TL;DR: In this article, the crossover properties of period-doubling bifurcations for the standard form of the Henon map were investigated, and the scaling function 1/σ(t, B) tends to very large values at t = 14 for B → 1.
TL;DR: In this article, the first cascade of period-doubling bifurcations is described from the point of view of the associated Julia sets and λ-chains.
Abstract: For realλ a correspondence is made between the Julia setBλ forz→(z−λ)2, in the hyperbolic case, and the set ofλ-chainsλ±√(λ±√(λ±..., with the aid of Cremer's theorem. It is shown how a number of features ofBλ can be understood in terms ofλ-chains. The structure ofBλ is determined by certain equivalence classes ofλ-chains, fixed by orders of visitation of certain real cycles; and the bifurcation history of a given cycle can be conveniently computed via the combinatorics ofλ-chains. The functional equations obeyed by attractive cycles are investigated, and their relation toλ-chains is given. The first cascade of period-doubling bifurcations is described from the point of view of the associated Julia sets andλ-chains. Certain “Julia sets” associated with the Feigenbaum function and some theorems of Lanford are discussed.
TL;DR: In this article, the universal map for the period-doubling transition to chaos is studied numerically in the complex plane and the boundary of the domain of analyticity of this function is obtained graphically and is shown to be a fractal with self-similar properties obtained by rescaling with the universal constantsα andδ.
Abstract: The universal map for the period-doubling transition to chaos is studied numerically in the complex plane. The boundary of the domain of analyticity of this function is obtained graphically and is shown to be a fractal with self-similar properties obtained by rescaling with the universal constantsα andδ. In the complex parameter plane, this domain is shown asymptotically to be similar to part of the Mandelbrot set.
TL;DR: The paper shows the results of computer simulations which were performed with the use of OCaml functional language and discovered the structures which differ completely in terms of quality from those of classic Feigenbaum trees for non-Feigenbaum functions.
Abstract: The paper shows the results of computer simulations which were performed with the use of OCaml functional language. The simulations show Feigenbaum trees for a broad spectrum of functions. The possibility to magnify selected areas of the generated fractals permits viewing a whole diversity of structures which are invisible on a normal scale. What is most important, however, is that for non-Feigenbaum functions, the Author discovered the structures which differ completely in terms of quality from those of classic Feigenbaum trees.