<LEAN_FILE>:211:43: error: unsolved goals
K : Type u
V : Type v
inst✝⁶ : DivisionRing K
inst✝⁵ : AddCommGroup V
inst✝⁴ : Module K V
V₂ : Type v'
inst✝³ : AddCommGroup V₂
inst✝² : Module K V₂
inst✝¹ : FiniteDimensional K V
inst✝ : FiniteDimensional K V₂
H : finrank K V = finrank K V₂
f : V →ₗ[K] V₂
⊢ False

Response:
by
  rw [range_eq_top, ker_eq_bot, injective_iff_surjective_of_finrank_eq_finrank H]

/-- Given a linear map `f` between two vector spaces with the same dimension, if
`ker f = ⊥` then `linearEquivOfInjective` is the induced isomorphism
between the two vector spaces. -/
noncomputable def linearEquivOfInjective [FiniteDimensional K V] [FiniteDimensional K V₂]
    (f : V →ₗ[K] V₂) (hf : Injective f) (hdim : finrank K V = finrank K V₂) : V ≃ₗ[K] V₂ :=
  LinearEquiv.ofBijective f
    ⟨hf, (LinearMap.injective_iff_surjective_of_finrank_eq_finrank hdim).mp hf⟩

[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.Dimension.DivisionRing
public import Mathlib.LinearAlgebra.Dimension.FreeAndStrongRankCondition
public import Mathlib.LinearAlgebra.FiniteDimensional.Basic
public import Mathlib.Tactic.IntervalCases

Namespace:
LinearMap

Local safe context:
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
/-!
# Finite-dimensional vector spaces

This file contains some further development of finite-dimensional vector spaces, their dimensions,
and linear maps on such spaces.

Definitions are in `Mathlib/LinearAlgebra/FiniteDimensional/Defs.lean`
and results that require fewer imports are in `Mathlib/LinearAlgebra/FiniteDimensional/Basic.lean`.
-/

@[expose] public section

assert_not_exists Monoid.exponent Module.IsTorsion

universe u v v'

open Cardinal Submodule Module Function

variable {K : Type u} {V : Type v}

namespace Submodule

open IsNoetherian Module

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V]

/-- The dimension of a strict submodule is strictly bounded by the dimension of the ambient
space.

See also `Submodule.length_lt`. -/
theorem finrank_lt [FiniteDimensional K V] {s : Submodule K V} (h : s ≠ ⊤) :
    finrank K s < finrank K V := by
  rw [← s.finrank_quotient_add_finrank, add_comm]
  rw [← Quotient.nontrivial_iff] at h
  exact Nat.lt_add_of_pos_right finrank_pos

/-- The sum of the dimensions of s + t and s ∩ t is the sum of the dimensions of s and t -/
theorem finrank_sup_add_finrank_inf_eq (s t : Submodule K V) [FiniteDimensional K s]
    [FiniteDimensional K t] :
    finrank K ↑(s ⊔ t) + finrank K ↑(s ⊓ t) = finrank K ↑s + finrank K ↑t := by
  have key : Module.rank K ↑(s ⊔ t) + Module.rank K ↑(s ⊓ t) = Module.rank K s + Module.rank K t :=
    rank_sup_add_rank_inf_eq s t
  repeat rw [← finrank_eq_rank] at key
  norm_cast at key

theorem finrank_add_le_finrank_add_finrank (s t : Submodule K V) [FiniteDimensional K s]
    [FiniteDimensional K t] : finrank K (s ⊔ t : Submodule K V) ≤ finrank K s + finrank K t := by
  rw [← finrank_sup_add_finrank_inf_eq]
  exact self_le_add_right _ _

theorem finrank_add_finrank_le_of_disjoint [FiniteDimensional K V]
    {s t : Submodule K V} (hdisjoint : Disjoint s t) :
    finrank K s + finrank K t ≤ finrank K V := by
  rw [← Submodule.finrank_sup_add_finrank_inf_eq s t, hdisjoint.eq_bot, finrank_bot, add_zero]
  exact Submodule.finrank_le _

theorem eq_top_of_disjoint [FiniteDimensional K V] (s t : Submodule K V)
    (hdim : finrank K V ≤ finrank K s + finrank K t) (hdisjoint : Disjoint s t) : s ⊔ t = ⊤ := by
  have h_finrank_inf : finrank K ↑(s ⊓ t) = 0 := by
    rw [disjoint_iff_inf_le, le_bot_iff] at hdisjoint
    rw [hdisjoint, finrank_bot]
  apply eq_top_of_finrank_eq
  replace hdim : finrank K V = finrank K s + finrank K t :=
    le_antisymm hdim (finrank_add_finrank_le_of_disjoint hdisjoint)
  rw [hdim]
  convert! s.finrank_sup_add_finrank_inf_eq t
  rw [h_finrank_inf, add_zero]

theorem isCompl_iff_disjoint [FiniteDimensional K V] (s t : Submodule K V)
    (hdim : finrank K V ≤ finrank K s + finrank K t) :
    IsCompl s t ↔ Disjoint s t :=
  ⟨fun h ↦ h.1, fun h ↦ ⟨h, codisjoint_iff.mpr <| eq_top_of_disjoint s t hdim h⟩⟩

theorem sup_span_singleton_eq_top_iff [Module.Finite K V] {W : Submodule K V} {v : V} (hv : v ∉ W) :
    W ⊔ span K {v} = ⊤ ↔ finrank K (V ⧸ W) = 1 := by
  refine ⟨fun hW ↦ ?_, fun hW ↦ ?_⟩
  · suffices W ⊓ span K {v} = ⊥ by
      have hv₀ : v ≠ 0 := by aesop
      have aux := finrank_sup_add_finrank_inf_eq W (span K {v})
      rw [hW, finrank_span_singleton hv₀, this, finrank_bot, finrank_top,
        ← finrank_quotient_add_finrank W] at aux
      lia
    refine (Submodule.eq_bot_iff _).mpr fun w hw ↦ ?_
    obtain ⟨ht, t, rfl⟩ : w ∈ W ∧ ∃ t : K, t • v = w := by simpa [mem_span_singleton] using hw
    rcases eq_or_ne t 0 with rfl | ht₀; · simp
    rw [Submodule.smul_mem_iff _ ht₀] at ht
    contradiction
  · apply Submodule.eq_top_of_disjoint
    · rw [← W.finrank_quotient_add_finrank, add_comm, add_le_add_iff_left, hW]
      aesop
    · exact Submodule.disjoint_span_singleton_of_notMem hv

theorem finrank_sup_span_singleton [Module.Finite K V] {p : Submodule K V} {v : V} (hv : v ∉ p) :
    finrank K (p ⊔ Submodule.span K {v} : Submodule K V) = finrank K p + 1 := by
  rw [← Nat.add_left_inj, finrank_sup_add_finrank_inf_eq, add_assoc,
    Nat.add_left_cancel_iff, finrank_span_singleton (by aesop),
    Nat.left_eq_add, Submodule.finrank_eq_zero, eq_bot_iff]
  intro x
  simp only [mem_inf, mem_span_singleton]
  rintro ⟨hx, ⟨a, hx'⟩⟩
  rw [← hx'] at hx
  suffices a = 0 by simp [← hx', this]
  contrapose hv
  simpa [smul_mem_iff p hv] using hx

theorem eq_top_iff_finrank_eq [Module.Finite K V] {W : Submodule K V} :
    W = ⊤ ↔ finrank K W = finrank K V := by
  refine ⟨fun h ↦ by rw [h, finrank_top], fun h ↦ ?_⟩
  apply eq_of_le_of_finrank_eq le_top
  rw [finrank_top, h]

end DivisionRing

end Submodule

namespace FiniteDimensional

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

variable [FiniteDimensional K V] [FiniteDimensional K V₂]

/-- Given isomorphic subspaces `p q` of vector spaces `V` and `V₁` respectively,
  `p.quotient` is isomorphic to `q.quotient`. -/
noncomputable def LinearEquiv.quotEquivOfEquiv {p : Subspace K V} {q : Subspace K V₂}
    (f₁ : p ≃ₗ[K] q) (f₂ : V ≃ₗ[K] V₂) : (V ⧸ p) ≃ₗ[K] V₂ ⧸ q :=
  LinearEquiv.ofFinrankEq _ _
    (by
      rw [← @add_right_cancel_iff _ _ _ (finrank K p), Submodule.finrank_quotient_add_finrank,
        LinearEquiv.finrank_eq f₁, Submodule.finrank_quotient_add_finrank,
        LinearEquiv.finrank_eq f₂])

