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import OAI.Computability.FourierCircuit.SparseShear
namespace OAI
section
/-! Triangular monotonicity, 05-corners:116–209. The arbitrary block-copy basis
change is paid on both sides and cancels exactly, not estimated or assumed free. -/
namespace ExactFourier
open scoped Kronecker BigOperators
open Triangular TensorTools
namespace MatrixPrice
variable (p : MatrixPrice)
variable {α β : Type} [Fintype α] [Fintype β] [DecidableEq α] [DecidableEq β]
theorem triangular_experiment_bound (M : Matrix α α ℂ) (C : Matrix α β ℂ)
(D : Matrix β β ℂ) (hM : IsUnit M) (hD : IsUnit D) (k : ℕ) :
(Fintype.card (Calls β k) : ℝ) *
(p.value M + p.value D - p.value (Matrix.fromBlocks M C 0 D)) ≤
(Fintype.card α : ℝ)^2 * Fintype.card β * Fintype.card (Bottom β k) := by
have hspan : Submodule.span ℂ (Set.range (flat (contamination C D k * (Triangular.tensorPower D k)⁻¹))) =
Submodule.span ℂ (Set.range (generators C D k)) := by
rw [← rowBasis_normalizes C D hD k]
exact (span_rows_unit_mul _ _ (rowBasis_unit D hD k)).symm
have h := compressed_price p M (contamination C D k) (Triangular.tensorPower D k) hM
(tensorPower_unit D hD k) (generators C D k) hspan
(Fintype.card α * Fintype.card β) (generators_sparse C D k)
rw [tensorPower_price p D hD k] at h
have he := experiment_price p M C D hM hD k
push_cast at h
nlinarith
/-- The literal upper block triangular conclusion, including empty blocks. -/
theorem upper_triangular (M : Matrix α α ℂ) (C : Matrix α β ℂ)
(D : Matrix β β ℂ) (hM : IsUnit M) (hD : IsUnit D) :
p.value M + p.value D ≤ p.value (Matrix.fromBlocks M C 0 D) := by
let δ := p.value M + p.value D - p.value (Matrix.fromBlocks M C 0 D)
suffices δ ≤ 0 by dsimp [δ] at this; linarith
by_cases hβ : Fintype.card β = 0
· have h := p.triangular_experiment_bound M C D hM hD 1
simpa [hβ, δ] using h
· have hβpos : 0 < Fintype.card β := Nat.pos_of_ne_zero hβ
have hb (k : ℕ) : (k : ℝ) * δ ≤ (Fintype.card α * Fintype.card β : ℝ)^2 := by
have h := p.triangular_experiment_bound M C D hM hD k
change (Fintype.card (Calls β k) : ℝ) * δ ≤ _ at h
have hh := mul_le_mul_of_nonneg_right h (Nat.cast_nonneg (Fintype.card β) : (0 : ℝ) ≤ _)
have hr : (Fintype.card (Calls β k) : ℝ) * Fintype.card β =
(k : ℝ) * Fintype.card (Bottom β k) := by exact_mod_cast calls_card_relation (β := β) k
have hrδ := congrArg (fun x : ℝ => x * δ) hr
have ht : 0 < (Fintype.card (Bottom β k) : ℝ) := by exact_mod_cast bottom_card_pos hβpos k
apply (mul_le_mul_iff_right₀ ht).mp
nlinarith only [hh, hrδ]
by_contra hn
have hd : 0 < δ := lt_of_not_ge hn
obtain ⟨k,hk⟩ := exists_nat_gt ((Fintype.card α * Fintype.card β : ℝ)^2 / δ)
have hk' := (div_lt_iff₀ hd).mp hk
exact (not_lt_of_ge (hb k)) hk'
theorem lower_triangular (M : Matrix α α ℂ) (C : Matrix β α ℂ)
(D : Matrix β β ℂ) (hM : IsUnit M) (hD : IsUnit D) :
p.value M + p.value D ≤ p.value (Matrix.fromBlocks M 0 C D) := by
have hMt : IsUnit M.transpose := (Matrix.isUnit_iff_isUnit_det _).mpr
(by simpa using (Matrix.isUnit_iff_isUnit_det _).mp hM)
have hDt : IsUnit D.transpose := (Matrix.isUnit_iff_isUnit_det _).mpr
