import OAI.Probability.InvariantIsing.Arrays.NSpinTensorPairConditioning import OAI.Probability.InvariantIsing.Arrays.OverlapBounds namespace OAI /-! Actual bounded spin pair tests under the published marked-path law. -/ noncomputable section open MeasureTheory ProbabilityTheory IsingPerceptron open scoped BigOperators ENNReal NNReal namespace InvariantIsing abbrev TensorPairPathData {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) := (SpinTensorIndex I degree → ℝ) × (Fin n → (SpinTensorIndex I degree → ℝ) × (SpinTensorIndex I degree → ℝ)) def tensorPairPathState {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (p : TensorPairPathData I degree n) (j : Fin 2) : SpinTensorIndex I degree → ℝ := p.1 + ∑ i, if j = 0 then (p.2 i).1 else (p.2 i).2 lemma measurable_tensorPairPathState {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (j : Fin 2) : Measurable (fun p => tensorPairPathState I degree n p j) := by have hm (i : Fin n) : Measurable (fun p : TensorPairPathData I degree n => if j = 0 then (p.2 i).1 else (p.2 i).2) := by split_ifs · exact ((measurable_pi_apply i).comp measurable_snd).fst · exact ((measurable_pi_apply i).comp measurable_snd).snd exact measurable_fst.add (Finset.measurable_sum _ fun i _ => hm i) private lemma measurable_tensorPairSpinMeasures {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) : Measurable (fun p : TensorPairPathData I degree n => Measure.pi (fun j : Fin 2 => gibbsProbability (uniformSpinPrior N : Measure (Spin N)) (tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j)))) := by have hν (j : Fin 2) : Measurable (fun p : TensorPairPathData I degree n => gibbsProbability (uniformSpinPrior N : Measure (Spin N)) (tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j))) := by let H : TensorPairPathData I degree n × Spin N → ℝ := fun p => tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p.1 j) p.2 have hH : Measurable H := by apply measurable_from_prod_countable_left intro σ have hm := (measurable_pi_apply σ).comp ((measurable_spinTensorEnergyMark U I degree amplitude).comp (measurable_tensorPairPathState I degree n j)) exact hm.const_add (rotatedEnergy eig U σ + fieldEnergy c σ) exact measurable_gibbsProbability (ν := fun _ : TensorPairPathData I degree n => (uniformSpinPrior N : Measure (Spin N))) (H := H) measurable_const hH apply Measure.measurable_of_measurable_coe intro s hs have he (p : TensorPairPathData I degree n) : (Measure.pi (fun j : Fin 2 => gibbsProbability (uniformSpinPrior N : Measure (Spin N)) (tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j)))) s = ∑' σ : Fin 2 → Spin N, (∏ j : Fin 2, gibbsProbability (uniformSpinPrior N : Measure (Spin N)) (tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j)) {σ j}) * Measure.dirac σ s := by rw [← Measure.sum_smul_dirac (Measure.pi _), Measure.sum_apply _ hs] simp only [Measure.smul_apply, smul_eq_mul, Measure.pi_singleton] simp_rw [he] apply Measurable.tsum intro σ exact (Finset.measurable_prod _ fun j _ => (Measure.measurable_coe (measurableSet_singleton _)).comp (hν j)).mul_const _ def tensorPairPathSpinKernel {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) : Kernel (TensorPairPathData I degree n) (Fin 2 → Spin N) := ⟨fun p => Measure.pi (fun j : Fin 2 => gibbsProbability (uniformSpinPrior N : Measure (Spin N)) (tensorSpinBaseEnergy eig U c I degree amplitude (tensorPairPathState I degree n p j))), measurable_tensorPairSpinMeasures eig U c I degree amplitude n⟩ instance tensorPairPathSpinKernel_markov {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) : IsMarkovKernel (tensorPairPathSpinKernel eig U c I degree amplitude n) := ⟨fun _ => inferInstanceAs (IsProbabilityMeasure (Measure.pi _))⟩ def tensorPairPathSpinMean {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) (p : TensorPairPathData I degree n) (D : (Fin 2 → Spin N) → ℝ) : ℝ := ∫ σ, D σ ∂tensorPairPathSpinKernel eig U c I degree amplitude n p lemma measurable_tensorPairPathSpinMean {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) (D : (Fin 2 → Spin N) → ℝ) : Measurable (fun p => tensorPairPathSpinMean eig U c I degree amplitude n p D) := by have hm : Measurable (fun p : TensorPairPathData I degree n × (Fin 2 → Spin N) => D p.2) := (measurable_of_countable D).comp measurable_snd exact (hm.stronglyMeasurable.integral_kernel_prod_right' (κ := tensorPairPathSpinKernel eig U c I degree amplitude n)).measurable lemma tensorPairPathSpinMean_abs_le {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) (p : TensorPairPathData I degree n) (D : (Fin 2 → Spin N) → ℝ) {C : ℝ} (hD : ∀ σ, |D σ| ≤ C) : |tensorPairPathSpinMean eig