Computability of the packing measure of totally disconnected self-similar sets
Marta Llorente, Manuel Mor\'an

TL;DR
This paper introduces an algorithm to accurately compute the packing measure of self-similar sets satisfying the SSC, with applications to deriving formulas for specific fractals like the Sierpinski gasket.
Contribution
It presents a convergent algorithm for exact packing measure computation of self-similar sets and demonstrates its effectiveness through examples and formulas.
Findings
Algorithm converges to the true packing measure
Accurate computation for regular self-similar sets
Derived formulas for Sierpinski gasket with certain contraction factors
Abstract
We present an algorithm to compute the exact value of the packing measure of self-similar sets satisfying the so called SSC and prove its convergence to the value of the packing measure. We also test the algorithm with examples that show both, the accuracy of the algorithm for the most regular cases and the possibility of using the additional information provided by it to obtain formulas for the packing measure of certain self-similar sets. For example, we are able to obtain a formula for the packing measure of any Sierpinski gasket with contractio factor in the interval (Theorem 2).
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.
