openAI-math-dataset / lean /ComparatorChallenges /LogBrunnMinkowski.lean
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Add lean source and binary files (part 2)
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import Mathlib
namespace OAI
noncomputable section
open Set MeasureTheory
open scoped ENNReal InnerProductSpace
namespace LogBrunnMinkowski
abbrev Space (n : ℕ) := EuclideanSpace ℝ (Fin n)
def IsConvexBody {n : ℕ} (K : Set (Space n)) : Prop :=
IsCompact K ∧ Convex ℝ K ∧ (interior K).Nonempty
def OriginSymmetric {n : ℕ} (K : Set (Space n)) : Prop :=
∀ x, x ∈ K ↔ -x ∈ K
def support {n : ℕ} (K : Set (Space n)) (u : Space n) : ℝ :=
sSup ((fun x : Space n => ⟪x, u⟫_ℝ) '' K)
def wulff {n : ℕ} (f : Space n → ℝ) : Set (Space n) :=
{x | ∀ u, ‖u‖ = 1 → ⟪x, u⟫_ℝ ≤ f u}
def logCombination {n : ℕ} (K L : Set (Space n)) (t : ℝ) :
Set (Space n) :=
wulff (fun u => (support K u) ^ (1 - t) * (support L u) ^ t)
theorem main (n : ℕ) (hn : 1 ≤ n) (K L : Set (Space n))
(hK : IsConvexBody K) (hL : IsConvexBody L)
(hsK : OriginSymmetric K) (hsL : OriginSymmetric L)
(t : ℝ) (ht0 : 0 ≤ t) (ht1 : t ≤ 1) :
(volume K) ^ (1 - t) * (volume L) ^ t ≤ volume (logCombination K L t) := by
sorry
end LogBrunnMinkowski
end
end OAI