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Add lean source and binary files (part 62)
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import Mathlib
import OAI.Computability.MinUncut.Games.TripleKernel
namespace OAI
section
noncomputable section
open scoped BigOperators
namespace MinUncut.Composition
open BinaryFourier OuterSmoothness
attribute [local instance] Classical.propDecidable BinaryFourier.dualFintype
abbrev TripleIndex (J : Type*) := Option (Option (Option J))
def tripleTupleEquiv {J A : Type*} :
(TripleIndex J → A) ≃ ((J → A) × (A × A × A)) where
toFun L := (fun j => L (some (some (some j))), L none,L (some none),L (some (some none)))
invFun z
| none => z.2.1
| some none => z.2.2.1
| some (some none) => z.2.2.2
| some (some (some j)) => z.1 j
left_inv L := by funext j; cases j with
| none => rfl
| some j => cases j with
| none => rfl
| some j => cases j <;> rfl
right_inv _ := rfl
lemma TripleIndex.card (J : Type*) [Fintype J] :
Fintype.card (TripleIndex J)=Fintype.card J+3 := by simp [TripleIndex]
variable {J V W : Type*} [Fintype J] [DecidableEq J]
[AddCommGroup V] [Module F₂ V] [Fintype V]
[AddCommGroup W] [Module F₂ W] [Fintype W]
def adaptiveKernel (f : (J → V) → V → ℝ) (u : ℝ) (L : TripleIndex J → V) : ℝ :=
tripleKernel (remainder (f (tripleTupleEquiv L).1) u) (tripleTupleEquiv L).2
omit [Fintype J] [DecidableEq J] in
lemma adaptiveKernel_abs (f : (J → V) → V → ℝ) {M u : ℝ}
(hM : 0≤M) (hu : 0<u) (hf : ∀ D z, |f D z|≤M) (L : TripleIndex J → V) :
|adaptiveKernel f u L|≤(M+M^2/u)^4 :=
tripleKernel_abs _ (by positivity) (remainder_abs_bound _ hM hu (hf _)) _
lemma adaptiveKernel_uniform (f : (J → V) → V → ℝ) {M u : ℝ}
(hM : 0≤M) (hu : 0<u) (hf : ∀ D z, |f D z|≤M) :
(𝔼 L : TripleIndex J → V, adaptiveKernel f u L)≤u^2*M^2 := by
have he : (𝔼 L : TripleIndex J → V, adaptiveKernel f u L) =
𝔼 z : (J → V) × (V × V × V), tripleKernel (remainder (f z.1) u) z.2 :=
Fintype.expect_equiv tripleTupleEquiv _ _ (fun _ => rfl)
rw [he,expect_pair]
simp_rw [tripleKernel_mean]
exact (Finset.expect_le_expect (fun D _ => remainder_fourth_bound (f D) hM hu (hf D))).trans_eq
(Fintype.expect_const _)
omit [Fintype J] [DecidableEq J] [Fintype W] in
lemma adaptiveKernel_pullback (π : W →ₗ[F₂] V) (f : (J → V) → V → ℝ) (u : ℝ)
(L : TripleIndex J → W) :
adaptiveKernel f u (fun j => π (L j)) =
tripleKernel (fun z => remainder (f (fun j => π ((tripleTupleEquiv L).1 j))) u (π z))
(tripleTupleEquiv L).2 := by
simp only [adaptiveKernel,tripleKernel,tripleTupleEquiv,Equiv.coe_fn_mk,map_add]
lemma adaptiveKernel_pullback_mean (π : W →ₗ[F₂] V) (f : (J → V) → V → ℝ) (u : ℝ) :
(𝔼 L : TripleIndex J → W, adaptiveKernel f u (fun j => π (L j))) =
𝔼 D : J → W, ∑ β : Module.Dual F₂ W,
coefficient (fun z => remainder (f (fun j => π (D j))) u (π z)) β ^4 := by
simp_rw [adaptiveKernel_pullback]
have he := Fintype.expect_equiv (tripleTupleEquiv (J := J) (A := W))
(fun L => tripleKernel (fun z => remainder (f (fun j => π ((tripleTupleEquiv L).1 j))) u (π z))
(tripleTupleEquiv L).2)
(fun z => tripleKernel (fun w => remainder (f (fun j => π (z.1 j))) u (π w)) z.2)
(fun _ => rfl)
rw [he,expect_pair]
simp_rw [tripleKernel_mean]
end MinUncut.Composition
end
end
end OAI