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import Mathlib
import OAI.Computability.DeterministicSum.WordArithmetic
namespace OAI
/-! Prime-power Newton interpolation, digit ranks and truncated filters. -/
namespace DeterministicThreeSum
namespace Newton
open scoped BigOperators
open Finset
variable {R : Type*} [CommRing R] {q d : ℕ}
def entry (node : Fin q → R) : Matrix (Fin q) (Fin q) R :=
fun i j => ∏ k ∈ Iio j, (node i - node k)
lemma entry_zero (node : Fin q → R) {i j : Fin q} (hij : i < j) :
entry node i j = 0 := by
apply Finset.prod_eq_zero (mem_Iio.mpr hij)
simp
lemma entry_lowerTriangular (node : Fin q → R) :
(entry node).IsLowerTriangular := by
intro i j hij
exact entry_zero node hij
lemma entry_det_unit (node : Fin q → R)
(hu : ∀ i j : Fin q, j < i → IsUnit (node i - node j)) :
IsUnit (Matrix.det (entry node)) := by
rw [Matrix.det_of_isLowerTriangular _ (entry_lowerTriangular node)]
apply IsUnit.prod_iff.mpr
intro i hi
apply IsUnit.prod_iff.mpr
intro j hj
exact hu i j (mem_Iio.mp hj)
def tensor (A : Matrix (Fin q) (Fin q) R) :
Matrix (Fin d → Fin q) (Fin d → Fin q) R :=
fun i j => ∏ k, A (i k) (j k)
lemma tensor_mul (A B : Matrix (Fin q) (Fin q) R) :
tensor (d := d) (A * B) = tensor A * tensor B := by
classical
ext i j
simp only [tensor, Matrix.mul_apply]
rw [Fintype.prod_sum]
apply Finset.sum_congr rfl
intro x hx
exact Finset.prod_mul_distrib
lemma tensor_one : tensor (d := d) (1 : Matrix (Fin q) (Fin q) R) = 1 := by
classical
ext i j
by_cases hij : i = j
· subst j
simp [tensor]
· have hex : ∃ k, i k ≠ j k := Function.ne_iff.mp hij
obtain ⟨k, hk⟩ := hex
rw [Matrix.one_apply_ne hij]
apply Finset.prod_eq_zero (mem_univ k)
exact Matrix.one_apply_ne hk
noncomputable def coefficients (node : Fin q → R) (f : (Fin d → Fin q) → R) :
(Fin d → Fin q) → R :=
(tensor ((entry node)⁻¹)).mulVec f
lemma interpolate (node : Fin q → R)
(hu : ∀ i j : Fin q, j < i → IsUnit (node i - node j))
(f : (Fin d → Fin q) → R) :
(tensor (entry node)).mulVec (coefficients node f) = f := by
classical
unfold coefficients
rw [Matrix.mulVec_mulVec, ← tensor_mul,
Matrix.mul_nonsing_inv _ (entry_det_unit node hu), tensor_one, Matrix.one_mulVec]
def degree (j : Fin d → Fin q) : ℕ := ∑ k, (j k).val
lemma exists_coordinate_lt {i j : Fin d → Fin q} (h : degree i < degree j) :
∃ k, i k < j k := by
by_contra! hn
have hle : degree j ≤ degree i := Finset.sum_le_sum (fun k _ => hn k)
omega
lemma tensor_entry_zero (node : Fin q → R) {i j : Fin d → Fin q}
(h : degree i < degree j) : tensor (entry node) i j = 0 := by
obtain ⟨k, hk⟩ := exists_coordinate_lt h
exact Finset.prod_eq_zero (mem_univ k) (entry_zero node hk)
noncomputable def basisPolynomial (node : Fin q → R) (j : Fin d → Fin q) :
MvPolynomial (Fin d) R :=
∏ k, ∏ a ∈ Iio (j k), (MvPolynomial.X k - MvPolynomial.C (node a))
