Interpolating with generalized Assouad dimensions
Amlan Banaji, Alex Rutar, Sascha Troscheit

TL;DR
This paper introduces and analyzes the $$-Assouad dimensions, a flexible family of dimensions interpolating between known fractal dimensions, with applications to self-similar and random fractal sets, revealing their properties and explicit formulas.
Contribution
It establishes key properties of $$-Assouad dimensions, including their ability to interpolate between box and Assouad dimensions, and provides explicit formulas for complex stochastic and self-similar sets.
Findings
The $$-Assouad dimension can be tailored to any value between box and Assouad dimensions.
Homogeneous Moran sets are generic for $$-Assouad dimensions.
Explicit formulas are derived for Galton--Watson trees and related stochastic fractals.
Abstract
The -Assouad dimensions are a family of dimensions which interpolate between the upper box and Assouad dimensions. They are a generalization of the well-studied Assouad spectrum with a more general form of scale sensitivity that is often closely related to "phase-transition" phenomena in sets. In this article we establish a number of key properties of the -Assouad dimensions which help to clarify their behaviour. We prove for any bounded doubling metric space and satisfying that there is a function so that the -Assouad dimension of is equal to . We further show that the "upper" variant of the dimension is fully determined by the -Assouad dimension, and that homogeneous Moran sets are in a certain sense generic for these…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics
