Abel equation
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The Abel equation, named after Niels Henrik Abel, is a type of functional equation which can be written in the form
or, equivalently,
and controls the iteration of f.
Equivalence
These equations are equivalent. Assuming that α is an invertible function, the second equation can be written as
Taking x = α−1(y), the equation can be written as
For a function f(x) assumed to be known, the task is to solve the functional equation for the function α−1≡h, possibly satisfying additional requirements, such as α−1(0) = 1.
The change of variables sα(x) = Ψ(x), for a real parameter s, brings Abel's equation into the celebrated Schröder's equation, Ψ(f(x)) = s Ψ(x) .
The further change F(x) = exp(sα(x)) into Böttcher's equation, F(f(x)) = F(x)s.
The Abel equation is a special case of (and easily generalizes to) the translation equation,[1]
e.g., for ,
. (Observe ω(x,0) = x.) <templatestyles src="Module:Hatnote/styles.css"></templatestyles>
History
Initially, the equation in the more general form [2] [3] was reported. Even in the case of a single variable, the equation is non-trivial, and admits special analysis.[4] [5][6]
In the case of a linear transfer function, the solution is expressible compactly. [7]
Special cases
The equation of tetration is a special case of Abel's equation, with f = exp.
In the case of an integer argument, the equation encodes a recurrent procedure, e.g.,
and so on,
Fatou coordinates represent solutions of Abel's equation, describing local dynamics of discrete dynamical system near a parabolic fixed point.[8]
See also
- Functional equation
- Iterated function
- Schröder's equation
- Böttcher's equation
- Infinite compositions of analytic functions
References
- ↑ Aczél, János, (1966): Lectures on Functional Equations and Their Applications, Academic Press, reprinted by Dover Publications, ISBN 0486445232 .
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- ↑ Korkine, A (1882). "Sur un problème d'interpolation", Bull Sci Math & Astron 6(1) 228—242. online
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- ↑ Dudko, Artem (2012). Dynamics of holomorphic maps: Resurgence of Fatou coordinates, and Poly-time computability of Julia sets Ph.D. Thesis