import OAI.Probability.SATVariance.LifetimeSharpness namespace OAI noncomputable section open MeasureTheory ProbabilityTheory Filter open scoped Classical ENNReal Topology namespace RandomKSAT lemma sharp_parameters {k g : ℕ} (hg : 2 ≤ g) : g^(k+1) ≤ g^(k+2) ∧ k ≤ g^(k+1) ∧ 0 < g^(k+2) := by refine ⟨?_, ?_, by positivity⟩ · exact Nat.pow_le_pow_right (by omega) (by omega) · exact (Nat.le_of_lt Nat.lt_two_pow_self).trans ((Nat.pow_le_pow_left hg k).trans (Nat.pow_le_pow_right (by omega) (by omega))) lemma replacement_scaled_limit (k : ℕ) (hk : 3 ≤ k) : Tendsto (fun g : ℕ => (g : ℝ)^(k-1) * blockKill (g^(k+2)) k (subcube (g^(k+2)) (g^(k+1))) g) atTop (𝓝 (((2 : ℝ)^k)⁻¹)) := by let h := fun g : ℕ => killRatio (g^(k+2)) (g^(k+1)) k have hlim : Tendsto (fun g : ℕ => (g : ℝ)^k * h g) atTop (𝓝 (((2 : ℝ)^k)⁻¹)) := killRatio_limit (by omega : 0 < k+1) k have elo : Tendsto (fun g : ℕ => ((g : ℝ)^k * h g)^2 / (g : ℝ)^(k-1)) atTop (𝓝 0) := (hlim.pow 2).div_atTop (tendsto_nat_pow_real (k-1) (by omega)) have elo' : Tendsto (fun g : ℕ => (g : ℝ)^k * h g - ((g : ℝ)^k * h g)^2 / (g : ℝ)^(k-1)) atTop (𝓝 (((2 : ℝ)^k)⁻¹)) := by simpa using hlim.sub elo have eup : Tendsto (fun g : ℕ => (g : ℝ)^k * h g + (k : ℝ)^2 / g) atTop (𝓝 (((2 : ℝ)^k)⁻¹)) := by simpa using hlim.add (tendsto_const_div_atTop_nhds_zero_nat ((k : ℝ)^2)) apply tendsto_of_tendsto_of_tendsto_of_le_of_le' elo' eup · filter_upwards [eventually_ge_atTop 2] with g hg obtain ⟨hbu, hkb, hu⟩ := sharp_parameters (k := k) hg have hl := mul_le_mul_of_nonneg_left (subcube_block_lower hbu (hkb.trans hbu) g) (pow_nonneg (Nat.cast_nonneg g) (k-1)) have he : (g : ℝ)^(k-1) * ((g : ℝ) * h g - (g : ℝ)^2 * (h g)^2) = (g : ℝ)^k * h g - ((g : ℝ)^k * h g)^2 / (g : ℝ)^(k-1) := by have hg0 : (g : ℝ) ≠ 0 := by positivity have hk' : k = (k-1)+1 := by omega have hpow : (g : ℝ)^k = (g : ℝ)^(k-1) * g := by conv_lhs => rw [hk'] rw [pow_succ] rw [hpow] simp only [pow_succ] field_simp rwa [show killRatio (g^(k+2)) (g^(k+1)) k = h g from rfl, he] at hl · filter_upwards [eventually_ge_atTop 2] with g hg obtain ⟨hbu, hkb, hu⟩ := sharp_parameters (k := k) hg have hl := mul_le_mul_of_nonneg_left (subcube_block_upper hu hbu (hkb.trans hbu) g) (pow_nonneg (Nat.cast_nonneg g) (k-1)) have he : (g : ℝ)^(k-1) * ((g : ℝ) * h g + (g : ℝ)^2 * (k : ℝ)^2 / (g^(k+2) : ℕ)) = (g : ℝ)^k * h g + (k : ℝ)^2 / g := by have hg0 : (g : ℝ) ≠ 0 := by positivity have hk' : k = (k-1)+1 := by omega have hk2 : k+2 = (k-1)+3 := by omega rw [hk2] have hpow : (g : ℝ)^k = (g : ℝ)^(k-1) * g := by conv_lhs => rw [hk'] rw [pow_succ] rw [hpow] push_cast simp only [pow_succ] field_simp rwa [show killRatio (g^(k+2)) (g^(k+1)) k = h g from rfl, he] at hl lemma replacement_gap_scaled_limit (k : ℕ) (hk : 3 ≤ k) : Tendsto (fun g : ℕ => (g : ℝ)^(k-1) * (blockKill (g^(k+2)) (k-1) (subcube (g^(k+2)) (g^(k+1))) 1 - blockKill (g^(k+2)) k (subcube (g^(k+2)) (g^(k+1))) g)) atTop (𝓝 (((2 : ℝ)^k)⁻¹)) := by have hq := killRatio_limit (by omega : 0 < k+1) (k-1) have hr := replacement_scaled_limit k hk have hc : ((2 : ℝ)^(k-1))⁻¹ - ((2 : ℝ)^k)⁻¹ = ((2 : ℝ)^k)⁻¹ := by have he : k = (k-1)+1 := by omega conv_lhs => rhs; rw [he, pow_succ] conv_rhs => rw [he, pow_succ] field_simp ring have hh := hq.sub hr rw [hc] at hh apply hh.congr' filter_upwards [eventually_ge_atTop 2] with g hg obtain ⟨hbu, hkb, hu⟩ := sharp_parameters (k := k) hg rw [subcube_one hbu (by omega : k-1 ≤ g^(k+2))] ring theorem replacement_sharp (k : ℕ) (hk : 3 ≤ k) : ∃ u : ℕ → ℕ, ∃ S : ∀ g, Finset (Assignment (u g)), (∀ g, 2 ≤ g → k ≤ u g ∧ (S g).Nonempty) ∧ Asymptotics.IsEquivalent Filter.atTop (fun g => blockKill (u g) (k-1) (S g) 1 - blockKill (u g) k (S g) g) (fun g => ((2 : ℝ)^k)⁻¹ * (g : ℝ)^(-((k-1 : ℕ) : ℝ))) := by refine ⟨fun g => g^(k+2), fun g => subcube (g^(k+2)) (g^(k+1)), ?_, ?_⟩ · intro g hg obtain ⟨hbu, hkb, hu⟩ := sharp_parameters (k := k) hg exact ⟨hkb.trans hbu, subcube_nonempty _ _⟩ · have hc : ((2 : ℝ)^k)⁻¹ ≠ 0 := by positivity apply (Asymptotics.isEquivalent_iff_tendsto_one (by filter_upwards [eventually_ge_atTop 2] with g hg exact mul_ne_zero hc (ne_of_gt (Real.rpow_pos_of_pos (by positivity) _)))).mpr have hh := (replacement_gap_scaled_limit k hk).div_const (((2 : ℝ)^k)⁻¹) rw [div_self hc] at hh apply hh.congr' filter_upwards [eventually_ge_atTop 2] with g hg simp only [Pi.div_apply] rw [Real.rpow_neg (by positivity), Real.rpow_natCast] field_simp theorem no_uniform_littleO_error (k : ℕ) (hk : 3 ≤ k) : ¬ ∃ e : ℕ → ℝ, Asymptotics.IsLittleO Filter.atTop e (fun g => (g : ℝ)^(-((k-1 : ℕ) : ℝ))) ∧ ∀ u, k ≤ u → ∀ S : Finset (Assignment u), S.Nonempty → ∀ g, 2 ≤ g → blockKill u (k-1) S 1 - e g ≤ blockKill u k S g := by rintro ⟨e, he, hbound⟩ have hc : 0 < ((2 : ℝ)^k)⁻¹ := by positivity have hp := (replacement_gap_scaled_limit k hk).eventually_const_lt (show ((2 : ℝ)^k)⁻¹ / 2 < ((2 : ℝ)^k)⁻¹ by linarith) have hsmall := he.tendsto_div_nhds_zero.eventually_lt_const (show (0 : ℝ) < ((2 : ℝ)^k)⁻¹ / 2 by positivity) obtain ⟨g, hg, hp, he'⟩ := ((eventually_ge_atTop 2).and (hp.and hsmall)).exists obtain ⟨hbu, hkb, hu⟩ := sharp_parameters (k := k) hg have hb := hbound (g^(k+2)) (hkb.trans hbu) (subcube (g^(k+2)) (g^(k+1))) (subcube_nonempty _ _) g hg have hb' : blockKill (g^(k+2)) (k-1) (subcube (g^(k+2)) (g^(k+1))) 1 - blockKill (g^(k+2)) k (subcube (g^(k+2)) (g^(k+1))) g ≤ e g := by linarith have hm := mul_le_mul_of_nonneg_left hb' (pow_nonneg (Nat.cast_nonneg (α := ℝ) g) (k-1)) rw [Real.rpow_neg (by positivity), Real.rpow_natCast, div_inv_eq_mul] at he' nlinarith end RandomKSAT end end OAI