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Main Authors: Koshelev, Vitalii, Koshka, Alexey
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.20120
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author Koshelev, Vitalii
Koshka, Alexey
author_facet Koshelev, Vitalii
Koshka, Alexey
contents This paper investigates several classical and novel variations of the Erdős--Szekeres problem, including multicolored point sets, convex hexagons with a given number of interior points, and polygons with constraints on edge colors. We propose a comprehensive computational framework combining combinatorial modeling within the SAT/ASP paradigms with the geometric realization of configurations. To determine point coordinates, we developed the \textbf{linear subreduction method}. The core idea consists of combining the complete logical model of the problem with a system of geometric inequalities, followed by fixing the abscissae to linearize the constraints. This approach enables a simultaneous search for a realization across the entire space of admissible abstract configurations (signotopes) rather than examining them individually, while linearization significantly accelerates the SMT solving process. Using this framework, we established new exact values for several functions; in particular, we proved $h_{nc}(4,0; 4,0)=26$: any bicolored set of 26 points in general position must contain the vertices of an empty monochromatic quadrilateral.
format Preprint
id arxiv_https___arxiv_org_abs_2604_20120
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Combinatorial Geometry of Erdős--Szekeres Type Problems: SAT/ASP Modeling and Linear Subreduction
Koshelev, Vitalii
Koshka, Alexey
Combinatorics
This paper investigates several classical and novel variations of the Erdős--Szekeres problem, including multicolored point sets, convex hexagons with a given number of interior points, and polygons with constraints on edge colors. We propose a comprehensive computational framework combining combinatorial modeling within the SAT/ASP paradigms with the geometric realization of configurations. To determine point coordinates, we developed the \textbf{linear subreduction method}. The core idea consists of combining the complete logical model of the problem with a system of geometric inequalities, followed by fixing the abscissae to linearize the constraints. This approach enables a simultaneous search for a realization across the entire space of admissible abstract configurations (signotopes) rather than examining them individually, while linearization significantly accelerates the SMT solving process. Using this framework, we established new exact values for several functions; in particular, we proved $h_{nc}(4,0; 4,0)=26$: any bicolored set of 26 points in general position must contain the vertices of an empty monochromatic quadrilateral.
title Combinatorial Geometry of Erdős--Szekeres Type Problems: SAT/ASP Modeling and Linear Subreduction
topic Combinatorics
url https://arxiv.org/abs/2604.20120