openAI-math-dataset / lean /OAI /Algebra /Finitistic /Bimodule /BimoduleTensorFunctor.lean
roseking's picture
Add lean source and binary files (part 7)
216fb31 verified
Raw History Blame Contribute Delete
4.12 kB
import OAI.Algebra.Finitistic.Bimodule.BimoduleBalancedTensor
namespace OAI
noncomputable section
open CategoryTheory
open scoped TensorProduct ModuleCat.Algebra
namespace LittleFinitistic.BimoduleBalancedTensor
open ExternalTensor.Section4
attribute [local instance] inputEnveloping
universe u
variable (k B : Type u) [Field k] [Ring B] [Algebra k B]
variable (M : ModuleCat.{u} (Enveloping k B))
variable (N : Type u) [AddCommGroup N] [Module k N] [Module B N]
theorem algebraMap_smul (c : k) (x : Tensor k B M N) :
algebraMap k B c • x = c • x := by
induction x using BalancedTensor.induction_on with
| hz => simp
| ht m n =>
rw [smul_mk]
have he : (algebraMap k B c ⊗ₜ[k] (1 : Bᵐᵒᵖ)) =
algebraMap k (Enveloping k B) c :=
(Algebra.TensorProduct.includeLeft : B →ₐ[k] Enveloping k B).commutes c
rw [he]
have hm : algebraMap k (Enveloping k B) c • (m : M) = (c • m : Input k B M) := by
change algebraMap k (Enveloping k B) c • (m : M) =
BimoduleVertex.restriction k B (algebraMap k Bᵐᵒᵖ c) • (m : M)
rw [show BimoduleVertex.restriction k B (algebraMap k Bᵐᵒᵖ c) =
algebraMap k (Enveloping k B) c from
(Algebra.TensorProduct.includeRight : Bᵐᵒᵖ →ₐ[k] Enveloping k B).commutes c]
rw [hm]
exact LinearMap.congr_fun ((BalancedTensor.mk k B (Input k B M) N).map_smul c m) n
| ha x y hx hy => simp_all [smul_add]
instance scalarTower : IsScalarTower k B (Tensor k B M N) :=
IsScalarTower.of_algebraMap_smul (algebraMap_smul k B M N)
variable {M} {M' : ModuleCat.{u} (Enveloping k B)}
/-- A genuine bimodule map induces a map preserving the full left B action after tensoring. -/
def map (f : M ⟶ M') : Tensor k B M N →ₗ[B] Tensor k B M' N where
__ := (BalancedTensor.mapLeft (k := k) N ((forgetRight k B).map f).hom).toAddMonoidHom
map_smul' b x := by
induction x using BalancedTensor.induction_on with
| hz =>
rw [smul_zero]
exact (map_zero _).trans
((congrArg (b • ·) (map_zero _)).trans (smul_zero b)).symm
| ht m n =>
change BalancedTensor.mk k B (Input k B M') N (f.hom
((b ⊗ₜ[k] (1 : Bᵐᵒᵖ)) • (m : M))) n =
BalancedTensor.mk k B (Input k B M') N
((b ⊗ₜ[k] (1 : Bᵐᵒᵖ)) • f.hom m) n
exact congrArg (fun m' => BalancedTensor.mk k B (Input k B M') N m' n)
(f.hom.map_smul (b ⊗ₜ[k] (1 : Bᵐᵒᵖ)) (m : M))
| ha x y hx hy =>
rw [smul_add]
exact (map_add _ _ _).trans ((congrArg₂ (· + ·) hx hy).trans
((smul_add b _ _).symm.trans (congrArg (b • ·) (map_add _ _ _).symm)))
/-- The actual balanced tensor functor from bimodules to left modules. -/
def functor : ModuleCat.{u} (Enveloping k B) ⥤ ModuleCat.{u} B where
obj M := ModuleCat.of B (Tensor k B M N)
map f := ModuleCat.ofHom (map k B N f)
map_id M := by
apply ModuleCat.hom_ext
apply LinearMap.ext
intro x
induction x using BalancedTensor.induction_on with
| hz => simp
| ht m n => rfl
| ha x y hx hy =>
exact (map_add _ _ _).trans
((congrArg₂ (· + ·) hx hy).trans (map_add _ _ _).symm)
map_comp f g := by
apply ModuleCat.hom_ext
apply LinearMap.ext
intro x
induction x using BalancedTensor.induction_on with
| hz => simp
| ht m n => rfl
| ha x y hx hy =>
exact (map_add _ _ _).trans
((congrArg₂ (· + ·) hx hy).trans (map_add _ _ _).symm)
instance additive : (functor k B N).Additive where
map_add := by
intros M M' f g
apply ModuleCat.hom_ext
apply LinearMap.ext
intro x
induction x using BalancedTensor.induction_on with
| hz =>
exact (map_zero _).trans (map_zero _).symm
| ht m n =>
change BalancedTensor.mk k B (Input k B M') N (f.hom m + g.hom m) n = _
exact LinearMap.congr_fun ((BalancedTensor.mk k B (Input k B M') N).map_add _ _) n
| ha x y hx hy =>
exact (map_add _ _ _).trans
((congrArg₂ (· + ·) hx hy).trans (map_add _ _ _).symm)
end LittleFinitistic.BimoduleBalancedTensor
end
end OAI