lemma eval_basisPolynomial (node : Fin q → R) (i j : Fin d → Fin q) :
MvPolynomial.eval (node ∘ i) (basisPolynomial node j) =
tensor (entry node) i j := by
simp [basisPolynomial, tensor, entry]
noncomputable def truncatedPolynomial (node : Fin q → R)
(f : (Fin d → Fin q) → R) (Δ : ℕ) : MvPolynomial (Fin d) R :=
∑ j ∈ (univ.filter (fun j : Fin d → Fin q => degree j ≤ Δ)),
MvPolynomial.C (coefficients node f j) * basisPolynomial node j
theorem truncated_agreement (node : Fin q → R)
(hu : ∀ i j : Fin q, j < i → IsUnit (node i - node j))
(f : (Fin d → Fin q) → R) (Δ : ℕ) (i : Fin d → Fin q)
(hi : degree i ≤ Δ) :
MvPolynomial.eval (node ∘ i) (truncatedPolynomial node f Δ) = f i := by
classical
have hinterp := congrFun (interpolate node hu f) i
rw [Matrix.mulVec, dotProduct] at hinterp
calc
MvPolynomial.eval (node ∘ i) (truncatedPolynomial node f Δ) =
∑ j ∈ univ.filter (fun j : Fin d → Fin q => degree j ≤ Δ),
tensor (entry node) i j * coefficients node f j := by
simp [truncatedPolynomial, eval_basisPolynomial, mul_comm]
_ = ∑ j, tensor (entry node) i j * coefficients node f j := by
apply Finset.sum_subset (filter_subset _ _)
intro j hj hnot
have hdeg : Δ < degree j := by simpa using hnot
rw [tensor_entry_zero node (lt_of_le_of_lt hi hdeg), zero_mul]
_ = f i := hinterp
lemma basisPolynomial_degree (node : Fin q → R) (j : Fin d → Fin q) :
(basisPolynomial node j).totalDegree ≤ degree j := by
classical
rcases subsingleton_or_nontrivial R with hR | hR
· have := hR
have hz : basisPolynomial node j = 0 := Subsingleton.elim _ _
rw [hz, MvPolynomial.totalDegree_zero]
exact Nat.zero_le _
have := hR
unfold basisPolynomial degree
apply (MvPolynomial.totalDegree_finsetProd _ _).trans
apply Finset.sum_le_sum
intro k hk
apply (MvPolynomial.totalDegree_finsetProd _ _).trans
calc
∑ a ∈ Iio (j k), (MvPolynomial.X k - MvPolynomial.C (node a)).totalDegree ≤
∑ _a ∈ Iio (j k), 1 := by
apply Finset.sum_le_sum
intro a ha
rw [sub_eq_add_neg, ← MvPolynomial.C_neg]
simpa using MvPolynomial.totalDegree_add
(MvPolynomial.X k : MvPolynomial (Fin d) R) (MvPolynomial.C (-node a))
_ = (j k).val := by simp
lemma truncatedPolynomial_degree (node : Fin q → R)
(f : (Fin d → Fin q) → R) (Δ : ℕ) :
(truncatedPolynomial node f Δ).totalDegree ≤ Δ := by
classical
apply MvPolynomial.totalDegree_finsetSum_le
intro j hj
apply (MvPolynomial.totalDegree_mul _ _).trans
rw [MvPolynomial.totalDegree_C, zero_add]
exact (basisPolynomial_degree node j).trans (mem_filter.mp hj).2
lemma coefficients_unique (node : Fin q → R)
(hu : ∀ i j : Fin q, j < i → IsUnit (node i - node j))
(f : (Fin d → Fin q) → R) (c : (Fin d → Fin q) → R)
(hc : (tensor (entry node)).mulVec c = f) : c = coefficients node f := by
classical
rw [coefficients, ← hc, Matrix.mulVec_mulVec, ← tensor_mul,
