Skip to content
DraconiticResearch
Search Sources API
186,625 studies31 sourcesUpdated 51 min ago
PreprintCC BY 4.0arXiv

On the Graph Corresponding to Center of Distances of Metric Space

Abstract

The center of distances C(Y) of a metric space (Y,ρ) is the set of all t≥ 0 for which the equation $ρ(y,p)=t $ has a solution for each point p∈ Y. We say that a simple graph CGY is the central graph of a metric space (Y,ρ) if Y is the vertex set of CGY and distinct vertices x,y∈ Y are adjacent if and only if ρ(x,y)∈ C(Y). We prove the inequality $|E(CG_Y)| \geq \left\lceil \frac{1}{2}|Y| \right\rceil $ for all finite metric spaces (Y,ρ) with |Y|≥ 2 and non-empty CGY. It is also proved that the inequality $|E(CG_X)| \geq |X|-1 $ holds for each finite ultrametric space (X,d). The central graphs of metric spaces (Y,ρ) and ultrametric spaces (X,d) satisfying $|E(CG_Y)|=\left\lceil \frac{1}{2}|Y| \right\rceil $ and, respectively, $|E(CG_X)|=|X|-1 $ are described up to graph isomorphism.

Related

  1. Smooth Isotropic Covariance Functions on Metric Graphs via Polyharmonic Resistance Distances
    Tobia Filosi, Emilio Porcu, Claudio Agostinelli
    arXivPreprintCC BY-NC-SA 4.0Full textProbabilityStatisticsarXiv
  2. Maximal Center of Distances of Finite Ultrametric Spaces and Perfect Binary Trees
    Oleksiy Dovgoshey, Navjay Singh Jaiswal, Surinder Pal Singh Kainth +2
    arXivPreprintCC BY 4.0Full textGeometry & topologyarXiv
  3. Code distances of matrix rank-metric codes under Add-and-Remove transformations
    Gianira N. Alfarano, Rakhi Pratihar, Adrien Vinçotte
    arXivPreprintCC BY 4.0Full textGeneral mathematicsarXiv
  4. Cutting a convex body into fat parts and approximating Euclidean distance by graph distances
    János Pach, Gábor Tardos
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
  5. Graph Distortion Distances, Gromov-Hausdorff and the Hardness of Gromov-Wasserstein
    Jens Breitung, Timo Gervens, Julius Pörzgen
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
BibTeX
@misc{dovgoshey2026graph,
  title = {{On the Graph Corresponding to Center of Distances of Metric Space}},
  author = {Oleksiy Dovgoshey and Olga Rovenska},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.11596},
  eprint = {2610.11596},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.11596},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - On the Graph Corresponding to Center of Distances of Metric Space
AU  - Oleksiy Dovgoshey
AU  - Olga Rovenska
PY  - 2026
DA  - 2026/10/08
PB  - arXiv
DO  - 10.48550/arxiv.2610.11596
UR  - https://arxiv.org/abs/2610.11596
AB  - The center of distances C(Y) of a metric space (Y,ρ) is the set of all t≥ 0 for which the equation $ρ(y,p)=t $ has a solution for each point p∈ Y. We say that a simple graph CG_Y is the central graph of a metric space (Y,ρ) if Y is the vertex set of CG_Y and distinct vertices x,y∈ Y are adjacent if and only if ρ(x,y)∈ C(Y). We prove the inequality $|E(CG_Y)| \geq \left\lceil \frac{1}{2}|Y| \right\rceil $ for all finite metric spaces (Y,ρ) with |Y|≥ 2 and non-empty CG_Y. It is also proved that the inequality $|E(CG_X)| \geq |X|-1 $ holds for each finite ultrametric space (X,d). The central graphs of metric spaces (Y,ρ) and ultrametric spaces (X,d) satisfying $|E(CG_Y)|=\left\lceil \frac{1}{2}|Y| \right\rceil $ and, respectively, $|E(CG_X)|=|X|-1 $ are described up to graph isomorphism.
ER  -