Explanation legendLean4 Domain Explanation Language (L4DEL)
L4DEL explanations are a separate layer. They do not change the Lean source. Intuition is explanatory prose; numbered items are a reading path; sources link the wording back to evidence.
L4DEL
Lean4 Domain Explanation Language
Credit: OpenAI's pinned repository says an unreleased internal model produced the manuscripts and supporting proof artifacts. The collection builds on the mathematics community's accumulated problems, results, language, and formal libraries; each manuscript's BibTeX and bibliography are the authority for individual scholarly credit.
Distinct definitions of this name: OAI/Combinatorics/SparsestCut/Model.lean:32 (same statement text; different proof or body). Qualify references as OAI.UniformSparsestCut.glValue@path.
theoremOAI.UniformSparsestCut.mainGapChallenge statement: Uniform sparsest cut: hardness and semidefinite gapssorry line 40
L4DEL explanation
The formalized result gives integrality gaps for the Goemans–Linial relaxation of uniform sparsest cut. Along a sequence of instance sizes $n\to\infty$, the ratio of the integral optimum to the positive relaxation optimum is at least $c\sqrt{\log n}/(\log\log n)^3$ for one absolute $c>0$. Every unordered pair has unit demand, and the relaxation uses squared Euclidean distances satisfying the triangle inequalities. The result is an existential sequence, not a bound for every size or a computational hardness theorem.
This is an exact comparator target linked by the pinned repository's formalization note for this result.
The repository's comparator configuration selects OAI.Combinatorics.SparsestCut.Main as the released solution module checked against this declaration.
Distinct definitions of this name: OAI/Combinatorics/SparsestCut/Main.lean:14 (same statement text; different proof or body). Qualify references as OAI.UniformSparsestCut.mainGap@path.
theorem mainGap :
∃ c : ℝ, 0 < c ∧
∃ n : ℕ → ℕ, ∃ C : (j : ℕ) → Capacity (n j),
(∀ j, 2 ≤ n j) ∧
Tendsto n atTop atTop ∧
(∀ j, 0 < glValue (C j)) ∧
∀ᶠ j in atTop,
c * Real.sqrt (Real.log (n j : ℝ)) / (Real.log (Real.log (n j : ℝ))) ^ 3 ≤
OPT (C j) / glValue (C j) := by
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