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import OAI.Computability.FourierCircuit.TensorTools
namespace OAI
section
/-! Sparse whole-block cancellations in triangular monotonicity. -/
namespace ExactFourier
open scoped BigOperators
namespace MatrixPrice
variable (p : MatrixPrice)
variable {ι κ : Type} [Fintype ι] [Fintype κ] [DecidableEq ι] [DecidableEq κ]
theorem rectangularShear_add_le (G H : Matrix ι κ ℂ) :
p.value (rectangularShear (G+H)) ≤
p.value (rectangularShear G) + p.value (rectangularShear H) := by
rw [← rectangularShear_mul]
exact p.mul_le _ _ (rectangularShear_unit G) (rectangularShear_unit H)
theorem rectangularShear_single
{ι : Type} {κ : Type} [Fintype ι] [Fintype κ] [DecidableEq ι] [DecidableEq κ] (i : ι) (j : κ) (c : ℂ) :
rectangularShear (Matrix.single i j c) =
Matrix.transvection (Sum.inl i) (Sum.inr j) c := by
ext a b
cases a <;> cases b <;>
simp [rectangularShear, Matrix.transvection, Matrix.single, Matrix.one_apply]
theorem rectangularShear_sum_le {α : Type*} (s : Finset α) (G : α → Matrix ι κ ℂ) :
p.value (rectangularShear (∑ i ∈ s, G i)) ≤
∑ i ∈ s, p.value (rectangularShear (G i)) := by
classical
induction s using Finset.induction_on with
| empty => simp [rectangularShear]
| @insert a s ha ih =>
rw [Finset.sum_insert ha, Finset.sum_insert ha]
exact (p.rectangularShear_add_le (G a) (∑ i ∈ s, G i)).trans (add_le_add le_rfl ih)
/-- A rectangular shear costs at most one per nonzero matrix entry. -/
theorem rectangularShear_sparse (G : Matrix ι κ ℂ) :
p.value (rectangularShear G) ≤
((Finset.univ.filter fun ij : ι × κ => G ij.1 ij.2 ≠ 0).card : ℝ) := by
classical
let S := Finset.univ.filter fun ij : ι × κ => G ij.1 ij.2 ≠ 0
have hsum : (∑ ij ∈ S, Matrix.single ij.1 ij.2 (G ij.1 ij.2)) = G := by
ext i j
simp only [Matrix.sum_apply, Matrix.single_apply]
rw [Finset.sum_eq_single (i,j)]
· simp
· intro b hb hne
by_cases hi : i=b.1
· have hj : j≠b.2 := by intro hj; exact hne (Prod.ext hi.symm hj.symm)
simp [hj, eq_comm]
· simp [hi, eq_comm]
· intro hn
have hz : G i j = 0 := by simpa [S] using hn
simp [hz]
calc
p.value (rectangularShear G) = p.value (rectangularShear (∑ ij ∈ S, Matrix.single ij.1 ij.2 (G ij.1 ij.2))) := by rw [hsum]
_ ≤ ∑ ij ∈ S, p.value (rectangularShear (Matrix.single ij.1 ij.2 (G ij.1 ij.2))) :=
p.rectangularShear_sum_le S _
_ ≤ ∑ _ij ∈ S, (1 : ℝ) := by
apply Finset.sum_le_sum
intro ij hij
rw [rectangularShear_single]
exact p.transvection_le_one _ _ (by simp) _
_ = _ := by simp [S]
end MatrixPrice
end ExactFourier
end
section
/-! Normalized whole-row-block tensor recursion and its sparse generators.
