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This repository briefly introduces the logistic map and demonstrates how chaotic behavior can arise from simple non-linear dynamical equations.

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logistic-map bifurcation self-similarity fractal dynamical-systems

logisticmap's Introduction

Logistic Map

Population growth problem (for small populations)

$P_{n}=rP_{n-1}$ $P_n \sim e^{(r-1)n}$

  • If $r<1, \quad \text{then} \quad \lim P_n=0$.
  • If $r>1, \quad \text{then} \quad \lim P_n= +\infty$.
  • If $r=1, \quad \text{then} \quad \lim P_n=P_0$.

Iterative one step equation (which is deterministc, if $P_{0}$ is known):

$P_{n}=P_{n-1}(r-bP_{n-1})$

If $x_n=\frac{b}{r}P_n$, then $x_{n}=rx_{n-1}(1-x_{n-1})$.

We define $f(x)=rx(1-x)$ and $F(x,r)=rx(1-x)$.

The legal value interval for $x$ is:

$0\le x\le 1$ (population size is non-negative), because

$(x_{n-1}>1 \Rightarrow x_{n}<0) \Rightarrow x \le 1$

and

$r > 4 \Rightarrow \frac{r}{4}=f\big(\frac{1}{2}\big)>1$

in other words an instance has been found where the population size violates the legal value interval.

Therefore, $0 < r\le 4$.

Periodic case vs chaotic case

Self similarity

References

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