Download lean/OAI/Probability/FreeIsing/Conditioning/CutLevelConditionalMean.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 9.1 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Conditioning/CutLevelConditionalMean.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/FreeIsing/Conditioning/CutLevelConditionalMean.lean
-
curl -L -o CutLevelConditionalMean.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Conditioning/CutLevelConditionalMean.lean
9.1 kB
| import OAI.Probability.FreeIsing.Estimates.BalancedLatentMean | |
| import OAI.Probability.FreeIsing.Trees.NoisyCutLevelIndependence | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory | |
| open scoped ENNReal | |
| namespace Problem367.RootedBroadcast | |
| local instance cutLevelConditionalMeanMeasurableSingletonIsingSpin : | |
| MeasurableSingletonClass IsingSpin := ⟨fun _ => trivial⟩ | |
| local instance cutLevelConditionalMeanIsProbabilityLabelMeasure (d : ℕ) : | |
| IsProbabilityMeasure (labelMeasure d) := by | |
| unfold labelMeasure | |
| infer_instance | |
| theorem cutSpins_coordinate_fair {d : ℕ} {theta : ℝ} | |
| (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) (c : TreeShell d n) (a : IsingSpin) : | |
| ((labelMeasure d).map (cutSpins theta n)) {s | s c = a} = (1 / 2 : ℝ≥0∞) := by | |
| rw [Measure.map_apply (measurable_cutSpins d theta n) | |
| (measurableSet_eq_fun (measurable_pi_apply c) measurable_const)] | |
| have h := (freeIsingMeasure_hasFreeIsingLaw d h0 h1).marginal c.1 a | |
| rw [freeIsingMeasure, Measure.map_apply (measurable_factor d theta) | |
| (measurableSet_eq_fun (measurable_pi_apply c.1) measurable_const)] at h | |
| change (labelMeasure d) {U | factor theta U c.1 = a} = _ | |
| change (labelMeasure d) {U | factor theta U c.1 = a} = _ at h | |
| simpa using h | |
| theorem condExp_noisy_factor_cone_le_two_integral {d : ℕ} {theta : ℝ} {A : Type*} | |
| [MeasurableSpace A] [StandardBorelSpace A] | |
| (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) | |
| (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] | |
| (c : TreeShell d n) | |
| (F : (DescendantVertex c.1 → IsingSpin) × (DescendantVertex c.1 → A) → ℝ) | |
| (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : | |
| ∀ᵐ z ∂(labelMeasure d).prod (Measure.infinitePi ν), | |
| (((labelMeasure d).prod (Measure.infinitePi ν))[ | |
| (fun z : (TreeVertex d → ℝ) × (TreeVertex d → A) => | |
| F ((fun v => factor theta z.1 v.1), fun v => z.2 v.1)) | | |
| (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap | |
| (fun z => cutSpins theta n z.1)]) z ≤ | |
| 2 * ∫ w : (TreeVertex d → ℝ) × (TreeVertex d → A), | |
| F ((fun v => factor theta w.1 v.1), fun v => w.2 v.1) | |
| ∂(labelMeasure d).prod (Measure.infinitePi ν) := by | |
| let S := TreeShell d n → IsingSpin | |
| let R := (e : TreeShell d n) → | |
| (StrictDescendantVertex e.1 → ℝ) × (DescendantVertex e.1 → A) | |
| let rho := (labelMeasure d).map (cutSpins theta n) | |
| let muR := Measure.infinitePi (fun e : TreeShell d n => | |
| (Measure.infinitePi (fun _ : StrictDescendantVertex e.1 => uniform01)).prod | |
| (Measure.infinitePi (fun v : DescendantVertex e.1 => ν v.1))) | |