The change of basis acts only on the call index, as in corner:eq:actual-row-block. -/
namespace ExactFourier.Triangular
open scoped Kronecker BigOperators
open TensorTools
variable {α β σ κ : Type} [Fintype α] [Fintype β] [Fintype σ] [Fintype κ]
[DecidableEq α] [DecidableEq β] [DecidableEq σ] [DecidableEq κ]
def flat (E : Matrix (σ × α) κ ℂ) : Matrix σ (α × κ) ℂ := fun s j => E (s,j.1) j.2
def liftRows (R : Matrix σ (α × κ) ℂ) (H : Matrix β β ℂ) :
Matrix (σ × β) (α × (κ × β)) ℂ := fun i j => R i.1 (j.1,j.2.1) * H i.2 j.2.2
def freshRows (T : Matrix α β ℂ) : Matrix κ (α × (κ × β)) ℂ :=
fun i j => (1 : Matrix κ κ ℂ) i j.2.1 * T j.1 j.2.2
def nextRows (R : Matrix σ (α × κ) ℂ) (T : Matrix α β ℂ) (H : Matrix β β ℂ) :
Matrix ((σ × β) ⊕ κ) (α × (κ × β)) ℂ :=
Matrix.fromRows (liftRows R H) (freshRows T)
theorem liftRows_mul
{α : Type} {β : Type} {σ : Type} {κ : Type} [Fintype α] [Fintype β] [Fintype σ] [Fintype κ] [DecidableEq α] [DecidableEq β] [DecidableEq σ] [DecidableEq κ] (V : Matrix σ σ ℂ) (B : Matrix β β ℂ)
(R : Matrix σ (α × κ) ℂ) (H : Matrix β β ℂ) :
(V ⊗ₖ B) * liftRows R H = liftRows (V * R) (B * H) := by
ext i j
change (∑ x : σ × β, (V i.1 x.1 * B i.2 x.2) *
(R x.1 (j.1,j.2.1) * H x.2 j.2.2)) =
(∑ s, V i.1 s * R s (j.1,j.2.1)) * (∑ b, B i.2 b * H b j.2.2)
rw [Fintype.sum_prod_type, Finset.sum_mul]
apply Finset.sum_congr rfl
intro s hs
rw [Finset.mul_sum]
apply Finset.sum_congr rfl
intro b hb
ring
theorem nextRows_change (V : Matrix σ σ ℂ) (D : Matrix β β ℂ)
(R : Matrix σ (α × κ) ℂ) (T : Matrix α β ℂ) (hD : IsUnit D) :
Matrix.fromBlocks (V ⊗ₖ D) 0 0 (1 : Matrix κ κ ℂ) * nextRows R T D⁻¹ =
nextRows (V * R) T 1 := by
simp only [nextRows, Matrix.fromBlocks_mul_fromRows, Matrix.zero_mul, Matrix.one_mul,
add_zero, zero_add, liftRows_mul,
Matrix.mul_nonsing_inv _ ((Matrix.isUnit_iff_isUnit_det D).mp hD)]
theorem flat_next_normalized
{α : Type} {β : Type} {σ : Type} {κ : Type} [Fintype α] [Fintype β] [Fintype σ] [Fintype κ] [DecidableEq α] [DecidableEq β] [DecidableEq σ] [DecidableEq κ] (E : Matrix (σ × α) κ ℂ) (Y : Matrix κ κ ℂ)
(C : Matrix α β ℂ) (D : Matrix β β ℂ) (hY : IsUnit Y) :
flat (nextE E Y C * (Y ⊗ₖ D)⁻¹) =
nextRows (flat (E * Y⁻¹)) (C * D⁻¹) D⁻¹ := by
rw [Matrix.inv_kronecker]
ext i j
rcases i with ⟨s,b⟩|i
· change (∑ x : κ × β, (E (s,j.1) x.1 * (1 : Matrix β β ℂ) b x.2) *
(Y⁻¹ x.1 j.2.1 * D⁻¹ x.2 j.2.2)) =
(∑ x : κ, E (s,j.1) x * Y⁻¹ x j.2.1) * D⁻¹ b j.2.2
simp [Fintype.sum_prod_type, Matrix.one_apply, ← mul_assoc, Finset.sum_mul]
· change ∑ x : κ × β, (Y i x.1 * C j.1 x.2) * (Y⁻¹ x.1 j.2.1 * D⁻¹ x.2 j.2.2) = _
have hh : (Y ⊗ₖ C) * (Y⁻¹ ⊗ₖ D⁻¹) = (1 : Matrix κ κ ℂ) ⊗ₖ (C * D⁻¹) := by
