Separation axiom $S_3$ for geodesic convexity in graphs
Victor Chepoi

TL;DR
This paper investigates the separation axiom $S_3$ in geodesic convexity within graphs, characterizing $S_3$-graphs, their semispaces, and providing methods for halfspace separation, with applications to various graph classes.
Contribution
It characterizes $S_3$-graphs and their semispaces in terms of halfspaces and maximal $x_0$-proximal sets, and explores the structure of meshed graphs and the NP-complete halfspace separation problem.
Findings
$S_3$-graphs satisfying (TC) are characterized structurally.
Maximal proximal sets correspond to pre-maximal cliques in $S_3$-graphs.
Methods for halfspace separation are described and applied.
Abstract
Semispaces of a convexity space are maximal convex sets missing a point. The separation axiom asserts that any point and any convex set not containing can be separated by complementary halfspaces (convex sets with convex complements) or, equivalently, that all semispaces are halfspaces. In this paper, we study for geodesic convexity in graphs and the structure of semispaces in -graphs. We characterize -graphs and their semispaces in terms of separation by halfspaces of vertices and special sets, called maximal -proximal sets and in terms of convexity of their mutual shadows and . In -graphs satisfying the triangle condition (TC), maximal proximal sets are the pre-maximal cliques of (i.e., cliques such that are maximal cliques). This allows to characterize the -graphs…
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Taxonomy
TopicsAdvanced Graph Theory Research
