import OAI.Probability.InvariantIsing.Arrays.NSpinTensorLabeled import OAI.Probability.InvariantIsing.Arrays.TensorLeafCoefficients namespace OAI /-! The flat countable Gaussian field has the actual root/forest mark law. -/ noncomputable section open MeasureTheory ProbabilityTheory IsingPerceptron open scoped BigOperators NNReal namespace InvariantIsing def tensorNodeTag {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (w : Option (ForestVertex n)) (i : SpinTensorIndex I degree) : ℕ := Encodable.encode ((nodeAddress n w).length, nodeAddress n w, i) lemma tensorNodeTag_injective {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) : Function.Injective (fun p : Option (ForestVertex n) × SpinTensorIndex I degree => tensorNodeTag I degree n p.1 p.2) := by rintro ⟨v, i⟩ ⟨w, j⟩ h have he := Encodable.encode_inj.mp h exact Prod.ext (nodeAddress_injective n (congrArg (fun p => p.2.1) he)) (congrArg (fun p => p.2.2) he) lemma tensorNodeTag_nodeAt {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (leaf : LabeledLeaf n) (level : Fin (n + 1)) (i : SpinTensorIndex I degree) : tensorNodeTag I degree n (nodeAt n leaf level) i = treeFeatureTag n leaf (level, i) := by unfold tensorNodeTag treeFeatureTag rw [nodeAddress_nodeAt_length, nodeAddress_nodeAt] def tensorStandardGaussianNodes {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (g : ℕ → ℝ) (w : Option (ForestVertex n)) (i : SpinTensorIndex I degree) : ℝ := g (tensorNodeTag I degree n w i) lemma measurable_tensorStandardGaussianNodes {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) : Measurable (tensorStandardGaussianNodes I degree n) := by unfold tensorStandardGaussianNodes fun_prop theorem tensorStandardGaussianNodes_law {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) : gaussianCoordinates.map (tensorStandardGaussianNodes I degree n) = Measure.infinitePi (fun _ : Option (ForestVertex n) => Measure.pi (fun _ : SpinTensorIndex I degree => gaussianReal 0 1)) := by let t := fun p : Option (ForestVertex n) × SpinTensorIndex I degree => tensorNodeTag I degree n p.1 p.2 have hp := gaussian_pullback_measurePreserving t (tensorNodeTag_injective I degree n) change gaussianCoordinates.map ((MeasurableEquiv.curry (Option (ForestVertex n)) (SpinTensorIndex I degree) ℝ) ∘ (fun g => fun p => g (t p))) = _ rw [← Measure.map_map (MeasurableEquiv.curry _ _ _).measurable hp.measurable, hp.map_eq, Measure.infinitePi_map_curry (fun (_ : Option (ForestVertex n)) (_ : SpinTensorIndex I degree) => gaussianReal 0 1)] simp only [Measure.infinitePi_eq_pi] private theorem tensorMarkScale_measurePreserving {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (v : SpinTensorIndex I degree → ℝ≥0) : MeasurePreserving (fun z : SpinTensorIndex I degree → ℝ => fun i => (NNReal.sqrt (v i) : ℝ) * z i) (Measure.pi (fun _ : SpinTensorIndex I degree => gaussianReal 0 1)) (tensorGaussianLaw I degree v : Measure (SpinTensorIndex I degree → ℝ)) := by change MeasurePreserving _ _ (Measure.pi (fun i : SpinTensorIndex I degree => gaussianReal 0 (v i))) apply measurePreserving_pi intro i refine ⟨by fun_prop, ?_⟩ have hs : NNReal.mk ((NNReal.sqrt (v i) : ℝ) ^ 2) (sq_nonneg _) = v i := by apply Subtype.ext change (NNReal.sqrt (v i) : ℝ) ^ 2 = (v i : ℝ) exact_mod_cast NNReal.sq_sqrt (v i) simpa only [hs, mul_zero, mul_one] using gaussianReal_map_const_mul (μ := 0) (v := 1) (NNReal.sqrt (v i) : ℝ) def tensorGaussianNodes {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (g : ℕ → ℝ) (w : Option (ForestVertex n)) (i : SpinTensorIndex I degree) : ℝ := (NNReal.sqrt (v (nodeAddress n w).length i) : ℝ) * tensorStandardGaussianNodes I degree n g w i lemma measurable_tensorGaussianNodes {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) : Measurable (tensorGaussianNodes I degree n v) := by unfold tensorGaussianNodes tensorStandardGaussianNodes fun_prop theorem tensorGaussianNodes_measurePreserving {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) : MeasurePreserving (tensorGaussianNodes I degree n v) gaussianCoordinates (Measure.infinitePi (fun w : Option (ForestVertex n) => (tensorGaussianLaw I degree (v (nodeAddress n w).length) : Measure (SpinTensorIndex I degree → ℝ)))) := by have hstd : MeasurePreserving (tensorStandardGaussianNodes I degree n) gaussianCoordinates (Measure.infinitePi (fun _ : Option (ForestVertex n) => Measure.pi (fun _ : SpinTensorIndex I degree => gaussianReal 0 1))) := ⟨measurable_tensorStandardGaussianNodes I degree n, tensorStandardGaussianNodes_law I degree n⟩ have hscale : MeasurePreserving (fun q : Option (ForestVertex n) → SpinTensorIndex I degree → ℝ => fun w i => (NNReal.sqrt (v (nodeAddress n w).length i) : ℝ) * q w i) (Measure.infinitePi (fun _ : Option (ForestVertex n) => Measure.pi (fun _ : SpinTensorIndex I degree => gaussianReal 0 1))) (Measure.infinitePi (fun w : Option (ForestVertex n) => (tensorGaussianLaw I degree (v (nodeAddress n w).length) : Measure (SpinTensorIndex I degree → ℝ)))) := by refine ⟨by fun_prop, ?_⟩ rw [Measure.infinitePi_map_pi (f := fun w (z : SpinTensorIndex I degree → ℝ) => fun i => (NNReal.sqrt (v (nodeAddress n w).length i) : ℝ) * z i) _ (fun _ => by fun_prop)] apply congrArg Measure.infinitePi funext w exact (tensorMarkScale_measurePreserving I degree (v (nodeAddress n w).length)).map_eq exact hscale.comp hstd /-- The root and all forest coordinates have their independent prescribed Gaussian laws, including zero variances. -/ theorem tensorGaussianRootForest_measurePreserving {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) : MeasurePreserving (fun g => (tensorGaussianNodes I degree n v g none, fun w => tensorGaussianNodes I degree n v g (some w))) gaussianCoordinates ((tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)).prod (Measure.infinitePi (fun w : ForestVertex n => (tensorGaussianLaw I degree (v (forestVertexDepth n w + 1)) : Measure (SpinTensorIndex I degree → ℝ))))) := by refine ⟨by unfold tensorGaussianNodes tensorStandardGaussianNodes; fun_prop, ?_⟩ change gaussianCoordinates.map ((fun q : Option (ForestVertex n) → SpinTensorIndex I degree → ℝ => (q none, fun w => q (some w))) ∘ tensorGaussianNodes I degree n v) = _ rw [← Measure.map_map (by fun_prop) (measurable_tensorGaussianNodes I degree n v), (tensorGaussianNodes_measurePreserving I degree n v).map_eq] have he := infinitePi_option_split (tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)) (fun w : ForestVertex n => (tensorGaussianLaw I degree (v (forestVertexDepth n w + 1)) : Measure (SpinTensorIndex I degree → ℝ))) have hc : (fun w : Option (ForestVertex n) => w.elim (tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)) (fun w => (tensorGaussianLaw I degree (v (forestVertexDepth n w + 1)) : Measure (SpinTensorIndex I degree → ℝ)))) = (fun w => (tensorGaussianLaw I degree (v (nodeAddress n w).length) : Measure (SpinTensorIndex I degree → ℝ))) := by funext w cases w with | none => cases n <;> rfl | some w => simp only [Option.elim_some, nodeAddress_length_some] simpa only [hc] using he lemma cylinderField_tensorLeaf_nodes {N m k : ℕ} (U : Rotation N) (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (σ : Spin N) (leaf : LabeledLeaf n) (g : ℕ → ℝ) : cylinderField (tensorLeafCoefficients U I degree amplitude n (fun i => v i) (σ, leaf)) g = spinTensorEnergy U I degree amplitude (tensorGaussianNodes I degree n v g none) σ + ∑ i : Fin n, spinTensorEnergy U I degree amplitude (tensorGaussianNodes I degree n v g (some (edgeAt n leaf i))) σ := by classical have he : cylinderField (tensorLeafCoefficients U I degree amplitude n (fun i => v i) (σ, leaf)) g = ∑ i : Fin (n + 1), spinTensorEnergy U I degree amplitude (tensorGaussianNodes I degree n v g (nodeAt n leaf i)) σ := by rw [tensorLeafCoefficients, cylinderField_feature, Fintype.sum_prod_type] apply Finset.sum_congr rfl intro i _ unfold spinTensorEnergy tensorGaussianNodes tensorStandardGaussianNodes rw [nodeAddress_nodeAt_length] apply Finset.sum_congr rfl intro j _ rw [tensorNodeTag_nodeAt] ring rw [he, Fin.sum_univ_succ] simp only [nodeAt_zero, nodeAt_succ] def tensorFlatToCoordinates {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (p : LabeledTree n × (ℕ → ℝ)) : (SpinTensorIndex I degree → ℝ) × TensorCoordinateData I degree n := (tensorGaussianNodes I degree n v p.2 none, (p.1, fun w => tensorGaussianNodes I degree n v p.2 (some w))) theorem tensorFlatToCoordinates_measurePreserving {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) : MeasurePreserving (tensorFlatToCoordinates I degree n v) ((labeledCascadeLaw n b : Measure (LabeledTree n)).prod gaussianCoordinates) ((tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)).prod (tensorCoordinateLaw I degree n b (fun i => v (i + 1)))) := by let R := (tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)) let T := (labeledCascadeLaw n b : Measure (LabeledTree n)) let F := Measure.infinitePi (fun w : ForestVertex n => (tensorGaussianLaw I degree (v (forestVertexDepth n w + 1)) : Measure (SpinTensorIndex I degree → ℝ))) have hswap : MeasurePreserving Prod.swap (T.prod R) (R.prod T) := Measure.measurePreserving_swap have hshuffle := (measurePreserving_prodAssoc R T F).comp ((hswap.prod (MeasurePreserving.id F)).comp ((measurePreserving_prodAssoc T R F).symm MeasurableEquiv.prodAssoc)) have hprod := (MeasurePreserving.id T).prod (tensorGaussianRootForest_measurePreserving I degree n v) convert hshuffle.comp hprod using 1 all_goals rfl def tensorFlatToLabeled {N m k : ℕ} (U : Rotation N) (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (p : LabeledTree n × (ℕ → ℝ)) : (SpinTensorIndex I degree → ℝ) × TensorLabeledData N n := let q := tensorFlatToCoordinates I degree n v p (q.1, tensorEnergyCoordinates U I degree amplitude n q.2) /-- The flat Gaussian spin/leaf model is exactly the independent Gaussian root and tensor-energy forest model used by the cascade recursion. -/ theorem tensorFlatToLabeled_measurePreserving {N m k : ℕ} (U : Rotation N) (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ) (n : ℕ) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) : MeasurePreserving (tensorFlatToLabeled U I degree amplitude n v) ((labeledCascadeLaw n b : Measure (LabeledTree n)).prod gaussianCoordinates) ((tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)).prod (tensorLabeledLaw U I degree amplitude n b (fun i => v (i + 1)))) := by have h := ((MeasurePreserving.id (tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ))).prod (tensorEnergyCoordinates_measurePreserving U I degree amplitude n b (fun i => v (i + 1)))).comp (tensorFlatToCoordinates_measurePreserving I degree n b v) convert h using 1 all_goals rfl theorem tensorLabeledEnergy_flat_eq {N m k : ℕ} (eig : Fin N → ℝ) (U : Rotation N) (c : Fin N → ℝ) (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (amplitude : Fin k → ℝ) (n : ℕ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (p : LabeledTree n × (ℕ → ℝ)) (x : Spin N × LabeledLeaf n) : let q := tensorFlatToLabeled U I degree amplitude n v p tensorLabeledEnergy eig U c I degree amplitude n q.1 q.2 x = rotatedEnergy eig U x.1 + fieldEnergy c x.1 + cylinderField (tensorLeafCoefficients U I degree amplitude n (fun i => v i) x) p.2 := by rw [cylinderField_tensorLeaf_nodes] dsimp only [tensorFlatToLabeled, tensorFlatToCoordinates, tensorLabeledEnergy, cascadeCoordinateEnergy, tensorSpinBaseEnergy, tensorEnergyCoordinates] ring end InvariantIsing end end OAI