url
stringclasses
147 values
commit
stringclasses
147 values
file_path
stringlengths
7
101
full_name
stringlengths
1
94
start
stringlengths
6
10
end
stringlengths
6
11
tactic
stringlengths
1
11.2k
state_before
stringlengths
3
2.09M
state_after
stringlengths
6
2.09M
input
stringlengths
73
2.09M
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity_explicit
[67, 1]
[85, 56]
apply Eq.symm
α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst) = ↑(CategoryTheory.inv β) (↑(π (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd)
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(CategoryTheory.inv β) (↑(π (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd) = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
Please generate a tactic in lean4 to solve the state. STATE: α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst) = ↑(CategoryTheory.inv β) (↑(π (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity_explicit
[67, 1]
[85, 56]
change (_ ≫ inv β) _ = _
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(CategoryTheory.inv β) (↑(π (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd) = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(π (↑(CategoryTheory.inv β) (↑f y)).fst ≫ CategoryTheory.inv β) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
Please generate a tactic in lean4 to solve the state. STATE: case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(CategoryTheory.inv β) (↑(π (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd) = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity_explicit
[67, 1]
[85, 56]
rw [this]
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(π (↑(CategoryTheory.inv β) (↑f y)).fst ≫ CategoryTheory.inv β) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(finiteCoproduct.ι Z (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
Please generate a tactic in lean4 to solve the state. STATE: case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(π (↑(CategoryTheory.inv β) (↑f y)).fst ≫ CategoryTheory.inv β) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity_explicit
[67, 1]
[85, 56]
rfl
case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(finiteCoproduct.ι Z (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h α : Type inst✝ : Fintype α X : Profinite Z : α → Profinite π : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X HIso : IsIso (finiteCoproduct.desc (fun a => Z a) π) β : (finiteCoproduct fun a => Z a) ⟶ X := finiteCoproduct.desc (fun a => Z a) π y : (forget Profinite).obj Y inj : Function.Injective ↑(CategoryTheory.inv β) this : ∀ (a : α), π a ≫ CategoryTheory.inv β = finiteCoproduct.ι Z a ⊢ ↑(finiteCoproduct.ι Z (↑(CategoryTheory.inv β) (↑f y)).fst) (y, (↑(CategoryTheory.inv β) (↑f y)).snd).snd = ↑(CategoryTheory.inv β) (↑f (y, (↑(CategoryTheory.inv β) (↑f y)).snd).fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
let θ := Sigma.mapIso (fun a => fromExplicitIso f (i a))
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) ⊢ IsIso (Sigma.desc fun x => Limits.pullback.fst)
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) ⊢ IsIso (Sigma.desc fun x => Limits.pullback.fst)
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) ⊢ IsIso (Sigma.desc fun x => Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
let δ := FromFiniteCoproductIso (fun a => Profinite.pullback f (i a))
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) ⊢ IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst)
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ⊢ IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst)
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) ⊢ IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
convert extensivity_explicit f HIso
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) ⊢ IsIso (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst)
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) ⊢ (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a)
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) ⊢ IsIso (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
refine' finiteCoproduct.hom_ext _ _ _ (fun a => _)
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) ⊢ (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a)
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) a : α ⊢ (finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a)
Please generate a tactic in lean4 to solve the state. STATE: case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) ⊢ (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
simp [← Category.assoc, finiteCoproduct.ι_desc, fromExplicit]
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) a : α ⊢ (finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) HIso : IsIso (finiteCoproduct.desc (fun a => Z a) i) a : α ⊢ (finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) = finiteCoproduct.ι (fun a => pullback f (i a)) a ≫ finiteCoproduct.desc (fun a => pullback f (i a)) fun a => pullback.fst f (i a) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
apply IsIso.of_isIso_comp_left θ.hom
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) this : IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) ⊢ IsIso (Sigma.desc fun x => Limits.pullback.fst)
no goals
