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import OAI.Computability.FourierCircuit.SparseSpectral
namespace OAI
section
noncomputable section
namespace ExactFourier.GraphReflection
variable {α : Type} [Fintype α] [DecidableEq α]
theorem block_relations (B E F G H : Matrix α α ℂ) (hB : IsUnit B)
(hp : graph B*(1+Matrix.fromBlocks E F G H)=1+Matrix.fromBlocks E F G H)
(hm : (graph B).transpose*(1-Matrix.fromBlocks E F G H)=-(1-Matrix.fromBlocks E F G H)) :
B*G=1+E ∧ B*(1+H)=F ∧ B.transpose*F=1-H ∧ B.transpose*(1-E)=G := by
obtain ⟨unit, rfl⟩ := hB
have h1 := congrArg Matrix.toBlocks₁₁ hp
have h2 := congrArg Matrix.toBlocks₁₂ hp
have h3 := congrArg Matrix.toBlocks₂₂ hm
have h4 := congrArg Matrix.toBlocks₂₁ hm
simp only [graph,← Matrix.fromBlocks_one,sub_eq_add_neg,Matrix.fromBlocks_add,
Matrix.fromBlocks_transpose,Matrix.fromBlocks_neg,Matrix.fromBlocks_multiply,
Matrix.toBlocks_fromBlocks₁₁,Matrix.toBlocks_fromBlocks₁₂,Matrix.toBlocks_fromBlocks₂₁,Matrix.toBlocks_fromBlocks₂₂,
Matrix.transpose_zero,zero_mul,zero_add,add_zero,zero_add,mul_neg,neg_neg,neg_zero] at h1 h2 h3 h4
exact ⟨h1,h2,by simpa [sub_eq_add_neg] using neg_inj.mp h3,by simpa [sub_eq_add_neg] using h4⟩
theorem offdiagonal_unit (B E F G H : Matrix α α ℂ) (hB : IsUnit B)
(hreal : ∀ i j,star (B i j)=B i j)
(hs : (Matrix.fromBlocks E F G H).IsSymm)
(hp : graph B*(1+Matrix.fromBlocks E F G H)=1+Matrix.fromBlocks E F G H)
(hm : (graph B).transpose*(1-Matrix.fromBlocks E F G H)=-(1-Matrix.fromBlocks E F G H)) :
IsUnit F ∧ IsUnit G := by
obtain ⟨h1,h2,h3,h4⟩ := block_relations B E F G H hB hp hm
have hq := gram_unit B hreal
have he : (1+B.transpose*B)*(1+H)=(2:ℂ)•1 := by
calc
_ = 1+H+B.transpose*(B*(1+H)) := by noncomm_ring
_ = 1+H+(1-H) := by rw [h2,h3]
_ = _ := by rw [two_smul]; abel
have hhu : IsUnit (1+H) := by
have hh : 1+H=(1+B.transpose*B)⁻¹*((2:ℂ)•1) := by
apply hq.mul_left_cancel
rw [← mul_assoc,Matrix.mul_nonsing_inv _ ((Matrix.isUnit_iff_isUnit_det _).mp hq),one_mul,he]
rw [hh]
exact (Matrix.isUnit_nonsing_inv_iff.mpr hq).mul (MatrixPrice.scalar_unit _ isUnit_one 2 (by norm_num))
have hf : IsUnit F := h2 ▸ hB.mul hhu
refine ⟨hf,?_⟩
have hgf : G=F.transpose := by
have hh := congrArg Matrix.toBlocks₁₂ hs
simpa [Matrix.fromBlocks_transpose] using congrArg Matrix.transpose hh
rw [hgf]; exact (Matrix.isUnit_transpose _).mpr hf
end ExactFourier.GraphReflection
end
end
section
noncomputable section
namespace ExactFourier.GraphReflection
variable {α : Type} [Fintype α] [DecidableEq α]
theorem diagonalization (B E F G H : Matrix α α ℂ) (hB : IsUnit B) (hG : IsUnit G)
