3 2
  29. log 6 ( 1 ) = 0
  30. log 13 ( 13 ) = 1 2
  31. log 36 ( 36 4 ) = 1 4
  32. 7 log 7 ( 3 ) = 3
  33. 36 log 36 ( 216 ) = 216
  34. log 36 ( 36 216 ) = 216
  35. ln ( e 5 ) = 5
  36. log ( 10 11 9 ) = 11 9
  37. log ( 10 5 3 ) = 5 3
  38. ln ( 1 e ) = 1 2
  39. log 5 ( 3 log 3 5 ) = 1
  40. log ( e ln ( 100 ) ) = 2
  41. log 2 ( 3 log 3 ( 2 ) ) = 1
  42. ln ( 42 6 log ( 1 ) ) = 0
  43. ( , )
  44. ( 2 , )
  45. ( 5 , )
  46. ( , 6 ) ( 3 , )
  47. ( 2 , 1 ) ( 1 , )
  48. ( 6 , 3 ) ( 5 , )
  49. ( 4 , 7 )
  50. ( 5 , )
  51. ( , )
  52. [ 1 , )
  53. ( , 7 ) ( 1 , )
  54. ( 13 , )
  55. ( 0 , 125 ) ( 125 , )
  56. No domain
  57. ( , 3 ) ( 1 2 , 2 )
  58. Domain of g : ( , ) Range of g : ( 1 , )

    Coordinate-plane figure.
    Figure 6.21 y = g ( x ) = 2 x 1
  59. Domain of g : ( , ) Range of g : ( 0 , )

    Coordinate-plane figure.
    Figure 6.22 y = g ( x ) = ( 1 3 ) x 1
  60. Domain of g : ( , ) Range of g : ( 2 , )

    Coordinate-plane figure.
    Figure 6.23 y = g ( x ) = 3 x + 2
  61. Domain of g : ( , ) Range of g : ( 20 , )

    Coordinate-plane figure.
    Figure 6.24 y = g ( x ) = 10 x + 1 2 20
  62. Domain of g : ( , ) Range of g : ( , 8 )

    Coordinate-plane figure.
    Figure 6.25 y = g ( x ) = 8 e x
  63. Domain of g : ( , ) Range of g : ( 0 , )

    Coordinate-plane figure.
    Figure 6.26 y = g ( x ) = 10 e 0.1 x
  64. Domain of g : ( 1 , ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.27 y = g ( x ) = log 2 ( x + 1 )
  65. Domain of g : ( 0 , ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.28 y = g ( x ) = log 1 3 ( x ) + 1
  66. Domain of g : ( 2 , ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.29 y = g ( x ) = log 3 ( x 2 )
  67. Domain of g : ( 20 , ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.30 y = g ( x ) = 2 log ( x + 20 ) 1
  68. Domain of g : ( , 8 ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.31 y = g ( x ) = ln ( 8 x )
  69. Domain of g : ( 0 , ) Range of g : ( , )

    Coordinate-plane figure.
    Figure 6.32 y = g ( x ) = 10 ln ( x 10 )
  70. f ( x ) = 3 x + 2 4 f 1 ( x ) = log 3 ( x + 4 ) 2

    Coordinate-plane figure.
    Figure 6.33
  71. f ( x ) = log 4 ( x 1 ) f 1 ( x ) = 4 x + 1

    Coordinate-plane figure.
    Figure 6.34
  72. f ( x ) = 2 x + 1 f 1 ( x ) = log 2 ( 1 x )

    Coordinate-plane figure.
    Figure 6.35
  73. f ( x ) = 5 log ( x ) 2 f 1 ( x ) = 10 x + 2 5

    Coordinate-plane figure.
    Figure 6.36
    1. M ( 0.001 ) = log ( 0.001 0.001 ) = log ( 1 ) = 0 .
    2. M ( 80 , 000 ) = log ( 80 , 000 0.001 ) = log ( 80 , 000 , 000 ) 7.9 .
    1. L ( 10 6 ) = 60 decibels.
    2. I = 10 .5 0.316 watts per square meter.
    3. Since L ( 1 ) = 120 decibels and L ( 100 ) = 140 decibels, a sound with intensity level 140 decibels has an intensity 100 times greater than a sound with intensity level 120 decibels.
    1. The pH of pure water is 7.
    2. If [ H + ] = 6.3 × 10 13 then the solution has a pH of 12.2.
    3. [ H + ] = 10 0.7 .1995 moles per liter.

Adapted from Precalculus, 3rd corrected edition, by Carl Stitz and Jeff Zeager (stitz-zeager.com), licensed under CC BY-NC-SA 3.0. Changes were made: reformatted as an accessible XYZ web edition. License: CC-BY-NC-SA-3.0.