import OAI.LinearAlgebra.MatrixMultiplication.Separation.ComplexModularSeparation import Mathlib.Tactic.Ring import Mathlib.Tactic.Linarith import Mathlib.Tactic.LinearCombination import Mathlib.Tactic.Abel import Mathlib.Data.Fintype.Pi import Mathlib.Tactic.FieldSimp namespace OAI /-! Joint tensor extraction, compatibility and entropy estimates. -/ namespace MatrixMultiplication.JointHashing open scoped BigOperators attribute [local instance] Classical.propDecidable variable {P R : Type*} [Fintype P] [CommRing R] def dot (v w : P → R) : R := ∑ i, v i * w i @[simp] theorem dot_add_right (v w u : P → R) : dot v (w + u) = dot v w + dot v u := by simp [dot, mul_add, Finset.sum_add_distrib] @[simp] theorem dot_sub_right (v w u : P → R) : dot v (w - u) = dot v w - dot v u := by simp [dot, mul_sub, Finset.sum_sub_distrib] @[simp] theorem dot_add_left (v w u : P → R) : dot (v + w) u = dot v u + dot w u := by simp [dot, add_mul, Finset.sum_add_distrib] @[simp] theorem dot_sub_left (v w u : P → R) : dot (v - w) u = dot v u - dot w u := by simp [dot, sub_mul, Finset.sum_sub_distrib] abbrev Sample (P R : Type*) := (P → R) × R × R def xHash (s : Sample P R) (I : P → R) := s.2.1 + dot s.1 I def yHash (s : Sample P R) (J : P → R) := s.2.2 + dot s.1 J def zHash (two : Rˣ) (s : Sample P R) (S K : P → R) := (↑(two⁻¹) : R) * (s.2.1 + s.2.2 + dot s.1 (S - K)) def Survives (U : Set R) (I J : P → R) (s : Sample P R) : Prop := xHash s I = yHash s J ∧ xHash s I ∈ U def survivalEquiv (U : Set R) (I J : P → R) : {s : Sample P R // Survives U I J s} ≃ (P → R) × U where toFun s := (s.val.1, ⟨xHash s.val I, s.property.2⟩) invFun vt := ⟨(vt.1, vt.2.val - dot vt.1 I, vt.2.val - dot vt.1 J), by simp [Survives, xHash, yHash, vt.2.property]⟩ left_inv s := by apply Subtype.ext rcases s with ⟨⟨v, a, b⟩, hs⟩ dsimp [Survives, xHash, yHash] at hs ⊢ congr 1 apply Prod.ext · ring · linear_combination hs.1 right_inv vt := by rcases vt with ⟨v, t, ht⟩ simp [xHash] theorem hash_relation (two : Rˣ) (htwo : (two : R) = 2) (s : Sample P R) (I J K S : P → R) (hs : I + J + K = S) : xHash s I + yHash s J = 2 * zHash two s S K := by have hSK : S - K = I + J := by rw [← hs]; abel rw [zHash, ← htwo, ← mul_assoc] rw [Units.mul_inv, one_mul, hSK, dot_add_right] simp only [xHash, yHash] ring theorem full_survival_iff (two : Rˣ) (htwo : (two : R) = 2) (U : Set R) (hAP : ∀ x ∈ U, ∀ y ∈ U, ∀ z ∈ U, x + y = 2 * z → x = z ∧ y = z) (s : Sample P R) (I J K S : P → R) (hs : I + J + K = S) : (xHash s I ∈ U ∧ yHash s J ∈ U ∧ zHash two s S K ∈ U) ↔ Survives U I J s := by have hr := hash_relation two htwo s I J K S hs constructor · rintro ⟨hx, hy, hz⟩ obtain ⟨h1, h2⟩ := hAP _ hx _ hy _ hz hr exact ⟨h1.trans h2.symm, hx⟩ · rintro ⟨hxy, hx⟩ have hz : zHash two s S K = xHash s I := by have hh : (two : R) * zHash two s S K = (two : R) * xHash s I := by rw [htwo, ← hr, hxy]; ring exact two.isUnit.mul_left_cancel hh exact ⟨hx, hxy ▸ hx, hz ▸ hx⟩ theorem survival_card [Fintype R] (U : Finset R) (I J : P → R) : Fintype.card {s : Sample P R // Survives (U : Set R) I J s} = Fintype.card R ^ Fintype.card P * U.card := by classical rw [Fintype.card_congr (survivalEquiv (U : Set R) I J)] simp omit [CommRing R] in @[simp] theorem sample_card [Fintype R] : Fintype.card (Sample P R) = Fintype.card R ^ Fintype.card P * Fintype.card R ^ 2 := by simp [Sample, pow_two] theorem shared_x_collision_iff (U : Set R) (I J J' : P → R) (s : Sample P R) (hs : Survives U I J s) : Survives U I J' s ↔ dot s.1 (J' - J) = 0 := by rcases hs with ⟨heq, hU⟩ simp only [Survives, dot_sub_right] constructor · intro h dsimp [xHash, yHash] at heq h linear_combination heq - h.1 · intro h refine ⟨?