Matrix.nonsing_inv_mul _ (entry_det_unit node hu), tensor_one, Matrix.one_mulVec]
lemma small_difference_unit {p e a b : ℕ} (hp : p.Prime) (he : 0 < e)
(ha : a < p) (hb : b < p) (hab : a ≠ b) :
IsUnit ((a : ZMod (p ^ e)) - (b : ZMod (p ^ e))) := by
have hposunit : ∀ {u v : ℕ}, v < u → u < p →
IsUnit ((u : ZMod (p ^ e)) - (v : ZMod (p ^ e))) := by
intro u v hvu hup
have hdpos : 0 < u - v := Nat.sub_pos_of_lt hvu
have hdlt : u - v < p := lt_of_le_of_lt (Nat.sub_le u v) hup
have hunit := (ZMod.isUnit_natCast_iff_not_dvd_pow hp he).mpr
(Nat.not_dvd_of_pos_of_lt hdpos hdlt)
simpa only [Nat.cast_sub (le_of_lt hvu)] using hunit
rcases lt_or_gt_of_ne hab with hab | hab
· simpa only [neg_sub] using (hposunit hab hb).neg
· exact hposunit hab ha
lemma primePower_node_units {p e : ℕ} (hp : p.Prime) (he : 0 < e)
(hq : q < p) (order : Equiv.Perm (Fin q)) :
∀ i j : Fin q, j < i →
IsUnit (((order i).val : ZMod (p ^ e)) - ((order j).val : ZMod (p ^ e))) := by
intro i j hji
apply small_difference_unit hp he
· exact (order i).isLt.trans hq
· exact (order j).isLt.trans hq
· intro heq
have hij := order.injective (Fin.ext heq)
exact (ne_of_gt hji) hij
theorem primePower_truncated_agreement {p e : ℕ} (hp : p.Prime) (he : 0 < e)
(hq : q < p) (order : Equiv.Perm (Fin q))
(f : (Fin d → Fin q) → ZMod (p ^ e)) (Δ : ℕ) (i : Fin d → Fin q)
(hi : degree i ≤ Δ) :
MvPolynomial.eval (fun k => ((order (i k)).val : ZMod (p ^ e)))
(truncatedPolynomial (fun j => ((order j).val : ZMod (p ^ e))) f Δ) = f i := by
exact truncated_agreement _ (primePower_node_units hp he hq order) f Δ i hi
end Newton
end DeterministicThreeSum
namespace DeterministicThreeSum
namespace Digits
open scoped BigOperators
open Finset
def rank (b m z : ℕ) : ℕ :=
if z < m - 1 then b - (m - 1) + z
else if z < b then z - (m - 1)
else z
def node (b m r : ℕ) : ℕ :=
if r < b - (m - 1) then m - 1 + r
else if r < b then r - (b - (m - 1))
else r
lemma node_rank {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b) (z : ℕ) :
node b m (rank b m z) = z := by
unfold rank node
split_ifs <;> omega
lemma rank_node {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b) (r : ℕ) :
rank b m (node b m r) = r := by
unfold rank node
split_ifs <;> omega
lemma rank_lt {b m z : ℕ} (hm : 1 ≤ m) (_hmb : m ≤ b)
(hz : z < b + m - 1) : rank b m z < b + m - 1 := by
unfold rank
split_ifs <;> omega
lemma node_lt {b m r : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b)
(hr : r < b + m - 1) : node b m r < b + m - 1 := by
unfold node
split_ifs <;> omega
def order {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b) :
Equiv.Perm (Fin (b + m - 1)) where
toFun r := ⟨node b m r.val, node_lt hm hmb r.isLt⟩
invFun z := ⟨rank b m z.val, rank_lt hm hmb z.isLt⟩
left_inv r := Fin.ext (rank_node hm hmb r.val)
right_inv z := Fin.ext (node_rank hm hmb z.val)
