Circle packings, renormalizations and subdivision rules
Yusheng Luo, Yongquan Zhang

TL;DR
This paper develops a renormalization framework for circle packings with subdivision rules using skinning maps on Teichmüller spaces, establishing conditions for boundedness, contraction, and rigidity.
Contribution
It introduces a new renormalization operator for circle packings with subdivision rules and proves its uniform contraction under certain conditions.
Findings
The skinning map has bounded image under specific conditions.
The renormalization operator is uniformly contracting.
Geometrically finite Kleinian circle packings are combinatorially rigid.
Abstract
In this paper, we use iterations of skinning maps on Teichm\"uller spaces to study circle packings and develop a renormalization theory for circle packings whose nerves satisfy certain subdivision rules. We characterize when the skinning map has bounded image. Under the corresponding condition, we prove that the renormalization operator is uniformly contracting. This allows us to give complete answers for the existence and moduli problems for such circle packings. The exponential contraction of means that despite the non-rigidity of such circle packings, they are geometrically inflexible. As an application, we show that any geometrically finite Kleinian circle packing is combinatorially rigid.
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.
Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Geometric and Algebraic Topology · Mathematical Dynamics and Fractals