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) this : IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) ⊢ IsIso (Sigma.desc fun x => Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
apply IsIso.of_isIso_comp_left δ.hom
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) this : IsIso (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) ⊢ IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst)
no goals
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) this : IsIso (δ.hom ≫ θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) ⊢ IsIso (θ.hom ≫ Sigma.desc fun x => Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
let ε := ToFiniteCoproductIso Z
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ⊢ IsIso (finiteCoproduct.desc (fun a => Z a) i)
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ IsIso (finiteCoproduct.desc (fun a => Z a) i)
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ⊢ IsIso (finiteCoproduct.desc (fun a => Z a) i) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
convert H
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ IsIso (ε.hom ≫ finiteCoproduct.desc Z i)
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.desc i
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ IsIso (ε.hom ≫ finiteCoproduct.desc Z i) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
refine' Sigma.hom_ext _ _ (fun a => _)
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.desc i
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z a : α ⊢ Sigma.ι Z a ≫ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.ι Z a ≫ Sigma.desc i
Please generate a tactic in lean4 to solve the state. STATE: case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z ⊢ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.desc i TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
simp [← Category.assoc]
case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z a : α ⊢ Sigma.ι Z a ≫ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.ι Z a ≫ Sigma.desc i
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.e'_5 α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z a : α ⊢ Sigma.ι Z a ≫ ε.hom ≫ finiteCoproduct.desc Z i = Sigma.ι Z a ≫ Sigma.desc i TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensivity
[87, 1]
[103, 64]
apply IsIso.of_isIso_comp_left ε.hom
α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z this : IsIso (ε.hom ≫ finiteCoproduct.desc Z i) ⊢ IsIso (finiteCoproduct.desc (fun a => Z a) i)
no goals
Please generate a tactic in lean4 to solve the state. STATE: α : Type x✝ : Fintype α X : Profinite Z : α → Profinite i : (a : α) → Z a ⟶ X Y : Profinite f : Y ⟶ X H : IsIso (Sigma.desc i) θ : (∐ fun a => pullback f (i a)) ≅ ∐ fun a => Limits.pullback f (i a) := Sigma.mapIso fun a => fromExplicitIso f (i a) δ : (finiteCoproduct fun a => pullback f (i a)) ≅ ∐ fun a => pullback f (i a) := FromFiniteCoproductIso fun a => pullback f (i a) ε : ∐ Z ≅ finiteCoproduct Z := ToFiniteCoproductIso Z this : IsIso (ε.hom ≫ finiteCoproduct.desc Z i) ⊢ IsIso (finiteCoproduct.desc (fun a => Z a) i) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
intro X Y Z f π hπ
⊢ EpiPullbackOfEpi Profinite
X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi Limits.pullback.fst
Please generate a tactic in lean4 to solve the state. STATE: ⊢ EpiPullbackOfEpi Profinite TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
suffices : Epi (fromExplicit f π ≫ (Limits.pullback.fst : Limits.pullback f π ⟶ Y))
X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi Limits.pullback.fst
X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π this : Epi (fromExplicit f π ≫ Limits.pullback.fst) ⊢ Epi Limits.pullback.fst case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi (fromExplicit f π ≫ Limits.pullback.fst)
Please generate a tactic in lean4 to solve the state. STATE: X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi Limits.pullback.fst TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
rw [Profinite.epi_iff_surjective] at hπ ⊢
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi (fromExplicit f π ≫ Limits.pullback.fst)
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π ⊢ Function.Surjective ↑(fromExplicit f π ≫ Limits.pullback.fst)
Please generate a tactic in lean4 to solve the state. STATE: case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π ⊢ Epi (fromExplicit f π ≫ Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
intro y
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π ⊢ Function.Surjective ↑(fromExplicit f π ≫ Limits.pullback.fst)
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
Please generate a tactic in lean4 to solve the state. STATE: case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π ⊢ Function.Surjective ↑(fromExplicit f π ≫ Limits.pullback.fst) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
obtain ⟨z,hz⟩ := hπ (f y)
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
Please generate a tactic in lean4 to solve the state. STATE: case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
have : fromExplicit f π ≫ Limits.pullback.fst = Profinite.pullback.fst f π
case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
Please generate a tactic in lean4 to solve the state. STATE: case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
rw [this]
case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y
case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(pullback.fst f π) a = y
Please generate a tactic in lean4 to solve the state. STATE: case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(fromExplicit f π ≫ Limits.pullback.fst) a = y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
exact ⟨⟨(y, z), hz.symm⟩, rfl⟩
case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(pullback.fst f π) a = y
no goals
Please generate a tactic in lean4 to solve the state. STATE: case this.intro X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y this : fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π ⊢ ∃ a, ↑(pullback.fst f π) a = y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
exact @epi_of_epi _ _ _ _ _ _ _ this
X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π this : Epi (fromExplicit f π ≫ Limits.pullback.fst) ⊢ Epi Limits.pullback.fst
no goals
Please generate a tactic in lean4 to solve the state. STATE: X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Epi π this : Epi (fromExplicit f π ≫ Limits.pullback.fst) ⊢ Epi Limits.pullback.fst TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
dsimp [fromExplicit]
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ Limits.pullback.lift (pullback.fst f π) (pullback.snd f π) (_ : pullback.fst f π ≫ f = pullback.snd f π ≫ π) ≫ Limits.pullback.fst = pullback.fst f π
Please generate a tactic in lean4 to solve the state. STATE: case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ fromExplicit f π ≫ Limits.pullback.fst = pullback.fst f π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.epi_pullback_of_epi
[105, 1]
[116, 33]
simp only [limit.lift_π, PullbackCone.mk_pt, PullbackCone.mk_π_app]
case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ Limits.pullback.lift (pullback.fst f π) (pullback.snd f π) (_ : pullback.fst f π ≫ f = pullback.snd f π ≫ π) ≫ Limits.pullback.fst = pullback.fst f π
no goals
Please generate a tactic in lean4 to solve the state. STATE: case this X Y Z : Profinite f : Y ⟶ X π : Z ⟶ X hπ : Function.Surjective ↑π y : (forget Profinite).obj Y z : (forget Profinite).obj Z hz : ↑π z = ↑f y ⊢ Limits.pullback.lift (pullback.fst f π) (pullback.snd f π) (_ : pullback.fst f π ≫ f = pullback.snd f π ≫ π) ≫ Limits.pullback.fst = pullback.fst f π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
ext X S
⊢ Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) = coherentTopology Profinite
case h.h.h X : Profinite S : Sieve X ⊢ S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ↔ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X
Please generate a tactic in lean4 to solve the state. STATE: ⊢ Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) = coherentTopology Profinite TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
constructor <;> intro h
case h.h.h X : Profinite S : Sieve X ⊢ S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ↔ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X
case h.h.h.mp X : Profinite S : Sieve X h : S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ⊢ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X case h.h.h.mpr X : Profinite S : Sieve X h : S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X ⊢ S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h X : Profinite S : Sieve X ⊢ S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ↔ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [Coverage.toGrothendieck] at *
case h.h.h.mp X : Profinite S : Sieve X h : S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ⊢ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X
case h.h.h.mp X : Profinite S : Sieve X h : S ∈ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) X ⊢ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp X : Profinite S : Sieve X h : S ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) X ⊢ S ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Coverage.saturate.of
case h.h.h.mp.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ T ∈ Coverage.covering (coherentCoverage Profinite) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [coherentCoverage]
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ T ∈ Coverage.covering (coherentCoverage Profinite) Y
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ T ∈ Coverage.covering (coherentCoverage Profinite) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [ExtensiveRegularCoverage'] at hT
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Or.elim hT <;> intro h
case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.left X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ ExtensiveSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π case h.h.h.mp.of.hS.right X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨α, x, Xmap, π, h⟩ := h
case h.h.h.mp.of.hS.left X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ ExtensiveSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ ExtensiveSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use α
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use x
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use Xmap