@[simp] lemma order_val {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b)
(r : Fin (b + m - 1)) : (order hm hmb r).val = node b m r.val := rfl
@[simp] lemma order_symm_val {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b)
(z : Fin (b + m - 1)) : ((order hm hmb).symm z).val = rank b m z.val := rfl
variable {d : ℕ}
def value (b : ℕ) (z : Fin d → ℕ) : ℕ := ∑ i, z i * b ^ i.val
lemma value_add (b : ℕ) (x y : Fin d → ℕ) :
value b (fun i => x i + y i) = value b x + value b y := by
simp [value, add_mul, Finset.sum_add_distrib]
lemma value_succ (b : ℕ) (z : Fin (d+1) → ℕ) :
value b z = z 0 + b * value b (fun i => z i.succ) := by
simp only [value, Fin.sum_univ_succ, Fin.val_zero, pow_zero, mul_one,
Fin.val_succ, pow_succ, Finset.mul_sum]
congr 1
apply Finset.sum_congr rfl
intro i hi
ring
lemma value_lt_pow {b : ℕ} (z : Fin d → Fin b) :
value b (fun i => (z i).val) < b ^ d := by
induction d with
| zero => simp [value]
| succ d ih =>
rw [value_succ, pow_succ]
have ht := ih (fun i => z i.succ)
have hz := (z 0).isLt
nlinarith [Nat.mul_le_mul_left b (Nat.succ_le_iff.mpr ht)]
lemma value_injective {b : ℕ} :
Function.Injective (fun z : Fin d → Fin b => value b (fun i => (z i).val)) := by
induction d with
| zero => intro x y h; exact Subsingleton.elim _ _
| succ d ih =>
intro x y hxy
dsimp only at hxy
rw [value_succ, value_succ] at hxy
have hmod := congrArg (fun v => v % b) hxy
have hhead : (x 0).val = (y 0).val := by
simpa only [Nat.add_mul_mod_self_left, Nat.mod_eq_of_lt (x 0).isLt,
Nat.mod_eq_of_lt (y 0).isLt] using hmod
have htail : value b (fun i => (x i.succ).val) =
value b (fun i => (y i.succ).val) := by
rw [hhead] at hxy
have hb : 0 < b := (Nat.zero_le (x 0).val).trans_lt (x 0).isLt
exact Nat.eq_of_mul_eq_mul_left hb (Nat.add_left_cancel hxy)
have hind := ih htail
funext i
refine Fin.cases (Fin.ext hhead) (fun j => congrFun hind j) i
def sumIndex {b m : ℕ} (x : Fin d → Fin m) (y : Fin d → Fin b) :
Fin d → Fin (b + m - 1) := fun i =>
⟨(x i).val + (y i).val, by have hx := (x i).isLt; have hy := (y i).isLt; omega⟩
def rankTuple {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b)
(x : Fin d → Fin m) (y : Fin d → Fin b) : Fin d → Fin (b + m - 1) :=
fun i => (order hm hmb).symm (sumIndex x y i)
@[simp] lemma node_rankTuple {b m : ℕ} (hm : 1 ≤ m) (hmb : m ≤ b)
(x : Fin d → Fin m) (y : Fin d → Fin b) (i : Fin d) :
(order hm hmb (rankTuple hm hmb x y i)).val = (x i).val + (y i).val := by
simp [rankTuple, sumIndex]
def cutoff (b d : ℕ) : ℕ := ((b + 3) * d) / 2
end Digits
end DeterministicThreeSum
namespace DeterministicThreeSum
namespace Filter
open scoped BigOperators
open Finset
variable {p e b m d J : ℕ}
def table (hm : 1 ≤ m) (hmb : m ≤ b) (hJ : 0 < J)
(h : Fin d → ℕ) (f : Fin J → ZMod (p ^ e))
(r : Fin d → Fin (b + m - 1)) : ZMod (p ^ e) :=