rw [← Matrix.mul_kronecker_mul, Matrix.mul_nonsing_inv _ ((Matrix.isUnit_iff_isUnit_det Y).mp hY)]
exact congrFun (congrFun hh (i,j.1)) j.2
/-- Ordinary matrix row spaces are unchanged by an invertible row multiplier. -/
theorem span_rows_unit_mul {δ : Type} (V : Matrix σ σ ℂ) (R : Matrix σ δ ℂ)
(hV : IsUnit V) :
Submodule.span ℂ (Set.range (V * R)) = Submodule.span ℂ (Set.range R) := by
have le_mul (W : Matrix σ σ ℂ) (S : Matrix σ δ ℂ) :
Submodule.span ℂ (Set.range (W * S)) ≤ Submodule.span ℂ (Set.range S) := by
apply Submodule.span_le.mpr
rintro _ ⟨i,rfl⟩
have hh : (W * S) i = ∑ j, W i j • S j := by ext j; simp [Matrix.mul_apply]
rw [hh]
exact Submodule.sum_mem _ fun j _ => Submodule.smul_mem _ _ (Submodule.subset_span ⟨j,rfl⟩)
apply le_antisymm (le_mul V R)
have hh := le_mul V⁻¹ (V * R)
rwa [← Matrix.mul_assoc, Matrix.nonsing_inv_mul _ ((Matrix.isUnit_iff_isUnit_det V).mp hV),
Matrix.one_mul] at hh
/-- Number of supported scalar positions. -/
noncomputable def nnz {δ : Type} [Fintype δ] (v : δ → ℂ) : ℕ :=
(Finset.univ.filter fun i => v i ≠ 0).card
theorem nnz_lift_one
{α : Type} {β : Type} {σ : Type} {κ : Type} [Fintype α] [Fintype β] [Fintype σ] [Fintype κ] [DecidableEq α] [DecidableEq β] [DecidableEq σ] [DecidableEq κ] (Q : Matrix σ (α × κ) ℂ) (s : σ) (b : β) :
nnz (liftRows Q (1 : Matrix β β ℂ) (s,b)) ≤ nnz (Q s) := by
classical
apply Finset.card_le_card_of_injOn (fun j : α × (κ × β) => (j.1,j.2.1))
· intro j hj
simp only [Finset.mem_coe, Finset.mem_filter, Finset.mem_univ, true_and] at hj ⊢
exact (mul_ne_zero_iff.mp hj).1
· intro j hj l hl h
simp only [Finset.mem_coe, Finset.mem_filter, Finset.mem_univ, true_and] at hj hl
have hjb : j.2.2 = b := by
have hn : (1 : Matrix β β ℂ) b j.2.2 ≠ 0 := (mul_ne_zero_iff.mp hj).2
simpa [Matrix.one_apply, eq_comm] using hn
have hlb : l.2.2 = b := by
have hn : (1 : Matrix β β ℂ) b l.2.2 ≠ 0 := (mul_ne_zero_iff.mp hl).2
simpa [Matrix.one_apply, eq_comm] using hn
exact Prod.ext (congrArg (fun z : α × κ => z.1) h) (Prod.ext (congrArg (fun z : α × κ => z.2) h) (hjb.trans hlb.symm))
theorem nnz_fresh
{α : Type} {β : Type} {κ : Type} [Fintype α] [Fintype β] [Fintype κ] [DecidableEq α] [DecidableEq β] [DecidableEq κ] (T : Matrix α β ℂ) (i : κ) :
nnz (freshRows T i) ≤ Fintype.card α * Fintype.card β := by
classical
rw [← Fintype.card_prod]
apply Finset.card_le_card_of_injOn (t := Finset.univ) (fun j : α × (κ × β) => (j.1,j.2.2))
· intro j hj; exact Finset.mem_univ _
· intro j hj l hl h
simp only [Finset.mem_coe, Finset.mem_filter, Finset.mem_univ, true_and] at hj hl
have hji : j.2.1 = i := by
have hn : (1 : Matrix κ κ ℂ) i j.2.1 ≠ 0 := (mul_ne_zero_iff.mp hj).1
simpa [Matrix.one_apply, eq_comm] using hn
have hli : l.2.1 = i := by