-- TODO: generalize to the case where one of `p` and `q` is finite-dimensional.
/-- Given the subspaces `p q`, if `p.quotient ≃ₗ[K] q`, then `q.quotient ≃ₗ[K] p` -/
noncomputable def LinearEquiv.quotEquivOfQuotEquiv {p q : Subspace K V} (f : (V ⧸ p) ≃ₗ[K] q) :
    (V ⧸ q) ≃ₗ[K] p :=
  LinearEquiv.ofFinrankEq _ _ <| by
    rw [← add_right_cancel_iff, Submodule.finrank_quotient_add_finrank, ← LinearEquiv.finrank_eq f,
      add_comm, Submodule.finrank_quotient_add_finrank]

end DivisionRing

end FiniteDimensional

namespace LinearMap

open Module

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

/-- rank-nullity theorem : the dimensions of the kernel and the range of a linear map add up to
the dimension of the source space. -/
theorem finrank_range_add_finrank_ker [FiniteDimensional K V] (f : V →ₗ[K] V₂) :
    finrank K (LinearMap.range f) + finrank K (LinearMap.ker f) = finrank K V := by
  rw [← f.quotKerEquivRange.finrank_eq]
  exact Submodule.finrank_quotient_add_finrank _

lemma ker_ne_bot_of_finrank_lt [FiniteDimensional K V] [FiniteDimensional K V₂] {f : V →ₗ[K] V₂}
    (h : finrank K V₂ < finrank K V) :
    LinearMap.ker f ≠ ⊥ := by
  have h₁ := f.finrank_range_add_finrank_ker
  have h₂ : finrank K (LinearMap.range f) ≤ finrank K V₂ := (LinearMap.range f).finrank_le
  suffices 0 < finrank K (LinearMap.ker f) from Submodule.one_le_finrank_iff.mp this
  lia

end DivisionRing

end LinearMap

open Module

namespace LinearMap

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

theorem injective_iff_surjective_of_finrank_eq_finrank [FiniteDimensional K V]
    [FiniteDimensional K V₂] (H : finrank K V = finrank K V₂) {f : V →ₗ[K] V₂} :
    Function.Injective f ↔ Function.Surjective f := by
  have := finrank_range_add_finrank_ker f
  rw [← ker_eq_bot, ← range_eq_top]; refine ⟨fun h => ?_, fun h => ?_⟩
  · rw [h, finrank_bot, add_zero, H] at this
    exact eq_top_of_finrank_eq this
  · rw [h, finrank_top, H] at this
    exact Submodule.finrank_eq_zero.1 (add_right_injective _ this)

Target:
theorem ker_eq_bot_iff_range_eq_top_of_finrank_eq_finrank [FiniteDimensional K V]
    [FiniteDimensional K V₂] (H : finrank K V = finrank K V₂) {f : V →ₗ[K] V₂} :
    LinearMap.ker f = ⊥ ↔ LinearMap.range f = ⊤ :=

Failed candidate:
by
  have __repair_plan_e1a9a5b7fb : False := by
    skip
  rw [range_eq_top, ker_eq_bot, injective_iff_surjective_of_finrank_eq_finrank H]

/-- Given a linear map `f` between two vector spaces with the same dimension, if
`ker f = ⊥` then `linearEquivOfInjective` is the induced isomorphism
between the two vector spaces. -/
noncomputable def linearEquivOfInjective [FiniteDimensional K V] [FiniteDimensional K V₂]
    (f : V →ₗ[K] V₂) (hf : Injective f) (hdim : finrank K V = finrank K V₂) : V ≃ₗ[K] V₂ :=
  LinearEquiv.ofBijective f
    ⟨hf, (LinearMap.injective_iff_surjective_of_finrank_eq_finrank hdim).mp hf⟩

Structured Lean error:
{"kind": "unsolved_goals_multistep_planning", "message": "<LEAN_FILE>:211:43: error: unsolved goals\nK : Type u\nV : Type v\ninst✝⁶ : DivisionRing K\ninst✝⁵ : AddCommGroup V\ninst✝⁴ : Module K V\nV₂ : Type v'\ninst✝³ : AddCommGroup V₂\ninst✝² : Module K V₂\ninst✝¹ : FiniteDimensional K V\ninst✝ : FiniteDimensional K V₂\nH : finrank K V = finrank K V₂\nf : V →ₗ[K] V₂\n⊢ False", "returncode": 1}

Corrected proof:

[Assistant]
by
  rw [range_eq_top, ker_eq_bot, injective_iff_surjective_of_finrank_eq_finrank H]

/-- Given a linear map `f` between two vector spaces with the same dimension, if
`ker f = ⊥` then `linearEquivOfInjective` is the induced isomorphism
between the two vector spaces. -/
noncomputable def linearEquivOfInjective [FiniteDimensional K V] [FiniteDimensional K V₂]
    (f : V →ₗ[K] V₂) (hf : Injective f) (hdim : finrank K V = finrank K V₂) : V ≃ₗ[K] V₂ :=
  LinearEquiv.ofBijective f
    ⟨hf, (LinearMap.injective_iff_surjective_of_finrank_eq_finrank hdim).mp hf⟩

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.Dimension.DivisionRing
public import Mathlib.LinearAlgebra.Dimension.FreeAndStrongRankCondition
public import Mathlib.LinearAlgebra.FiniteDimensional.Basic
public import Mathlib.Tactic.IntervalCases

Namespace:
LinearMap

Local safe context:
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
/-!
# Finite-dimensional vector spaces

This file contains some further development of finite-dimensional vector spaces, their dimensions,
and linear maps on such spaces.

Definitions are in `Mathlib/LinearAlgebra/FiniteDimensional/Defs.lean`
and results that require fewer imports are in `Mathlib/LinearAlgebra/FiniteDimensional/Basic.lean`.
-/

@[expose] public section

assert_not_exists Monoid.exponent Module.IsTorsion

universe u v v'

open Cardinal Submodule Module Function

variable {K : Type u} {V : Type v}

namespace Submodule

open IsNoetherian Module

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V]

/-- The dimension of a strict submodule is strictly bounded by the dimension of the ambient
space.

See also `Submodule.length_lt`. -/
theorem finrank_lt [FiniteDimensional K V] {s : Submodule K V} (h : s ≠ ⊤) :
    finrank K s < finrank K V := by
  rw [← s.finrank_quotient_add_finrank, add_comm]
  rw [← Quotient.nontrivial_iff] at h
  exact Nat.lt_add_of_pos_right finrank_pos

/-- The sum of the dimensions of s + t and s ∩ t is the sum of the dimensions of s and t -/
theorem finrank_sup_add_finrank_inf_eq (s t : Submodule K V) [FiniteDimensional K s]
    [FiniteDimensional K t] :
    finrank K ↑(s ⊔ t) + finrank K ↑(s ⊓ t) = finrank K ↑s + finrank K ↑t := by
  have key : Module.rank K ↑(s ⊔ t) + Module.rank K ↑(s ⊓ t) = Module.rank K s + Module.rank K t :=
    rank_sup_add_rank_inf_eq s t
  repeat rw [← finrank_eq_rank] at key
  norm_cast at key

theorem finrank_add_le_finrank_add_finrank (s t : Submodule K V) [FiniteDimensional K s]
    [FiniteDimensional K t] : finrank K (s ⊔ t : Submodule K V) ≤ finrank K s + finrank K t := by
  rw [← finrank_sup_add_finrank_inf_eq]
  exact self_le_add_right _ _

theorem finrank_add_finrank_le_of_disjoint [FiniteDimensional K V]
    {s t : Submodule K V} (hdisjoint : Disjoint s t) :
    finrank K s + finrank K t ≤ finrank K V := by
  rw [← Submodule.finrank_sup_add_finrank_inf_eq s t, hdisjoint.eq_bot, finrank_bot, add_zero]
  exact Submodule.finrank_le _

theorem eq_top_of_disjoint [FiniteDimensional K V] (s t : Submodule K V)
    (hdim : finrank K V ≤ finrank K s + finrank K t) (hdisjoint : Disjoint s t) : s ⊔ t = ⊤ := by
  have h_finrank_inf : finrank K ↑(s ⊓ t) = 0 := by
    rw [disjoint_iff_inf_le, le_bot_iff] at hdisjoint
    rw [hdisjoint, finrank_bot]
  apply eq_top_of_finrank_eq
  replace hdim : finrank K V = finrank K s + finrank K t :=
    le_antisymm hdim (finrank_add_finrank_le_of_disjoint hdisjoint)
  rw [hdim]
  convert! s.finrank_sup_add_finrank_inf_eq t
  rw [h_finrank_inf, add_zero]

theorem isCompl_iff_disjoint [FiniteDimensional K V] (s t : Submodule K V)
    (hdim : finrank K V ≤ finrank K s + finrank K t) :
    IsCompl s t ↔ Disjoint s t :=
  ⟨fun h ↦ h.1, fun h ↦ ⟨h, codisjoint_iff.mpr <| eq_top_of_disjoint s t hdim h⟩⟩

theorem sup_span_singleton_eq_top_iff [Module.Finite K V] {W : Submodule K V} {v : V} (hv : v ∉ W) :
    W ⊔ span K {v} = ⊤ ↔ finrank K (V ⧸ W) = 1 := by
  refine ⟨fun hW ↦ ?_, fun hW ↦ ?_⟩
  · suffices W ⊓ span K {v} = ⊥ by
      have hv₀ : v ≠ 0 := by aesop
      have aux := finrank_sup_add_finrank_inf_eq W (span K {v})
      rw [hW, finrank_span_singleton hv₀, this, finrank_bot, finrank_top,
        ← finrank_quotient_add_finrank W] at aux
      lia
    refine (Submodule.eq_bot_iff _).mpr fun w hw ↦ ?_
    obtain ⟨ht, t, rfl⟩ : w ∈ W ∧ ∃ t : K, t • v = w := by simpa [mem_span_singleton] using hw
    rcases eq_or_ne t 0 with rfl | ht₀; · simp
    rw [Submodule.smul_mem_iff _ ht₀] at ht
    contradiction
  · apply Submodule.eq_top_of_disjoint
    · rw [← W.finrank_quotient_add_finrank, add_comm, add_le_add_iff_left, hW]
      aesop
    · exact Submodule.disjoint_span_singleton_of_notMem hv

