A Quantitative Guessing Geodesics Theorem
Talia Shlomovich

TL;DR
This paper provides a quantitative version of the Guessing Geodesics theorem, offering explicit estimates of hyperbolicity constants and applying it to a hyperbolic model of CAT(0) spaces.
Contribution
It introduces a quantitative approach to Guessing Geodesics, explicitly estimating hyperbolicity constants, which enhances understanding of hyperbolic spaces.
Findings
Derived explicit hyperbolicity constant estimates
Applied the results to curtain models of CAT(0) spaces
Enhanced the quantitative understanding of hyperbolic metrics
Abstract
We present a quantitative version of Guessing Geodesics, which is a well-known theorem that provides a set of conditions to prove hyperbolicity of a given metric space. This version adds to the existing result by determining an explicit estimate of the hyperbolicity constant. As a sample application of this result, we estimate the hyperbolicity constant for a particular hyperbolic model of spaces known as the curtain model.
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
TopicsRobotic Mechanisms and Dynamics
