
Modeling the Situation (applet)
An interactive environment is used to become familiar with the parameters involved and the range of results that can be obtained. 
Tasks
 A student strained her knee in an intramural volleyball game, and her doctor has prescribed an antiinflammatory drug to reduce the swelling. She is to take two 220mg tablets every 8 hours for 10 days. Her kidneys eliminate 60% of this drug from her body every 8 hours. Assume she faithfully takes the correct dosage at the prescribed regular intervals. The interactive figure below contains the initial dose (440), the elimination rate (0.60), and the recurring dose (440). Click on Calculate to generate values for the amount of medicine in her body just after taking each dose of medicine
The interactive figure calculates the amount of drug in the system just after taking a dose of medicine. You could also ask how much drug is in the body just before taking each dose. These values would be exactly 440 mg less than the values calculated just after taking each dose.
 How much of the drug is in her system after 10 days, just after she takes her last dose of medicine? If she continued to take the drug for a year, how much of the drug would be in her system just after she took her last dose?
 Does the amount of medicine in the body change faster around the fifth interval (about 40 hours after the initial dose) or around the twentyfifth interval? How can you tell? What happens to the change in the amount of medicine in the body as time progresses?
 Explain, in mathematical terms and in terms of body metabolism, why the longterm amount of medicine in the body is reasonable.
 Vary the initial dose, the elimination rate, and the recurring dose. What do you notice?
How to Use the Interactive Figure
The interactive figure calculates
the amount of medicine in a person's body immediately after taking a dose. In
this scenario, the individual takes an initial dose of medicine followed by
recurring doses, taken faithfully at fixed intervals of time. The interactive
figure allows the initial dose to be different from the recurring doses.
The simulation requires three
inputs:
 The initial dose—the
amount of medicine given for the initial dose
 The elimination rate—the
percent of medicine (given as a decimal) that the kidneys remove from the
system between doses
 The recurring dose—the
amount of the medicine to be given at fixed intervals
Click Calculate.
A(n) represents
the amount of medicine in the body immediately after taking the nth
recurring dose of medicine. So A(0) = initial dose, A(1) = amount
of medicine in body after first recurring dose, A(2) = amount
of medicine in body after second recurring dose, and so on.
This interactive figure calculates
the amount of drug in the system just after taking a dose of medicine.
If the amount of medicine in the body just before taking the nth
dose is desired, subtract the amount of the recurring dose (or initial dose
for n = 0) from the value calculated for A(n).
Discussion
The interactive figure in this example illustrates calculation features that can be implemented in spreadsheets or graphing calculators. Spreadsheets or calculators with iterative capabilities can be very useful for investigating and understanding change—whether it is due to growth or to decay. In computer and calculator spreadsheet programs, students have a powerful tool that permits them to calculate the results of multiple dynamic events quickly and accurately. The ease of calculation frees students to focus on the effect of changing one or more of the problem parameters. In this example, an athlete takes a constant dose of medicine at regular intervals. Using a calculator or a spreadsheet, students can determine the effect when changes are made in the initial dose, the recurring dose, or the percent of medicine eliminated from the body.
Obtaining explicit formulas that capture such effects is often quite difficult and in some cases, impossible. In order to have had the experience that will lead them to an appropriate closedform equation with which to model such situations, students generally must be at a fairly high level of mathematics. A recursive approach, especially when supported by a calculator or an electronic spreadsheet, gives students access to interesting problems such as this earlier in their schooling. It also informally introduces them to an important mathematical concept—limit.
In this initial phase of the investigation, students should recognize that the level of medicine in the body initially rises rapidly but with time increases less rapidly. Although one might question whether the accuracy of the recorded answer affects this observation, it appears that the level eventually stabilizes, so that after about seventeen periods, the value seems no longer to change. In other words, the athlete's body is eliminating the same amount of medication as she is taking. This observation can be mathematically verified by showing that (733 1/3)0.6 = 440.
As students play with the various parameters in the problem, they might make a number of observations. For example, the initial dose has no longterm effect; the level of medication still stabilizes at the same value, regardless of the value of the initial dose. Changing the recurring dose does change the level at which it stabilizes. This line of discussion is extended in the next part of the example.
Take Time to Reflect
 What are the advantages and disadvantages of defining the relationship recursively? How might a recursive definition link with other experiences that students have had?
 What particular problems does the concept of limit pose for students? How might this context help them begin to approach this important topic?
 In what ways does technology enhance this investigation? In what ways does it detract from it?
Reference
National Research Council. High School Mathematics at Work: Essays and Examples for the Education of All Students. Washington, D.C.: National Academy Press, 1998.
Also see:
 7.2 Using Graphs, Equations, and Tqables to Investigate the Elimination of Medicine from the Body
 7.2.2 Long Term Effect
 7.2.3 Graphing the Solution