(by simpa using (Matrix.isUnit_iff_isUnit_det _).mp hD)
have h := p.upper_triangular M.transpose C.transpose D.transpose hMt hDt
rw [p.transpose M hM, p.transpose D hD] at h
have hK : IsUnit (Matrix.fromBlocks M 0 C D) := Matrix.isUnit_fromBlocks_zero₁₂.mpr ⟨hM,hD⟩
have he : Matrix.fromBlocks M.transpose C.transpose 0 D.transpose =
(Matrix.fromBlocks M 0 C D).transpose := by ext i j; cases i <;> cases j <;> rfl
rw [he, p.transpose _ hK] at h
exact h
end MatrixPrice
end ExactFourier
end
section
/-! Exact coefficient-basis truncation, as used in the time cascade and feedback
proof on the path to the absent finite-win main theorem. Time comes first. -/
namespace ExactFourier.CoefficientTime
open scoped BigOperators Kronecker
noncomputable def truncMatrix {R : Type*} [Semiring R] (t : ℕ)
(F : PowerSeries R) : Matrix (Fin t) (Fin t) R :=
fun a b => if b.val ≤ a.val then PowerSeries.coeff (a.val-b.val) F else 0
@[simp] theorem truncMatrix_one {R : Type*} [Semiring R] (t : ℕ) :
truncMatrix t (1 : PowerSeries R) = 1 := by
ext a b
by_cases h : b.val ≤ a.val
· simp only [truncMatrix, h, ite_true, PowerSeries.coeff_one, Matrix.one_apply]
have hh : a.val-b.val = 0 ↔ a=b := by
constructor
· intro hh; exact Fin.ext (by omega)
· intro hh; subst b; omega
simp only [hh]
· have hne : a ≠ b := by intro he; subst b; omega
simp [truncMatrix, h, hne]
@[simp] theorem truncMatrix_zero {R : Type*} [Semiring R] (t : ℕ) :
truncMatrix t (0 : PowerSeries R) = 0 := by
ext a b
simp [truncMatrix]
@[simp] theorem truncMatrix_add {R : Type*} [Semiring R] (t : ℕ)
(F G : PowerSeries R) : truncMatrix t (F+G) = truncMatrix t F + truncMatrix t G := by
ext a b
by_cases h : b.val ≤ a.val <;> simp [truncMatrix, h]
theorem truncMatrix_mul {R : Type*} [Semiring R] (t : ℕ)
(F G : PowerSeries R) : truncMatrix t (F*G) = truncMatrix t F * truncMatrix t G := by
classical
ext a b
simp only [truncMatrix, Matrix.mul_apply]
by_cases hab : b.val ≤ a.val
· rw [ite_eq_left hab, PowerSeries.coeff_mul]
let S : Finset (Fin t) := Finset.univ.filter (fun k => b.val ≤ k.val ∧ k.val ≤ a.val)
have hs : (∑ k : Fin t,
(if k.val ≤ a.val then PowerSeries.coeff (a.val-k.val) F else 0) *
(if b.val ≤ k.val then PowerSeries.coeff (k.val-b.val) G else 0)) =
∑ k ∈ S, PowerSeries.coeff (a.val-k.val) F * PowerSeries.coeff (k.val-b.val) G := by
rw [Finset.sum_filter]
apply Finset.sum_congr rfl
intro k hk
by_cases h₁ : k.val ≤ a.val <;> by_cases h₂ : b.val ≤ k.val <;> simp [h₁, h₂]
rw [hs]
symm
apply Finset.sum_bij (fun k _ => (a.val-k.val, k.val-b.val))
· intro k hk
have hk' : b.val ≤ k.val ∧ k.val ≤ a.val := (Finset.mem_filter.mp hk).2
simp only [Finset.HasAntidiagonal.mem_antidiagonal]
omega
· intro k hk l hl hkl
have hk' := (Finset.mem_filter.mp hk).2
have hl' := (Finset.mem_filter.mp hl).2
have he := congrArg Prod.snd hkl
apply Fin.ext
dsimp at he
omega
· intro p hp
have hp' : p.1+p.2 = a.val-b.val := Finset.HasAntidiagonal.mem_antidiagonal.mp hp
have hkt : b.val+p.2 < t := by have := a.isLt; omega
refine ⟨⟨b.val+p.2, hkt⟩, ?_, ?_⟩
