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Computing the Laplacian spectrum and Wiener index of pentagonal-derivation cylinder/Möbius network
Umar Ali1, Junxiang Li1, Yasir Ahmad2
1Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Abstract:
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 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 contain the eigenvalues of matrices and . Furthermore, using the relationship among the coefficients and roots of these two matrices, explicit calculations of the Kirchhoff index and spanning trees of are determined. The relationship between the Wiener and Kirchhoff indices of is also established.
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