Iterated function systems whose attractors are Cantor

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Abstract

In this paper  we consider classical iterated function systems (IFS) consisting of a finite number of contracting mappings for a complete metric space. The main goal is to study the class of IFSs whose attractors are Cantor sets, i.e. perfect totally disconnected sets. Important representatives of this class are totally disconnected IFSs introduced by Barnsley. We have proposed other definitions of a totally disconnected IFS and proved their equivalence to the Barnsley definition. Sufficient conditions for IFS to be totally disconnected are obtained. It is shown that injectivity of mappings from an IFS implies the perfection of the attractor and its uncountability. Also it is proved that if the mappings from an IFS are injective and the sum of their contraction coefficients is less than one, then the attractor is a Cantor set. In general case, these conditions do not guarantee totally disconnectedness of an IFS. Meanwhile, it is shown that if an IFS consists of two injective mappings and the sum of their contraction coefficients is less than one, then the IFS is totally disconnected. Examples of IFS attractors are constructed, demonstrating that conditions of the proven theorems are only sufficient but not necessary.

About the authors

Andrey V. Bagaev

Nizhny Novgorod State Agrarian and Technological University named after L.Ya. Florentyev

Email: abagaev@hse.ru
ORCID iD: 0000-0001-5155-4175

Associate Professor, Department of Fundamental Mathematics

Russian Federation, 25/12 B. Pecherskaya St., Nizhny Novgorod 603155, Russia

Diana M. Ganeeva

Nizhny Novgorod State Agrarian and Technological University named after L.Ya. Florentyev

Author for correspondence.
Email: dganeeva@hse.ru
ORCID iD: 0009-0001-4679-9335

Research Assistant of International laboratory of Dynamical Systems and Applications

Russian Federation, 25/12 B. Pecherskaya St., Nizhny Novgorod 603155, Russia

References

  1. J. E. Hutchinson, "Fractals and self-similarity", Indiana Univ. Math. J., 30 (1981), 713–747.
  2. M. F. Barnsley, Fractals everywhere, Academic Press, Boston, 1988, 394 p.
  3. A. Swishchuk, S. Islam, Random dynamical systems in finance, CRC Press, New York, 2012 doi: 10.1201/b14989, 357 p.
  4. D. Acemouglu, G. Como, F. Fagnani, A. Ozdaglar, "Opinion fluctuations and disagreement in social networks", Mathematics of Operations Research, 38:1 (2013), 1–27. doi: 10.1287/moor.1120.0570
  5. P. Gaspard, "Iterated function systems for DNA replication", Phys. Rev. E., 96 (2017). doi: 10.1103/PhysRevE.96.042403
  6. K. Lesniak, N. Snigireva, F. Strobin, "Weakly contractive iterated function systems and beyond: a manual", Journal of Difference Equations and Applications, 26 (2020), 1114–1173. doi: 10.1080/10236198.2020.1760258
  7. M. Khumalo, T. Nazir, V. Makhoshi, "Generalized iterated function system for common attractors in partial metric spaces'', J. AIMS Mathematics, 7 (2022), 13074–13103. doi: 10.3934/math.2022723
  8. I. Abraham, "The Invariant Measure for a Countable Generalized Iterated Function System", Mediterr. J. Math., 21 (2024). doi: 10.1007/s00009-024-02751-9
  9. A. V. Bagaev, "Attractors of semigroups generated by a finite family of contraction transformations of a complete metric space", Zhurnal Srednevolzhskogo matematicheskogo obshchestva, 26 (2024), 359–375 (In Russ.). doi: 10.15507/2079-6900.26.202404.359-375
  10. K. J. Falconer, Fractal Geometry: Mathematical Foundations and Applications, John Wiley and Sons, New York, 2014, 368 p.
  11. M. Yamaguti, M. Hata, J. Kigami, Mathematics of Fractals, American Mathematical Society, Providence, 1997 doi: 10.1090/mmono/167, 90 p.
  12. A. V. Bagaev, "On a class of self-affine sets on the plane given by six homotheties", Zhurnal Srednevolzhskogo matematicheskogo obshchestva, 25 (2023), 519–530 (In Russ.). doi: 10.15507/2079-6900.25.202301.519-530

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