theorem finrank_sup_span_singleton [Module.Finite K V] {p : Submodule K V} {v : V} (hv : v ∉ p) :
    finrank K (p ⊔ Submodule.span K {v} : Submodule K V) = finrank K p + 1 := by
  rw [← Nat.add_left_inj, finrank_sup_add_finrank_inf_eq, add_assoc,
    Nat.add_left_cancel_iff, finrank_span_singleton (by aesop),
    Nat.left_eq_add, Submodule.finrank_eq_zero, eq_bot_iff]
  intro x
  simp only [mem_inf, mem_span_singleton]
  rintro ⟨hx, ⟨a, hx'⟩⟩
  rw [← hx'] at hx
  suffices a = 0 by simp [← hx', this]
  contrapose hv
  simpa [smul_mem_iff p hv] using hx

theorem eq_top_iff_finrank_eq [Module.Finite K V] {W : Submodule K V} :
    W = ⊤ ↔ finrank K W = finrank K V := by
  refine ⟨fun h ↦ by rw [h, finrank_top], fun h ↦ ?_⟩
  apply eq_of_le_of_finrank_eq le_top
  rw [finrank_top, h]

end DivisionRing

end Submodule

namespace FiniteDimensional

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

variable [FiniteDimensional K V] [FiniteDimensional K V₂]

/-- Given isomorphic subspaces `p q` of vector spaces `V` and `V₁` respectively,
  `p.quotient` is isomorphic to `q.quotient`. -/
noncomputable def LinearEquiv.quotEquivOfEquiv {p : Subspace K V} {q : Subspace K V₂}
    (f₁ : p ≃ₗ[K] q) (f₂ : V ≃ₗ[K] V₂) : (V ⧸ p) ≃ₗ[K] V₂ ⧸ q :=
  LinearEquiv.ofFinrankEq _ _
    (by
      rw [← @add_right_cancel_iff _ _ _ (finrank K p), Submodule.finrank_quotient_add_finrank,
        LinearEquiv.finrank_eq f₁, Submodule.finrank_quotient_add_finrank,
        LinearEquiv.finrank_eq f₂])

-- TODO: generalize to the case where one of `p` and `q` is finite-dimensional.
/-- Given the subspaces `p q`, if `p.quotient ≃ₗ[K] q`, then `q.quotient ≃ₗ[K] p` -/
noncomputable def LinearEquiv.quotEquivOfQuotEquiv {p q : Subspace K V} (f : (V ⧸ p) ≃ₗ[K] q) :
    (V ⧸ q) ≃ₗ[K] p :=
  LinearEquiv.ofFinrankEq _ _ <| by
    rw [← add_right_cancel_iff, Submodule.finrank_quotient_add_finrank, ← LinearEquiv.finrank_eq f,
      add_comm, Submodule.finrank_quotient_add_finrank]

end DivisionRing

end FiniteDimensional

namespace LinearMap

open Module

section DivisionRing

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

/-- rank-nullity theorem : the dimensions of the kernel and the range of a linear map add up to
the dimension of the source space. -/
theorem finrank_range_add_finrank_ker [FiniteDimensional K V] (f : V →ₗ[K] V₂) :
    finrank K (LinearMap.range f) + finrank K (LinearMap.ker f) = finrank K V := by
  rw [← f.quotKerEquivRange.finrank_eq]
  exact Submodule.finrank_quotient_add_finrank _

lemma ker_ne_bot_of_finrank_lt [FiniteDimensional K V] [FiniteDimensional K V₂] {f : V →ₗ[K] V₂}
    (h : finrank K V₂ < finrank K V) :
    LinearMap.ker f ≠ ⊥ := by
  have h₁ := f.finrank_range_add_finrank_ker
  have h₂ : finrank K (LinearMap.range f) ≤ finrank K V₂ := (LinearMap.range f).finrank_le
  suffices 0 < finrank K (LinearMap.ker f) from Submodule.one_le_finrank_iff.mp this
  lia

end DivisionRing

end LinearMap

open Module

namespace LinearMap

variable [DivisionRing K] [AddCommGroup V] [Module K V] {V₂ : Type v'} [AddCommGroup V₂]
  [Module K V₂]

theorem injective_iff_surjective_of_finrank_eq_finrank [FiniteDimensional K V]
    [FiniteDimensional K V₂] (H : finrank K V = finrank K V₂) {f : V →ₗ[K] V₂} :
    Function.Injective f ↔ Function.Surjective f := by
  have := finrank_range_add_finrank_ker f
  rw [← ker_eq_bot, ← range_eq_top]; refine ⟨fun h => ?_, fun h => ?_⟩
  · rw [h, finrank_bot, add_zero, H] at this
    exact eq_top_of_finrank_eq this
  · rw [h, finrank_top, H] at this
    exact Submodule.finrank_eq_zero.1 (add_right_injective _ this)

Target:
theorem ker_eq_bot_iff_range_eq_top_of_finrank_eq_finrank [FiniteDimensional K V]
    [FiniteDimensional K V₂] (H : finrank K V = finrank K V₂) {f : V →ₗ[K] V₂} :
    LinearMap.ker f = ⊥ ↔ LinearMap.range f = ⊤ :=

Failed candidate:
by
  have __repair_plan_e1a9a5b7fb : False := by
    skip
  rw [range_eq_top, ker_eq_bot, injective_iff_surjective_of_finrank_eq_finrank H]

/-- Given a linear map `f` between two vector spaces with the same dimension, if
`ker f = ⊥` then `linearEquivOfInjective` is the induced isomorphism
between the two vector spaces. -/
noncomputable def linearEquivOfInjective [FiniteDimensional K V] [FiniteDimensional K V₂]
    (f : V →ₗ[K] V₂) (hf : Injective f) (hdim : finrank K V = finrank K V₂) : V ≃ₗ[K] V₂ :=
  LinearEquiv.ofBijective f
    ⟨hf, (LinearMap.injective_iff_surjective_of_finrank_eq_finrank hdim).mp hf⟩

Structured Lean error:
{"kind": "unsolved_goals_multistep_planning", "message": "<LEAN_FILE>:211:43: error: unsolved goals\nK : Type u\nV : Type v\ninst✝⁶ : DivisionRing K\ninst✝⁵ : AddCommGroup V\ninst✝⁴ : Module K V\nV₂ : Type v'\ninst✝³ : AddCommGroup V₂\ninst✝² : Module K V₂\ninst✝¹ : FiniteDimensional K V\ninst✝ : FiniteDimensional K V₂\nH : finrank K V = finrank K V₂\nf : V →ₗ[K] V₂\n⊢ False", "returncode": 1}

Corrected proof:


<LEAN_FILE>:64:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_e2cee37fa3`
<LEAN_FILE>:39:0: error: unsolved goals
⊢ IsClosedEmbedding ⇑natUnionInftyEmbedding

Response:
by
  refine .of_continuous_injective_isClosedMap
    natUnionInftyEmbedding.continuous ?_ ?_
  · rintro (_ | n) (_ | m) h
    · rfl
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, zero_eq_inv] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_eq_zero] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_inj, add_left_inj,
        Nat.cast_inj] at h
      rw [h]
  · exact fun _ hC => (hC.isCompact.image natUnionInftyEmbedding.continuous).isClosed

[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.Compactification.OnePoint.Basic
public import Mathlib.Topology.Category.LightProfinite.Basic

Namespace:
LightProfinite

Local safe context:
/-
Copyright (c) 2024 Dagur Asgeirsson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Dagur Asgeirsson
-/
/-!

# The light profinite set classifying convergent sequences

This file defines the light profinite set `ℕ∪{∞}`, defined as the one point compactification of
`ℕ`.
-/

@[expose] public section

open CategoryTheory OnePoint TopologicalSpace Topology

namespace LightProfinite

/-- The continuous map from `ℕ∪{∞}` to `ℝ` sending `n` to `1/(n+1)` and `∞` to `0`. -/
noncomputable def natUnionInftyEmbedding : C(OnePoint ℕ, ℝ) where
  toFun
    | ∞ => 0
    | OnePoint.some n => 1 / (n + 1 : ℝ)
  continuous_toFun := OnePoint.continuous_iff_from_nat _ |>.mpr
    tendsto_one_div_add_atTop_nhds_zero_nat

/--
The continuous map from `ℕ∪{∞}` to `ℝ` sending `n` to `1/(n+1)` and `∞` to `0` is a closed
embedding.
-/

Target:
lemma isClosedEmbedding_natUnionInftyEmbedding : IsClosedEmbedding natUnionInftyEmbedding :=