| let e : (TreeVertex d → ℝ) × (TreeVertex d → A) → S × R := | |
| fun z => (cutSpins theta n z.1, | |
| fun c => (cutLabels z.1 c, fun v => z.2 v.1)) | |
| have he : MeasurePreserving e ((labelMeasure d).prod (Measure.infinitePi ν)) | |
| (rho.prod muR) := | |
| ⟨((measurable_cutSpins d theta n).comp measurable_fst).prodMk | |
| (by unfold cutLabels; fun_prop), map_cutSpins_cutLabels_noises theta n ν⟩ | |
| let G : IsingSpin × R → ℝ := fun p => | |
| F (coneFactor theta c.1 (p.1, (p.2 c).1), (p.2 c).2) | |
| have hG : Measurable G := | |
| hF.comp (((measurable_coneFactor theta c.1).comp | |
| (measurable_fst.prodMk | |
| (measurable_fst.comp ((measurable_pi_apply c).comp measurable_snd)))).prodMk | |
| (measurable_snd.comp ((measurable_pi_apply c).comp measurable_snd))) | |
| have h := condExp_binary_channel_comp_le_two_integral | |
| ((labelMeasure d).prod (Measure.infinitePi ν)) rho muR e he | |
| (fun s : S => s c) (measurable_pi_apply c) | |
| (cutSpins_coordinate_fair h0 h1 n c) G hG (fun p => hbound _) | |
| have hfun : (fun z => G ((e z).1 c, (e z).2)) = | |
| (fun z : (TreeVertex d → ℝ) × (TreeVertex d → A) => | |
| F ((fun v => factor theta z.1 v.1), fun v => z.2 v.1)) := by | |
| funext z | |
| apply congrArg F | |
| apply Prod.ext | |
| · exact (factor_cone_representation theta c.1 z.1).symm | |
| · rfl | |
| rw [hfun] at h | |
| exact h | |
| end Problem367.RootedBroadcast | |
| namespace Problem367 | |
| local instance cutLevelConditionalMeanFreeIsingMeasurableSingletonIsingSpin : | |
| MeasurableSingletonClass IsingSpin := ⟨fun _ => trivial⟩ | |
| theorem freeIsingMeasure_condExp_cutLevel_observable_le_two_integral | |
| {d : ℕ} {theta : ℝ} {A : Type*} | |
| [MeasurableSpace A] [StandardBorelSpace A] | |
| (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) | |
| (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] | |
| (c : TreeShell d n) | |
| (F : (RootedBroadcast.DescendantVertex c.1 → IsingSpin) × | |
| (RootedBroadcast.DescendantVertex c.1 → A) → ℝ) | |
| (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : | |
| ∀ᵐ z ∂(freeIsingMeasure d theta).prod (Measure.infinitePi ν), | |
| (((freeIsingMeasure d theta).prod (Measure.infinitePi ν))[ | |
| (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → A) => | |
| F ((fun v => z.1 v.1), fun v => z.2 v.1)) | | |
| (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap | |
| (fun z => fun e : TreeShell d n => z.1 e.1)]) z ≤ | |
| 2 * ∫ w : (TreeVertex d → IsingSpin) × (TreeVertex d → A), | |
| F ((fun v => w.1 v.1), fun v => w.2 v.1) | |
| ∂(freeIsingMeasure d theta).prod (Measure.infinitePi ν) := by | |
| let : IsProbabilityMeasure (labelMeasure d) := by | |
| unfold labelMeasure | |
| infer_instance | |
| let P := (freeIsingMeasure d theta).prod (Measure.infinitePi ν) | |
| let Q := (labelMeasure d).prod (Measure.infinitePi ν) | |
| let e : (TreeVertex d → ℝ) × (TreeVertex d → A) → | |
| (TreeVertex d → IsingSpin) × (TreeVertex d → A) := | |
| Prod.map (RootedBroadcast.factor theta) id | |
| let H : (TreeVertex d → IsingSpin) × (TreeVertex d → A) → ℝ := | |
| fun z => F ((fun v => z.1 v.1), fun v => z.2 v.1) | |
| let S : (TreeVertex d → IsingSpin) × (TreeVertex d → A) → | |
| TreeShell d n → IsingSpin := fun z c => z.1 c.1 | |
| have hS : Measurable S := by fun_prop | |
| have hH : Measurable H := hF.comp (by fun_prop) | |
| have hInt : Integrable H P := by | |
| apply Integrable.of_bound hH.aestronglyMeasurable 1 | |
| exact Filter.Eventually.of_forall (fun z => by | |
| rw [Real.norm_eq_abs, abs_of_nonneg (hbound _).1] | |
| exact (hbound _).2) | |
| have hf : MeasurePreserving (RootedBroadcast.factor theta) | |
| (labelMeasure d) (freeIsingMeasure d theta) := | |
| ⟨RootedBroadcast.measurable_factor d theta, rfl⟩ | |
| have he : MeasurePreserving e Q P := hf.prod (MeasurePreserving.id (Measure.infinitePi ν)) | |
| have hpull := condExp_comp_measurePreserving Q P e he | |
| ((inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap S) | |
| hS.comap_le hInt | |
| have hMean : (∫ x, H (e x) ∂Q) = ∫ z, H z ∂P := by | |
| rw [← he.map_eq] | |
| exact (integral_map he.measurable.aemeasurable hH.aestronglyMeasurable).symm | |
| have hsource := RootedBroadcast.condExp_noisy_factor_cone_le_two_integral | |
| h0 h1 n ν c F hF hbound | |
| change ∀ᵐ z ∂P, (P[H | MeasurableSpace.comap S inferInstance]) z ≤ | |
| 2 * ∫ w, H w ∂P | |
| have hgoal : ∀ᵐ z ∂Q.map e, | |
| (P[H | MeasurableSpace.comap S inferInstance]) z ≤ 2 * ∫ w, H w ∂P := by | |
| apply (ae_map_iff he.measurable.aemeasurable | |
| (measurableSet_le (stronglyMeasurable_condExp.mono hS.comap_le).measurable | |
| measurable_const)).mpr | |
| filter_upwards [hpull, hsource] with z hz hzbound | |
| have hmeanbound : (Q[H ∘ e | (MeasurableSpace.comap S inferInstance).comap e]) z ≤ | |
| 2 * ∫ x, H (e x) ∂Q := by | |
| simp only [MeasurableSpace.comap_comp, Function.comp_def, S, H, e, | |
| Prod.map_fst, Prod.map_snd, id_eq] | |
| exact hzbound | |
| rw [hz, hMean] at hmeanbound | |
| exact hmeanbound | |
| simpa only [he.map_eq] using hgoal | |
| theorem HasFreeIsingLaw.condExp_cutLevel_observable_le_two_integral | |
| {d : ℕ} {theta : ℝ} {A : Type*} | |
| [MeasurableSpace A] [StandardBorelSpace A] | |
| {μ : Measure (TreeVertex d → IsingSpin)} [IsFiniteMeasure μ] | |
| (hμ : HasFreeIsingLaw theta μ) (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) | |
| (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] | |
| (c : TreeShell d n) | |
| (F : (RootedBroadcast.DescendantVertex c.1 → IsingSpin) × | |
| (RootedBroadcast.DescendantVertex c.1 → A) → ℝ) | |
| (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : | |
| ∀ᵐ z ∂μ.prod (Measure.infinitePi ν), | |
| ((μ.prod (Measure.infinitePi ν))[ | |
| (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → A) => | |
| F ((fun v => z.1 v.1), fun v => z.2 v.1)) | | |
| (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap | |
| (fun z => fun e : TreeShell d n => z.1 e.1)]) z ≤ | |
| 2 * ∫ w : (TreeVertex d → IsingSpin) × (TreeVertex d → A), | |
| F ((fun v => w.1 v.1), fun v => w.2 v.1) ∂μ.prod (Measure.infinitePi ν) := by | |
| have heq := hμ.eq_freeIsingMeasure h0 h1 | |
| subst μ | |
| exact freeIsingMeasure_condExp_cutLevel_observable_le_two_integral h0 h1 n ν c F hF hbound | |
| end Problem367 | |
| end | |
| end OAI | |