2201.02059
On microsets, Assouad dimension and lower dimension of random fractals, and Furstenberg’s homogeneity
Yiftach Dayan
correcthigh confidence
- Category
- math.DS
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper proves that, for Galton–Watson fractals generated by a similarity IFS satisfying the OSC, the Hausdorff dimensions realized in the support form the interval [mW, MW], and almost surely the microset dimensions also fill this interval, yielding dim_L(E)=mW and dim_A(E)=MW (Theorem 1.8) . The candidate solution establishes the same conclusions: (a) it identifies supp(E) via deterministic inhomogeneous sub-attractors and proves universal upper/lower bounds with Frostman measures and multiplicative estimates; (b) it shows microsets realize the same interval using ubiquity of finite labeled patterns and miniset limits; and (c) it invokes the general microset–Assouad/lower-dimension principle. The proof routes differ from the paper’s (which proceeds via the coding-tree machinery, Theorems 4.10, 4.11, 4.17–4.19) , but the model’s arguments are consistent with these results. Minor issues in the model’s write-up (e.g., claiming cylinder images have non-empty relative interior) do not affect the main conclusions.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The results are correct and valuable for the dimension theory of random self-similar sets. The exposition is solid; a few clarifications about standard geometric facts under the OSC and the precise role of reduced trees would strengthen accessibility. The main theorem cleanly unifies support geometry with Assouad and lower dimensions via microsets.