
arXiv: 1709.00366
We examine the incidence geometry of lines in the tropical plane. We prove tropical analogs of the Sylvester-Gallai and Motzkin-Rabin theorems in classical incidence geometry. This study leads naturally to a discussion of the realizability of incidence data of tropical lines. Drawing inspiration from the von Staudt constructions and Mn��v's universality theorem, we prove that determining whether a given tropical linear incidence datum is realizable by a tropical line arrangement requires solving an arbitrary linear programming problem over the integers.
v2: 20 pages, 20 figures. Final version to appear in Journal of Combinatorial Theory, Series A
General theory of linear incidence geometry and projective geometries, Tropical geometry, tropical geometry, Planar arrangements of lines and pseudolines (aspects of discrete geometry), FOS: Mathematics, incidence geometry, Mathematics - Combinatorics, Newton polygons, universality, Combinatorics (math.CO)
General theory of linear incidence geometry and projective geometries, Tropical geometry, tropical geometry, Planar arrangements of lines and pseudolines (aspects of discrete geometry), FOS: Mathematics, incidence geometry, Mathematics - Combinatorics, Newton polygons, universality, Combinatorics (math.CO)
| 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). | 3 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
