Complex dynamics of Mandelbrot sets induced by iterative composition of two polynomials under the Das–Debata framework

Research on the Mandelbrot set has been ongoing for decades and occupies a significant place in the study of fractal geometry. It is obtained by employing a function in the complex plane in an iterative procedure. This method is further developed in existing literature in two ways: either by employing complicated functions of various kinds or by using iterative methods beyond the standard Picard iteration. In both cases, we use a single function to obtain the Mandelbrot set. In this paper, we propose an approach in which we use two polynomial functions instead of one. For this aim, we have utilized the Das–Debata iteration, which combines two operators into a single iterative process. Polynomials of the form $$z^m+pz+r$$ , where $$z, p, r\in \mathbb {C}$$ , $$m \in \mathbb {N}$$ , and $$m \ge 2$$ , are used to derive the escape criterion. By employing the escape time algorithm, we have provided interesting graphical representations of Mandelbrot sets that exhibit notable variations in patterns compared to those obtained by the Picard iteration. To create a comparison analysis of the resulting sets based on the iteration parameters, we merged polynomials of the same degree and different degrees and changed their ordering in the iterative process. Finally, we examined two numerical measures: the average escape time and the non-escaping area index, to determine how these fractal sets rely on the iteration parameters, which turns out that the dependency of both iterative approaches is nonlinear.

Authors

Institutions

Publication Details

Journal
Numerical Algorithms
Published
2025-09-23
DOI
https://doi.org/10.1007/s11075-025-02217-3
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Complex dynamics of Mandelbrot sets induced by iterative composition of two polynomials under the Das–Debata framework

Krzysztof Gdawiec, Subhadip Roy
Numerical Algorithms
Optimization and Variational Analysis
article

Complex dynamics of Mandelbrot sets induced by iterative composition of two polynomials under the Das–Debata framework

Krzysztof Gdawiec, Subhadip Roy
article en

Abstract

Research on the Mandelbrot set has been ongoing for decades and occupies a significant place in the study of fractal geometry. It is obtained by employing a function in the complex plane in an iterative procedure. This method is further developed in existing literature in two ways: either by employing complicated functions of various kinds or by using iterative methods beyond the standard Picard iteration. In both cases, we use a single function to obtain the Mandelbrot set. In this paper, we propose an approach in which we use two polynomial functions instead of one. For this aim, we have utilized the Das–Debata iteration, which combines two operators into a single iterative process. Polynomials of the form $$z^m+pz+r$$ , where $$z, p, r\in \mathbb {C}$$ , $$m \in \mathbb {N}$$ , and $$m \ge 2$$ , are used to derive the escape criterion. By employing the escape time algorithm, we have provided interesting graphical representations of Mandelbrot sets that exhibit notable variations in patterns compared to those obtained by the Picard iteration. To create a comparison analysis of the resulting sets based on the iteration parameters, we merged polynomials of the same degree and different degrees and changed their ordering in the iterative process. Finally, we examined two numerical measures: the average escape time and the non-escaping area index, to determine how these fractal sets rely on the iteration parameters, which turns out that the dependency of both iterative approaches is nonlinear.

Numerical Algorithms
Institute of Computer Science (PL), University of Silesia in Katowice (PL), Indian Institute of Engineering Science and Technology, Shibpur (IN)
Openalex Percentile: Top 73%
Optimization and Variational Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.