import OAI.Probability.FreeIsing.Trees.RootComponentAttenuation namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped NNReal namespace Problem367.ComponentSignalAttenuation open PlantedSymmetry theorem condExp_attenuation_le_critical_relabel_root_others {d : ℕ} {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (hθ0 : 0 < theta) (hθ1 : theta < 1) (c : Fin d) (hcritical : ((d - 1 : ℕ) : ℝ) * theta ^ 2 = 1) {t : ℝ≥0} (ht : 0 < t) (g : TreeAut d) {B : Type*} [mB : MeasurableSpace B] [StandardBorelSpace B] [Nonempty B] (G : NoisyRootOtherData ℝ c → B) (hG : Measurable G) (shift : B → ℝ) (hs : Measurable shift) : let P := μ.prod (gaussianNoiseLaw (TreeVertex d) t) let X := (G ∘ noisyRootOtherArray c) ∘ Prod.map (relabel g) (relabel g) let Q := selectedPosterior P (fun s z => (t : ℝ) * spinSign s + z) (fun i => g.toEquiv.symm (componentIndexVertex (c := c) i)) (g.toEquiv.symm (RootedBroadcast.branchRoot c)) ∀ᵐ w ∂P, (P[fun v => responseAttenuation theta (shift (X v) + statisticMessage theta (Q v)) ^ 2 | mB.comap X]) w ≤ 1 - lossCoefficient theta * min (Real.sqrt (t : ℝ)) 1 := by let := hμ.isProbabilityMeasure let P := μ.prod (gaussianNoiseLaw (TreeVertex d) t) let T : ((TreeVertex d → IsingSpin) × (TreeVertex d → ℝ)) → ((TreeVertex d → IsingSpin) × (TreeVertex d → ℝ)) := Prod.map (relabel g) (relabel g) let X := G ∘ noisyRootOtherArray (A := ℝ) c let f := fun v => responseAttenuation theta (shift (X v) + statisticMessage theta (posteriorMean μ c t v)) ^ 2 have hX : Measurable X := hG.comp (measurable_noisyRootOtherArray c) have hθsq : theta ^ 2 ≤ 1 := by nlinarith have hfm : Measurable f := ((continuous_responseAttenuation hθsq).measurable.comp ((hs.comp hX).add ((measurable_statisticMessage theta).comp (measurable_posteriorMean μ c t)))).pow_const 2 have hfi : Integrable f P := by apply (integrable_const (1 : ℝ)).mono' hfm.aestronglyMeasurable filter_upwards [] with v rw [Real.norm_eq_abs, abs_of_nonneg (sq_nonneg _)] have hpos := responseAttenuation_pos hθsq (shift (X v) + statisticMessage theta (posteriorMean μ c t v)) have hle := responseAttenuation_le_one hθsq (shift (X v) + statisticMessage theta (posteriorMean μ c t v)) dsimp only [f] nlinarith have hmp : MeasurePreserving T P P := PlantedStationarity.measurePreserving_planted_relabel hμ (gaussianReal 0 t) g have hCE := condExp_comp_measurePreserving P P T hmp (mB.comap X) hX.comap_le hfi have hbase := hmp.quasiMeasurePreserving.ae (condExp_attenuation_le_critical_root_others hμ hθ0 hθ1 c hcritical ht G hG shift hs) have hchannel : Measurable (Function.uncurry (fun s z => (t : ℝ) * spinSign s + z)) := ((PlantedInformation.measurable_spinSign.comp measurable_fst).const_mul (t : ℝ)).add measurable_snd have hpost := selectedPosterior_relabel_ae hμ (gaussianReal 0 t) hchannel (componentIndexVertex (c := c)) (RootedBroadcast.branchRoot c) g have hfc : f ∘ T =ᵐ[P] fun v => responseAttenuation theta (shift ((X ∘ T) v) + statisticMessage theta (selectedPosterior P (fun s z => (t : ℝ) * spinSign s + z) (fun i => g.toEquiv.symm (componentIndexVertex (c := c) i)) (g.toEquiv.symm (RootedBroadcast.branchRoot c)) v)) ^ 2 := by filter_upwards [hpost] with v hv exact congrArg (fun q => responseAttenuation theta (shift ((X ∘ T) v) + statisticMessage theta q) ^ 2) hv have hcongr := condExp_congr_ae (m := mB.comap (X ∘ T)) hfc rw [MeasurableSpace.comap_comp] at hCE filter_upwards [hCE, hcongr, hbase] with w hw hc hb exact hc.symm.trans_le (hw.trans_le hb) end Problem367.ComponentSignalAttenuation end end OAI