Failed candidate:
by
  have __repair_pad_0_e2cee37fa3 : True := by trivial
  have __repair_pad_1_e2cee37fa3 : True := by trivial
  have __repair_pad_2_e2cee37fa3 : True := by trivial
  have __repair_pad_3_e2cee37fa3 : True := by trivial
  have __repair_pad_4_e2cee37fa3 : True := by trivial
  have __repair_pad_5_e2cee37fa3 : True := by trivial
  have __repair_pad_6_e2cee37fa3 : True := by trivial
  have __repair_pad_7_e2cee37fa3 : True := by trivial
  have __repair_pad_8_e2cee37fa3 : True := by trivial
  have __repair_pad_9_e2cee37fa3 : True := by trivial
  have __repair_pad_10_e2cee37fa3 : True := by trivial
  have __repair_pad_11_e2cee37fa3 : True := by trivial
  have __repair_pad_12_e2cee37fa3 : True := by trivial
  have __repair_pad_13_e2cee37fa3 : True := by trivial
  have __repair_pad_14_e2cee37fa3 : True := by trivial
  have __repair_pad_15_e2cee37fa3 : True := by trivial
  have __repair_pad_16_e2cee37fa3 : True := by trivial
  have __repair_pad_17_e2cee37fa3 : True := by trivial
  have __repair_pad_18_e2cee37fa3 : True := by trivial
  have __repair_pad_19_e2cee37fa3 : True := by trivial
  have __repair_pad_20_e2cee37fa3 : True := by trivial
  have __repair_pad_21_e2cee37fa3 : True := by trivial
  have __repair_pad_22_e2cee37fa3 : True := by trivial
  have __repair_pad_23_e2cee37fa3 : True := by trivial
  have __repair_fail_e2cee37fa3 := __oprover_overlong_e2cee37fa3
  refine .of_continuous_injective_isClosedMap
    natUnionInftyEmbedding.continuous ?_ ?_
  · rintro (_ | n) (_ | m) h
    · rfl
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, zero_eq_inv] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_eq_zero] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_inj, add_left_inj,
        Nat.cast_inj] at h
      rw [h]
  · exact fun _ hC => (hC.isCompact.image natUnionInftyEmbedding.continuous).isClosed

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:64:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_e2cee37fa3`\n<LEAN_FILE>:39:0: error: unsolved goals\n⊢ IsClosedEmbedding ⇑natUnionInftyEmbedding", "returncode": 1}

Corrected proof:

[Assistant]
by
  refine .of_continuous_injective_isClosedMap
    natUnionInftyEmbedding.continuous ?_ ?_
  · rintro (_ | n) (_ | m) h
    · rfl
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, zero_eq_inv] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_eq_zero] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_inj, add_left_inj,
        Nat.cast_inj] at h
      rw [h]
  · exact fun _ hC => (hC.isCompact.image natUnionInftyEmbedding.continuous).isClosed

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.Compactification.OnePoint.Basic
public import Mathlib.Topology.Category.LightProfinite.Basic

Namespace:
LightProfinite

Local safe context:
/-
Copyright (c) 2024 Dagur Asgeirsson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Dagur Asgeirsson
-/
/-!

# The light profinite set classifying convergent sequences

This file defines the light profinite set `ℕ∪{∞}`, defined as the one point compactification of
`ℕ`.
-/

@[expose] public section

open CategoryTheory OnePoint TopologicalSpace Topology

namespace LightProfinite

/-- The continuous map from `ℕ∪{∞}` to `ℝ` sending `n` to `1/(n+1)` and `∞` to `0`. -/
noncomputable def natUnionInftyEmbedding : C(OnePoint ℕ, ℝ) where
  toFun
    | ∞ => 0
    | OnePoint.some n => 1 / (n + 1 : ℝ)
  continuous_toFun := OnePoint.continuous_iff_from_nat _ |>.mpr
    tendsto_one_div_add_atTop_nhds_zero_nat

/--
The continuous map from `ℕ∪{∞}` to `ℝ` sending `n` to `1/(n+1)` and `∞` to `0` is a closed
embedding.
-/

Target:
lemma isClosedEmbedding_natUnionInftyEmbedding : IsClosedEmbedding natUnionInftyEmbedding :=

Failed candidate:
by
  have __repair_pad_0_e2cee37fa3 : True := by trivial
  have __repair_pad_1_e2cee37fa3 : True := by trivial
  have __repair_pad_2_e2cee37fa3 : True := by trivial
  have __repair_pad_3_e2cee37fa3 : True := by trivial
  have __repair_pad_4_e2cee37fa3 : True := by trivial
  have __repair_pad_5_e2cee37fa3 : True := by trivial
  have __repair_pad_6_e2cee37fa3 : True := by trivial
  have __repair_pad_7_e2cee37fa3 : True := by trivial
  have __repair_pad_8_e2cee37fa3 : True := by trivial
  have __repair_pad_9_e2cee37fa3 : True := by trivial
  have __repair_pad_10_e2cee37fa3 : True := by trivial
  have __repair_pad_11_e2cee37fa3 : True := by trivial
  have __repair_pad_12_e2cee37fa3 : True := by trivial
  have __repair_pad_13_e2cee37fa3 : True := by trivial
  have __repair_pad_14_e2cee37fa3 : True := by trivial
  have __repair_pad_15_e2cee37fa3 : True := by trivial
  have __repair_pad_16_e2cee37fa3 : True := by trivial
  have __repair_pad_17_e2cee37fa3 : True := by trivial
  have __repair_pad_18_e2cee37fa3 : True := by trivial
  have __repair_pad_19_e2cee37fa3 : True := by trivial
  have __repair_pad_20_e2cee37fa3 : True := by trivial
  have __repair_pad_21_e2cee37fa3 : True := by trivial
  have __repair_pad_22_e2cee37fa3 : True := by trivial
  have __repair_pad_23_e2cee37fa3 : True := by trivial
  have __repair_fail_e2cee37fa3 := __oprover_overlong_e2cee37fa3
  refine .of_continuous_injective_isClosedMap
    natUnionInftyEmbedding.continuous ?_ ?_
  · rintro (_ | n) (_ | m) h
    · rfl
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, zero_eq_inv] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_eq_zero] at h
      assumption_mod_cast
    · simp only [natUnionInftyEmbedding, one_div, ContinuousMap.coe_mk, inv_inj, add_left_inj,
        Nat.cast_inj] at h
      rw [h]
  · exact fun _ hC => (hC.isCompact.image natUnionInftyEmbedding.continuous).isClosed

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:64:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_e2cee37fa3`\n<LEAN_FILE>:39:0: error: unsolved goals\n⊢ IsClosedEmbedding ⇑natUnionInftyEmbedding", "returncode": 1}

Corrected proof:


<LEAN_FILE>:135:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_ccb19e2bf6`
<LEAN_FILE>:110:0: error: unsolved goals
R : Type u_1
S : Type u_2
inst✝² : CommRing R
inst✝¹ : CommRing S
inst✝ : Algebra R S
P : R[X]
x : S
h : IsNilpotent ((aeval x) P)
h' : IsUnit ((aeval x) (derivative P))
⊢ ∃! r, IsNilpotent (x - r) ∧ (aeval r) P = 0

Response:
by
  simp_rw [(neg_sub _ x).symm, isNilpotent_neg_iff]
  refine existsUnique_of_exists_of_unique ?_ fun r₁ r₂ ⟨hr₁, hr₁'⟩ ⟨hr₂, hr₂'⟩ ↦ ?_
  · -- Existence
    obtain ⟨n, hn⟩ := id h
    refine ⟨P.newtonMap^[n] x, isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n, ?_⟩
    rw [← zero_dvd_iff, ← pow_eq_zero_of_le (n.lt_two_pow_self).le hn]
    exact aeval_pow_two_pow_dvd_aeval_iterate_newtonMap h h' n
  · -- Uniqueness
    have ⟨u, hu⟩ := binomExpansion (P.map (algebraMap R S)) r₁ (r₂ - r₁)
    suffices IsUnit (aeval r₁ (derivative P) + u * (r₂ - r₁)) by
      rwa [derivative_map, eval_map_algebraMap, eval_map_algebraMap, eval_map_algebraMap,
        add_sub_cancel, hr₂', hr₁', zero_add, pow_two, ← mul_assoc, ← add_mul, eq_comm,
        this.mul_right_eq_zero, sub_eq_zero, eq_comm] at hu
    have : IsUnit (aeval r₁ (derivative P)) :=
      isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' hr₁
    rw [← sub_sub_sub_cancel_right r₂ r₁ x]
    refine IsNilpotent.isUnit_add_left_of_commute ?_ this (Commute.all _ _)
    exact (Commute.all _ _).isNilpotent_mul_left <| (Commute.all _ _).isNilpotent_sub hr₂ hr₁

[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.RingTheory.Polynomial.Nilpotent

Namespace:
Polynomial

Local safe context:
/-
Copyright (c) 2024 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir, Oliver Nash
-/
/-!
# Newton-Raphson method

Given a single-variable polynomial `P` with derivative `P'`, Newton's method concerns iteration of
the rational map: `x ↦ x - P(x) / P'(x)`.

Over a field, it can serve as a root-finding algorithm. It is also useful in proving results such
as Hensel's lemma and the Jordan-Chevalley decomposition.

## Main definitions / results:

* `Polynomial.newtonMap`: the map `x ↦ x - P(x) / P'(x)`, where `P'` is the derivative of the
  polynomial `P`.
* `Polynomial.isFixedPt_newtonMap_of_isUnit_iff`: `x` is a fixed point for Newton iteration iff
  it is a root of `P` (provided `P'(x)` is a unit).
* `Polynomial.existsUnique_nilpotent_sub_and_aeval_eq_zero`: if `x` is almost a root of `P` in the
  sense that `P(x)` is nilpotent (and `P'(x)` is a unit) then we may write `x` as a sum
  `x = n + r` where `n` is nilpotent and `r` is a root of `P`. This can be used to prove the
  Jordan-Chevalley decomposition of linear endomorphisms.

