Exceptional projections of self-affine sets: an introduction
Ian D. Morris

TL;DR
This paper reviews recent advances in understanding the dimensions of linear projections of self-affine fractals, providing bounds, examples, and insights into the structure of exceptional projection sets.
Contribution
It introduces a new upper bound for the dimension of projected self-affine sets and illustrates the structure of exceptional projection submanifolds.
Findings
Established an explicit upper bound for projection dimensions.
Identified smooth submanifolds within the exceptional set.
Provided illustrative examples of projection behavior.
Abstract
We describe some recent results on the dimensions of linear projections of self-affine fractals, focusing in particular on an upper bound for the dimension of the projected image. We give a self-contained treatment of this bound and illustrate it through explicit examples, in the process exhibiting some smooth submanifolds of the Grassmannian which can be contained in the exceptional set in Marstrand's theorem.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Advanced Optimization Algorithms Research · Markov Chains and Monte Carlo Methods
