Response:
by
  refine ⟨fun h a x ↦ ?_, fun h a b x y ↦ ?_⟩
  · obtain ⟨a, ma, rfl⟩ := x
    exact ⟨a.2, fun b x y ↦ by simpa [h (show ⟨b, y⟩ ≤ a by exact x) ma]⟩
  · have ma : a.1 ∈ Subtype.val '' s := by simp [a.2, y]
    simpa only [mem_image, Subtype.coe_inj, exists_eq_right] using (h ma).2 x b.2

[User]
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Data.Set.Image
public import Mathlib.Data.SetLike.Basic
public import Mathlib.Order.Interval.Set.Defs
public import Mathlib.Order.SetNotation

Namespace:
(root)

Local context:
/-
Copyright (c) 2025 Jeremy Tan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Tan
-/
/-!
# Properties of relative upper/lower sets

This file proves results on `IsRelUpperSet` and `IsRelLowerSet`.
-/

public section

open Set

variable {α : Type*} {ι : Sort*} {κ : ι → Sort*} {s t : Set α} {a b : α} {P : α → Prop}

section LE

variable [LE α]

@[simp] lemma isRelUpperSet_true_iff_isUpperSet :
    IsRelUpperSet s (fun _ ↦ True) ↔ IsUpperSet s := by
  grind [IsUpperSet, IsRelUpperSet]

@[simp] lemma isRelLowerSet_true_iff_isLowerSet :
    IsRelLowerSet s (fun _ ↦ True) ↔ IsLowerSet s := by
  grind [IsLowerSet, IsRelLowerSet]

variable (P) in
lemma IsUpperSet.isRelUpperSet_sep (hs : IsUpperSet s) : IsRelUpperSet {x ∈ s | P x} P :=
  fun _ h => ⟨h.2, fun _ ht hp => ⟨hs ht h.1, hp⟩⟩
variable (P) in
lemma IsLowerSet.isRelLowerSet_sep (hs : IsLowerSet s) : IsRelLowerSet {x ∈ s | P x} P :=
  fun _ h => ⟨h.2, fun _ ht hp => ⟨hs ht h.1, hp⟩⟩

/-- A subset that is a lower set is additionally a _relative_ lower set. -/
lemma IsRelLowerSet.mono_isLowerSet (ht : IsRelLowerSet t P) (hs : IsLowerSet s) (hst : s ⊆ t) :
    IsRelLowerSet s P :=
  fun _ h => ⟨(ht (hst h)).1, fun _ ht _ => hs ht h⟩

/-- A subset that is an upper set is additionally a _relative_ upper set. -/
lemma IsRelUpperSet.mono_isUpperSet (ht : IsRelUpperSet t P) (hs : IsUpperSet s) (hst : s ⊆ t) :
    IsRelUpperSet s P :=
  fun _ h => ⟨(ht (hst h)).1, fun _ ht _ => hs ht h⟩

lemma IsRelUpperSet.prop_of_mem (hs : IsRelUpperSet s P) (h : a ∈ s) : P a := (hs h).1
lemma IsRelLowerSet.prop_of_mem (hs : IsRelLowerSet s P) (h : a ∈ s) : P a := (hs h).1

lemma IsRelUpperSet.mem_of_le (hs : IsRelUpperSet s P) (h : a ∈ s) (h₁ : a ≤ b) (h₂ : P b) :
    b ∈ s := (hs h).2 h₁ h₂
lemma IsRelLowerSet.mem_of_le (hs : IsRelLowerSet s P) (h : a ∈ s) (h₁ : b ≤ a) (h₂ : P b) :
    b ∈ s := (hs h).2 h₁ h₂

@[simp] lemma isRelUpperSet_empty : IsRelUpperSet (∅ : Set α) P := fun _ ↦ False.elim
@[simp] lemma isRelLowerSet_empty : IsRelLowerSet (∅ : Set α) P := fun _ ↦ False.elim

@[simp] lemma isRelUpperSet_self : IsRelUpperSet s (· ∈ s) := fun _ b ↦ ⟨b, fun _ _ ↦ id⟩
@[simp] lemma isRelLowerSet_self : IsRelLowerSet s (· ∈ s) := fun _ b ↦ ⟨b, fun _ _ ↦ id⟩

lemma IsRelUpperSet.union (hs : IsRelUpperSet s P) (ht : IsRelUpperSet t P) :
    IsRelUpperSet (s ∪ t) P := fun b mb ↦ by
  cases mb with
  | inl h => exact ⟨(hs h).1, fun _ x y ↦ .inl ((hs h).2 x y)⟩
  | inr h => exact ⟨(ht h).1, fun _ x y ↦ .inr ((ht h).2 x y)⟩

lemma IsRelLowerSet.union (hs : IsRelLowerSet s P) (ht : IsRelLowerSet t P) :
    IsRelLowerSet (s ∪ t) P := fun b mb ↦ by
  cases mb with
  | inl h => exact ⟨(hs h).1, fun _ x y ↦ .inl ((hs h).2 x y)⟩
  | inr h => exact ⟨(ht h).1, fun _ x y ↦ .inr ((ht h).2 x y)⟩

lemma IsRelUpperSet.inter (hs : IsRelUpperSet s P) (ht : IsRelUpperSet t P) :
    IsRelUpperSet (s ∩ t) P := fun b ⟨bs, bt⟩ ↦ by
  simp_all only [IsRelUpperSet, true_and]
  exact fun _ x y ↦ ⟨(hs bs).2 x y, (ht bt).2 x y⟩

lemma IsRelLowerSet.inter (hs : IsRelLowerSet s P) (ht : IsRelLowerSet t P) :
    IsRelLowerSet (s ∩ t) P := fun b ⟨bs, bt⟩ ↦ by
  simp_all only [IsRelLowerSet, true_and]
  exact fun _ x y ↦ ⟨(hs bs).2 x y, (ht bt).2 x y⟩

protected lemma IsRelUpperSet.sUnion {S : Set (Set α)} (hS : ∀ s ∈ S, IsRelUpperSet s P) :
    IsRelUpperSet (⋃₀ S) P := fun _ ⟨s, ms, mb⟩ ↦
  ⟨(hS s ms mb).1, fun _ x y ↦ ⟨s, ms, (hS s ms mb).2 x y⟩⟩

protected lemma IsRelLowerSet.sUnion {S : Set (Set α)} (hS : ∀ s ∈ S, IsRelLowerSet s P) :
    IsRelLowerSet (⋃₀ S) P := fun _ ⟨s, ms, mb⟩ ↦
  ⟨(hS s ms mb).1, fun _ x y ↦ ⟨s, ms, (hS s ms mb).2 x y⟩⟩

protected lemma IsRelUpperSet.iUnion {f : ι → Set α} (hf : ∀ i, IsRelUpperSet (f i) P) :
    IsRelUpperSet (⋃ i, f i) P :=
  .sUnion (forall_mem_range.2 hf)

protected lemma IsRelLowerSet.iUnion {f : ι → Set α} (hf : ∀ i, IsRelLowerSet (f i) P) :
    IsRelLowerSet (⋃ i, f i) P :=
  .sUnion (forall_mem_range.2 hf)

protected lemma IsRelUpperSet.iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelUpperSet (f i j) P) :
    IsRelUpperSet (⋃ (i) (j), f i j) P :=
  .iUnion fun i ↦ .iUnion (hf i)

protected lemma IsRelLowerSet.iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelLowerSet (f i j) P) :
    IsRelLowerSet (⋃ (i) (j), f i j) P :=
  .iUnion fun i ↦ .iUnion (hf i)

protected lemma IsRelUpperSet.sInter
    {S : Set (Set α)} (hS : S.Nonempty) (hf : ∀ s ∈ S, IsRelUpperSet s P) :
    IsRelUpperSet (⋂₀ S) P := fun b mb ↦ by
  obtain ⟨s₀, ms₀⟩ := hS
  refine ⟨(hf s₀ ms₀ (mb s₀ ms₀)).1, fun _ x y s ms ↦ (hf s ms (mb s ms)).2 x y⟩

protected lemma IsRelLowerSet.sInter
    {S : Set (Set α)} (hS : S.Nonempty) (hf : ∀ s ∈ S, IsRelLowerSet s P) :
    IsRelLowerSet (⋂₀ S) P := fun b mb ↦ by
  obtain ⟨s₀, ms₀⟩ := hS
  refine ⟨(hf s₀ ms₀ (mb s₀ ms₀)).1, fun _ x y s ms ↦ (hf s ms (mb s ms)).2 x y⟩

protected lemma IsRelUpperSet.iInter
    [Nonempty ι] {f : ι → Set α} (hf : ∀ i, IsRelUpperSet (f i) P) : IsRelUpperSet (⋂ i, f i) P :=
  .sInter (range_nonempty f) (forall_mem_range.2 hf)

protected lemma IsRelLowerSet.iInter
    [Nonempty ι] {f : ι → Set α} (hf : ∀ i, IsRelLowerSet (f i) P) : IsRelLowerSet (⋂ i, f i) P :=
  .sInter (range_nonempty f) (forall_mem_range.2 hf)

protected lemma IsRelUpperSet.iInter₂ [Nonempty ι] [∀ i, Nonempty (κ i)]
    {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelUpperSet (f i j) P) :
    IsRelUpperSet (⋂ (i) (j), f i j) P :=
  .iInter fun i ↦ .iInter (hf i)

protected lemma IsRelLowerSet.iInter₂ [Nonempty ι] [∀ i, Nonempty (κ i)]
    {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelLowerSet (f i j) P) :
    IsRelLowerSet (⋂ (i) (j), f i j) P :=
  .iInter fun i ↦ .iInter (hf i)

lemma isUpperSet_subtype_iff_isRelUpperSet {s : Set { x // P x }} :
    IsUpperSet s ↔ IsRelUpperSet (Subtype.val '' s) P := by
  refine ⟨fun h a x ↦ ?_, fun h a b x y ↦ ?_⟩
  · obtain ⟨a, ma, rfl⟩ := x
    exact ⟨a.2, fun b x y ↦ by simpa [h (show a ≤ ⟨b, y⟩ by exact x) ma]⟩
  · have ma : a.1 ∈ Subtype.val '' s := by simp [a.2, y]
    simpa only [mem_image, Subtype.coe_inj, exists_eq_right] using (h ma).2 x b.2

Target:
lemma isLowerSet_subtype_iff_isRelLowerSet {s : Set { x // P x }} :
    IsLowerSet s ↔ IsRelLowerSet (Subtype.val '' s) P :=

Proof body:

[Assistant]
by
  refine ⟨fun h a x ↦ ?_, fun h a b x y ↦ ?_⟩
  · obtain ⟨a, ma, rfl⟩ := x
    exact ⟨a.2, fun b x y ↦ by simpa [h (show ⟨b, y⟩ ≤ a by exact x) ma]⟩
  · have ma : a.1 ∈ Subtype.val '' s := by simp [a.2, y]
    simpa only [mem_image, Subtype.coe_inj, exists_eq_right] using (h ma).2 x b.2

Prompt:
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Data.Set.Image
public import Mathlib.Data.SetLike.Basic
public import Mathlib.Order.Interval.Set.Defs
public import Mathlib.Order.SetNotation

Namespace:
(root)

Local context:
/-
Copyright (c) 2025 Jeremy Tan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Tan
-/
/-!
# Properties of relative upper/lower sets

This file proves results on `IsRelUpperSet` and `IsRelLowerSet`.
-/

public section

open Set

variable {α : Type*} {ι : Sort*} {κ : ι → Sort*} {s t : Set α} {a b : α} {P : α → Prop}

section LE

variable [LE α]

@[simp] lemma isRelUpperSet_true_iff_isUpperSet :
    IsRelUpperSet s (fun _ ↦ True) ↔ IsUpperSet s := by
  grind [IsUpperSet, IsRelUpperSet]

@[simp] lemma isRelLowerSet_true_iff_isLowerSet :
    IsRelLowerSet s (fun _ ↦ True) ↔ IsLowerSet s := by
  grind [IsLowerSet, IsRelLowerSet]

variable (P) in
lemma IsUpperSet.isRelUpperSet_sep (hs : IsUpperSet s) : IsRelUpperSet {x ∈ s | P x} P :=
  fun _ h => ⟨h.2, fun _ ht hp => ⟨hs ht h.1, hp⟩⟩
variable (P) in
lemma IsLowerSet.isRelLowerSet_sep (hs : IsLowerSet s) : IsRelLowerSet {x ∈ s | P x} P :=
  fun _ h => ⟨h.2, fun _ ht hp => ⟨hs ht h.1, hp⟩⟩

/-- A subset that is a lower set is additionally a _relative_ lower set. -/
lemma IsRelLowerSet.mono_isLowerSet (ht : IsRelLowerSet t P) (hs : IsLowerSet s) (hst : s ⊆ t) :
    IsRelLowerSet s P :=
  fun _ h => ⟨(ht (hst h)).1, fun _ ht _ => hs ht h⟩

