English

Lower threshold ground state energy and testability of minimal balanced cut density

Probability 2014-07-08 v1 Statistics Theory Statistics Theory

Abstract

Lov\'asz and his coauthors defined the notion of microcanonical ground state energy E^a(G,J)\hat{\mathcal{E}}_\mathbb{a} (G,J) -- borrowed from the statistical physics -- for weighted graphs GG, where a\mathbb{a} is a probability distribution on {1,...,q}\{1,...,q\} and JJ is a symmetric q×qq \times q matrix with real entries. We define a new version of the ground state energy, E^c(G,J)=infaAcE^a(G,J)\hat{\mathcal{E}}^c (G,J)=\inf_{\mathbb{a}\in A_c}\hat{\mathcal{E}}_\mathbb{a} (G,J), called lower threshold ground state energy, where Ac={a:aic,i=1,,q}A_c = \{\mathbb{a} :\, a_i\ge c,\,i=1,\dots, q \}. Both types of energies can be extended for graphons WW, the limit objects of convergent sequences of simple graphs. In the main result of the paper it is stated that if 0c1<c210\leq c_1<c_2 \leq 1, then the convergence of the sequences (E^c2/q(Gn,J))(\hat{\mathcal{E}}^{c_2/q} (G_n,J)) for each JJ implies convergence of the sequences (E^c1/q(Gn,J))(\hat{\mathcal{E}}^{c_1/q} (G_n,J)) for each JJ. As a byproduct one can derive in a natural way the testability of minimum balanced multiway cut densities, that is one of the fundamental problems of cluster analysis.

Keywords

Cite

@article{arxiv.1407.1662,
  title  = {Lower threshold ground state energy and testability of minimal balanced cut density},
  author = {András Krámli and Roland Markó},
  journal= {arXiv preprint arXiv:1407.1662},
  year   = {2014}
}

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14 pages