f ⟨Digits.value b (fun i => h i + (Digits.order hm hmb (r i)).val) % J,
Nat.mod_lt _ hJ⟩
noncomputable def polynomial (hm : 1 ≤ m) (hmb : m ≤ b) (hJ : 0 < J)
(h : Fin d → ℕ) (f : Fin J → ZMod (p ^ e)) : MvPolynomial (Fin d) (ZMod (p ^ e)) :=
Newton.truncatedPolynomial (fun j => ((Digits.order hm hmb j).val : ZMod (p ^ e)))
(table hm hmb hJ h f) (Digits.cutoff b d)
def exceptionalTuples (hm : 1 ≤ m) (hmb : m ≤ b) (x : Fin d → Fin m) :
Finset (Fin d → Fin b) :=
univ.filter (fun y => Digits.cutoff b d < Newton.degree (Digits.rankTuple hm hmb x y))
def exceptionalResidues (hm : 1 ≤ m) (hmb : m ≤ b) (x : Fin d → Fin m) : Finset ℕ :=
(exceptionalTuples hm hmb x).image (fun y => Digits.value b (fun i => (y i).val))
lemma exceptionalResidues_subset (hm : 1 ≤ m) (hmb : m ≤ b) (x : Fin d → Fin m) :
exceptionalResidues hm hmb x ⊆ range (b ^ d) := by
intro v hv
obtain ⟨y, _, rfl⟩ := mem_image.mp hv
exact mem_range.mpr (Digits.value_lt_pow y)
lemma exceptional_card (hm : 1 ≤ m) (hmb : m ≤ b) (x : Fin d → Fin m) :
(exceptionalResidues hm hmb x).card = (exceptionalTuples hm hmb x).card := by
exact Finset.card_image_of_injective _ Digits.value_injective
lemma rank_sum_le_of_not_exceptional (hm : 1 ≤ m) (hmb : m ≤ b)
(x : Fin d → Fin m) (y : Fin d → Fin b)
(hy : Digits.value b (fun i => (y i).val) ∉ exceptionalResidues hm hmb x) :
Newton.degree (Digits.rankTuple hm hmb x y) ≤ Digits.cutoff b d := by
by_contra! hdeg
apply hy
exact mem_image.mpr ⟨y, mem_filter.mpr ⟨mem_univ y, hdeg⟩, rfl⟩
theorem agreement (hp : p.Prime) (he : 0 < e) (hq : b + m - 1 < p)
(hm : 1 ≤ m) (hmb : m ≤ b) (hJ : 0 < J)
(h : Fin d → ℕ) (f : Fin J → ZMod (p ^ e))
(x : Fin d → Fin m) (y : Fin d → Fin b)
(hy : Digits.value b (fun i => (y i).val) ∉ exceptionalResidues hm hmb x) :
MvPolynomial.eval (fun i => ((x i).val : ZMod (p ^ e)) + ((y i).val : ZMod (p ^ e)))
(polynomial hm hmb hJ h f) =
f ⟨(Digits.value b (fun i => h i + (x i).val) +
Digits.value b (fun i => (y i).val)) % J, Nat.mod_lt _ hJ⟩ := by
have hrank := rank_sum_le_of_not_exceptional hm hmb x y hy
have hagree := Newton.primePower_truncated_agreement hp he hq (Digits.order hm hmb)
(table hm hmb hJ h f) (Digits.cutoff b d) (Digits.rankTuple hm hmb x y) hrank
simp only [Digits.node_rankTuple, Nat.cast_add] at hagree
rw [show Digits.value b (fun i => h i + (x i).val) +
Digits.value b (fun i => (y i).val) =
Digits.value b (fun i => h i + ((x i).val + (y i).val)) by
rw [← Digits.value_add]; congr 1; funext i; omega]
simpa only [polynomial, table, Digits.node_rankTuple] using hagree
lemma polynomial_degree (hm : 1 ≤ m) (hmb : m ≤ b) (hJ : 0 < J)
(h : Fin d → ℕ) (f : Fin J → ZMod (p ^ e)) :
(polynomial hm hmb hJ h f).totalDegree ≤ Digits.cutoff b d :=
Newton.truncatedPolynomial_degree _ _ _
end Filter
end DeterministicThreeSum
end OAI