openAI-math-dataset / lean /OAI /Algebra /Finitistic /Bar /MultibarDecomposition.lean
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import OAI.Algebra.Finitistic.Bar.MultibarIndex
namespace OAI
open scoped TensorProduct DirectSum
open TensorProduct TrivSqZeroExt
noncomputable section
namespace DerivedBar.Multibar.Indexed
universe u
/-- A D/X pattern with length and X-count in its type, avoiding any degree casts. -/
inductive Shape : ℕ → ℕ → Type
| nil : Shape 0 0
| base {n r : ℕ} : Shape n r → Shape (n+1) r
| ideal {n r : ℕ} : Shape n r → Shape (n+1) (r+1)
local instance (n r : ℕ) : DecidableEq (Shape n r) := Classical.decEq _
def toList : {n r : ℕ} → Shape n r → List Bool
| _, _, .nil => []
| _, _, .base p => false :: toList p
| _, _, .ideal p => true :: toList p
@[simp] theorem length_toList {n r : ℕ} (p : Shape n r) : (toList p).length = n := by
induction p <;> simp_all [toList]
@[simp] theorem count_toList {n r : ℕ} (p : Shape n r) : count (toList p) = r := by
induction p <;> simp_all [toList, count]
variable (k D X N : Type u) [Field k] [Ring D] [Algebra k D]
[AddCommGroup X] [Module k X] [Module D X] [Module Dᵐᵒᵖ X]
[SMulCommClass D Dᵐᵒᵖ X] [IsScalarTower k D X] [IsScalarTower k Dᵐᵒᵖ X]
[AddCommGroup N] [Module k N]
@[reducible] def tensor : {n r : ℕ} → Shape n r → ModuleCat k
| _, _, .nil => ModuleCat.of k N
| _, _, .base p => ModuleCat.of k (D ⊗[k] tensor p)
| _, _, .ideal p => ModuleCat.of k (X ⊗[k] tensor p)
def inclusion : {n r : ℕ} → (p : Shape n r) →
tensor k D X N p →ₗ[k] DerivedBar.term k (TrivSqZeroExt D X) N n
| _, _, .nil => LinearMap.id
| _, _, .base p => TensorProduct.map (inlAlgHom k D X).toLinearMap (inclusion p)
| _, _, .ideal p => TensorProduct.map ((inrHom D X).restrictScalars k) (inclusion p)
def retraction : {n r : ℕ} → (p : Shape n r) →
DerivedBar.term k (TrivSqZeroExt D X) N n →ₗ[k] tensor k D X N p
| _, _, .nil => LinearMap.id
| _, _, .base p => TensorProduct.map (fstHom k D X).toLinearMap (retraction p)
| _, _, .ideal p => TensorProduct.map ((sndHom D X).restrictScalars k) (retraction p)
theorem retraction_inclusion {n r : ℕ} (p : Shape n r) (v : tensor k D X N p) :
retraction k D X N p (inclusion k D X N p v) = v := by
induction p with
| nil => rfl
| base p ih =>
induction v using TensorProduct.inductionOn with
| tmul d v =>
change d ⊗ₜ[k] retraction k D X N p (inclusion k D X N p v) = _
rw [ih]
| add v w hv hw => simp only [map_add, hv, hw]
| ideal p ih =>
induction v using TensorProduct.inductionOn with
| tmul x v =>
change x ⊗ₜ[k] retraction k D X N p (inclusion k D X N p v) = _
rw [ih]
| add v w hv hw => simp only [map_add, hv, hw]
/-- Distinct patterns are separated by slotwise projections, including non-flat bimodules. -/
theorem retraction_other {n r : ℕ} (p q : Shape n r) (hpq : p ≠ q)
(v : tensor k D X N q) : retraction k D X N p (inclusion k D X N q v) = 0 := by
induction p with
| nil => cases q; exact (hpq rfl).elim
| base p ih =>
cases q with
| base q =>
have h : p ≠ q := fun h => hpq (congrArg Shape.base h)
induction v using TensorProduct.inductionOn with
