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Mathematical Biosciences and Engineering
Article . 2020 . Peer-reviewed
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Mathematical Biosciences and Engineering
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Laplacian and signless laplacian spectra and energies of multi-step wheels

أطياف وطاقات لابلاسيان لابلاسيان لعجلات متعددة الخطوات
Authors: Zheng-Qing Chu; Mobeen Munir; Amina Yousaf; Muhammad Imran Qureshi; Jia Li;

Laplacian and signless laplacian spectra and energies of multi-step wheels

Abstract

<abstract> <p>Energies and spectrum of graphs associated to different linear operators play a significant role in molecular chemistry, polymerisation, pharmacy, computer networking and communication systems. In current article, we compute closed forms of signless Laplacian and Laplacian spectra and energies of multi-step wheel networks <italic>W</italic><sub><italic>n</italic>, <italic>m</italic></sub>. These wheel networks are useful in networking and communication, as every node is one hoop neighbour to other. We also present our results for wheel graphs as particular cases. In the end, correlation of these energies on the involved parameters <italic>m</italic> ≥ 3 and <italic>n</italic> is given graphically. Present results are the natural generalizations of the already available results in the literature.</p> </abstract>

Related Organizations
Keywords

Chiroptical Spectroscopy in Organic Compound Analysis, Applications of graph theory, signless Laplacian energy, signless Laplacian matrix, Laplacian energy, Quantum mechanics, spectrum, laplacian matrix, wheel graphs, QA1-939, FOS: Mathematics, signless laplacian energy, Spectroscopy, Chemical graph theory, Graph Spectra, Graphs and linear algebra (matrices, eigenvalues, etc.), Physics, Graph Spectra and Topological Indices, signless laplacian matrix, laplacian energy, Chemistry, Computational Theory and Mathematics, Combinatorics, Graph theory (including graph drawing) in computer science, Physical Sciences, Computer Science, Geometry and Topology, Laplacian matrix, TP248.13-248.65, Mathematics, Biotechnology, Computational Methods in Drug Discovery, Spectral line

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
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