World Population
Growth
Part 2:
The Coalition Model
The von Foerster paper argues
that the differential equation modeling growth of world population P
as a function of time t might have the form
dP/dt = k P1+r,
where r and k
are positive constants. Before attempting to solve this differential equation,
we explore whether it can reasonably represent the historical data. Our
approach will be similar to that used in the module Warming,
Cooling, and Urban Ozone Pollution.
The model asserts that the
rate of change (derivative) of P should be proportional to
a power of P, that is, the rate of change should be a power
function of P. We can test that assertion by looking at a log-log
plot of dP/dt versus P. But first we have to estimate the
rate of change from the data. As in the Ozone module,
we do this by calculating symmetric difference quotients.
- Explain why (Pi+1
- Pi-1) / (ti+1 - ti-1) is a good
estimate of dP/dt at t = ti. (If necessary, review
your work in Part 1 of the Ozone module.)
- Construct the symmetric
difference quotients (SDQ) approximating dP/dt from the historical
data.
- Construct a log-log plot
of SDQ versus population. Decide whether you think it is possible that
dP/dt is a power function of P. Keep in mind that we have
only very crude approximations to values of dP/dt, and many of them
are constructed on intervals that are not symmetric about the corresponding
year.
- Whatever you think about
the linearity of the log-log plot, use your helper application's least
squares procedure to find the best fitting line. From the slope and intercept
of the best-fitting line, calculate values of the r and k.
- Now construct a slope field
for the model differential equation (as in the Slope
Fields module), and add a sample solution passing through one of the
data points. Experiment with the selected data point to see if it makes
any difference in the shape of the solution.
- Add a plot of the data
points to your slope field plot. Now what do you think about the Coalition
Model as a description of the historical data?
Send comments to the
authors <modules at math.duke.edu>
Last modified: December
2, 1997