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Add lean source and binary files (part 4)
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import Mathlib
import OAI.Algebra.FrobeniusObstruction.Obstruction
import OAI.Algebra.AlgebraicObstruction.CorrectionOperator
import OAI.Algebra.AlgebraicObstruction.TaylorRemainder
namespace OAI
noncomputable section
open scoped BigOperators
namespace BoundaryOnly.FormalObstruction.FormalCorrection
open MvPowerSeries Matrix
open scoped Classical
variable {R α ι σ : Type*} [CommRing R] [Fintype α] [Fintype ι] [Finite σ]
def shiftedGraph (x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R) :
(α ⊕ ι) → MvPowerSeries σ R :=
Sum.elim (fun a => x (.inl a)) (fun i => x (.inr i) + δ i)
omit [Fintype α] [Fintype ι] [Finite σ] in
theorem extended_centered [Fintype α] [Fintype ι] [Finite σ]
(x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0) :
∀ j, constantCoeff (Sum.elim x δ j) = 0 := by
intro j; cases j with
| inl j => exact hx j
| inr j => exact hδ j
omit [Fintype α] [Fintype ι] [Finite σ] in
theorem shiftedGraph_centered [Fintype α] [Fintype ι] [Finite σ]
(x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0) :
∀ j, constantCoeff (shiftedGraph x δ j) = 0 := by
intro j; cases j <;> simp [shiftedGraph, hx, hδ]
theorem subst_extended_base (x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0)
(f : MvPowerSeries (α ⊕ ι) R) :
subst (Sum.elim x δ) (subst (baseArguments (R := R)) f) = subst x f := by
let hs := hasSubst_of_constantCoeff_zero (extended_centered x δ hx hδ)
rw [subst_comp_subst_apply (R := R) (hasSubst_of_constantCoeff_zero (baseArguments_centered (R := R) (α := α) (ι := ι))) hs]
simp only [baseArguments, subst_X hs, Sum.elim_inl]
theorem subst_extended_shifted (x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0)
(f : MvPowerSeries (α ⊕ ι) R) :
subst (Sum.elim x δ) (subst (shiftedArguments (R := R)) f) = subst (shiftedGraph x δ) f := by
let hs := hasSubst_of_constantCoeff_zero (extended_centered x δ hx hδ)
rw [subst_comp_subst_apply (R := R) (hasSubst_of_constantCoeff_zero (shiftedArguments_centered (R := R) (α := α) (ι := ι))) hs]
congr 1
funext i
cases i <;> simp only [shiftedArguments, shiftedGraph, Sum.elim_inl, Sum.elim_inr,
subst_add hs, subst_X hs]
def gradientValue (f : MvPowerSeries (α ⊕ ι) R) (x : (α ⊕ ι) → MvPowerSeries σ R) :
ι → MvPowerSeries σ R := fun i => subst x (MvPowerSeries.pderiv (R := R) (Sum.inr i) f)
theorem gradientValue_vanishes (f : MvPowerSeries (α ⊕ ι) R) (hf : Vanishes 3 f)
(x : (α ⊕ ι) → MvPowerSeries σ R) (hx : ∀ i, constantCoeff (x i) = 0) :
∀ i, Vanishes 2 (gradientValue f x i) := by
intro i
exact (hf.pderiv _).subst x hx
theorem evaluated_remainder (f : MvPowerSeries (α ⊕ ι) R)
(H : Matrix ι ι (MvPowerSeries (Extended (α := α)) R))
(hH : subst shiftedArguments f = subst baseArguments f +
(∑ i, X (Sum.inr i) * subst baseArguments (MvPowerSeries.pderiv (R := R) (Sum.inr i) f)) +
∑ i, ∑ j, X (Sum.inr i) * H i j * X (Sum.inr j))
