Formalizing Scarf, Brouwer, and Nash in Lean

📅 2026-07-07
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This work presents the first unified formalization in Lean 4 that seamlessly connects Scarf’s theorem, Brouwer’s fixed-point theorem, and the existence of mixed Nash equilibria in finite games within a single combinatorial proof framework. By leveraging an indexed-order formulation of Scarf’s theorem, room–door structures, parity arguments, and explicit embedding–projection constructions—combined with compactness and continuity reasoning—the study establishes a rigorous derivation from triangulated simplices to product spaces of simplices. The project not only delivers fully formalized combinatorial proofs of these three foundational results but also introduces BrouwerBench, a benchmark comprising 80 tasks designed to evaluate formal proof systems’ capacity to understand and reason about deep mathematical structures.
📝 Abstract
We formalize in Lean 4 a complete combinatorial route from Scarf's theorem to Brouwer's fixed point theorem and to the existence of mixed Nash equilibria in finite games. The development follows Ivanov's indexed-order formulation of Scarf's theorem, formalizes the room--door incidence structure and parity argument, instantiates the theorem on finite grids of the standard simplex, and carries out the compactness and continuity argument needed to obtain a fixed point. We then extend the result to finite products of simplices by an explicit embedding--projection construction and use this product theorem to prove mixed Nash equilibrium existence via the Nash map. As a secondary by-product, we derive BrouwerBench, a preliminary 80-item Lean-grounded benchmark for probing proof-structure understanding within this single formal development.
Problem

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

Scarf's theorem
Brouwer fixed point theorem
Nash equilibrium
formalization
Lean
Innovation

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

formal verification
fixed point theorem
Nash equilibrium
combinatorial proof
Lean 4
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Yuwei Lyu
Department of Mathematics, Xiamen University Malaysia, Sepang, Selangor, Malaysia
Kai Li
Kai Li
PhD at Mathematics and Statistics, University of Massachusetts Amherst
Mathematical PhysicsDynamical SystemsScientific Computing