Chapter 6
Antidifferentiation





6.3 The Logistic Growth Differential Equation

Section Summary

In this section we derived symbolic representations for solutions of the logistic growth differential equation:

d P d t = k P ( M - P ) .

In the process we developed a new approach to finding antiderivatives — an approach that uses the technique of rewriting quotients of polynomials as sums of simpler quotients. One form of our symbolic solution,

P = P 0 M ( M - P 0 ) e - M k t + P 0 ,

exhibits again the role of negative exponentials in expressions that approach a limiting value as `t` becomes large.

We also saw that we could use an intermediate step in the separation-of-variables solution,

1 M ln P M - P = k t + C ,

to test whether data fit a logistic growth pattern.

Go to Back One Page Go Forward One Page

Contents for Chapter 6