We introduce the notion of (abelian) similarity scheme, as a constructive model for topological self-similar fractals, in the same way in which the notion of iterated function system furnishes a constructive notion of self-similar fractals in a metric environment. At the same time, our notion gives a constructive approach to the Kigami–Kameyama notion of topological fractals, since a similarity scheme produces a topological fractal a la Kigami–Kameyama, and many Kigami–Kameyama topological fractals may be constructed via similarity schemes. Our scheme consists of objects X0↪φX1←πY×X0, where X0,X1 and Y are compact Hausdorff spaces, the map φ is continuous injective and the map π is continuous surjective. This scheme produces a sequence Xn, n∈N, of compact Hausdorff spaces, Xn embedded in Xn+1, and a compact Hausdorff space X∞ giving a sort of injective limit space, which turns out to be self-similar. We observe that the space Y parametrises the generalised similarity maps, and finiteness of Y is not required.
Self-similar topological fractals
Cipriani F. E. G.;
2026-01-01
Abstract
We introduce the notion of (abelian) similarity scheme, as a constructive model for topological self-similar fractals, in the same way in which the notion of iterated function system furnishes a constructive notion of self-similar fractals in a metric environment. At the same time, our notion gives a constructive approach to the Kigami–Kameyama notion of topological fractals, since a similarity scheme produces a topological fractal a la Kigami–Kameyama, and many Kigami–Kameyama topological fractals may be constructed via similarity schemes. Our scheme consists of objects X0↪φX1←πY×X0, where X0,X1 and Y are compact Hausdorff spaces, the map φ is continuous injective and the map π is continuous surjective. This scheme produces a sequence Xn, n∈N, of compact Hausdorff spaces, Xn embedded in Xn+1, and a compact Hausdorff space X∞ giving a sort of injective limit space, which turns out to be self-similar. We observe that the space Y parametrises the generalised similarity maps, and finiteness of Y is not required.| File | Dimensione | Formato | |
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