have hn : (1 : Matrix κ κ ℂ) i l.2.1 ≠ 0 := (mul_ne_zero_iff.mp hl).1
simpa [Matrix.one_apply, eq_comm] using hn
exact Prod.ext (congrArg (fun z : α × β => z.1) h) (Prod.ext (hji.trans hli.symm) (congrArg (fun z : α × β => z.2) h))
theorem nnz_nextRows (Q : Matrix σ (α × κ) ℂ) (T : Matrix α β ℂ)
(hQ : ∀ s, nnz (Q s) ≤ Fintype.card α * Fintype.card β) :
∀ s, nnz (nextRows Q T (1 : Matrix β β ℂ) s) ≤ Fintype.card α * Fintype.card β := by
rintro (⟨s,b⟩|i)
· exact (nnz_lift_one Q s b).trans (hQ s)
· exact nnz_fresh T i
end ExactFourier.Triangular
end
section
namespace ExactFourier.Triangular
open scoped Kronecker BigOperators
open TensorTools
/-- Recursive axis/fiber indexing; no extra workspace is introduced. -/
abbrev Bottom (β : Type) : ℕ → Type
| 0 => PUnit
| k+1 => Bottom β k × β
abbrev Calls (β : Type) : ℕ → Type
| 0 => PEmpty
| k+1 => (Calls β k × β) ⊕ Bottom β k
@[reducible] noncomputable instance bottomFintype (β : Type) [Fintype β] : (k : ℕ) → Fintype (Bottom β k)
| 0 => inferInstanceAs (Fintype PUnit)
| k+1 => letI := bottomFintype β k; inferInstanceAs (Fintype (Bottom β k × β))
@[reducible] noncomputable instance callsFintype (β : Type) [Fintype β] : (k : ℕ) → Fintype (Calls β k)
| 0 => inferInstanceAs (Fintype PEmpty)
| k+1 => letI := callsFintype β k; inferInstanceAs (Fintype ((Calls β k × β) ⊕ Bottom β k))
@[reducible] instance bottomDecidableEq (β : Type) [DecidableEq β] : (k : ℕ) → DecidableEq (Bottom β k)
| 0 => inferInstanceAs (DecidableEq PUnit)
| k+1 => letI := bottomDecidableEq β k; inferInstanceAs (DecidableEq (Bottom β k × β))
@[reducible] instance callsDecidableEq (β : Type) [DecidableEq β] : (k : ℕ) → DecidableEq (Calls β k)
| 0 => inferInstanceAs (DecidableEq PEmpty)
| k+1 => letI := callsDecidableEq β k; inferInstanceAs (DecidableEq ((Calls β k × β) ⊕ Bottom β k))
variable {α β : Type} [Fintype α] [Fintype β] [DecidableEq α] [DecidableEq β]
@[simp] theorem bottom_card_zero
{β : Type} [Fintype β] [DecidableEq β] : Fintype.card (Bottom β 0) = 1 := by simp [Bottom]
@[simp] theorem calls_card_zero
{β : Type} [Fintype β] [DecidableEq β] : Fintype.card (Calls β 0) = 0 := by simp [Calls]
@[simp] theorem bottom_card_succ
{β : Type} [Fintype β] [DecidableEq β] (k : ℕ) :
Fintype.card (Bottom β (k+1)) = Fintype.card (Bottom β k) * Fintype.card β := by
simp only [Bottom, Fintype.card_prod]
@[simp] theorem calls_card_succ
{β : Type} [Fintype β] [DecidableEq β] (k : ℕ) :
Fintype.card (Calls β (k+1)) = Fintype.card (Calls β k) * Fintype.card β + Fintype.card (Bottom β k) := by
simp only [Calls, Fintype.card_sum, Fintype.card_prod]
theorem calls_card_relation (k : ℕ) :
Fintype.card (Calls β k) * Fintype.card β = k * Fintype.card (Bottom β k) := by
