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Feigenbaum Universality 📂Dynamics

Feigenbaum Universality

Conjecture

$$ x \mapsto f_{\alpha} (x) \qquad , x \in \mathbb{R}^{1} $$ Let us consider a dynamical system represented as a map, as defined above, which exhibits a period-doubling bifurcation with $\alpha$ as the bifurcation parameter. Suppose the sequence of parameters at which the $k$th period-doubling occurs is denoted by $\left\{ \alpha_{k} \right\}_{k=1}^{\infty}$. The ratio of the lengths between them will converge to some constant $\mu_{F} \approx 4.6692 \ldots$1: $$ \lim_{k \to \infty} {\frac{ \alpha_{k} - \alpha_{k-1} }{ \alpha_{k+1} - \alpha_{k} }} = \mu_{F} $$

Explanation

The Feigenbaum conjectures state that period-doubling occurring under the aforementioned conditions, not just for the logistic family, universally exhibits the same rate of occurrence regardless of the system. This was reported by Feigenbaum in 19782.

For instance, although the logistic map and the Hénon map are different systems, it can be observed that the periods of the period-doubling converge to the same point as shown below3.

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Consequently, this conjecture was confirmed to be true, leading to the Feigenbaum universality, and $\mu_{F}$ came to be known as the Feigenbaum constant4 5.

In notation, the sequence $\left\{ \alpha_{k} \right\}_{k=1}^{\infty}$ has the limit $\alpha_{\infty}$, which implies that the system is becoming chaotic.


  1. Kuznetsov. (1998). Elements of Applied Bifurcation Theory: p139. ↩︎

  2. Feigenbaum, M.J. Quantitative universality for a class of nonlinear transformations. J Stat Phys 19, 25–52 (1978). https://doi.org/10.1007/BF01020332 ↩︎

  3. Yorke. (1996). CHAOS: An Introduction to Dynamical Systems: p504. ↩︎

  4. Lanford. (1982). A computer-assisted proof of the Feigenbaum conjectures: https://doi.org/10.1090/S0273-0979-1982-15008-X ↩︎

  5. Eckmann, JP., Wittwer, P. A complete proof of the Feigenbaum conjectures. J Stat Phys 46, 455–475 (1987). https://doi.org/10.1007/BF01013368 ↩︎