The Optimal Ratio of a Generalized Chaos Game in Regular Polytopes

This paper investigates the concept of an optimal ratio for regular polytopes in n-dimensional space within the framework of the Generalized Chaos Game. The optimal ratio, ropt, is defined as the value at which the self-similar regions of the resulting fractal touch but do not overlap. Using a series of Python simulations, we explore how the optimal ratio varies across different polytopes, from two-dimensional polygons to three-dimensional polyhedra and beyond. The results, visualized through plots generated for various polytopes and values of the scaling factor r, demonstrate that the optimal ratio is not universal but rather depends on each polytope’s specific properties. A formula is then derived to determine the optimal ratio for any regular polytope in any dimension. The formula is then experimentally verified using multiple Python programs designed to search and find the optimal ratio iteratively.

Authors

Publication Details

Journal
The PUMP Journal of Undergraduate Research
Published
2025-09-19
DOI
https://doi.org/10.46787/pump.v8i.4740
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Optimal Ratio of a Generalized Chaos Game in Regular Polytopes

Christoffer Tarmet
The PUMP Journal of Undergraduate Research
Mathematical and Theoretical Epidemiology and Ecology Models
article

The Optimal Ratio of a Generalized Chaos Game in Regular Polytopes

Christoffer Tarmet
article en

Abstract

This paper investigates the concept of an optimal ratio for regular polytopes in n-dimensional space within the framework of the Generalized Chaos Game. The optimal ratio, ropt, is defined as the value at which the self-similar regions of the resulting fractal touch but do not overlap. Using a series of Python simulations, we explore how the optimal ratio varies across different polytopes, from two-dimensional polygons to three-dimensional polyhedra and beyond. The results, visualized through plots generated for various polytopes and values of the scaling factor r, demonstrate that the optimal ratio is not universal but rather depends on each polytope’s specific properties. A formula is then derived to determine the optimal ratio for any regular polytope in any dimension. The formula is then experimentally verified using multiple Python programs designed to search and find the optimal ratio iteratively.

The PUMP Journal of Undergraduate ResearchVol. 8
Openalex Percentile: Top 66%
Mathematical and Theoretical Epidemiology and Ecology Models
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.