You should use one of the computer algebra systems below with this module. Click on the appropriate icon for your preferred CAS and then arrange your screen so that you can easily move back-and-forth between this window and your CAS window. Click on the appropriate help button for help.
Before beginning this module you may want to review our work with
The purpose of this modules is for you to discover how to determine if an equilibrium point of a dynamical system
p(n + 1) = f(p(n))
is attracting.
We begin by looking at the simplest examples -- linear dynamical systems in which the function f(p) is linear -- that is, dynamical systems of the form
p(n + 1) = m p(n) + b
These models are particularly easy to work with because they have only one equilibrium point, found by solving the equation
Actually there is one exception. If m = 1 then there are either no equilibrium points (if b is not zero) or every point is an equilibrium point (if b = 0.)
By studying examples like the following
p(n + 1) = m p(n) + b
attracting?
In particular, does the initial condition make any difference?
Nonlinear dynamical systems of the form
p(n + 1) = f(p(n))
are more difficult to work with. One reason they are more difficult to work with is that they often have more than one equilibrium point. For example, the logistic models
p(n + 1) = a [1 - b p(n)] p(n)
have two equilibrium points, found by solving the equation
and pack-hunter models usually have three equilibrium points.
In particular, does the initial condition make any difference?