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Add lean source and binary files (part 8)
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import OAI.Algebra.FormulaHitting.ScaledDerivatives
import OAI.Algebra.FormulaHitting.WronskianBound
import OAI.Algebra.FormulaHitting.MinorFactor
import Mathlib.RingTheory.PowerSeries.NoZeroDivisors
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Algebra.BigOperators.Intervals
namespace OAI
noncomputable section
namespace NCHitting
open PowerSeries Polynomial Matrix Submodule
variable {F : Type*} [Field F] [CharZero F]
def derivativeMatrix {I : Type*} (k : ℕ) (h : I → PowerSeries F) :
Matrix (Fin k) I (PowerSeries F) := fun j t => derivativeIter j.val (h t)
omit [CharZero F] in
theorem derivativeMatrix_combination {I J : Type*} [Fintype I]
(k : ℕ) (h : I → PowerSeries F) (C : Matrix I J F) :
derivativeMatrix k (fun l => ∑ t : I, C t l • h t) =
derivativeMatrix k h * C.map PowerSeries.C := by
classical
funext j l
change derivativeIter j.val (∑ t : I, C t l • h t) =
∑ t : I, derivativeIter j.val (h t) * PowerSeries.C (C t l)
rw [derivativeIter_sum]
simp only [derivativeIter_smul]
simp only [PowerSeries.smul_eq_C_mul]
apply Finset.sum_congr rfl
intro t _
exact mul_comm _ _
omit [CharZero F] in
theorem order_le_natDegree_of_dvd (f : PowerSeries F) (p : F[X])
(hp : p ≠ 0) (h : f ∣ (p : PowerSeries F)) : f.order.toNat ≤ p.natDegree := by
by_contra hn
have hd : PowerSeries.X^f.order.toNat ∣ (p : PowerSeries F) :=
PowerSeries.X_pow_order_dvd.trans h
have hz := (PowerSeries.X_pow_dvd_iff.mp hd) p.natDegree (by omega)
exact (Polynomial.leadingCoeff_ne_zero.mpr hp) (by simpa using hz)
theorem sum_fin_eq_choose (k : ℕ) : (∑ j : Fin k, j.val) = k.choose 2 := by
calc
(∑ j : Fin k, j.val) = ∑ j ∈ Finset.range k, j :=
Fin.sum_univ_eq_sum_range (fun j => j) k
_ = k.choose 2 := by rw [Finset.sum_range_id, Nat.choose_two_right]
variable {I : Type*} [Fintype I] [DecidableEq I]
def systemScalarOutput (u v : I → F) (G : Matrix I I (PowerSeries F)) :
PowerSeries F := ∑ l : I, (∑ t : I, PowerSeries.C (u t) * G t l) * PowerSeries.C (v l)
theorem system_multiplicity (n : ℕ) (hn : 0 < n)
(q : F[X]) (P : Matrix I I F[X]) (u v : I → F)
(G : Matrix I I (PowerSeries F))
(hq : q.natDegree ≤ n) (hqn : q ≠ 0)
(hP : ∀ t l, (P t l).natDegree ≤ n-1) (hG : IsUnit G)
(hD : ∀ t l, (q : PowerSeries F) * PowerSeries.derivative (R := F) (G t l) =
∑ a : I, (P t a : PowerSeries F) * G a l)
(hy : systemScalarOutput u v G ≠ 0) :
(systemScalarOutput u v G).order.toNat <
(n-1) * (Fintype.card I).choose 2 + Fintype.card I := by
classical
let h : I → PowerSeries F := fun l => ∑ t : I, PowerSeries.C (u t) * G t l
let V := Submodule.span F (Set.range h)
let : FiniteDimensional F V := FiniteDimensional.span_of_finite F (Set.finite_range h)
obtain ⟨k, b, a, hbi, hspan, ha, hlead, hzero⟩ := hasOrderBasis V
have hbn : wronskian b ≠ 0 := (wronskian_order_sum b a ha hlead hzero).1
have hk : k ≤ Fintype.card I := by
have hkdim : Module.finrank F (Submodule.span F (Set.range b)) = k := by
simpa using finrank_span_eq_card hbi
rw [hspan] at hkdim
rw [← hkdim]
exact finrank_range_le_card h
have hhmem : ∀ l, h l ∈ Submodule.span F (Set.range b) := by
intro l
rw [hspan]
