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When the weak separation condition implies the generalize finite type in $\mathbb{R}^d$

Kevin G. Hare, Joaquin Prandi

TL;DR

The paper addresses overlap controls for self-similar IFSs on $\4$ with full support and restricted rotations by proving that the weak separation condition (WSC) is equivalent to the generalized finite-type condition (GFTC) under these hypotheses. It advances the net-interval framework to higher dimensions, introduces the finite neighbor condition (FNC), and uses these tools to relate WSC to GFTCco while enabling practical computation of local dimensions of self-similar measures via a directed graph with transition matrices. By extending the Hare–Hare–Matthews approach to $\4$, it provides a concrete, algorithmic method to estimate local dimensions from net-interval data in higher dimensions. The work also highlights open questions about equivalences of overlap conditions in $\4$ and the role of rotations, suggesting directions for generalizing the theory beyond current technical constraints.

Abstract

Let $\mathcal{S}$ be an iterated function system in $\mathbb{R}^d$, with full support and some restrictions on the allowable rotations. We show that $\mathcal{S}$ satisfies the weak separation condition if and only if it satisfies the generalized finite-type condition. With this in mind, we extend the notion of net intervals from $\mathbb{R}$ to $\mathbb{R}^d$. We also use net intervals to calculate the local dimension of a self-similar measure with the finite-type condition and full support.

When the weak separation condition implies the generalize finite type in $\mathbb{R}^d$

TL;DR

The paper addresses overlap controls for self-similar IFSs on with full support and restricted rotations by proving that the weak separation condition (WSC) is equivalent to the generalized finite-type condition (GFTC) under these hypotheses. It advances the net-interval framework to higher dimensions, introduces the finite neighbor condition (FNC), and uses these tools to relate WSC to GFTCco while enabling practical computation of local dimensions of self-similar measures via a directed graph with transition matrices. By extending the Hare–Hare–Matthews approach to , it provides a concrete, algorithmic method to estimate local dimensions from net-interval data in higher dimensions. The work also highlights open questions about equivalences of overlap conditions in and the role of rotations, suggesting directions for generalizing the theory beyond current technical constraints.

Abstract

Let be an iterated function system in , with full support and some restrictions on the allowable rotations. We show that satisfies the weak separation condition if and only if it satisfies the generalized finite-type condition. With this in mind, we extend the notion of net intervals from to . We also use net intervals to calculate the local dimension of a self-similar measure with the finite-type condition and full support.

Paper Structure

This paper contains 6 sections, 15 theorems, 84 equations, 7 figures.

Key Result

Theorem 3.1

If an IFS satisfies the FNC, then it satisfies the GFTCco.

Figures (7)

  • Figure 1: Example \ref{['exnetinterval']}.
  • Figure 2: Net intervals. Example \ref{['exampenetintervaldif']}
  • Figure 3: Example in $\mathbb{R}^2$ of notation in Theorem \ref{['thm4.4']}.
  • Figure 4: First iteration of the IFS $\mathcal{S}$. Example \ref{['Netintervalslookweird']}.
  • Figure 5: Here we have iteration 2 and 3 of the IFS $\mathcal{S}$. Example \ref{['Netintervalslookweird']}.
  • ...and 2 more figures

Theorems & Definitions (45)

  • Definition 2.1
  • Definition 2.2
  • Definition 2.3
  • Definition 2.4
  • Remark
  • Definition 2.5
  • Example 2.6
  • Example 2.7
  • Definition 2.8
  • Definition 2.9
  • ...and 35 more