Feigenbaum originally related the first constant to the period-doubling bifurcations in the logistic map, but also showed it to hold for all one-dimensionalmaps with a single quadraticmaximum. As a consequence of this generality, every chaotic system that corresponds to this description will bifurcate at the same rate. Feigenbaum made this discovery in 1975,[2][3] and he officially published it in 1978.[4]
The first Feigenbaum constant or simply Feigenbaum constant[5]δ is the limiting ratio of each bifurcation interval to the next between every period doubling, of a one-parameter map
where f (x) is a function parameterized by the bifurcation parameter a.
where an are discrete values of a at the nth period doubling.
This gives its numerical value: (sequence A006890 in the OEIS)
A simple rational approximation is: 621/133, which is correct to 5 significant values (when rounding). For more precision use 1228/263, which is correct to 7 significant values.
Is approximately equal to 10/π − 1, with an error of 0.0047%
To see how this number arises, consider the real one-parameter map
Here a is the bifurcation parameter, x is the variable. The values of a for which the period doubles (e.g. the largest value for a with no period-2 orbit, or the largest a with no period-4 orbit), are a1, a2 etc. These are tabulated below:[7]
n
Period
Bifurcation parameter (an)
Ratio an−1 − an−2/an − an−1
1
2
0.75
—
2
4
1.25
—
3
8
1.3680989
4.2337
4
16
1.3940462
4.5515
5
32
1.3996312
4.6458
6
64
1.4008286
4.6639
7
128
1.4010853
4.6682
8
256
1.4011402
4.6689
The ratio in the last column converges to the first Feigenbaum constant. The same number arises for the logistic map
with real parameter a and variable x. Tabulating the bifurcation values again:[8]
the Feigenbaum constant is the limiting ratio between the diameters of successive circles on the real axis in the complex plane (see animation on the right).
n
Period = 2n
Bifurcation parameter (cn)
Ratio
1
2
−0.75
—
2
4
−1.25
—
3
8
−1.3680989
4.2337
4
16
−1.3940462
4.5515
5
32
−1.3996312
4.6459
6
64
−1.4008287
4.6639
7
128
−1.4010853
4.6668
8
256
−1.4011402
4.6740
9
512
−1.401151982029
4.6596
10
1024
−1.401154502237
4.6750
...
...
...
...
∞
−1.4011551890...
Bifurcation parameter is a root point of period-2n component. This series converges to the Feigenbaum pointc = −1.401155...... The ratio in the last column converges to the first Feigenbaum constant.
Other maps also reproduce this ratio; in this sense the Feigenbaum constant in bifurcation theory is analogous to π in geometry and e in calculus.
The second Feigenbaum constant or Feigenbaum reduction parameter[5]α is given by: (sequence A006891 in the OEIS)
It is the ratio between the width of a tine and the width of one of its two subtines (except the tine closest to the fold). A negative sign is applied to α when the ratio between the lower subtine and the width of the tine is measured.[9]
These numbers apply to a large class of dynamical systems (for example, dripping faucets to population growth).[9]
A simple rational approximation is 13/11 × 17/11 × 37/27 = 8177/3267.
Both numbers are believed to be transcendental, although they have not been proven to be so.[10] In fact, there is no known proof that either constant is even irrational.
The first proof of the universality of the Feigenbaum constants was carried out by Oscar Lanford—with computer-assistance—in 1982[11] (with a small correction by Jean-Pierre Eckmann and Peter Wittwer of the University of Geneva in 1987[12]). Over the years, non-numerical methods were discovered for different parts of the proof, aiding Mikhail Lyubich in producing the first complete non-numerical proof.[13]
The period-3 window in the logistic map also has a period-doubling route to chaos, reaching chaos at , and it has its own two Feigenbaum constants: .[14][15]: Appendix F.2
^ abWeisstein, Eric W. "Feigenbaum Constant". mathworld.wolfram.com. Retrieved 6 October 2024.
^Jordan, D. W.; Smith, P. (2007). Non-Linear Ordinary Differential Equations: Introduction for Scientists and Engineers (4th ed.). Oxford University Press. ISBN978-0-19-920825-8.
^Hilborn, Robert C. (2000). Chaos and nonlinear dynamics: an introduction for scientists and engineers (2nd ed.). Oxford: Oxford University Press. p. 578. ISBN0-19-850723-2. OCLC44737300.
Alligood, Kathleen T., Tim D. Sauer, James A. Yorke, Chaos: An Introduction to Dynamical Systems, Textbooks in mathematical sciences Springer, 1996, ISBN978-0-38794-677-1