Published in: Journal of Computer Science and Engineering in Innovations and Research (ISSN No: 3049-1762 online)
Publication Date: July 15, 2024
This paper explores the Laplacian and distance Laplacian spectrum of the generalized fan graph. Graph spectra play a crucial role in analyzing the structural properties and connectivity of graphs. The study delves into eigenvalues associated with these matrices, highlighting their significance in graph theory and network analysis. The results contribute to understanding spectral graph theory and its applications in various domains.
Laplacian Spectrum, Distance Laplacian, Generalized Fan Graph, Graph Theory, Spectral Graph Theory