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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Construction.JointLossCounts
import OAI.LinearAlgebra.MatrixFields.Entropy.JointExtractionRates
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
section
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
noncomputable section
namespace MatrixMultiplication.JointCoarseHashing
attribute [local instance] Classical.propDecidable
abbrev Word (P : Type*) := P → Fin 17
abbrev Triple (P : Type*) := Word P × Word P × Word P
variable {P : Type*}
def HasSupportSum (S : P → ℕ) (e : Triple P) : Prop :=
∀ p, (e.1 p).val + (e.2.1 p).val + (e.2.2 p).val = S p
theorem eq_of_shared_xy (S : P → ℕ) (e f : Triple P)
(he : HasSupportSum S e) (hf : HasSupportSum S f)
(hx : e.1 = f.1) (hy : e.2.1 = f.2.1) : e = f := by
have hz : e.2.2 = f.2.2 := by
funext p
apply Fin.ext
have he' := he p
have hf' := hf p
rw [hx, hy] at he'
omega
exact Prod.ext hx (Prod.ext hy hz)
theorem eq_of_shared_xz (S : P → ℕ) (e f : Triple P)
(he : HasSupportSum S e) (hf : HasSupportSum S f)
(hx : e.1 = f.1) (hz : e.2.2 = f.2.2) : e = f := by
have hy : e.2.1 = f.2.1 := by
funext p
apply Fin.ext
have he' := he p
have hf' := hf p
rw [hx, hz] at he'
omega
exact Prod.ext hx (Prod.ext hy hz)
theorem eq_of_shared_yz (S : P → ℕ) (e f : Triple P)
(he : HasSupportSum S e) (hf : HasSupportSum S f)
(hy : e.2.1 = f.2.1) (hz : e.2.2 = f.2.2) : e = f := by
have hx : e.1 = f.1 := by
funext p
apply Fin.ext
have he' := he p
have hf' := hf p
rw [hy, hz] at he'
omega
exact Prod.ext hx (Prod.ext hy hz)
def castWord (k : ℕ) (w : Word P) : P → ZMod (37 ^ k) :=
fun p => (w p).val
def twoUnit (k : ℕ) : (ZMod (37 ^ k))ˣ :=
(JointHashing.small_nat_isUnit k 2 (by decide) (by decide)).unit
theorem twoUnit_coe (k : ℕ) : (twoUnit k : ZMod (37 ^ k)) = 2 := by
exact (JointHashing.small_nat_isUnit k 2 (by decide) (by decide)).unit_spec
theorem supportSum_cast (k : ℕ) (S : P → ℕ) (e : Triple P)
(he : HasSupportSum S e) :
castWord k e.1 + castWord k e.2.1 + castWord k e.2.2 =
fun p => (S p : ZMod (37 ^ k)) := by
funext p
have h := congrArg (fun n : ℕ => (n : ZMod (37 ^ k))) (he p)
simpa only [Nat.cast_add, Pi.add_apply, castWord] using h
theorem shared_z_cast_sum (k : ℕ) (S : P → ℕ) (e f : Triple P)
(he : HasSupportSum S e) (hf : HasSupportSum S f)
(hz : f.2.2 = e.2.2) :
castWord k f.1 + castWord k f.2.1 = castWord k e.1 + castWord k e.2.1 := by
have h := (supportSum_cast k S f hf).trans (supportSum_cast k S e he).symm
rw [hz] at h
exact add_right_cancel h
section FiniteHashing
variable [Fintype P]
abbrev Sample (P : Type*) (k : ℕ) := JointHashing.Sample P (ZMod (37 ^ k))
def Survives (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : Triple P) (s : Sample P k) : Prop :=
JointHashing.Survives (U : Set (ZMod (37 ^ k))) (castWord k e.1) (castWord k e.2.1) s
theorem full_survival_iff (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(hAP : ∀ x ∈ U, ∀ y ∈ U, ∀ z ∈ U, x + y = 2 * z → x = z ∧ y = z)
(S : P → ℕ) (e : Triple P) (he : HasSupportSum S e) (s : Sample P k) :
(JointHashing.xHash s (castWord k e.1) ∈ U ∧
JointHashing.yHash s (castWord k e.2.1) ∈ U ∧
JointHashing.zHash (twoUnit k) s (fun p => (S p : ZMod (37 ^ k)))
(castWord k e.2.2) ∈ U) ↔ Survives k U e s := by
exact JointHashing.full_survival_iff (twoUnit k) (twoUnit_coe k)
(U : Set (ZMod (37 ^ k))) hAP s (castWord k e.1) (castWord k e.2.1)
(castWord k e.2.2) (fun p => (S p : ZMod (37 ^ k))) (supportSum_cast k S e he)
theorem survival_card (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : Triple P) :
Fintype.card {s : Sample P k // Survives k U e s} =
(37 ^ k) ^ Fintype.card P * U.card := by
have hcard := JointHashing.survival_card U (castWord k e.1) (castWord k e.2.1)
simp only [ZMod.card] at hcard
simp only [Fintype.card_eq_nat_card] at hcard ⊢
exact hcard
theorem shared_x_card_mul (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hx : f.1 = e.1) :
(37 ^ k) * Fintype.card {s : Sample P k // Survives k U e s ∧ Survives k U f s} =
Fintype.card {s : Sample P k // Survives k U e s} := by
classical
have hy : f.2.1 ≠ e.2.1 := fun hy => hne (eq_of_shared_xy S f e hf he hx hy)
obtain ⟨i, hi⟩ := JointHashing.coarse_words_unit_coordinate k f.2.1 e.2.1 hy
have h := JointHashing.shared_x_collision_card_mul U (castWord k e.1)
(castWord k e.2.1) (castWord k f.2.1) i hi.unit hi.unit_spec.symm
simp only [ZMod.card] at h
simp only [Fintype.card_eq_nat_card] at h ⊢
simpa only [Survives, hx] using h
theorem shared_y_card_mul (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hy : f.2.1 = e.2.1) :
(37 ^ k) * Fintype.card {s : Sample P k // Survives k U e s ∧ Survives k U f s} =
Fintype.card {s : Sample P k // Survives k U e s} := by
classical
have hx : f.1 ≠ e.1 := fun hx => hne (eq_of_shared_xy S f e hf he hx hy)
obtain ⟨i, hi⟩ := JointHashing.coarse_words_unit_coordinate k f.1 e.1 hx
have h := JointHashing.shared_y_collision_card_mul U (castWord k e.1)
(castWord k f.1) (castWord k e.2.1) i hi.unit hi.unit_spec.symm
simp only [ZMod.card] at h
simp only [Fintype.card_eq_nat_card] at h ⊢
simpa only [Survives, hy] using h
theorem shared_z_card_mul (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hz : f.2.2 = e.2.2) :
(37 ^ k) * Fintype.card {s : Sample P k // Survives k U e s ∧ Survives k U f s} =
Fintype.card {s : Sample P k // Survives k U e s} := by
classical
have hx : f.1 ≠ e.1 := fun hx => hne (eq_of_shared_xz S f e hf he hx hz)
obtain ⟨i, hi⟩ := JointHashing.coarse_words_unit_coordinate k f.1 e.1 hx
have h := JointHashing.shared_z_collision_card_mul (twoUnit k) (twoUnit_coe k)
U (castWord k e.1) (castWord k f.1) (castWord k e.2.1) (castWord k f.2.1)
(shared_z_cast_sum k S e f he hf hz) i hi.unit hi.unit_spec.symm
simp only [ZMod.card] at h
simp only [Fintype.card_eq_nat_card] at h ⊢
exact h
def SharesSide (e f : Triple P) : Prop :=
f.1 = e.1 ∨ f.2.1 = e.2.1 ∨ f.2.2 = e.2.2
theorem pair_survival_card_mul (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hshare : SharesSide e f) :
(37 ^ k) * Fintype.card {s : Sample P k // Survives k U e s ∧ Survives k U f s} =
Fintype.card {s : Sample P k // Survives k U e s} := by
rcases hshare with hx | hy | hz
· exact shared_x_card_mul k U S e f he hf hne hx
· exact shared_y_card_mul k U S e f he hf hne hy
· exact shared_z_card_mul k U S e f he hf hne hz
def ownEvent (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : Triple P) : Finset (Sample P k) :=
Finset.univ.filter (Survives k U e)
theorem ownEvent_card (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : Triple P) :
(ownEvent k U e).card = (37 ^ k) ^ Fintype.card P * U.card := by
simpa only [ownEvent, Fintype.card_subtype] using survival_card k U e
theorem pair_event_card_mul (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hshare : SharesSide e f) :
(37 ^ k) * ((ownEvent k U e).filter (Survives k U f)).card = (ownEvent k U e).card := by
simpa only [ownEvent, Finset.filter_filter, Fintype.card_subtype] using
pair_survival_card_mul k U S e f he hf hne hshare
theorem competitor_union_card_mul_le (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e : Triple P) (he : HasSupportSum S e) (competitors : Finset (Triple P))
(hf : ∀ f ∈ competitors, HasSupportSum S f)
(hne : ∀ f ∈ competitors, f ≠ e)
(hshare : ∀ f ∈ competitors, SharesSide e f) :
(37 ^ k) * ((ownEvent k U e).filter
(fun s => ∃ f ∈ competitors, Survives k U f s)).card ≤
competitors.card * (ownEvent k U e).card := by
apply JointLossCounts.competitor_union_card_mul_le
intro f hf'
exact (pair_event_card_mul k U S e f he (hf f hf') (hne f hf') (hshare f hf')).le
theorem competitor_union_card_le (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(S : P → ℕ) (e : Triple P) (he : HasSupportSum S e) (competitors : Finset (Triple P))
(hf : ∀ f ∈ competitors, HasSupportSum S f)
(hne : ∀ f ∈ competitors, f ≠ e)
(hshare : ∀ f ∈ competitors, SharesSide e f) :
(((ownEvent k U e).filter (fun s => ∃ f ∈ competitors, Survives k U f s)).card : ℝ) ≤
((competitors.card : ℝ) / ((37 ^ k : ℕ) : ℝ)) * ((ownEvent k U e).card : ℝ) := by
have hM : (0 : ℝ) < ((37 ^ k : ℕ) : ℝ) := by
exact_mod_cast (pow_pos (by decide : 0 < (37 : ℕ)) k)
have h := competitor_union_card_mul_le k U S e he competitors hf hne hshare
have hR : ((37 ^ k : ℕ) : ℝ) *
(((ownEvent k U e).filter (fun s => ∃ f ∈ competitors, Survives k U f s)).card : ℝ) ≤
(competitors.card : ℝ) * ((ownEvent k U e).card : ℝ) := by exact_mod_cast h
rw [div_mul_eq_mul_div]
exact (le_div_iff₀ hM).2 (by simpa only [mul_comm] using hR)
theorem pair_survival_fraction (k : ℕ) (U : Finset (ZMod (37 ^ k))) (hU : U.Nonempty)
(S : P → ℕ) (e f : Triple P) (he : HasSupportSum S e) (hf : HasSupportSum S f)
(hne : f ≠ e) (hshare : SharesSide e f) :
(((ownEvent k U e).filter (Survives k U f)).card : ℝ) / ((ownEvent k U e).card : ℝ) =
1 / ((37 ^ k : ℕ) : ℝ) := by
have hM : (0 : ℕ) < 37 ^ k := pow_pos (by decide) k
have hS : 0 < (ownEvent k U e).card := by
rw [ownEvent_card]
exact Nat.mul_pos (pow_pos hM _) (Finset.card_pos.mpr hU)
apply (div_eq_div_iff (by exact_mod_cast Nat.ne_of_gt hS)
(by exact_mod_cast Nat.ne_of_gt hM)).2
have h := congrArg (fun n : ℕ => (n : ℝ)) (pair_event_card_mul k U S e f he hf hne hshare)
simpa only [Nat.cast_mul, one_mul, mul_comm] using h
end FiniteHashing
end MatrixMultiplication.JointCoarseHashing
namespace MatrixMultiplication.JointOrdinarySelection
open JointCoarseHashing JointExtractionRates Filter
open scoped BigOperators Topology
attribute [local instance] Classical.propDecidable
variable {P E : Type*}
def neighbors (ambient : Finset (Triple P)) (e : Triple P) : Finset (Triple P) :=
ambient.filter (fun f => f ≠ e ∧ SharesSide e f)
@[simp] theorem mem_neighbors (ambient : Finset (Triple P)) (e f : Triple P) :
f ∈ neighbors ambient e ↔ f ∈ ambient ∧ f ≠ e ∧ SharesSide e f := by
simp only [neighbors, Finset.mem_filter]
section Finite
variable [Fintype P]
def Bad (k : ℕ) (U : Finset (ZMod (37 ^ k))) (ambient : Finset (Triple P))
(e : Triple P) (s : Sample P k) : Prop :=
∃ f ∈ neighbors ambient e, Survives k U f s
def Good (k : ℕ) (U : Finset (ZMod (37 ^ k))) (ambient : Finset (Triple P))
(e : Triple P) (s : Sample P k) : Prop :=
Survives k U e s ∧ ¬ Bad k U ambient e s
def goodEvent (k : ℕ) (U : Finset (ZMod (37 ^ k))) (ambient : Finset (Triple P))
(e : Triple P) : Finset (Sample P k) :=
(ownEvent k U e).filter (fun s => ¬ Bad k U ambient e s)
@[simp] theorem mem_goodEvent (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (e : Triple P) (s : Sample P k) :
s ∈ goodEvent k U ambient e ↔ Good k U ambient e s := by
simp only [goodEvent, ownEvent, Finset.mem_filter, Finset.mem_univ, true_and, Good]
theorem good_excludes_neighbor (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (e f : Triple P) (s : Sample P k)
(hg : Good k U ambient e s) (hf : f ∈ ambient) (hne : f ≠ e)
(hshare : SharesSide e f) : ¬ Survives k U f s := by
intro hs
exact hg.2 ⟨f, (mem_neighbors ambient e f).2 ⟨hf, hne, hshare⟩, hs⟩
theorem good_no_shared_side (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (e f : Triple P) (s : Sample P k)
(he : Good k U ambient e s) (hf : Good k U ambient f s)
(hmem : f ∈ ambient) (hne : f ≠ e) : ¬ SharesSide e f := by
intro hshare
exact good_excludes_neighbor k U ambient e f s he hmem hne hshare hf.1
theorem ownEvent_card_real (k : ℕ) (U : Finset (ZMod (37 ^ k))) (e : Triple P) :
((ownEvent k U e).card : ℝ) =
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2) * (Fintype.card (Sample P k) : ℝ) := by
rw [ownEvent_card, JointHashing.sample_card, ZMod.card]
push_cast
field_simp
theorem bad_card_le (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (S : P → ℕ)
(hsupport : ∀ f ∈ ambient, HasSupportSum S f)
(e : Triple P) (he : e ∈ ambient) :
(((ownEvent k U e).filter (Bad k U ambient e)).card : ℝ) ≤
((neighbors ambient e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) *
((ownEvent k U e).card : ℝ) := by
have hset : (ownEvent k U e).filter (Bad k U ambient e) =
(ownEvent k U e).filter (fun s => ∃ f ∈ neighbors ambient e, Survives k U f s) := by
ext s
simp only [Finset.mem_filter, Bad]
rw [hset]
apply competitor_union_card_le k U S e (hsupport e he) (neighbors ambient e)
· intro f hf
exact hsupport f ((mem_neighbors ambient e f).mp hf).1
· intro f hf
exact ((mem_neighbors ambient e f).mp hf).2.1
· intro f hf
exact ((mem_neighbors ambient e f).mp hf).2.2
theorem goodEvent_card_lower (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (S : P → ℕ)
(hsupport : ∀ f ∈ ambient, HasSupportSum S f)
(e : Triple P) (he : e ∈ ambient) (D : ℕ)
(hdegree : (neighbors ambient e).card ≤ D)
(hsmall : (D : ℝ) / ((37 ^ k : ℕ) : ℝ) ≤ 1 / 2) :
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) *
(Fintype.card (Sample P k) : ℝ) ≤ (goodEvent k U ambient e).card := by
have hM : (0 : ℝ) ≤ ((37 ^ k : ℕ) : ℝ) := Nat.cast_nonneg _
have hdeg : ((neighbors ambient e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) ≤ 1 / 2 :=
(div_le_div_of_nonneg_right (by exact_mod_cast hdegree) hM).trans hsmall
have hb : (((ownEvent k U e).filter (Bad k U ambient e)).card : ℝ) ≤
(1 / 2) * ((ownEvent k U e).card : ℝ) :=
(bad_card_le k U ambient S hsupport e he).trans
(mul_le_mul_of_nonneg_right hdeg (Nat.cast_nonneg _))
have hg := JointLossCounts.good_card_lower (ownEvent k U e) (Bad k U ambient e)
(1 / 2) hb
rw [ownEvent_card_real] at hg
change _ ≤ ((goodEvent k U ambient e).card : ℝ) at hg
convert hg using 1
ring
theorem goodIncidence_eq (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (coarse : E → Triple P) (e : E) :
goodIncidence (fun s e => Good k U ambient (coarse e) s) e =
(goodEvent k U ambient (coarse e)).card := by
unfold goodIncidence
congr 1
ext s
simp only [Finset.mem_filter, Finset.mem_univ, true_and, mem_goodEvent]
theorem exists_selection_of_degree_bound [Fintype E]
(k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (S : P → ℕ) (coarse : E → Triple P)
(hinj : Function.Injective coarse)
(hsupport : ∀ f ∈ ambient, HasSupportSum S f)
(htarget : ∀ e, coarse e ∈ ambient) (D : ℕ)
(hdegree : ∀ e, (neighbors ambient (coarse e)).card ≤ D)
(hsmall : (D : ℝ) / ((37 ^ k : ℕ) : ℝ) ≤ 1 / 2)
(K : ℕ) (hK : (K : ℝ) ≤ (Fintype.card E : ℝ) *
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2)) :
∃ (s : Sample P k) (G : Finset E), G.card = K ∧
(∀ e ∈ G, Good k U ambient (coarse e) s) ∧
(G : Set E).Pairwise (fun e f => ¬ SharesSide (coarse e) (coarse f)) := by
classical
have hi (e : E) :
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) *
(Fintype.card (Sample P k) : ℝ) ≤
(goodIncidence (fun s e => Good k U ambient (coarse e) s) e : ℝ) := by
rw [goodIncidence_eq]
exact goodEvent_card_lower k U ambient S hsupport (coarse e) (htarget e) D
(hdegree e) hsmall
obtain ⟨s, hs⟩ := exists_goodCount_ge (fun s e => Good k U ambient (coarse e) s) _ hi
have hk : K ≤ goodCount (fun s e => Good k U ambient (coarse e) s) s := by
exact_mod_cast hK.trans hs
obtain ⟨G, hcard, hgood⟩ := exists_good_subfamily
(fun s e => Good k U ambient (coarse e) s) s K hk
refine ⟨s, G, hcard, hgood, ?_⟩
intro e he f hf hne
exact good_no_shared_side k U ambient (coarse e) (coarse f) s
(hgood e he) (hgood f hf) (htarget f) (fun h => hne (hinj h).symm)
theorem exists_selection_floor [Fintype E]
(k : ℕ) (U : Finset (ZMod (37 ^ k)))
(ambient : Finset (Triple P)) (S : P → ℕ) (coarse : E → Triple P)
(hinj : Function.Injective coarse)
(hsupport : ∀ f ∈ ambient, HasSupportSum S f)
(htarget : ∀ e, coarse e ∈ ambient) (D : ℕ)
(hdegree : ∀ e, (neighbors ambient (coarse e)).card ≤ D)
(hsmall : (D : ℝ) / ((37 ^ k : ℕ) : ℝ) ≤ 1 / 2) :
∃ (s : Sample P k) (G : Finset E),
G.card = ⌊(Fintype.card E : ℝ) *
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2)⌋₊ ∧
(∀ e ∈ G, Good k U ambient (coarse e) s) ∧
(G : Set E).Pairwise (fun e f => ¬ SharesSide (coarse e) (coarse f)) := by
apply exists_selection_of_degree_bound k U ambient S coarse hinj hsupport htarget D
hdegree hsmall _ (Nat.floor_le ?_)
positivity
end Finite
def hashLevel (H : ℝ) (N : ℕ) : ℕ := ⌊(N : ℝ) * H / Real.log 37⌋₊ + 1
def hashSet (H : ℝ) (N : ℕ) : Finset (ZMod (37 ^ hashLevel H N)) :=
JointAPFree.modularSet (hashModulus H N)
theorem hashSet_AP (H : ℝ) (N : ℕ) :
∀ x ∈ hashSet H N, ∀ y ∈ hashSet H N, ∀ z ∈ hashSet H N,
x + y = 2 * z → x = z ∧ y = z :=
JointAPFree.modularSet_hashAP (hashModulus H N)
theorem eventually_exists_selection
{P E : ℕ → Type*} [∀ N, Fintype (P N)] [∀ N, Fintype (E N)]
(ambient : ∀ N, Finset (Triple (P N))) (S : ∀ N, P N → ℕ)
(coarse : ∀ N, E N → Triple (P N))
(hinj : ∀ N, Function.Injective (coarse N))
(hsupport : ∀ N, ∀ f ∈ ambient N, HasSupportSum (S N) f)
(htarget : ∀ N e, coarse N e ∈ ambient N)
(degree : ℕ → ℕ)
(hdegree : ∀ N e, (neighbors (ambient N) (coarse N e)).card ≤ degree N)
{A D H : ℝ} (hH : 0 ≤ H) (hgap : D < H)
(hdegreeRate : ∀ η : ℝ, 0 < η →
∀ᶠ N in atTop, Real.log (degree N : ℝ) / (N : ℝ) ≤ D + η)
(hpos : ∀ᶠ N in atTop, 0 < Fintype.card (E N))
(hE : Tendsto (fun N => Real.log (Fintype.card (E N) : ℝ) / (N : ℝ))
atTop (𝓝 A))
{ε : ℝ} (hε : 0 < ε) :
∀ᶠ N in atTop, ∃ (s : Sample (P N) (hashLevel H N)) (G : Finset (E N)),
G.card = ⌊Real.exp ((N : ℝ) * (A - H - ε))⌋₊ ∧
(∀ e ∈ G, Good (hashLevel H N) (hashSet H N) (ambient N) (coarse N e) s) ∧
(G : Set (E N)).Pairwise (fun e f => ¬ SharesSide (coarse N e) (coarse N f)) := by
classical
let c : ℝ := (H - D) / 2
have hc : 0 < c := by dsimp [c]; linarith
have hclt : c < H - D := by dsimp [c]; linarith
have hratio := eventually_degree_div_hashModulus_le_exp hH hdegreeRate hclt
have hsmall : ∀ᶠ N in atTop,
(degree N : ℝ) / (hashModulus H N : ℝ) ≤ 1 / 2 := by
apply eventually_error_le_half 1 0 hc
simpa only [pow_zero, one_mul] using hratio
let good := fun N (s : Sample (P N) (hashLevel H N)) (e : E N) =>
Good (hashLevel H N) (hashSet H N) (ambient N) (coarse N e) s
have hinc : ∀ᶠ N in atTop, ∀ e,
(((JointAPFree.modularSet (hashModulus H N)).card : ℝ) /
(hashModulus H N : ℝ) ^ 2 / 2) *
(Fintype.card (Sample (P N) (hashLevel H N)) : ℝ) ≤
(goodIncidence (good N) e : ℝ) := by
filter_upwards [hsmall] with N hN e
rw [show goodIncidence (good N) e =
(goodEvent (hashLevel H N) (hashSet H N) (ambient N) (coarse N e)).card from
goodIncidence_eq _ _ _ _ _]
exact goodEvent_card_lower (hashLevel H N) (hashSet H N) (ambient N) (S N)
(hsupport N) (coarse N e) (htarget N e) (degree N) (hdegree N e) hN
have hyield := eventually_exists_many_good_explicit good hH hpos hinc hE hε
have hselection := eventually_exists_good_subfamily good
(fun N => ⌊Real.exp ((N : ℝ) * (A - H - ε))⌋₊) hyield
filter_upwards [hselection] with N hN
obtain ⟨s, G, hcard, hgood⟩ := hN
refine ⟨s, G, hcard, hgood, ?_⟩
intro e he f hf hne
exact good_no_shared_side (hashLevel H N) (hashSet H N) (ambient N)
(coarse N e) (coarse N f) s (hgood e he) (hgood f hf) (htarget N f)
(fun h => hne ((hinj N) h).symm)
end MatrixMultiplication.JointOrdinarySelection
namespace MatrixMultiplication.JointMaskedSelection
open JointCoarseHashing JointExtractionRates
attribute [local instance] Classical.propDecidable
variable {P E O V : Type*}
structure OrbitData (P E O V : Type*) where
ambient : Finset (Triple P)
support : P → ℕ
coarse : E → Triple P
support_ambient : ∀ f ∈ ambient, HasSupportSum support f
target_mem : ∀ e, coarse e ∈ ambient
orbits : E → Finset O
full : E → O → Finset V
passing : E → O → Finset V
full_pos : ∀ e, ∀ o ∈ orbits e, 0 < (full e o).card
passing_subset : ∀ e, ∀ o ∈ orbits e, passing e o ⊆ full e o
competitors : E → O → V → Finset (Triple P)
competitor_mem : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o,
∀ f ∈ competitors e o v, f ∈ ambient
competitor_ne : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o,
∀ f ∈ competitors e o v, f ≠ coarse e
competitor_shares : ∀ e, ∀ o ∈ orbits e, ∀ v ∈ passing e o,
∀ f ∈ competitors e o v, SharesSide (coarse e) f
namespace OrbitData
def eligibilityCompetitors (d : OrbitData P E O V) (e : E) : Finset (Triple P) :=
d.ambient.filter (fun f => f ≠ d.coarse e ∧ f.1 = (d.coarse e).1)
@[simp] theorem mem_eligibilityCompetitors (d : OrbitData P E O V) (e : E) (f : Triple P) :
f ∈ d.eligibilityCompetitors e ↔
f ∈ d.ambient ∧ f ≠ d.coarse e ∧ f.1 = (d.coarse e).1 := by
simp only [eligibilityCompetitors, Finset.mem_filter]
section Finite
variable [Fintype P]
def variableBad (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(e : E) (o : O) (v : V) (s : Sample P k) : Prop :=
∃ f ∈ d.competitors e o v, Survives k U f s
def eligibilityGood (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(e : E) (s : Sample P k) : Prop :=
¬ ∃ f ∈ d.eligibilityCompetitors e, Survives k U f s
def Failure (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(N : ℝ) (e : E) (s : Sample P k) : Prop :=
JointLossCounts.targetBad (d.orbits e) (d.full e) (d.passing e)
(d.variableBad k U e) (d.eligibilityGood k U e) N s
def Good (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(N : ℝ) (e : E) (s : Sample P k) : Prop :=
Survives k U (d.coarse e) s ∧ ¬ d.Failure k U N e s
def goodEvent (d : OrbitData P E O V) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(N : ℝ) (e : E) : Finset (Sample P k) :=
(ownEvent k U (d.coarse e)).filter (fun s => ¬ d.Failure k U N e s)
@[simp] theorem mem_goodEvent (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k) :
s ∈ d.goodEvent k U N e ↔ d.Good k U N e s := by
simp only [goodEvent, ownEvent, Finset.mem_filter, Finset.mem_univ, true_and, Good]
theorem variableBad_card_le (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (e : E) (o : O) (ho : o ∈ d.orbits e)
(v : V) (hv : v ∈ d.passing e o) (D : ℕ)
(hdegree : (d.competitors e o v).card ≤ D) :
(((ownEvent k U (d.coarse e)).filter (d.variableBad k U e o v)).card : ℝ) ≤
((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) * ((ownEvent k U (d.coarse e)).card : ℝ) := by
have h := competitor_union_card_le k U d.support (d.coarse e)
(d.support_ambient _ (d.target_mem e)) (d.competitors e o v)
(fun f hf => d.support_ambient f (d.competitor_mem e o ho v hv f hf))
(d.competitor_ne e o ho v hv) (d.competitor_shares e o ho v hv)
have hdegreeR : ((d.competitors e o v).card : ℝ) ≤ (D : ℝ) := by
exact_mod_cast hdegree
have hfilter : (ownEvent k U (d.coarse e)).filter (d.variableBad k U e o v) =
(ownEvent k U (d.coarse e)).filter
(fun s => ∃ f ∈ d.competitors e o v, Survives k U f s) := by
ext s
simp only [Finset.mem_filter, variableBad]
rw [hfilter]
exact h.trans (mul_le_mul_of_nonneg_right
(div_le_div_of_nonneg_right hdegreeR (Nat.cast_nonneg _))
(Nat.cast_nonneg _))
theorem eligibilityFailure_card_le (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (e : E) :
(((ownEvent k U (d.coarse e)).filter (fun s => ¬ d.eligibilityGood k U e s)).card : ℝ) ≤
(((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ)) *
((ownEvent k U (d.coarse e)).card : ℝ) := by
have h := competitor_union_card_le k U d.support (d.coarse e)
(d.support_ambient _ (d.target_mem e)) (d.eligibilityCompetitors e)
(fun f hf => d.support_ambient f ((d.mem_eligibilityCompetitors e f).1 hf).1)
(fun f hf => ((d.mem_eligibilityCompetitors e f).1 hf).2.1)
(fun f hf => Or.inl ((d.mem_eligibilityCompetitors e f).1 hf).2.2)
simpa only [eligibilityGood, not_not] using h
theorem failure_card_le (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (hN : 0 < N) (e : E) (D : ℕ)
(hdegree : ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o, (d.competitors e o v).card ≤ D) :
(((ownEvent k U (d.coarse e)).filter (d.Failure k U N e)).card : ℝ) ≤
(((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) +
((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ))) *
((ownEvent k U (d.coarse e)).card : ℝ) := by
exact JointLossCounts.targetBad_card_le (ownEvent k U (d.coarse e))
(d.orbits e) (d.full e) (d.passing e) (d.variableBad k U e)
(d.eligibilityGood k U e) ((D : ℝ) / ((37 ^ k : ℕ) : ℝ))
(((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ)) N
(div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)) hN (d.full_pos e)
(d.passing_subset e)
(fun o ho v hv => d.variableBad_card_le k U e o ho v hv D (hdegree o ho v hv))
(d.eligibilityFailure_card_le k U e)
theorem ownEvent_card_real (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (e : E) :
((ownEvent k U (d.coarse e)).card : ℝ) =
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2) * (Fintype.card (Sample P k) : ℝ) := by
exact JointOrdinarySelection.ownEvent_card_real k U (d.coarse e)
theorem goodEvent_card_lower (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (hN : 0 < N) (e : E) (D : ℕ)
(hdegree : ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o, (d.competitors e o v).card ≤ D)
(hsmall : ((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) +
((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) ≤ 1 / 2) :
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) *
(Fintype.card (Sample P k) : ℝ) ≤ (d.goodEvent k U N e).card := by
