import OAI.Analysis.FiniteFactor.OrbitSampling.Error namespace OAI namespace FiniteFactor open MeasureTheory Filter open scoped Classical Topology noncomputable section /-- The distinct and mixed error budget is summable along the actual stages. -/ theorem sourceSamplingCorrelationBudget_summable : Summable sourceSamplingCorrelationBudget := by apply (sourceSampling_inverse_square_summable.mul_left (208*Real.exp 135)).of_nonneg_of_le · intro stage; unfold sourceSamplingCorrelationBudget; positivity intro stage let m : ℝ := sourceBlockSize stage have hm : 0 < m := sourceBlockSize_pos stage have hm1 : 1 ≤ m := by have hh : 100 ≤ sourceBlockSize stage := (sourceStage stage).m_ge_100 dsimp [m] exact_mod_cast (show 1 ≤ sourceBlockSize stage by omega) have hd : ((sourceSamplingPrefix stage).card : ℝ) ≤ 2*m := (sourceSamplingPrefix_card_bound stage).trans (by dsimp [m]; nlinarith) have he : m*m^(-74 : ℝ) = m^(-73 : ℝ) := by conv_lhs => lhs; rw [← Real.rpow_one m] rw [← Real.rpow_add hm]; norm_num calc sourceSamplingCorrelationBudget stage ≤ (2*m)*(104*m^(-74 : ℝ))*Real.exp 135 := by unfold sourceSamplingCorrelationBudget exact mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_right hd (by positivity)) (by positivity) _ = (208*Real.exp 135)*m^(-73 : ℝ) := by rw [← he]; ring _ ≤ (208*Real.exp 135)*m^(-2 : ℝ) := mul_le_mul_of_nonneg_left (Real.rpow_le_rpow_of_exponent_le hm1 (by norm_num)) (by positivity) /-- Summable expectations for the full empirical sampling error. -/ theorem sourceSamplingSquaredError_summable_integral (r : Bool) (b : SourceCoordinate → Bool) (a c a' c' : SourceCoordinate → ℝ) : Summable (fun stage => ∫ θ, sourceSamplingSquaredError stage r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ ∂sourceAngleLaw) := by have hd := sourceSamplingDiagonalContribution_summable_integral r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) (fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc) have hb := hd.add (sourceSamplingCorrelationBudget_summable.mul_left 3) apply hb.of_norm_bounded_eventually_nat filter_upwards [sourceBlockSize_tendsto.eventually (eventually_ge_atTop 200000)] with stage hs rw [Real.norm_eq_abs,abs_of_nonneg (integral_nonneg (sourceSamplingSquaredError_nonneg stage r b _ _))] exact sourceSamplingSquaredError_expectation stage hs r b a c a' c' /-- The full squared sampling error is summable and converges to zero on a conull set of actual source angles. This is not just the self-pair event. -/ theorem sourceSamplingSquaredError_ae (r : Bool) (b : SourceCoordinate → Bool) (a c a' c' : SourceCoordinate → ℝ) : ∀ᵐ θ ∂sourceAngleLaw, Summable (fun stage => sourceSamplingSquaredError stage r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ) ∧ Tendsto (fun stage => sourceSamplingSquaredError stage r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ) atTop (𝓝 0) := by have he := sampling_ae_summable_of_integrals sourceAngleLaw (fun stage θ => sourceSamplingSquaredError stage r b (fun i => Set.Icc (a i) (c i)) (fun i => Set.Icc (a' i) (c' i)) θ) (fun stage => sourceSamplingSquaredError_measurable stage r b _ _ (fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc)) (fun stage => sourceSamplingSquaredError_integrable stage r b _ _ (fun _ => measurableSet_Icc) (fun _ => measurableSet_Icc)) (fun stage θ => sourceSamplingSquaredError_nonneg stage r b _ _ θ) (sourceSamplingSquaredError_summable_integral r b a c a' c') exact he.mono (fun θ hθ => ⟨hθ,hθ.tendsto_atTop_zero⟩) /-- One source-angle event handles any countable family of interval tests, orientations and triangular-coordinate choices for the full error. -/ theorem sourceSamplingSquaredError_countable_event {ι : Type*} [Countable ι] (r : ι → Bool) (b : ι → SourceCoordinate → Bool) (a c a' c' : ι → SourceCoordinate → ℝ) : ∀ᵐ θ ∂sourceAngleLaw, ∀ j, Summable (fun stage => sourceSamplingSquaredError stage (r j) (b j) (fun i => Set.Icc (a j i) (c j i)) (fun i => Set.Icc (a' j i) (c' j i)) θ) ∧ Tendsto (fun stage => sourceSamplingSquaredError stage (r j) (b j) (fun i => Set.Icc (a j i) (c j i)) (fun i => Set.Icc (a' j i) (c' j i)) θ) atTop (𝓝 0) := ae_all_iff.mpr (fun j => sourceSamplingSquaredError_ae (r j) (b j) (a j) (c j) (a' j) (c' j)) end end FiniteFactor end OAI