| tmul d v =>
change d ⊗ₜ[k] retraction k D X N p (inclusion k D X N q v) = 0
rw [ih q h, TensorProduct.tmul_zero]
| add v w hv hw => simp only [map_add, hv, hw, add_zero]
| ideal q =>
induction v using TensorProduct.inductionOn with
| tmul x v => exact TensorProduct.zero_tmul _ _
| add v w hv hw => simp only [map_add, hv, hw, add_zero]
| ideal p ih =>
cases q with
| base q =>
induction v using TensorProduct.inductionOn with
| tmul d v => exact TensorProduct.zero_tmul _ _
| add v w hv hw => simp only [map_add, hv, hw, add_zero]
| ideal q =>
have h : p ≠ q := fun h => hpq (congrArg Shape.ideal h)
induction v using TensorProduct.inductionOn with
| tmul x v =>
change x ⊗ₜ[k] retraction k D X N p (inclusion k D X N q v) = 0
rw [ih q h, TensorProduct.tmul_zero]
| add v w hv hw => simp only [map_add, hv, hw, add_zero]
theorem inclusion_mem {n r : ℕ} (p : Shape n r) (v : tensor k D X N p) :
inclusion k D X N p v ∈ SquareZero.weight k D X N n r := by
induction p with
| nil => exact Submodule.subset_span (SquareZero.Word.nil v)
| base p ih =>
induction v using TensorProduct.inductionOn with
| tmul d v => exact SquareZero.base_tmul_mem d (ih v)
| add v w hv hw => simpa only [map_add] using Submodule.add_mem _ hv hw
| ideal p ih =>
induction v using TensorProduct.inductionOn with
| tmul x v => exact SquareZero.ideal_tmul_mem x (ih v)
| add v w hv hw => simpa only [map_add] using Submodule.add_mem _ hv hw
/-- Every homogeneous word is an actual tensor in one of the prescribed blocks. -/
theorem word_inclusion {n r : ℕ} {z : DerivedBar.term k (TrivSqZeroExt D X) N n}
(hz : SquareZero.Word k D X N n r z) :
∃ (p : Shape n r) (v : tensor k D X N p), inclusion k D X N p v = z := by
induction hz with
| nil v => exact ⟨.nil, v, rfl⟩
| base d h ih =>
obtain ⟨p, v, hv⟩ := ih
exact ⟨.base p, d ⊗ₜ[k] v, by change (inl d : TrivSqZeroExt D X) ⊗ₜ[k] _ = _; rw [hv]⟩
| ideal x h ih =>
obtain ⟨p, v, hv⟩ := ih
exact ⟨.ideal p, x ⊗ₜ[k] v, by change (inr x : TrivSqZeroExt D X) ⊗ₜ[k] _ = _; rw [hv]⟩
abbrev outerTensor {n r : ℕ} (p : Shape n r) := D ⊗[k] tensor k D X N p
def outerInclusion {n r : ℕ} (p : Shape n r) : outerTensor k D X N p →ₗ[D]
D ⊗[k] DerivedBar.term k (TrivSqZeroExt D X) N n :=
AlgebraTensorModule.lTensor D D (inclusion k D X N p)
def outerRetraction {n r : ℕ} (p : Shape n r) :
D ⊗[k] DerivedBar.term k (TrivSqZeroExt D X) N n →ₗ[D] outerTensor k D X N p :=
AlgebraTensorModule.lTensor D D (retraction k D X N p)
theorem outerRetraction_inclusion {n r : ℕ} (p : Shape n r) (v : outerTensor k D X N p) :
outerRetraction k D X N p (outerInclusion k D X N p v) = v := by
induction v using TensorProduct.inductionOn with
| tmul d v =>
change d ⊗ₜ[k] retraction k D X N p (inclusion k D X N p v) = _
rw [retraction_inclusion]
| add v w hv hw => simp only [map_add, hv, hw]
theorem outerRetraction_other {n r : ℕ} (p q : Shape n r) (hpq : p ≠ q)
(v : outerTensor k D X N q) :
outerRetraction k D X N p (outerInclusion k D X N q v) = 0 := by
induction v using TensorProduct.inductionOn with
| tmul d v =>
