English

Bow Metrics and Hyperbolicity

Combinatorics 2024-11-26 v1 Discrete Mathematics Data Structures and Algorithms

Abstract

A (λ,μ\lambda,\mu)-bow metric was defined in (Dragan & Ducoffe, 2023) as a far reaching generalization of an αi\alpha_i-metric (which is equivalent to a (0,i0,i)-bow metric). A graph G=(V,E)G=(V,E) is said to satisfy (λ,μ\lambda,\mu)-bow metric if for every four vertices u,v,w,xu,v,w,x of GG the following holds: if two shortest paths P(u,w)P(u,w) and P(v,x)P(v,x) share a common shortest subpath P(v,w)P(v,w) of length more than λ\lambda (that is, they overlap by more than λ\lambda), then the distance between uu and xx is at least dG(u,v)+dG(v,w)+dG(w,x)μd_G(u,v)+d_G(v,w)+d_G(w,x)-\mu. (λ,μ\lambda,\mu)-Bow metric can also be considered for all geodesic metric spaces. It was shown by Dragan & Ducoffe that every δ\delta-hyperbolic graph (in fact, every δ\delta-hyperbolic geodesic metric space) satisfies (δ,2δ\delta, 2\delta)-bow metric. Thus, (λ,μ\lambda,\mu)-bow metric is a common generalization of hyperbolicity and of αi\alpha_i-metric. In this paper, we investigate an intriguing question whether (λ,μ\lambda,\mu)-bow metric implies hyperbolicity in graphs. Note that, this is not the case for general geodesic metric spaces as Euclidean spaces satisfy (0,00,0)-bow metric whereas they have unbounded hyperbolicity. We conjecture that, in graphs, (λ,μ\lambda,\mu)-bow metric indeed implies hyperbolicity and show that our conjecture is true for several large families of graphs.

Keywords

Cite

@article{arxiv.2411.16548,
  title  = {Bow Metrics and Hyperbolicity},
  author = {Feodor F. Dragan and Guillaume Ducoffe and Michel Habib and Laurent Viennot},
  journal= {arXiv preprint arXiv:2411.16548},
  year   = {2024}
}

Comments

23 pages, 4 figures

R2 v1 2026-06-28T20:11:42.931Z