/-- A subset that is an upper set is additionally a _relative_ upper set. -/
lemma IsRelUpperSet.mono_isUpperSet (ht : IsRelUpperSet t P) (hs : IsUpperSet s) (hst : s ⊆ t) :
    IsRelUpperSet s P :=
  fun _ h => ⟨(ht (hst h)).1, fun _ ht _ => hs ht h⟩

lemma IsRelUpperSet.prop_of_mem (hs : IsRelUpperSet s P) (h : a ∈ s) : P a := (hs h).1
lemma IsRelLowerSet.prop_of_mem (hs : IsRelLowerSet s P) (h : a ∈ s) : P a := (hs h).1

lemma IsRelUpperSet.mem_of_le (hs : IsRelUpperSet s P) (h : a ∈ s) (h₁ : a ≤ b) (h₂ : P b) :
    b ∈ s := (hs h).2 h₁ h₂
lemma IsRelLowerSet.mem_of_le (hs : IsRelLowerSet s P) (h : a ∈ s) (h₁ : b ≤ a) (h₂ : P b) :
    b ∈ s := (hs h).2 h₁ h₂

@[simp] lemma isRelUpperSet_empty : IsRelUpperSet (∅ : Set α) P := fun _ ↦ False.elim
@[simp] lemma isRelLowerSet_empty : IsRelLowerSet (∅ : Set α) P := fun _ ↦ False.elim

@[simp] lemma isRelUpperSet_self : IsRelUpperSet s (· ∈ s) := fun _ b ↦ ⟨b, fun _ _ ↦ id⟩
@[simp] lemma isRelLowerSet_self : IsRelLowerSet s (· ∈ s) := fun _ b ↦ ⟨b, fun _ _ ↦ id⟩

lemma IsRelUpperSet.union (hs : IsRelUpperSet s P) (ht : IsRelUpperSet t P) :
    IsRelUpperSet (s ∪ t) P := fun b mb ↦ by
  cases mb with
  | inl h => exact ⟨(hs h).1, fun _ x y ↦ .inl ((hs h).2 x y)⟩
  | inr h => exact ⟨(ht h).1, fun _ x y ↦ .inr ((ht h).2 x y)⟩

lemma IsRelLowerSet.union (hs : IsRelLowerSet s P) (ht : IsRelLowerSet t P) :
    IsRelLowerSet (s ∪ t) P := fun b mb ↦ by
  cases mb with
  | inl h => exact ⟨(hs h).1, fun _ x y ↦ .inl ((hs h).2 x y)⟩
  | inr h => exact ⟨(ht h).1, fun _ x y ↦ .inr ((ht h).2 x y)⟩

lemma IsRelUpperSet.inter (hs : IsRelUpperSet s P) (ht : IsRelUpperSet t P) :
    IsRelUpperSet (s ∩ t) P := fun b ⟨bs, bt⟩ ↦ by
  simp_all only [IsRelUpperSet, true_and]
  exact fun _ x y ↦ ⟨(hs bs).2 x y, (ht bt).2 x y⟩

lemma IsRelLowerSet.inter (hs : IsRelLowerSet s P) (ht : IsRelLowerSet t P) :
    IsRelLowerSet (s ∩ t) P := fun b ⟨bs, bt⟩ ↦ by
  simp_all only [IsRelLowerSet, true_and]
  exact fun _ x y ↦ ⟨(hs bs).2 x y, (ht bt).2 x y⟩

protected lemma IsRelUpperSet.sUnion {S : Set (Set α)} (hS : ∀ s ∈ S, IsRelUpperSet s P) :
    IsRelUpperSet (⋃₀ S) P := fun _ ⟨s, ms, mb⟩ ↦
  ⟨(hS s ms mb).1, fun _ x y ↦ ⟨s, ms, (hS s ms mb).2 x y⟩⟩

protected lemma IsRelLowerSet.sUnion {S : Set (Set α)} (hS : ∀ s ∈ S, IsRelLowerSet s P) :
    IsRelLowerSet (⋃₀ S) P := fun _ ⟨s, ms, mb⟩ ↦
  ⟨(hS s ms mb).1, fun _ x y ↦ ⟨s, ms, (hS s ms mb).2 x y⟩⟩

protected lemma IsRelUpperSet.iUnion {f : ι → Set α} (hf : ∀ i, IsRelUpperSet (f i) P) :
    IsRelUpperSet (⋃ i, f i) P :=
  .sUnion (forall_mem_range.2 hf)

protected lemma IsRelLowerSet.iUnion {f : ι → Set α} (hf : ∀ i, IsRelLowerSet (f i) P) :
    IsRelLowerSet (⋃ i, f i) P :=
  .sUnion (forall_mem_range.2 hf)

protected lemma IsRelUpperSet.iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelUpperSet (f i j) P) :
    IsRelUpperSet (⋃ (i) (j), f i j) P :=
  .iUnion fun i ↦ .iUnion (hf i)

protected lemma IsRelLowerSet.iUnion₂ {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelLowerSet (f i j) P) :
    IsRelLowerSet (⋃ (i) (j), f i j) P :=
  .iUnion fun i ↦ .iUnion (hf i)

protected lemma IsRelUpperSet.sInter
    {S : Set (Set α)} (hS : S.Nonempty) (hf : ∀ s ∈ S, IsRelUpperSet s P) :
    IsRelUpperSet (⋂₀ S) P := fun b mb ↦ by
  obtain ⟨s₀, ms₀⟩ := hS
  refine ⟨(hf s₀ ms₀ (mb s₀ ms₀)).1, fun _ x y s ms ↦ (hf s ms (mb s ms)).2 x y⟩

protected lemma IsRelLowerSet.sInter
    {S : Set (Set α)} (hS : S.Nonempty) (hf : ∀ s ∈ S, IsRelLowerSet s P) :
    IsRelLowerSet (⋂₀ S) P := fun b mb ↦ by
  obtain ⟨s₀, ms₀⟩ := hS
  refine ⟨(hf s₀ ms₀ (mb s₀ ms₀)).1, fun _ x y s ms ↦ (hf s ms (mb s ms)).2 x y⟩

protected lemma IsRelUpperSet.iInter
    [Nonempty ι] {f : ι → Set α} (hf : ∀ i, IsRelUpperSet (f i) P) : IsRelUpperSet (⋂ i, f i) P :=
  .sInter (range_nonempty f) (forall_mem_range.2 hf)

protected lemma IsRelLowerSet.iInter
    [Nonempty ι] {f : ι → Set α} (hf : ∀ i, IsRelLowerSet (f i) P) : IsRelLowerSet (⋂ i, f i) P :=
  .sInter (range_nonempty f) (forall_mem_range.2 hf)

protected lemma IsRelUpperSet.iInter₂ [Nonempty ι] [∀ i, Nonempty (κ i)]
    {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelUpperSet (f i j) P) :
    IsRelUpperSet (⋂ (i) (j), f i j) P :=
  .iInter fun i ↦ .iInter (hf i)

protected lemma IsRelLowerSet.iInter₂ [Nonempty ι] [∀ i, Nonempty (κ i)]
    {f : ∀ i, κ i → Set α} (hf : ∀ i j, IsRelLowerSet (f i j) P) :
    IsRelLowerSet (⋂ (i) (j), f i j) P :=
  .iInter fun i ↦ .iInter (hf i)

lemma isUpperSet_subtype_iff_isRelUpperSet {s : Set { x // P x }} :
    IsUpperSet s ↔ IsRelUpperSet (Subtype.val '' s) P := by
  refine ⟨fun h a x ↦ ?_, fun h a b x y ↦ ?_⟩
  · obtain ⟨a, ma, rfl⟩ := x
    exact ⟨a.2, fun b x y ↦ by simpa [h (show a ≤ ⟨b, y⟩ by exact x) ma]⟩
  · have ma : a.1 ∈ Subtype.val '' s := by simp [a.2, y]
    simpa only [mem_image, Subtype.coe_inj, exists_eq_right] using (h ma).2 x b.2

Target:
lemma isLowerSet_subtype_iff_isRelLowerSet {s : Set { x // P x }} :
    IsLowerSet s ↔ IsRelLowerSet (Subtype.val '' s) P :=

Proof body:


<LEAN_FILE>:80:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_c23bf78171`
<LEAN_FILE>:55:0: error: unsolved goals
C : Type u
inst✝² : Category.{v, u} C
J : Type w
inst✝¹ : Category.{v_1, w} J
inst✝ : HasLimitsOfShape J C
X : TopCat
F : J ⥤ Presheaf C X
H : ∀ (j : J), (F.obj j).IsSheaf
c : Cone F
hc : IsLimit c
⊢ c.pt.IsSheaf

Response:
by
  let F' : J ⥤ Sheaf C X :=
    { obj := fun j => ⟨F.obj j, H j⟩
      map := fun f => ⟨F.map f⟩ }
  let e : F' ⋙ Sheaf.forget C X ≅ F := NatIso.ofComponents fun _ => Iso.refl _
  exact Presheaf.isSheaf_of_iso
    ((isLimitOfPreserves (Sheaf.forget C X) (limit.isLimit F')).conePointsIsoOfNatIso hc e)
    (limit F').2

[User]
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Topology.Sheaves.Sheaf
public import Mathlib.CategoryTheory.Sites.Limits
public import Mathlib.CategoryTheory.Limits.FunctorCategory.Basic

Namespace:
TopCat

Local safe context:
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
/-!
# Presheaves in `C` have limits and colimits when `C` does.
-/

public section

noncomputable section

universe v u w t

open CategoryTheory

open CategoryTheory.Limits

variable {C : Type u} [Category.{v} C] {J : Type w} [Category* J]

namespace TopCat

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : HasLimitsOfShape J (Presheaf C X) :=
  functorCategoryHasLimitsOfShape

instance [HasLimits C] (X : TopCat.{v}) : HasLimits.{v} (Presheaf C X) where

instance [HasColimitsOfShape J C] (X : TopCat) : HasColimitsOfShape J (Presheaf C X) :=
  functorCategoryHasColimitsOfShape

instance [HasColimits.{v, u} C] (X : TopCat.{t}) : HasColimitsOfSize.{v, v} (Presheaf C X) where

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : CreatesLimitsOfShape J (Sheaf.forget C X) :=
  inferInstanceAs <| CreatesLimitsOfShape J (sheafToPresheaf _ _)

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : HasLimitsOfShape J (Sheaf C X) :=
  hasLimitsOfShape_of_hasLimitsOfShape_createsLimitsOfShape (Sheaf.forget C X)

instance [HasLimits C] (X : TopCat) : CreatesLimits.{v, v} (Sheaf.forget C X) where

instance [HasLimits C] (X : TopCat.{v}) : HasLimitsOfSize.{v, v} (Sheaf.{v} C X) where

set_option backward.isDefEq.respectTransparency false in

Target:
theorem isSheaf_of_isLimit [HasLimitsOfShape J C] {X : TopCat.{v}} (F : J ⥤ Presheaf.{v} C X)
    (H : ∀ j, (F.obj j).IsSheaf) {c : Cone F} (hc : IsLimit c) : c.pt.IsSheaf :=

Failed candidate:
by
  have __repair_pad_0_c23bf78171 : True := by trivial
  have __repair_pad_1_c23bf78171 : True := by trivial
  have __repair_pad_2_c23bf78171 : True := by trivial
  have __repair_pad_3_c23bf78171 : True := by trivial
  have __repair_pad_4_c23bf78171 : True := by trivial
  have __repair_pad_5_c23bf78171 : True := by trivial
  have __repair_pad_6_c23bf78171 : True := by trivial
  have __repair_pad_7_c23bf78171 : True := by trivial
  have __repair_pad_8_c23bf78171 : True := by trivial
  have __repair_pad_9_c23bf78171 : True := by trivial
  have __repair_pad_10_c23bf78171 : True := by trivial
  have __repair_pad_11_c23bf78171 : True := by trivial
  have __repair_pad_12_c23bf78171 : True := by trivial
  have __repair_pad_13_c23bf78171 : True := by trivial
  have __repair_pad_14_c23bf78171 : True := by trivial
  have __repair_pad_15_c23bf78171 : True := by trivial
  have __repair_pad_16_c23bf78171 : True := by trivial
  have __repair_pad_17_c23bf78171 : True := by trivial
  have __repair_pad_18_c23bf78171 : True := by trivial
  have __repair_pad_19_c23bf78171 : True := by trivial
  have __repair_pad_20_c23bf78171 : True := by trivial
  have __repair_pad_21_c23bf78171 : True := by trivial
  have __repair_pad_22_c23bf78171 : True := by trivial
  have __repair_pad_23_c23bf78171 : True := by trivial
  have __repair_fail_c23bf78171 := __oprover_overlong_c23bf78171
  let F' : J ⥤ Sheaf C X :=
    { obj := fun j => ⟨F.obj j, H j⟩
      map := fun f => ⟨F.map f⟩ }
  let e : F' ⋙ Sheaf.forget C X ≅ F := NatIso.ofComponents fun _ => Iso.refl _
  exact Presheaf.isSheaf_of_iso
    ((isLimitOfPreserves (Sheaf.forget C X) (limit.isLimit F')).conePointsIsoOfNatIso hc e)
    (limit F').2

