Fractal dimensions for Iterated Graph Systems

Fuente: arXiv
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Autor principal: Li, Nero Ziyu
Formato: Preprint
Publicado: 2022
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author Li, Nero Ziyu
author_facet Li, Nero Ziyu
contents Building upon [1], this study aims to introduce fractal geometry into graph theory, and to establish a potential theoretical foundation for complex networks. Specifically, we employ the method of substitution to create and explore fractal-like graphs, termed deterministic or random iterated graph systems. While the concept of substitution is commonplace in fractal geometry and dynamical systems, its analysis in the context of graph theory remains a nascent field. By delving into the properties of these systems, including diameter and distal, we derive two primary outcomes. Firstly, within the deterministic iterated graph systems, we establish that the Minkowski dimension and Hausdorff dimension align analytically through explicit formulae. Secondly, in the case of random iterated graph systems, we demonstrate that almost every graph limit exhibits identical Minkowski and Hausdorff dimensions numerically by their Lyapunov exponents. The exploration of iterated graph systems holds the potential to unveil novel directions. These findings not only, mathematically, contribute to our understanding of the interplay between fractals and graphs, but also, physically, suggest promising avenues for applications for complex networks.
format Preprint
id arxiv_https___arxiv_org_abs_2212_01987
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Fractal dimensions for Iterated Graph Systems
Li, Nero Ziyu
Dynamical Systems
Combinatorics
05C12, 05C82, 28A80(primary), 60G07
Building upon [1], this study aims to introduce fractal geometry into graph theory, and to establish a potential theoretical foundation for complex networks. Specifically, we employ the method of substitution to create and explore fractal-like graphs, termed deterministic or random iterated graph systems. While the concept of substitution is commonplace in fractal geometry and dynamical systems, its analysis in the context of graph theory remains a nascent field. By delving into the properties of these systems, including diameter and distal, we derive two primary outcomes. Firstly, within the deterministic iterated graph systems, we establish that the Minkowski dimension and Hausdorff dimension align analytically through explicit formulae. Secondly, in the case of random iterated graph systems, we demonstrate that almost every graph limit exhibits identical Minkowski and Hausdorff dimensions numerically by their Lyapunov exponents. The exploration of iterated graph systems holds the potential to unveil novel directions. These findings not only, mathematically, contribute to our understanding of the interplay between fractals and graphs, but also, physically, suggest promising avenues for applications for complex networks.
title Fractal dimensions for Iterated Graph Systems
topic Dynamical Systems
Combinatorics
05C12, 05C82, 28A80(primary), 60G07
url https://arxiv.org/abs/2212.01987