Download lean/OAI/Computability/FourierCircuit/ParameterAlgebra.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 14.1 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Computability/FourierCircuit/ParameterAlgebra.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Computability/FourierCircuit/ParameterAlgebra.lean
-
curl -L -o ParameterAlgebra.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Computability/FourierCircuit/ParameterAlgebra.lean
14.1 kB
| import OAI.Computability.FourierCircuit.PositiveReach | |
| namespace OAI | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial | |
| open scoped Matrix.Norms.Operator | |
| variable {α κ : Type} [Fintype α] [DecidableEq α] | |
| def evalMatrix (F : Matrix α α (MvPolynomial κ ℂ)) (x : κ→ℂ) : Matrix α α ℂ := | |
| (aeval x).mapMatrix F | |
| @[simp] theorem evalMatrix_apply (F : Matrix α α (MvPolynomial κ ℂ)) (x : κ→ℂ) (i j : α) : | |
| evalMatrix F x i j=aeval x (F i j) := rfl | |
| @[simp] theorem evalMatrix_mul (F G : Matrix α α (MvPolynomial κ ℂ)) (x : κ→ℂ) : | |
| evalMatrix (F*G) x=evalMatrix F x*evalMatrix G x := map_mul _ _ _ | |
| @[simp] theorem evalMatrix_const (M : Matrix α α ℂ) (x : κ→ℂ) : | |
| evalMatrix (C.mapMatrix M) x=M := by ext i j; simp [evalMatrix] | |
| @[simp] theorem evalMatrix_rename {τ : Type} (e : κ→τ) | |
| (F : Matrix α α (MvPolynomial κ ℂ)) (x : τ→ℂ) : | |
| evalMatrix ((rename e).mapMatrix F) x=evalMatrix F (x∘e) := by | |
| ext i j | |
| exact aeval_rename e x (F i j) | |
| @[simp] theorem evalMatrix_diag (d : α→MvPolynomial κ ℂ) (x : κ→ℂ) : | |
| evalMatrix (Matrix.diagonal d) x=Matrix.diagonal (fun i=>aeval x (d i)) := by | |
| exact Matrix.diagonal_map (map_zero _) | |
| def diagCLM : (α→ℂ) →L[ℂ] Matrix α α ℂ := diagLinear.toContinuousLinearMap | |
| @[simp] theorem diagCLM_apply (x : α→ℂ) : diagCLM x=Matrix.diagonal x := rfl | |
| def leftProj [Fintype κ] : (κ⊕α→ℂ) →L[ℂ] (κ→ℂ) := | |
| ContinuousLinearMap.pi (fun i=>ContinuousLinearMap.proj (Sum.inl i)) | |
| def rightProj [Fintype κ] : (κ⊕α→ℂ) →L[ℂ] (α→ℂ) := | |
| ContinuousLinearMap.pi (fun i=>ContinuousLinearMap.proj (Sum.inr i)) | |
| @[simp] theorem leftProj_apply | |
| {α : Type} {κ : Type} [Fintype α] [DecidableEq α] [Fintype κ] (x : κ⊕α→ℂ) : leftProj x=x∘Sum.inl := rfl | |
| @[simp] theorem rightProj_apply | |
| {α : Type} {κ : Type} [Fintype α] [DecidableEq α] [Fintype κ] (x : κ⊕α→ℂ) : rightProj x=x∘Sum.inr := rfl | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial | |
| open scoped Matrix.Norms.Operator | |
| variable {α : Type} [Fintype α] [DecidableEq α] | |
| /-- A fixed positive word with polynomial diagonal parameters and its exact derivative. -/ | |
| structure Param (A p : Matrix α α ℂ) (U : Submodule ℂ (Matrix α α ℂ)) where | |
| Vars : Type | |
| finiteVars : Fintype Vars | |
| poly : Matrix α α (MvPolynomial Vars ℂ) | |
| calls : ℕ | |
