Random subsets of Cantor sets generated by trees of coin flips
Pieter Allaart, Taylor Jones

TL;DR
This paper introduces a probabilistic method to generate random subsets of Cantor sets using infinite trees with random labelings, analyzing their fractal dimensions and revealing conditions for full or zero measure.
Contribution
It develops bounds and exact formulas for the Hausdorff and box-counting dimensions of these random Cantor subsets, including special cases with uniform and deterministic labelings.
Findings
Random subsets can have full Hausdorff dimension in the original Cantor set.
Exact dimensions are computed for specific label distributions and tree structures.
The set's Hausdorff and box-counting dimensions coincide despite overlaps.
Abstract
We introduce a natural way to construct a random subset of a homogeneous Cantor set in via random labelings of an infinite -ary tree, where . The Cantor set is the attractor of an equicontractive iterated function system that satisfies the open set condition with as the open set. For a fixed probability vector , each edge in the infinite -ary tree is independently labeled with probability , for . Thus, each infinite path in the tree receives a random label sequence of numbers from . We define to be the (random) set of those points which have a coding that is equal to the label sequence of some infinite path starting at the root of the tree. The set may be viewed as a statistically self-similar set with extreme overlaps, and as such, its Hausdorff and…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Topological and Geometric Data Analysis · Advanced Topology and Set Theory
