Download lean/OAI/Probability/FreeIsing/Factors/InnovationFactorRecovery.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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7.23 kB
| import OAI.Probability.FreeIsing.Conditioning.ObservationCopyStationarity | |
| import OAI.Probability.FreeIsing.Martingales.InnovationMartingale | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory | |
| open scoped NNReal | |
| namespace Problem367 | |
| theorem observations_ae_eq_of_common_innovation_and_field_zero | |
| {O : Type*} [MeasurableSpace O] {mu : Measure O} | |
| {h h' : ℝ≥0 → O → ℝ} {X Y W : ℕ → O → ℝ} | |
| (hc : ∀ᵐ p ∂mu, Continuous (fun t => h t p)) | |
| (hc' : ∀ᵐ p ∂mu, Continuous (fun t => h' t p)) | |
| (hInt : ∀ t, Integrable (fun p => (h t p - h' t p) ^ 2) mu) | |
| (hzero : ∀ t, (∫ p, (h t p - h' t p) ^ 2 ∂mu) = 0) | |
| (hX : ∀ n, ∀ᵐ p ∂mu, | |
| X n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h t p)) n p) | |
| (hY : ∀ n, ∀ᵐ p ∂mu, | |
| Y n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h' t p)) n p) : | |
| ∀ n, X n =ᵐ[mu] Y n := by | |
| have hfield : (fun p t => h t p) =ᵐ[mu] (fun p t => h' t p) := | |
| ae_eq_of_continuous_of_integral_sq_sub_eq_zero hc hc' hInt hzero | |
| intro n | |
| filter_upwards [hfield, hX n, hY n] with p hp hx hy | |
| rw [hx, hy] | |
| congr 1 | |
| unfold nnrealTimePrimitive | |
| apply intervalIntegral.integral_congr | |
| intro t _ | |
| exact congrArg Real.tanh (congrFun hp t.toNNReal) | |
| theorem observations_ae_eq_of_common_innovation_and_measurable_fields | |
| {O : Type*} [MeasurableSpace O] {mu : Measure O} [SFinite mu] | |
| {h h' : ℝ≥0 → O → ℝ} {X Y W : ℕ → O → ℝ} | |
| (hm : Measurable (fun q : ℝ × O => Real.tanh (h q.1.toNNReal q.2))) | |
| (hm' : Measurable (fun q : ℝ × O => Real.tanh (h' q.1.toNNReal q.2))) | |
| (heq : ∀ t, h t =ᵐ[mu] h' t) | |
| (hX : ∀ n, ∀ᵐ p ∂mu, | |
| X n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h t p)) n p) | |
| (hY : ∀ n, ∀ᵐ p ∂mu, | |
| Y n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h' t p)) n p) : | |
| ∀ n, X n =ᵐ[mu] Y n := by | |
| have htime : ∀ᵐ t ∂(volume : Measure ℝ), ∀ᵐ p ∂mu, | |
| Real.tanh (h t.toNNReal p) = Real.tanh (h' t.toNNReal p) := by | |
| apply Filter.Eventually.of_forall | |
| intro t | |
| filter_upwards [heq t.toNNReal] with p hp | |
| rw [hp] | |
| have hsample : ∀ᵐ p ∂mu, ∀ᵐ t ∂(volume : Measure ℝ), | |
| Real.tanh (h t.toNNReal p) = Real.tanh (h' t.toNNReal p) := | |
| (Measure.ae_ae_comm (μ := (volume : Measure ℝ)) (ν := mu) | |
| (p := fun t p => Real.tanh (h t.toNNReal p) = Real.tanh (h' t.toNNReal p)) | |
| (measurableSet_eq_fun hm hm')).1 htime | |
| intro n | |
| filter_upwards [hsample, hX n, hY n] with p hp hx hy | |
| rw [hx, hy] | |
| congr 1 | |
| unfold nnrealTimePrimitive | |
| apply intervalIntegral.integral_congr_ae | |
| exact hp.mono (fun _ ht _ => ht) | |
| theorem observations_ae_eq_of_common_innovation_and_measurable_field_zero | |
| {O : Type*} [MeasurableSpace O] {mu : Measure O} [SFinite mu] | |
| {h h' : ℝ≥0 → O → ℝ} {X Y W : ℕ → O → ℝ} | |
| (hm : Measurable (fun q : ℝ × O => Real.tanh (h q.1.toNNReal q.2))) | |
| (hm' : Measurable (fun q : ℝ × O => Real.tanh (h' q.1.toNNReal q.2))) | |
| (hInt : ∀ t, Integrable (fun p => (h t p - h' t p) ^ 2) mu) | |
| (hzero : ∀ t, (∫ p, (h t p - h' t p) ^ 2 ∂mu) = 0) | |
| (hX : ∀ n, ∀ᵐ p ∂mu, | |
| X n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h t p)) n p) | |
| (hY : ∀ n, ∀ᵐ p ∂mu, | |
| Y n p = W n p + nnrealTimePrimitive (fun t p => Real.tanh (h' t p)) n p) : | |
| ∀ n, X n =ᵐ[mu] Y n := by | |
| apply observations_ae_eq_of_common_innovation_and_measurable_fields hm hm' _ hX hY | |
| exact fun t => ae_eq_of_integral_sq_sub_eq_zero (hInt t) (hzero t) | |
| theorem isFactorOfIID_of_joint_innovation_field_zero | |
| {d : ℕ} {theta : ℝ} {A : Type*} [MeasurableSpace A] | |
| [StandardBorelSpace A] [Nonempty A] | |
| (nu : Measure A) [IsProbabilityMeasure nu] | |
| (rho : Measure ((TreeVertex d → A) × (TreeVertex d → ℕ → ℝ))) | |
| [IsProbabilityMeasure rho] (o : TreeVertex d) | |
| (hfirst : rho.fst = Measure.infinitePi (fun _ : TreeVertex d => nu)) | |
| (hLaw : HasFreeIsingLaw theta | |
| (Measure.map (fun p => SpinRecovery.decodeArray p.2) rho)) | |
| (hjoint : ∀ g : TreeAut d, rho.map (Prod.map (relabel g) (relabel g)) = rho) | |
| (h h' : ℝ≥0 → | |
| ((TreeVertex d → A) × ((TreeVertex d → ℕ → ℝ) × (TreeVertex d → ℕ → ℝ))) → ℝ) | |
| (W : ℕ → (TreeVertex d → A) → ℝ) | |
| (hc : ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| Continuous (fun t => h t p)) | |
| (hc' : ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| Continuous (fun t => h' t p)) | |
| (hInt : ∀ t, Integrable (fun p => (h t p - h' t p) ^ 2) | |
| (rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel))) | |
| (hzero : ∀ t, (∫ p, (h t p - h' t p) ^ 2 | |
| ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel)) = 0) | |
| (hX : ∀ n, ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| p.2.1 o n = W n p.1 + nnrealTimePrimitive (fun t p => Real.tanh (h t p)) n p) | |
| (hY : ∀ n, ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| p.2.2 o n = W n p.1 + nnrealTimePrimitive (fun t p => Real.tanh (h' t p)) n p) : | |
| IsFactorOfIID d theta := by | |
| apply ObservationCopyStationarity.isFactorOfIID_of_joint_observation_reference_collapse | |
| nu rho o hfirst hLaw hjoint | |
| exact observations_ae_eq_of_common_innovation_and_field_zero hc hc' hInt hzero hX hY | |
| theorem isFactorOfIID_of_joint_innovation_measurable_field_zero | |
| {d : ℕ} {theta : ℝ} {A : Type*} [MeasurableSpace A] | |
| [StandardBorelSpace A] [Nonempty A] | |
| (nu : Measure A) [IsProbabilityMeasure nu] | |
| (rho : Measure ((TreeVertex d → A) × (TreeVertex d → ℕ → ℝ))) | |
| [IsProbabilityMeasure rho] (o : TreeVertex d) | |
| (hfirst : rho.fst = Measure.infinitePi (fun _ : TreeVertex d => nu)) | |
| (hLaw : HasFreeIsingLaw theta | |
| (Measure.map (fun p => SpinRecovery.decodeArray p.2) rho)) | |
| (hjoint : ∀ g : TreeAut d, rho.map (Prod.map (relabel g) (relabel g)) = rho) | |
| (h h' : ℝ≥0 → | |
| ((TreeVertex d → A) × ((TreeVertex d → ℕ → ℝ) × (TreeVertex d → ℕ → ℝ))) → ℝ) | |
| (W : ℕ → (TreeVertex d → A) → ℝ) | |
| (hm : Measurable (Function.uncurry (fun (t : ℝ) p => Real.tanh (h t.toNNReal p)))) | |
| (hm' : Measurable (Function.uncurry (fun (t : ℝ) p => Real.tanh (h' t.toNNReal p)))) | |
| (hInt : ∀ t, Integrable (fun p => (h t p - h' t p) ^ 2) | |
| (rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel))) | |
| (hzero : ∀ t, (∫ p, (h t p - h' t p) ^ 2 | |
| ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel)) = 0) | |
| (hX : ∀ n, ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| p.2.1 o n = W n p.1 + nnrealTimePrimitive (fun t p => Real.tanh (h t p)) n p) | |
| (hY : ∀ n, ∀ᵐ p ∂rho.fst ⊗ₘ (rho.condKernel ×ₖ rho.condKernel), | |
| p.2.2 o n = W n p.1 + nnrealTimePrimitive (fun t p => Real.tanh (h' t p)) n p) : | |
| IsFactorOfIID d theta := by | |
| apply ObservationCopyStationarity.isFactorOfIID_of_joint_observation_reference_collapse | |
| nu rho o hfirst hLaw hjoint | |
| exact observations_ae_eq_of_common_innovation_and_measurable_field_zero | |
| hm hm' hInt hzero hX hY | |
| end Problem367 | |
| end | |
| end OAI | |