| base : evalMatrix poly (fun _=>1)=p | |
| pattern : ∀ x : Vars→ℂ,(∀ i,x i≠0) → Pattern A calls (evalMatrix poly x) | |
| derivative : letI := finiteVars; (Vars→ℂ) →L[ℂ] Matrix α α ℂ | |
| deriv : letI := finiteVars; HasStrictFDerivAt (evalMatrix poly) derivative (fun _=>1) | |
| spans : ∀ X∈U,∃ x : Vars→ℂ,derivative x=X*p | |
| attribute [instance] Param.finiteVars | |
| def Param.nil (A : Matrix α α ℂ) : Param A 1 (diagConj 1) where | |
| Vars := α | |
| finiteVars := inferInstance | |
| poly := Matrix.diagonal X | |
| calls := 0 | |
| base := by simp | |
| pattern x hx := by simpa using Pattern.zero (A := A) (Matrix.diagonal x) (MonomialMatrix.diagonal x hx) | |
| derivative := diagCLM | |
| deriv := by | |
| convert! (diagCLM (α := α)).hasStrictFDerivAt (x := fun _=>1) using 1 | |
| funext x | |
| change evalMatrix (Matrix.diagonal X) x=Matrix.diagonal x | |
| simp only [evalMatrix_diag,aeval_X] | |
| spans X hX := by | |
| obtain ⟨d,hd⟩ := hX | |
| refine ⟨d,?_⟩ | |
| change 1*Matrix.diagonal d*1⁻¹=X at hd | |
| simpa using hd | |
| def Param.nextPoly {A p U} (P : Param (α := α) A p U) (s : Matrix α α ℂ) : | |
| Matrix α α (MvPolynomial (P.Vars⊕α) ℂ) := | |
| (rename Sum.inl).mapMatrix P.poly*C.mapMatrix s*Matrix.diagonal (fun i=>X (Sum.inr i)) | |
| @[simp] theorem Param.eval_nextPoly {A p U} (P : Param (α := α) A p U) (s : Matrix α α ℂ) | |
| (x : P.Vars⊕α→ℂ) : | |
| evalMatrix (P.nextPoly s) x=evalMatrix P.poly (x∘Sum.inl)*s*Matrix.diagonal (x∘Sum.inr) := by | |
| simp only [Param.nextPoly,evalMatrix_mul,evalMatrix_rename,evalMatrix_const,evalMatrix_diag,aeval_X] | |
| rfl | |
| def Param.nextDerivative {A p U} (P : Param (α := α) A p U) (s : Matrix α α ℂ) : | |
| (P.Vars⊕α→ℂ) →L[ℂ] Matrix α α ℂ := | |
| ((ContinuousLinearMap.mulLeftRight ℂ (Matrix α α ℂ) 1 s).comp P.derivative).comp leftProj + | |
| ((ContinuousLinearMap.mulLeftRight ℂ (Matrix α α ℂ) (p*s) 1).comp diagCLM).comp rightProj | |
| @[simp] theorem Param.nextDerivative_apply {A p U} (P : Param (α := α) A p U) | |
| (s : Matrix α α ℂ) (x : P.Vars⊕α→ℂ) : | |
| P.nextDerivative s x=P.derivative (x∘Sum.inl)*s+(p*s)*Matrix.diagonal (x∘Sum.inr) := by | |
| change 1*P.derivative (x∘Sum.inl)*s+(p*s)*Matrix.diagonal (x∘Sum.inr)*1=_ | |
| simp only [one_mul,mul_one] | |
| theorem Param.next_deriv {A p U} (P : Param (α := α) A p U) (s : Matrix α α ℂ) : | |
| HasStrictFDerivAt (evalMatrix (P.nextPoly s)) (P.nextDerivative s) (fun _=>1) := by | |
| have h1 := (P.deriv.comp (fun _ : P.Vars⊕α=> (1:ℂ)) | |
| (leftProj (κ := P.Vars) (α := α)).hasStrictFDerivAt).mul_const' s | |
| have h2 := (diagCLM (α := α)).hasStrictFDerivAt.comp (fun _ : P.Vars⊕α=> (1:ℂ)) | |
| (rightProj (κ := P.Vars) (α := α)).hasStrictFDerivAt | |
| convert! h1.mul' h2 using 1 | |
| · funext x | |
| change evalMatrix (P.nextPoly s) x=evalMatrix P.poly (x∘Sum.inl)*s*Matrix.diagonal (x∘Sum.inr) | |
| exact P.eval_nextPoly s x | |