_, hU⟩ dsimp [xHash, yHash] at heq ⊢ linear_combination heq - h theorem shared_y_collision_iff (U : Set R) (I I' J : P → R) (s : Sample P R) (hs : Survives U I J s) : Survives U I' J s ↔ dot s.1 (I' - I) = 0 := by rcases hs with ⟨heq, hU⟩ simp only [Survives, dot_sub_right] constructor · intro h dsimp [xHash, yHash] at heq h linear_combination h.1 - heq · intro h have hx : xHash s I' = xHash s I := by dsimp [xHash] linear_combination h exact ⟨hx.trans heq, hx ▸ hU⟩ def pivot [DecidableEq P] (i : P) (u : Rˣ) (t : R) : P → R := Pi.single i ((↑(u⁻¹) : R) * t) @[simp] theorem dot_pivot [DecidableEq P] (d : P → R) (i : P) (u : Rˣ) (hu : d i = u) (t : R) : dot (pivot i u t) d = t := by simp [dot, pivot, Pi.single_apply, hu, mul_comm, mul_left_comm] def linearSplitEquiv [DecidableEq P] (d : P → R) (i : P) (u : Rˣ) (hu : d i = u) : (P → R) ≃ R × {v : P → R // dot v d = 0} where toFun v := (dot v d, ⟨v - pivot i u (dot v d), by simp [hu]⟩) invFun t := t.2.val + pivot i u t.1 left_inv v := by simp right_inv t := by rcases t with ⟨t, v, hv⟩ apply Prod.ext · simp [hv, hu] · apply Subtype.ext simp [hv, hu] theorem linear_zero_fiber_card [Fintype R] (d : P → R) (i : P) (u : Rˣ) (hu : d i = u) : Fintype.card R * Fintype.card {v : P → R // dot v d = 0} = Fintype.card R ^ Fintype.card P := by classical have h := Fintype.card_congr (linearSplitEquiv d i u hu) simpa only [Fintype.card_prod, Fintype.card_fun] using h.symm def collisionEquiv (U : Set R) (I J d : P → R) : {s : Sample P R // Survives U I J s ∧ dot s.1 d = 0} ≃ {v : P → R // dot v d = 0} × U where toFun s := (⟨s.val.1, s.property.2⟩, ⟨xHash s.val I, s.property.1.2⟩) invFun vt := ⟨(vt.1.val, vt.2.val - dot vt.1.val I, vt.2.val - dot vt.1.val J), by exact ⟨by simp [Survives, xHash, yHash, vt.2.property], vt.1.property⟩⟩ left_inv s := by apply Subtype.ext exact congrArg (fun t : {s : Sample P R // Survives U I J s} => t.val) ((survivalEquiv U I J).left_inv ⟨s.val, s.property.1⟩) right_inv vt := by rcases vt with ⟨⟨v, hv⟩, ⟨t, ht⟩⟩ simp [xHash] theorem collision_card_mul [Fintype R] (U : Finset R) (I J d : P → R) (i : P) (u : Rˣ) (hu : d i = u) : Fintype.card R * Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 d = 0} = Fintype.card {s : Sample P R // Survives (U : Set R) I J s} := by classical have hcard : Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 d = 0} = Fintype.card {v : P → R // dot v d = 0} * U.card := by simpa using Fintype.card_congr (collisionEquiv (U : Set R) I J d) calc _ = Fintype.card R * (Fintype.card {v : P → R // dot v d = 0} * U.card) := congrArg (fun n : ℕ => Fintype.card R * n) hcard _ = (Fintype.card R * Fintype.card {v : P → R // dot v d = 0}) * U.card := (mul_assoc _ _ _).symm _ = (Fintype.card R ^ Fintype.card P) * U.card := congrArg (fun n : ℕ => n * U.card) (linear_zero_fiber_card d i u hu) _ = _ := (survival_card U I J).symm theorem shared_x_collision_card_mul [Fintype R] (U : Finset R) (I J J' : P → R) (i : P) (u : Rˣ) (hu : J' i - J i = u) : Fintype.card R * Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I J' s} = Fintype.card {s : Sample P R // Survives (U : Set R) I J s} := by classical let e : {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I J' s} ≃ {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 (J' - J) = 0} := Equiv.subtypeEquivRight (fun s => and_congr_right (fun hs => shared_x_collision_iff (U : Set R) I J J' s hs)) rw [Fintype.card_congr e] exact collision_card_mul U I J (J' - J) i u hu theorem shared_y_collision_card_mul [Fintype R] (U : Finset R) (I I' J : P → R) (i : P) (u : Rˣ) (hu : I' i - I i = u) : Fintype.card R * Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I' J s} = Fintype.card {s : Sample P R // Survives (U : Set R) I J s} := by classical let e : {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I' J s} ≃ {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 (I' - I) = 0} := Equiv.subtypeEquivRight (fun s => and_congr_right (fun hs => shared_y_collision_iff (U : Set R) I I' J s hs)) rw [Fintype.card_congr e] exact