In this chapter we will learn about rational functions, which are ratios of two polynomial functions. Creating this ratio inherently requires division, and weโll explore the effect this has on the graphs of rational functions and their domain and range.
where gives the drugโs concentration, in milligrams per liter, hours since the injection. A new injection is needed when the concentration falls to milligrams per liter. Using graphing technology, we will graph and to examine the situation and answer some important questions.
After how many hours since the first injection is the drug concentration greatest?
After how many hours since the first injection should the next injection be given?
What happens to the drug concentration if no further injections are given?
Explanation.
To determine the concentration after 10 hours, we will evaluate at . After hours, the concentration will be about 0.2777 mgโL.
Using the graph, we can see that the maximum concentration of the drug will be 0.53 mgโL and will occur after about hours.
The approximate points of intersection and tell us that the concentration of the drug will reach 0.35 mgโL after about hours and again after about hours. Given the rising, then falling shape of the graph, this means that another dose will need to be administered after about hours.
From the initial graph, it appears that the concentration of the drug will diminish to zero with enough time passing. Exploring further, we can see both numerically and graphically that for larger and larger values of , the function values get closer and closer to zero. This is shown in Figure 4 and Figure 5.
Note that extra points were chosen near in the Figure 9, but itโs still not clear on the graph what happens really close to . It will be essential that we include at least one -value between and and also between and .
Further, weโll note that dividing one number by a number that is close to yields a large number. For example, . In fact, the smaller the number is that we divide by, the larger our result becomes. So when gets closer and closer to , then gets closer and closer to . And then takes very large values.
When we plot additional points closer and closer to , we get larger and larger results. To the left of , the results are negative, so the connected curve has an arrow pointing downward there. The opposite happens to the right of , and an arrow points upward. Weโll also draw the vertical line as a dashed line to indicate that the graph never actually touches it.
Note that in Figure 12, the line was also drawn as a dashed line. This is because the values of will get closer and closer to zero as the inputs become more and more positive (or negative).
We know that the domain of this function is as the function is undefined at . We can determine this algebraically, and it is also evident in the graph.
We can see from the graph that the range of the function is . See Checkpoint 11.2.26 for a discussion of how to see the range using a graph like this one.
The line in Example 8 is referred to as a vertical asymptote. The line is referred to as a horizontal asymptote. Weโll use this vocabulary when referencing such lines, but the classification of vertical asymptotes and horizontal asymptotes is beyond the scope of this book.
Algebraically find the domain of . Use technology to sketch a graph of this function.
Explanation.
To find a rational functionโs domain, we set the denominator equal to and solve:
oror
Since and will cause the denominator to be , they are excluded from the domain. The functionโs domain is . In interval notation, the domain is .
To begin creating this graph, weโll use technology to create a table of function values, making sure to include values near both and . Weโll sketch an initial plot of these.
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Figure12.1.15.Numerical Values for
Figure12.1.16.Initial Set-Up to Graph
We can now begin to see what happens near and . These are referred to as vertical asymptotes and will be graphed as dashed vertical lines as they are features of the graph but do not include function values.
The last thing we need to consider is what happens for large positive values of and large negative values of . Choosing a few values, we find:
Figure12.1.17.Values for Large Positive
Figure12.1.18.Values for Large Negative
Thus for really large positive and for really large negative , we see that the function values get closer and closer to . This is referred to as the horizontal asymptote, and will be graphed as a dashed horizontal line on the graph.
Putting all of this together, we can sketch a graph of this function.
The monthly operation cost of Saquiโs shoe company is approximately . The cost of producing each pair of shoes is . As a result, the cost of producing pairs of shoes is dollars, and the average cost of producing each pair of shoes can be modeled by
Whatโs the average cost of producing pairs of shoes? Of producing pairs? Of producing pairs? Whatโs the pattern?
To make the average cost of producing each pair of shoes cheaper than , at least how many pairs of shoes must Saquiโs company produce?
Assume that her companyโs shoes are very popular. What happens to the average cost of producing shoes if more and more people keep buying them?
Explanation.
We will graph the function with technology. After adjusting window settings, we have:
Figure12.1.22.Graph of
To answer this question, we locate the points where values are , and . They are and . They imply:
If the company produces pairs of shoes, the average cost of producing one pair is .
If the company produces pairs of shoes, the average cost of producing one pair is .
If the company produces pairs of shoes, the average cost of producing one pair is .
We can see the more shoes her company produces, the lower the average cost.
To answer this question, we locate the point where its -value is . With technology, we graph both and , and locate their intersection.
Figure12.1.23.Intersection of and
The intersection implies the average cost of producing one pair is if her company produces pairs of shoes.
To answer this question, we substitute with some large numbers, and use technology to create a table of values:
Figure12.1.24.Values for Large Positive
We can estimate that the average cost of producing one pair is getting closer and closer to as her company produces more and more pairs of shoes.
Note that the cost of producing each pair is . This implies, for big companies whose products are very popular, the cost of operations can be ignored when calculating the average cost of producing each unit of product.
In a certain store, cashiers can serve customers per hour on average. If customers arrive at the store in a given hour, then the average number of customers waiting in line can be modeled by the function
In a certain store, cashiers can serve customers per hour on average. If customers arrive at the store in a given hour, then the average number of customers waiting in line can be modeled by the function
The concentration of a drug in a patientโs blood stream, in milligrams per liter, can be modeled by the function , where is the number of hours since the drug is injected. Answer the following question with technology.
The concentration of a drug in a patientโs blood stream, in milligrams per liter, can be modeled by the function m>, with , where is the number of hours since the drug is injected. Use technology to complete the following sentence.
The concentration of a drug in a patientโs blood stream, in milligrams per liter, can be modeled by the function , where is the number of hours since the drug is injected. Answer the following question with technology.
The concentration of a drug in a patientโs blood stream, in milligrams per liter, can be modeled by the function , where is the number of hours since the drug is injected. Answer the following question with technology.