roseking's picture
Add lean source and binary files (part 46)
5d5048e verified
Raw History Blame Contribute Delete
9.97 kB
import OAI.Combinatorics.LowSpaceSubsetSum.Representation.RepresentationChosenStreams
import OAI.Combinatorics.LowSpaceSubsetSum.Counting.FixedBuckets
namespace OAI
/-! # The concrete extra-prime parameter and its hashing bounds -/
noncomputable section
namespace LowSpaceSubsetSum.RepresentationSetup
open scoped BigOperators
variable {n : ℕ} (R : RepresentationSetup n)
theorem filterDeficit_mono (z : Layout n) : Monotone (R.filterDeficit z) := by
intro i j hij
have h := R.lowExponent_antitone z hij
rw [R.lowExponent_eq_half_sub, R.lowExponent_eq_half_sub] at h
linarith
theorem filterDeficit_nonneg (z : Layout n) (i : Fin 3) : 0 ≤ R.filterDeficit z i :=
le_min (by positivity) (div_nonneg (deficiency_nonneg _ _) (by norm_num))
/-- This is the manuscript's maximum over the three ordered mixers. -/
def extraPrimeRate (z : Layout n) : ℝ :=
extraPrimeExponent n (mixerSize n) (R.filterDeficit z 2)
theorem extraPrimeRate_max (z : Layout n) :
R.extraPrimeRate z = extraPrimeExponent n (mixerSize n)
(max (R.filterDeficit z 0) (max (R.filterDeficit z 1) (R.filterDeficit z 2))) := by
rw [max_eq_right (R.filterDeficit_mono z (by decide : (1 : Fin 3) ≤ 2)),
max_eq_right (R.filterDeficit_mono z (by decide : (0 : Fin 3) ≤ 2))]
rfl
/-- The actual integer sampling parameter, including both floors. -/
def extraPrimeParameter (z : Layout n) : ℕ :=
⌊(n : ℝ) / 4 + (4 / 125 : ℝ) * mixerSize n - (mixerSize n : ℝ) / 2 +
(min ⌊R.lowExponent z 0⌋₊ (min ⌊R.lowExponent z 1⌋₊ ⌊R.lowExponent z 2⌋₊) : ℕ)⌋₊
theorem extraPrimeParameter_eq (z : Layout n) :
R.extraPrimeParameter z =
⌊(n : ℝ) / 4 + (4 / 125 : ℝ) * mixerSize n - (mixerSize n : ℝ) / 2 +
(⌊R.lowExponent z 2⌋₊ : ℝ)⌋₊ := by
have h12 := Nat.floor_mono (R.lowExponent_antitone z (by decide : (1 : Fin 3) ≤ 2))
have h02 := Nat.floor_mono (R.lowExponent_antitone z (by decide : (0 : Fin 3) ≤ 2))
simp only [extraPrimeParameter, min_eq_right h12, min_eq_right h02]
theorem extraPrimeRate_bounds (z : Layout n) :
(1211 / 5000 : ℝ) * n ≤ R.extraPrimeRate z ∧
R.extraPrimeRate z ≤ (3221 / 12500 : ℝ) * n := by
have hf := R.filterDeficit_le_tau z 2
have hf0 := R.filterDeficit_nonneg z 2
have hm0 : (0 : ℝ) ≤ mixerSize n := Nat.cast_nonneg _
have hm := (mixerSize_bounds n).2
dsimp only [extraPrimeRate, extraPrimeExponent]
constructor <;> linarith
theorem extraPrimeParameter_bounds (z : Layout n) (hn : 100 ≤ n) :
R.extraPrimeRate z - 2 < (R.extraPrimeParameter z : ℝ) ∧
(R.extraPrimeParameter z : ℝ) ≤ R.extraPrimeRate z := by
rw [R.extraPrimeParameter_eq]
have hl := Nat.lt_floor_add_one (R.lowExponent z 2)
have hu := Nat.floor_le (R.lowExponent_nonneg z 2)
have he := R.lowExponent_eq_half_sub z 2
have hx := (R.extraPrimeRate_bounds z).1
have hnR : (100 : ℝ) ≤ n := by exact_mod_cast hn
let y := (n : ℝ) / 4 + (4 / 125 : ℝ) * mixerSize n - (mixerSize n : ℝ) / 2 +
(⌊R.lowExponent z 2⌋₊ : ℝ)
have hylo : R.extraPrimeRate z - 1 < y := by
dsimp only [extraPrimeRate, extraPrimeExponent, y] at *
linarith
have hyhi : y ≤ R.extraPrimeRate z := by
dsimp only [extraPrimeRate, extraPrimeExponent, y] at *
linarith
have hy0 : 0 ≤ y := by linarith
have hyl := Nat.lt_floor_add_one y
have hyu := Nat.floor_le hy0
change R.extraPrimeRate z - 2 < (⌊y⌋₊ : ℝ) ∧ (⌊y⌋₊ : ℝ) ≤ R.extraPrimeRate z
constructor <;> linarith
theorem extraPrimeParameter_range (z : Layout n) (hn : 100 ≤ n) :
4 ≤ R.extraPrimeParameter z ∧ R.extraPrimeParameter z ≤ n := by
have h := R.extraPrimeParameter_bounds z hn
have hx := R.extraPrimeRate_bounds z
have hnR : (100 : ℝ) ≤ n := by exact_mod_cast hn
constructor
· have hl : (4 : ℝ) ≤ R.extraPrimeParameter z := by linarith
exact_mod_cast hl
· have hu : (R.extraPrimeParameter z : ℝ) ≤ n := by linarith
exact_mod_cast hu
/-- Rejection sampling in the full bit range has inverse-polynomial density. -/
theorem extraPrime_density (z : Layout n) (hn : 100 ≤ n) :
1 / (4 * (n : ℝ)) ≤
((primeRange (R.extraPrimeParameter z)).card : ℝ) /
(2 : ℝ) ^ R.extraPrimeParameter z := by
have hr := R.extraPrimeParameter_range z hn
have hc : (2 : ℝ) ^ R.extraPrimeParameter z ≤
4 * R.extraPrimeParameter z * (primeRange (R.extraPrimeParameter z)).card := by
exact_mod_cast primeRange_card_lower hr.1
have he : (R.extraPrimeParameter z : ℝ) ≤ n := by exact_mod_cast hr.2
have hnR : (100 : ℝ) ≤ n := by exact_mod_cast hn
have hm := mul_le_mul_of_nonneg_right he
(show 0 ≤ (primeRange (R.extraPrimeParameter z)).card * (4 : ℝ) by positivity)
apply (div_le_div_iff₀ (by positivity) (by positivity)).mpr
nlinarith
/-- Every sampled extra prime has the manuscript's actual size bounds. -/
theorem extraPrime_size (z : Layout n) (hn : 100 ≤ n) {q : ℕ}
(hq : q ∈ primeRange (R.extraPrimeParameter z)) :
(2 : ℝ) ^ R.extraPrimeRate z / (inputScale R.input : ℝ) ^ 2 ≤ q ∧
(q : ℝ) ≤ (2 : ℝ) ^ R.extraPrimeRate z := by
have hr := R.extraPrimeParameter_range z hn
have hf := R.extraPrimeParameter_bounds z hn
have hu : (100 : ℝ) ≤ inputScale R.input := by
exact_mod_cast (show 100 ≤ inputScale R.input by unfold inputScale; omega)
have hellu : (R.extraPrimeParameter z : ℝ) ≤ inputScale R.input := by
exact_mod_cast (show R.extraPrimeParameter z ≤ inputScale R.input by
exact hr.2.trans (by unfold inputScale; omega))
have hqlo : (2 : ℝ) ^ R.extraPrimeParameter z ≤
4 * R.extraPrimeParameter z * (q : ℝ) := by
exact_mod_cast (Finset.mem_filter.mp hq).2
have hq0 : (0 : ℝ) ≤ q := Nat.cast_nonneg _
have hp : (2 : ℝ) ^ R.extraPrimeRate z ≤
4 * (2 : ℝ) ^ R.extraPrimeParameter z := by
calc
_ ≤ (2 : ℝ) ^ ((R.extraPrimeParameter z : ℝ) + 2) :=
Real.rpow_le_rpow_of_exponent_le (by norm_num) (by linarith)
_ = _ := by rw [Real.rpow_add (by norm_num), Real.rpow_natCast]; norm_num; ring
constructor
· apply (div_le_iff₀ (by positivity : (0 : ℝ) < (inputScale R.input : ℝ) ^ 2)).mpr
have hku := mul_le_mul_of_nonneg_right hellu hq0
have hu2 : 16 * (inputScale R.input : ℝ) ≤ (inputScale R.input : ℝ) ^ 2 := by nlinarith
have huu := mul_le_mul_of_nonneg_right hu2 hq0
nlinarith
· have hqhi : (q : ℝ) ≤ (2 : ℝ) ^ R.extraPrimeParameter z := by