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ π, T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ π, T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ ∃ π, T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
refine' ⟨h.1,_⟩
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ T = ofArrows Xmap π ∧ EffectiveEpiFamily Xmap π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
have he := (effectiveEpiFamily_tfae Xmap π).out 0 1
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [he]
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ Epi (Sigma.desc π)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ EffectiveEpiFamily Xmap π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
letI := h.2
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ Epi (Sigma.desc π)
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) this : IsIso (Sigma.desc π) := h.right ⊢ Epi (Sigma.desc π)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) ⊢ Epi (Sigma.desc π) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
exact inferInstance
case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) this : IsIso (Sigma.desc π) := h.right ⊢ Epi (Sigma.desc π)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.left.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y α : Type x : Fintype α Xmap : α → Profinite π : (a : α) → Xmap a ⟶ Y h : T = ofArrows Xmap π ∧ IsIso (Sigma.desc π) he : EffectiveEpiFamily Xmap π ↔ Epi (Sigma.desc π) this : IsIso (Sigma.desc π) := h.right ⊢ Epi (Sigma.desc π) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨Z, f, h⟩ := h
case h.h.h.mp.of.hS.right X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y h : T ∈ RegularSieve Y ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use Unit
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use inferInstance
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use (fun _ ↦ Z)
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ π, T = ofArrows (fun x => Z) π ∧ EffectiveEpiFamily (fun x => Z) π
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ X π, T = ofArrows X π ∧ EffectiveEpiFamily X π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use (fun _ ↦ f)
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ π, T = ofArrows (fun x => Z) π ∧ EffectiveEpiFamily (fun x => Z) π
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ (T = ofArrows (fun x => Z) fun x => f) ∧ EffectiveEpiFamily (fun x => Z) fun x => f
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ ∃ π, T = ofArrows (fun x => Z) π ∧ EffectiveEpiFamily (fun x => Z) π TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
refine' ⟨h.1,_⟩
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ (T = ofArrows (fun x => Z) fun x => f) ∧ EffectiveEpiFamily (fun x => Z) fun x => f
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ EffectiveEpiFamily (fun x => Z) fun x => f
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ (T = ofArrows (fun x => Z) fun x => f) ∧ EffectiveEpiFamily (fun x => Z) fun x => f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
have he := (effectiveEpiFamily_tfae (fun (_ : Unit) ↦ Z) (fun _ ↦ f)).out 0 1
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ EffectiveEpiFamily (fun x => Z) fun x => f
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ EffectiveEpiFamily (fun x => Z) fun x => f
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f ⊢ EffectiveEpiFamily (fun x => Z) fun x => f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [he]
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ EffectiveEpiFamily (fun x => Z) fun x => f
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Epi (Sigma.desc fun x => f)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ EffectiveEpiFamily (fun x => Z) fun x => f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [Profinite.epi_iff_surjective _] at h ⊢
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Epi (Sigma.desc fun x => f)
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Function.Surjective ↑(Sigma.desc fun x => f)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Epi f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Epi (Sigma.desc fun x => f) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
intro x
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Function.Surjective ↑(Sigma.desc fun x => f)
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) ⊢ Function.Surjective ↑(Sigma.desc fun x => f) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨y,hy⟩ := h.2 x
case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use Sigma.ι (fun (_ : Unit) ↦ Z) Unit.unit y
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = x
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ∃ a, ↑(Sigma.desc fun x => f) a = x TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [← hy]
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = x
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = x TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
suffices : (f : Z → Y) = Sigma.ι (fun (_ : Unit) ↦ Z) Unit.unit ≫ Sigma.desc (fun _ ↦ f)
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
simp only [colimit.ι_desc, Cofan.mk_pt, Cofan.mk_ι_app]
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x ⊢ ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [this]
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑f y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rfl