-/

@[expose] public section

open Set Function

noncomputable section

namespace Polynomial

variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (P : R[X]) {x : S}

/-- Given a single-variable polynomial `P` with derivative `P'`, this is the map:
`x ↦ x - P(x) / P'(x)`. When `P'(x)` is not a unit we use a junk-value pattern and send `x ↦ x`. -/
def newtonMap (x : S) : S :=
  x - (Ring.inverse <| aeval x (derivative P)) * aeval x P

theorem newtonMap_apply :
    P.newtonMap x = x - (Ring.inverse <| aeval x (derivative P)) * (aeval x P) :=
  rfl

variable {P}

theorem newtonMap_apply_of_isUnit (h : IsUnit <| aeval x (derivative P)) :
    P.newtonMap x = x - h.unit⁻¹ * aeval x P := by
  simp [newtonMap_apply, Ring.inverse, h]

theorem newtonMap_apply_of_not_isUnit (h : ¬ (IsUnit <| aeval x (derivative P))) :
    P.newtonMap x = x := by
  simp [newtonMap_apply, Ring.inverse, h]

theorem isNilpotent_iterate_newtonMap_sub_of_isNilpotent (h : IsNilpotent <| aeval x P) (n : ℕ) :
    IsNilpotent <| P.newtonMap^[n] x - x := by
  induction n with
  | zero => simp
  | succ n ih =>
    rw [iterate_succ', comp_apply, newtonMap_apply, sub_right_comm]
    refine (Commute.all _ _).isNilpotent_sub ih <| (Commute.all _ _).isNilpotent_mul_left ?_
    simpa using Commute.isNilpotent_add (Commute.all _ _)
      (isNilpotent_aeval_sub_of_isNilpotent_sub P ih) h

theorem isFixedPt_newtonMap_of_aeval_eq_zero (h : aeval x P = 0) :
    IsFixedPt P.newtonMap x := by
  rw [IsFixedPt, newtonMap_apply, h, mul_zero, sub_zero]

theorem isFixedPt_newtonMap_of_isUnit_iff (h : IsUnit <| aeval x (derivative P)) :
    IsFixedPt P.newtonMap x ↔ aeval x P = 0 := by
  rw [IsFixedPt, newtonMap_apply, sub_eq_self, Ring.inverse_mul_eq_iff_eq_mul _ _ _ h, mul_zero]

/-- This is really an auxiliary result, en route to
`Polynomial.existsUnique_nilpotent_sub_and_aeval_eq_zero`. -/
theorem aeval_pow_two_pow_dvd_aeval_iterate_newtonMap
    (h : IsNilpotent (aeval x P)) (h' : IsUnit (aeval x <| derivative P)) (n : ℕ) :
    (aeval x P) ^ (2 ^ n) ∣ aeval (P.newtonMap^[n] x) P := by
  induction n with
  | zero => simp
  | succ n ih =>
    have ⟨d, hd⟩ := binomExpansion (P.map (algebraMap R S)) (P.newtonMap^[n] x)
      (-Ring.inverse (aeval (P.newtonMap^[n] x) <| derivative P) * aeval (P.newtonMap^[n] x) P)
    rw [eval_map_algebraMap, eval_map_algebraMap] at hd
    rw [iterate_succ', comp_apply, newtonMap_apply, sub_eq_add_neg, neg_mul_eq_neg_mul, hd]
    refine dvd_add ?_ (dvd_mul_of_dvd_right ?_ _)
    · convert! dvd_zero _
      have : IsUnit (aeval (P.newtonMap^[n] x) <| derivative P) :=
        isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' <|
        isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n
      rw [derivative_map, eval_map_algebraMap, ← mul_assoc, mul_neg, Ring.mul_inverse_cancel _ this,
        neg_mul, one_mul, add_neg_cancel]
    · rw [neg_mul, even_two.neg_pow, mul_pow, pow_succ, pow_mul]
      exact dvd_mul_of_dvd_right (pow_dvd_pow_of_dvd ih 2) _

/-- If `x` is almost a root of `P` in the sense that `P(x)` is nilpotent (and `P'(x)` is a
unit) then we may write `x` as a sum `x = n + r` where `n` is nilpotent and `r` is a root of `P`.
Moreover, `n` and `r` are unique.

This can be used to prove the Jordan-Chevalley decomposition of linear endomorphisms. -/

Target:
theorem existsUnique_nilpotent_sub_and_aeval_eq_zero
    (h : IsNilpotent (aeval x P)) (h' : IsUnit (aeval x <| derivative P)) :
    ∃! r, IsNilpotent (x - r) ∧ aeval r P = 0 :=

Failed candidate:
by
  have __repair_pad_0_ccb19e2bf6 : True := by trivial
  have __repair_pad_1_ccb19e2bf6 : True := by trivial
  have __repair_pad_2_ccb19e2bf6 : True := by trivial
  have __repair_pad_3_ccb19e2bf6 : True := by trivial
  have __repair_pad_4_ccb19e2bf6 : True := by trivial
  have __repair_pad_5_ccb19e2bf6 : True := by trivial
  have __repair_pad_6_ccb19e2bf6 : True := by trivial
  have __repair_pad_7_ccb19e2bf6 : True := by trivial
  have __repair_pad_8_ccb19e2bf6 : True := by trivial
  have __repair_pad_9_ccb19e2bf6 : True := by trivial
  have __repair_pad_10_ccb19e2bf6 : True := by trivial
  have __repair_pad_11_ccb19e2bf6 : True := by trivial
  have __repair_pad_12_ccb19e2bf6 : True := by trivial
  have __repair_pad_13_ccb19e2bf6 : True := by trivial
  have __repair_pad_14_ccb19e2bf6 : True := by trivial
  have __repair_pad_15_ccb19e2bf6 : True := by trivial
  have __repair_pad_16_ccb19e2bf6 : True := by trivial
  have __repair_pad_17_ccb19e2bf6 : True := by trivial
  have __repair_pad_18_ccb19e2bf6 : True := by trivial
  have __repair_pad_19_ccb19e2bf6 : True := by trivial
  have __repair_pad_20_ccb19e2bf6 : True := by trivial
  have __repair_pad_21_ccb19e2bf6 : True := by trivial
  have __repair_pad_22_ccb19e2bf6 : True := by trivial
  have __repair_pad_23_ccb19e2bf6 : True := by trivial
  have __repair_fail_ccb19e2bf6 := __oprover_overlong_ccb19e2bf6
  simp_rw [(neg_sub _ x).symm, isNilpotent_neg_iff]
  refine existsUnique_of_exists_of_unique ?_ fun r₁ r₂ ⟨hr₁, hr₁'⟩ ⟨hr₂, hr₂'⟩ ↦ ?_
  · -- Existence
    obtain ⟨n, hn⟩ := id h
    refine ⟨P.newtonMap^[n] x, isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n, ?_⟩
    rw [← zero_dvd_iff, ← pow_eq_zero_of_le (n.lt_two_pow_self).le hn]
    exact aeval_pow_two_pow_dvd_aeval_iterate_newtonMap h h' n
  · -- Uniqueness
    have ⟨u, hu⟩ := binomExpansion (P.map (algebraMap R S)) r₁ (r₂ - r₁)
    suffices IsUnit (aeval r₁ (derivative P) + u * (r₂ - r₁)) by
      rwa [derivative_map, eval_map_algebraMap, eval_map_algebraMap, eval_map_algebraMap,
        add_sub_cancel, hr₂', hr₁', zero_add, pow_two, ← mul_assoc, ← add_mul, eq_comm,
        this.mul_right_eq_zero, sub_eq_zero, eq_comm] at hu
    have : IsUnit (aeval r₁ (derivative P)) :=
      isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' hr₁
    rw [← sub_sub_sub_cancel_right r₂ r₁ x]
    refine IsNilpotent.isUnit_add_left_of_commute ?_ this (Commute.all _ _)
    exact (Commute.all _ _).isNilpotent_mul_left <| (Commute.all _ _).isNilpotent_sub hr₂ hr₁

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:135:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_ccb19e2bf6`\n<LEAN_FILE>:110:0: error: unsolved goals\nR : Type u_1\nS : Type u_2\ninst✝² : CommRing R\ninst✝¹ : CommRing S\ninst✝ : Algebra R S\nP : R[X]\nx : S\nh : IsNilpotent ((aeval x) P)\nh' : IsUnit ((aeval x) (derivative P))\n⊢ ∃! r, IsNilpotent (x - r) ∧ (aeval r) P = 0", "returncode": 1}

Corrected proof:

[Assistant]
by
  simp_rw [(neg_sub _ x).symm, isNilpotent_neg_iff]
  refine existsUnique_of_exists_of_unique ?_ fun r₁ r₂ ⟨hr₁, hr₁'⟩ ⟨hr₂, hr₂'⟩ ↦ ?_
  · -- Existence
    obtain ⟨n, hn⟩ := id h
    refine ⟨P.newtonMap^[n] x, isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n, ?_⟩
    rw [← zero_dvd_iff, ← pow_eq_zero_of_le (n.lt_two_pow_self).le hn]
    exact aeval_pow_two_pow_dvd_aeval_iterate_newtonMap h h' n
  · -- Uniqueness
    have ⟨u, hu⟩ := binomExpansion (P.map (algebraMap R S)) r₁ (r₂ - r₁)
    suffices IsUnit (aeval r₁ (derivative P) + u * (r₂ - r₁)) by
      rwa [derivative_map, eval_map_algebraMap, eval_map_algebraMap, eval_map_algebraMap,
        add_sub_cancel, hr₂', hr₁', zero_add, pow_two, ← mul_assoc, ← add_mul, eq_comm,
        this.mul_right_eq_zero, sub_eq_zero, eq_comm] at hu
    have : IsUnit (aeval r₁ (derivative P)) :=
      isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' hr₁
    rw [← sub_sub_sub_cancel_right r₂ r₁ x]
    refine IsNilpotent.isUnit_add_left_of_commute ?_ this (Commute.all _ _)
    exact (Commute.all _ _).isNilpotent_mul_left <| (Commute.all _ _).isNilpotent_sub hr₂ hr₁

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.RingTheory.Polynomial.Nilpotent

Namespace:
Polynomial

Local safe context:
/-
Copyright (c) 2024 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir, Oliver Nash
-/
/-!
# Newton-Raphson method

Given a single-variable polynomial `P` with derivative `P'`, Newton's method concerns iteration of
the rational map: `x ↦ x - P(x) / P'(x)`.

