openAI-math-dataset / lean /OAI /NumberTheory /Ostmann /Characters /BinaryExposureTree.lean
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Add lean source and binary files (part 110)
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import OAI.NumberTheory.Ostmann.Characters.BinaryExposure
namespace OAI
noncomputable section
namespace Ostmann.Characters.BinaryExposure
attribute [local instance] Classical.propDecidable
def Budget : ℕ → Type
| 0 => PUnit
| k+1 => NNReal × (Budget k × Budget k)
def Budget.value : {k:ℕ} → Budget k → NNReal
| 0,_ => 1
| _k+1,b => b.1 * b.2.1.value * b.2.2.value
variable {G H:Type*} [Group G] [Fintype G]
def Controlled (c:ℕ→H→G→G→Prop) (left right:ℕ→H→G→G→H) :
(k:ℕ) → H → G → Budget k → Prop
| 0,_,_,_ => True
| k+1,h,t,b =>
(Nat.card {x:G // c k h t x}:ℝ) / Nat.card G ≤ b.1 ∧
∀ x:G, Controlled c left right k (left k h t x) x b.2.1 ∧
Controlled c left right k (right k h t x) (x⁻¹*t) b.2.2
theorem probability_le_tree (c:ℕ→H→G→G→Prop)
(left right:ℕ→H→G→G→H) (k:ℕ) (h:H) (t:G) (b:Budget k)
(hc:Controlled c left right k h t b) :
probability c left right k h t ≤ (b.value:ℝ) := by
induction k generalizing h t with
| zero => exact le_rfl
| succ k ih =>
change avg (fun x:G=>(if c k h t x then 1 else 0)*
probability c left right k (left k h t x) x *
probability c left right k (right k h t x) (x⁻¹*t)) ≤ _
apply le_trans (avg_mono _ (fun x:G=>(if c k h t x then 1 else 0)*
((b.2.1.value:ℝ)*(b.2.2.value:ℝ))) ?_)
· rw [avg_mul_const,avg_indicator]
change _ ≤ (b.1:ℝ)*(b.2.1.value:ℝ)*(b.2.2.value:ℝ)
rw [mul_assoc]
exact mul_le_mul_of_nonneg_right hc.1 (mul_nonneg b.2.1.value.property b.2.2.value.property)
· intro x
by_cases hx:c k h t x
· simp only [hx,ite_true,one_mul]
exact mul_le_mul (ih _ _ b.2.1 (hc.2 x).1)
(ih _ _ b.2.2 (hc.2 x).2)
(probability_nonneg c left right k _ _) b.2.1.value.property
· simp only [hx,ite_false,zero_mul,le_refl]
theorem count_le_tree (c:ℕ→H→G→G→Prop)
(left right:ℕ→H→G→G→H) (k:ℕ) (h:H) (t:G) (b:Budget k)
(hc:Controlled c left right k h t b) :
(Nat.card {z:BinaryHaar.Splits G k // admissible c left right k h t z}:ℝ)/
Nat.card (BinaryHaar.Splits G k) ≤ (b.value:ℝ) := by
rw [← probability_eq_count]
exact probability_le_tree c left right k h t b hc
end Ostmann.Characters.BinaryExposure
end
end OAI