English

Hyperbolicity, slimness, and minsize, on average

Probability 2024-12-10 v1 Combinatorics

Abstract

A metric space (X,d)(X,d) is said to be δ\delta-hyperbolic if d(x,y)+d(z,w)d(x,y)+d(z,w) is at most max(d(x,z)+d(y,w),d(x,w)+d(y,z))\max(d(x,z)+d(y,w), d(x,w)+d(y,z)) by 2δ2 \delta. A geodesic space is δ\delta-slim if every geodesic triangle Δ(x,y,z)\Delta(x,y,z) is δ\delta-slim. It is well-established that the notions of δ\delta-slimness, δ\delta-hyperbolicity, δ\delta-thinness and similar concepts are equivalent up to a constant factor. In this paper, we investigate these properties under an average-case framework and reveal a surprising discrepancy: while Eδ\mathbb{E}\delta-slimness implies Eδ\mathbb{E}\delta-hyperbolicity, the converse does not hold. Furthermore, similar asymmetries emerge for other definitions when comparing average-case and worst-case formulations of hyperbolicity. We exploit these differences to analyze the random Gaussian distribution in Euclidean space, random dd-regular graph, and the random Erd\H{o}s-R\'enyi graph model, illustrating the implications of these average-case deviations.

Keywords

Cite

@article{arxiv.2412.05746,
  title  = {Hyperbolicity, slimness, and minsize, on average},
  author = {Anna C. Gilbert and Joon-Hyeok Yim},
  journal= {arXiv preprint arXiv:2412.05746},
  year   = {2024}
}

Comments

28 pages, 7 figures

R2 v1 2026-06-28T20:26:43.193Z