Chaos Day

The Logistic Equation

This is one of the equations which inspired tremendous interest in the study of the theoretical foundations of chaos theory. The function which describes this relation is defined by

f(x) = ax(1-x), 0 <= x <= 1

where the "<=" is self-explanatory. Let's call this the Logistic function. The parameter "a" (read as "alpha") can take on any real positive value, although the theory looks at the cases where 0 < a <= 4 as we will see.

We define the iterates of f as follows:

Continuing this process indefinitely we obtain the sequence of iterates of f, namely the set of points

{ xo, f(xo), f(f(xo)), f(f(f( xo))), ...}

also called the orbit of xo under f.
Here are the first few terms of a typical orbit:

The basic question is:

Does this sequence (the orbit) converge? If it doesn't how does it behave??

The study of these questions and the answers we obtain lead one naturally to the theory of chaotic maps.

In these notes, a map will refer to a function defined on a closed and bounded interval whose values are within that same interval. So, for example, using basic techniques in freshman Calculus, one can derive this


If we assume that a <= 4, then the Logistic function,
defined above, is a map on the closed interval [0,1]

A history and derivation of this Logistic Equation can be found here. Note that it arises from a differential equation of the separable type, seen in most freshman Calculus courses.

Here's another curious fact ...The logistic map can also be defined naturally as a discretization of a continuous system, namely, the Logistic differential equation.

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