Fractal dimension of discrete sets and percolation
Markus Heydenreich

TL;DR
This paper explores different notions of fractal dimension for infinite sets in lattices and graphs, and applies these concepts to analyze the structure of critical percolation clusters.
Contribution
It introduces and discusses fractal dimensions for discrete sets and graphs, and applies these ideas to understand critical percolation clusters in detail.
Findings
Different fractal dimensions have distinct values for percolation clusters
The notions extend classical fractal geometry to discrete and graph settings
Applications to critical phenomena in percolation theory
Abstract
There are various notions of dimension in fractal geometry to characterise (random and non-random) subsets of . In this expository text, we discuss their analogues for infinite subsets of and, more generally, for infinite graphs. We then apply these notions to critical percolation clusters, where the various dimensions have different values.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Topological and Geometric Data Analysis · Stochastic processes and statistical mechanics
