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Add lean source and binary files (part 128)
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import Mathlib
import OAI.Probability.SKGap.Localization.Append
import OAI.Probability.SKGap.Localization.NoiseSplit
namespace OAI
section
noncomputable section
noncomputable section
open scoped BigOperators
noncomputable section
noncomputable section
noncomputable section
open scoped BigOperators
noncomputable section
open scoped BigOperators
noncomputable section
open scoped BigOperators
noncomputable section
open scoped BigOperators
noncomputable section
open scoped BigOperators
namespace SKGap.Noncrossing
namespace Diagram
variable {D E : Type*}
@[simp] lemma map_size (f : D→E) (d : Diagram D) : (d.map f).size=d.size := by
induction d <;> simp_all [map,size]
lemma map_map {G : Type*} (f : D→E) (g : E→G) (d : Diagram D) :
(d.map f).map g=d.map (g∘f) := by induction d <;> simp_all [map]
lemma fiber_map_injective (f : D→E) (d e : Diagram D)
(hw : d.word=e.word) (he : d.map f=e.map f) : d=e := by
induction d generalizing e with
| nil => cases e <;> simp_all [word,map]
| diag a d ih =>
cases e with
| nil => simp [word] at hw
| arch u v => simp [word] at hw
| diag b e =>
simp only [word,List.cons.injEq,Letter.diag.injEq] at hw
simp only [map,Diagram.diag.injEq] at he
obtain ⟨rfl,hw⟩ := hw
exact congrArg (Diagram.diag a) (ih e hw he.2)
| arch d r hd hr =>
cases e with
| nil => simp [word] at hw
| diag b e => simp [word] at hw
| arch u v =>
simp only [map,Diagram.arch.injEq] at he
have hlen : d.word.length=u.word.length := by
simpa only [word_length,map_size] using congrArg Diagram.size he.1
simp only [word,List.cons.injEq,true_and] at hw
have hw' := List.append_inj hw hlen
have hu := hd u hw'.1 he.1
have hv := hr v (List.cons.inj hw'.2).2 he.2
subst u; subst v; rfl
lemma exists_map_of_word (f : D→E) (d : Diagram E) (F : List (Letter D))
(hw : F.map (Letter.map f)=d.word) :
∃ e : Diagram D, e.word=F ∧ e.map f=d := by
induction d generalizing F with
| nil =>
have hF : F=[] := List.map_eq_nil_iff.mp hw
subst F
exact ⟨.nil,rfl,rfl⟩
| diag a d ih =>
cases F with
| nil => simp [word] at hw
| cons l F =>
cases l with
| noise => simp [Letter.map,word] at hw
| diag b =>
simp only [List.map_cons,Letter.map,word,List.cons.injEq,Letter.diag.injEq] at hw
obtain ⟨e,he,hef⟩ := ih F hw.2
exact ⟨.diag b e,by simp [word,he],by simp [map,hef,hw.1]⟩
| arch d e hd he =>
cases F with
| nil => simp [word] at hw
| cons l F =>
cases l with
| diag b => simp [Letter.map,word] at hw
| noise =>
simp only [List.map_cons,Letter.map,word,List.cons.injEq,true_and] at hw
obtain ⟨P,Q,hF,hP,hQ⟩ := List.map_eq_append_iff.mp hw
cases Q with
| nil => simp at hQ
| cons l Q =>
cases l with
| diag b => simp [Letter.map] at hQ
| noise =>
simp only [List.map_cons,Letter.map,List.cons.injEq,true_and] at hQ
obtain ⟨u,hu,huf⟩ := hd P hP
obtain ⟨v,hv,hvf⟩ := he Q hQ
exact ⟨.arch u v,by simp [word,hu,hv,hF],by simp [map,huf,hvf]⟩
def Paired.map (f : D→E) (F : List (Letter D)) (d : Paired F) :
Paired (F.map (Letter.map f)) := ⟨d.val.map f,by rw [map_word,d.property]⟩
lemma Paired.map_bijective (f : D→E) (F : List (Letter D)) :
Function.Bijective (Paired.map f F) := by
constructor
· intro d e h
apply Subtype.ext
exact fiber_map_injective f d.val e.val (d.property.trans e.property.symm)
(congrArg (fun z => z.val) h)
· intro d
obtain ⟨e,he,hef⟩ := exists_map_of_word f d.val F d.property.symm
exact ⟨⟨e,he⟩,Subtype.ext hef⟩
def Paired.mapEquiv (f : D→E) (F : List (Letter D)) :
Paired F ≃ Paired (F.map (Letter.map f)) :=
Equiv.ofBijective (Paired.map f F) (Paired.map_bijective f F)
variable {ι : Type*} [Fintype ι]
lemma evaluate_map (j : ℝ) (v : E→ι→ℝ) (f : D→E) (d : Diagram D) :
evaluate j v (d.map f)=evaluate j (v∘f) d := by simp [evaluate,map_map]
lemma expect_map (j : ℝ) (v : E→ι→ℝ) (f : D→E) (F : List (Letter D)) (i : ι) :
expect j v (F.map (Letter.map f)) i=expect j (v∘f) F i := by
symm
apply Fintype.sum_equiv (Paired.mapEquiv f F)
intro d
exact congrFun (evaluate_map j v f d.val).symm i
end Diagram
end SKGap.Noncrossing
noncomputable section
open scoped BigOperators
end
end
end
end
end
end
end
end
end
end
end
end OAI