On cut sets of attractors of iterated function systems
Beno\^it Loridant, Jun Luo, Tarek Sellami, J\"org Thuswaldner

TL;DR
This paper investigates the structure of cut sets in attractors of iterated function systems, providing criteria for cut points and methods to identify them, especially in self-affine tiles, with algorithmic implications.
Contribution
It establishes that irreducible cut sets are either perfect sets or points and offers an algorithmic approach to detect cut points in self-affine tiles.
Findings
Irreducible cut sets are either perfect sets or single points.
Provides a criterion for the existence of cut points in IFS attractors.
Develops an algorithmic method using Hata graphs to find cut points.
Abstract
In this paper, we study cut sets of attractors of iteration function systems (IFS) in . Under natural conditions, we show that all irreducible cut sets of these attractors are perfect sets or single points. This leads to a criterion for the existence of cut points of IFS attractors. If the IFS attractors are self-affine tiles, our results become algorithmically checkable and can be used to exhibit cut points with the help of Hata graphs. This enables us to construct cut points of some self-affine tiles studied in the literature.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Caveolin-1 and cellular processes · Cellular Automata and Applications
