import OAI.Combinatorics.GraphThreshold.Basic import Mathlib.Analysis.Complex.ExponentialBounds import Mathlib.Data.Nat.Choose.Sum import Mathlib.Tactic namespace OAI noncomputable section open Finset namespace LeanBlast.SecondKahnKalai theorem two_lt_exp_one : (2 : ℝ) < Real.exp 1 := Real.exp_one_gt_two theorem exp_one_lt_three : Real.exp 1 < (3 : ℝ) := Real.exp_one_lt_three /-- The strict numerical estimate used to rule out large maximizing predecessors in the graph hierarchy. -/ theorem predecessor_power_lt_one {r : ℕ} (hr : 1 ≤ r) : 2 * (17 * Real.exp 1 / 128) ^ r < 1 := by have hbase0 : 0 ≤ 17 * Real.exp 1 / 128 := by positivity have hbase : 17 * Real.exp 1 / 128 < (1 / 2 : ℝ) := by nlinarith [exp_one_lt_three] have hp : (17 * Real.exp 1 / 128) ^ r ≤ 17 * Real.exp 1 / 128 := pow_le_of_le_one hbase0 (by linarith) (by omega) linarith theorem exp_neg_fifty_lt_one : Real.exp (-50) < 1 := by exact Real.exp_lt_one_iff.mpr (by norm_num) theorem one_add_le_exp_one_of_le_exp_neg_fifty {q : ℝ} (hq : q ≤ Real.exp (-50)) : 1 + q ≤ Real.exp 1 := by linarith [exp_neg_fifty_lt_one, two_lt_exp_one] theorem one_add_pow_le_exp_nat {q : ℝ} (hq0 : 0 ≤ q) (hq : q ≤ Real.exp (-50)) (m : ℕ) : (1 + q) ^ m ≤ Real.exp (m : ℝ) := by calc (1 + q) ^ m ≤ Real.exp 1 ^ m := pow_le_pow_left₀ (by positivity) (one_add_le_exp_one_of_le_exp_neg_fifty hq) m _ = Real.exp (m : ℝ) := by rw [← Real.exp_nat_mul]; simp theorem two_pow_le_exp_nat (m : ℕ) : (2 : ℝ) ^ m ≤ Real.exp (m : ℝ) := by calc (2 : ℝ) ^ m ≤ Real.exp 1 ^ m := pow_le_pow_left₀ (by norm_num) two_lt_exp_one.le m _ = Real.exp (m : ℝ) := by rw [← Real.exp_nat_mul]; simp /-- A term beyond half the capacity has the required exponential decay. -/ theorem large_intersection_power_le {m r : ℕ} {q : ℝ} (hq0 : 0 ≤ q) (hq : q ≤ Real.exp (-50)) (hr : m < 2 * r) : q ^ r ≤ Real.exp (-25 * (m : ℝ)) := by have hr' : (m : ℝ) < 2 * (r : ℝ) := by exact_mod_cast hr calc q ^ r ≤ Real.exp (-50) ^ r := pow_le_pow_left₀ hq0 hq r _ = Real.exp ((r : ℝ) * (-50)) := (Real.exp_nat_mul _ _).symm _ ≤ Real.exp (-25 * (m : ℝ)) := Real.exp_le_exp.mpr (by linarith) /-- The finite binomial upper tail used by the resampling argument. -/ def largeIntersectionTail (m : ℕ) (q : ℝ) : ℝ := ∑ r ∈ range (m + 1), if m < 2 * r then (m.choose r : ℝ) * q ^ r else 0 theorem largeIntersectionTail_le {m : ℕ} {q : ℝ} (hq0 : 0 ≤ q) (hq : q ≤ Real.exp (-50)) : largeIntersectionTail m q ≤ (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) := by have hsum : (∑ r ∈ range (m + 1), (m.choose r : ℝ)) = (2 : ℝ) ^ m := by exact_mod_cast Nat.sum_range_choose m unfold largeIntersectionTail calc (∑ r ∈ range (m + 1), if m < 2 * r then (m.choose r : ℝ) * q ^ r else 0) ≤ ∑ r ∈ range (m + 1), (m.choose r : ℝ) * Real.exp (-25 * (m : ℝ)) := by apply sum_le_sum intro r hr split_ifs with h · exact mul_le_mul_of_nonneg_left (large_intersection_power_le hq0 hq h) (by positivity) · positivity _ = (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) := by rw [← sum_mul, hsum] theorem local_failure_exponential_combine {m : ℕ} (hm : 1 ≤ m) : Real.exp (-10 * (m : ℝ)) + Real.exp (10 * (m : ℝ)) * (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) ≤ Real.exp (-9 * (m : ℝ)) := by have hm0 : 0 ≤ (m : ℝ) := Nat.cast_nonneg m have hm1 : 1 ≤ (m : ℝ) := by exact_mod_cast hm have hterm : Real.exp (10 * (m : ℝ)) * (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) ≤ Real.exp (-10 * (m : ℝ)) := by calc Real.exp (10 * (m : ℝ)) * (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) ≤ Real.exp (10 * (m : ℝ)) * Real.exp (m : ℝ) * Real.exp (-25 * (m : ℝ)) := by gcongr exact two_pow_le_exp_nat m _ = Real.exp (-14 * (m : ℝ)) := by rw [← Real.exp_add, ← Real.exp_add]; congr 1; ring _ ≤ Real.exp (-10 * (m : ℝ)) := Real.exp_le_exp.mpr (by linarith) have htwo : (2 : ℝ) ≤ Real.exp (m : ℝ) := two_lt_exp_one.le.trans (Real.exp_le_exp.mpr hm1) calc Real.exp (-10 * (m : ℝ)) + Real.exp (10 * (m : ℝ)) * (2 : ℝ) ^ m * Real.exp (-25 * (m : ℝ)) ≤ 2 * Real.exp (-10 * (m : ℝ)) := by linarith _ ≤ Real.exp (m : ℝ) * Real.exp (-10 * (m : ℝ)) := by gcongr _ = Real.exp (-9 * (m : ℝ)) := by rw [← Real.exp_add]; congr 1; ring end LeanBlast.SecondKahnKalai end end OAI