import OAI.Combinatorics.LowSpaceSubsetSum.Separators.SeparatorExpectation import Mathlib.Data.Nat.Choose.Bounds namespace OAI /-! # Finite rounded family sizes and expected incidence bounds -/ noncomputable section namespace LowSpaceSubsetSum.SeparatorExpectation /-- Rounding the sampled family size costs at most one extra trial. -/ theorem rounded_family_mass {θ : ℝ} (hθ : 0 < θ) (hθ1 : θ ≤ 1) : (⌈10 / θ⌉₊ : ℝ) * θ ≤ 11 := by have h := (Nat.ceil_lt_add_one (show 0 ≤ 10 / θ by positivity)).le have hm := mul_le_mul_of_nonneg_right h hθ.le rw [add_mul, div_mul_cancel₀ _ hθ.ne', one_mul] at hm linarith theorem rounded_family_incidence (A D N : ℕ) (hD : 0 < D) (hN : 0 < N) (hDN : D ≤ N) : (⌈10 / ((D : ℝ) / N)⌉₊ : ℝ) * ((A : ℝ) / N) ≤ 11 * ((A : ℝ) / D) := by have hDR : (0 : ℝ) < D := by exact_mod_cast hD have hNR : (0 : ℝ) < N := by exact_mod_cast hN have hθ1 : (D : ℝ) / N ≤ 1 := (div_le_one hNR).mpr (by exact_mod_cast hDN) have hm := rounded_family_mass (div_pos hDR hNR) hθ1 have he : (⌈10 / ((D : ℝ) / N)⌉₊ : ℝ) * ((A : ℝ) / N) = ((⌈10 / ((D : ℝ) / N)⌉₊ : ℝ) * ((D : ℝ) / N)) * ((A : ℝ) / D) := by field_simp rw [he] exact mul_le_mul_of_nonneg_right hm (by positivity) /-- This bound is uniform over every admissible sampled family. -/ theorem rounded_family_size (g e c : ℕ) (he : e ≤ g) (hfeas : e - c ≤ g / 2) (hDN : (g / 2).choose (e - c) ≤ g.choose e) : ⌈10 / ((Nat.choose (g / 2) (e - c) : ℝ) / Nat.choose g e)⌉₊ ≤ 11 * 2 ^ g := by have hD : 0 < (g / 2).choose (e - c) := Nat.choose_pos hfeas have hN : 0 < g.choose e := Nat.choose_pos he have hm := rounded_family_incidence (g.choose e) ((g / 2).choose (e - c)) (g.choose e) hD hN hDN have hNR : (0 : ℝ) < g.choose e := by exact_mod_cast hN rw [div_self hNR.ne', mul_one] at hm have hr : (g.choose e : ℝ) / (g / 2).choose (e - c) ≤ g.choose e := by apply div_le_self (by positivity) exact_mod_cast hD have hb : (⌈10 / ((Nat.choose (g / 2) (e - c) : ℝ) / Nat.choose g e)⌉₊ : ℝ) ≤ 11 * (2 : ℝ) ^ g := by calc _ ≤ 11 * ((g.choose e : ℝ) / (g / 2).choose (e - c)) := hm _ ≤ 11 * (g.choose e : ℝ) := mul_le_mul_of_nonneg_left hr (by norm_num) _ ≤ _ := mul_le_mul_of_nonneg_left (by exact_mod_cast Nat.choose_le_two_pow g e) (by norm_num) exact_mod_cast hb theorem rounded_family_depth (g e c : ℕ) (he : e ≤ g) (hfeas : e - c ≤ g / 2) (hDN : (g / 2).choose (e - c) ≤ g.choose e) : Nat.clog 2 (⌈10 / ((Nat.choose (g / 2) (e - c) : ℝ) / Nat.choose g e)⌉₊) ≤ g + 4 := by apply Nat.clog_le_of_le_pow have h := rounded_family_size g e c he hfeas hDN calc _ ≤ 11 * 2 ^ g := h _ ≤ 2 ^ (g + 4) := by rw [pow_add]; norm_num; omega end LowSpaceSubsetSum.SeparatorExpectation end end OAI