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import OAI.LinearAlgebra.MatrixMultiplication.Polynomial.ComplexPolynomialDegenerationComposition
namespace OAI
/-!
# Exact interpolation away from zero
The coefficient-extraction theorem already proved for matrix multiplication is
used here with the nonzero nodes `1, ..., D + 1`. In particular a polynomial
degeneration can be recovered by a finite sum of its ordinary restrictions at
nonzero parameters, with the leading power divided out at each parameter.
-/
noncomputable section
open scoped BigOperators
namespace MatrixMultiplication.AuxiliarySeparation
open MatrixMultiplication.Foundation
/-- An explicit set of `D + 1` nonzero complex interpolation parameters. -/
def interpolationNode (D : ℕ) (i : Fin (D + 1)) : ℂ := (i.val + 1 : ℕ)
theorem interpolationNode_injective (D : ℕ) :
Function.Injective (interpolationNode D) := by
intro i j hij
apply Fin.ext
exact Nat.add_right_cancel (Nat.cast_injective hij)
theorem interpolationNode_ne_zero (D : ℕ) (i : Fin (D + 1)) :
interpolationNode D i ≠ 0 := by
change ((i.val + 1 : ℕ) : ℂ) ≠ 0
exact Nat.cast_ne_zero.mpr (Nat.succ_ne_zero i.val)
/-- The constant-coefficient functional expressed in the Lagrange basis. -/
def constantInterpolationWeight {ι : Type*} [Fintype ι] [DecidableEq ι]
(nodes : ι → ℂ) (i : ι) : ℂ :=
(Lagrange.basis Finset.univ nodes i).coeff 0
/-- Exact constant recovery; this specializes the existing coefficient theorem. -/
theorem constant_eq_sum_eval {ι : Type*} [Fintype ι] [DecidableEq ι]
(nodes : ι → ℂ) (hinj : Function.Injective nodes) (p : Polynomial ℂ)
(hdegree : p.degree < Fintype.card ι) :
p.coeff 0 = ∑ i, constantInterpolationWeight nodes i * p.eval (nodes i) := by
simpa only [constantInterpolationWeight, mul_comm] using
Tensor.coeff_eq_sum_eval nodes hinj p 0 hdegree
/-- A degree-`D` polynomial is recovered at zero using only nonzero parameters. -/
theorem constant_eq_sum_nonzero_eval (D : ℕ) (p : Polynomial ℂ)
(hdegree : p.degree ≤ D) :
p.coeff 0 = ∑ i, constantInterpolationWeight (interpolationNode D) i *
p.eval (interpolationNode D i) := by
apply constant_eq_sum_eval _ (interpolationNode_injective D)
simp only [Fintype.card_fin]
exact lt_of_le_of_lt hdegree (WithBot.coe_lt_coe.mpr (Nat.lt_succ_self D))
/-- Removing a leading power before interpolation only requires evaluations at
nonzero nodes. The degree bound is on the normalized polynomial. -/
theorem leading_eq_sum_normalized_eval {ι : Type*} [Fintype ι] [DecidableEq ι]
(nodes : ι → ℂ) (hinj : Function.Injective nodes)
(hnonzero : ∀ i, nodes i ≠ 0) (p q : Polynomial ℂ) (d : ℕ)
(hp : p = Polynomial.X ^ d * q) (hdegree : q.degree < Fintype.card ι) :
p.coeff d = ∑ i, constantInterpolationWeight nodes i *
(nodes i ^ d)⁻¹ * p.eval (nodes i) := by
have hcoeff : p.coeff d = q.coeff 0 := by
rw [hp, Polynomial.coeff_X_pow_mul']
simp
rw [hcoeff, constant_eq_sum_eval nodes hinj q hdegree]
apply Finset.sum_congr rfl
intro i hi
rw [hp, Polynomial.eval_mul, Polynomial.eval_pow, Polynomial.eval_X]
have hpow : nodes i ^ d ≠ 0 := pow_ne_zero d (hnonzero i)
calc
constantInterpolationWeight nodes i * q.eval (nodes i) =
constantInterpolationWeight nodes i *
((nodes i ^ d)⁻¹ * (nodes i ^ d)) * q.eval (nodes i) := by
rw [inv_mul_cancel₀ hpow, mul_one]
_ = _ := by ring
/-- A leading coefficient is a finite linear combination of normalized
evaluations, assuming all lower coefficients vanish. -/
theorem leading_eq_sum_nonzero_eval (D d : ℕ) (p : Polynomial ℂ)
(hvanish : ∀ j < d, p.coeff j = 0) (hdegree : p.degree ≤ D) :
p.coeff d = ∑ i, constantInterpolationWeight (interpolationNode D) i *
(interpolationNode D i ^ d)⁻¹ * p.eval (interpolationNode D i) := by
obtain ⟨q, hp⟩ := Polynomial.X_pow_dvd_iff.mpr hvanish
apply leading_eq_sum_normalized_eval _ (interpolationNode_injective D)
(interpolationNode_ne_zero D) p q d hp
have hqdegree : q.degree ≤ p.degree := by
rw [hp, mul_comm]
exact Polynomial.degree_le_mul_left q (pow_ne_zero d Polynomial.X_ne_zero)
simp only [Fintype.card_fin]
exact lt_of_le_of_lt (le_trans hqdegree hdegree)
(WithBot.coe_lt_coe.mpr (Nat.lt_succ_self D))
section PolynomialRestriction
variable {X Y Z X' Y' Z' : Type*}
variable [Fintype X] [Fintype Y] [Fintype Z]
variable {T : Tensor ℂ X Y Z} {U : Tensor ℂ X' Y' Z'}
variable {k Lx Ly Lz : ℕ}
/-- Evaluating the polynomial restriction evaluates its three local maps. -/
theorem restrictionDegeneration_eval