induction k with
| zero => simp
| succ k ih => rw [calls_card_succ, bottom_card_succ]; nlinarith
theorem bottom_card_pos (hβ : 0 < Fintype.card β) (k : ℕ) : 0 < Fintype.card (Bottom β k) := by
induction k with
| zero => simp
| succ k ih => rw [bottom_card_succ]; exact Nat.mul_pos ih hβ
noncomputable def tensorPower (D : Matrix β β ℂ) : (k : ℕ) → Matrix (Bottom β k) (Bottom β k) ℂ
| 0 => 1
| k+1 => tensorPower D k ⊗ₖ D
noncomputable def contamination (C : Matrix α β ℂ) (D : Matrix β β ℂ) :
(k : ℕ) → Matrix (Calls β k × α) (Bottom β k) ℂ
| 0 => 0
| k+1 => nextE (contamination C D k) (tensorPower D k) C
noncomputable def generators (C : Matrix α β ℂ) (D : Matrix β β ℂ) :
(k : ℕ) → Matrix (Calls β k) (α × Bottom β k) ℂ
| 0 => 0
| k+1 => nextRows (generators C D k) (C * D⁻¹) 1
noncomputable def rowBasis (D : Matrix β β ℂ) : (k : ℕ) → Matrix (Calls β k) (Calls β k) ℂ
| 0 => 1
| k+1 => Matrix.fromBlocks (rowBasis D k ⊗ₖ D) 0 0 1
theorem tensorPower_unit (D : Matrix β β ℂ) (hD : IsUnit D) (k : ℕ) :
IsUnit (tensorPower D k) := by
induction k with
| zero => exact isUnit_one
| succ k ih => exact unit_tensor _ _ ih hD
theorem rowBasis_unit (D : Matrix β β ℂ) (hD : IsUnit D) (k : ℕ) :
IsUnit (rowBasis D k) := by
induction k with
| zero => exact isUnit_one
| succ k ih => exact Matrix.isUnit_fromBlocks_zero₂₁.mpr ⟨unit_tensor _ _ ih hD,isUnit_one⟩
theorem rowBasis_normalizes (C : Matrix α β ℂ) (D : Matrix β β ℂ)
(hD : IsUnit D) (k : ℕ) :
rowBasis D k * flat (contamination C D k * (tensorPower D k)⁻¹) = generators C D k := by
induction k with
| zero => ext i j; exact PEmpty.elim i
| succ k ih =>
change Matrix.fromBlocks (rowBasis D k ⊗ₖ D) 0 0 1 *
flat (nextE (contamination C D k) (tensorPower D k) C * (tensorPower D k ⊗ₖ D)⁻¹) = _
rw [flat_next_normalized _ _ _ _ (tensorPower_unit D hD k), nextRows_change _ _ _ _ hD, ih]
rfl
theorem generators_sparse (C : Matrix α β ℂ) (D : Matrix β β ℂ) (k : ℕ) :
∀ i, nnz (generators C D k i) ≤ Fintype.card α * Fintype.card β := by
induction k with
| zero => intro i; exact PEmpty.elim i
| succ k ih => exact nnz_nextRows _ _ ih
theorem tensorPower_price (p : MatrixPrice) (D : Matrix β β ℂ) (hD : IsUnit D) (k : ℕ) :
p.value (tensorPower D k) = Fintype.card (Calls β k) * p.value D := by
induction k with
| zero => simp [tensorPower]
| succ k ih =>
rw [tensorPower, p.tensor _ _ (tensorPower_unit D hD k) hD, ih, calls_card_succ]
push_cast
ring
theorem experiment_price (p : MatrixPrice) (M : Matrix α α ℂ) (C : Matrix α β ℂ)
(D : Matrix β β ℂ) (hM : IsUnit M) (hD : IsUnit D) (k : ℕ) :
p.value (Matrix.fromBlocks ((1 : Matrix (Calls β k) (Calls β k) ℂ) ⊗ₖ M)
(contamination C D k) 0 (tensorPower D k)) ≤