case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) y
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.of.hS.right.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ ExtensiveSieve Y ∪ RegularSieve Y Z : Profinite f : Z ⟶ Y h : (T = ofArrows (fun x => Z) fun x => f) ∧ Function.Surjective ↑f he : (EffectiveEpiFamily (fun x => Z) fun x => f) ↔ Epi (Sigma.desc fun x => f) x : (forget Profinite).obj Y y : (forget Profinite).obj Z hy : ↑f y = x this : ↑f = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) ⊢ ↑(Sigma.desc fun x => f) (↑(Sigma.ι (fun x => Z) ()) y) = ↑(Sigma.ι (fun x => Z) () ≫ Sigma.desc fun x => f) y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Coverage.saturate.top
case h.h.h.mp.top X : Profinite S : Sieve X X✝ : Profinite ⊢ ⊤ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X✝
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.top X : Profinite S : Sieve X X✝ : Profinite ⊢ ⊤ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) X✝ TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Coverage.saturate.transitive Y T
case h.h.h.mp.transitive X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y
case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ Coverage.saturate (coherentCoverage Profinite) Y T case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (coherentCoverage Profinite) Y_1 (Sieve.pullback f S✝)
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.transitive X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
assumption
case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ Coverage.saturate (coherentCoverage Profinite) Y T
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ Coverage.saturate (coherentCoverage Profinite) Y T TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
assumption
case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (coherentCoverage Profinite) Y_1 (Sieve.pullback f S✝)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mp.transitive.a X : Profinite S : Sieve X Y : Profinite T S✝ : Sieve Y a✝¹ : Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y T a✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f S✝) a_ih✝¹ : T ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y a_ih✝ : ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Sieve.pullback f S✝ ∈ GrothendieckTopology.sieves (coherentTopology Profinite) Y_1 ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, T.arrows f → Coverage.saturate (coherentCoverage Profinite) Y_1 (Sieve.pullback f S✝) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [coherentCoverage] at hT
case h.h.h.mpr.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (coherentCoverage Profinite) Y ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : T ∈ Coverage.covering (coherentCoverage Profinite) Y ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨I, hI, Xmap, f, ⟨h, hT⟩⟩ := hT
case h.h.h.mpr.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of X : Profinite S : Sieve X Y : Profinite T : Presieve Y hT : ∃ α x X π, T = ofArrows X π ∧ EffectiveEpiFamily X π ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
have he := (effectiveEpiFamily_tfae Xmap f).out 0 1
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [he] at hT
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : EffectiveEpiFamily Xmap f he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
let φ := fun (i : I) ↦ Sigma.ι Xmap i
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
let F := Sigma.desc f
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
let Z := Sieve.generate T
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
let Xs := (∐ fun (i : I) => Xmap i)
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
let Zf : Sieve Y := Sieve.generate (Presieve.ofArrows (fun (_ : Unit) ↦ Xs) (fun (_ : Unit) ↦ F))
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Coverage.saturate.transitive Y Zf
case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y Zf case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, Zf.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Sieve.generate T ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply Coverage.saturate.of
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y Zf
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => Xs) fun x => F) ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y Zf TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [ExtensiveRegularCoverage']
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => Xs) fun x => F) ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∪ RegularSieve Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => Xs) fun x => F) ∈ Coverage.covering (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
simp only [Set.mem_union, Set.mem_setOf_eq]
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∪ RegularSieve Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∨ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∪ RegularSieve Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
right
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∨ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ ExtensiveSieve Y ∨ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use Xs