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:80:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_c23bf78171`\n<LEAN_FILE>:55:0: error: unsolved goals\nC : Type u\ninst✝² : Category.{v, u} C\nJ : Type w\ninst✝¹ : Category.{v_1, w} J\ninst✝ : HasLimitsOfShape J C\nX : TopCat\nF : J ⥤ Presheaf C X\nH : ∀ (j : J), (F.obj j).IsSheaf\nc : Cone F\nhc : IsLimit c\n⊢ c.pt.IsSheaf", "returncode": 1}

Corrected proof:

[Assistant]
by
  let F' : J ⥤ Sheaf C X :=
    { obj := fun j => ⟨F.obj j, H j⟩
      map := fun f => ⟨F.map f⟩ }
  let e : F' ⋙ Sheaf.forget C X ≅ F := NatIso.ofComponents fun _ => Iso.refl _
  exact Presheaf.isSheaf_of_iso
    ((isLimitOfPreserves (Sheaf.forget C X) (limit.isLimit F')).conePointsIsoOfNatIso hc e)
    (limit F').2

Prompt:
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Topology.Sheaves.Sheaf
public import Mathlib.CategoryTheory.Sites.Limits
public import Mathlib.CategoryTheory.Limits.FunctorCategory.Basic

Namespace:
TopCat

Local safe context:
/-
Copyright (c) 2020 Kim Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kim Morrison
-/
/-!
# Presheaves in `C` have limits and colimits when `C` does.
-/

public section

noncomputable section

universe v u w t

open CategoryTheory

open CategoryTheory.Limits

variable {C : Type u} [Category.{v} C] {J : Type w} [Category* J]

namespace TopCat

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : HasLimitsOfShape J (Presheaf C X) :=
  functorCategoryHasLimitsOfShape

instance [HasLimits C] (X : TopCat.{v}) : HasLimits.{v} (Presheaf C X) where

instance [HasColimitsOfShape J C] (X : TopCat) : HasColimitsOfShape J (Presheaf C X) :=
  functorCategoryHasColimitsOfShape

instance [HasColimits.{v, u} C] (X : TopCat.{t}) : HasColimitsOfSize.{v, v} (Presheaf C X) where

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : CreatesLimitsOfShape J (Sheaf.forget C X) :=
  inferInstanceAs <| CreatesLimitsOfShape J (sheafToPresheaf _ _)

instance [HasLimitsOfShape J C] (X : TopCat.{t}) : HasLimitsOfShape J (Sheaf C X) :=
  hasLimitsOfShape_of_hasLimitsOfShape_createsLimitsOfShape (Sheaf.forget C X)

instance [HasLimits C] (X : TopCat) : CreatesLimits.{v, v} (Sheaf.forget C X) where

instance [HasLimits C] (X : TopCat.{v}) : HasLimitsOfSize.{v, v} (Sheaf.{v} C X) where

set_option backward.isDefEq.respectTransparency false in

Target:
theorem isSheaf_of_isLimit [HasLimitsOfShape J C] {X : TopCat.{v}} (F : J ⥤ Presheaf.{v} C X)
    (H : ∀ j, (F.obj j).IsSheaf) {c : Cone F} (hc : IsLimit c) : c.pt.IsSheaf :=

Failed candidate:
by
  have __repair_pad_0_c23bf78171 : True := by trivial
  have __repair_pad_1_c23bf78171 : True := by trivial
  have __repair_pad_2_c23bf78171 : True := by trivial
  have __repair_pad_3_c23bf78171 : True := by trivial
  have __repair_pad_4_c23bf78171 : True := by trivial
  have __repair_pad_5_c23bf78171 : True := by trivial
  have __repair_pad_6_c23bf78171 : True := by trivial
  have __repair_pad_7_c23bf78171 : True := by trivial
  have __repair_pad_8_c23bf78171 : True := by trivial
  have __repair_pad_9_c23bf78171 : True := by trivial
  have __repair_pad_10_c23bf78171 : True := by trivial
  have __repair_pad_11_c23bf78171 : True := by trivial
  have __repair_pad_12_c23bf78171 : True := by trivial
  have __repair_pad_13_c23bf78171 : True := by trivial
  have __repair_pad_14_c23bf78171 : True := by trivial
  have __repair_pad_15_c23bf78171 : True := by trivial
  have __repair_pad_16_c23bf78171 : True := by trivial
  have __repair_pad_17_c23bf78171 : True := by trivial
  have __repair_pad_18_c23bf78171 : True := by trivial
  have __repair_pad_19_c23bf78171 : True := by trivial
  have __repair_pad_20_c23bf78171 : True := by trivial
  have __repair_pad_21_c23bf78171 : True := by trivial
  have __repair_pad_22_c23bf78171 : True := by trivial
  have __repair_pad_23_c23bf78171 : True := by trivial
  have __repair_fail_c23bf78171 := __oprover_overlong_c23bf78171
  let F' : J ⥤ Sheaf C X :=
    { obj := fun j => ⟨F.obj j, H j⟩
      map := fun f => ⟨F.map f⟩ }
  let e : F' ⋙ Sheaf.forget C X ≅ F := NatIso.ofComponents fun _ => Iso.refl _
  exact Presheaf.isSheaf_of_iso
    ((isLimitOfPreserves (Sheaf.forget C X) (limit.isLimit F')).conePointsIsoOfNatIso hc e)
    (limit F').2

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:80:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_c23bf78171`\n<LEAN_FILE>:55:0: error: unsolved goals\nC : Type u\ninst✝² : Category.{v, u} C\nJ : Type w\ninst✝¹ : Category.{v_1, w} J\ninst✝ : HasLimitsOfShape J C\nX : TopCat\nF : J ⥤ Presheaf C X\nH : ∀ (j : J), (F.obj j).IsSheaf\nc : Cone F\nhc : IsLimit c\n⊢ c.pt.IsSheaf", "returncode": 1}

Corrected proof:


Response:
by
  convert! if_pos rfl

[User]
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Analysis.MeanInequalities
public import Mathlib.Analysis.Normed.Lp.WithLp

Namespace:
WithLp

Local context:
/-
Copyright (c) 2023 Moritz Doll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Moritz Doll, Sébastien Gouëzel, Jireh Loreaux
-/
/-!
# `L^p` distance on products of two metric spaces
Given two metric spaces, one can put the max distance on their product, but there is also
a whole family of natural distances, indexed by a parameter `p : ℝ≥0∞`, that also induce
the product topology. We define them in this file. For `0 < p < ∞`, the distance on `α × β`
is given by
$$
d(x, y) = \left(d(x_1, y_1)^p + d(x_2, y_2)^p\right)^{1/p}.
$$
For `p = ∞` the distance is the supremum of the distances and `p = 0` the distance is the
cardinality of the elements that are not equal.

We give instances of this construction for emetric spaces, metric spaces, normed groups and normed
spaces.

To avoid conflicting instances, all these are defined on a copy of the original Prod-type, named
`WithLp p (α × β)`. The assumption `[Fact (1 ≤ p)]` is required for the metric and normed space
instances.

We ensure that the topology, bornology and uniform structure on `WithLp p (α × β)` are (defeq to)
the product topology, product bornology and product uniformity, to be able to use freely continuity
statements for the coordinate functions, for instance.

If you wish to endow a type synonym of `α × β` with the `L^p` distance, you can use
`pseudoMetricSpaceToProd` and the declarations below that one.

## Implementation notes

This file is a straight-forward adaptation of `Mathlib/Analysis/Normed/Lp/PiLp.lean`.

## TODO

TODO: the results about uniformity and bornology in the `Aux` section should be using the tools in
`Mathlib.Topology.MetricSpace.Bilipschitz`, so that they can be inlined in the next section and
the only remaining results are about `Lipschitz` and `Antilipschitz`.

-/

@[expose] public section

open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal

noncomputable section

variable (p : ℝ≥0∞) (𝕜 α β : Type*)

namespace WithLp

section algebra

/- Register simplification lemmas for the applications of `WithLp p (α × β)` elements, as the usual
lemmas for `Prod` will not trigger. -/

variable {p 𝕜 α β}
variable [Semiring 𝕜] [AddCommGroup α] [AddCommGroup β]
variable (x y : WithLp p (α × β)) (c : 𝕜)

/-- The projection on the first coordinate in `WithLp`. -/
protected def fst (x : WithLp p (α × β)) : α := (ofLp x).fst

/-- The projection on the second coordinate in `WithLp`. -/
protected def snd (x : WithLp p (α × β)) : β := (ofLp x).snd

@[simp]
theorem zero_fst : (0 : WithLp p (α × β)).fst = 0 :=
  rfl

@[simp]
theorem zero_snd : (0 : WithLp p (α × β)).snd = 0 :=
  rfl

@[simp]
theorem add_fst : (x + y).fst = x.fst + y.fst :=
  rfl

@[simp]
theorem add_snd : (x + y).snd = x.snd + y.snd :=
  rfl

@[simp]
theorem sub_fst : (x - y).fst = x.fst - y.fst :=
  rfl

@[simp]
theorem sub_snd : (x - y).snd = x.snd - y.snd :=
  rfl

@[simp]
theorem neg_fst : (-x).fst = -x.fst :=
  rfl

@[simp]
theorem neg_snd : (-x).snd = -x.snd :=
  rfl

variable [Module 𝕜 α] [Module 𝕜 β]

@[simp]
theorem smul_fst : (c • x).fst = c • x.fst :=
  rfl

@[simp]
theorem smul_snd : (c • x).snd = c • x.snd :=
  rfl

variable (p 𝕜 α β)

/-- `WithLp.fst` as a linear map. -/
@[simps]
def fstₗ : WithLp p (α × β) →ₗ[𝕜] α where
  toFun := WithLp.fst
  map_add' _ _ := rfl
  map_smul' _ _ := rfl

/-- `WithLp.snd` as a linear map. -/
@[simps]
def sndₗ : WithLp p (α × β) →ₗ[𝕜] β where
  toFun := WithLp.snd
  map_add' _ _ := rfl
  map_smul' _ _ := rfl

end algebra

/-! Note that the unapplied versions of these lemmas are deliberately omitted, as they break
the use of the type synonym. -/

section equiv

variable {p α β}

@[simp] lemma toLp_fst (x : α × β) : (toLp p x).fst = x.fst := rfl
@[simp] lemma toLp_snd (x : α × β) : (toLp p x).snd = x.snd := rfl
@[simp] lemma ofLp_fst (x : WithLp p (α × β)) : (ofLp x).fst = x.fst := rfl
@[simp] lemma ofLp_snd (x : WithLp p (α × β)) : (ofLp x).snd = x.snd := rfl

end equiv

section DistNorm

/-!
### Definition of `edist`, `dist` and `norm` on `WithLp p (α × β)`

In this section we define the `edist`, `dist` and `norm` functions on `WithLp p (α × β)` without
assuming `[Fact (1 ≤ p)]` or metric properties of the spaces `α` and `β`. This allows us to provide
the rewrite lemmas for each of three cases `p = 0`, `p = ∞` and `0 < p.toReal`.
-/

section EDist

variable [EDist α] [EDist β]

open scoped Classical in
/-- Endowing the space `WithLp p (α × β)` with the `L^p` edistance. We register this instance
separate from `WithLp.instProdPseudoEMetric` since the latter requires the type class hypothesis
`[Fact (1 ≤ p)]` in order to prove the triangle inequality.

Registering this separately allows for a future emetric-like structure on `WithLp p (α × β)` for
`p < 1` satisfying a relaxed triangle inequality. The terminology for this varies throughout the
literature, but it is sometimes called a *quasi-metric* or *semi-metric*. -/
instance instProdEDist : EDist (WithLp p (α × β)) where
  edist f g :=
    if _hp : p = 0 then
      (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1)
    else if p = ∞ then
      edist f.fst g.fst ⊔ edist f.snd g.snd
    else
      (edist f.fst g.fst ^ p.toReal + edist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal)

variable {p α β}

@[simp]

Target:
theorem prod_edist_eq_card (f g : WithLp 0 (α × β)) :
    edist f g =
      (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) :=

Proof body:

[Assistant]
by
  convert! if_pos rfl

Prompt:
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Analysis.MeanInequalities
public import Mathlib.Analysis.Normed.Lp.WithLp

Namespace:
WithLp

Local context:
/-
Copyright (c) 2023 Moritz Doll. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Moritz Doll, Sébastien Gouëzel, Jireh Loreaux
-/
/-!
# `L^p` distance on products of two metric spaces
Given two metric spaces, one can put the max distance on their product, but there is also
a whole family of natural distances, indexed by a parameter `p : ℝ≥0∞`, that also induce
the product topology. We define them in this file. For `0 < p < ∞`, the distance on `α × β`
is given by
$$
d(x, y) = \left(d(x_1, y_1)^p + d(x_2, y_2)^p\right)^{1/p}.
$$
For `p = ∞` the distance is the supremum of the distances and `p = 0` the distance is the
cardinality of the elements that are not equal.

