openAI-math-dataset / lean /OAI /Algebra /AuslanderReiten /Tensor /EnvelopingBalancedRegular.lean
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Add lean source and binary files (part 6)
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import OAI.Algebra.AuslanderReiten.Tensor.EnvelopingBalancedMap
namespace OAI
noncomputable section
open CategoryTheory
open scoped TensorProduct ModuleCat.Algebra
namespace ArExplicit.EnvelopingBimodule
universe u
variable (k R : Type u) [Field k] [Ring R] [Algebra k R]
variable (X : ModuleCat.{u} R) [Module k X] [IsScalarTower k R X]
abbrev regularObject : ModuleCat.{u} (R ⊗[k] Rᵐᵒᵖ) :=
ModuleCat.of (R ⊗[k] Rᵐᵒᵖ) (R ⊗[k] Rᵐᵒᵖ)
private def unopAction : Rᵐᵒᵖ →ₗ[k] X →ₗ[k] X where
toFun b :=
{ toFun := fun x => b.unop • x
map_add' := smul_add b.unop
map_smul' := by intros; exact smul_comm _ _ _ }
map_add' b c := by ext x; exact add_smul b.unop c.unop x
map_smul' c b := by
ext x
change (c • b.unop) • x = c • (b.unop • x)
exact smul_assoc c b.unop x
private def regularRaw : (R ⊗[k] Rᵐᵒᵖ) →ₗ[k] X →ₗ[k] (R ⊗[k] X) :=
TensorProduct.lift
{ toFun := fun a =>
{ toFun := fun b => (TensorProduct.mk k R X a).comp (unopAction k R X b)
map_add' := by intros; ext x; simp [unopAction, add_smul, TensorProduct.tmul_add]
map_smul' := by intros; ext x; simp [unopAction] }
map_add' := by intros; ext b x; simp
map_smul' := by intros; ext b x; simp }
@[simp] private theorem regularRaw_tmul (a : R) (b : Rᵐᵒᵖ) (x : X) :
regularRaw k R X (a ⊗ₜ[k] b) x = a ⊗ₜ[k] (b.unop • x) := rfl
private def regularBilinear : EnvelopingBimodule k R (regularObject k R) →ₗ[k]
X →ₗ[k] (R ⊗[k] X) :=
(regularRaw k R X).comp (scalarEquiv (regularObject k R)).toLinearMap
private theorem regularBilinear_balance
(f : EnvelopingBimodule k R (regularObject k R)) (r : R) (x : X) :
regularBilinear k R X (MulOpposite.op r • f) x =
regularBilinear k R X f (r • x) := by
rcases f with ⟨f⟩
induction f using TensorProduct.inductionOn with
| add f g hf hg =>
change regularRaw k R X (((1 : R) ⊗ₜ[k] MulOpposite.op r) * (f + g)) x =
regularRaw k R X (f + g) (r • x)
simp only [mul_add, _root_.map_add, LinearMap.add_apply] at *
exact congrArg₂ (· + ·) hf hg
| tmul a b =>
change regularRaw k R X (((1 : R) ⊗ₜ[k] MulOpposite.op r) * (a ⊗ₜ[k] b)) x =
regularRaw k R X (a ⊗ₜ[k] b) (r • x)
simp only [Algebra.TensorProduct.tmul_mul_tmul, one_mul, regularRaw_tmul,
MulOpposite.unop_mul, MulOpposite.unop_op, mul_smul]
private theorem regularBilinear_left
(r : R) (f : EnvelopingBimodule k R (regularObject k R)) (x : X) :
regularBilinear k R X (r • f) x = r • regularBilinear k R X f x := by
rcases f with ⟨f⟩
induction f using TensorProduct.inductionOn with
| add f g hf hg =>
change regularRaw k R X ((r ⊗ₜ[k] (1 : Rᵐᵒᵖ)) * (f + g)) x =
r • regularRaw k R X (f + g) x
simp only [mul_add, _root_.map_add, LinearMap.add_apply, smul_add] at *
exact congrArg₂ (· + ·) hf hg
| tmul a b =>
