Metrics and Uniform Harnack Inequality on the Strichartz Hexacarpet
Meng Yang

TL;DR
This paper develops intrinsic metrics on the Strichartz hexacarpet, demonstrating they do not satisfy the chain condition, and establishes a uniform Harnack inequality on approximating graphs using these metrics.
Contribution
It introduces intrinsic metrics on the Strichartz hexacarpet and proves a uniform Harnack inequality with respect to these metrics, diverging from traditional graph metrics.
Findings
Intrinsic metrics do not satisfy the chain condition.
Uniform Harnack inequality holds on approximating graphs.
Intrinsic metrics provide new analytical tools for fractal analysis.
Abstract
We construct \emph{intrinsic} metrics on the Strichartz hexacarpet using weight functions and show that these metrics do \emph{not} satisfy the chain condition. We give uniform Harnack inequality on the approximating graphs of the Strichartz hexacarpet with respect to the intrinsic metrics instead of graph metrics.
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
TopicsGeometry and complex manifolds · Geometric Analysis and Curvature Flows
