Semi-Matroids on Connectivity System and Linear Decomposition

The concept of the width parameter, particularly linear-width, plays a central role in graph theory and has been extensively studied. Semimatroids, which abstract the dependence properties of affine hyperplane arrangements, have similarly garnered significant scholarly interest. This paper introduces the concept of the Semi-Matroid within a connectivity system and investigates the relationship between semimatroids on connectivity systems and linear-width. Through this exploration, we aim to contribute to a deeper understanding of structural properties and their applications in graph theoretical contexts.

Authors

Institutions

Publication Details

Journal
Asian Research Journal of Mathematics
Published
2025-03-22
DOI
https://doi.org/10.9734/arjom/2025/v21i4906
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semi-Matroids on Connectivity System and Linear Decomposition

Takaaki Fujita
Asian Research Journal of Mathematics
Graph theory and applications
article

Semi-Matroids on Connectivity System and Linear Decomposition

Takaaki Fujita
article en

Abstract

The concept of the width parameter, particularly linear-width, plays a central role in graph theory and has been extensively studied. Semimatroids, which abstract the dependence properties of affine hyperplane arrangements, have similarly garnered significant scholarly interest. This paper introduces the concept of the Semi-Matroid within a connectivity system and investigates the relationship between semimatroids on connectivity systems and linear-width. Through this exploration, we aim to contribute to a deeper understanding of structural properties and their applications in graph theoretical contexts.

Asian Research Journal of MathematicsVol. 21(4)
Shinjuku College of Information Technology (JP)
Openalex Percentile: Top 90%
Graph theory and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.