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Fractal approximation of chaos game representations using recurrent iterated function systems

  • Received: 01 October 2018 Accepted: 19 March 2019 Published: 20 January 2019
  • MSC : 37H99, 92D20

  • We demonstrate that chaos game representations of Cannabis sativa may be approximated by the chaos game approximation of a recurrent iterated function system attractor. Via numerical experiments, we then study the fractal scaling properties of both objects and apply a wavelet decomposition in order to investigate scale-invariant patterns. We show that the attractor of a recurrent iterated function system scales similarly to the chaos game representation and has a similar wavelet multiresolution analysis profile.

    Citation: Martin Do Pham. Fractal approximation of chaos game representations using recurrent iterated function systems[J]. AIMS Mathematics, 2019, 5(6): 1824-1840. doi: 10.3934/math.2019.6.1824

    Related Papers:

  • We demonstrate that chaos game representations of Cannabis sativa may be approximated by the chaos game approximation of a recurrent iterated function system attractor. Via numerical experiments, we then study the fractal scaling properties of both objects and apply a wavelet decomposition in order to investigate scale-invariant patterns. We show that the attractor of a recurrent iterated function system scales similarly to the chaos game representation and has a similar wavelet multiresolution analysis profile.


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