Evaluation of Eigen Values, Laplacians and Connectivity of Various Graph Types in Spectral Graph Theory
Abstract
Spectral graph theory explores the interrelationship between graph structures and the eigenvalues of adjacency and Laplacian matrices. This paper elucidates key concepts of spectral graph theory by examining eigenvalues in conjunction with Laplacians, which are instrumental in assessing graph connectivity. The spectral properties of these matrices yield significant insights into the graph's structure, encompassing aspects of connectivity, expansion capabilities, and operational dependability. Furthermore, the paper discusses fundamental theorems, applications, and the methodology involved in spectral analysis.
Fields of Study & Subjects
Graph theory and applications
Graph Theory and Algorithms
Spectral Theory in Mathematical Physics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 February 2026
- Language
- EN