Constant Local multiset dimension of Convex Polytopes-$R_n$ and $S_n$
Abstract
In graph theory, the metric dimension is a concept whose primary purpose is to uniquely identify each vertex in a graph based on distance with respect to a collection of reference vertices, called resolving sets. Resolving sets are used in communication networks to uniquely identify the position of each node. In robotics and navigation systems, robots can determine their exact position with reference to a set of codes generated by resolving set. Based on the practical requirements of the network problems, there are several variation in metric dimensions. Local multiset dimension (LMD) of a graph is one such variation, in which a local multiset basis generates a distinct multiset of distances for every pair of adjacent vertices with reference to a subset of the vertex set of the graph. Convex polytopes are the two-dimensional geometric shapes that can be used in designing an optimal network configuration. In this paper, we determined the LMD of two convex polytopes and hence found that the local multiset dimension for both the polytopes is constant, irrespective of the order of the graphs.Downloads
Download data is not yet available.
Published
2026-02-06
Section
International Conf. on Recent Trends in Appl. and Comput. Mathematics - ICRTACM
Copyright (c) 2026 Boletim da Sociedade Paranaense de Matemática

This work is licensed under a Creative Commons Attribution 4.0 International License.
When the manuscript is accepted for publication, the authors agree automatically to transfer the copyright to the (SPM).
The journal utilize the Creative Common Attribution (CC-BY 4.0).



