Showing papers on "Spectral graph theory published in 1981"
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TL;DR: A graph is reconstructible if all but at most one of its eigenvalues are simple and have eigenvectors not orthogonal to c, where c is the vector with each entry equal to one.
57 citations
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TL;DR: In this article, the use of graph theory for studying problems in quantum chemistry was developed and established as the well-known pairing theorem of the alternant molecules Huckel molecular orbitals (HMO) have had many applications to organic chemistry and quantum chemists study HMO in various aspects.
Abstract: Publisher Summary This chapter explores that the use of graph theory for studying problems in quantum chemistry was developed and established as the well-known pairing theorem of the alternant molecules Huckel molecular orbitals (HMO) have had many applications to organic chemistry and quantum chemists study HMO in various aspects Because the molecular graphs of HMO have the most apparent topological properties, great success has been achieved using graph theory to study HMO The pairing theorem can easily be proved by graph theory, stabilities of conjugated molecules is discussed and the (4n + 2) rule is established in the chapter In correspondence with a molecular graph, there is a characteristic matrix representing the topological properties The characteristic values of the topological matrix or the characteristic roots of the characteristic equation are also the eigenvalues of the molecule, so it is especially effective to use the method of graph theory in the search for the eigenvalue spectra of a molecule It emphasizes the structural characteristics of the characteristic matrices and the solutions of the characteristic equations of the molecular graphs, especially those of the symmetrical molecular graphs
13 citations
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01 Jan 1981TL;DR: A recurrence formula for computing the characteristic polynomial of a graph due to A.J. Schwenk is generalised to arbitrary networks, and some useful reductions of this formula are cited.
Abstract: In this paper, a recurrence formula for computing the characteristic polynomial of a graph due to A.J. Schwenk is generalised to arbitrary networks, and some useful reductions of this formula are cited.
2 citations