Singularity Conditions and Probabilities of Tricyclic Graphs

A graph G is said to be singular if its adjacency matrix is a singular matrix. In this paper, by analyzing the structure of Sachs subgraphs on three types of tricyclic graphs ϖ(a1,a2,b1,b2,c1,c2), σ(a1,a2,b1,b2,c), and τ(a1,a2,a3,a4) and calculating the determinants of their adjacency matrices, we investigate the necessary and sufficient conditions for the singularity of these three types of tricyclic graphs. Furthermore, we derive that the probabilities of singular graphs among tricyclic graphs ϖ(a1,a2,b1,b2,c1,c2), σ(a1,a2,b1,b2,c), and τ(a1,a2,a3,a4) are 217512,113256, and 67128, respectively.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2025-12-08
DOI
https://doi.org/10.3390/axioms14120904
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

Singularity Conditions and Probabilities of Tricyclic Graphs

Haicheng Ma, X. Q. He
Axioms
Graph theory and applications
article

Singularity Conditions and Probabilities of Tricyclic Graphs

Haicheng Ma, X. Q. He
article en

Abstract

A graph G is said to be singular if its adjacency matrix is a singular matrix. In this paper, by analyzing the structure of Sachs subgraphs on three types of tricyclic graphs ϖ(a1,a2,b1,b2,c1,c2), σ(a1,a2,b1,b2,c), and τ(a1,a2,a3,a4) and calculating the determinants of their adjacency matrices, we investigate the necessary and sufficient conditions for the singularity of these three types of tricyclic graphs. Furthermore, we derive that the probabilities of singular graphs among tricyclic graphs ϖ(a1,a2,b1,b2,c1,c2), σ(a1,a2,b1,b2,c), and τ(a1,a2,a3,a4) are 217512,113256, and 67128, respectively.

AxiomsVol. 14(12)
Qinghai University (CN)
Openalex Percentile: Top 56%
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.