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On the metric dimension of corona product graphs

I. G. Yero, D. Kuziak, J. A. Rodriguez-Velazquez

arXiv:1009.2586v2math.CO

TL;DR

The paper studies how to determine the metric dimension of recursively constructed corona product graphs. It formalizes the recursive construction and develops theorem-level results for graph families characterized by properties such as diameter and connected components.

  • Problem

    The paper investigates metric dimension in corona product graphs, using resolving sets and metric representations to distinguish vertices.

  • Method

    The paper defines G ⊙^k H recursively from G ⊙ H and derives results by analyzing the structure of the attached copies of H.

  • Results

    The paper gives theorem-level metric-dimension results for corona products, including cases based on D(H) ≤2, graph components, and D(H) ≥6 or cycle structure.

  • Takeaways & Limitations

    Metric-dimension behavior in iterated corona products can be characterized according to structural properties of H.

Abstract

from arXiv · show

Given a set of vertices $S=\{v_1,v_2,...,v_k\}$ of a connected graph $G$, the metric representation of a vertex $v$ of $G$ with respect to $S$ is the vector $r(v|S)=(d(v,v_1),d(v,v_2),...,d(v,v_k))$, where $d(v,v_i)$, $i\in \{1,...,k\}$ denotes the distance between $v$ and $v_i$. $S$ is a resolving set for $G$ if for every pair of vertices $u,v$ of $G$, $r(u|S)\ne r(v|S)$. The metric dimension of $G$, $dim(G)$, is the minimum cardinality of any resolving set for $G$. Let $G$ and $H$ be two graphs of order $n_1$ and $n_2$, respectively. The corona product $G\odot H$ is defined as the graph obtained from $G$ and $H$ by taking one copy of $G$ and $n_1$ copies of $H$ and joining by an edge each vertex from the $i^{th}$-copy of $H$ with the $i^{th}$-vertex of $G$. For any integer $k\ge 2$, we define the graph $G\odot^k H$ recursively from $G\odot H$ as $G\odot^k H=(G\odot^{k-1} H)\odot H$. We give several results on the metric dimension of $G\odot^k H$. For instance, we show that given two connected graphs $G$ and $H$ of order $n_1\ge 2$ and $n_2\ge 2$, respectively, if the diameter of $H$ is at most two, then $dim(G\odot^k H)=n_1(n_2+1)^{k-1}dim(H)$. Moreover, if $n_2\ge 7$ and the diameter of $H$ is greater than five or $H$ is a cycle graph, then $dim(G\odot^k H)=n_1(n_2+1)^{k-1}dim(K_1\odot H).$

1 Introduction

The paper introduces metric dimension through resolving sets and defines corona products, including their recursive extension. It situates graph resolvability in applications and prior theoretical work.

  • Background: Graph resolvability has been studied under independently introduced concepts of resolvability and location.Prior work developed theoretical results and applications in navigation, chemistry, pattern recognition, image processing, and robot navigation.
  • Metric dimension: Metric representation records a vertex’s distances to an ordered resolving set, which distinguishes every pair of vertices.The metric dimension is the minimum size of such a resolving set.
  • Corona product: The corona product G⊙H attaches one copy of H to each vertex of G by joining that vertex to every vertex in its corresponding copy.If G and H have orders n1 and n2, respectively, the construction uses n1 copies of H.
  • Iterated corona product: The iterated corona G⊙^kH is defined recursively by repeatedly taking the corona product with H.Its order is n1(n2 + 1)^k.

2 Metric dimension of corona product graphs

The section develops structural lemmas for resolving sets in corona products and derives metric-dimension formulas and bounds for connected, disconnected, and specialized graphs. Key results characterize cases where the dimension scales with dim(H), dim(K_1⊙H), or explicit graph parameters.

  • Structural lemmas: A resolving set for G⊙H cannot contain vertices of the central copy of G when it has minimum cardinality.The proof decomposes the resolving set into nonempty subsets within the copies of H, with each subset resolving its corresponding copy.
  • Connected factors: For n2≥4 and D(H)≤2, dim(H)=n2−2 precisely for the listed complete-bipartite and related graph families.The cited characterization identifies H as K_s,t, K_s+N_t, or K_s+(K_1∪K_t) under the stated parameter conditions.
  • Disconnected factors: For disconnected H, the construction using α nontrivial components gives dim(G⊙H)≤n1(n2−α−1).The resolving set retains all but one vertex from each nontrivial component and, when needed, all but one isolated vertex.
  • Disconnected factors: If H is unconnected, dim(G⊙^kN_n2)=n1(n2+1)^(k−1)(n2−1), while H not isomorphic to N_n2 yields an upper bound with n2−2.These results distinguish the empty graph from other disconnected factors.
  • Large-diameter and cycle factors: When n2≥7 and D(H)≥6 or H is a cycle, dim(G⊙^kH)=n1(n2+1)^(k−1)dim(K1⊙H).The lower bound follows by showing each copy-level resolving set also resolves K1⊙H, and Theorem 12 supplies the matching upper bound.
  • Special cases: For n2≥7, cycles and paths have the stated explicit dimension formulas involving n1(n2+1)^(k−1) and the factor represented in the cited equations.The section also treats H≅K1 separately, giving general bounds and exact values for trees.
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