Fintype.card (Calls β k) * p.value (Matrix.fromBlocks M C 0 D) := by
induction k with
| zero =>
have h : ((1 : Matrix (Calls β 0) (Calls β 0) ℂ) ⊗ₖ M) = 1 := by
ext i j; exact PEmpty.elim i.1
simp only [contamination, tensorPower, h]
rw [p.directSum _ _ isUnit_one isUnit_one, p.one, p.one]
norm_num
| succ k ih =>
calc
_ ≤ Fintype.card β * p.value (Matrix.fromBlocks ((1 : Matrix (Calls β k) (Calls β k) ℂ) ⊗ₖ M)
(contamination C D k) 0 (tensorPower D k)) +
Fintype.card (Bottom β k) * p.value (Matrix.fromBlocks M C 0 D) :=
next_price p M C D _ _ hM hD (tensorPower_unit D hD k)
_ ≤ Fintype.card β * (Fintype.card (Calls β k) * p.value (Matrix.fromBlocks M C 0 D)) +
Fintype.card (Bottom β k) * p.value (Matrix.fromBlocks M C 0 D) :=
add_le_add (mul_le_mul_of_nonneg_left ih (Nat.cast_nonneg _)) le_rfl
_ = _ := by rw [calls_card_succ]; push_cast; ring
end ExactFourier.Triangular
end
section
namespace ExactFourier.Triangular
open scoped Kronecker BigOperators
open TensorTools
variable {α σ κ : Type} [Fintype α] [Fintype σ] [Fintype κ]
[DecidableEq α] [DecidableEq σ] [DecidableEq κ]
theorem flat_left
{α : Type} {σ : Type} {κ : Type} [Fintype α] [Fintype σ] [Fintype κ] [DecidableEq α] [DecidableEq σ] [DecidableEq κ] (V : Matrix σ σ ℂ) (E : Matrix (σ × α) κ ℂ) :
flat ((V ⊗ₖ (1 : Matrix α α ℂ)) * E) = V * flat E := by
ext s j
simp [flat, Matrix.mul_apply, Matrix.kroneckerMap_apply, Fintype.sum_prod_type, Matrix.one_apply]
theorem nnz_flat
{α : Type} {σ : Type} {κ : Type} [Fintype α] [Fintype σ] [Fintype κ] [DecidableEq α] [DecidableEq σ] [DecidableEq κ] (E : Matrix (σ × α) κ ℂ) :
nnz (fun ij : (σ × α) × κ => E ij.1 ij.2) = ∑ s, nnz (flat E s) := by
change nnz (fun ij : (σ × α) × κ => E ij.1 ij.2) =
∑ s, nnz (fun j : α × κ => E (s,j.1) j.2)
change (σ × α) → κ → ℂ at E
simp only [nnz, Finset.card_eq_sum_ones, Finset.sum_filter, Fintype.sum_prod_type]
theorem nnz_selected_le
{σ : Type} [Fintype σ] [DecidableEq σ] {δ : Type} [Fintype δ] (R : Matrix σ δ ℂ)
(I : Finset σ) (B : ℕ) (hzero : ∀ i, i ∉ I → R i = 0)
(hB : ∀ i ∈ I, nnz (R i) ≤ B) :
∑ i, nnz (R i) ≤ I.card * B := by
classical
calc
_ = ∑ i ∈ I, nnz (R i) := by
symm
apply Finset.sum_subset (Finset.subset_univ I)
intro i hi hn
simp [hzero i hn, nnz]
_ ≤ ∑ _i ∈ I, B := Finset.sum_le_sum hB
_ = _ := by simp
theorem cancellation_identity (M : Matrix α α ℂ) (E : Matrix (σ × α) κ ℂ)
(Y : Matrix κ κ ℂ) (V : Matrix σ σ ℂ) (hY : IsUnit Y) :
rectangularShear (-((V ⊗ₖ (1 : Matrix α α ℂ)) * (E * Y⁻¹))) *
Matrix.fromBlocks (V ⊗ₖ (1 : Matrix α α ℂ)) 0 0 (1 : Matrix κ κ ℂ) *
Matrix.fromBlocks ((1 : Matrix σ σ ℂ) ⊗ₖ M) E 0 Y =
Matrix.fromBlocks (V ⊗ₖ M) 0 0 Y := by