We give instances of this construction for emetric spaces, metric spaces, normed groups and normed
spaces.

To avoid conflicting instances, all these are defined on a copy of the original Prod-type, named
`WithLp p (α × β)`. The assumption `[Fact (1 ≤ p)]` is required for the metric and normed space
instances.

We ensure that the topology, bornology and uniform structure on `WithLp p (α × β)` are (defeq to)
the product topology, product bornology and product uniformity, to be able to use freely continuity
statements for the coordinate functions, for instance.

If you wish to endow a type synonym of `α × β` with the `L^p` distance, you can use
`pseudoMetricSpaceToProd` and the declarations below that one.

## Implementation notes

This file is a straight-forward adaptation of `Mathlib/Analysis/Normed/Lp/PiLp.lean`.

## TODO

TODO: the results about uniformity and bornology in the `Aux` section should be using the tools in
`Mathlib.Topology.MetricSpace.Bilipschitz`, so that they can be inlined in the next section and
the only remaining results are about `Lipschitz` and `Antilipschitz`.

-/

@[expose] public section

open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal

noncomputable section

variable (p : ℝ≥0∞) (𝕜 α β : Type*)

namespace WithLp

section algebra

/- Register simplification lemmas for the applications of `WithLp p (α × β)` elements, as the usual
lemmas for `Prod` will not trigger. -/

variable {p 𝕜 α β}
variable [Semiring 𝕜] [AddCommGroup α] [AddCommGroup β]
variable (x y : WithLp p (α × β)) (c : 𝕜)

/-- The projection on the first coordinate in `WithLp`. -/
protected def fst (x : WithLp p (α × β)) : α := (ofLp x).fst

/-- The projection on the second coordinate in `WithLp`. -/
protected def snd (x : WithLp p (α × β)) : β := (ofLp x).snd

@[simp]
theorem zero_fst : (0 : WithLp p (α × β)).fst = 0 :=
  rfl

@[simp]
theorem zero_snd : (0 : WithLp p (α × β)).snd = 0 :=
  rfl

@[simp]
theorem add_fst : (x + y).fst = x.fst + y.fst :=
  rfl

@[simp]
theorem add_snd : (x + y).snd = x.snd + y.snd :=
  rfl

@[simp]
theorem sub_fst : (x - y).fst = x.fst - y.fst :=
  rfl

@[simp]
theorem sub_snd : (x - y).snd = x.snd - y.snd :=
  rfl

@[simp]
theorem neg_fst : (-x).fst = -x.fst :=
  rfl

@[simp]
theorem neg_snd : (-x).snd = -x.snd :=
  rfl

variable [Module 𝕜 α] [Module 𝕜 β]

@[simp]
theorem smul_fst : (c • x).fst = c • x.fst :=
  rfl

@[simp]
theorem smul_snd : (c • x).snd = c • x.snd :=
  rfl

variable (p 𝕜 α β)

/-- `WithLp.fst` as a linear map. -/
@[simps]
def fstₗ : WithLp p (α × β) →ₗ[𝕜] α where
  toFun := WithLp.fst
  map_add' _ _ := rfl
  map_smul' _ _ := rfl

/-- `WithLp.snd` as a linear map. -/
@[simps]
def sndₗ : WithLp p (α × β) →ₗ[𝕜] β where
  toFun := WithLp.snd
  map_add' _ _ := rfl
  map_smul' _ _ := rfl

end algebra

/-! Note that the unapplied versions of these lemmas are deliberately omitted, as they break
the use of the type synonym. -/

section equiv

variable {p α β}

@[simp] lemma toLp_fst (x : α × β) : (toLp p x).fst = x.fst := rfl
@[simp] lemma toLp_snd (x : α × β) : (toLp p x).snd = x.snd := rfl
@[simp] lemma ofLp_fst (x : WithLp p (α × β)) : (ofLp x).fst = x.fst := rfl
@[simp] lemma ofLp_snd (x : WithLp p (α × β)) : (ofLp x).snd = x.snd := rfl

end equiv

section DistNorm

/-!
### Definition of `edist`, `dist` and `norm` on `WithLp p (α × β)`

In this section we define the `edist`, `dist` and `norm` functions on `WithLp p (α × β)` without
assuming `[Fact (1 ≤ p)]` or metric properties of the spaces `α` and `β`. This allows us to provide
the rewrite lemmas for each of three cases `p = 0`, `p = ∞` and `0 < p.toReal`.
-/

section EDist

variable [EDist α] [EDist β]

open scoped Classical in
/-- Endowing the space `WithLp p (α × β)` with the `L^p` edistance. We register this instance
separate from `WithLp.instProdPseudoEMetric` since the latter requires the type class hypothesis
`[Fact (1 ≤ p)]` in order to prove the triangle inequality.

Registering this separately allows for a future emetric-like structure on `WithLp p (α × β)` for
`p < 1` satisfying a relaxed triangle inequality. The terminology for this varies throughout the
literature, but it is sometimes called a *quasi-metric* or *semi-metric*. -/
instance instProdEDist : EDist (WithLp p (α × β)) where
  edist f g :=
    if _hp : p = 0 then
      (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1)
    else if p = ∞ then
      edist f.fst g.fst ⊔ edist f.snd g.snd
    else
      (edist f.fst g.fst ^ p.toReal + edist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal)

variable {p α β}

@[simp]

Target:
theorem prod_edist_eq_card (f g : WithLp 0 (α × β)) :
    edist f g =
      (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) :=

Proof body:


Response:
by
  obtain ⟨p, hp⟩ := Algebra.adjoin_eq_exists_aeval _ x a
  grind

[User]
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Algebra.Polynomial.AlgebraMap

Namespace:
Algebra

Local context:
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Kim Morrison, Jens Wagemaker
-/
/-!
# Polynomials and adjoining roots

## Main results

* `Algebra.instCommSemiringAdjoinSingleton, Algebra.instCommRingAdjoinSingleton`:
  adjoining an element to a commutative (semi)ring gives a commutative (semi)ring
* `Algebra.adjoin_singleton_induction`:
  proving a fact about `a : adjoin R {x}` is the same as proving it for `aeval x p` where `p`
  is an arbitrary polynomial
-/

public section

noncomputable section

open Finset

open Polynomial

namespace Algebra

universe u v w z

variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {A' B : Type*} {a b : R} {n : ℕ}

section aeval

open Algebra

variable [CommSemiring R] [Semiring A] [CommSemiring A'] [Semiring B]
variable [Algebra R A] [Algebra R B]
variable {p q : R[X]} (x : A)

@[simp]
theorem _root_.Polynomial.adjoin_X : adjoin R ({X} : Set R[X]) = ⊤ := by
  refine top_unique fun p _hp => ?_
  set S := adjoin R ({X} : Set R[X])
  rw [← sum_monomial_eq p]; simp only [← smul_X_eq_monomial]
  exact S.sum_mem fun n _hn => S.smul_mem (S.pow_mem (subset_adjoin rfl) _) _

variable (R)
theorem adjoin_singleton_eq_range_aeval (x : A) :
    adjoin R {x} = (aeval x).range := by
  rw [← Algebra.map_top, ← adjoin_X, AlgHom.map_adjoin, Set.image_singleton, aeval_X]

@[simp]
theorem _root_.Polynomial.aeval_mem_adjoin_singleton : aeval x p ∈ adjoin R {x} := by
  simp [adjoin_singleton_eq_range_aeval]

instance {A B : Type*} [CommSemiring A] [Semiring B] [Algebra A B] (x : B) (p : Polynomial A) :
    CoeDep B (p.aeval x) (Algebra.adjoin A {x}) where
  coe := ⟨p.aeval x, aeval_mem_adjoin_singleton A x⟩

theorem adjoin_mem_exists_aeval {a : A} (h : a ∈ R[x]) :
    ∃ p : R[X], aeval x p = a := by
  rw [Algebra.adjoin_singleton_eq_range_aeval] at h
  simp_all

theorem adjoin_eq_exists_aeval (a : R[x]) :
    ∃ p : R[X], aeval x p = a := by
  have : (a : A) ∈ R[x] := by simp
  set y := (a : A) with h
  rw [Algebra.adjoin_singleton_eq_range_aeval] at this
  simp_all

/--
Proving a fact about `a : adjoin R {x}` is the same as proving it for
`aeval x p` where `p`is an arbitrary polynomial. -/
@[elab_as_elim]

Target:
theorem adjoin_singleton_induction {M : (adjoin R {x}) → Prop}
    (a : adjoin R {x}) (f : ∀ (p : Polynomial R), M (aeval x p : adjoin R {x})) : M a :=

Proof body:

[Assistant]
by
  obtain ⟨p, hp⟩ := Algebra.adjoin_eq_exists_aeval _ x a
  grind

Prompt:
Return exactly one Lean proof body beginning with `by`. Do not emit prose, fences, declarations, sorry, admit, by?, or warnings.

Imports:
public import Mathlib.Algebra.Polynomial.AlgebraMap

Namespace:
Algebra

Local context:
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Kim Morrison, Jens Wagemaker
-/
/-!
# Polynomials and adjoining roots

## Main results

* `Algebra.instCommSemiringAdjoinSingleton, Algebra.instCommRingAdjoinSingleton`:
  adjoining an element to a commutative (semi)ring gives a commutative (semi)ring
* `Algebra.adjoin_singleton_induction`:
  proving a fact about `a : adjoin R {x}` is the same as proving it for `aeval x p` where `p`
  is an arbitrary polynomial
-/

public section

noncomputable section

open Finset

open Polynomial

namespace Algebra

universe u v w z

variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {A' B : Type*} {a b : R} {n : ℕ}

section aeval

open Algebra

variable [CommSemiring R] [Semiring A] [CommSemiring A'] [Semiring B]
variable [Algebra R A] [Algebra R B]
variable {p q : R[X]} (x : A)

@[simp]
theorem _root_.Polynomial.adjoin_X : adjoin R ({X} : Set R[X]) = ⊤ := by
  refine top_unique fun p _hp => ?_
  set S := adjoin R ({X} : Set R[X])
  rw [← sum_monomial_eq p]; simp only [← smul_X_eq_monomial]
  exact S.sum_mem fun n _hn => S.smul_mem (S.pow_mem (subset_adjoin rfl) _) _

variable (R)
theorem adjoin_singleton_eq_range_aeval (x : A) :
    adjoin R {x} = (aeval x).range := by
  rw [← Algebra.map_top, ← adjoin_X, AlgHom.map_adjoin, Set.image_singleton, aeval_X]

@[simp]
theorem _root_.Polynomial.aeval_mem_adjoin_singleton : aeval x p ∈ adjoin R {x} := by
  simp [adjoin_singleton_eq_range_aeval]

instance {A B : Type*} [CommSemiring A] [Semiring B] [Algebra A B] (x : B) (p : Polynomial A) :
    CoeDep B (p.aeval x) (Algebra.adjoin A {x}) where
  coe := ⟨p.aeval x, aeval_mem_adjoin_singleton A x⟩

theorem adjoin_mem_exists_aeval {a : A} (h : a ∈ R[x]) :
    ∃ p : R[X], aeval x p = a := by
  rw [Algebra.adjoin_singleton_eq_range_aeval] at h
  simp_all

theorem adjoin_eq_exists_aeval (a : R[x]) :
    ∃ p : R[X], aeval x p = a := by
  have : (a : A) ∈ R[x] := by simp
  set y := (a : A) with h
  rw [Algebra.adjoin_singleton_eq_range_aeval] at this
  simp_all

/--
Proving a fact about `a : adjoin R {x}` is the same as proving it for
`aeval x p` where `p`is an arbitrary polynomial. -/
@[elab_as_elim]

Target:
theorem adjoin_singleton_induction {M : (adjoin R {x}) → Prop}
    (a : adjoin R {x}) (f : ∀ (p : Polynomial R), M (aeval x p : adjoin R {x})) : M a :=

Proof body:


<LEAN_FILE>:145:37: error: Type mismatch
  True.intro
has type
  True
but is expected to have type
  False

Response: by ext; simp [h.symm]

[User]
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.Module.Equiv.Defs
public import Mathlib.Algebra.Module.LinearMap.End
public import Mathlib.Algebra.Module.Pi
public import Mathlib.Data.Finsupp.SMul

Namespace:
Finsupp

Local safe context:
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
/-!
# Properties of the module `α →₀ M`

Given an `R`-module `M`, the `R`-module structure on `α →₀ M` is defined in
`Mathlib/Data/Finsupp/SMul.lean`.

