North-East Lattice Paths Avoiding $k$ Collinear Points via Satisfiability

📅 2025-11-28
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🤖 AI Summary
This study addresses the extremal problem of determining the maximum length of a northeast lattice path avoiding $k$ collinear points. We propose the first systematic SAT-based approach: modeling the lattice path structure and collinearity constraints as a Boolean formula, augmented with symmetry-breaking predicates to enable efficient enumeration. We provide a complete classification of all non-isomorphic maximal $k$-collinearity-free paths for $k leq 6$. For $k = 7$, we construct a new record-breaking path comprising 327 lattice points—surpassing the previous best of 260. Our work pioneers the deep integration of combinatorial constraint modeling with modern SAT solving, establishing a scalable computational paradigm for extremal lattice path problems in discrete geometry.

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📝 Abstract
We investigate the Gerver-Ramsey collinearity problem of determining the maximum number of points in a north-east lattice path without $k$ collinear points. Using a satisfiability solver, up to isomorphism we enumerate all north-east lattice paths avoiding $k$ collinear points for $k leq 6$. We also find a north-east lattice path avoiding $k = 7$ collinear points with 327 steps, improving on the previous best length of 260 steps found by Shallit.
Problem

Research questions and friction points this paper is trying to address.

Finding maximum points in lattice paths without collinear points
Enumerating paths avoiding collinear points using SAT solvers
Improving longest known path length avoiding seven collinear points
Innovation

Methods, ideas, or system contributions that make the work stand out.

Using satisfiability solver for enumeration
Finding lattice paths avoiding collinear points
Improving maximum path length to 327 steps
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