(h1 : B*G=1+E) (h2 : B*(1+H)=F) (h3 : B.transpose*F=1-H) (h4 : B.transpose*(1-E)=G) :
hadamard*(swap*Pivot.matrix F E H G)*hadamard⁻¹=
Matrix.fromBlocks B 0 0 (-B.transpose⁻¹) := by
let W : Matrix (α⊕α) (α⊕α) ℂ := Matrix.fromBlocks 1 0 H G
let Z : Matrix (α⊕α) (α⊕α) ℂ := Matrix.fromBlocks 0 1 F E
let D : Matrix (α⊕α) (α⊕α) ℂ := Matrix.fromBlocks B 0 0 (-B.transpose⁻¹)
have hBt : IsUnit B.transpose := (Matrix.isUnit_transpose _).mpr hB
have hi := Matrix.nonsing_inv_mul B.transpose ((Matrix.isUnit_iff_isUnit_det _).mp hBt)
have h3' : B.transpose⁻¹*(1-H)=F := by rw [← h3,← mul_assoc,hi,one_mul]
have h4' : B.transpose⁻¹*G=1-E := by rw [← h4,← mul_assoc,hi,one_mul]
have hW : IsUnit W := Matrix.isUnit_fromBlocks_zero₁₂.mpr ⟨isUnit_one,hG⟩
have hv : (swap*Pivot.matrix F E H G)*W=Z := by
rw [mul_assoc,Pivot.solve F E H G hG]
simp [swap,Z,Matrix.fromBlocks_multiply]
have hz : hadamard*Z=D*hadamard*W := by
dsimp only [hadamard,Z,D,W]
simp only [Matrix.fromBlocks_multiply,mul_zero,one_mul,mul_one,
zero_add,add_zero,neg_mul,mul_neg,neg_neg,neg_zero]
have hh2 : B+B*H=F := by simpa [mul_add] using h2
have hh3 : -B.transpose⁻¹+B.transpose⁻¹*H= -F := by rw [← h3',mul_sub,mul_one]; abel
have hh4 : B.transpose⁻¹*G=1-E := h4'
rw [h1,hh2,hh3,hh4]
simp [sub_eq_add_neg,add_comm]
have he : hadamard*(swap*Pivot.matrix F E H G)=D*hadamard := by
apply hW.mul_right_cancel
rw [mul_assoc,hv,hz]
rw [he,mul_assoc,Matrix.mul_nonsing_inv _ ((Matrix.isUnit_iff_isUnit_det _).mp hadamard_unit),mul_one]
theorem lower_bound_blocks (p : MatrixPrice) (B E F G H : Matrix α α ℂ) (hB : IsUnit B)
(hreal : ∀ i j,star (B i j)=B i j)
(hR : IsUnit (Matrix.fromBlocks E F G H)) (hs : (Matrix.fromBlocks E F G H).IsSymm)
(hp : graph B*(1+Matrix.fromBlocks E F G H)=1+Matrix.fromBlocks E F G H)
(hm : (graph B).transpose*(1-Matrix.fromBlocks E F G H)=-(1-Matrix.fromBlocks E F G H)) :
2*p.value B≤p.value (Matrix.fromBlocks E F G H)+8*Fintype.card α := by
obtain ⟨hF,hG⟩ := offdiagonal_unit B E F G H hB hreal hs hp hm
obtain ⟨h1,h2,h3,h4⟩ := block_relations B E F G H hB hp hm
have hS : IsUnit (swap (α := α)) := MonomialMatrix.unit _ swap_monomial
have heK : Matrix.fromBlocks E F G H*swap=Matrix.fromBlocks F E H G := by
simp [swap,Matrix.fromBlocks_multiply]
have hK : IsUnit (Matrix.fromBlocks F E H G) := heK ▸ hR.mul hS
have hpK : p.value (Matrix.fromBlocks F E H G)=p.value (Matrix.fromBlocks E F G H) := by
rw [← heK]
simpa using p.monomial _ 1 swap hR MonomialMatrix.one swap_monomial
have hP := Pivot.unit F E H G hF hG
have hV := hS.mul hP
have hpV : p.value (swap*Pivot.matrix F E H G)=p.value (Pivot.matrix F E H G) := by
simpa using p.monomial _ swap 1 hP swap_monomial MonomialMatrix.one