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∃ f_1, ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => f_1) ∧ Epi f_1
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ (ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) ∈ RegularSieve Y TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
use F
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∃ f_1, ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => f_1) ∧ Epi f_1
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => F) ∧ Epi F
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∃ f_1, ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => f_1) ∧ Epi f_1 TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
refine' ⟨rfl, inferInstance⟩
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => F) ∧ Epi F
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.hS.h X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ((ofArrows (fun x => ∐ fun i => Xmap i) fun x => Sigma.desc f) = ofArrows (fun x => Xs) fun x => F) ∧ Epi F TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
intro R g hZfg
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, Zf.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : Zf.arrows g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) ⊢ ∀ ⦃Y_1 : Profinite⦄ ⦃f : Y_1 ⟶ Y⦄, Zf.arrows f → Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Y_1 (Sieve.pullback f (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp at hZfg
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : Zf.arrows g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, ofArrows (fun x => ∐ fun i => Xmap i) (fun x => Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : Zf.arrows g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [Presieve.ofArrows_pUnit] at hZfg
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, ofArrows (fun x => ∐ fun i => Xmap i) (fun x => Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, Presieve.singleton (Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, ofArrows (fun x => ∐ fun i => Xmap i) (fun x => Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨W, ψ, σ, ⟨hW, hW'⟩⟩ := hZfg
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, Presieve.singleton (Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : Presieve.singleton (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y hZfg : ∃ Y_1 h g_1, Presieve.singleton (Sigma.desc f) g_1 ∧ h ≫ g_1 = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [Presieve.singleton] at hW
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : Presieve.singleton (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : singleton' (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : Presieve.singleton (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
induction hW
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : singleton' (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite ψ : R ⟶ W σ : W ⟶ Y hW : singleton' (Sigma.desc f) σ hW' : ψ ≫ σ = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
rw [← hW', Sieve.pullback_comp Z]
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z))
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback g (Sieve.generate T)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
suffices : Sieve.pullback ψ ((Sieve.pullback F) Z) ∈ GrothendieckTopology.sieves (ExtensiveRegularCoverage' _ _ _).toGrothendieck R
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z))
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g this : Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite ?m.588132 ?m.588133)) R ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z)) case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite ?m.588132 ?m.588133)) R
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z)) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
apply GrothendieckTopology.pullback_stable'
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) R
case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback F Z ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) (∐ fun i => Xmap i)
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) R TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
dsimp [Coverage.toGrothendieck]
case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback F Z ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) (∐ fun i => Xmap i)
case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback (Sigma.desc f) (Sieve.generate T) ∈ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) (∐ fun i => Xmap i)
Please generate a tactic in lean4 to solve the state. STATE: case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback F Z ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst)))) (∐ fun i => Xmap i) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
suffices : Coverage.saturate (ExtensiveRegularCoverage' _ _ _) Xs (Z.pullback F)
case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback (Sigma.desc f) (Sieve.generate T) ∈ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) (∐ fun i => Xmap i)
case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g this : Coverage.saturate (ExtensiveRegularCoverage' Profinite ?m.593517 ?m.593518) Xs (Sieve.pullback F Z) ⊢ Sieve.pullback (Sigma.desc f) (Sieve.generate T) ∈ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) (∐ fun i => Xmap i) case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite ?m.593517 ?m.593518) Xs (Sieve.pullback F Z)