· simp only [S, Finset.mem_filter, Finset.mem_univ, true_and]
constructor <;> omega
· apply Prod.ext
· change a.val - (b.val + p.2) = p.1; omega
· change b.val + p.2 - b.val = p.2; omega
· intro k hk
rfl
· rw [ite_eq_right hab]
symm
apply Finset.sum_eq_zero
intro k hk
by_cases h : k.val ≤ a.val
· have h' : ¬b.val ≤ k.val := by omega
simp [h, h']
· simp [h]
/-- Multiplication modulo z^t in the coefficient basis is a literal ring homomorphism. -/
noncomputable def truncHom {R : Type*} [Semiring R] (t : ℕ) :
PowerSeries R →+* Matrix (Fin t) (Fin t) R where
toFun := truncMatrix t
map_zero' := truncMatrix_zero t
map_one' := truncMatrix_one t
map_add' := truncMatrix_add t
map_mul' := truncMatrix_mul t
/-- Repeated invertible constant term makes the time coefficient matrix invertible. -/
theorem trunc_isUnit {R : Type*} [Ring R] (t : ℕ) (F : PowerSeries R)
(hF : IsUnit (PowerSeries.constantCoeff F)) : IsUnit (truncMatrix t F) :=
(PowerSeries.isUnit_iff_constantCoeff.mpr hF).map (truncHom t)
noncomputable def blockTruncHom {ι : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ) :
Matrix ι ι (PowerSeries ℂ) →+* Matrix (Fin t × ι) (Fin t × ι) ℂ :=
(Matrix.reindexRingEquiv ℂ (Equiv.prodComm ι (Fin t))).toRingHom.comp
((Matrix.compRingEquiv ι (Fin t) ℂ).toRingHom.comp (truncHom t).mapMatrix)
@[simp] theorem blockTruncHom_apply {ι : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ)
(F : Matrix ι ι (PowerSeries ℂ)) (a b : Fin t × ι) :
blockTruncHom t F a b =
if b.1.val ≤ a.1.val then PowerSeries.coeff (a.1.val-b.1.val) (F a.2 b.2) else 0 := rfl
theorem blockTrunc_isUnit {ι : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ)
(F : Matrix ι ι (PowerSeries ℂ))
(hF : IsUnit (F.map PowerSeries.constantCoeff)) :
IsUnit (blockTruncHom t F) := by
apply IsUnit.map (f := blockTruncHom t)
apply (Matrix.isUnit_iff_isUnit_det _).mpr
apply PowerSeries.isUnit_iff_constantCoeff.mpr
rw [RingHom.map_det]
exact (Matrix.isUnit_iff_isUnit_det _).mp hF
theorem coeff_mul_truncated {R : Type*} [Semiring R] {t : ℕ}
(F G : PowerSeries R) (a : Fin t) :
PowerSeries.coeff a.val (F*G) = ∑ k : Fin t,
(if k.val ≤ a.val then PowerSeries.coeff (a.val-k.val) F else 0) *
PowerSeries.coeff k.val G := by
have ht : 0<t := Nat.zero_lt_of_lt a.isLt
have h := congrFun (congrFun (truncMatrix_mul t F G) a) (⟨0, ht⟩ : Fin t)
simpa only [truncMatrix, Nat.zero_le, ite_true, Nat.sub_zero, Matrix.mul_apply] using h
noncomputable def coefficientColumns {ι κ : Type*} (t : ℕ)
(V : Matrix ι κ (PowerSeries ℂ)) : Matrix (Fin t × ι) κ ℂ :=
fun a b => PowerSeries.coeff a.1.val (V a.2 b)
/-- A matrix series acts on vectors of truncated coefficients by the literal
coefficient product. This is the state-response and boundary-quotient interface. -/
theorem blocks_mul_columns {ι κ : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ)
(F : Matrix ι ι (PowerSeries ℂ)) (V : Matrix ι κ (PowerSeries ℂ)) :
blockTruncHom t F * coefficientColumns t V = coefficientColumns t (F*V) := by
classical
ext a b
simp only [Matrix.mul_apply, blockTruncHom_apply, coefficientColumns,