have hpivot := p.pivot_bound F E H G hF hG hK
rw [hpK] at hpivot
have hconj := p.conjugate_le hadamard (swap*Pivot.matrix F E H G) hadamard_unit hV
rw [diagonalization B E F G H hB hG h1 h2 h3 h4,hpV] at hconj
have hBt := (Matrix.isUnit_transpose _).mpr hB
have hBi := Matrix.isUnit_nonsing_inv_iff.mpr hBt
have hneg : p.value (-B.transpose⁻¹)=p.value B := by
rw [show -B.transpose⁻¹=(-1:ℂ)•B.transpose⁻¹ by simp,
p.scalar _ hBi _ (by norm_num),p.inverse _ hBt,p.transpose _ hB]
rw [p.directSum B (-B.transpose⁻¹) hB hBi.neg,hneg] at hconj
have hh := hadamard_price (α := α) p
linarith
end ExactFourier.GraphReflection
end
end
section
noncomputable section
namespace ExactFourier.SignedBits
open scoped Matrix Kronecker
def weight : (m : ℕ) → Bits m → ℕ
| 0, _ => 0
| m+1, .inl i => weight m i
| m+1, .inr i => weight m i+1
theorem D_weight (m : ℕ) (i j : Bits m) (h : D m i j≠0) :
weight m i=weight m j+1 := by
induction m with
| zero => exact False.elim (h rfl)
| succ m ih =>
rcases i with i|i <;> rcases j with j|j
· exact ih i j h
· exact False.elim (h rfl)
· have hij : i=j := by simpa [D,Matrix.one_apply] using h
subst j; rfl
· change weight m i+1=weight m j+1+1
change -(D m i j)≠0 at h
rw [ih i j (neg_ne_zero.mp h)]
def V : Matrix (Fin 2) (Fin 2) ℂ := !![0,-1;1,0]
def Vi : Matrix (Fin 2) (Fin 2) ℂ := !![0,1;-1,0]
def X : Matrix (Fin 2) (Fin 2) ℂ := !![0,1;1,0]
theorem ViV : Vi*V=1 := by ext i j; fin_cases i <;> fin_cases j <;> norm_num [Vi,V,Matrix.mul_apply,Fin.sum_univ_two]
theorem XX : X*X=1 := by ext i j; fin_cases i <;> fin_cases j <;> norm_num [X,Matrix.mul_apply,Fin.sum_univ_two]
theorem V_monomial : MonomialMatrix V := by
refine ⟨Equiv.swap 0 1,![1,-1],?_,?_⟩
· intro j; fin_cases j <;> norm_num
· intro i j; fin_cases i <;> fin_cases j <;> norm_num [V]
theorem Vi_monomial : MonomialMatrix Vi := by
refine ⟨Equiv.swap 0 1,![-1,1],?_,?_⟩
· intro j; fin_cases j <;> norm_num
· intro i j; fin_cases i <;> fin_cases j <;> norm_num [Vi]
theorem X_monomial : MonomialMatrix X := by
refine ⟨Equiv.swap 0 1,fun _ => 1,by simp,?_⟩
intro i j; fin_cases i <;> fin_cases j <;> norm_num [X]
def gauge (m : ℕ) : Matrix (Fin 2×Bits m) (Fin 2×Bits m) ℂ :=
Matrix.blockDiagonal (fun i => Vi^(weight m i))
def Q (m : ℕ) : Matrix (Fin 2×Bits m) (Fin 2×Bits m) ℂ := 1+V⊗ₖD m
theorem gauge_monomial (m : ℕ) : MonomialMatrix (gauge m) :=
MonomialMatrix.blockDiagonal _ (fun _ => Vi_monomial.pow _)
theorem blockDiagonal_mul_apply {α β : Type} [Fintype α] [Fintype β] [DecidableEq β]
(A : β → Matrix α α ℂ) (B : Matrix (α×β) (α×β) ℂ) (a b : α) (i j : β) :
