Affiliation:
1. Faculty of Sciences in Physics and Mathematics, Autonomous University of Chiapas, Tuxtla Gutierrez 29050, Mexico
2. Center for Research in Mathematics, Campus Monterrey, Monterrey 66629, Mexico
3. National Council of Humanities, Sciences and Technologies, Mexico City 03940, Mexico
Abstract
Due to their practicality and convenient parametrization, fractals derived from iterated function systems (IFSs) constitute powerful tools widely used to model natural and synthetic shapes. An IFS can generate sets other than fractals, extending its application field. Some of such sets arise from IFS fractals by adding minimal modifications to their defining rule. In this work, we propose two modifications to a fractal recently introduced by the authors: the so-called 2-ball fractal dust, which consists of a set of balls diminishing in size along an iterative process and delimited by an enclosing square. The proposed modifications are (a) adding a resizer parameter to introduce an interaction between the generator and generated ball elements and (b) a new fractal embedded into the 2-ball fractal dust, having the characteristic of filling zones not covered by the previous one. We study some numerical properties of both modified resulting sets to gain insights into their general properties. The resulting sets are geometrical forms with potential applications. Notably, the first modification generates an algorithm capable of producing geometric structures similar to those in mandalas and succulent plants; the second modification produces shapes similar to those found in nature, such as bubbles, sponges, and soil. Then, although a direct application of our findings is beyond the scope of this research, we discuss some clues of possible uses and extensions among which we can remark two connections: the first one between the parametrization we propose and the mandala patterns, and the second one between the embedded fractal and the grain size distribution of rocks, which is useful in percolation modeling.
Subject
Statistics and Probability,Statistical and Nonlinear Physics,Analysis
Reference60 articles.
1. Mandelbrot, B.B., and Mandelbrot, B.B. (1982). The Fractal Geometry of Nature, WH Freeman.
2. Banerjee, S., Hassan, M.K., Mukherjee, S., and Gowrisankar, A. (2020). Fractal Patterns in Nonlinear Dynamics and Applications, CRC Press.
3. Gokyildirim, A. (2023). Circuit Realization of the Fractional-Order Sprott K Chaotic System with Standard Components. Fractal Fract., 7.
4. Ivanov, D. (2023). Identification of Fractional Models of an Induction Motor with Errors in Variables. Fractal Fract., 7.
5. Joshi, M., Agarwal, A.K., and Gupta, B. (2019). Soft Computing: Theories and Applications: Proceedings of SoCTA 2017, Springer.