In this file we define `LinearMap` versions of various maps:

* `Finsupp.lsingle a : M →ₗ[R] ι →₀ M`: `Finsupp.single a` as a linear map;
* `Finsupp.lapply a : (ι →₀ M) →ₗ[R] M`: the map `fun f ↦ f a` as a linear map;
* `Finsupp.lsubtypeDomain (s : Set α) : (α →₀ M) →ₗ[R] (s →₀ M)`: restriction to a subtype as a
  linear map;
* `Finsupp.restrictDom`: `Finsupp.filter` as a linear map to `Finsupp.supported s`;
* `Finsupp.lmapDomain`: a linear map version of `Finsupp.mapDomain`;

## Tags

function with finite support, module, linear algebra
-/

@[expose] public section

assert_not_exists Submodule

noncomputable section

open Set LinearMap

namespace Finsupp

variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R R₂ R₃ : Type*} {S : Type*}
variable [Semiring R] [Semiring R₂] [Semiring R₃] [Semiring S]
variable [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R₂ N]
variable [AddCommMonoid P] [Module R₃ P]
variable {σ₁₂ : R →+* R₂} {σ₂₁ : R₂ →+* R}
variable {σ₂₃ : R₂ →+* R₃} {σ₃₂ : R₃ →+* R₂}
variable {σ₁₃ : R →+* R₃} {σ₃₁ : R₃ →+* R}
variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] [RingHomCompTriple σ₃₂ σ₂₁ σ₃₁]

section LinearEquivFunOnFinite

variable (R : Type*) {S : Type*} (M : Type*) (α : Type*)
variable [Finite α] [AddCommMonoid M] [Semiring R] [Module R M]

/-- Given `Finite α`, `linearEquivFunOnFinite R` is the natural `R`-linear equivalence between
`α →₀ β` and `α → β`. -/
@[simps apply]
noncomputable def linearEquivFunOnFinite : (α →₀ M) ≃ₗ[R] α → M :=
  { equivFunOnFinite with
    toFun := (⇑)
    map_add' := fun _ _ => rfl
    map_smul' := fun _ _ => rfl }

@[simp]
theorem linearEquivFunOnFinite_single [DecidableEq α] (x : α) (m : M) :
    (linearEquivFunOnFinite R M α) (single x m) = Pi.single x m :=
  equivFunOnFinite_single x m

@[simp]
theorem linearEquivFunOnFinite_symm_single [DecidableEq α] (x : α) (m : M) :
    (linearEquivFunOnFinite R M α).symm (Pi.single x m) = single x m :=
  equivFunOnFinite_symm_single x m

@[simp]
theorem linearEquivFunOnFinite_symm_coe (f : α →₀ M) : (linearEquivFunOnFinite R M α).symm f = f :=
  (linearEquivFunOnFinite R M α).symm_apply_apply f

@[simp]
theorem linearEquivFunOnFinite_symm_apply (f : α → M) : (linearEquivFunOnFinite R M α).symm f = f :=
  rfl

end LinearEquivFunOnFinite

/-- Interpret `Finsupp.single a` as a linear map. -/
def lsingle (a : α) : M →ₗ[R] α →₀ M :=
  { Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm }

/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere. -/
theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₛₗ[σ₁₂] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ :=
  LinearMap.toAddMonoidHom_injective <| addHom_ext h

/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere.

We formulate this fact using equality of linear maps `φ.comp (lsingle a)` and `ψ.comp (lsingle a)`
so that the `ext` tactic can apply a type-specific extensionality lemma to prove equality of these
maps. E.g., if `M = R`, then it suffices to verify `φ (single a 1) = ψ (single a 1)`. -/
-- The priority should be higher than `LinearMap.ext`.
@[ext high]
theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₛₗ[σ₁₂] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
    φ = ψ :=
  lhom_ext fun a => LinearMap.congr_fun (h a)

/-- Interpret `fun f : α →₀ M ↦ f a` as a linear map. -/
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
  { Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl }

instance [Nonempty α] [FaithfulSMul R M] : FaithfulSMul R (α →₀ M) :=
  .of_injective (Finsupp.lsingle <| Classical.arbitrary _) (Finsupp.single_injective _)

section LSubtypeDomain

variable (s : Set α)

/-- Interpret `Finsupp.subtypeDomain s` as a linear map. -/
def lsubtypeDomain : (α →₀ M) →ₗ[R] s →₀ M where
  toFun := subtypeDomain fun x => x ∈ s
  map_add' _ _ := subtypeDomain_add
  map_smul' _ _ := ext fun _ => rfl

theorem lsubtypeDomain_apply (f : α →₀ M) :
    (lsubtypeDomain s : (α →₀ M) →ₗ[R] s →₀ M) f = subtypeDomain (fun x => x ∈ s) f :=
  rfl

end LSubtypeDomain

@[simp]
theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b :=
  rfl

@[simp]
theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
  rfl

@[simp]
theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp

@[simp]

Target:
theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') :
    lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) :=

Failed candidate:
by
 have __repair_d7797ff385 : False := True.intro
 ext; simp [h.symm]

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:145:37: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:

[Assistant] by ext; simp [h.symm]

Prompt:
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.Module.Equiv.Defs
public import Mathlib.Algebra.Module.LinearMap.End
public import Mathlib.Algebra.Module.Pi
public import Mathlib.Data.Finsupp.SMul

Namespace:
Finsupp

Local safe context:
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
/-!
# Properties of the module `α →₀ M`

Given an `R`-module `M`, the `R`-module structure on `α →₀ M` is defined in
`Mathlib/Data/Finsupp/SMul.lean`.

In this file we define `LinearMap` versions of various maps:

* `Finsupp.lsingle a : M →ₗ[R] ι →₀ M`: `Finsupp.single a` as a linear map;
* `Finsupp.lapply a : (ι →₀ M) →ₗ[R] M`: the map `fun f ↦ f a` as a linear map;
* `Finsupp.lsubtypeDomain (s : Set α) : (α →₀ M) →ₗ[R] (s →₀ M)`: restriction to a subtype as a
  linear map;
* `Finsupp.restrictDom`: `Finsupp.filter` as a linear map to `Finsupp.supported s`;
* `Finsupp.lmapDomain`: a linear map version of `Finsupp.mapDomain`;

## Tags

function with finite support, module, linear algebra
-/

@[expose] public section

assert_not_exists Submodule

noncomputable section

open Set LinearMap

namespace Finsupp

variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R R₂ R₃ : Type*} {S : Type*}
variable [Semiring R] [Semiring R₂] [Semiring R₃] [Semiring S]
variable [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R₂ N]
variable [AddCommMonoid P] [Module R₃ P]
variable {σ₁₂ : R →+* R₂} {σ₂₁ : R₂ →+* R}
variable {σ₂₃ : R₂ →+* R₃} {σ₃₂ : R₃ →+* R₂}
variable {σ₁₃ : R →+* R₃} {σ₃₁ : R₃ →+* R}
variable [RingHomCompTriple σ₁₂ σ₂₃ σ₁₃] [RingHomCompTriple σ₃₂ σ₂₁ σ₃₁]

section LinearEquivFunOnFinite

variable (R : Type*) {S : Type*} (M : Type*) (α : Type*)
variable [Finite α] [AddCommMonoid M] [Semiring R] [Module R M]

/-- Given `Finite α`, `linearEquivFunOnFinite R` is the natural `R`-linear equivalence between
`α →₀ β` and `α → β`. -/
@[simps apply]
noncomputable def linearEquivFunOnFinite : (α →₀ M) ≃ₗ[R] α → M :=
  { equivFunOnFinite with
    toFun := (⇑)
    map_add' := fun _ _ => rfl
    map_smul' := fun _ _ => rfl }

@[simp]
theorem linearEquivFunOnFinite_single [DecidableEq α] (x : α) (m : M) :
    (linearEquivFunOnFinite R M α) (single x m) = Pi.single x m :=
  equivFunOnFinite_single x m

@[simp]
theorem linearEquivFunOnFinite_symm_single [DecidableEq α] (x : α) (m : M) :
    (linearEquivFunOnFinite R M α).symm (Pi.single x m) = single x m :=
  equivFunOnFinite_symm_single x m

@[simp]
theorem linearEquivFunOnFinite_symm_coe (f : α →₀ M) : (linearEquivFunOnFinite R M α).symm f = f :=
  (linearEquivFunOnFinite R M α).symm_apply_apply f

@[simp]
theorem linearEquivFunOnFinite_symm_apply (f : α → M) : (linearEquivFunOnFinite R M α).symm f = f :=
  rfl

end LinearEquivFunOnFinite

/-- Interpret `Finsupp.single a` as a linear map. -/
def lsingle (a : α) : M →ₗ[R] α →₀ M :=
  { Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm }

/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere. -/
theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₛₗ[σ₁₂] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ :=
  LinearMap.toAddMonoidHom_injective <| addHom_ext h

/-- Two `R`-linear maps from `Finsupp X M` which agree on each `single x y` agree everywhere.

We formulate this fact using equality of linear maps `φ.comp (lsingle a)` and `ψ.comp (lsingle a)`
so that the `ext` tactic can apply a type-specific extensionality lemma to prove equality of these
maps. E.g., if `M = R`, then it suffices to verify `φ (single a 1) = ψ (single a 1)`. -/
-- The priority should be higher than `LinearMap.ext`.
@[ext high]
theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₛₗ[σ₁₂] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
    φ = ψ :=
  lhom_ext fun a => LinearMap.congr_fun (h a)

/-- Interpret `fun f : α →₀ M ↦ f a` as a linear map. -/
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
  { Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl }

instance [Nonempty α] [FaithfulSMul R M] : FaithfulSMul R (α →₀ M) :=
  .of_injective (Finsupp.lsingle <| Classical.arbitrary _) (Finsupp.single_injective _)

section LSubtypeDomain

variable (s : Set α)

/-- Interpret `Finsupp.subtypeDomain s` as a linear map. -/
def lsubtypeDomain : (α →₀ M) →ₗ[R] s →₀ M where
  toFun := subtypeDomain fun x => x ∈ s
  map_add' _ _ := subtypeDomain_add
  map_smul' _ _ := ext fun _ => rfl

theorem lsubtypeDomain_apply (f : α →₀ M) :
    (lsubtypeDomain s : (α →₀ M) →ₗ[R] s →₀ M) f = subtypeDomain (fun x => x ∈ s) f :=
  rfl

end LSubtypeDomain

@[simp]
theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b :=
  rfl

@[simp]
theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
  rfl

@[simp]
theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp

@[simp]

Target:
theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') :
    lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) :=

Failed candidate:
by
 have __repair_d7797ff385 : False := True.intro
 ext; simp [h.symm]

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:145:37: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:


<LEAN_FILE>:134:38: error: Type mismatch
  True.intro
has type
  True
but is expected to have type
  False

Response:
by
  rw [← decompose_symm_of _, Equiv.apply_symm_apply]

[User]
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.DirectSum.Module
public import Mathlib.Algebra.Module.Submodule.Basic

Namespace:
DirectSum

Local safe context:
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser, Jujian Zhang
-/
/-!
# Decompositions of additive monoids, groups, and modules into direct sums

## Main definitions

* `DirectSum.Decomposition ℳ`: A typeclass to provide a constructive decomposition from
  an additive monoid `M` into a family of additive submonoids `ℳ`
* `DirectSum.decompose ℳ`: The canonical equivalence provided by the above typeclass

## Main statements

* `DirectSum.Decomposition.isInternal`: The link to `DirectSum.IsInternal`.

## Implementation details

As we want to talk about different types of decomposition (additive monoids, modules, rings, ...),
we choose to avoid heavily bundling `DirectSum.decompose`, instead making copies for the
`AddEquiv`, `LinearEquiv`, etc. This means we have to repeat statements that follow from these
bundled homs, but means we don't have to repeat statements for different types of decomposition.
-/

@[expose] public section

variable {ι R M σ : Type*}

open DirectSum

namespace DirectSum

section AddCommMonoid

variable [DecidableEq ι] [AddCommMonoid M]
variable [SetLike σ M] [AddSubmonoidClass σ M] (ℳ : ι → σ)

/-- A decomposition is an equivalence between an additive monoid `M` and a direct sum of additive
submonoids `ℳ i` of that `M`, such that the "recomposition" is canonical. This definition also
works for additive groups and modules.

This is a version of `DirectSum.IsInternal` which comes with a constructive inverse to the
canonical "recomposition" rather than just a proof that the "recomposition" is bijective.

