English

Contrast in Greyscales of Graphs

Combinatorics 2018-01-12 v3

Abstract

A greyscale ff of a graph G(V,E)G(V,E) is a mapping from VV to the interval [0,1][0,1] such that {0,1}Im(f)\{0, 1\} \subseteq Im(f). This function ff induces another mapping f^\widehat{f} on EE by assigning to each edge the non-negative difference of the values of ff on its vertices. The contrast vector cont(G,f)cont(G,f) is defined as the vector (f^(e1),f^(e2),,f^(em))(\widehat{f}(e_1), \widehat{f}(e_2), \ldots, \widehat{f}(e_m)) for all edges eie_i of GG in such a way that f^(ei)f^(ei+1)\widehat{f}(e_i) \leq \widehat{f}(e_{i+1}) for i=1,2,,m1i= 1, 2, \dots, m-1. The concept of maximum contrast vector is presented by using the lexicographical ordering in the set of contrast vectors of all possible greyscales defined on GG and a greyscale that gives rise to a maximum contrast vector is named maximum contrast greyscale. The relation between finding the maximum contrast vector for the graph GG and the chromatic number of GG is established. Thus the maximum contrast problem is an NP-complete problem. However, the set of values of any maximum contrast greyscale for any graph is bounded by a finite set which is given. Several methods to compute the maximum contrast vector with some restrictions in are collected in this paper.

Keywords

Cite

@article{arxiv.1612.07527,
  title  = {Contrast in Greyscales of Graphs},
  author = {Natalia de Castro and María A. Garrido-Vizuete and Rafael Robles and María Trinidad Villar-Liñán},
  journal= {arXiv preprint arXiv:1612.07527},
  year   = {2018}
}

Comments

29 pages, 4 figures, one table. Linked data document to this paper can be found in https://www.researchgate.net/publication/311576608_FksetsContrast