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Perturbation results for distance-edge-monitoring numbers

Chenxu Yang, Ralf Klasing, Changxiang He, Yaping Mao

TL;DR

The paper investigates how the distance-edge-monitoring number $\operatorname{dem}(G)$ behaves under perturbations. It proves a tight bound $\operatorname{dem}(G-e)-\operatorname{dem}(G)\le 2$ for edge deletions, and constructs graphs where vertex deletions can cause arbitrarily large changes, revealing nonmonotonic behavior under subgraph relations. It also establishes existence results for graphs with prescribed $\operatorname{dem}$ values and analyzes $\operatorname{dem}$ for several known graphs, complemented by an algorithm to check if a fixed DEM set remains valid after an edge deletion. These results enhance understanding of the robustness of distance-edge-monitoring in networks and provide practical tools for resilience analysis in graph-structured systems.

Abstract

Foucaud et al. recently introduced and initiated the study of a new graph-theoretic concept in the area of network monitoring. Given a graph $G=(V(G), E(G))$, a set $M \subseteq V(G)$ is a distance-edge-monitoring set if for every edge $e \in E(G)$, there is a vertex $x \in M$ and a vertex $y \in V(G)$ such that the edge $e$ belongs to all shortest paths between $x$ and $y$. The smallest size of such a set in $G$ is denoted by $\operatorname{dem}(G)$. Denoted by $G-e$ (resp. $G \backslash u$) the subgraph of $G$ obtained by removing the edge $e$ from $G$ (resp. a vertex $u$ together with all its incident edges from $G$). In this paper, we first show that $\operatorname{dem}(G-e)- \operatorname{dem}(G)\leq 2$ for any graph $G$ and edge $e \in E(G)$. Moreover, the bound is sharp. Next, we construct two graphs $G$ and $H$ to show that $\operatorname{dem}(G)-\operatorname{dem}(G\setminus u)$ and $\operatorname{dem}(H\setminus v)-\operatorname{dem}(H)$ can be arbitrarily large, where $u \in V(G)$ and $v \in V(H)$. We also study the relation between $\operatorname{dem}(H)$ and $\operatorname{dem}(G)$, where $H$ is a subgraph of $G$. In the end, we give an algorithm to judge whether the distance-edge monitoring set still remain in the resulting graph when any edge of the graph $G$ is deleted.

Perturbation results for distance-edge-monitoring numbers

TL;DR

The paper investigates how the distance-edge-monitoring number behaves under perturbations. It proves a tight bound for edge deletions, and constructs graphs where vertex deletions can cause arbitrarily large changes, revealing nonmonotonic behavior under subgraph relations. It also establishes existence results for graphs with prescribed values and analyzes for several known graphs, complemented by an algorithm to check if a fixed DEM set remains valid after an edge deletion. These results enhance understanding of the robustness of distance-edge-monitoring in networks and provide practical tools for resilience analysis in graph-structured systems.

Abstract

Foucaud et al. recently introduced and initiated the study of a new graph-theoretic concept in the area of network monitoring. Given a graph , a set is a distance-edge-monitoring set if for every edge , there is a vertex and a vertex such that the edge belongs to all shortest paths between and . The smallest size of such a set in is denoted by . Denoted by (resp. ) the subgraph of obtained by removing the edge from (resp. a vertex together with all its incident edges from ). In this paper, we first show that for any graph and edge . Moreover, the bound is sharp. Next, we construct two graphs and to show that and can be arbitrarily large, where and . We also study the relation between and , where is a subgraph of . In the end, we give an algorithm to judge whether the distance-edge monitoring set still remain in the resulting graph when any edge of the graph is deleted.
Paper Structure (10 sections, 33 theorems, 17 equations, 3 figures, 1 algorithm)

This paper contains 10 sections, 33 theorems, 17 equations, 3 figures, 1 algorithm.

Key Result

Theorem 1.4

FKKMR21 Let $G$ be a connected graph with a vertex $x$ of $G$ and for any $y\in N(x)$, then, we have $xy \in EM(x)$.

Figures (3)

  • Figure 1: The blue edges are those of trees $T_1$ and $T_2$ in $K_4$.
  • Figure 2: The graph $K{(7, 12)}$
  • Figure 7: The conical graph $C(3,8)$

Theorems & Definitions (41)

  • Definition 1.1
  • Definition 1.2
  • Definition 1.3
  • Theorem 1.4
  • Definition 1.5
  • Theorem 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Theorem 1.9
  • Proposition 1.10
  • ...and 31 more