Dimensions of orthogonal projections of typical self-affine sets and measures
De-Jun Feng, Yu-Hao Xie

TL;DR
This paper investigates the dimensions of projections of self-affine sets and measures generated by affine iterated function systems, establishing conditions under which these projections have well-defined dimensions and analyzing their local properties.
Contribution
It provides a comprehensive analysis of the dimensions of orthogonal projections of typical self-affine sets and measures, including conditions for exact dimensionality and the role of pressure functions.
Findings
Dimensions of projections are determined by a pressure function.
For typical parameters, Hausdorff and box-counting dimensions coincide.
Certain measures are proven to be exact dimensional under specific conditions.
Abstract
Let be a family of invertible real matrices with for . For , let denote the coding map associated with the affine IFS , and let denote the attractor of this IFS. Let be a linear subspace of and the orthogonal projection onto . We show that for -a.e.~, the Hausdorff and box-counting dimensions of coincide and are determined by the zero point of a certain pressure function associated with and . Moreover, for every ergodic -invariant measure on and for -a.e.~, the local dimensions of exist almost…
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Taxonomy
TopicsOptics and Image Analysis · Advanced Theoretical and Applied Studies in Material Sciences and Geometry · Mathematical Control Systems and Analysis