Over a field, it can serve as a root-finding algorithm. It is also useful in proving results such
as Hensel's lemma and the Jordan-Chevalley decomposition.

## Main definitions / results:

* `Polynomial.newtonMap`: the map `x ↦ x - P(x) / P'(x)`, where `P'` is the derivative of the
  polynomial `P`.
* `Polynomial.isFixedPt_newtonMap_of_isUnit_iff`: `x` is a fixed point for Newton iteration iff
  it is a root of `P` (provided `P'(x)` is a unit).
* `Polynomial.existsUnique_nilpotent_sub_and_aeval_eq_zero`: if `x` is almost a root of `P` in the
  sense that `P(x)` is nilpotent (and `P'(x)` is a unit) then we may write `x` as a sum
  `x = n + r` where `n` is nilpotent and `r` is a root of `P`. This can be used to prove the
  Jordan-Chevalley decomposition of linear endomorphisms.

-/

@[expose] public section

open Set Function

noncomputable section

namespace Polynomial

variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (P : R[X]) {x : S}

/-- Given a single-variable polynomial `P` with derivative `P'`, this is the map:
`x ↦ x - P(x) / P'(x)`. When `P'(x)` is not a unit we use a junk-value pattern and send `x ↦ x`. -/
def newtonMap (x : S) : S :=
  x - (Ring.inverse <| aeval x (derivative P)) * aeval x P

theorem newtonMap_apply :
    P.newtonMap x = x - (Ring.inverse <| aeval x (derivative P)) * (aeval x P) :=
  rfl

variable {P}

theorem newtonMap_apply_of_isUnit (h : IsUnit <| aeval x (derivative P)) :
    P.newtonMap x = x - h.unit⁻¹ * aeval x P := by
  simp [newtonMap_apply, Ring.inverse, h]

theorem newtonMap_apply_of_not_isUnit (h : ¬ (IsUnit <| aeval x (derivative P))) :
    P.newtonMap x = x := by
  simp [newtonMap_apply, Ring.inverse, h]

theorem isNilpotent_iterate_newtonMap_sub_of_isNilpotent (h : IsNilpotent <| aeval x P) (n : ℕ) :
    IsNilpotent <| P.newtonMap^[n] x - x := by
  induction n with
  | zero => simp
  | succ n ih =>
    rw [iterate_succ', comp_apply, newtonMap_apply, sub_right_comm]
    refine (Commute.all _ _).isNilpotent_sub ih <| (Commute.all _ _).isNilpotent_mul_left ?_
    simpa using Commute.isNilpotent_add (Commute.all _ _)
      (isNilpotent_aeval_sub_of_isNilpotent_sub P ih) h

theorem isFixedPt_newtonMap_of_aeval_eq_zero (h : aeval x P = 0) :
    IsFixedPt P.newtonMap x := by
  rw [IsFixedPt, newtonMap_apply, h, mul_zero, sub_zero]

theorem isFixedPt_newtonMap_of_isUnit_iff (h : IsUnit <| aeval x (derivative P)) :
    IsFixedPt P.newtonMap x ↔ aeval x P = 0 := by
  rw [IsFixedPt, newtonMap_apply, sub_eq_self, Ring.inverse_mul_eq_iff_eq_mul _ _ _ h, mul_zero]

/-- This is really an auxiliary result, en route to
`Polynomial.existsUnique_nilpotent_sub_and_aeval_eq_zero`. -/
theorem aeval_pow_two_pow_dvd_aeval_iterate_newtonMap
    (h : IsNilpotent (aeval x P)) (h' : IsUnit (aeval x <| derivative P)) (n : ℕ) :
    (aeval x P) ^ (2 ^ n) ∣ aeval (P.newtonMap^[n] x) P := by
  induction n with
  | zero => simp
  | succ n ih =>
    have ⟨d, hd⟩ := binomExpansion (P.map (algebraMap R S)) (P.newtonMap^[n] x)
      (-Ring.inverse (aeval (P.newtonMap^[n] x) <| derivative P) * aeval (P.newtonMap^[n] x) P)
    rw [eval_map_algebraMap, eval_map_algebraMap] at hd
    rw [iterate_succ', comp_apply, newtonMap_apply, sub_eq_add_neg, neg_mul_eq_neg_mul, hd]
    refine dvd_add ?_ (dvd_mul_of_dvd_right ?_ _)
    · convert! dvd_zero _
      have : IsUnit (aeval (P.newtonMap^[n] x) <| derivative P) :=
        isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' <|
        isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n
      rw [derivative_map, eval_map_algebraMap, ← mul_assoc, mul_neg, Ring.mul_inverse_cancel _ this,
        neg_mul, one_mul, add_neg_cancel]
    · rw [neg_mul, even_two.neg_pow, mul_pow, pow_succ, pow_mul]
      exact dvd_mul_of_dvd_right (pow_dvd_pow_of_dvd ih 2) _

/-- If `x` is almost a root of `P` in the sense that `P(x)` is nilpotent (and `P'(x)` is a
unit) then we may write `x` as a sum `x = n + r` where `n` is nilpotent and `r` is a root of `P`.
Moreover, `n` and `r` are unique.

This can be used to prove the Jordan-Chevalley decomposition of linear endomorphisms. -/

Target:
theorem existsUnique_nilpotent_sub_and_aeval_eq_zero
    (h : IsNilpotent (aeval x P)) (h' : IsUnit (aeval x <| derivative P)) :
    ∃! r, IsNilpotent (x - r) ∧ aeval r P = 0 :=

Failed candidate:
by
  have __repair_pad_0_ccb19e2bf6 : True := by trivial
  have __repair_pad_1_ccb19e2bf6 : True := by trivial
  have __repair_pad_2_ccb19e2bf6 : True := by trivial
  have __repair_pad_3_ccb19e2bf6 : True := by trivial
  have __repair_pad_4_ccb19e2bf6 : True := by trivial
  have __repair_pad_5_ccb19e2bf6 : True := by trivial
  have __repair_pad_6_ccb19e2bf6 : True := by trivial
  have __repair_pad_7_ccb19e2bf6 : True := by trivial
  have __repair_pad_8_ccb19e2bf6 : True := by trivial
  have __repair_pad_9_ccb19e2bf6 : True := by trivial
  have __repair_pad_10_ccb19e2bf6 : True := by trivial
  have __repair_pad_11_ccb19e2bf6 : True := by trivial
  have __repair_pad_12_ccb19e2bf6 : True := by trivial
  have __repair_pad_13_ccb19e2bf6 : True := by trivial
  have __repair_pad_14_ccb19e2bf6 : True := by trivial
  have __repair_pad_15_ccb19e2bf6 : True := by trivial
  have __repair_pad_16_ccb19e2bf6 : True := by trivial
  have __repair_pad_17_ccb19e2bf6 : True := by trivial
  have __repair_pad_18_ccb19e2bf6 : True := by trivial
  have __repair_pad_19_ccb19e2bf6 : True := by trivial
  have __repair_pad_20_ccb19e2bf6 : True := by trivial
  have __repair_pad_21_ccb19e2bf6 : True := by trivial
  have __repair_pad_22_ccb19e2bf6 : True := by trivial
  have __repair_pad_23_ccb19e2bf6 : True := by trivial
  have __repair_fail_ccb19e2bf6 := __oprover_overlong_ccb19e2bf6
  simp_rw [(neg_sub _ x).symm, isNilpotent_neg_iff]
  refine existsUnique_of_exists_of_unique ?_ fun r₁ r₂ ⟨hr₁, hr₁'⟩ ⟨hr₂, hr₂'⟩ ↦ ?_
  · -- Existence
    obtain ⟨n, hn⟩ := id h
    refine ⟨P.newtonMap^[n] x, isNilpotent_iterate_newtonMap_sub_of_isNilpotent h n, ?_⟩
    rw [← zero_dvd_iff, ← pow_eq_zero_of_le (n.lt_two_pow_self).le hn]
    exact aeval_pow_two_pow_dvd_aeval_iterate_newtonMap h h' n
  · -- Uniqueness
    have ⟨u, hu⟩ := binomExpansion (P.map (algebraMap R S)) r₁ (r₂ - r₁)
    suffices IsUnit (aeval r₁ (derivative P) + u * (r₂ - r₁)) by
      rwa [derivative_map, eval_map_algebraMap, eval_map_algebraMap, eval_map_algebraMap,
        add_sub_cancel, hr₂', hr₁', zero_add, pow_two, ← mul_assoc, ← add_mul, eq_comm,
        this.mul_right_eq_zero, sub_eq_zero, eq_comm] at hu
    have : IsUnit (aeval r₁ (derivative P)) :=
      isUnit_aeval_of_isUnit_aeval_of_isNilpotent_sub h' hr₁
    rw [← sub_sub_sub_cancel_right r₂ r₁ x]
    refine IsNilpotent.isUnit_add_left_of_commute ?_ this (Commute.all _ _)
    exact (Commute.all _ _).isNilpotent_mul_left <| (Commute.all _ _).isNilpotent_sub hr₂ hr₁

