Buffon needle lands in $\epsilon$-neighborhood of a 1-Dimensional Sierpinski Gasket with probability at most $|\log\epsilon |^{-c}$
Matt Bond, Alexander Volberg

TL;DR
This paper investigates the probability that a Buffon needle lands near a 1D Sierpinski gasket, showing it decreases at a rate proportional to a negative power of the logarithm of the neighborhood size.
Contribution
It extends quantitative projection results to the Sierpinski gasket, providing bounds on the likelihood of a needle landing near the fractal.
Findings
Probability decays as | log psilon|^{-c} for small neighborhoods
Adapts techniques from previous work on Cantor sets to the Sierpinski gasket
Provides a general framework for self-similar sets of dimension 1
Abstract
In recent years, relatively sharp quantitative results in the spirit of the Besicovitch projection theorem have been obtained for self-similar sets by studying the norms of the "projection multiplicity" functions, , where is the number of connected components of the partial fractal set that orthogonally project in the direction to cover . In \cite{NPV}, it was shown that -th partial 4-corner Cantor set with self-similar scaling factor 1/4 decays in Favard length at least as fast as , for . In \cite{BV}, this same estimate was proved for the 1-dimensional Sierpinski gasket for some . A few observations were needed to adapt the approach of \cite{NPV} to the gasket: we sketch them here. We also formulate a result about all self-similar sets of dimension 1.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Computability, Logic, AI Algorithms · Topological and Geometric Data Analysis