(x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0) :
subst (shiftedGraph x δ) f = subst x f + dotProduct (gradientValue f x) δ +
dotProduct δ ((fun i j => subst (Sum.elim x δ) (H i j)) *ᵥ δ) := by
let hs := hasSubst_of_constantCoeff_zero (extended_centered x δ hx hδ)
have hh := congrArg (substAlgHom hs) hH
simp only [map_add, map_sum, map_mul, substAlgHom_apply, subst_X hs,
Sum.elim_inr, subst_extended_shifted x δ hx hδ, subst_extended_base x δ hx hδ] at hh
rw [hh]
congr 2
· exact Finset.sum_congr rfl fun i _ => mul_comm _ _
· simp only [dotProduct, mulVec, Finset.mul_sum, mul_assoc]
theorem evaluated_first_remainder (f : MvPowerSeries (α ⊕ ι) R)
(x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0) :
∃ q : ι → MvPowerSeries σ R,
subst (shiftedGraph x δ) f - subst x f = dotProduct q δ := by
obtain ⟨q,_,hq⟩ := exists_first_remainder f
let hs := hasSubst_of_constantCoeff_zero (extended_centered x δ hx hδ)
refine ⟨fun i => subst (Sum.elim x δ) (q i), ?_⟩
have hh := congrArg (substAlgHom hs) hq
simpa only [map_sub, map_sum, map_mul, substAlgHom_apply, subst_X hs,
Sum.elim_inr, subst_extended_shifted x δ hx hδ, subst_extended_base x δ hx hδ,
dotProduct] using hh
end BoundaryOnly.FormalObstruction.FormalCorrection
namespace BoundaryOnly.FormalObstruction.FormalCorrection
open MvPowerSeries Matrix
open scoped Classical
variable {R α ι σ : Type*} [CommRing R] [Fintype α] [Fintype ι] [Finite σ]
omit [Finite σ] in
theorem mulVec_vanishes [Finite σ] {n : ℕ} (B : Matrix ι ι (MvPowerSeries σ R))
(v : ι → MvPowerSeries σ R) (hv : ∀ i, Vanishes n (v i)) :
∀ i, Vanishes n ((B *ᵥ v) i) := by
intro i
exact Vanishes.sum Finset.univ _ (fun j _ => (hv j).mul_left (B i j))
omit [Finite σ] in
theorem quadratic_transpose [Finite σ] (B H : Matrix ι ι (MvPowerSeries σ R))
(v : ι → MvPowerSeries σ R) :
dotProduct (B *ᵥ v) (H *ᵥ (B *ᵥ v)) =
dotProduct v ((B.transpose * H * B) *ᵥ v) := by
rw [← mulVec_mulVec, ← mulVec_mulVec, dotProduct_transpose_mulVec, dotProduct_comm]
omit [Fintype α] [Fintype ι] [Finite σ] in
theorem shiftedGraph_jet [Fintype α] [Fintype ι] [Finite σ]
{n : ℕ} (x : (α ⊕ ι) → MvPowerSeries σ R)
(δ : ι → MvPowerSeries σ R) (hδ : ∀ i, Vanishes n (δ i)) :
∀ i, Jet n (shiftedGraph x δ i) (x i) := by
intro i
cases i with
| inl a => exact Jet.refl _ _
| inr i =>
change Vanishes n ((x (.inr i) + δ i) - x (.inr i))
simpa only [add_sub_cancel_left] using hδ i
theorem exists_zero_correction (f : MvPowerSeries (α ⊕ ι) R) (hf : Vanishes 3 f)
(x : (α ⊕ ι) → MvPowerSeries σ R) (hx : ∀ i, constantCoeff (x i) = 0)
(b : Matrix ι ι (MvPowerSeries σ R))
(hg : subst x f = dotProduct (gradientValue f x) (b *ᵥ gradientValue f x)) :
∃ B : Matrix ι ι (MvPowerSeries σ R),
subst (shiftedGraph x (B *ᵥ gradientValue f x)) f = 0 ∧
(∀ i, Jet 2 (shiftedGraph x (B *ᵥ gradientValue f x) i) (x i)) := by
obtain ⟨H,hH,hTaylor⟩ := exists_taylor_remainder f hf
let v := gradientValue f x
have hv : ∀ i, Vanishes 2 (v i) := gradientValue_vanishes f hf x hx
