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Formal Verification of the Empty Hexagon Number

Authors Bernardo Subercaseaux , Wojciech Nawrocki , James Gallicchio , Cayden Codel , Mario Carneiro , Marijn J. H. Heule

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Author Details

Bernardo Subercaseaux
  • Carnegie Mellon University, Pittsburgh, PA, USA
Wojciech Nawrocki
  • Carnegie Mellon University, Pittsburgh, PA, USA
James Gallicchio
  • Carnegie Mellon University, Pittsburgh, PA, USA
Cayden Codel
  • Carnegie Mellon University, Pittsburgh, PA, USA
Mario Carneiro
  • Carnegie Mellon University, Pittsburgh, PA, USA
Marijn J. H. Heule
  • Carnegie Mellon University, Pittsburgh, PA, USA

Funding

Supported by the National Science Foundation (NSF) grant CCF-2229099.

Cite AsGet BibTex

Bernardo Subercaseaux, Wojciech Nawrocki, James Gallicchio, Cayden Codel, Mario Carneiro, and Marijn J. H. Heule. Formal Verification of the Empty Hexagon Number. In 15th International Conference on Interactive Theorem Proving (ITP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 309, pp. 35:1-35:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.ITP.2024.35

Abstract

A recent breakthrough in computer-assisted mathematics showed that every set of 30 points in the plane in general position (i.e., no three points on a common line) contains an empty convex hexagon. Heule and Scheucher solved this problem with a combination of geometric insights and automated reasoning techniques by constructing CNF formulas ϕ_n, with O(n⁴) clauses, such that if ϕ_n is unsatisfiable then every set of n points in general position must contain an empty convex hexagon. An unsatisfiability proof for n = 30 was then found with a SAT solver using 17 300 CPU hours of parallel computation. In this paper, we formalize and verify this result in the Lean theorem prover. Our formalization covers ideas in discrete computational geometry and SAT encoding techniques by introducing a framework that connects geometric objects to propositional assignments. We see this as a key step towards the formal verification of other SAT-based results in geometry, since the abstractions we use have been successfully applied to similar problems. Overall, we hope that our work sets a new standard for the verification of geometry problems relying on extensive computation, and that it increases the trust the mathematical community places in computer-assisted proofs.

Subject Classification

ACM Subject Classification
  • Theory of computation → Logic and verification
Keywords
  • Empty Hexagon Number
  • Discrete Computational Geometry
  • Erdős-Szekeres

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Supplementary Materials

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