collision_card_mul U I J (I' - I) i u hu theorem survival_fraction [Fintype R] (U : Finset R) (I J : P → R) : (Fintype.card {s : Sample P R // Survives (U : Set R) I J s} : ℝ) / Fintype.card (Sample P R) = (U.card : ℝ) / (Fintype.card R : ℝ) ^ 2 := by have hR : (Fintype.card R : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero rw [survival_card, sample_card] push_cast field_simp theorem collision_fraction [Fintype R] (U : Finset R) (hU : U.Nonempty) (I J d : P → R) (i : P) (u : Rˣ) (hu : d i = u) : (Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 d = 0} : ℝ) / Fintype.card {s : Sample P R // Survives (U : Set R) I J s} = 1 / (Fintype.card R : ℝ) := by have hR : (Fintype.card R : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero have hS : (Fintype.card {s : Sample P R // Survives (U : Set R) I J s} : ℝ) ≠ 0 := by obtain ⟨t, ht⟩ := hU let : Nonempty {s : Sample P R // Survives (U : Set R) I J s} := ⟨(survivalEquiv (U : Set R) I J).symm (0, ⟨t, ht⟩)⟩ exact Nat.cast_ne_zero.mpr Fintype.card_ne_zero apply (div_eq_div_iff hS hR).mpr simpa only [Nat.cast_mul, one_mul, mul_one, mul_comm] using (congrArg (fun n : ℕ => (n : ℝ)) (collision_card_mul U I J d i u hu)) theorem small_nat_isUnit (k n : ℕ) (hn : 0 < n) (hn16 : n ≤ 16) : IsUnit (n : ZMod (37 ^ k)) := by apply (ZMod.isUnit_iff_coprime _ _).mpr apply Nat.Coprime.pow_right apply Nat.Coprime.symm apply (Nat.Prime.coprime_iff_not_dvd (by decide : Nat.Prime 37)).mpr intro h have := Nat.le_of_dvd hn h omega theorem coarse_difference_isUnit (k : ℕ) (a b : Fin 17) (hab : a ≠ b) : IsUnit ((a.val : ZMod (37 ^ k)) - (b.val : ZMod (37 ^ k))) := by have hne : a.val ≠ b.val := fun h => hab (Fin.ext h) rcases lt_or_gt_of_ne hne with h | h · have hu := small_nat_isUnit k (b.val - a.val) (Nat.sub_pos_of_lt h) (by omega) rw [Nat.cast_sub h.le] at hu simpa only [neg_sub] using hu.neg · have hu := small_nat_isUnit k (a.val - b.val) (Nat.sub_pos_of_lt h) (by omega) rwa [Nat.cast_sub h.le] at hu theorem coarse_words_unit_coordinate (k : ℕ) (I J : P → Fin 17) (hIJ : I ≠ J) : ∃ i : P, IsUnit (((I i : ℕ) : ZMod (37 ^ k)) - ((J i : ℕ) : ZMod (37 ^ k))) := by classical have hi : ∃ i, I i ≠ J i := by by_contra h push Not at h exact hIJ (funext h) obtain ⟨i, hi⟩ := hi exact ⟨i, coarse_difference_isUnit k (I i) (J i) hi⟩ theorem shared_z_collision_iff (two : Rˣ) (htwo : (two : R) = 2) (U : Set R) (I I' J J' : P → R) (hIJ : I' + J' = I + J) (s : Sample P R) (hs : Survives U I J s) : Survives U I' J' s ↔ dot s.1 (I' - I) = 0 := by have hsum : dot s.1 I' + dot s.1 J' = dot s.1 I + dot s.1 J := by simpa using congrArg (dot s.1) hIJ rcases hs with ⟨heq, hU⟩ rw [dot_sub_right] constructor · rintro ⟨heq', _⟩ dsimp [xHash, yHash] at heq heq' have hz : (two : R) * (dot s.1 I' - dot s.1 I) = (two : R) * 0 := by rw [htwo] linear_combination heq' - heq + hsum exact two.isUnit.mul_left_cancel hz · intro hd have hx : xHash s I' = xHash s I := by dsimp [xHash] linear_combination hd have hy : yHash s J' = yHash s J := by dsimp [yHash] linear_combination hsum - hd exact ⟨hx.trans (heq.trans hy.symm), hx ▸ hU⟩ theorem shared_z_collision_card_mul [Fintype R] (two : Rˣ) (htwo : (two : R) = 2) (U : Finset R) (I I' J J' : P → R) (hIJ : I' + J' = I + J) (i : P) (u : Rˣ) (hu : I' i - I i = u) : Fintype.card R * Fintype.card {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I' J' s} = Fintype.card {s : Sample P R // Survives (U : Set R) I J s} := by classical let e : {s : Sample P R // Survives (U : Set R) I J s ∧ Survives (U : Set R) I' J' s} ≃ {s : Sample P R // Survives (U : Set R) I J s ∧ dot s.1 (I' - I) = 0} := Equiv.subtypeEquivRight (fun s => and_congr_right (fun hs => shared_z_collision_iff two htwo (U : Set R) I I' J J' hIJ s hs)) rw [Fintype.card_congr e] exact collision_card_mul U I J (I' - I) i u hu end MatrixMultiplication.JointHashing end OAI