simp only [rectangularShear, Matrix.fromBlocks_multiply, Matrix.one_mul, Matrix.mul_one,
Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add]
rw [← Matrix.mul_kronecker_mul, Matrix.mul_one, Matrix.one_mul]
congr 1
rw [Matrix.neg_mul, Matrix.mul_assoc, Matrix.mul_assoc,
Matrix.nonsing_inv_mul _ ((Matrix.isUnit_iff_isUnit_det Y).mp hY), Matrix.mul_one]
exact add_neg_cancel _
theorem compressed_price (p : MatrixPrice) (M : Matrix α α ℂ)
(E : Matrix (σ × α) κ ℂ) (Y : Matrix κ κ ℂ)
(hM : IsUnit M) (hY : IsUnit Y) {γ : Type} (Q : γ → α × κ → ℂ)
(hspan : Submodule.span ℂ (Set.range (flat (E * Y⁻¹))) = Submodule.span ℂ (Set.range Q))
(B : ℕ) (hQ : ∀ g, nnz (Q g) ≤ B) :
Fintype.card σ * p.value M + p.value Y ≤
p.value (Matrix.fromBlocks ((1 : Matrix σ σ ℂ) ⊗ₖ M) E 0 Y) +
(Fintype.card α * Fintype.card κ : ℝ) * B := by
obtain ⟨V,hV,I,hI,hzero,hbasis⟩ := RowCompression.sparse_row_compression
(flat (E * Y⁻¹)) Q hspan
let G := (V ⊗ₖ (1 : Matrix α α ℂ)) * (E * Y⁻¹)
have hGn : nnz (fun ij : (σ × α) × κ => G ij.1 ij.2) ≤ I.card * B := by
rw [nnz_flat, flat_left]
apply nnz_selected_le _ I B hzero
intro i hi
obtain ⟨g,hg⟩ := hbasis i hi
rw [hg]
exact hQ g
have hG : p.value (rectangularShear G) ≤
(Fintype.card α * Fintype.card κ : ℝ) * B := by
have hh := p.rectangularShear_sparse G
change p.value (rectangularShear G) ≤ (nnz (fun ij : (σ × α) × κ => G ij.1 ij.2) : ℝ) at hh
have hc : nnz (fun ij : (σ × α) × κ => G ij.1 ij.2) ≤
(Fintype.card α * Fintype.card κ) * B :=
hGn.trans (Nat.mul_le_mul_right B (by simpa using hI))
exact hh.trans (by exact_mod_cast hc)
have hL : IsUnit (Matrix.fromBlocks (V ⊗ₖ (1 : Matrix α α ℂ)) 0 0 (1 : Matrix κ κ ℂ)) :=
Matrix.isUnit_fromBlocks_zero₂₁.mpr ⟨unit_tensor _ _ hV isUnit_one,isUnit_one⟩
have hT : IsUnit (Matrix.fromBlocks ((1 : Matrix σ σ ℂ) ⊗ₖ M) E 0 Y) :=
Matrix.isUnit_fromBlocks_zero₂₁.mpr ⟨unit_tensor _ _ isUnit_one hM,hY⟩
have hh := p.mul_le
(rectangularShear (-G) * Matrix.fromBlocks (V ⊗ₖ (1 : Matrix α α ℂ)) 0 0 (1 : Matrix κ κ ℂ))
(Matrix.fromBlocks ((1 : Matrix σ σ ℂ) ⊗ₖ M) E 0 Y)
((rectangularShear_unit _).mul hL) hT
have hl := p.mul_le (rectangularShear (-G))
(Matrix.fromBlocks (V ⊗ₖ (1 : Matrix α α ℂ)) 0 0 (1 : Matrix κ κ ℂ))
(rectangularShear_unit _) hL
rw [show rectangularShear (-G) *
Matrix.fromBlocks (V ⊗ₖ (1 : Matrix α α ℂ)) 0 0 (1 : Matrix κ κ ℂ) *
Matrix.fromBlocks ((1 : Matrix σ σ ℂ) ⊗ₖ M) E 0 Y =
Matrix.fromBlocks (V ⊗ₖ M) 0 0 Y from cancellation_identity M E Y V hY,
p.directSum _ _ (unit_tensor _ _ hV hM) hY, p.tensor _ _ hV hM] at hh
rw [p.identity_pad _ (unit_tensor _ _ hV isUnit_one), p.tensor _ _ hV isUnit_one,
p.one, mul_zero, add_zero, p.rectangularShear_neg] at hl
linarith
end ExactFourier.Triangular
end
end OAI