(Matrix.blockDiagonal A*B) (a,i) (b,j)=∑ c,A i a c*B (c,i) (b,j) := by
classical
simp [Matrix.mul_apply,Fintype.sum_prod_type,Matrix.blockDiagonal_apply]
theorem mul_blockDiagonal_apply {α β : Type} [Fintype α] [Fintype β] [DecidableEq β]
(A : Matrix (α×β) (α×β) ℂ) (B : β → Matrix α α ℂ) (a b : α) (i j : β) :
(A*Matrix.blockDiagonal B) (a,i) (b,j)=∑ c,A (a,i) (c,j)*B j c b := by
classical
simp [Matrix.mul_apply,Fintype.sum_prod_type,Matrix.blockDiagonal_apply]
theorem gauge_intertwine (m : ℕ) :
gauge m*Q m=((1 : Matrix (Fin 2) (Fin 2) ℂ)⊗ₖT m)*gauge m := by
rw [Q,T,Matrix.kronecker_add,Matrix.one_kronecker_one,mul_add,add_mul,mul_one,one_mul]
congr 1
ext ⟨a,i⟩ ⟨b,j⟩
rw [gauge,blockDiagonal_mul_apply,mul_blockDiagonal_apply]
simp only [Matrix.kronecker_apply,Matrix.one_apply]
simp only [ite_mul,one_mul,zero_mul,Finset.sum_ite_eq,Finset.mem_univ,ite_true,← mul_assoc]
rw [← Finset.sum_mul]
change (Vi^weight m i*V) a b*D m i j=D m i j*(Vi^weight m j) a b
by_cases h : D m i j=0
· simp [h]
· rw [D_weight m i j h,pow_succ,mul_assoc,ViV,mul_one,mul_comm]
theorem Q_unit (m : ℕ) : IsUnit (Q m) := by
have hs : (V⊗ₖD m)*(V⊗ₖD m)=0 := by
rw [← Matrix.mul_kronecker_mul,D_square,Matrix.kronecker_zero]
rw [Q,isUnit_iff_exists_inv']
refine ⟨1-V⊗ₖD m,?_⟩
rw [sub_mul,mul_add,mul_add,one_mul,one_mul,mul_one,hs]
abel
theorem Q_price (p : MatrixPrice) (m : ℕ) : p.value (Q m)=2*p.value (T m) := by
have h := p.monomial (Q m) (gauge m) 1 (Q_unit m) (gauge_monomial m) MonomialMatrix.one
rw [mul_one,gauge_intertwine] at h
have ht := TensorTools.unit_tensor (1 : Matrix (Fin 2) (Fin 2) ℂ) (T m) isUnit_one (T_unit m)
rw [← one_mul ((1 : Matrix (Fin 2) (Fin 2) ℂ)⊗ₖT m),
p.monomial _ 1 (gauge m) ht MonomialMatrix.one (gauge_monomial m),
p.tensor _ _ isUnit_one (T_unit m),p.one,mul_zero,zero_add] at h
norm_num at h
exact h.symm
end ExactFourier.SignedBits
end
end
section
noncomputable section
namespace ExactFourier.SignedBits
open scoped Matrix Kronecker
theorem Gamma_Q (m : ℕ) : Gamma m=Matrix.reindex (twoProdEquiv (Bits m)) (twoProdEquiv (Bits m))
((X⊗ₖ(1 : Matrix (Bits m) (Bits m) ℂ))*Q m) := by
rw [Q,mul_add,mul_one,← Matrix.mul_kronecker_mul,one_mul]
ext i j; rcases i with i|i <;> rcases j with j|j <;>
simp [Gamma,Matrix.reindex_apply,twoProdEquiv,X,V
]
theorem Gamma_price (p : MatrixPrice) (m : ℕ) :
p.value (Gamma m)=(m:ℝ)*2^m := by
have hx := X_monomial.tensor (MonomialMatrix.one (ι := Bits m))
have hxu := MonomialMatrix.unit _ hx
rw [Gamma_Q,p.reindex _ _ (hxu.mul (Q_unit m))]
have hh := p.monomial (Q m) (X⊗ₖ(1 : Matrix (Bits m) (Bits m) ℂ)) 1
(Q_unit m) hx MonomialMatrix.one
rw [mul_one] at hh
rw [hh,Q_price,price]
