The Assouad dimension of randomly generated fractals
arXiv:1410.6949 · doi:10.1017/etds.2016.64
Abstract
We consider several different models for generating random fractals including random self-similar sets, random self-affine carpets, and fractal percolation. In each setting we compute either the \emph{almost sure} or the \emph{Baire typical} Assouad dimension and consider some illustrative examples. Our results reveal a common phenomenon in all of our models: the Assouad dimension of a randomly generated fractal is generically as big as possible and does not depend on the measure theoretic or topological structure of the sample space. This is in stark contrast to the other commonly studied notions of dimension like the Hausdorff or packing dimension.
26 pages, 7 figures, v3 corrected error in the proof of Theorem 3.2 and sharpened results on exceptional sets
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