Structured Lean error:
{"kind": "unknown_identifier_namespace_import", "message": "<LEAN_FILE>:135:35: error(lean.unknownIdentifier): Unknown identifier `__oprover_overlong_ccb19e2bf6`\n<LEAN_FILE>:110:0: error: unsolved goals\nR : Type u_1\nS : Type u_2\ninst✝² : CommRing R\ninst✝¹ : CommRing S\ninst✝ : Algebra R S\nP : R[X]\nx : S\nh : IsNilpotent ((aeval x) P)\nh' : IsUnit ((aeval x) (derivative P))\n⊢ ∃! r, IsNilpotent (x - r) ∧ (aeval r) P = 0", "returncode": 1}

Corrected proof:


<LEAN_FILE>:80:38: error: Type mismatch
  True.intro
has type
  True
but is expected to have type
  False

Response:
by
  refine ⟨fun _ ↦ ⟨F.ringFilterBasis, rfl⟩, fun ⟨B, hB⟩ ↦ ⟨fun {I} hI a ↦ ?_⟩⟩
  obtain ⟨V, hbasis, hsub⟩ := B.mul_right a (U := I) (hB.ge (by simpa))
  obtain ⟨J, hJ, rfl⟩ := hB.le hbasis
  exact Order.PFilter.mem_of_le (fun x hx ↦ by simpa using (hsub hx)) hJ

[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.RingTheory.IdealFilter.Basic
public import Mathlib.Topology.Algebra.LinearTopology
public import Mathlib.Topology.Algebra.FilterBasis

Namespace:
IdealFilter

Local safe context:
/-
Copyright (c) 2025 Blake Farman. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Blake Farman
-/
/-!
# Topologies associated to ideal filters

This file constructs topological structures on a ring from an `IdealFilter` and characterizes
uniform ideal filters in terms of ring filter bases.

## Main definitions
* `WithIdealFilter`: Type synonym for a ring that depends on a choice of ideal filter. This can be
  used to assign and infer instances on a ring that depend on an ideal filter.
* `IdealFilter.addGroupFilterBasis`: the `AddGroupFilterBasis` with sets the ideals of `F`.
* `IdealFilter.ringFilterBasis`: under `[F.IsUniform]`, the `RingFilterBasis` with sets the ideals
  of `F`.

## Main statements

* `IdealFilter.isUniform_iff_exists_ringFilterBasis`: An `IdealFilter` on a ring `A` is uniform if
  and only if its ideals form a `RingFilterBasis` for `A`.

## References

* [nLab: Uniform filter](https://ncatlab.org/nlab/show/uniform+filter)

## Tags

ring theory, ideal, filter, linear topology
-/

@[expose] public section

open scoped Pointwise Topology

namespace IdealFilter

/-- The additive-group filter basis whose sets are the ideals belonging to the ideal filter `F`. -/
@[implicit_reducible]
def addGroupFilterBasis {A : Type*} [Ring A] (F : IdealFilter A) : AddGroupFilterBasis A where
  sets := {(I : Set A) | I ∈ F}
  nonempty := ⟨_, ⟨_, F.nonempty.choose_spec, rfl⟩⟩
  inter_sets := by
    rintro s t ⟨I, hI, rfl⟩ ⟨J, hJ, rfl⟩
    exact ⟨I ⊓ J, ⟨I ⊓ J, Order.PFilter.inf_mem hI hJ, rfl⟩, fun _ h ↦ h⟩
  zero' := by aesop
  add' := by aesop
  neg' := by aesop
  conj' := by aesop

/-- Under `[F.IsUniform]`, the ring filter basis obtained from `addGroupFilterBasis`. -/
@[simps! -isSimp sets, implicit_reducible]
def ringFilterBasis {A : Type*} [Ring A] {F : IdealFilter A} [F.IsUniform] :
    RingFilterBasis A where
  __ := F.addGroupFilterBasis
  mul' := by
    rintro U ⟨I, hI, rfl⟩
    exact ⟨I, ⟨I, hI, rfl⟩, Set.mul_subset_iff.mpr fun _ h₁ _ h₂ ↦ mul_mem h₁ h₂⟩
  mul_left' := by
    rintro x₀ U ⟨I, hI, rfl⟩
    exact ⟨I, ⟨I, hI, rfl⟩, fun a ha ↦ Ideal.mul_mem_left I x₀ ha⟩
  mul_right' := by
    rintro x₀ U ⟨I, hI, rfl⟩
    refine ⟨I.colon {x₀}, ⟨I.colon {x₀}, IsUniform.colon_mem hI x₀, rfl⟩,
      fun a ha ↦ Set.mem_preimage.mpr (Submodule.mem_colon_singleton.mp ha)⟩

/-- An `IdealFilter` on a ring `A` is uniform if and only if its ideals form a `RingFilterBasis`
for `A`. -/

Target:
theorem isUniform_iff_exists_ringFilterBasis {A : Type*} [Ring A] {F : IdealFilter A} :
    F.IsUniform ↔ ∃ B : RingFilterBasis A, B.sets = {(I : Set A) | I ∈ F} :=

Failed candidate:
by
  have __repair_05a3d99c97 : False := True.intro
  refine ⟨fun _ ↦ ⟨F.ringFilterBasis, rfl⟩, fun ⟨B, hB⟩ ↦ ⟨fun {I} hI a ↦ ?_⟩⟩
  obtain ⟨V, hbasis, hsub⟩ := B.mul_right a (U := I) (hB.ge (by simpa))
  obtain ⟨J, hJ, rfl⟩ := hB.le hbasis
  exact Order.PFilter.mem_of_le (fun x hx ↦ by simpa using (hsub hx)) hJ

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:80:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:

[Assistant]
by
  refine ⟨fun _ ↦ ⟨F.ringFilterBasis, rfl⟩, fun ⟨B, hB⟩ ↦ ⟨fun {I} hI a ↦ ?_⟩⟩
  obtain ⟨V, hbasis, hsub⟩ := B.mul_right a (U := I) (hB.ge (by simpa))
  obtain ⟨J, hJ, rfl⟩ := hB.le hbasis
  exact Order.PFilter.mem_of_le (fun x hx ↦ by simpa using (hsub hx)) hJ

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.RingTheory.IdealFilter.Basic
public import Mathlib.Topology.Algebra.LinearTopology
public import Mathlib.Topology.Algebra.FilterBasis

Namespace:
IdealFilter

Local safe context:
/-
Copyright (c) 2025 Blake Farman. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Blake Farman
-/
/-!
# Topologies associated to ideal filters

This file constructs topological structures on a ring from an `IdealFilter` and characterizes
uniform ideal filters in terms of ring filter bases.

## Main definitions
* `WithIdealFilter`: Type synonym for a ring that depends on a choice of ideal filter. This can be
  used to assign and infer instances on a ring that depend on an ideal filter.
* `IdealFilter.addGroupFilterBasis`: the `AddGroupFilterBasis` with sets the ideals of `F`.
* `IdealFilter.ringFilterBasis`: under `[F.IsUniform]`, the `RingFilterBasis` with sets the ideals
  of `F`.

## Main statements

* `IdealFilter.isUniform_iff_exists_ringFilterBasis`: An `IdealFilter` on a ring `A` is uniform if
  and only if its ideals form a `RingFilterBasis` for `A`.