end ExactFourier.SignedBits
end
end
section
noncomputable section
namespace ExactFourier
open SignedBits
open scoped Kronecker
theorem reflection_inequality (p : MatrixPrice) (m : ℕ) :
(m:ℝ)*(2^(m+1))^2≤(3:ℝ)/4*(2*((m+2)*2^m)*2^(m+1))+6*(2^(m+1))^2 := by
let G := Gamma m
let J₀ := J (m+1) false
obtain ⟨s,hs,hJs⟩ := J_sign (m+1) false
obtain ⟨R,hR,hRs,hRp,hRm,hRc⟩ := SymLap.exists_tensor_reflection p G J₀
(Gamma_square m) (J_monomial (m+1) false) s hs hJs (Gamma_symmetry m)
(Gamma_star m) (J_star (m+1) false)
let e := tensorParityEquiv m
let R' := R.submatrix e e
have hRu : IsUnit R := isUnit_iff_exists_inv'.mpr ⟨R,hR⟩
have hR'u : IsUnit R' := (Matrix.isUnit_submatrix_equiv e e).mpr hRu
have hR's : R'.IsSymm := by
change (R.submatrix e e).transpose=R.submatrix e e
rw [Matrix.transpose_submatrix,hRs.eq]
let φ := (Matrix.reindexAlgEquiv ℂ ℂ e.symm).toAlgHom
have hφG : φ (SymLap.tensor G)=GraphReflection.graph (graphB m) := parityTensor_graph m
have hφR : φ R=R' := rfl
have hφGt : φ (SymLap.tensor G).transpose=(GraphReflection.graph (graphB m)).transpose := by
rw [← hφG]
change ((SymLap.tensor G).transpose).submatrix e e=((SymLap.tensor G).submatrix e e).transpose
exact (Matrix.transpose_submatrix _ e e).symm
have hp' : GraphReflection.graph (graphB m)*(1+R')=1+R' := by
simpa only [map_mul,map_add,map_one,hφG,hφR] using congrArg φ hRp
have hm' : (GraphReflection.graph (graphB m)).transpose*(1-R')=-(1-R') := by
simpa only [map_mul,map_sub,map_one,map_neg,hφGt,hφR] using congrArg φ hRm
have heR := Matrix.fromBlocks_toBlocks R'
have hlow := GraphReflection.lower_bound_blocks p (graphB m) R'.toBlocks₁₁ R'.toBlocks₁₂
R'.toBlocks₂₁ R'.toBlocks₂₂ (graphB_unit m) (graphB_real m)
(heR.symm ▸ hR'u) (heR.symm ▸ hR's) (heR.symm ▸ hp') (heR.symm ▸ hm')
rw [heR] at hlow
have hpR : p.value R'=p.value R := p.reindex e.symm R hRu
rw [hpR] at hlow
have hprice : 2*p.value (graphB m)=(m:ℝ)*(2^(m+1))^2 := by
rw [← GraphReflection.graph_price p _ (graphB_unit m),← parityTensor_graph]
have hu := TensorTools.unit_tensor G G (Gamma_unit m) (Gamma_unit m)
rw [show parityTensor m=Matrix.reindex e.symm e.symm (G⊗ₖG) from rfl,
p.reindex _ _ hu,p.tensor _ _ (Gamma_unit m) (Gamma_unit m),Gamma_price,bits_card]
simp only [Nat.cast_pow,Nat.cast_ofNat]
rw [pow_succ]
ring
rw [hprice] at hlow
have hnnz := Gamma_count m
change nnz G=(m+2)*2^m at hnnz
rw [hnnz,bits_card] at hRc
have hh : Fintype.card (Half m)=2^m*2^(m+1) := by
rw [Fintype.card_prod,bits_card,bits_card]
rw [hh] at hlow
simp only [Nat.cast_mul,Nat.cast_add,Nat.cast_pow,Nat.cast_ofNat] at hRc hlow
rw [show (2:ℝ)^(m+1)=2^m*2 from pow_succ _ _] at hRc hlow ⊢
