In Section 7.1, we saw exponential functions are are one-to-one which means they are invertible. In this section, we explore their inverses, the logarithmic functions which are called `logs' for short.
We have special notations for the common base, , and the natural base, .
Since logs are defined as the inverses of exponential functions, we can use Theorems 5.13 and 7.1 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 , and that the range of a log function is the domain of an exponential function, namely .
Moreover, since we know the basic shapes of for the different cases of , we can obtain the graph of by reflecting the graph of across the line . The -intercept on the graph of corresponds to an -intercept of on the graph of . The horizontal asymptotes on the graphs of the exponential functions become vertical asymptotes on the log graphs.
Figure 7.28Figure 7.29
Procedurally, logarithmic functions `undo' the exponential functions. Consider the function . When we evaluate , the input becomes the exponent on the base to produce the real number . The function then takes the number as its input and returns the exponent as its output. In symbols, .
More generally, is the exponent you put on to get . Thus, , because . 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 7.3 is a consequence of Theorems 5.13 and 7.1. However, it is worth the reader's time to understand Theorem 7.3 from an exponent perspective.
As an example, we know that the domain of is . Why? Because the range of is . In a way, this says everything, but at the same time, it doesn't.
To really understand why the domain of is , consider trying to compute . We are searching for the exponent we put on to give us . In other words, we are looking for that satisfies . There is no such real number, since all powers of are positive.
While what we have said is exactly the same thing as saying `the domain of is because the range of is ', we feel it is in a student's best interest to understand the statements in Theorem 7.3 at this level instead of just merely memorizing the facts.
Our first example gives us practice computing logarithms as well as constructing basic graphs.
Up until this point, restrictions on the domains of functions came from avoiding division by zero and keeping negative numbers from beneath even indexed radicals. With the introduction of logs, we now have another restriction. Since the domain of is , the argument of the log3 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 reviews not only the major topics of this section, but reviews the salient points from Section 5.6.
Exercises
In Exercises -, use the property: if and only if from Theorem 7.3 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.
In Exercises -, evaluate the expression without using a calculator.
In Exercises -, find the domain of the function.
In Exercises -, sketch the graph of by starting with the graph of and using transformations. Track at least three points of your choice and the vertical asymptote through the transformations. State the domain and range of .
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Verify that each function in Exercises - is the inverse of the corresponding function in Exercises - in Section 7.1. (Match up # and #, and so on.)
In Exercises, -, the graph of a logarithmic function is given. Find a formula for the function in the form .
Points: , , , Asymptote: .
Figure 7.45
Points: , , Asymptote: .
Figure 7.46
Points: , , , Asymptote: .
Figure 7.47
Points: , , , Asymptote: .
Figure 7.48
Find a formula for each graph in Exercises - of the form .
In Exercises -, find the inverse of the function from the `procedural perspective' discussed in Example 7.2.3 and graph the function and its inverse on the same set of axes.
In Exercises -, write the given function as a nontrivial decomposition of functions as directed.
For , find functions and so that .
For , find functions and so that .
For , find functions and so that .
For , find functions and so .
For , find functions and so that .
For , find functions and so .
(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.
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 Geology5 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 millimeters recorded on a seismometer 100 kilometers from the earthquake's epicenter. Specifically, the magnitude of an earthquake is given by
where is the seismograph reading in millimeters of the earthquake recorded 100 kilometers from the epicenter.
Show that .
Compute .
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.
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?
While the decibel scale can be used in many disciplines,6 we shall restrict our attention to its use in acoustics, specifically its use in measuring the intensity level of sound. The Sound Intensity Level (measured in decibels) of a sound intensity (measured in watts per square meter) is given by
Like the Richter scale, this scale compares to baseline: is the threshold of human hearing.
Compute .
Damage to your hearing can start with short term exposure to sound levels around 115 decibels. What intensity is needed to produce this level?
Compute . How does this compare with the threshold of pain which is around 140 decibels?
The pH of a solution is a measure of its acidity or alkalinity. Specifically, where 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.
The hydrogen ion concentration of pure water is . Find its pH.
Find the pH of a solution with .
The pH of gastric acid (the acid in your stomach) is about . What is the corresponding hydrogen ion concentration?
Use the definition of logarithm to explain why and for every .
Answers
No domain
Domain of : Range of : Points: , , Asymptote:
Figure 7.49
Domain of : Range of : Points: , , Asymptote:
Figure 7.50
Domain of : Range of : Points: , , Asymptote:
Figure 7.51
Domain of : Range of : Points: , , Asymptote:
Figure 7.52
Domain of : Range of : Points: , , Asymptote:
Figure 7.53
Domain of : Range of : Points: , , Asymptote:
Figure 7.54
Domain of : Range of : Points: , , Asymptote:
Figure 7.55
Domain of : Range of : Points:
, Asymptote:
Figure 7.56
In order, the formulas for are:
Figure 7.57
Figure 7.58
Figure 7.59
Figure 7.60
One solution is and .
One solution is and .
One solution is and .
One solution is and .
One solution is and .
One solution is and .
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.
decibels.
watts per square meter.
Since decibels and decibels, a sound with intensity level 140 decibels has an intensity 100 times greater than a sound with intensity level 120 decibels.
The pH of pure water is 7.
If then the solution has a pH of 12.2.
moles per liter.
Adapted from Precalculus, Preliminary 4th Edition (integrated calculus), 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.
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