exact Submodule.subset_span ⟨l, rfl⟩
have hbmem : ∀ l, b l ∈ Submodule.span F (Set.range h) := by
intro l
change b l ∈ V
rw [← hspan]
exact Submodule.subset_span ⟨l, rfl⟩
have hc : ∀ l : I, ∃ c : Fin k → F, ∑ j : Fin k, c j • b j = h l := by
intro l
exact (Submodule.mem_span_range_iff_exists_fun F).mp (hhmem l)
have he : ∀ l : Fin k, ∃ c : I → F, ∑ j : I, c j • h j = b l := by
intro l
exact (Submodule.mem_span_range_iff_exists_fun F).mp (hbmem l)
choose c hc using hc
choose e he using he
let H := derivativeMatrix k h
let W := wronskianMatrix b
let C : Matrix (Fin k) I (PowerSeries F) :=
fun j l => PowerSeries.C (c l j)
let E : Matrix I (Fin k) (PowerSeries F) :=
fun j l => PowerSeries.C (e l j)
let D : Matrix (Fin k) (Fin k) (PowerSeries F) :=
Matrix.diagonal (fun j => (q : PowerSeries F)^j.val)
let Zp : Matrix (Fin k) I F[X] := fun j t => numeratorRow q P u j.val t
let Z : Matrix (Fin k) I (PowerSeries F) :=
fun j t => (Zp j t : PowerSeries F)
have hHC : H = W * C := by
funext j l
change derivativeIter j.val (h l) =
∑ t : Fin k, derivativeIter j.val (b t) * PowerSeries.C (c l t)
rw [← hc l, derivativeIter_sum]
simp only [derivativeIter_smul]
simp only [PowerSeries.smul_eq_C_mul]
apply Finset.sum_congr rfl
intro t _
exact mul_comm _ _
have hHE : W = H * E := by
funext j l
change derivativeIter j.val (b l) =
∑ t : I, derivativeIter j.val (h t) * PowerSeries.C (e l t)
rw [← he l, derivativeIter_sum]
simp only [derivativeIter_smul]
simp only [PowerSeries.smul_eq_C_mul]
apply Finset.sum_congr rfl
intro t _
exact mul_comm _ _
have hZG : Z * G = D * H := by
funext j l
rw [Matrix.diagonal_mul]
exact (scaled_derivative_row q P u G hD j.val l).symm
have hDn : D.det ≠ 0 := by
rw [Matrix.det_diagonal]
apply Finset.prod_ne_zero_iff.mpr
intro j _
exact pow_ne_zero _ (Polynomial.coe_eq_zero_iff.not.mpr hqn)
obtain ⟨f, hfn, hdiv⟩ := exists_nonzero_divisible_minor Z H G D W C E hG hDn hbn hZG hHC hHE
let p : F[X] := (Zp.submatrix id f).det
have hpcoe : (p : PowerSeries F) = (Z.submatrix id f).det := by
exact RingHom.map_det Polynomial.coeToPowerSeries.ringHom (Zp.submatrix id f)
have hpn : p ≠ 0 := by
intro hp
apply hfn
rw [← hpcoe, hp, Polynomial.coe_zero]
have hdegree : p.natDegree ≤ (n-1) * k.choose 2 := by
calc
p.natDegree ≤ ∑ j : Fin k, j.val * (n-1) := by
apply natDegree_det_le_sum
intro j l
exact numeratorRow_degree hn q P u hq hP j.val (f l)
_ = (n-1) * k.choose 2 := by
rw [← Finset.sum_mul, sum_fin_eq_choose, mul_comm]
have horder : (wronskian b).order.toNat ≤ (n-1) * k.choose 2 := by
apply (order_le_natDegree_of_dvd (wronskian b) p hpn ?_).trans hdegree
rwa [hpcoe]
have hymem : systemScalarOutput u v G ∈ Submodule.span F (Set.range b) := by
apply Submodule.sum_mem
intro l _
change h l * PowerSeries.C (v l) ∈ _
rw [mul_comm, ← PowerSeries.smul_eq_C_mul]
exact Submodule.smul_mem _ _ (hhmem l)
have hybound := order_le_wronskian_add b hbn (systemScalarOutput u v G) hy hymem
have hkpos : 0 < k := by
by_contra hn
have hk0 : k = 0 := by omega
subst k
have : systemScalarOutput u v G = 0 := by simpa using hymem
exact hy this
have hchoose : k.choose 2 ≤ (Fintype.card I).choose 2 := Nat.choose_le_choose 2 hk
have hmul := Nat.mul_le_mul_left (n-1) hchoose
omega
end NCHitting
end
end OAI