nlinarith
theorem no_matrixPrice (p : MatrixPrice) : False := by
have h := reflection_inequality p 32
norm_num at h
end ExactFourier
end
end
section
noncomputable section
namespace ExactFourier
/-- The missing finite-win theorem, from exact comparison packing and the sparse
reflection contradiction. No global price is taken as an assumption. -/
theorem finite_win : FiniteWinStatement := by
by_contra hno
obtain ⟨p⟩ := Packing.rawPrice_exists hno
exact no_matrixPrice p.toMatrixPrice
end ExactFourier
end
end
section
noncomputable section
namespace ExactFourier
/-- Exact-width mixed rounds. Monomial rounds are counted, not silently free
scalar multiplications. Disjoint parallel blocks share a round. -/
inductive Layered : {α : Type} → [Fintype α] → [DecidableEq α] → Matrix α α ℂ → ℕ → Prop
| identity {α : Type} [Fintype α] [DecidableEq α] : Layered (1 : Matrix α α ℂ) 0
| mono {α : Type} [Fintype α] [DecidableEq α] (M : Matrix α α ℂ)
(hM : MonomialMatrix M) : Layered M 1
| pair (M : Matrix (Fin 2) (Fin 2) ℂ) (hM : IsUnit M) : Layered M 1
| mul {α : Type} [Fintype α] [DecidableEq α] {M N : Matrix α α ℂ} {d e : ℕ}
(hM : Layered M d) (hN : Layered N e) : Layered (M*N) (d+e)
| reindex {α β : Type} [Fintype α] [Fintype β] [DecidableEq α] [DecidableEq β]
(f : α≃β) {M : Matrix α α ℂ} {d : ℕ} (hM : Layered M d) :
Layered (Matrix.reindex f f M) d
| sum {α β : Type} [Fintype α] [Fintype β] [DecidableEq α] [DecidableEq β]
{M : Matrix α α ℂ} {N : Matrix β β ℂ} {d : ℕ}
(hM : Layered M d) (hN : Layered N d) : Layered (Matrix.fromBlocks M 0 0 N) d
| weaken {α : Type} [Fintype α] [DecidableEq α] {M : Matrix α α ℂ} {d e : ℕ}
(h : Layered M d) (hde : d≤e) : Layered M e
namespace Layered
variable {α β : Type} [Fintype α] [Fintype β] [DecidableEq α] [DecidableEq β]
theorem unit {M : Matrix α α ℂ} {d : ℕ} (h : Layered M d) : IsUnit M := by
induction h with
| identity => exact isUnit_one
| mono M hM => exact hM.unit M
| pair M hM => exact hM
| mul hM hN ihM ihN => exact ihM.mul ihN
| reindex f hM ih => exact TensorTools.unit_reindex _ _ ih
| sum hM hN ihM ihN => exact Matrix.isUnit_fromBlocks_zero₁₂.mpr ⟨ihM,ihN⟩
| weaken h hde ih => exact ih
theorem parallel {M : Matrix α α ℂ} {N : Matrix β β ℂ} {d e : ℕ}
(hM : Layered M d) (hN : Layered N e) :
Layered (Matrix.fromBlocks M 0 0 N) (max d e) :=
(hM.weaken (le_max_left _ _)).sum (hN.weaken (le_max_right _ _))
theorem embed (e : α↪β) {M : Matrix α α ℂ} {d : ℕ} (h : Layered M d) :
Layered (Embedded.matrix e M) d :=
(h.sum (Layered.identity.weaken (Nat.zero_le d))).reindex (Embedded.coordinates e)
end Layered
end ExactFourier
end
end
end OAI