| · ext1 x | |
| change P.nextDerivative s x=(evalMatrix P.poly (fun _=>1)*s)*Matrix.diagonal (x∘Sum.inr)+ | |
| (P.derivative (x∘Sum.inl)*s)*Matrix.diagonal (fun _=>1) | |
| rw [P.base,Matrix.diagonal_one,mul_one,P.nextDerivative_apply,add_comm] | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial | |
| open scoped Matrix.Norms.Operator | |
| variable {α : Type} [Fintype α] [DecidableEq α] | |
| theorem Param.base_unit {A p U} (P : Param (α := α) A p U) (hA : IsUnit A) : IsUnit p := by | |
| have hu := pattern_unit hA (P.pattern (fun _=>1) (by simp)) | |
| rwa [P.base] at hu | |
| def Param.snoc {A p U} (P : Param (α := α) A p U) (hA : IsUnit A) | |
| (s : Matrix α α ℂ) (hs : Reach A s) : Param A (p*s) (U⊔diagConj (p*s)) where | |
| Vars := P.Vars⊕α | |
| finiteVars := inferInstance | |
| poly := P.nextPoly s | |
| calls := P.calls+Classical.choose hs | |
| base := by simp only [Param.eval_nextPoly,Function.comp_def,P.base,Matrix.diagonal_one,mul_one] | |
| pattern x hx := by | |
| rw [Param.eval_nextPoly] | |
| exact ((P.pattern (x∘Sum.inl) (fun i=>hx (Sum.inl i))).mul (Classical.choose_spec hs)).monomial_right | |
| _ (MonomialMatrix.diagonal _ (fun i=>hx (Sum.inr i))) | |
| derivative := P.nextDerivative s | |
| deriv := P.next_deriv s | |
| spans X hX := by | |
| obtain ⟨Y,hY,Z,hZ,rfl⟩ := Submodule.mem_sup.mp hX | |
| obtain ⟨u,hu⟩ := P.spans Y hY | |
| obtain ⟨d,hd⟩ := mem_diagConj _ _ |>.mp hZ | |
| refine ⟨Sum.elim u d,?_⟩ | |
| rw [Param.nextDerivative_apply] | |
| have hu' : (Sum.elim u d)∘Sum.inl=u := rfl | |
| have hd' : (Sum.elim u d)∘Sum.inr=d := rfl | |
| rw [hu',hd',hu] | |
| have hi := Matrix.nonsing_inv_mul (p*s) | |
| ((Matrix.isUnit_iff_isUnit_det _).mp ((P.base_unit hA).mul (hs.unit hA))) | |
| calc | |
| _ = Y*(p*s)+(p*s)*Matrix.diagonal d := by noncomm_ring | |
| _ = Y*(p*s)+Z*(p*s) := by | |
| congr 1 | |
| rw [← hd] | |
| simp only [mul_assoc,hi,mul_one] | |
| _ = (Y+Z)*(p*s) := (add_mul _ _ _).symm | |
| theorem Chain.parameterization {A p U} (h : Chain (α := α) A p U) (hA : IsUnit A) : | |
| Nonempty (Param A p U) := by | |
| induction h with | |
| | nil => exact ⟨Param.nil A⟩ | |
| | @snoc p U s h hs ih => | |
| obtain ⟨P⟩ := ih | |
| exact ⟨P.snoc hA s hs⟩ | |
| theorem Param.derivative_surjective {A p} (P : Param (α := α) A p ⊤) (hA : IsUnit A) : | |
| Function.Surjective P.derivative := by | |
| intro X | |
| obtain ⟨x,hx⟩ := P.spans (X*p⁻¹) Submodule.mem_top | |
| refine ⟨x,?_⟩ | |
| rw [mul_assoc,Matrix.nonsing_inv_mul _ ((Matrix.isUnit_iff_isUnit_det _).mp (P.base_unit hA)),mul_one] at hx | |
| exact hx | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial | |
| open scoped Matrix.Norms.Operator | |
| variable {α : Type} [Fintype α] [DecidableEq α] | |
| def flatten : Matrix α α ℂ ≃ₗ[ℂ] (α×α→ℂ) where | |
| toFun M ij := M ij.1 ij.2 | |
| invFun x i j := x (i,j) | |
