OAI.Bernoulli.nonflat_in_seven
OpenThe theorem states that there exists a function u: ℝ⁷ → ℝ that is nonnegative almost everywhere, belongs locally to H¹, and is a global minimizer of the one-phase Bernoulli energy E_B(u) = ∫B (|∇u|² + 1{u>0}) dx. Here ∇u is a distributional gradient, and global minimality means that, for every open ball B of positive radius and every nonnegative almost-everywhere Sobolev competitor v ∈ H¹(B) with v − u ∈ H¹₀(B), one has E_B(u) ≤ E_B(v). Membership in H¹₀(B) requires approximation by smooth functions compactly supported in B, with both the functions and their gradients converging in L². The function is nonzero in the sense that it is not equal to zero almost everywhere, and it is homogeneous of degree one: for each real r > 0, u(rx) = r u(x) for almost every x. Nevertheless, it is not flat: there is no unit vector e ∈ ℝ⁷ for which u(x) = max(⟨x,e⟩, 0) almost everywhere. All almost-everywhere statements and integrals use Lebesgue measure.
-- Generated from openai/math @ adc7f1241b42e322a6451854ab7e4b4c146bf78a -- Source: lean/ComparatorChallenges/BernoulliNonflatInSeven.lean; bytes 3300..3436 -- Kind: theorem; original declaration names and bodies preserved. -- Source groups are independent. Target: Lean 4.33.1; see compilation.json. import Mathlib import Definitions.Def_BernoulliNonflatInSeven namespace OAI noncomputable section open MeasureTheory Set Filter open scoped ENNReal Topology ContDiff namespace Bernoulli open scoped _root_.Bernoulli
theorem nonflat_in_seven : ∃ u : Space 7 → ℝ,
GlobalMinimizer u ∧ Nonzero u ∧ OneHomogeneous u ∧ ¬ Flat u := by
sorry
end Bernoulli
end
end OAI
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.