Rigorous High-Order Hausdorff Dimension Estimation of Limit Sets of Continued Fraction Iterated Function Systems via B-Splines
Jacob Brown

TL;DR
This paper introduces a rigorous numerical method using B-splines to estimate the Hausdorff dimensions of limit sets from continued fraction iterated function systems, achieving higher-order convergence and computational flexibility.
Contribution
The authors develop a novel B-spline based finite element approach for precise Hausdorff dimension estimation, extending Falk and Nussbaum's positivity results to this context.
Findings
The method provides rigorous upper and lower bounds for Hausdorff dimensions.
Numerical results confirm higher-order convergence in one and two dimensions.
The approach demonstrates computational advantages over traditional methods.
Abstract
We develop a method for the rigorous estimation of Hausdorff dimensions of limit sets produced by continued fraction iterated function systems. Our method is based on the approximation of a Perron-Frobenius operator using the finite element method with B-splines as the choice of basis functions. This choice provides key numerical advantages including higher-order convergence and computational flexibility. We prove an analogue of Falk and Nussbaum's result on "hidden positivity" for B-spline quasi-interpolants to give rigorous upper and lower bounds for the Hausdorff dimensions of various limit sets. We provide numerical results to verify both the rigor and higher-order convergence of our method for quadratic B-spline interpolants in one and two dimensions.
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.