Fintype.sum_prod_type, map_sum, coeff_mul_truncated _ _ a.1]
rw [Finset.sum_comm]
/-- The scalar Toeplitz factor acts identically on every spatial coordinate. -/
theorem blockTrunc_scalar {ι : Type*} [Fintype ι] [DecidableEq ι] (t : ℕ)
(f : PowerSeries ℂ) :
blockTruncHom t (Matrix.scalar ι f) = truncMatrix t f ⊗ₖ (1 : Matrix ι ι ℂ) := by
classical
ext a b
simp only [blockTruncHom_apply, Matrix.scalar_apply, truncMatrix, Matrix.kroneckerMap_apply]
by_cases hab : b.1.val ≤ a.1.val <;> by_cases hij : a.2 = b.2 <;>
simp [Matrix.diagonal, Matrix.one_apply, hab, hij]
/-- The scalar prefix change of basis leaves the suffix literally fixed. Its
prefix-to-suffix block is zero because the convolution is lower triangular. -/
noncomputable def prefixScalar (t T : ℕ) (f : PowerSeries ℂ) :
Matrix (Fin t) (Fin t) ℂ := fun a b =>
if a.val < T then truncMatrix t f a b else (1 : Matrix (Fin t) (Fin t) ℂ) a b
@[simp] theorem prefixScalar_one (t T : ℕ) :
prefixScalar t T 1 = 1 := by
ext a b
simp [prefixScalar]
@[simp] theorem prefixScalar_mul (t T : ℕ) (f g : PowerSeries ℂ) :
prefixScalar t T (f*g) = prefixScalar t T f * prefixScalar t T g := by
classical
ext a b
by_cases ha : a.val < T
· simp only [prefixScalar, ha, ite_true, Matrix.mul_apply]
rw [truncMatrix_mul, Matrix.mul_apply]
apply Finset.sum_congr rfl
intro k hk
by_cases hkT : k.val < T
· simp [hkT]
· have hak : ¬ k.val ≤ a.val := by omega
simp [hkT, truncMatrix, hak]
· simp only [prefixScalar, ha, ite_false, Matrix.mul_apply]
change (1 : Matrix (Fin t) (Fin t) ℂ) a b = ((1 : Matrix (Fin t) (Fin t) ℂ) * prefixScalar t T g) a b
rw [Matrix.one_mul]
simp [prefixScalar, ha]
theorem prefixScalar_isUnit (t T : ℕ) (f : PowerSeries ℂ)
(hf : IsUnit (PowerSeries.constantCoeff f)) : IsUnit (prefixScalar t T f) := by
obtain ⟨u, hu⟩ := PowerSeries.isUnit_iff_constantCoeff.mpr hf
subst f
refine ⟨⟨prefixScalar t T (u : PowerSeries ℂ), prefixScalar t T (↑u⁻¹ : PowerSeries ℂ), ?_, ?_⟩, rfl⟩
· rw [← prefixScalar_mul]; simp
· rw [← prefixScalar_mul]; simp
/-- On an early row the partial scalar convolution is a full coefficient
convolution; on a late row it leaves the original series coefficient unchanged. -/
theorem prefix_mul_columns {ι κ : Type*} [Fintype ι] [DecidableEq ι]
(t T : ℕ) (f : PowerSeries ℂ) (V : Matrix ι κ (PowerSeries ℂ))
(a : Fin t × ι) (b : κ) :
((prefixScalar t T f ⊗ₖ (1 : Matrix ι ι ℂ)) * coefficientColumns t V) a b =
if a.1.val < T then PowerSeries.coeff a.1.val (f * V a.2 b)
else PowerSeries.coeff a.1.val (V a.2 b) := by
classical
simp only [Matrix.mul_apply, Matrix.kroneckerMap_apply, coefficientColumns,
Fintype.sum_prod_type]
simp only [Matrix.one_apply, mul_ite, mul_one, mul_zero, ite_mul, zero_mul]
simp only [Finset.sum_ite_eq, Finset.mem_univ, ite_true]
by_cases ha : a.1.val < T
· simp only [ha, ite_true, prefixScalar]
symm
exact coeff_mul_truncated f (V a.2 b) a.1
· simp only [ha, ite_false, prefixScalar, Matrix.one_apply]
simp
theorem zero_prefix_columns_mul {ι : Type*} [Fintype ι] [DecidableEq ι]
(t T : ℕ) (f : PowerSeries ℂ) (S : Matrix (Fin t × ι) (Fin t × ι) ℂ)
(hS : ∀ a b, b.1.val < T → S a b = 0) :