| left_inv _ := rfl | |
| right_inv _ := rfl | |
| map_add' _ _ := rfl | |
| map_smul' _ _ := rfl | |
| def flatCLM : Matrix α α ℂ ≃L[ℂ] (α×α→ℂ) := flatten.toContinuousLinearEquiv | |
| @[simp] theorem flatCLM_apply | |
| {α : Type} [Fintype α] [DecidableEq α] (M : Matrix α α ℂ) (ij : α×α) : flatCLM M ij=M ij.1 ij.2 := rfl | |
| def Param.hom {A p U} (P : Param (α := α) A p U) : | |
| MvPolynomial (α×α) ℂ →ₐ[ℂ] MvPolynomial P.Vars ℂ := aeval (fun ij=>P.poly ij.1 ij.2) | |
| @[simp] theorem Param.polynomialMap_hom {A p U} (P : Param (α := α) A p U) (x : P.Vars→ℂ) : | |
| polynomialMap P.hom x=flatCLM (evalMatrix P.poly x) := by | |
| funext ij | |
| simp [polynomialMap,Param.hom] | |
| theorem Param.hom_injective {A p} (P : Param (α := α) A p ⊤) (hA : IsUnit A) : | |
| Function.Injective P.hom := by | |
| let d := flatCLM.toContinuousLinearMap.comp P.derivative | |
| apply injective_of_submersion P.hom (fun _=>1) d | |
| · have hh := (flatCLM (α := α)).toContinuousLinearMap.hasStrictFDerivAt.comp (fun _ : P.Vars=> (1:ℂ)) P.deriv | |
| convert! hh using 1 | |
| funext x | |
| exact P.polynomialMap_hom x | |
| · apply LinearMap.range_eq_top.mpr | |
| exact flatCLM.surjective.comp (P.derivative_surjective hA) | |
| theorem Param.open_word {A p} (P : Param (α := α) A p ⊤) (hA : IsUnit A) : | |
| ∃ g : MvPolynomial (α×α) ℂ,g≠0 ∧ ∀ H : Matrix α α ℂ, | |
| aeval (flatCLM H) g≠0 → Pattern A P.calls H := by | |
| classical | |
| let q : MvPolynomial P.Vars ℂ := ∏ i,X i | |
| have hq : q≠0 := Finset.prod_ne_zero_iff.mpr (fun i _=>X_ne_zero i) | |
| obtain ⟨g,hg,hgi⟩ := polynomial_open_image P.hom (P.hom_injective hA) q hq | |
| refine ⟨g,hg,?_⟩ | |
| intro H hH | |
| obtain ⟨x,hx,hxH⟩ := hgi (flatCLM H) hH | |
| have hxn : ∀ i,x i≠0 := by | |
| have hh : (∏ i,x i)≠0 := by simpa [q,map_prod,aeval_X] using hx | |
| exact fun i=>Finset.prod_ne_zero_iff.mp hh i (Finset.mem_univ i) | |
| have he : evalMatrix P.poly x=H := by | |
| ext i j | |
| have ht := hxH (i,j) | |
| simpa [Param.hom] using ht | |
| rw [← he] | |
| exact P.pattern x hxn | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial Filter Topology | |
| variable {ι : Type} [Fintype ι] | |
| /-- Nonempty Zariski basic opens in complex affine space are Euclidean dense. -/ | |
| theorem polynomial_nonzero_dense (g : MvPolynomial ι ℂ) (hg : g≠0) : | |
| Dense {y : ι→ℂ | aeval y g≠0} := by | |
| rw [dense_iff_inter_open] | |
| intro U hU hne | |
| by_contra h | |
| obtain ⟨z,hz⟩ := hne | |
| have hzero : (fun y : ι→ℂ=>aeval y g)=ᶠ[𝓝 z] 0 := by | |
| filter_upwards [hU.mem_nhds hz] with y hy | |
| by_contra hn | |
| exact h ⟨y,hy,hn⟩ | |
| have hall := (AnalyticOnNhd.eval_mvPolynomial (𝕜 := ℂ) g).eqOn_zero_of_preconnected_of_eventuallyEq_zero | |
| isPreconnected_univ (Set.mem_univ z) hzero | |
| apply hg | |
| apply MvPolynomial.funext | |
| intro y | |
| simpa using hall (Set.mem_univ y) | |
