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May 16, 20260 citationsOpen Access

Face Antimagic Labeling Techniques for House Graph Variants and Triangular Ladder Graphs

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RWRendra Mahendra WibowoDiponegoro University

Key Points

  • This research explores (a, d)-face antimagic labeling across three types of planar graphs.
  • Developed specific labeling constructions for vertices, edges, and faces of the house graph, double house graph, and triangular ladder graph.
  • Defined face antimagic labeling as a bijective function yielding an arithmetic sequence for each face.
  • Illustrated examples of labeling schemes producing face weights with a common difference of d = 1.
  • Confirmed that the house graph, double house graph, and triangular ladder graph all have valid face antimagic labelings.
  • Demonstrated that the labeling techniques result in face weights that satisfy the required arithmetic sequence.
  • Provided constructive examples illustrating these findings across the specified graph classes.

Abstract

This study investigates the (𝒂, 𝒅)-face antimagic labeling on three classes of planar graphs, namely the house graph, the double house graph, and the triangular ladder graph. An (𝒂, 𝒅)-face antimagic labeling is defined as a bijective function from the set of vertices, edges, and faces to the set of positive integers, such that the sum of the labels assigned to the vertices and edges incident with each face forms an arithmetic sequence. In this work, specific labeling constructions are developed for the vertices, edges, and faces of each graph to ensure that the face antimagic property is satisfied. Illustrative examples are presented to demonstrate the labeling schemes that produce face weights forming an arithmetic sequence with a fixed common difference of 𝒅 = 𝟏. The findings confirm that all three classes of graphs admit valid face antimagic labelings. This research contributes to the advancement of graph labeling theory, particularly in the study of structured planar graphs

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Cite This Study

Rendra Mahendra Wibowo (2025) studied this question.

synapsesocial.com/papers/6a0809f1a487c87a6a40bcabhttps://doi.org/10.5281/zenodo.20178727
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