Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 37 min ago
PreprintarXiv licencearXiv

Weak k-metric dimension of Hamming graphs: rectangular products and near-maximum parameters

Abstract

We determine weak k-metric dimensions for several families of Hamming graphs. For n≥3, m>n, and 3≤ k≤2n, a cyclic construction proves Conjecture 6.1 of Fernández, Klavžar, Kuziak, Muñoz-Márquez and Yero (2026) on Kn□ Km. For these rectangular products, we also prove that wdim2(Kn□ Km)=m exactly when m≥2n−2. For hypercubes Qd with d≥2, we show that consecutive parameters 2s−1 and 2s have identical weak resolving sets. Near the maximum parameter, a reduction to restricted-distance binary codes determines wdim2d−t(Qd) for every feasible deficit 0≤ t≤15. For L≥1 and t∈{2L,2L+1}, we prove the stabilization formula wdim2d−t(Qd)=2d−L for d≥2L+1, and show that this threshold is sharp. For each fixed q≥3 and deficit t, we also determine wdim2qd−1−t(Kq□ d) in all sufficiently large dimensions, with an explicit sufficient condition.

Related

  1. Poset dimension and maximum comparability degree
    Carla Groenland, Richard Montgomery, Rajko Nenadov +1
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  2. Exact cost of the Euclidean Maximum Traveling Salesman Problem in one dimension
    Sergio Caracciolo, Carlo Vanoni
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsMathematical physicsarXiv
  3. Fractal Dimension Analysis of Constants π and e Using Pseudo-Optimized Maximum Window Selection for the Higuchi Algorithm
    Gang Gyoo Jin, Kwangcheol Shin, Jongkap Ahn
    Fractal and FractionalPeer-reviewedCC BY 4.0Analysis & PDEsCrossref
  4. Metric dimension and maximum eigenvalue multiplicity of graph Laplacians
    Monther Rashed Alfuraidan, Suliman Khan, Lorenzo Sauras Altuzarra
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  5. Maximum-Likelihood Decoding of Gabidulin Codes Is NP-Hard Even in Dimension One
    Philippe Gaborit
    arXivPreprintCC BY 4.0Full textGeneral mathematicsarXiv
BibTeX
@misc{kumar2026weak,
  title = {{Weak $k$-metric dimension of Hamming graphs: rectangular products and near-maximum parameters}},
  author = {Aryan Kumar},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.32161},
  eprint = {2609.32161},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.32161},
}
RIS
TY  - UNPB
TI  - Weak k-metric dimension of Hamming graphs: rectangular products and near-maximum parameters
AU  - Aryan Kumar
PY  - 2026
DA  - 2026/09/26
PB  - arXiv
DO  - 10.48550/arxiv.2609.32161
UR  - https://arxiv.org/abs/2609.32161
AB  - We determine weak k-metric dimensions for several families of Hamming graphs. For n≥3, m>n, and 3≤ k≤2n, a cyclic construction proves Conjecture 6.1 of Fernández, Klavžar, Kuziak, Muñoz-Márquez and Yero (2026) on K_n□ K_m. For these rectangular products, we also prove that wdim_2(K_n□ K_m)=m exactly when m≥2n−2. For hypercubes Q_d with d≥2, we show that consecutive parameters 2s−1 and 2s have identical weak resolving sets. Near the maximum parameter, a reduction to restricted-distance binary codes determines wdim_2^d−t(Q_d) for every feasible deficit 0≤ t≤15. For L≥1 and t∈{2L,2L+1}, we prove the stabilization formula wdim_2^d−t(Q_d)=2^d−L for d≥2^L+1, and show that this threshold is sharp. For each fixed q≥3 and deficit t, we also determine wdim_2q^d−1−t(K_q^□ d) in all sufficiently large dimensions, with an explicit sufficient condition.
ER  -