Please generate a tactic in lean4 to solve the state. STATE: case this.a X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.pullback (Sigma.desc f) (Sieve.generate T) ∈ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) (∐ fun i => Xmap i) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
suffices : Sieve.generate (Presieve.ofArrows Xmap φ) ≤ Z.pullback F
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Xs (Sieve.pullback F Z)
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g this : Sieve.generate (ofArrows Xmap φ) ≤ Sieve.pullback F Z ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Xs (Sieve.pullback F Z) case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.generate (ofArrows Xmap φ) ≤ Sieve.pullback F Z
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) Xs (Sieve.pullback F Z) TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
intro Q q hq
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.generate (ofArrows Xmap φ) ≤ Sieve.pullback F Z
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ (Sieve.pullback F Z).arrows q
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g ⊢ Sieve.generate (ofArrows Xmap φ) ≤ Sieve.pullback F Z TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
simp only [Sieve.pullback_apply, Sieve.generate_apply]
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ (Sieve.pullback F Z).arrows q
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ (Sieve.pullback F Z).arrows q TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
simp only [Sieve.generate_apply] at hq
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : ∃ Y h g, ofArrows Xmap (fun i => Sigma.ι Xmap i) g ∧ h ≫ g = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : (Sieve.generate (ofArrows Xmap φ)).arrows q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
obtain ⟨E, e, r, hq⟩ := hq
case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : ∃ Y h g, ofArrows Xmap (fun i => Sigma.ι Xmap i) g ∧ h ≫ g = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
case this.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap E : Profinite e : Q ⟶ E r : E ⟶ ∐ Xmap hq : ofArrows Xmap (fun i => Sigma.ι Xmap i) r ∧ e ≫ r = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
Please generate a tactic in lean4 to solve the state. STATE: case this X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap hq : ∃ Y h g, ofArrows Xmap (fun i => Sigma.ι Xmap i) g ∧ h ≫ g = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
refine' ⟨E, e, r ≫ F, ⟨_, _⟩⟩
case this.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap E : Profinite e : Q ⟶ E r : E ⟶ ∐ Xmap hq : ofArrows Xmap (fun i => Sigma.ι Xmap i) r ∧ e ≫ r = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f
case this.intro.intro.intro.refine'_1 X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap E : Profinite e : Q ⟶ E r : E ⟶ ∐ Xmap hq : ofArrows Xmap (fun i => Sigma.ι Xmap i) r ∧ e ≫ r = q ⊢ T (r ≫ F) case this.intro.intro.intro.refine'_2 X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap E : Profinite e : Q ⟶ E r : E ⟶ ∐ Xmap hq : ofArrows Xmap (fun i => Sigma.ι Xmap i) r ∧ e ≫ r = q ⊢ e ≫ r ≫ F = q ≫ Sigma.desc f
Please generate a tactic in lean4 to solve the state. STATE: case this.intro.intro.intro X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g Q : Profinite q : Q ⟶ ∐ Xmap E : Profinite e : Q ⟶ E r : E ⟶ ∐ Xmap hq : ofArrows Xmap (fun i => Sigma.ι Xmap i) r ∧ e ≫ r = q ⊢ ∃ Y_1 h g, T g ∧ h ≫ g = q ≫ Sigma.desc f TACTIC:
https://github.com/adamtopaz/CopenhagenMasterclass2023.git
a293ca1554f7e80d891fd4d86fb092c54d8a0a01
Profinite/ExplicitSheaves.lean
Profinite.extensiveRegular_generates_coherent
[118, 1]
[227, 21]
exact this
case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g this : Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite ?m.588132 ?m.588133)) R ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z))
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.h.h.mpr.of.intro.intro.intro.intro.intro.a.intro.intro.intro.intro.mk X : Profinite S : Sieve X Y : Profinite T : Presieve Y I : Type hI : Fintype I Xmap : I → Profinite f : (a : I) → Xmap a ⟶ Y h : T = ofArrows Xmap f hT : Epi (Sigma.desc f) he : EffectiveEpiFamily Xmap f ↔ Epi (Sigma.desc f) φ : (i : I) → Xmap i ⟶ ∐ Xmap := fun i => Sigma.ι Xmap i F : (∐ fun b => Xmap b) ⟶ Y := Sigma.desc f Z : Sieve Y := Sieve.generate T Xs : Profinite := ∐ fun i => Xmap i Zf : Sieve Y := Sieve.generate (ofArrows (fun x => Xs) fun x => F) R : Profinite g : R ⟶ Y W : Profinite σ : W ⟶ Y ψ : R ⟶ ∐ fun i => Xmap i hW' : ψ ≫ Sigma.desc f = g this : Sieve.pullback ψ (Sieve.pullback F Z) ∈ GrothendieckTopology.sieves (Coverage.toGrothendieck Profinite (ExtensiveRegularCoverage' Profinite ?m.588132 ?m.588133)) R ⊢ Coverage.saturate (ExtensiveRegularCoverage' Profinite (_ : ∀ {X Y Z : Profinite} (f : Y ⟶ X) (π : Z ⟶ X) [inst : Epi π], Epi Limits.pullback.fst) (_ : ∀ {α : Type} [inst : Fintype α] {X : Profinite} {Z : α → Profinite} (π : (a : α) → Z a ⟶ X) {Y : Profinite} (f : Y ⟶ X) (x : IsIso (Sigma.desc π)), IsIso (Sigma.desc fun x_1 => Limits.pullback.fst))) R (Sieve.pullback ψ (Sieve.pullback (Sigma.desc f) Z)) TACTIC: