5,175 research outputs found
On Energy, Laplacian Energy and -fold Graphs
For a graph having adjacency spectrum (-spectrum) and Laplacian spectrum (-spectrum) , the energy is defined as and the Laplacian energy is defined as . In this paper, we give upper and lower bounds for the energy of and as a consequence we generalize a result of Stevanovic et al. [More on the relation between Energy and Laplacian energy of graphs, MATCH Commun. Math. Comput. Chem. {\bf 61} (2009) 395-401]. We also consider strong double graph and strong -fold graph to construct some new families of graphs for which E(G)> LE(G)
Energy, Laplacian energy of double graphs and new families of equienergetic graphs
For a graph with vertex set , the
extended double cover is a bipartite graph with bipartition (X, Y),
and , where two
vertices and are adjacent if and only if or adjacent to
in . The double graph of is a graph obtained by taking two
copies of and joining each vertex in one copy with the neighbours of
corresponding vertex in another copy. In this paper we study energy and
Laplacian energy of the graphs and , -spectra of the
-th iterated extended double cover of . We obtain a formula for the
number of spanning trees of . We also obtain some new families of
equienergetic and -equienergetic graphs.Comment: 23 pages, 1 figur
Band Connectivity for Topological Quantum Chemistry: Band Structures As A Graph Theory Problem
The conventional theory of solids is well suited to describing band
structures locally near isolated points in momentum space, but struggles to
capture the full, global picture necessary for understanding topological
phenomena. In part of a recent paper [B. Bradlyn et al., Nature 547, 298
(2017)], we have introduced the way to overcome this difficulty by formulating
the problem of sewing together many disconnected local "k-dot-p" band
structures across the Brillouin zone in terms of graph theory. In the current
manuscript we give the details of our full theoretical construction. We show
that crystal symmetries strongly constrain the allowed connectivities of energy
bands, and we employ graph-theoretic techniques such as graph connectivity to
enumerate all the solutions to these constraints. The tools of graph theory
allow us to identify disconnected groups of bands in these solutions, and so
identify topologically distinct insulating phases.Comment: 19 pages. Companion paper to arXiv:1703.02050 and arXiv:1706.08529
v2: Accepted version, minor typos corrected and references added. Now
19+epsilon page
Graphs and networks theory
This chapter discusses graphs and networks theory
Spectral Characterization of functional MRI data on voxel-resolution cortical graphs
The human cortical layer exhibits a convoluted morphology that is unique to
each individual. Conventional volumetric fMRI processing schemes take for
granted the rich information provided by the underlying anatomy. We present a
method to study fMRI data on subject-specific cerebral hemisphere cortex (CHC)
graphs, which encode the cortical morphology at the resolution of voxels in
3-D. We study graph spectral energy metrics associated to fMRI data of 100
subjects from the Human Connectome Project database, across seven tasks.
Experimental results signify the strength of CHC graphs' Laplacian eigenvector
bases in capturing subtle spatial patterns specific to different functional
loads as well as experimental conditions within each task.Comment: Fixed two typos in the equations; (1) definition of L in section 2.1,
paragraph 1. (2) signal de-meaning and normalization in section 2.4,
paragraph
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