| theorem polynomial_nonzero_open (g : MvPolynomial ι ℂ) : | |
| IsOpen {y : ι→ℂ | aeval y g≠0} := by | |
| apply isOpen_ne_fun _ continuous_const | |
| exact continuousOn_univ.mp (AnalyticOnNhd.eval_mvPolynomial (𝕜 := ℂ) g).continuousOn | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace ExactFourier.PositiveGeneration | |
| open MvPolynomial Filter Topology | |
| open scoped Matrix.Norms.Operator | |
| variable {α : Type} [Fintype α] [DecidableEq α] | |
| theorem Pattern.zero_iff (A H : Matrix α α ℂ) : Pattern A 0 H ↔ MonomialMatrix H := by | |
| constructor | |
| · intro h; cases h with | zero M hM => exact hM | |
| · exact Pattern.zero H | |
| /-- Positive generation, with a common strictly positive number of forward calls. -/ | |
| theorem positive_generation (A : Matrix α α ℂ) (hA : IsUnit A) (hn : ¬MonomialMatrix A) : | |
| ∃ h : ℕ,0<h ∧ ∀ H : Matrix α α ℂ,IsUnit H → Pattern A h H := by | |
| obtain ⟨p,hp⟩ := exists_full_chain A hA hn | |
| obtain ⟨P⟩ := hp.parameterization hA | |
| obtain ⟨g,hg,hgi⟩ := P.open_word hA | |
| let S : Set (Matrix α α ℂ) := {H | aeval (flatCLM H) g≠0} | |
| have hSd : Dense S := (polynomial_nonzero_dense g hg).preimage flatCLM.toHomeomorph.isOpenMap | |
| have hSo : IsOpen S := (polynomial_nonzero_open g).preimage flatCLM.continuous | |
| have hpat : ∀ H∈S,Pattern A P.calls H := hgi | |
| obtain ⟨W,hW⟩ := hSd.nonempty | |
| have hWu : IsUnit W := pattern_unit hA (hpat W hW) | |
| have hall : ∀ H : Matrix α α ℂ,IsUnit H → Pattern A (P.calls+P.calls) H := by | |
| intro H hH | |
| let V₀ := H*W⁻¹ | |
| have hVu : IsUnit V₀ := hH.mul (Matrix.isUnit_nonsing_inv_iff.mpr hWu) | |
| let f : Matrix α α ℂ → Matrix α α ℂ := fun V=>Ring.inverse V*H | |
| have hf : ContinuousAt f V₀ := by | |
| exact ((hVu.unit_spec ▸ NormedRing.inverse_continuousAt hVu.unit)).mul continuousAt_const | |
| have hfV : f V₀=W := by | |
| change Ring.inverse (H*W⁻¹)*H=W | |
| rw [← Matrix.nonsing_inv_eq_ringInverse,Matrix.mul_inv_rev,Matrix.nonsing_inv_nonsing_inv _ ((Matrix.isUnit_iff_isUnit_det _).mp hWu)] | |
| rw [mul_assoc,Matrix.nonsing_inv_mul _ ((Matrix.isUnit_iff_isUnit_det _).mp hH),mul_one] | |
| have hnh : f⁻¹' S∈𝓝 V₀ := hf.preimage_mem_nhds (hSo.mem_nhds (hfV ▸ hW)) | |
| obtain ⟨V,hV,hfVS⟩ := hSd.inter_nhds_nonempty hnh | |
| have hVp := hpat V hV | |
| have hVi := Matrix.mul_nonsing_inv V ((Matrix.isUnit_iff_isUnit_det _).mp (pattern_unit hA hVp)) | |
| have hh := hVp.mul (hpat (f V) hfVS) | |
| have he : V*f V=H := by | |
| change V*(Ring.inverse V*H)=H | |
| rw [← Matrix.nonsing_inv_eq_ringInverse,← mul_assoc,hVi,one_mul] | |
| rwa [he] at hh | |
| refine ⟨P.calls+P.calls,?_,hall⟩ | |
| by_contra h | |
| have hz : P.calls+P.calls=0 := Nat.eq_zero_of_not_pos h | |
| exact hn ((Pattern.zero_iff A A).mp (hz ▸ hall A hA)) | |
| end ExactFourier.PositiveGeneration | |
| end | |
| end | |
| end OAI | |