change d ⊗ₜ[k] retraction k D X N p (inclusion k D X N q v) = 0
rw [retraction_other k D X N p q hpq, TensorProduct.tmul_zero]
| add v w hv hw => simp only [map_add, hv, hw, add_zero]
theorem outerInclusion_mem {n r : ℕ} (p : Shape n r) (v : outerTensor k D X N p) :
outerInclusion k D X N p v ∈ SquareZero.twoSidedWeight k D X N n r := by
induction v using TensorProduct.inductionOn with
| tmul d v => exact SquareZero.tensor_weight_mem d (inclusion_mem k D X N p v)
| add v w hv hw => simpa only [map_add] using Submodule.add_mem _ hv hw
/-- The actual sum of all tensor-block inclusions in count r and degree n. -/
def assemble (n r : ℕ) : (⨁ p : Shape n r, outerTensor k D X N p) →ₗ[D]
SquareZero.twoSidedWeight k D X N n r :=
DirectSum.toModule D (Shape n r) _ (fun p =>
(outerInclusion k D X N p).codRestrict _ (outerInclusion_mem k D X N p))
/-- Surjectivity is proved from the original homogeneous-word spanning definition. -/
theorem assemble_surjective (n r : ℕ) : Function.Surjective (assemble k D X N n r) := by
let S := LinearMap.range (assemble k D X N n r)
have hle : SquareZero.twoSidedWeight k D X N n r ≤
S.map (SquareZero.twoSidedWeight k D X N n r).subtype := by
apply Submodule.span_le.mpr
rintro z ⟨d, v, hv, rfl⟩
obtain ⟨p, w, hw⟩ := word_inclusion k D X N hv
refine ⟨assemble k D X N n r (DirectSum.lof D _ _ p (d ⊗ₜ[k] w)), ⟨_, rfl⟩, ?_⟩
simp only [assemble, DirectSum.toModule_lof, LinearMap.codRestrict_apply,
Submodule.subtype_apply]
change d ⊗ₜ[k] inclusion k D X N p w = d ⊗ₜ[k] v
rw [hw]
intro v
obtain ⟨w, ⟨z, hz⟩, hw⟩ := hle v.property
refine ⟨z, ?_⟩
apply Subtype.ext
rw [hz]
exact hw
/-- Projection onto an actual block after summation recovers the direct-sum component. -/
theorem outerRetraction_assemble (n r : ℕ) (p : Shape n r)
(z : ⨁ p : Shape n r, outerTensor k D X N p) :
outerRetraction k D X N p (assemble k D X N n r z) = z p := by
have h : (outerRetraction k D X N p).comp
((SquareZero.twoSidedWeight k D X N n r).subtype.comp (assemble k D X N n r)) =
DirectSum.component D (Shape n r) (outerTensor k D X N) p := by
apply DirectSum.linearMap_ext
intro q
apply LinearMap.ext
intro v
by_cases hpq : p = q
· subst q
simpa only [LinearMap.comp_apply, assemble, DirectSum.toModule_lof,
LinearMap.codRestrict_apply, Submodule.subtype_apply,
DirectSum.component.lof_self] using
outerRetraction_inclusion k D X N p v
· simpa only [LinearMap.comp_apply, assemble, DirectSum.toModule_lof,
LinearMap.codRestrict_apply, Submodule.subtype_apply,
DirectSum.component.of, Ne.symm hpq, dite_eq_right, dite_false] using
outerRetraction_other k D X N p q hpq v
exact LinearMap.congr_fun h z
/-- The block direct sum is linearly isomorphic to the entire actual count submodule. -/
def decomposition (n r : ℕ) : (⨁ p : Shape n r, outerTensor k D X N p) ≃ₗ[D]
SquareZero.twoSidedWeight k D X N n r :=
LinearEquiv.ofBijective (assemble k D X N n r)
⟨by
intro z w h
apply DFinsupp.ext
intro p
rw [← outerRetraction_assemble k D X N n r p z,
← outerRetraction_assemble k D X N n r p w, h],
assemble_surjective k D X N n r⟩
end DerivedBar.Multibar.Indexed
end
end OAI