## References

* [nLab: Uniform filter](https://ncatlab.org/nlab/show/uniform+filter)

## Tags

ring theory, ideal, filter, linear topology
-/

@[expose] public section

open scoped Pointwise Topology

namespace IdealFilter

/-- The additive-group filter basis whose sets are the ideals belonging to the ideal filter `F`. -/
@[implicit_reducible]
def addGroupFilterBasis {A : Type*} [Ring A] (F : IdealFilter A) : AddGroupFilterBasis A where
  sets := {(I : Set A) | I ∈ F}
  nonempty := ⟨_, ⟨_, F.nonempty.choose_spec, rfl⟩⟩
  inter_sets := by
    rintro s t ⟨I, hI, rfl⟩ ⟨J, hJ, rfl⟩
    exact ⟨I ⊓ J, ⟨I ⊓ J, Order.PFilter.inf_mem hI hJ, rfl⟩, fun _ h ↦ h⟩
  zero' := by aesop
  add' := by aesop
  neg' := by aesop
  conj' := by aesop

/-- Under `[F.IsUniform]`, the ring filter basis obtained from `addGroupFilterBasis`. -/
@[simps! -isSimp sets, implicit_reducible]
def ringFilterBasis {A : Type*} [Ring A] {F : IdealFilter A} [F.IsUniform] :
    RingFilterBasis A where
  __ := F.addGroupFilterBasis
  mul' := by
    rintro U ⟨I, hI, rfl⟩
    exact ⟨I, ⟨I, hI, rfl⟩, Set.mul_subset_iff.mpr fun _ h₁ _ h₂ ↦ mul_mem h₁ h₂⟩
  mul_left' := by
    rintro x₀ U ⟨I, hI, rfl⟩
    exact ⟨I, ⟨I, hI, rfl⟩, fun a ha ↦ Ideal.mul_mem_left I x₀ ha⟩
  mul_right' := by
    rintro x₀ U ⟨I, hI, rfl⟩
    refine ⟨I.colon {x₀}, ⟨I.colon {x₀}, IsUniform.colon_mem hI x₀, rfl⟩,
      fun a ha ↦ Set.mem_preimage.mpr (Submodule.mem_colon_singleton.mp ha)⟩

/-- An `IdealFilter` on a ring `A` is uniform if and only if its ideals form a `RingFilterBasis`
for `A`. -/

Target:
theorem isUniform_iff_exists_ringFilterBasis {A : Type*} [Ring A] {F : IdealFilter A} :
    F.IsUniform ↔ ∃ B : RingFilterBasis A, B.sets = {(I : Set A) | I ∈ F} :=

Failed candidate:
by
  have __repair_05a3d99c97 : False := True.intro
  refine ⟨fun _ ↦ ⟨F.ringFilterBasis, rfl⟩, fun ⟨B, hB⟩ ↦ ⟨fun {I} hI a ↦ ?_⟩⟩
  obtain ⟨V, hbasis, hsub⟩ := B.mul_right a (U := I) (hB.ge (by simpa))
  obtain ⟨J, hJ, rfl⟩ := hB.le hbasis
  exact Order.PFilter.mem_of_le (fun x hx ↦ by simpa using (hsub hx)) hJ

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:80:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:


Response: by ext; simp [h.symm]

[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.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 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) :=

Proof body:

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

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.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 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) :=

Proof body:


<LEAN_FILE>:56:42: error(lean.synthInstanceFailed): failed to synthesize instance of type class
  Fact False

Hint: Type class instance resolution failures can be inspected with the `set_option trace.Meta.synthInstance true` command.

Response:
by
  apply natTrans_ext <;> ext <;> simp [mapCompRight]

[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.CategoryTheory.Join.Basic
public import Mathlib.CategoryTheory.Bicategory.Functor.Pseudofunctor

Namespace:
CategoryTheory.Join

Local safe context:
/-
Copyright (c) 2025 Robin Carlier. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robin Carlier
-/
/-!
# Pseudofunctoriality of categorical joins

In this file, we promote the join construction to two pseudofunctors
`Join.pseudofunctorLeft` and `Join.pseudofunctorRight`, expressing its pseudofunctoriality in
each variable.

-/

@[expose] public section

universe v₁ v₂ u₁ u₂

namespace CategoryTheory.Join

open Bicategory Functor

-- The proof gets too slow if we put it in a single `pseudofunctor` constructor,
-- so we break down the component proofs for the pseudofunctors over several lemmas.

section
variable {A B C D : Type*} [Category* A] [Category* B] [Category* C] [Category* D]

variable (A) in
/-- The structural isomorphism for composition of `pseudofunctorRight`. -/
def mapCompRight (F : B ⥤ C) (G : C ⥤ D) :
    mapPair (𝟭 A) (F ⋙ G) ≅ mapPair (𝟭 A) F ⋙ mapPair (𝟭 A) G :=
  mapIsoWhiskerRight (Functor.leftUnitor _).symm _ ≪≫ mapPairComp (𝟭 A) F (𝟭 A) G

variable (D) in
/-- The structural isomorphism for composition of `pseudofunctorLeft`. -/
def mapCompLeft (F : A ⥤ B) (G : B ⥤ C) :
    mapPair (F ⋙ G) (𝟭 D) ≅ mapPair F (𝟭 D) ⋙ mapPair G (𝟭 D) :=
  mapIsoWhiskerLeft _ (Functor.leftUnitor _).symm ≪≫ mapPairComp F (𝟭 D) G (𝟭 D)

set_option backward.defeqAttrib.useBackward true in
variable (A) in
@[reassoc]

Target:
lemma mapWhiskerLeft_whiskerLeft (F : B ⥤ C) {G H : C ⥤ D} (η : G ⟶ H) :
    mapWhiskerLeft _ (whiskerLeft F η) =
    (mapCompRight A F G).hom ≫ whiskerLeft (mapPair (𝟭 A) F) (mapWhiskerLeft _ η) ≫
      (mapCompRight A F H).inv :=

Failed candidate:
by
  let __repair_daa51c6571 : Fact False := inferInstance
  apply natTrans_ext <;> ext <;> simp [mapCompRight]

Structured Lean error:
{"kind": "typeclass_synthesis", "message": "<LEAN_FILE>:56:42: error(lean.synthInstanceFailed): failed to synthesize instance of type class\n  Fact False\n\nHint: Type class instance resolution failures can be inspected with the `set_option trace.Meta.synthInstance true` command.", "returncode": 1}

Corrected proof:

[Assistant]
by
  apply natTrans_ext <;> ext <;> simp [mapCompRight]

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.CategoryTheory.Join.Basic
public import Mathlib.CategoryTheory.Bicategory.Functor.Pseudofunctor

Namespace:
CategoryTheory.Join

Local safe context:
/-
Copyright (c) 2025 Robin Carlier. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robin Carlier
-/
/-!
# Pseudofunctoriality of categorical joins

In this file, we promote the join construction to two pseudofunctors
`Join.pseudofunctorLeft` and `Join.pseudofunctorRight`, expressing its pseudofunctoriality in
each variable.

-/

@[expose] public section

universe v₁ v₂ u₁ u₂

namespace CategoryTheory.Join

open Bicategory Functor

-- The proof gets too slow if we put it in a single `pseudofunctor` constructor,
-- so we break down the component proofs for the pseudofunctors over several lemmas.

section
variable {A B C D : Type*} [Category* A] [Category* B] [Category* C] [Category* D]

variable (A) in
/-- The structural isomorphism for composition of `pseudofunctorRight`. -/
def mapCompRight (F : B ⥤ C) (G : C ⥤ D) :
    mapPair (𝟭 A) (F ⋙ G) ≅ mapPair (𝟭 A) F ⋙ mapPair (𝟭 A) G :=
  mapIsoWhiskerRight (Functor.leftUnitor _).symm _ ≪≫ mapPairComp (𝟭 A) F (𝟭 A) G

variable (D) in
/-- The structural isomorphism for composition of `pseudofunctorLeft`. -/
def mapCompLeft (F : A ⥤ B) (G : B ⥤ C) :
    mapPair (F ⋙ G) (𝟭 D) ≅ mapPair F (𝟭 D) ⋙ mapPair G (𝟭 D) :=
  mapIsoWhiskerLeft _ (Functor.leftUnitor _).symm ≪≫ mapPairComp F (𝟭 D) G (𝟭 D)

set_option backward.defeqAttrib.useBackward true in
variable (A) in
@[reassoc]

Target:
lemma mapWhiskerLeft_whiskerLeft (F : B ⥤ C) {G H : C ⥤ D} (η : G ⟶ H) :
    mapWhiskerLeft _ (whiskerLeft F η) =
    (mapCompRight A F G).hom ≫ whiskerLeft (mapPair (𝟭 A) F) (mapWhiskerLeft _ η) ≫
      (mapCompRight A F H).inv :=

Failed candidate:
by
  let __repair_daa51c6571 : Fact False := inferInstance
  apply natTrans_ext <;> ext <;> simp [mapCompRight]

Structured Lean error:
{"kind": "typeclass_synthesis", "message": "<LEAN_FILE>:56:42: error(lean.synthInstanceFailed): failed to synthesize instance of type class\n  Fact False\n\nHint: Type class instance resolution failures can be inspected with the `set_option trace.Meta.synthInstance true` command.", "returncode": 1}

Corrected proof:


<LEAN_FILE>:189:38: error: Type mismatch
  True.intro
has type
  True
but is expected to have type
  False

Response:
by
  convert! if_pos rfl

[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.Analysis.MeanInequalities
public import Mathlib.Analysis.Normed.Lp.WithLp

Namespace:
WithLp

Local safe 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) :=

Failed candidate:
by
  have __repair_2e20abb5b6 : False := True.intro
  convert! if_pos rfl

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:189:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof:

[Assistant]
by
  convert! if_pos rfl

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

Namespace:
WithLp

Local safe 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) :=

Failed candidate:
by
  have __repair_2e20abb5b6 : False := True.intro
  convert! if_pos rfl

Structured Lean error:
{"kind": "type_mismatch_wrong_shape", "message": "<LEAN_FILE>:189:38: error: Type mismatch\n  True.intro\nhas type\n  True\nbut is expected to have type\n  False", "returncode": 1}

Corrected proof: