Download lean/OAI/Analysis/FiniteFactor/OrbitSampling/DiagonalEvent.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.73 kB
| import OAI.Analysis.FiniteFactor.OrbitSampling.DiagonalContribution | |
| import Mathlib.MeasureTheory.Integral.Lebesgue.Markov | |
| namespace OAI | |
| namespace FiniteFactor | |
| open MeasureTheory Filter | |
| open scoped ENNReal Topology | |
| noncomputable section | |
| /-- Tonelli converts summable expectations of nonnegative functions into | |
| pointwise summability on a conull event. -/ | |
| theorem sampling_ae_summable_of_integrals {Ω : Type*} [MeasurableSpace Ω] | |
| (μ : Measure Ω) (f : ℕ → Ω → ℝ) (hm : ∀ n, Measurable (f n)) | |
| (hi : ∀ n, Integrable (f n) μ) (hn : ∀ n x, 0 ≤ f n x) | |
| (hs : Summable (fun n => ∫ x, f n x ∂μ)) : | |
| ∀ᵐ x ∂μ, Summable (fun n => f n x) := by | |
| have he (n : ℕ) : (∫⁻ x, ENNReal.ofReal (f n x) ∂μ) = ENNReal.ofReal (∫ x, f n x ∂μ) := | |
| (ofReal_integral_eq_lintegral_ofReal (hi n) (Eventually.of_forall (hn n))).symm | |
| have hfin : (∫⁻ x, ∑' n, ENNReal.ofReal (f n x) ∂μ) ≠ ∞ := by | |
| rw [lintegral_tsum (fun n => (hm n).ennreal_ofReal.aemeasurable)] | |
| simp_rw [he] | |
| exact hs.tsum_ofReal_ne_top | |
| have hm' : Measurable (fun x => ∑' n, ENNReal.ofReal (f n x)) := | |
| Measurable.tsum (fun n => (hm n).ennreal_ofReal) | |
| filter_upwards [ae_lt_top hm' hfin] with x hx | |
| exact (ENNReal.summable_toReal hx.ne).congr (fun n => ENNReal.toReal_ofReal (hn n x)) | |
| theorem sourceSamplingDiagonalContribution_measurable (stage : ℕ) (r : Bool) (b : SourceCoordinate → Bool) | |
| (E G : SourceCoordinate → Set ℝ) (hE : ∀ i, MeasurableSet (E i)) (hG : ∀ i, MeasurableSet (G i)) : | |
| Measurable (sourceSamplingDiagonalContribution stage r b E G) := by | |
| apply Measurable.div_const | |
| apply Finset.measurable_sum | |
| intro n _ | |
| exact ((sourceSamplingProduct_measurable stage r b E G hE hG n).pow_const 2).stronglyMeasurable.integral_prod_right.measurable | |
| /-- A genuine conull conclusion for the actual diagonal contribution. | |
| This does not assert convergence of the full empirical sampling error. -/ | |
| theorem sourceSamplingDiagonalContribution_ae (r : Bool) (b : SourceCoordinate → Bool) | |
| (E G : SourceCoordinate → Set ℝ) (hE : ∀ i, MeasurableSet (E i)) (hG : ∀ i, MeasurableSet (G i)) : | |
| ∀ᵐ θ ∂sourceAngleLaw, | |
| Summable (fun stage => sourceSamplingDiagonalContribution stage r b E G θ) ∧ | |
| Tendsto (fun stage => sourceSamplingDiagonalContribution stage r b E G θ) atTop (𝓝 0) := by | |
| have ha := sampling_ae_summable_of_integrals sourceAngleLaw | |
| (fun stage θ => sourceSamplingDiagonalContribution stage r b E G θ) | |
| (fun stage => sourceSamplingDiagonalContribution_measurable stage r b E G hE hG) | |
| (fun stage => sourceSamplingDiagonalContribution_integrable stage r b E G hE hG) | |
| (fun stage θ => sourceSamplingDiagonalContribution_nonneg stage r b E G θ) | |
| (sourceSamplingDiagonalContribution_summable_integral r b E G hE hG) | |
| exact ha.mono (fun θ hθ => ⟨hθ,hθ.tendsto_atTop_zero⟩) | |
| /-- One conull event handles every member of any countable family of source | |
| tests, orientations and triangular-coordinate choices for the diagonal term. -/ | |
| theorem sourceSamplingDiagonalContribution_countable_event {ι : Type*} [Countable ι] | |
| (r : ι → Bool) (b : ι → SourceCoordinate → Bool) (E G : ι → SourceCoordinate → Set ℝ) | |
| (hE : ∀ j i, MeasurableSet (E j i)) (hG : ∀ j i, MeasurableSet (G j i)) : | |
| ∀ᵐ θ ∂sourceAngleLaw, ∀ j, | |
| Summable (fun stage => sourceSamplingDiagonalContribution stage (r j) (b j) (E j) (G j) θ) ∧ | |
| Tendsto (fun stage => sourceSamplingDiagonalContribution stage (r j) (b j) (E j) (G j) θ) atTop (𝓝 0) := | |
| (ae_all_iff).mpr (fun j => sourceSamplingDiagonalContribution_ae (r j) (b j) (E j) (G j) (hE j) (hG j)) | |
| end | |
| end FiniteFactor | |
| end OAI | |