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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, we provide an algorithm to compute periodic points for this dynamical system.
📌 3 Key Takeaways
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Objective & Hypothesis:The Sierpinski gasket (also known as the Sierpinski triangle) is one of the fundamental models of self-similar sets.
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Key Findings & Data:There have been many studies on different features of this set in the last decades.
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Conclusion & Impact:Finally, we provide an algorithm to compute periodic points for this dynamical system.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Sierpinski gasket · intrinsic metric · code set
Abstract
The Sierpinski gasket (also known as the Sierpinski triangle) is one of the fundamental models of self-similar sets. There have been many studies on different features of this set in the last decades. In this paper, initially we construct a dynamical system on the Sierpinski gasket by using expanding and folding maps. We then obtain a surprising shift map on the code set of the Sierpinski gasket, which represents the dynamical system, and we show that this dynamical system is chaotic on the code set of the Sierpinski gasket with respect to the intrinsic metric. Finally, we provide an algorithm to compute periodic points for this dynamical system.
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Cite This Article
SALTAN, M., ASLAN, N., DEMİR, B. (2019). A discrete chaotic dynamical system on the Sierpinski gasket. Turkish Journal of Mathematics, Cilt: 43 - Sayı: 1, 361–372. https://ajindex.com/articles/218055