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https://dx.doi.org/10.48550/ar...
Article . 2015
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2015
Data sources: DBLP
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The graph spectrum of barycentric refinements

Authors: Oliver Knill;

The graph spectrum of barycentric refinements

Abstract

Given a finite simple graph G, let G' be its barycentric refinement: it is the graph in which the vertices are the complete subgraphs of G and in which two such subgraphs are connected, if one is contained into the other. If L(0)=0= dim(G). Let G(m) be the sequence of barycentric refinements of G=G(0). We prove that for any finite simple graph G, the spectral functions F(G(m)) of successive refinements converge for m to infinity uniformly on compact subsets of (0,1) and exponentially fast to a universal limiting eigenvalue distribution function F which only depends on the clique number respectively the dimension d of the largest complete subgraph of G and not on the starting graph G. In the case d=1, where we deal with graphs without triangles, the limiting distribution is the smooth function F(x) = 4 sin^2(pi x/2). This is related to the Julia set of the quadratic map T(z) = 4z-z^2 which has the one dimensional Julia set [0,4] and F satisfies T(F(k/n))=F(2k/n) as the Laplacians satisfy such a renormalization recursion. The spectral density in the d=1 case is then the arc-sin distribution which is the equilibrium measure on the Julia set. In higher dimensions, where the limiting function F still remains unidentified, F' appears to have a discrete or singular component.

20 pages 12 figures

Keywords

Mathematics - Spectral Theory, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Spectral Theory (math.SP), 05C50, 57M15, 37Dxx, Computer Science - Discrete Mathematics

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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!
0
Average
Average
Average
Green