Dimension conservation for self-similar sets and fractal percolation

preprint2014arXivOpen access

Abstract

We introduce a technique that uses projection properties of fractal percolation to establish dimension conservation results for sections of deterministic self-similar sets. For example, let KK be a self-similar subset of R2\mathbb{R}^2 with Hausdorff dimension dim⁡HK>1\dim_H K >1 such that the rotational components of the underlying similarities generate the full rotation group. Then for all ε>0ε>0, writing πθπ_θ for projection onto the line LθL_θ in direction θθ, the Hausdorff dimensions of the sections satisfy dim⁡H(K∩πθ−1x)>dim⁡HK−1−ε\dim_H (K\cap π_θ^{-1}x)> \dim_H K - 1 - ε for a set of x∈Lθx \in L_θ of positive Lebesgue measure, for all directions θθ except for those in a set of Hausdorff dimension 0. For a class of self-similar sets we obtain a similar conclusion for all directions, but with lower box dimension replacing Hausdorff dimensions of sections. We obtain similar inequalities for the dimensions of sections of Mandelbrot percolation sets.

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