exact_mod_cast (primeRange_lt hr.1 hq).le
apply hqhi.trans
simpa only [Real.rpow_natCast] using
Real.rpow_le_rpow_of_exponent_le (by norm_num : (1 : ℝ) ≤ 2) hf.2
/-- Prime hashing bound with the paper's simplified cubic input-scale factor. -/
theorem extraPrime_collision (z : Layout n) (hn : 100 ≤ n) (X : Finset ℤ)
(hbits : ∀ x ∈ X, ∀ y ∈ X, (x - y).natAbs < 2 ^ (2 * inputScale R.input)) :
PairwiseCollisionBound (primeRange (R.extraPrimeParameter z))
(primeProbability (R.extraPrimeParameter z)) X
(fun q x => x % (q : ℤ))
((inputScale R.input : ℝ) ^ 3 / (2 : ℝ) ^ R.extraPrimeRate z) := by
have hr := R.extraPrimeParameter_range z hn
have hellu : R.extraPrimeParameter z ≤ inputScale R.input :=
hr.2.trans (by unfold inputScale; omega)
have hcol := prime_pairwise_collision_bound X hr.1 hellu hbits
have hu : (100 : ℝ) ≤ inputScale R.input := by
exact_mod_cast (show 100 ≤ inputScale R.input by unfold inputScale; omega)
have hpow : (2 : ℝ) ^ R.extraPrimeRate z ≤
4 * (2 : ℝ) ^ R.extraPrimeParameter z := by
calc
_ ≤ (2 : ℝ) ^ ((R.extraPrimeParameter z : ℝ) + 2) :=
Real.rpow_le_rpow_of_exponent_le (by norm_num)
(by linarith [(R.extraPrimeParameter_bounds z hn).1])
_ = _ := by rw [Real.rpow_add (by norm_num), Real.rpow_natCast]; norm_num; ring
have hdelta : 8 * (inputScale R.input : ℝ) ^ 2 /
(2 : ℝ) ^ R.extraPrimeParameter z ≤
(inputScale R.input : ℝ) ^ 3 / (2 : ℝ) ^ R.extraPrimeRate z := by
apply (div_le_div_iff₀ (by positivity) (by positivity)).mpr
have hu3 : 32 * (inputScale R.input : ℝ) ^ 2 ≤ (inputScale R.input : ℝ) ^ 3 := by
nlinarith [mul_nonneg (show 0 ≤ (inputScale R.input : ℝ) - 32 by linarith)
(sq_nonneg (inputScale R.input : ℝ))]
have he3 := mul_le_mul_of_nonneg_right hu3
(show 0 ≤ (2 : ℝ) ^ R.extraPrimeParameter z by positivity)
nlinarith [mul_le_mul_of_nonneg_left hpow
(show 0 ≤ 8 * (inputScale R.input : ℝ) ^ 2 by positivity)]
intro x hx y hy hxy
exact (hcol x hx y hy hxy).trans hdelta
/-- Using the full parent modulus adds no coprimality assumption: a collision
modulo its product with `q` is in particular a collision modulo `q`. -/
theorem extraPrime_product_collision (z : Layout n) (hn : 100 ≤ n)
(p0 : ℕ) (X : Finset ℤ)
(hbits : ∀ x ∈ X, ∀ y ∈ X, (x - y).natAbs < 2 ^ (2 * inputScale R.input)) :
PairwiseCollisionBound (primeRange (R.extraPrimeParameter z))
(primeProbability (R.extraPrimeParameter z)) X
(fun q x => x % ((p0 : ℤ) * q))
((inputScale R.input : ℝ) ^ 3 / (2 : ℝ) ^ R.extraPrimeRate z) := by
have hc := R.extraPrime_collision z hn X hbits
intro x hx y hy hxy
apply le_trans _ (hc x hx y hy hxy)
apply Finset.sum_le_sum
intro q _
have hprob : 0 ≤ primeProbability (R.extraPrimeParameter z) q := by
unfold primeProbability
positivity
by_cases hp : x % ((p0 : ℤ) * q) = y % ((p0 : ℤ) * q)
· have hq : x % (q : ℤ) = y % (q : ℤ) :=
(show Int.ModEq ((p0 : ℤ) * q) x y from hp).of_dvd
(show (q : ℤ) ∣ (p0 : ℤ) * q from ⟨p0, by ring⟩)
simp only [hp, hq, ↓reduceIte, le_refl]
· simp only [hp, ↓reduceIte, mul_zero]
split_ifs <;> positivity
end LowSpaceSubsetSum.RepresentationSetup
end
end OAI