On the dimension distortion under fractionally smooth mappings
Ryan Alvarado, Efstathios Konstantinos Chrontsios Garitsis
TL;DR
This work analyzes how fractionally smooth mappings distort fractal dimensions between metric spaces, focusing on intermediate dimensions that interpolate between Hausdorff and upper Minkowski dimensions. It introduces a unifying framework via compactly Hölder mappings and Morrey-type embeddings to translate fractional Sobolev–Triebel–Lizorkin–Besov regularity into concrete dimension-distortion bounds, applicable in general metric spaces, weighted Euclidean spaces, and doubling metric measure spaces. The key results include a sharp intermediate-dimension distortion bound for compactly Hölder maps and Morrey-embedded Sobolev mappings (Theorem 1 and Theorem 2 analogs), along with corollaries for Newtonian and quasisymmetric mappings on non-Ahlfors-regular sets. The methods combine a dyadic-cube machinery, a combinatorial graph framework to manage image covers, and Morrey-type control to yield quantitative distortion estimates with broad applicability in analysis on metric spaces and non-smooth geometric contexts.
Abstract
We determine the extent to which certain classes of fractionally `smooth' continuous mappings between metric spaces distort various dimensions, including the Hausdorff, upper Minkowski (box-counting), and upper intermediate dimensions. Our intermediate and Minkowski dimension distortion results are new even for continuous (fractional) Sobolev and, more generally, Triebel--Lizorkin and Besov mappings between Euclidean spaces, complementing the work of Hencl-Honzík (2015) and Huynh (2022). Moreover, our results also extend the aforementioned work, as well as the work of Kaufman (2000) and Fraser-Tyson (2025) to certain weighted Euclidean spaces and, more generally, to doubling metric measure spaces. As an application of our main result, we quantify the corresponding dimension distortion properties of quasisymmetric mappings for non-Ahlfors regular subsets of metric measure spaces, strengthening a result of Bishop-Hakobyan-Williams (2016).