S * (prefixScalar t T f ⊗ₖ (1 : Matrix ι ι ℂ)) = S := by
classical
have h : S * (prefixScalar t T f ⊗ₖ (1 : Matrix ι ι ℂ)) =
S * ((1 : Matrix (Fin t) (Fin t) ℂ) ⊗ₖ (1 : Matrix ι ι ℂ)) := by
ext a b
simp only [Matrix.mul_apply, Matrix.kroneckerMap_apply]
apply Finset.sum_congr rfl
intro k hk
by_cases hkT : k.1.val < T
· rw [hS a k hkT]
simp
· simp [prefixScalar, hkT]
simpa using h
end ExactFourier.CoefficientTime
end
section
namespace ExactFourier
open scoped BigOperators
open TensorTools
def timeSplit (t : ℕ) (α : Type) : (Fin (t+1) × α) ≃ α ⊕ (Fin t × α) where
toFun x := Fin.cases (Sum.inl x.2) (fun i => Sum.inr (i,x.2)) x.1
invFun := Sum.elim (fun a => (0,a)) (fun x => (x.1.succ,x.2))
left_inv := by
rintro ⟨i,a⟩
refine Fin.cases ?_ (fun j => ?_) i <;> rfl
right_inv := by rintro (a|⟨i,a⟩) <;> rfl
namespace MatrixPrice
variable (p : MatrixPrice) {α : Type} [Fintype α] [DecidableEq α]
theorem blocks_lower (t : ℕ) (F : Matrix (Fin t × α) (Fin t × α) ℂ)
(A : Fin t → Matrix α α ℂ) (hA : ∀ i, IsUnit (A i))
(hdiag : ∀ i a b, F (i,a) (i,b) = A i a b)
(hbelow : ∀ i j a b, i < j → F (i,a) (j,b) = 0) :
IsUnit F ∧ (∑ i, p.value (A i)) ≤ p.value F := by
induction t with
| zero =>
have hF : F = 1 := by ext i j; exact Fin.elim0 i.1
rw [hF, p.one]
exact ⟨isUnit_one, by simp⟩
| succ t ih =>
let D : Matrix (Fin t × α) (Fin t × α) ℂ := fun i j => F (i.1.succ,i.2) (j.1.succ,j.2)
let C : Matrix (Fin t × α) α ℂ := fun i a => F (i.1.succ,i.2) (0,a)
obtain ⟨hD,hprice⟩ := ih D (fun i => A i.succ) (fun i => hA i.succ)
(fun i a b => hdiag i.succ a b)
(fun i j a b hij => hbelow i.succ j.succ a b (by simpa using hij))
have he : Matrix.reindex (timeSplit t α) (timeSplit t α) F =
Matrix.fromBlocks (A 0) 0 C D := by
ext i j
rcases i with a|⟨i,a⟩ <;> rcases j with b|⟨j,b⟩
· exact hdiag 0 a b
· exact hbelow 0 j.succ a b (by simp)
· rfl
· rfl
have hK : IsUnit (Matrix.fromBlocks (A 0) 0 C D) :=
Matrix.isUnit_fromBlocks_zero₁₂.mpr ⟨hA 0,hD⟩
have hF : IsUnit F := by
have hh : IsUnit ((Matrix.reindexAlgEquiv ℂ ℂ (timeSplit t α)) F) := by
change IsUnit (Matrix.reindex (timeSplit t α) (timeSplit t α) F)
rw [he]
exact hK
have hh' := hh.map (Matrix.reindexAlgEquiv ℂ ℂ (timeSplit t α)).symm.toMonoidHom
change IsUnit ((Matrix.reindexAlgEquiv ℂ ℂ (timeSplit t α)).symm
((Matrix.reindexAlgEquiv ℂ ℂ (timeSplit t α)) F)) at hh'
simpa only [AlgEquiv.symm_apply_apply] using hh'
refine ⟨hF, ?_⟩
have hb := p.lower_triangular (A 0) C D (hA 0) hD
rw [← he, p.reindex _ _ hF] at hb
rw [Fin.sum_univ_succ]
linarith
theorem trunc_lower_bound (t : ℕ) (F : Matrix α α (PowerSeries ℂ))
(hF : IsUnit (F.map PowerSeries.constantCoeff)) :
(t : ℝ) * p.value (F.map PowerSeries.constantCoeff) ≤
p.value (CoefficientTime.blockTruncHom t F) := by
have h := p.blocks_lower t (CoefficientTime.blockTruncHom t F)
(fun _ => F.map PowerSeries.constantCoeff) (fun _ => hF)
(by intro i a b; simp [CoefficientTime.blockTruncHom_apply])
(by intro i j a b hij; simp [CoefficientTime.blockTruncHom_apply, not_le.mpr hij])
simpa using h.2
end MatrixPrice
end ExactFourier
end
end OAI