change regularRaw k R X ((r ⊗ₜ[k] (1 : Rᵐᵒᵖ)) * (a ⊗ₜ[k] b)) x =
r • regularRaw k R X (a ⊗ₜ[k] b) x
simp only [Algebra.TensorProduct.tmul_mul_tmul, one_mul, regularRaw_tmul,
TensorProduct.smul_tmul', smul_eq_mul]
def regularEvaluation :
BalancedTensor k R (EnvelopingBimodule k R (regularObject k R)) X →ₗ[R]
R ⊗[k] X :=
BalancedTensor.liftLeft (regularBilinear k R X)
(regularBilinear_balance k R X) (regularBilinear_left k R X)
@[simp] theorem regularEvaluation_tmul (a : R) (b : Rᵐᵒᵖ) (x : X) :
regularEvaluation k R X (BalancedTensor.tmul ⟨a ⊗ₜ[k] b⟩ x) =
a ⊗ₜ[k] (b.unop • x) := rfl
private def regularInclusion : R →ₗ[k] EnvelopingBimodule k R (regularObject k R) where
toFun a := ⟨a ⊗ₜ[k] (1 : Rᵐᵒᵖ)⟩
map_add' a b := by ext; exact TensorProduct.add_tmul a b 1
map_smul' c a := by ext; exact TensorProduct.smul_tmul' c a 1
private def regularInverse : R ⊗[k] X →ₗ[k]
BalancedTensor k R (EnvelopingBimodule k R (regularObject k R)) X :=
TensorProduct.lift ((BalancedTensor.mk (k := k) (R := R)).comp (regularInclusion k R))
omit [IsScalarTower k R X] in
@[simp] private theorem regularInverse_tmul (a : R) (x : X) :
regularInverse k R X (a ⊗ₜ[k] x) =
BalancedTensor.tmul (⟨a ⊗ₜ[k] (1 : Rᵐᵒᵖ)⟩ : EnvelopingBimodule k R (regularObject k R)) x := rfl
private theorem regularInverse_evaluation
(z : BalancedTensor k R (EnvelopingBimodule k R (regularObject k R)) X) :
regularInverse k R X (regularEvaluation k R X z) = z := by
induction z using BalancedTensor.induction_on with
| zero => simp only [_root_.map_zero]
| add z w hz hw => simp only [_root_.map_add, hz, hw]
| tmul f x =>
rcases f with ⟨f⟩
induction f using TensorProduct.inductionOn with
| add f g hf hg =>
change regularInverse k R X (regularEvaluation k R X
(BalancedTensor.tmul ((⟨f⟩ : EnvelopingBimodule k R (regularObject k R)) + ⟨g⟩) x)) =
BalancedTensor.tmul ((⟨f⟩ : EnvelopingBimodule k R (regularObject k R)) + ⟨g⟩) x
simpa only [BalancedTensor.add_tmul, _root_.map_add] using congrArg₂ (· + ·) hf hg
| tmul a b =>
rw [regularEvaluation_tmul, regularInverse_tmul, ← BalancedTensor.balance]
congr 1
apply EnvelopingBimodule.ext
change (((1 : R) ⊗ₜ[k] MulOpposite.op b.unop) * (a ⊗ₜ[k] (1 : Rᵐᵒᵖ))) = a ⊗ₜ[k] b
simp only [MulOpposite.op_unop, Algebra.TensorProduct.tmul_mul_tmul, one_mul, mul_one]
private theorem regularEvaluation_inverse (z : R ⊗[k] X) :
regularEvaluation k R X (regularInverse k R X z) = z := by
induction z using TensorProduct.inductionOn with
| add z w hz hw => simp only [_root_.map_add, hz, hw]
| tmul a x => simp only [regularInverse_tmul, regularEvaluation_tmul, MulOpposite.unop_one, one_smul]
def regularEquiv :
BalancedTensor k R (EnvelopingBimodule k R (regularObject k R)) X ≃ₗ[R] R ⊗[k] X where
__ := regularEvaluation k R X
invFun := regularInverse k R X
left_inv := regularInverse_evaluation k R X
right_inv := regularEvaluation_inverse k R X
end ArExplicit.EnvelopingBimodule
end
end OAI