Listening to Rabbits

Rn = K·Rn-1(1-Rn-1)

Where R is the normalized rabbit population and K is the stability factor.

In the above series, the all important K determines the fate of the rabbit population.  Of course this is not literally true or rabbits around the world would be cornering the market on K's. This is just a real world analogy, please don't take it literally.  What makes this interesting is the effect of the value of K.  The series can decay, go into positive feedback, stabilize, oscillate or go pseudo random.  Such a simple equation, such effects.  The magic number is 3.57.  Not 42 but 3.57. We shall see.

How to analyze this data?  Tens of points will show asymptotic behaviour, maybe oscillations.  But how random is random? What happens in the transition regions?  Listen to it! Take lots of data and turn it into an audio file for the computer to play.  Listen to this, as K steps from 3.4 to 3.9.

Diagram of "K" and its effect

The "K" Effect & Sounds
K Details Listen
<-2 Oscillations increase in amplitude, positive feedback. (nothing to hear)
-2 to -1.6 Noise. K = -1.9, -1.8, -1.7
-1.6 to -1.57 Oscillations with sidetones and noise. K = -1.6
-1.57 to -1.5 Stable oscillation with sidetones. K = -1.5
-1.5 to -1 Stable oscillation. K = -1.4, -1.3, -1.2, -1.1
-1 to 0 Decaying oscillation K = -1.0
0 to 1 Exponential decay to 0. (nothing to hear)
1 to 3 Stabilizes at a value between 0 and 2/3. (nothing to hear)
3 to 3.5 Stable oscillation. K = 3.4, 3.45, 3.5
3.5 to 3.57 Stable oscillation with sidetones. K = 3.55
3.57 to 3.6 Oscillations with sidetones and noise. K = 3.6
3.6 to 3.85 Noise. K = 3.65, 3.7, 3.75, 3.8
3.85 Stable oscillation. K = 3.85
3.85 to 4 Noise. K = 3.9, 3.95
>4 Oscillations increase in amplitude, positive feedback. (nothing to hear)

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