On metric dimension of flower graphs fn×m and convex polytopes

Muhammad Imran, Fozia Bashir, A. Q. Baig, Syed Ahtsham Ul Haq Bokhary, Ayesha Riasat, Loan Tomescu

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


Let G be a connected graph and d(x, y) be the distance between the vertices x and y. A subset of vertices W = {w1,w2, ⋯ , wk} is called a resolving set for G if for every two distinct vertices x, y ∈ V(G), there is a vertex wi ∈ W such that d(x,wi) ≠ d(y,wi). A resolving set containing a minimum number of vertices is called a metric basis for G and the number of vertices in a metric basis is its metric dimension dim(G). Let F be a family of connected graphs Gn : F = (Gn)n≥1 depending on n as follows: the order |V(G)| = φ(n) and lim n→∞φ(n) = ∞. If there exists a constant C > 0 such that dim(G) ≤ C for every n ≥ 1 then we shall say that F has bounded metric dimension; otherwise F has unbounded metric dimension. If all graphs in F have the same metric dimension (which does not depend on n), then F is called a family with constant metric dimension. The metric dimension of some classes of plane graphs has been determined in [3-5, 10, 12, 15] and [22], while metric dimension of some classes of convex polytopes has been studied in [10]. In this paper this study is extended, by considering flower graphs Fn×m and two classes of graphs associated to convex polytopes.

Original languageEnglish
Pages (from-to)389-409
Number of pages21
JournalUtilitas Mathematica
Publication statusPublished - Nov 2013
Externally publishedYes


  • Basis
  • Convex polytopes
  • Flower graphs.
  • Metric dimension
  • Resolving set

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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