import OAI.Analysis.FiniteFactor.Sampling.Selection import OAI.Analysis.FiniteFactor.CrossedProduct.PhaseDecay namespace OAI namespace FiniteFactor open Finset Filter open scoped Topology noncomputable section def samplingQ (m : ℕ) : ℝ := (m : ℝ)^((7/10 : ℝ)*(m : ℝ)) def samplingH (m : ℕ) : ℕ := m^300 def samplingR (m K : ℕ) : ℕ := m*K*m^1000 theorem sampling_integer_candidates (Q : ℝ) (hQ : 4 ≤ Q) : Q/4 ≤ ((Finset.Icc ⌈Q/2⌉ ⌊Q⌋).card : ℝ) := by have hf := Int.sub_one_lt_floor Q have hc := Int.ceil_lt_add_one (Q/2) have horder : ⌈Q/2⌉ ≤ ⌊Q⌋ := by have : (⌈Q/2⌉ : ℝ) < (⌊Q⌋ : ℝ)+1 := by linarith have ht : ⌈Q/2⌉ < ⌊Q⌋+1 := by exact_mod_cast this omega rw [Int.card_Icc] have hcast : ((⌊Q⌋+1-⌈Q/2⌉).toNat : ℝ) = (⌊Q⌋ : ℝ)+1-(⌈Q/2⌉ : ℝ) := by exact_mod_cast Int.toNat_of_nonneg (by omega : 0 ≤ ⌊Q⌋+1-⌈Q/2⌉) rw [hcast] linarith theorem sampling_forbidden_budget (m K : ℕ) (hm : 4 ≤ m) (hK : K ≤ m) : (((2*samplingH m+1)^2*(2*samplingR m K+1) : ℕ) : ℝ) ≤ (m : ℝ)^1605 := by have hm1 : 1 ≤ m := by omega have hh : 1 ≤ samplingH m := one_le_pow₀ hm1 have hr : samplingR m K ≤ m^1002 := by unfold samplingR calc m*K*m^1000 ≤ m*m*m^1000 := by gcongr _ = m^1002 := by ring have hp : 1 ≤ m^1002 := one_le_pow₀ hm1 have hD : (2*samplingH m+1)^2*(2*samplingR m K+1) ≤ 27*m^1602 := by calc _ ≤ (3*samplingH m)^2*(3*m^1002) := by gcongr <;> omega _ = _ := by unfold samplingH; ring have h27 : 27 ≤ m^3 := (by norm_num : 27 ≤ (4 : ℕ)^3).trans (Nat.pow_le_pow_left hm 3) have hhD : (2*samplingH m+1)^2*(2*samplingR m K+1) ≤ m^1605 := by calc _ ≤ 27*m^1602 := hD _ ≤ m^3*m^1602 := Nat.mul_le_mul_right _ h27 _ = _ := by ring exact_mod_cast hhD /-- An explicit sufficiently-large threshold discharges the source's greedy asymptotics, retaining Q, H, R and the exponent 0.69m exactly. -/ theorem exists_source_sampling_powers (m K : ℕ) (hm : 200000 ≤ m) (hK : K ≤ m) : ∃ N : Finset ℤ, (∀ n ∈ N, samplingQ m/2 ≤ (n : ℝ) ∧ (n : ℝ) ≤ samplingQ m ∧ 0 < n) ∧ (m : ℝ)^((69/100 : ℝ)*(m : ℝ)) ≤ (N.card : ℝ) ∧ (N : Set ℤ).Pairwise (fun n n' => ¬SamplingConflict (samplingH m) (samplingR m K) n n') := by have hmR : (200000 : ℝ) ≤ m := by exact_mod_cast hm have hm0 : (0 : ℝ) < m := by linarith have hm1 : (1 : ℝ) ≤ m := by linarith have hQ : (m : ℝ)^1606 ≤ samplingQ m := by unfold samplingQ rw [← Real.rpow_natCast] apply Real.rpow_le_rpow_of_exponent_le hm1 norm_num linarith have hmQ : (m : ℝ) ≤ samplingQ m := by calc _ ≤ (m : ℝ)^1606 := le_self_pow₀ hm1 (by norm_num) _ ≤ _ := hQ have hQ4 : 4 ≤ samplingQ m := by linarith have hR : (samplingR m K : ℝ) < samplingQ m/2 := by have hr : samplingR m K ≤ m^1002 := by unfold samplingR calc m*K*m^1000 ≤ m*m*m^1000 := by gcongr _ = _ := by ring have hsmall : (m : ℝ)^1002 * (m : ℝ) ≤ (m : ℝ)^1606 := by rw [← pow_succ] exact pow_le_pow_right₀ hm1 (by norm_num) have hrR : (samplingR m K : ℝ) ≤ (m : ℝ)^1002 := by exact_mod_cast hr have hpos : 0 < (m : ℝ)^1002 := by positivity nlinarith let S := Finset.Icc ⌈samplingQ m/2⌉ ⌊samplingQ m⌋ have hS (n : ℤ) (hn : n ∈ S) : samplingQ m/2 ≤ (n : ℝ) ∧ (n : ℝ) ≤ samplingQ m := by have hh := mem_Icc.mp hn constructor · exact (Int.le_ceil _).trans (by exact_mod_cast hh.1) · exact (show (n : ℝ) ≤ (⌊samplingQ m⌋ : ℝ) by exact_mod_cast hh.2).trans (Int.floor_le _) obtain ⟨N,hNS,hpair,hcard⟩ := exists_sampling_separated (samplingH m) (samplingR m K) (one_le_pow₀ (by omega)) S (fun n hn => by exact_mod_cast hR.trans_le (hS n hn).1) refine ⟨N, fun n hn => ⟨(hS n (hNS hn)).1, (hS n (hNS hn)).2, ?_⟩, ?_, hpair⟩ · have hh := (hS n (hNS hn)).1 have : (0 : ℝ) < n := by linarith exact_mod_cast this · have hcount : samplingQ m/4 ≤ (((2*samplingH m+1)^2*(2*samplingR m K+1) : ℕ) : ℝ)*(N.card : ℝ) := (sampling_integer_candidates _ hQ4).trans (by exact_mod_cast hcard) have hDb := sampling_forbidden_budget m K (by omega) hK have hcount' : samplingQ m/4 ≤ (m : ℝ)^1605*(N.card : ℝ) := hcount.trans (mul_le_mul_of_nonneg_right hDb (Nat.cast_nonneg _)) have hexp : (m : ℝ)^1605*(m : ℝ)^((69/100 : ℝ)*(m : ℝ))*(m : ℝ) ≤ samplingQ m := by unfold samplingQ calc _ = (m : ℝ)^(1605+(69/100 : ℝ)*(m : ℝ)+1) := by rw [Real.rpow_add hm0, Real.rpow_one, Real.rpow_add hm0] norm_num [Real.rpow_ofNat] _ ≤ _ := by apply Real.rpow_le_rpow_of_exponent_le hm1 norm_num linarith have hprod : 0 < (m : ℝ)^1605 := by positivity have htarget : 0 ≤ (m : ℝ)^((69/100 : ℝ)*(m : ℝ)) := by positivity apply (mul_le_mul_iff_right₀ hprod).mp nlinarith /-- A deterministic finite set fixed from the numerical stages alone. -/ def sourceSamplingPowers (s : ℕ) : Finset ℤ := if h : 200000 ≤ sourceBlockSize s then Classical.choose (exists_source_sampling_powers (sourceBlockSize s) (sourceStageState s).K h (sourceStage s).m_ge_K) else ∅ theorem sourceSamplingPowers_spec (s : ℕ) (hs : 200000 ≤ sourceBlockSize s) : (∀ n ∈ sourceSamplingPowers s, samplingQ (sourceBlockSize s)/2 ≤ (n : ℝ) ∧ (n : ℝ) ≤ samplingQ (sourceBlockSize s) ∧ 0 < n) ∧ (sourceBlockSize s : ℝ)^((69/100 : ℝ)*(sourceBlockSize s : ℝ)) ≤ ((sourceSamplingPowers s).card : ℝ) ∧ ((sourceSamplingPowers s : Finset ℤ) : Set ℤ).Pairwise (fun n n' => ¬SamplingConflict (samplingH (sourceBlockSize s)) (samplingR (sourceBlockSize s) (sourceStageState s).K) n n') := by unfold sourceSamplingPowers rw [dite_eq_left hs] exact Classical.choose_spec (exists_source_sampling_powers _ _ hs (sourceStage s).m_ge_K) theorem sourceSamplingPowers_eventually : ∀ᶠ s in atTop, (∀ n ∈ sourceSamplingPowers s, samplingQ (sourceBlockSize s)/2 ≤ (n : ℝ) ∧ (n : ℝ) ≤ samplingQ (sourceBlockSize s) ∧ 0 < n) ∧ (sourceBlockSize s : ℝ)^((69/100 : ℝ)*(sourceBlockSize s : ℝ)) ≤ ((sourceSamplingPowers s).card : ℝ) ∧ ((sourceSamplingPowers s : Finset ℤ) : Set ℤ).Pairwise (fun n n' => ¬SamplingConflict (samplingH (sourceBlockSize s)) (samplingR (sourceBlockSize s) (sourceStageState s).K) n n') := by filter_upwards [sourceBlockSize_tendsto.eventually (eventually_ge_atTop 200000)] with s hs exact sourceSamplingPowers_spec s hs end end FiniteFactor end OAI