import OAI.Analysis.FiniteFactor.Sampling.Rectangle import OAI.Analysis.FiniteFactor.OrbitSampling.Fourier import OAI.Analysis.FiniteFactor.Sampling.Periodization namespace OAI namespace FiniteFactor open MeasureTheory Finset Filter open scoped ENNReal Topology noncomputable section /-- Every constructed power is long enough for density at most two on every coordinate in the sampling prefix. -/ theorem sourceSampling_phase_length (s : ℕ) (hs : 200000 ≤ sourceBlockSize s) (i : SourceCoordinate) (hi : i.1 ≤ s) (n : ℤ) (hn : n ∈ sourceSamplingPowers s) : 1 ≤ (n : ℝ)*sourceAngleUnit i := by have hm : (200000 : ℝ) ≤ sourceBlockSize s := by exact_mod_cast hs have hm0 := sourceBlockSize_pos s have hspec := (sourceSamplingPowers_spec s hs).1 n hn have hQ : (sourceBlockSize s : ℝ)^3 ≤ samplingQ (sourceBlockSize s) := by unfold samplingQ rw [← Real.rpow_natCast] exact Real.rpow_le_rpow_of_exponent_le (by linarith) (by norm_num; linarith) have hN : (sourceBlockSize i.1 : ℝ)*(sourceStageState i.1).K ≤ (sourceBlockSize s : ℝ)^2 := by have hh : (sourceBlockSize i.1 : ℝ)*(sourceStageState i.1).K ≤ (sourceBlockSize s : ℝ)*(sourceStageState s).K := by exact_mod_cast sourceFrequencyScale_monotone hi have hK : ((sourceStageState s).K : ℝ) ≤ sourceBlockSize s := by exact_mod_cast (sourceStage s).m_ge_K nlinarith have hnp : (sourceBlockSize i.1 : ℝ)*(sourceStageState i.1).K ≤ (n : ℝ) := by nlinarith [hspec.1,sq_nonneg (sourceBlockSize s : ℝ)] unfold sourceAngleUnit rw [mul_one_div,le_div_iff₀ (mul_pos (sourceBlockSize_pos i.1) (sourceCutoff_pos i.1)),one_mul] exact hnp theorem sourceSampling_phase_domination (s : ℕ) (hs : 200000 ≤ sourceBlockSize s) (i : SourceCoordinate) (hi : i.1 ≤ s) (n : ℤ) (hn : n ∈ sourceSamplingPowers s) : sourceAngleLaw.map (fun θ => Int.fract ((n : ℝ)*θ i)) ≤ (2 : ℝ≥0∞) • unitIntervalMeasure := by have hp : Measurable (fun t : ℝ => Int.fract ((n : ℝ)*t)) := sourceFract_measurable.comp (measurable_const.mul measurable_id) have he : sourceAngleLaw.map (fun θ => Int.fract ((n : ℝ)*θ i)) = (sourceAngleMarginal i).map (fun t => Int.fract ((n : ℝ)*t)) := by rw [← sourceAngleLaw_coordinate i,Measure.map_map hp (measurable_pi_apply i)] rfl rw [he] have hnp : (0 : ℝ) < n := by exact_mod_cast ((sourceSamplingPowers_spec s hs).1 n hn).2.2 have hh := (sourceAngle_phase_sandwich i (n : ℝ) hnp).2 apply hh.trans have hlen := sourceSampling_phase_length s hs i hi n hn have hiR : 1/(n*sourceAngleUnit i) ≤ (1 : ℝ) := by simpa using one_div_le_one_div_of_le (by norm_num : (0 : ℝ) < 1) hlen have heps : ENNReal.ofReal (1+1/(n*sourceAngleUnit i)) ≤ (2 : ℝ≥0∞) := by exact_mod_cast ENNReal.ofReal_le_ofReal (show 1+1/(n*sourceAngleUnit