English

The range of dimensions of microsets

Classical Analysis and ODEs 2021-04-21 v2 Probability

Abstract

We say that EE is a microset of the compact set KRdK\subset \mathbb{R}^d if there exist sequences λn1\lambda_n\geq 1 and unRdu_n\in \mathbb{R}^d such that (λnK+un)[0,1]d(\lambda_n K + u_n ) \cap [0,1]^d converges to EE in the Hausdorff metric, and moreover, E(0,1)dE \cap (0, 1)^d \neq \emptyset. The main result of the paper is that for a non-empty set A[0,d]A\subset [0,d] there is a compact set KRdK\subset \mathbb{R}^d such that the set of Hausdorff dimensions attained by the microsets of KK equals AA if and only if AA is analytic and contains its infimum and supremum. This answers a question of Fraser, Howroyd, K\"aenm\"aki, and Yu. We show that for every compact set KRdK\subset \mathbb{R}^d and non-empty analytic set A[0,dimHK]A\subset [0,\dim_H K] there is a set C\mathcal{C} of compact subsets of KK which is compact in the Hausdorff metric and {dimHC:CC}=A\{\dim_H C: C\in \mathcal{C} \}=A. The proof relies on the technique of stochastic co-dimension applied for a suitable coupling of fractal percolations with generation dependent retention probabilities. We also examine the analogous problems for packing and box dimensions.

Keywords

Cite

@article{arxiv.2102.13059,
  title  = {The range of dimensions of microsets},
  author = {Richárd Balka and Márton Elekes and Viktor Kiss},
  journal= {arXiv preprint arXiv:2102.13059},
  year   = {2021}
}

Comments

21 pages, the proofs of Theorems 4.7 and 4.8 were improved, also some minor modifications