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Fault Tolerant Metric Dimensions of Leafless Cacti Graphs with Application in Supply Chain Management

Tauseef Asif, Ghulam Haidar, Faisal Yousafzai, Murad Ul Islam Khan, Qaisar Khan, Rakea Fatima

TL;DR

The paper analyzes fault-tolerant metric dimension $β'(G)$ across bicyclic graphs (types I and II) and extends the results to leafless cactus graphs. It establishes that $β'(G)=4$ for all bicyclic graphs of both types, and derives a concise formula $β'(G)=2(n_1+n_2)$ for leafless cacti, where $n_1$ counts outer cycles and $n_2$ counts even inner cycles with two antipodal common vertices. It also provides a real-world application to supply chain logistics, showing how fault-tolerant landmark sets enable robust node identification even when some landmarks fail. These results offer practical guidance for designing resilient networks with reliable distance-based identification using a compact set of landmarks.

Abstract

A resolving set for a simple graph $G$ is a subset of vertex set of $G$ such that it distinguishes all vertices of $G$ using the shortest distance from this subset. This subset is a metric basis if it is the smallest set with this property. A resolving set is a fault tolerant resolving set if the removal of any vertex from the subset still leaves it a resolving set. The smallest set satisfying this property is the fault tolerant metric basis, and the cardinality of this set is termed as fault tolerant metric dimension of $G$, denoted by $β'(G)$. In this article, we determine the fault tolerant metric dimension of bicyclic graphs of type-I and II and show that it is always $4$ for both types of graphs. We then use these results to form our basis to consider leafless cacti graphs, and calculate their fault tolerant metric dimensions in terms of \textit{inner cycles} and \textit{outer cycles}. We then consider a detailed real world example of supply and distribution center management, and discuss the application of fault tolerant metric dimension in such a scenario. We also briefly discuss some other scenarios where leafless cacti graphs can be used to model real world problems.

Fault Tolerant Metric Dimensions of Leafless Cacti Graphs with Application in Supply Chain Management

TL;DR

The paper analyzes fault-tolerant metric dimension across bicyclic graphs (types I and II) and extends the results to leafless cactus graphs. It establishes that for all bicyclic graphs of both types, and derives a concise formula for leafless cacti, where counts outer cycles and counts even inner cycles with two antipodal common vertices. It also provides a real-world application to supply chain logistics, showing how fault-tolerant landmark sets enable robust node identification even when some landmarks fail. These results offer practical guidance for designing resilient networks with reliable distance-based identification using a compact set of landmarks.

Abstract

A resolving set for a simple graph is a subset of vertex set of such that it distinguishes all vertices of using the shortest distance from this subset. This subset is a metric basis if it is the smallest set with this property. A resolving set is a fault tolerant resolving set if the removal of any vertex from the subset still leaves it a resolving set. The smallest set satisfying this property is the fault tolerant metric basis, and the cardinality of this set is termed as fault tolerant metric dimension of , denoted by . In this article, we determine the fault tolerant metric dimension of bicyclic graphs of type-I and II and show that it is always for both types of graphs. We then use these results to form our basis to consider leafless cacti graphs, and calculate their fault tolerant metric dimensions in terms of \textit{inner cycles} and \textit{outer cycles}. We then consider a detailed real world example of supply and distribution center management, and discuss the application of fault tolerant metric dimension in such a scenario. We also briefly discuss some other scenarios where leafless cacti graphs can be used to model real world problems.
Paper Structure (8 sections, 24 theorems, 8 equations, 16 figures)

This paper contains 8 sections, 24 theorems, 8 equations, 16 figures.

Key Result

Theorem 2.1

math11040869 Let $\mathcal{C}_{\mathcal{n},\mathcal{m}}$ be a base bicyclic graph of type 1, $\mathcal{n},\mathcal{m}\geq 3$. Then,

Figures (16)

  • Figure 3.1: Relationship of common vertex $\mathcal{v}_{\mathcal{n}} =\mathcal{v}_{\mathcal{n}+\mathcal{m}}$ to metric basis of base bicyclic graph $\mathcal{C}_{\mathcal{n},\mathcal{m}}$ of type-I.
  • Figure 3.2: Relationship of $\left \{ \mathcal{v}_{\frac{\mathcal{n}}{2}}, \mathcal{v}_{\frac{\mathcal{n}+m}{2}}\right\}$ and metric basis of base bicyclic graph of type-I for even $\mathcal{n},\mathcal{m}$.
  • Figure 3.3: $\mathcal{v}_{\mathcal{a}},\mathcal{v}_{\mathcal{b}} \in \mathcal{C}_{\mathcal{n}}$ for base bicyclic graph $\mathcal{C}_{\mathcal{n},\mathcal{m}}$ of type-I for odd $\mathcal{n},\mathcal{m}$
  • Figure 3.4: $\mathcal{v}_{\mathcal{a}},\mathcal{v}_{\mathcal{b}} \in \mathcal{C}_{\mathcal{m}}$ for base bicyclic graph $\mathcal{C}_{\mathcal{n},\mathcal{m}}$ of type-I for odd $\mathcal{n},\mathcal{m}$ and $\mathcal{v}_{\mathcal{j}}$ on $\mathcal{P}_{\mathcal{u}\mathcal{v}}$ through $\mathcal{v}_{\mathcal{n}}$
  • Figure 3.5: $\mathcal{v}_{\mathcal{a}},\mathcal{v}_{\mathcal{b}} \in \mathcal{C}_{\mathcal{m}}$ for base bicyclic graph $\mathcal{C}_{\mathcal{n},\mathcal{m}}$ of type-I for odd $\mathcal{n},\mathcal{m}$ and $\mathcal{v}_{\mathcal{j}}$ on $\mathcal{v}_{\mathcal{a}} \mathcal{v}_{\mathcal{b}}$-path through $\mathcal{v}_{\mathcal{n}+\lfloor \frac{\mathcal{m}}{2} \rfloor }$.
  • ...and 11 more figures

Theorems & Definitions (49)

  • Definition 2.1
  • Definition 2.2
  • Theorem 2.1
  • Theorem 2.2
  • Definition 2.3
  • Theorem 2.3
  • Lemma 3.1
  • proof
  • Lemma 3.2
  • proof
  • ...and 39 more