Often it is easier to construct a term of this type via `Decomposition.ofAddHom` or
`Decomposition.ofLinearMap`. -/
class Decomposition where
  decompose' : M → ⨁ i, ℳ i
  left_inv : Function.LeftInverse (DirectSum.coeAddMonoidHom ℳ) decompose'
  right_inv : Function.RightInverse (DirectSum.coeAddMonoidHom ℳ) decompose'

/-- `DirectSum.Decomposition` instances, while carrying data, are always equal. -/
instance : Subsingleton (Decomposition ℳ) :=
  ⟨fun x y ↦ by
    obtain ⟨_, _, xr⟩ := x
    obtain ⟨_, yl, _⟩ := y
    congr
    exact Function.LeftInverse.eq_rightInverse xr yl⟩

/-- A convenience method to construct a decomposition from an `AddMonoidHom`, such that the proofs
of left and right inverse can be constructed via `ext`. -/
abbrev Decomposition.ofAddHom (decompose : M →+ ⨁ i, ℳ i)
    (h_left_inv : (DirectSum.coeAddMonoidHom ℳ).comp decompose = .id _)
    (h_right_inv : decompose.comp (DirectSum.coeAddMonoidHom ℳ) = .id _) : Decomposition ℳ where
  decompose' := decompose
  left_inv := DFunLike.congr_fun h_left_inv
  right_inv := DFunLike.congr_fun h_right_inv

/-- Noncomputably conjure a decomposition instance from a `DirectSum.IsInternal` proof. -/
@[implicit_reducible]
noncomputable def IsInternal.chooseDecomposition (h : IsInternal ℳ) :
    DirectSum.Decomposition ℳ where
  decompose' := (Equiv.ofBijective _ h).symm
  left_inv := (Equiv.ofBijective _ h).right_inv
  right_inv := (Equiv.ofBijective _ h).left_inv

variable [Decomposition ℳ]

protected theorem Decomposition.isInternal : DirectSum.IsInternal ℳ :=
  ⟨Decomposition.right_inv.injective, Decomposition.left_inv.surjective⟩

/-- If `M` is graded by `ι` with degree `i` component `ℳ i`, then it is isomorphic as
to a direct sum of components. This is the canonical spelling of the `decompose'` field. -/
def decompose : M ≃ ⨁ i, ℳ i where
  toFun := Decomposition.decompose'
  invFun := DirectSum.coeAddMonoidHom ℳ
  left_inv := Decomposition.left_inv
  right_inv := Decomposition.right_inv

omit [AddSubmonoidClass σ M] in
/-- A substructure `p ⊆ M` is homogeneous if for every `m ∈ p`, all homogeneous components
  of `m` are in `p`. -/
def SetLike.IsHomogeneous {P : Type*} [SetLike P M] (p : P) : Prop :=
  ∀ (i : ι) ⦃m : M⦄, m ∈ p → (DirectSum.decompose ℳ m i : M) ∈ p

@[elab_as_elim]
protected theorem Decomposition.inductionOn {motive : M → Prop} (zero : motive 0)
    (homogeneous : ∀ {i} (m : ℳ i), motive (m : M))
    (add : ∀ m m' : M, motive m → motive m' → motive (m + m')) : ∀ m, motive m := by
  let ℳ' : ι → AddSubmonoid M := fun i ↦
    (⟨⟨ℳ i, fun x y ↦ AddMemClass.add_mem x y⟩, (ZeroMemClass.zero_mem _)⟩ : AddSubmonoid M)
  haveI t : DirectSum.Decomposition ℳ' :=
    { decompose' := DirectSum.decompose ℳ
      left_inv := fun _ ↦ (decompose ℳ).left_inv _
      right_inv := fun _ ↦ (decompose ℳ).right_inv _ }
  have mem : ∀ m, m ∈ iSup ℳ' := fun _m ↦
    (DirectSum.IsInternal.addSubmonoid_iSup_eq_top ℳ' (Decomposition.isInternal ℳ')).symm ▸ trivial
  -- Porting note: needs to use @ even though no implicit argument is provided
  exact fun m ↦ @AddSubmonoid.iSup_induction _ _ _ ℳ' _ _ (mem m)
    (fun i m h ↦ homogeneous ⟨m, h⟩) zero add
--  exact fun m ↦
--    AddSubmonoid.iSup_induction ℳ' (mem m) (fun i m h ↦ h_homogeneous ⟨m, h⟩) h_zero h_add

@[simp]
theorem Decomposition.decompose'_eq : Decomposition.decompose' = decompose ℳ := rfl

@[simp]
theorem decompose_symm_of {i : ι} (x : ℳ i) : (decompose ℳ).symm (DirectSum.of _ i x) = x :=
  DirectSum.coeAddMonoidHom_of ℳ _ _

@[simp]

Target:
theorem decompose_coe {i : ι} (x : ℳ i) : decompose ℳ (x : M) = DirectSum.of _ i x :=

Failed candidate:
by
  have __repair_d5f2f6884e : False := True.intro
  rw [← decompose_symm_of _, Equiv.apply_symm_apply]

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:134:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:

[Assistant]
by
  rw [← decompose_symm_of _, Equiv.apply_symm_apply]

Prompt:
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.DirectSum.Module
public import Mathlib.Algebra.Module.Submodule.Basic

Namespace:
DirectSum

Local safe context:
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser, Jujian Zhang
-/
/-!
# Decompositions of additive monoids, groups, and modules into direct sums

## Main definitions

* `DirectSum.Decomposition ℳ`: A typeclass to provide a constructive decomposition from
  an additive monoid `M` into a family of additive submonoids `ℳ`
* `DirectSum.decompose ℳ`: The canonical equivalence provided by the above typeclass

## Main statements

* `DirectSum.Decomposition.isInternal`: The link to `DirectSum.IsInternal`.

## Implementation details

As we want to talk about different types of decomposition (additive monoids, modules, rings, ...),
we choose to avoid heavily bundling `DirectSum.decompose`, instead making copies for the
`AddEquiv`, `LinearEquiv`, etc. This means we have to repeat statements that follow from these
bundled homs, but means we don't have to repeat statements for different types of decomposition.
-/

@[expose] public section

variable {ι R M σ : Type*}

open DirectSum

namespace DirectSum

section AddCommMonoid

variable [DecidableEq ι] [AddCommMonoid M]
variable [SetLike σ M] [AddSubmonoidClass σ M] (ℳ : ι → σ)

/-- A decomposition is an equivalence between an additive monoid `M` and a direct sum of additive
submonoids `ℳ i` of that `M`, such that the "recomposition" is canonical. This definition also
works for additive groups and modules.

This is a version of `DirectSum.IsInternal` which comes with a constructive inverse to the
canonical "recomposition" rather than just a proof that the "recomposition" is bijective.

Often it is easier to construct a term of this type via `Decomposition.ofAddHom` or
`Decomposition.ofLinearMap`. -/
class Decomposition where
  decompose' : M → ⨁ i, ℳ i
  left_inv : Function.LeftInverse (DirectSum.coeAddMonoidHom ℳ) decompose'
  right_inv : Function.RightInverse (DirectSum.coeAddMonoidHom ℳ) decompose'

/-- `DirectSum.Decomposition` instances, while carrying data, are always equal. -/
instance : Subsingleton (Decomposition ℳ) :=
  ⟨fun x y ↦ by
    obtain ⟨_, _, xr⟩ := x
    obtain ⟨_, yl, _⟩ := y
    congr
    exact Function.LeftInverse.eq_rightInverse xr yl⟩

/-- A convenience method to construct a decomposition from an `AddMonoidHom`, such that the proofs
of left and right inverse can be constructed via `ext`. -/
abbrev Decomposition.ofAddHom (decompose : M →+ ⨁ i, ℳ i)
    (h_left_inv : (DirectSum.coeAddMonoidHom ℳ).comp decompose = .id _)
    (h_right_inv : decompose.comp (DirectSum.coeAddMonoidHom ℳ) = .id _) : Decomposition ℳ where
  decompose' := decompose
  left_inv := DFunLike.congr_fun h_left_inv
  right_inv := DFunLike.congr_fun h_right_inv

/-- Noncomputably conjure a decomposition instance from a `DirectSum.IsInternal` proof. -/
@[implicit_reducible]
noncomputable def IsInternal.chooseDecomposition (h : IsInternal ℳ) :
    DirectSum.Decomposition ℳ where
  decompose' := (Equiv.ofBijective _ h).symm
  left_inv := (Equiv.ofBijective _ h).right_inv
  right_inv := (Equiv.ofBijective _ h).left_inv

variable [Decomposition ℳ]

protected theorem Decomposition.isInternal : DirectSum.IsInternal ℳ :=
  ⟨Decomposition.right_inv.injective, Decomposition.left_inv.surjective⟩

/-- If `M` is graded by `ι` with degree `i` component `ℳ i`, then it is isomorphic as
to a direct sum of components. This is the canonical spelling of the `decompose'` field. -/
def decompose : M ≃ ⨁ i, ℳ i where
  toFun := Decomposition.decompose'
  invFun := DirectSum.coeAddMonoidHom ℳ
  left_inv := Decomposition.left_inv
  right_inv := Decomposition.right_inv

omit [AddSubmonoidClass σ M] in
/-- A substructure `p ⊆ M` is homogeneous if for every `m ∈ p`, all homogeneous components
  of `m` are in `p`. -/
def SetLike.IsHomogeneous {P : Type*} [SetLike P M] (p : P) : Prop :=
  ∀ (i : ι) ⦃m : M⦄, m ∈ p → (DirectSum.decompose ℳ m i : M) ∈ p

@[elab_as_elim]
protected theorem Decomposition.inductionOn {motive : M → Prop} (zero : motive 0)
    (homogeneous : ∀ {i} (m : ℳ i), motive (m : M))
    (add : ∀ m m' : M, motive m → motive m' → motive (m + m')) : ∀ m, motive m := by
  let ℳ' : ι → AddSubmonoid M := fun i ↦
    (⟨⟨ℳ i, fun x y ↦ AddMemClass.add_mem x y⟩, (ZeroMemClass.zero_mem _)⟩ : AddSubmonoid M)
  haveI t : DirectSum.Decomposition ℳ' :=
    { decompose' := DirectSum.decompose ℳ
      left_inv := fun _ ↦ (decompose ℳ).left_inv _
      right_inv := fun _ ↦ (decompose ℳ).right_inv _ }
  have mem : ∀ m, m ∈ iSup ℳ' := fun _m ↦
    (DirectSum.IsInternal.addSubmonoid_iSup_eq_top ℳ' (Decomposition.isInternal ℳ')).symm ▸ trivial
  -- Porting note: needs to use @ even though no implicit argument is provided
  exact fun m ↦ @AddSubmonoid.iSup_induction _ _ _ ℳ' _ _ (mem m)
    (fun i m h ↦ homogeneous ⟨m, h⟩) zero add
--  exact fun m ↦
--    AddSubmonoid.iSup_induction ℳ' (mem m) (fun i m h ↦ h_homogeneous ⟨m, h⟩) h_zero h_add

@[simp]
theorem Decomposition.decompose'_eq : Decomposition.decompose' = decompose ℳ := rfl

@[simp]
theorem decompose_symm_of {i : ι} (x : ℳ i) : (decompose ℳ).symm (DirectSum.of _ i x) = x :=
  DirectSum.coeAddMonoidHom_of ℳ _ _

@[simp]

Target:
theorem decompose_coe {i : ι} (x : ℳ i) : decompose ℳ (x : M) = DirectSum.of _ i x :=

Failed candidate:
by
  have __repair_d5f2f6884e : False := True.intro
  rw [← decompose_symm_of _, Equiv.apply_symm_apply]

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:134:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:


<LEAN_FILE>:206:41: error(lean.invalidField): Invalid field `nonexistentProjection`: The environment does not contain `True.nonexistentProjection`, so it is not possible to project the field `nonexistentProjection` from an expression
  True.intro
of type `True`
<LEAN_FILE>:205:0: error: unsolved goals
m : Type u_2
n : Type u_3
α : Type u_11
inst✝⁴ : Semiring α
inst✝³ : DecidableEq n
inst✝² : Fintype n
inst✝¹ : DecidableEq m
inst✝ : Fintype m
r : α
M : Matrix m n α
⊢ (scalar m) r * M = M * (scalar n) r ↔ r • M = MulOpposite.op r • M

Response:
by
  simp_rw [scalar_apply, ← smul_eq_diagonal_mul, ← op_smul_eq_mul_diagonal]

[User]
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.Algebra.Opposite
public import Mathlib.Algebra.Algebra.Pi
public import Mathlib.Algebra.BigOperators.RingEquiv
public import Mathlib.Data.Finite.Prod
public import Mathlib.Data.Matrix.Mul
public import Mathlib.LinearAlgebra.Pi
public import Mathlib.GroupTheory.DedekindFinite

Namespace:
Matrix

Local safe context:
/-
Copyright (c) 2018 Ellen Arlt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ellen Arlt, Blair Shi, Sean Leather, Mario Carneiro, Johan Commelin, Lu-Ming Zhang
-/
/-!
# Matrices

This file contains basic results on matrices including bundled versions of matrix operators.

## Implementation notes

For convenience, `Matrix m n α` is defined as `m → n → α`, as this allows elements of the matrix
to be accessed with `A i j`. However, it is not advisable to _construct_ matrices using terms of the
form `fun i j ↦ _` or even `(fun i j ↦ _ : Matrix m n α)`, as these are not recognized by Lean
as having the right type. Instead, `Matrix.of` should be used.

