Deterministic Chaos
Logistic Map Cycles
As s increases from 0 to 4, we observe
* Each stable cycle goes through an infinite sequence of period-doublings.
  
For example, the stable fixed point gives rise to a stable 2-cycle just as it becomes 
unstable.
  
This stable 2-cycle gives rise to a stable 4-cycle just as it becomes unstable.
  
This stable 4-cycle gives rise to a stable 8-cycle just as it becomes unstable.
  
In general, any stable n-cycle gives rise to a family
2n-cycle -> 
4n-cycle -> 8n-cycle -> 16n-cycle -> ...
    
* Each tangent bifurcation produces a stable cycle, that then gives rise to a 
cascade of period-doubling bifurcations.
* For each s-value, there is at most one stable cycle, and for many there are none.
  
* If there is a stable cycle, the iterates of 1/2 converge to the cycle.  This was 
proved by Fatou and Julia.  (What's special about x = 1/2 is that it is the 
critical point, the point at which the logistic map's derivative is 0.)
  
* Call the range of s-values of a stable cycle and all its stable 
period-doubling descendants a periodic window.
  
The order in which these periodic windows arise is a bit complicated, but 
completely understood.
  
   
They showed every periodic window 
contains an s-value for which x = 1/2 belongs to the cycle.  These 
cycles are called superstable.
  
With each superstable 
cycle, Metropolis, Stein, and Stein associated a sequence of symbols L and R, denoting 
whether a point of the cycle falls to the Left or Right of 1/2.
  
The two 4-cycles
shown below have sequences RLR and RLL.  (Four-cycles containing 
x = 1/2 have only three symbols, because the cycle is always understood to 
start with x = 1/2.)
  
The heart of the proof is finding how the symbol sequences 
of any two superstable cycles are related to the order of the s-values at which they occur.
 
* For some s-values there is no stable cycle at all, and the dynamics are chaotic.  
Jakobsen proved the chaotic s-values are a non-negligible portion of the range 
3.6 <= s <= 4, but the amount of chaos is difficult to estimate.
  
Return to Logistic Map Cycles.