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