i) ≤ (2 : ℝ) by linarith) gcongr theorem samplingCharacter_pair_expression (v w : ℤ) (a b : ℝ) : samplingCharacter v a*samplingCharacter w b = Complex.exp (2*Real.pi*Complex.I*((v : ℂ)*(a : ℂ)+(w : ℂ)*(b : ℂ))) := by unfold samplingCharacter rw [← Complex.exp_add] congr 1 ring /-- Rectangle discrepancy for the actual pair law of the deterministic selected powers, with every probabilistic hypothesis discharged. -/ theorem sourceSampling_rectangle_bound (s : ℕ) (hs : 200000 ≤ sourceBlockSize s) (i : SourceCoordinate) (hi : i.1 ≤ s) (n n' : ℤ) (hn : n ∈ sourceSamplingPowers s) (hn' : n' ∈ sourceSamplingPowers s) (hne : n ≠ n') (a b a' b' : ℝ) : |(sourceAngleLaw {θ | Int.fract ((n : ℝ)*θ i) ∈ Set.Icc a b ∧ Int.fract ((n' : ℝ)*θ i) ∈ Set.Icc a' b'}).toReal - (unitIntervalMeasure (Set.Icc a b)).toReal*(unitIntervalMeasure (Set.Icc a' b')).toReal| ≤ 26*(sourceBlockSize s : ℝ)^(-80 : ℝ) := by let m := sourceBlockSize s have hm0 : (0 : ℝ) < m := sourceBlockSize_pos s have hm1 : (1 : ℝ) ≤ m := by have hm : (200000 : ℝ) ≤ m := by exact_mod_cast hs linarith let δ : ℝ := (m : ℝ)^(-80 : ℝ) let ε : ℝ := Real.pi⁻¹*(m : ℝ)^(-1000 : ℝ) have hH : 0 < samplingH m := pow_pos (by exact_mod_cast hm0) 300 have hphase (n : ℤ) : Measurable (fun θ : SourceCoordinate → ℝ => Int.fract ((n : ℝ)*θ i)) := sourceFract_measurable.comp (measurable_const.mul (measurable_pi_apply i)) have hh := sampling_rectangle_discrepancy sourceAngleLaw _ _ (hphase n) (hphase n') (sourceSampling_phase_domination s hs i hi n hn) (sourceSampling_phase_domination s hs i hi n' hn') (samplingH m) hH a b a' b' δ ε (by dsimp [δ]; positivity) (by dsimp [ε]; positivity) (fun v w hv hw hne' => by simp_rw [samplingCharacter_pair_expression] exact sourceSampling_pair_fourier_bound s hs i hi n n' hn hn' hne v w hv.le hw.le hne') apply hh.trans have htail : 1/(2*(samplingH m : ℝ)*δ^2) = (1/2 : ℝ)*(m : ℝ)^(-140 : ℝ) := by dsimp [samplingH,δ] norm_num [Real.rpow_neg,Real.rpow_ofNat,hm0.le] field_simp have hfour : (samplingH m : ℝ)^2*ε = Real.pi⁻¹*(m : ℝ)^(-400 : ℝ) := by dsimp [samplingH,ε] norm_num [Real.rpow_neg,Real.rpow_ofNat,hm0.le] field_simp rw [htail,hfour] have h140 : (m : ℝ)^(-140 : ℝ) ≤ δ := Real.rpow_le_rpow_of_exponent_le hm1 (by norm_num) have h400 : (m : ℝ)^(-400 : ℝ) ≤ δ := Real.rpow_le_rpow_of_exponent_le hm1 (by norm_num) have hpi : Real.pi⁻¹ ≤ 1 := by simpa using one_div_le_one_div_of_le (by norm_num : (0 : ℝ) < 1) (show 1 ≤ Real.pi by linarith [Real.two_le_pi]) have hδ : 0 ≤ δ := by dsimp [δ]; positivity have hp0 : 0 ≤ (m : ℝ)^(-400 : ℝ) := by positivity change 24*δ+1/2*(m : ℝ)^(-140 : ℝ)+Real.pi⁻¹*(m : ℝ)^(-400 : ℝ) ≤ 26*δ nlinarith end end FiniteFactor end OAI