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
(t : ℂ) (x' : X') (y' : Y') (z' : Z') :
(L.basePolynomial x' y' z').eval t =
Tensor.restrict (fun a x => (L.leftMap a x).eval t)
(fun b y => (L.middleMap b y).eval t)
(fun c z => (L.rightMap c z).eval t) T x' y' z' := by
simp only [Tensor.PolynomialRestrictionDegeneration.basePolynomial, Tensor.restrict,
Polynomial.eval_finsetSum, Polynomial.eval_mul, Polynomial.eval_C]
/-- The degree of a polynomial restriction is bounded by the sum of the
degrees of its three local maps. -/
theorem restrictionDegeneration_degree
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
(x' : X') (y' : Y') (z' : Z') :
(L.basePolynomial x' y' z').degree ≤ (Lx + Ly + Lz : ℕ) := by
apply Polynomial.degree_le_of_natDegree_le
unfold Tensor.PolynomialRestrictionDegeneration.basePolynomial Tensor.restrict
apply Polynomial.natDegree_sum_le_of_forall_le
intro x hx
apply Polynomial.natDegree_sum_le_of_forall_le
intro y hy
apply Polynomial.natDegree_sum_le_of_forall_le
intro z hz
have hA := Polynomial.natDegree_le_of_degree_le (L.left_degree x' x)
have hB := Polynomial.natDegree_le_of_degree_le (L.middle_degree y' y)
have hC := Polynomial.natDegree_le_of_degree_le (L.right_degree z' z)
have hconstant : (Polynomial.C (T x y z)).natDegree ≤ 0 := by simp
simpa using Polynomial.natDegree_mul_le_of_le
(Polynomial.natDegree_mul_le_of_le
(Polynomial.natDegree_mul_le_of_le hA hB) hC) hconstant
/-- The existing polynomial-approximation API applies to a polynomial
restriction as soon as the source tensor has a rank bound. -/
def restrictionDegeneration_approximation
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
{r : ℕ} (hT : Tensor.RankAtMost T r) :
Tensor.PolynomialApproximation U r k (Lx + Ly + Lz) where
polynomial := L.basePolynomial
rank_bound := (hT.map Polynomial.C).restrict L.leftMap L.middleMap L.rightMap
vanishes := L.vanishes
leading := L.leading
degree_bound := restrictionDegeneration_degree L
/-- Interpolation after tensor powering has a linear degree overhead, rather
than raising the single-copy interpolation overhead to the tensor power. -/
theorem restrictionDegeneration_power_rankAtMost
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
{r : ℕ} (hT : Tensor.RankAtMost T r) (n : ℕ) :
Tensor.RankAtMost (Tensor.power U n) (((Lx + Ly + Lz) * n + 1) * r ^ n) :=
(restrictionDegeneration_approximation L hT).rank_power n
/-- A polynomial degeneration yields an exact finite sum of ordinary
restrictions at nonzero parameters. There are `Lx + Ly + Lz + 1` terms. -/
theorem restrictionDegeneration_recovery
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
(x' : X') (y' : Y') (z' : Z') :
U x' y' z' = ∑ i,
constantInterpolationWeight (interpolationNode (Lx + Ly + Lz)) i *
(interpolationNode (Lx + Ly + Lz) i ^ k)⁻¹ *
Tensor.restrict
(fun a x => (L.leftMap a x).eval (interpolationNode (Lx + Ly + Lz) i))
(fun b y => (L.middleMap b y).eval (interpolationNode (Lx + Ly + Lz) i))
(fun c z => (L.rightMap c z).eval (interpolationNode (Lx + Ly + Lz) i))
T x' y' z' := by
rw [← L.leading x' y' z']
change (L.basePolynomial x' y' z').coeff k = _
rw [leading_eq_sum_nonzero_eval (Lx + Ly + Lz) k
(L.basePolynomial x' y' z') (L.vanishes x' y' z')
(restrictionDegeneration_degree L x' y' z')]
simp_rw [restrictionDegeneration_eval]
/-- Finite interpolation converts a polynomial degeneration into an exact
rank bound with its explicit number of evaluation parameters. -/
theorem restrictionDegeneration_rankAtMost
(L : Tensor.PolynomialRestrictionDegeneration T U k Lx Ly Lz)
{r : ℕ} (hT : Tensor.RankAtMost T r) :
Tensor.RankAtMost U ((Lx + Ly + Lz + 1) * r) := by
have hbase := (hT.map Polynomial.C).restrict L.leftMap L.middleMap L.rightMap
change Tensor.RankAtMost L.basePolynomial r at hbase
have hdegree (x' : X') (y' : Y') (z' : Z') :
(L.basePolynomial x' y' z').degree <
Fintype.card (Fin (Lx + Ly + Lz + 1)) := by
simp only [Fintype.card_fin]
exact lt_of_le_of_lt (restrictionDegeneration_degree L x' y' z')
(WithBot.coe_lt_coe.mpr (Nat.lt_succ_self (Lx + Ly + Lz)))
have h := hbase.coeff (interpolationNode (Lx + Ly + Lz))
(interpolationNode_injective _) k hdegree
have hleading : (fun x' y' z' => (L.basePolynomial x' y' z').coeff k) = U := by
funext x' y' z'
exact L.leading x' y' z'
simpa only [hleading, Fintype.card_fin] using h
end PolynomialRestriction
end MatrixMultiplication.AuxiliarySeparation
end
end OAI