have hb : (((ownEvent k U (d.coarse e)).filter (d.Failure k U N e)).card : ℝ) ≤
(1 / 2) * ((ownEvent k U (d.coarse e)).card : ℝ) :=
(d.failure_card_le k U N hN e D hdegree).trans
(mul_le_mul_of_nonneg_right hsmall (Nat.cast_nonneg _))
have hg := JointLossCounts.good_card_lower (ownEvent k U (d.coarse e))
(d.Failure k U N e) (1 / 2) hb
rw [d.ownEvent_card_real] at hg
change _ ≤ ((d.goodEvent k U N e).card : ℝ) at hg
convert hg using 1
ring
theorem goodIncidence_eq (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) :
goodIncidence (fun s e => d.Good k U N e s) e = (d.goodEvent k U N e).card := by
unfold goodIncidence
congr 1
ext s
simp only [Finset.mem_filter, Finset.mem_univ, true_and, mem_goodEvent]
theorem good_eligibility (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (e : E) (s : Sample P k)
(hg : d.Good k U N e s) : d.eligibilityGood k U e s := by
by_contra h
exact hg.2 (Or.inl h)
theorem good_no_shared_x (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (N : ℝ) (e f : E) (s : Sample P k)
(he : d.Good k U N e s) (hf : d.Good k U N f s)
(hne : d.coarse f ≠ d.coarse e) : (d.coarse f).1 ≠ (d.coarse e).1 := by
intro hx
exact d.good_eligibility k U N e s he
⟨d.coarse f, (d.mem_eligibilityCompetitors e _).2 ⟨d.target_mem f, hne, hx⟩, hf.1⟩
theorem good_missingFraction_le (d : OrbitData P E O V) (k : ℕ)
(U : Finset (ZMod (37 ^ k))) (C₀ N : ℝ) (e : E) (s : Sample P k)
(hg : d.Good k U N e s)
(hdet : ∀ o ∈ d.orbits e,
JointLossCounts.deterministicLossFraction (d.full e o) (d.passing e o) ≤ C₀ / N)
(o : O) (ho : o ∈ d.orbits e) :
JointLossCounts.missingFraction (d.full e o) (d.passing e o)
(d.variableBad k U e o) s ≤ (C₀ + 1) / N :=
JointLossCounts.good_missingFraction_le (d.orbits e) (d.full e) (d.passing e)
(d.variableBad k U e) (d.eligibilityGood k U e) C₀ N s hg.2
(d.passing_subset e) hdet o ho
theorem exists_selection [Fintype E] (d : OrbitData P E O V)
(hinj : Function.Injective d.coarse) (k : ℕ) (U : Finset (ZMod (37 ^ k)))
(C₀ N : ℝ) (hN : 0 < N) (D K : ℕ)
(hdegree : ∀ e, ∀ o ∈ d.orbits e, ∀ v ∈ d.passing e o,
(d.competitors e o v).card ≤ D)
(hsmall : ∀ e, ((d.eligibilityCompetitors e).card : ℝ) / ((37 ^ k : ℕ) : ℝ) +
((d.orbits e).card : ℝ) * N * ((D : ℝ) / ((37 ^ k : ℕ) : ℝ)) ≤ 1 / 2)
(hdet : ∀ e, ∀ o ∈ d.orbits e,
JointLossCounts.deterministicLossFraction (d.full e o) (d.passing e o) ≤ C₀ / N)
(hK : (K : ℝ) ≤ (Fintype.card E : ℝ) *
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2)) :
∃ (s : Sample P k) (G : Finset E), G.card = K ∧
(∀ e ∈ G, d.Good k U N e s) ∧
(∀ e ∈ G, ∀ f ∈ G, e ≠ f → (d.coarse e).1 ≠ (d.coarse f).1) ∧
∀ e ∈ G, ∀ o ∈ d.orbits e,
JointLossCounts.missingFraction (d.full e o) (d.passing e o)
(d.variableBad k U e o) s ≤ (C₀ + 1) / N := by
classical
have hi (e : E) :
((U.card : ℝ) / ((37 ^ k : ℕ) : ℝ) ^ 2 / 2) *
(Fintype.card (Sample P k) : ℝ) ≤
(goodIncidence (fun s e => d.Good k U N e s) e : ℝ) := by
rw [d.goodIncidence_eq]
exact d.goodEvent_card_lower k U N hN e D (hdegree e) (hsmall e)
obtain ⟨s, hs⟩ := exists_goodCount_ge (fun s e => d.Good k U N e s) _ hi
have hk : K ≤ goodCount (fun s e => d.Good k U N e s) s := by exact_mod_cast hK.trans hs
obtain ⟨G, hcard, hgood⟩ := exists_good_subfamily (fun s e => d.Good k U N e s) s K hk
refine ⟨s, G, hcard, hgood, ?_, ?_⟩
· intro e he f hf hne
exact d.good_no_shared_x k U N f e s (hgood f hf) (hgood e he)
(fun h => hne (hinj h))
· intro e he o ho
exact d.good_missingFraction_le k U C₀ N e s (hgood e he) (hdet e) o ho
end Finite
end OrbitData
end MatrixMultiplication.JointMaskedSelection
end
end
end MatrixAllFields
end OAI