The Logistic Map
While much attention is given to the Lorenz attractors in the world of chaos, the biologist Robert May also made a landmark contribution to the field in his publication of " Simple mathematical models with very complicated dynamics" in 1979. His paper evaluated a mapping of population over discrete periods of time using the recurrence equation xx+1=r xn(1-xn).

His model illustrates how chotic behavior can even be observed in very simple models of population growth and decline.
The logistic map is the graphical representation of the recurrence formula above where

xn is a ratio between existing population and maximum population in an environment and r is an adjustable variable that we will evaluate between 0 and 4. This recurrence formula can be understood to mean after an initial x n is determined and x n+1 is computed, that x n+1 value becomes the new x n and is run in the formula again and again for set of solutitons for the equation. With that understanding, engage the below applet.


Using the slider, at what value of r does the behavior become chaotic?

Before the onset point of chaos, the outcomes settles on a single value... then 2... then 4. At about r = 2.57, the maps behavior becomes truely chaotic. The logistic map below actually illustrates the different outcomes of the recurrence relation above.
Test Image

Two interesting observations from the graph are as follows: First, you can also observe periodic periods of relative order in the map. Second, the map is actually self similar- meaning that when you change the scale and zoom into the diagram, you'll observe ever the same behavior as illustrated below.
Test Image

This self similarity is a charicteristic of another mathematical structure observed in nature: the fractal. While this won't be ellaborated upon in depth here, many chaotic systems exibit fractal like behavior and have become a related study for those interested in the world of chaos.
The links below illustrate the relationship between the logistic map and fractals.
Logistic Map Self Similarity
Fractal Self Similarity


< Previous Next >