## TODO

Under various conditions, multiplication of infinite matrices makes sense.
These have not yet been implemented.
-/

@[expose] public section

assert_not_exists TrivialStar

universe u u' v w

variable {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variable {R S T A α β γ : Type*}

namespace Matrix

instance decidableEq [DecidableEq α] [Fintype m] [Fintype n] : DecidableEq (Matrix m n α) :=
  Fintype.decidablePiFintype

instance {n m} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (α) [Fintype α] :
    Fintype (Matrix m n α) := inferInstanceAs (Fintype (m → n → α))

instance {n m} [Finite m] [Finite n] (α) [Finite α] :
    Finite (Matrix m n α) := inferInstanceAs (Finite (m → n → α))

instance (priority := low) [Semiring α] [Finite α] : IsStablyFiniteRing α := ⟨inferInstance⟩

section
variable (R)

/-- This is `Matrix.of` bundled as a linear equivalence. -/
def ofLinearEquiv [Semiring R] [AddCommMonoid α] [Module R α] : (m → n → α) ≃ₗ[R] Matrix m n α where
  __ := ofAddEquiv
  map_smul' _ _ := rfl

@[simp] lemma coe_ofLinearEquiv [Semiring R] [AddCommMonoid α] [Module R α] :
    ⇑(ofLinearEquiv _ : (m → n → α) ≃ₗ[R] Matrix m n α) = of := rfl
@[simp] lemma coe_ofLinearEquiv_symm [Semiring R] [AddCommMonoid α] [Module R α] :
    ⇑((ofLinearEquiv _).symm : Matrix m n α ≃ₗ[R] (m → n → α)) = of.symm := rfl

end

theorem sum_apply [AddCommMonoid α] (i : m) (j : n) (s : Finset β) (g : β → Matrix m n α) :
    (∑ c ∈ s, g c) i j = ∑ c ∈ s, g c i j :=
  (congr_fun (s.sum_apply i g) j).trans (s.sum_apply j _)

end Matrix

open Matrix

namespace Matrix

section Diagonal

variable [DecidableEq n]

variable (n α)

/-- `Matrix.diagonal` as an `AddMonoidHom`. -/
@[simps]
def diagonalAddMonoidHom [AddZeroClass α] : (n → α) →+ Matrix n n α where
  toFun := diagonal
  map_zero' := diagonal_zero
  map_add' x y := (diagonal_add x y).symm

variable (R)

/-- `Matrix.diagonal` as a `LinearMap`. -/
@[simps]
def diagonalLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : (n → α) →ₗ[R] Matrix n n α :=
  { diagonalAddMonoidHom n α with map_smul' := diagonal_smul }

variable {n α R}

section One

variable [Zero α] [One α]

lemma zero_le_one_elem [Preorder α] [ZeroLEOneClass α] (i j : n) :
    0 ≤ (1 : Matrix n n α) i j := by
  by_cases hi : i = j
  · subst hi
    simp
  · simp [hi]

lemma zero_le_one_row [Preorder α] [ZeroLEOneClass α] (i : n) :
    0 ≤ (1 : Matrix n n α) i :=
  zero_le_one_elem i

end One

end Diagonal

section Diag

variable (n α)

/-- `Matrix.diag` as an `AddMonoidHom`. -/
@[simps]
def diagAddMonoidHom [AddZeroClass α] : Matrix n n α →+ n → α where
  toFun := diag
  map_zero' := diag_zero
  map_add' := diag_add

variable (R)

/-- `Matrix.diag` as a `LinearMap`. -/
@[simps]
def diagLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : Matrix n n α →ₗ[R] n → α :=
  { diagAddMonoidHom n α with map_smul' := diag_smul }

variable {n α R}

@[simp]
theorem diag_list_sum [AddMonoid α] (l : List (Matrix n n α)) : diag l.sum = (l.map diag).sum :=
  map_list_sum (diagAddMonoidHom n α) l

@[simp]
theorem diag_multiset_sum [AddCommMonoid α] (s : Multiset (Matrix n n α)) :
    diag s.sum = (s.map diag).sum :=
  map_multiset_sum (diagAddMonoidHom n α) s

@[simp]
theorem diag_sum {ι} [AddCommMonoid α] (s : Finset ι) (f : ι → Matrix n n α) :
    diag (∑ i ∈ s, f i) = ∑ i ∈ s, diag (f i) :=
  map_sum (diagAddMonoidHom n α) f s

end Diag

open Matrix

section NonAssocSemiring

variable [NonAssocSemiring α]

variable (α n)

/-- `Matrix.diagonal` as a `RingHom`. -/
@[simps]
def diagonalRingHom [Fintype n] [DecidableEq n] : (n → α) →+* Matrix n n α :=
  { diagonalAddMonoidHom n α with
    toFun := diagonal
    map_one' := diagonal_one
    map_mul' := fun _ _ => (diagonal_mul_diagonal' _ _).symm }

end NonAssocSemiring

section Semiring

variable [Semiring α]

theorem diagonal_pow [Fintype n] [DecidableEq n] (v : n → α) (k : ℕ) :
    diagonal v ^ k = diagonal (v ^ k) :=
  (map_pow (diagonalRingHom n α) v k).symm

/-- The ring homomorphism `α →+* Matrix n n α`
sending `a` to the diagonal matrix with `a` on the diagonal.
-/
def scalar (n : Type u) [DecidableEq n] [Fintype n] : α →+* Matrix n n α :=
  (diagonalRingHom n α).comp <| Pi.constRingHom n α

section Scalar

variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m]

@[simp]
theorem scalar_apply (a : α) : scalar n a = diagonal fun _ => a :=
  rfl

theorem scalar_inj [Nonempty n] {r s : α} : scalar n r = scalar n s ↔ r = s :=
  (diagonal_injective.comp Function.const_injective).eq_iff

/-- A version of `Matrix.scalar_commute_iff` for rectangular matrices. -/

Target:
theorem scalar_comm_iff {r : α} {M : Matrix m n α} :
    scalar m r * M = M * scalar n r ↔ r • M = MulOpposite.op r • M :=

Failed candidate:
by
  have __repair_e5bd5ad7e8 := True.intro.nonexistentProjection
  simp_rw [scalar_apply, ← smul_eq_diagonal_mul, ← op_smul_eq_mul_diagonal]

Structured Lean error:
{"kind": "invalid_projection", "message": "<LEAN_FILE>:206:41: error(lean.invalidField): Invalid field `nonexistentProjection`: The environment does not contain `True.nonexistentProjection`, so it is not possible to project the field `nonexistentProjection` from an expression\n  True.intro\nof type `True`\n<LEAN_FILE>:205:0: error: unsolved goals\nm : Type u_2\nn : Type u_3\nα : Type u_11\ninst✝⁴ : Semiring α\ninst✝³ : DecidableEq n\ninst✝² : Fintype n\ninst✝¹ : DecidableEq m\ninst✝ : Fintype m\nr : α\nM : Matrix m n α\n⊢ (scalar m) r * M = M * (scalar n) r ↔ r • M = MulOpposite.op r • M", "returncode": 1}

Corrected proof:

[Assistant]
by
  simp_rw [scalar_apply, ← smul_eq_diagonal_mul, ← op_smul_eq_mul_diagonal]

Prompt:
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.Algebra.Algebra.Opposite
public import Mathlib.Algebra.Algebra.Pi
public import Mathlib.Algebra.BigOperators.RingEquiv
public import Mathlib.Data.Finite.Prod
public import Mathlib.Data.Matrix.Mul
public import Mathlib.LinearAlgebra.Pi
public import Mathlib.GroupTheory.DedekindFinite

Namespace:
Matrix

Local safe context:
/-
Copyright (c) 2018 Ellen Arlt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ellen Arlt, Blair Shi, Sean Leather, Mario Carneiro, Johan Commelin, Lu-Ming Zhang
-/
/-!
# Matrices

This file contains basic results on matrices including bundled versions of matrix operators.

## Implementation notes

For convenience, `Matrix m n α` is defined as `m → n → α`, as this allows elements of the matrix
to be accessed with `A i j`. However, it is not advisable to _construct_ matrices using terms of the
form `fun i j ↦ _` or even `(fun i j ↦ _ : Matrix m n α)`, as these are not recognized by Lean
as having the right type. Instead, `Matrix.of` should be used.

## TODO

Under various conditions, multiplication of infinite matrices makes sense.
These have not yet been implemented.
-/

@[expose] public section

assert_not_exists TrivialStar

universe u u' v w

variable {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variable {R S T A α β γ : Type*}

namespace Matrix

instance decidableEq [DecidableEq α] [Fintype m] [Fintype n] : DecidableEq (Matrix m n α) :=
  Fintype.decidablePiFintype

instance {n m} [Fintype m] [DecidableEq m] [Fintype n] [DecidableEq n] (α) [Fintype α] :
    Fintype (Matrix m n α) := inferInstanceAs (Fintype (m → n → α))

instance {n m} [Finite m] [Finite n] (α) [Finite α] :
    Finite (Matrix m n α) := inferInstanceAs (Finite (m → n → α))

instance (priority := low) [Semiring α] [Finite α] : IsStablyFiniteRing α := ⟨inferInstance⟩

section
variable (R)

/-- This is `Matrix.of` bundled as a linear equivalence. -/
def ofLinearEquiv [Semiring R] [AddCommMonoid α] [Module R α] : (m → n → α) ≃ₗ[R] Matrix m n α where
  __ := ofAddEquiv
  map_smul' _ _ := rfl

@[simp] lemma coe_ofLinearEquiv [Semiring R] [AddCommMonoid α] [Module R α] :
    ⇑(ofLinearEquiv _ : (m → n → α) ≃ₗ[R] Matrix m n α) = of := rfl
@[simp] lemma coe_ofLinearEquiv_symm [Semiring R] [AddCommMonoid α] [Module R α] :
    ⇑((ofLinearEquiv _).symm : Matrix m n α ≃ₗ[R] (m → n → α)) = of.symm := rfl

end

theorem sum_apply [AddCommMonoid α] (i : m) (j : n) (s : Finset β) (g : β → Matrix m n α) :
    (∑ c ∈ s, g c) i j = ∑ c ∈ s, g c i j :=
  (congr_fun (s.sum_apply i g) j).trans (s.sum_apply j _)

end Matrix

open Matrix

namespace Matrix

section Diagonal

variable [DecidableEq n]

variable (n α)

/-- `Matrix.diagonal` as an `AddMonoidHom`. -/
@[simps]
def diagonalAddMonoidHom [AddZeroClass α] : (n → α) →+ Matrix n n α where
  toFun := diagonal
  map_zero' := diagonal_zero
  map_add' x y := (diagonal_add x y).symm

variable (R)

/-- `Matrix.diagonal` as a `LinearMap`. -/
@[simps]
def diagonalLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : (n → α) →ₗ[R] Matrix n n α :=
  { diagonalAddMonoidHom n α with map_smul' := diagonal_smul }

variable {n α R}

section One

variable [Zero α] [One α]

lemma zero_le_one_elem [Preorder α] [ZeroLEOneClass α] (i j : n) :
    0 ≤ (1 : Matrix n n α) i j := by
  by_cases hi : i = j
  · subst hi
    simp
  · simp [hi]

lemma zero_le_one_row [Preorder α] [ZeroLEOneClass α] (i : n) :
    0 ≤ (1 : Matrix n n α) i :=
  zero_le_one_elem i

end One

end Diagonal

section Diag

variable (n α)

/-- `Matrix.diag` as an `AddMonoidHom`. -/
@[simps]
def diagAddMonoidHom [AddZeroClass α] : Matrix n n α →+ n → α where
  toFun := diag
  map_zero' := diag_zero
  map_add' := diag_add

variable (R)

/-- `Matrix.diag` as a `LinearMap`. -/
@[simps]
def diagLinearMap [Semiring R] [AddCommMonoid α] [Module R α] : Matrix n n α →ₗ[R] n → α :=
  { diagAddMonoidHom n α with map_smul' := diag_smul }

variable {n α R}

@[simp]
theorem diag_list_sum [AddMonoid α] (l : List (Matrix n n α)) : diag l.sum = (l.map diag).sum :=
  map_list_sum (diagAddMonoidHom n α) l

@[simp]
theorem diag_multiset_sum [AddCommMonoid α] (s : Multiset (Matrix n n α)) :
    diag s.sum = (s.map diag).sum :=
  map_multiset_sum (diagAddMonoidHom n α) s

@[simp]
theorem diag_sum {ι} [AddCommMonoid α] (s : Finset ι) (f : ι → Matrix n n α) :
    diag (∑ i ∈ s, f i) = ∑ i ∈ s, diag (f i) :=
  map_sum (diagAddMonoidHom n α) f s

end Diag

open Matrix

section NonAssocSemiring

variable [NonAssocSemiring α]

variable (α n)

