Linear Models

Missing photograph

Barren Island

The mathematical title of this module is Linear Models. We use the term "linear" in this module in a different way than in the preceding module.

These models can fulfill many different purposes in the middle and high school curriculum. They are simple, yet rich, and can be used to help students learn some very important mathematics. In particular, they lend themselves to numerical, graphical, and symbolic study. Graphs involving linear models are very easy to draw by hand and give students a solid foundation for working with graphs later that are best drawn using a computer or graphing calculator. In addition, linear models are used to study many important real-world phenomena. We look at three examples.

Population Models Involving Immigration

Missing photograph

Lush Mainland

We begin with a barren island off the coast of a lush mainland. We are interested in a particular species of birds that nests on this island. Unfortunately the island habitat is so unfavorable that if the birds were isolated on the island their population would drop 20% each year and could be described by the exponential model.

pn+1 = 0.80 pn.

There is a thriving colony of birds on the nearby lush mainland and each year 1,000 birds from the lush mainland migrate to the barren island. Thus, the population change on the island can be described by the model

pn+1 = 0.80 pn + 1,000.

Notice that this is a linear model in the sense that we are using the word "linear" in this module and from now on.



We can write this model as

pn+1 = f(pn)

or

pn = f(pn-1)

where

f(p) = 0.80 p + 1,000

This is a particularly good way of looking at this model because it focuses our attention on the function

f(p) = 0.80 p + 1,000

that describes how each year's population is determined by the population during the preceding year. Notice that this function is linear. This is the reason that this kind of model is called a linear model.

The graph below shows the function f(p) in red and the function g(p) = p in black. The function g(p) = p is the function we would use if the population did not change from one year to the next.

Missing graph

Notice that the two graphs cross at the point p = 5,000. This point is called an equilibrium point because next year's population is the same as the current population.

The graph above shows how we can determine this equilibrium point graphically by finding the point at which the function f(p) crosses the diagonal line g(p). This determination can be very accurate since the graph of f(p) is a straight line and thus is easy to draw.

We can verify that p = 5,000 is an equilibrium point numerically by computing

f(5,000) = 0.80 * 5,000 + 1,000 = 4,000 + 1,000 = 5,000

and we can find this equilibrium point algebraically by solving the equation

p = f(p)

p = 0.80 * p + 1,000

0.20 * p = 1,000

p = 5,000


For each of the following linear models find the equilibrium point graphically and algebraically and verify that your answer is correct numerically.


The Natural Cleaning of a Polluted Lake

Next we turn our attention to a lake that has been polluted. We suppose that the lake was polluted by someone who has been caught and that no additional pollutant will be added in the future. Suppose the present level of pollution is

p1 = 20 ppm.

The abbreviation ppm stands for parts per million.

Suppose that our lake is part of a chain of lakes connected by rivers and that each year 10% of the water in the lake flows downstream and is replaced by clean water from the lakes upstream and from rainfall. This leads to the model

pn = 0.90 pn-1.



In practice, the water flowing into a lake like the lake above is rarely completely free of the pollutant. If the level of pollution in the water flowing into the lake is b ppm then the model above would be replaced by

pn = 0.90 pn-1 + 0.10 b.


Explore the model above.

[Next section -- Cobweb Diagrams]


Copyright c 1997 by Frank Wattenberg, Department of Mathematics, Montana State University, Bozeman, MT 59717