obtain ⟨B,hB⟩ := exists_correction_matrix b H x v hH hx hv
have hδ := mulVec_vanishes B v hv
have hδ0 : ∀ i, constantCoeff ((B *ᵥ v) i) = 0 :=
fun i => Vanishes.one_iff.mp ((hδ i).mono (by omega))
refine ⟨B, ?_, shiftedGraph_jet x _ hδ⟩
have ht := evaluated_remainder f H hTaylor x (B *ᵥ v) hx hδ0
change subst (shiftedGraph x (B *ᵥ v)) f = _ at ht ⊢
have heval : (fun i j => subst (Sum.elim x (B *ᵥ v)) (H i j)) = remainderValue H x v B := by
funext i j
unfold remainderValue
congr 1
funext k
cases k <;> rfl
rw [heval, quadratic_transpose B, hg] at ht
have hz : b + B + B.transpose * remainderValue H x v B * B = 0 := by
change B = -b - B.transpose * remainderValue H x v B * B at hB
calc
_ = b + (-b - B.transpose * remainderValue H x v B * B) +
B.transpose * remainderValue H x v B * B := congrArg (fun A => b+A+B.transpose * remainderValue H x v B * B) hB
_ = 0 := by abel
rw [ht]
change dotProduct v (b *ᵥ v) + dotProduct v (B *ᵥ v) +
dotProduct v ((B.transpose * remainderValue H x v B * B) *ᵥ v) = 0
rw [← dotProduct_add, ← add_mulVec, ← dotProduct_add, ← add_mulVec, hz]
simp
end BoundaryOnly.FormalObstruction.FormalCorrection
namespace BoundaryOnly.FormalObstruction.FormalCorrection
open MvPowerSeries Matrix
open scoped Classical
variable {R α ι σ : Type*} [CommRing R] [Fintype α] [Fintype ι] [Finite σ]
theorem evaluated_gradient_remainder (f : MvPowerSeries (α ⊕ ι) R) (hf : Vanishes 3 f)
(x : (α ⊕ ι) → MvPowerSeries σ R) (δ : ι → MvPowerSeries σ R)
(hx : ∀ i, constantCoeff (x i) = 0) (hδ : ∀ i, constantCoeff (δ i) = 0) :
∃ G : Matrix ι ι (MvPowerSeries σ R), (∀ i j, Vanishes 1 (G i j)) ∧
gradientValue f (shiftedGraph x δ) = gradientValue f x + G *ᵥ δ := by
obtain ⟨G,hG,hgrad⟩ := exists_gradient_remainder f hf
let hs := hasSubst_of_constantCoeff_zero (extended_centered x δ hx hδ)
refine ⟨fun i j => subst (Sum.elim x δ) (G i j), ?_, ?_⟩
· intro i j
exact (hG i j).subst _ (extended_centered x δ hx hδ)
· funext i
have hh := congrArg (substAlgHom hs) (hgrad i)
simp only [map_sub, map_sum, map_mul, substAlgHom_apply, subst_X hs,
Sum.elim_inr, subst_extended_shifted x δ hx hδ, subst_extended_base x δ hx hδ] at hh
change gradientValue f (shiftedGraph x δ) i = gradientValue f x i + _
change gradientValue f (shiftedGraph x δ) i - gradientValue f x i = _ at hh
exact sub_eq_iff_eq_add.mp hh |>.trans (add_comm _ _)
omit [Finite σ] in
theorem matrix_one_add_isUnit [Finite σ] (M : Matrix ι ι (MvPowerSeries σ R))
(hM : ∀ i j, Vanishes 1 (M i j)) : IsUnit (1 + M) := by
have hc : (1 + M).map (constantCoeff (σ := σ) (R := R)) = 1 := by
ext i j
simp only [Matrix.map_apply, Matrix.add_apply, map_add, Vanishes.one_iff.mp (hM i j), add_zero]
simp only [Matrix.one_apply, apply_ite, map_one, map_zero]
split_ifs <;> rfl
apply ((1+M).isUnit_iff_isUnit_det).mpr
apply MvPowerSeries.isUnit_iff_constantCoeff.mpr
rw [RingHom.map_det]
change IsUnit (((1+M).map (constantCoeff (σ := σ) (R := R))).det)
rw [hc, Matrix.det_one]
exact isUnit_one
theorem gradient_transport (f : MvPowerSeries (α ⊕ ι) R) (hf : Vanishes 3 f)