/-- `Matrix.diagonal` as a `RingHom`. -/
@[simps]
def diagonalRingHom [Fintype n] [DecidableEq n] : (n → α) →+* Matrix n n α :=
  { diagonalAddMonoidHom n α with
    toFun := diagonal
    map_one' := diagonal_one
    map_mul' := fun _ _ => (diagonal_mul_diagonal' _ _).symm }

end NonAssocSemiring

section Semiring

variable [Semiring α]

theorem diagonal_pow [Fintype n] [DecidableEq n] (v : n → α) (k : ℕ) :
    diagonal v ^ k = diagonal (v ^ k) :=
  (map_pow (diagonalRingHom n α) v k).symm

/-- The ring homomorphism `α →+* Matrix n n α`
sending `a` to the diagonal matrix with `a` on the diagonal.
-/
def scalar (n : Type u) [DecidableEq n] [Fintype n] : α →+* Matrix n n α :=
  (diagonalRingHom n α).comp <| Pi.constRingHom n α

section Scalar

variable [DecidableEq n] [Fintype n] [DecidableEq m] [Fintype m]

@[simp]
theorem scalar_apply (a : α) : scalar n a = diagonal fun _ => a :=
  rfl

theorem scalar_inj [Nonempty n] {r s : α} : scalar n r = scalar n s ↔ r = s :=
  (diagonal_injective.comp Function.const_injective).eq_iff

/-- A version of `Matrix.scalar_commute_iff` for rectangular matrices. -/

Target:
theorem scalar_comm_iff {r : α} {M : Matrix m n α} :
    scalar m r * M = M * scalar n r ↔ r • M = MulOpposite.op r • M :=

Failed candidate:
by
  have __repair_e5bd5ad7e8 := True.intro.nonexistentProjection
  simp_rw [scalar_apply, ← smul_eq_diagonal_mul, ← op_smul_eq_mul_diagonal]

Structured Lean error:
{"kind": "invalid_projection", "message": "<LEAN_FILE>:206:41: error(lean.invalidField): Invalid field `nonexistentProjection`: The environment does not contain `True.nonexistentProjection`, so it is not possible to project the field `nonexistentProjection` from an expression\n  True.intro\nof type `True`\n<LEAN_FILE>:205:0: error: unsolved goals\nm : Type u_2\nn : Type u_3\nα : Type u_11\ninst✝⁴ : Semiring α\ninst✝³ : DecidableEq n\ninst✝² : Fintype n\ninst✝¹ : DecidableEq m\ninst✝ : Fintype m\nr : α\nM : Matrix m n α\n⊢ (scalar m) r * M = M * (scalar n) r ↔ r • M = MulOpposite.op r • M", "returncode": 1}

Corrected proof:


<LEAN_FILE>:80:30: error(lean.unknownIdentifier): Unknown identifier `OProverMissing69afc04046.value`
<LEAN_FILE>:79:0: error: unsolved goals
R : Type u_1
M₁ : Type u_3
M₂ : Type u_4
inst✝⁸ : CommRing R
inst✝⁷ : AddCommGroup M₁
inst✝⁶ : Module R M₁
inst✝⁵ : Module.Finite R M₁
inst✝⁴ : Free R M₁
inst✝³ : AddCommGroup M₂
inst✝² : Module R M₂
inst✝¹ : Module.Finite R M₂
inst✝ : Free R M₂
e : M₁ ≃ₗ[R] M₂
φ : End R M₁
⊢ LinearMap.charpoly (e.conj φ) = LinearMap.charpoly φ

Response:
by
  let b := chooseBasis R M₁
  rw [← LinearMap.charpoly_toMatrix φ b, ← LinearMap.charpoly_toMatrix (e.conj φ) (b.map e)]
  congr 1
  ext i j : 1
  simp [LinearMap.toMatrix]

[User]
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.LinearAlgebra.Charpoly.Basic
public import Mathlib.LinearAlgebra.Matrix.Basis
public import Mathlib.RingTheory.Finiteness.Prod

Namespace:
(root)

Local safe context:
/-
Copyright (c) 2021 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
/-!

# Characteristic polynomial

## Main result

* `LinearMap.charpoly_toMatrix f` : `charpoly f` is the characteristic polynomial of the matrix
  of `f` in any basis.

-/

public section

noncomputable section

open Module Free Polynomial Matrix

universe u v w

variable {R M M₁ M₂ : Type*} [CommRing R]
variable [AddCommGroup M] [Module R M] [Module.Free R M] [Module.Finite R M]
variable [AddCommGroup M₁] [Module R M₁] [Module.Finite R M₁] [Module.Free R M₁]
variable [AddCommGroup M₂] [Module R M₂] [Module.Finite R M₂] [Module.Free R M₂]
variable (f : M →ₗ[R] M)

namespace LinearMap

section Basic

/-- `charpoly f` is the characteristic polynomial of the matrix of `f` in any basis. -/
@[simp]
theorem charpoly_toMatrix {ι : Type w} [DecidableEq ι] [Fintype ι] (b : Basis ι R M) :
    (toMatrix b b f).charpoly = f.charpoly := by
  nontriviality R
  unfold LinearMap.charpoly
  set b' := chooseBasis R M
  rw [← basis_toMatrix_mul_linearMap_toMatrix_mul_basis_toMatrix b b' b b']
  set P := b.toMatrix b'
  set A := toMatrix b' b' f
  set Q := b'.toMatrix b
  let e := Basis.indexEquiv b b'
  let ι' := ChooseBasisIndex R M
  let φ := reindexLinearEquiv R R e e
  let φ₁ := reindexLinearEquiv R R e (Equiv.refl ι')
  let φ₂ := reindexLinearEquiv R R (Equiv.refl ι') (Equiv.refl ι')
  let φ₃ := reindexLinearEquiv R R (Equiv.refl ι') e
  calc
    (P * A * Q).charpoly = (φ (P * A * Q)).charpoly := (charpoly_reindex ..).symm
    _ = (φ₁ P * φ₂ A * φ₃ Q).charpoly := by rw [reindexLinearEquiv_mul, reindexLinearEquiv_mul]
    _ = A.charpoly := by rw [charpoly_mul_comm, ← mul_assoc]; simp [P, Q, φ₁, φ₂, φ₃]

lemma charpoly_prodMap (f₁ : M₁ →ₗ[R] M₁) (f₂ : M₂ →ₗ[R] M₂) :
    (f₁.prodMap f₂).charpoly = f₁.charpoly * f₂.charpoly := by
  let b₁ := chooseBasis R M₁
  let b₂ := chooseBasis R M₂
  let b := b₁.prod b₂
  rw [← charpoly_toMatrix f₁ b₁, ← charpoly_toMatrix f₂ b₂, ← charpoly_toMatrix (f₁.prodMap f₂) b,
    toMatrix_prodMap b₁ b₂ f₁ f₂, Matrix.charpoly_fromBlocks_zero₁₂]

end Basic

end LinearMap

@[simp]

Target:
lemma LinearEquiv.charpoly_conj (e : M₁ ≃ₗ[R] M₂) (φ : Module.End R M₁) :
    (e.conj φ).charpoly = φ.charpoly :=

Failed candidate:
by
  have __repair_69afc04046 := OProverMissing69afc04046.value
  let b := chooseBasis R M₁
  rw [← LinearMap.charpoly_toMatrix φ b, ← LinearMap.charpoly_toMatrix (e.conj φ) (b.map e)]
  congr 1
  ext i j : 1
  simp [LinearMap.toMatrix]

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:80:30: error(lean.unknownIdentifier): Unknown identifier `OProverMissing69afc04046.value`\n<LEAN_FILE>:79:0: error: unsolved goals\nR : Type u_1\nM₁ : Type u_3\nM₂ : Type u_4\ninst✝⁸ : CommRing R\ninst✝⁷ : AddCommGroup M₁\ninst✝⁶ : Module R M₁\ninst✝⁵ : Module.Finite R M₁\ninst✝⁴ : Free R M₁\ninst✝³ : AddCommGroup M₂\ninst✝² : Module R M₂\ninst✝¹ : Module.Finite R M₂\ninst✝ : Free R M₂\ne : M₁ ≃ₗ[R] M₂\nφ : End R M₁\n⊢ LinearMap.charpoly (e.conj φ) = LinearMap.charpoly φ", "returncode": 1}

Corrected proof:

[Assistant]
by
  let b := chooseBasis R M₁
  rw [← LinearMap.charpoly_toMatrix φ b, ← LinearMap.charpoly_toMatrix (e.conj φ) (b.map e)]
  congr 1
  ext i j : 1
  simp [LinearMap.toMatrix]

Prompt:
Repair the failed Lean proof using the exact public context below. Return only one corrected proof body beginning with `by`; no prose or fences.

Imports:
public import Mathlib.LinearAlgebra.Charpoly.Basic
public import Mathlib.LinearAlgebra.Matrix.Basis
public import Mathlib.RingTheory.Finiteness.Prod

Namespace:
(root)

Local safe context:
/-
Copyright (c) 2021 Riccardo Brasca. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
/-!

# Characteristic polynomial

## Main result

* `LinearMap.charpoly_toMatrix f` : `charpoly f` is the characteristic polynomial of the matrix
  of `f` in any basis.

-/

public section

noncomputable section

open Module Free Polynomial Matrix

universe u v w

variable {R M M₁ M₂ : Type*} [CommRing R]
variable [AddCommGroup M] [Module R M] [Module.Free R M] [Module.Finite R M]
variable [AddCommGroup M₁] [Module R M₁] [Module.Finite R M₁] [Module.Free R M₁]
variable [AddCommGroup M₂] [Module R M₂] [Module.Finite R M₂] [Module.Free R M₂]
variable (f : M →ₗ[R] M)

namespace LinearMap

section Basic

/-- `charpoly f` is the characteristic polynomial of the matrix of `f` in any basis. -/
@[simp]
theorem charpoly_toMatrix {ι : Type w} [DecidableEq ι] [Fintype ι] (b : Basis ι R M) :
    (toMatrix b b f).charpoly = f.charpoly := by
  nontriviality R
  unfold LinearMap.charpoly
  set b' := chooseBasis R M
  rw [← basis_toMatrix_mul_linearMap_toMatrix_mul_basis_toMatrix b b' b b']
  set P := b.toMatrix b'
  set A := toMatrix b' b' f
  set Q := b'.toMatrix b
  let e := Basis.indexEquiv b b'
  let ι' := ChooseBasisIndex R M
  let φ := reindexLinearEquiv R R e e
  let φ₁ := reindexLinearEquiv R R e (Equiv.refl ι')
  let φ₂ := reindexLinearEquiv R R (Equiv.refl ι') (Equiv.refl ι')
  let φ₃ := reindexLinearEquiv R R (Equiv.refl ι') e
  calc
    (P * A * Q).charpoly = (φ (P * A * Q)).charpoly := (charpoly_reindex ..).symm
    _ = (φ₁ P * φ₂ A * φ₃ Q).charpoly := by rw [reindexLinearEquiv_mul, reindexLinearEquiv_mul]
    _ = A.charpoly := by rw [charpoly_mul_comm, ← mul_assoc]; simp [P, Q, φ₁, φ₂, φ₃]

lemma charpoly_prodMap (f₁ : M₁ →ₗ[R] M₁) (f₂ : M₂ →ₗ[R] M₂) :
    (f₁.prodMap f₂).charpoly = f₁.charpoly * f₂.charpoly := by
  let b₁ := chooseBasis R M₁
  let b₂ := chooseBasis R M₂
  let b := b₁.prod b₂
  rw [← charpoly_toMatrix f₁ b₁, ← charpoly_toMatrix f₂ b₂, ← charpoly_toMatrix (f₁.prodMap f₂) b,
    toMatrix_prodMap b₁ b₂ f₁ f₂, Matrix.charpoly_fromBlocks_zero₁₂]

end Basic

end LinearMap

@[simp]

Target:
lemma LinearEquiv.charpoly_conj (e : M₁ ≃ₗ[R] M₂) (φ : Module.End R M₁) :
    (e.conj φ).charpoly = φ.charpoly :=

Failed candidate:
by
  have __repair_69afc04046 := OProverMissing69afc04046.value
  let b := chooseBasis R M₁
  rw [← LinearMap.charpoly_toMatrix φ b, ← LinearMap.charpoly_toMatrix (e.conj φ) (b.map e)]
  congr 1
  ext i j : 1
  simp [LinearMap.toMatrix]

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:80:30: error(lean.unknownIdentifier): Unknown identifier `OProverMissing69afc04046.value`\n<LEAN_FILE>:79:0: error: unsolved goals\nR : Type u_1\nM₁ : Type u_3\nM₂ : Type u_4\ninst✝⁸ : CommRing R\ninst✝⁷ : AddCommGroup M₁\ninst✝⁶ : Module R M₁\ninst✝⁵ : Module.Finite R M₁\ninst✝⁴ : Free R M₁\ninst✝³ : AddCommGroup M₂\ninst✝² : Module R M₂\ninst✝¹ : Module.Finite R M₂\ninst✝ : Free R M₂\ne : M₁ ≃ₗ[R] M₂\nφ : End R M₁\n⊢ LinearMap.charpoly (e.conj φ) = LinearMap.charpoly φ", "returncode": 1}

Corrected proof: