Computational analysis determines structural features in pentagonal-derivation cylinder networks, suggesting significant relationships among network indices.
The Laplacian spectrum significantly contributes the study of the structural features of non-regular networks. Actually, it emphasizes the interaction among the network eigenvalues and their structural properties. Let P n \( P n ′ \) represent the pentagonal-derivation cylinder (Möbius) network. In this article, based on the decomposition techniques of the Laplacian characteristic polynomial, we initially determine that the Laplacian spectra of P n contain the eigenvalues of matrices L R and L S . Furthermore, using the relationship among the coefficients and roots of these two matrices, explicit calculations of the Kirchhoff index and spanning trees of P n are determined. The relationship between the Wiener and Kirchhoff indices of P n is also established.
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Ali et al. (2024) studied this question.
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