(x : (α ⊕ ι) → MvPowerSeries σ R) (hx : ∀ i, constantCoeff (x i) = 0)
(B : Matrix ι ι (MvPowerSeries σ R)) :
∃ A : Matrix ι ι (MvPowerSeries σ R), IsUnit A ∧
gradientValue f (shiftedGraph x (B *ᵥ gradientValue f x)) = A *ᵥ gradientValue f x := by
let v := gradientValue f x
have hv : ∀ i, Vanishes 2 (v i) := gradientValue_vanishes f hf x hx
have hδ := mulVec_vanishes B v hv
have hδ0 : ∀ i, constantCoeff ((B *ᵥ v) i) = 0 :=
fun i => Vanishes.one_iff.mp ((hδ i).mono (by omega))
obtain ⟨G,hG,hgrad⟩ := evaluated_gradient_remainder f hf x (B *ᵥ v) hx hδ0
have hM : ∀ i j, Vanishes 1 ((G*B) i j) := by
intro i j
exact Vanishes.sum Finset.univ _ (fun k _ => (hG i k).mul_right (B k j))
refine ⟨1+G*B, matrix_one_add_isUnit _ hM, ?_⟩
rw [hgrad, Matrix.add_mulVec, Matrix.one_mulVec, ← Matrix.mulVec_mulVec]
def vectorIdeal (v : ι → MvPowerSeries σ R) : Ideal (MvPowerSeries σ R) :=
Ideal.span (Set.range v)
omit [Fintype ι] [Finite σ] in
theorem vector_mem_vectorIdeal [Fintype ι] [Finite σ]
(v : ι → MvPowerSeries σ R) (i : ι) :
v i ∈ vectorIdeal v := Ideal.subset_span ⟨i,rfl⟩
theorem mulVec_mem_vectorIdeal (A : Matrix ι ι (MvPowerSeries σ R))
(v : ι → MvPowerSeries σ R) (i : ι) : (A *ᵥ v) i ∈ vectorIdeal v := by
apply Ideal.sum_mem
intro j _
exact Ideal.mul_mem_left _ _ (vector_mem_vectorIdeal v j)
theorem vectorIdeal_mulVec_le (A : Matrix ι ι (MvPowerSeries σ R))
(v : ι → MvPowerSeries σ R) : vectorIdeal (A *ᵥ v) ≤ vectorIdeal v := by
apply Ideal.span_le.mpr
rintro _ ⟨i,rfl⟩
exact mulVec_mem_vectorIdeal A v i
theorem vectorIdeal_unit_mulVec (A : Matrix ι ι (MvPowerSeries σ R))
(hA : IsUnit A) (v : ι → MvPowerSeries σ R) : vectorIdeal (A *ᵥ v) = vectorIdeal v := by
obtain ⟨u,rfl⟩ := hA
apply le_antisymm (vectorIdeal_mulVec_le _ v)
have h := vectorIdeal_mulVec_le (↑(u⁻¹) : Matrix ι ι (MvPowerSeries σ R)) ((↑u) *ᵥ v)
simpa only [mulVec_mulVec, Units.inv_mul, one_mulVec] using h
theorem gradient_ideal_transport (f : MvPowerSeries (α ⊕ ι) R) (hf : Vanishes 3 f)
(x : (α ⊕ ι) → MvPowerSeries σ R) (hx : ∀ i, constantCoeff (x i) = 0)
(B : Matrix ι ι (MvPowerSeries σ R)) :
vectorIdeal (gradientValue f (shiftedGraph x (B *ᵥ gradientValue f x))) =
vectorIdeal (gradientValue f x) := by
obtain ⟨A,hA,h⟩ := gradient_transport f hf x hx B
rw [h]
exact vectorIdeal_unit_mulVec A hA _
theorem scalar_transport_mem (g : MvPowerSeries (α ⊕ ι) R)
(x : (α ⊕ ι) → MvPowerSeries σ R) (hx : ∀ i, constantCoeff (x i) = 0)
(v : ι → MvPowerSeries σ R) (hv : ∀ i, Vanishes 2 (v i))
(B : Matrix ι ι (MvPowerSeries σ R)) :
subst (shiftedGraph x (B *ᵥ v)) g - subst x g ∈ vectorIdeal v := by
have hδ := mulVec_vanishes B v hv
have hδ0 : ∀ i, constantCoeff ((B *ᵥ v) i) = 0 :=
fun i => Vanishes.one_iff.mp ((hδ i).mono (by omega))
obtain ⟨q,hq⟩ := evaluated_first_remainder g x (B *ᵥ v) hx hδ0
rw [hq]
apply Ideal.sum_mem
intro i _
exact Ideal.mul_mem_left _ _ (mulVec_mem_vectorIdeal B v i)
end BoundaryOnly.FormalObstruction.FormalCorrection
end
end OAI