U c I degree amplitude n p D| ≤ C := abs_integral_le_const_of_bound (measurable_of_countable D) hD def tensorPairSpinPathPayoff {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) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) (p : (SpinTensorIndex I degree → ℝ) × (ℕ × (Fin n → (SpinTensorIndex I degree → ℝ) × (SpinTensorIndex I degree → ℝ)))) : ℝ := ψ p.2.1 * tensorPairPathSpinMean eig U c I degree amplitude n (p.1, p.2.2) D lemma measurable_tensorPairSpinPathPayoff {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) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) : Measurable (tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D) := ((measurable_of_countable ψ).comp measurable_snd.fst).mul ((measurable_tensorPairPathSpinMean eig U c I degree amplitude n D).comp (measurable_fst.prodMk measurable_snd.snd)) lemma tensorPairSpinPathPayoff_abs_le {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) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) {B C : ℝ} (hB : 0 ≤ B) (hψ : ∀ d, |ψ d| ≤ B) (hD : ∀ σ, |D σ| ≤ C) (p : (SpinTensorIndex I degree → ℝ) × (ℕ × (Fin n → (SpinTensorIndex I degree → ℝ) × (SpinTensorIndex I degree → ℝ)))) : |tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D p| ≤ B * C := by rw [tensorPairSpinPathPayoff, abs_mul] exact mul_le_mul (hψ _) (tensorPairPathSpinMean_abs_le eig U c I degree amplitude n _ D hD) (abs_nonneg _) hB private lemma tensorPairPathState_edges {N m k : ℕ} (I : Fin m → Finset (Fin N)) (degree : Fin k → Fin m → ℕ) (n : ℕ) (z : SpinTensorIndex I degree → ℝ) (p : TensorCoordinateData I degree n) (α : Fin 2 → LabeledLeaf n) (j : Fin 2) : tensorPairPathState I degree n (z, fun i => (p.2 (edgeAt n (α 0) i), p.2 (edgeAt n (α 1) i))) j = labeledEnergy n (markForestOfCoords (SpinTensorIndex I degree → ℝ) n p.2) (α j) z := by funext a rw [labeledEnergy_edge_sum] fin_cases j <;> simp [tensorPairPathState, Pi.add_apply, Finset.sum_apply] private lemma tensorPairPathSpinKernel_edges {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) (z : SpinTensorIndex I degree → ℝ) (p : TensorCoordinateData I degree n) (α : Fin 2 → LabeledLeaf n) : tensorPairPathSpinKernel eig U c I degree amplitude n (z, fun i => (p.2 (edgeAt n (α 0) i), p.2 (edgeAt n (α 1) i))) = spinLeafPairResidualKernel (tensorLeafSpinHamiltonian eig U c I degree amplitude n z p) α := by change Measure.pi _ = Measure.pi _ congr 1 funext j rw [tensorPairPathState_edges] rfl def tensorSpinPairAverage {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) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (z : SpinTensorIndex I degree → ℝ) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) : ℝ := ∫ p : TensorCoordinateData I degree n, referenceReplicaMean ((uniformSpinPrior N : Measure (Spin N)).prod (labeledLeafLaw n p.1)) (tensorLeafSpinHamiltonian eig U c I degree amplitude n z p) (fun x : Fin 2 → Spin N × LabeledLeaf n => ψ (labeledCommonDepth n (x 0).2 (x 1).2) * D (fun j => (x j).1)) ∂tensorCoordinateLaw I degree n b v theorem tensorSpinPairAverage_eq_tiltedPath {N m k : ℕ} (hN : 0 < 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) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (hb : CascadeExponents n b) (z : SpinTensorIndex I degree → ℝ) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) {B C : ℝ} (hB : 0 ≤ B) (hψ : ∀ d, |ψ d| ≤ B) (hD : ∀ σ, |D σ| ≤ C) : tensorSpinPairAverage eig U c I degree amplitude n b v z ψ D = tensorTiltedPairPathMean eig U c I degree amplitude n b v z (fun q => tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D (z, q)) := by apply integral_congr_ae filter_upwards [tensorLeafSpinPair_conditioning_ae hN eig U c I degree amplitude n b v hb z] with p hp let D' := fun x : Fin 2 → Spin N × LabeledLeaf n => ψ (labeledCommonDepth n (x 0).2 (x 1).2) * D (fun j => (x j).1) have hD' : ∀ x, |D' x| ≤ B * C := by intro x dsimp only [D'] rw [abs_mul] exact mul_le_mul (hψ _) (hD _) (abs_nonneg _) hB rw [hp D' ⟨B * C, hD'⟩] congr 1 funext α dsimp only [tensorPairSpinPathPayoff, tensorPairPathSpinMean] rw [tensorPairPathSpinKernel_edges] rw [← integral_const_mul] rfl /-- The actual spin/leaf pair expectation is a Markov ancestor-path expectation conditional only on the precise published cascade input. -/ theorem tensorSpinPair_markov_identity (hpub : PanchenkoTalagrandTensorPairInput) {N m k : ℕ} (hN : 0 < 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) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (hb : CascadeExponents n b) (z : SpinTensorIndex I degree → ℝ) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) {B C : ℝ} (hB : 0 ≤ B) (hψ : ∀ d, |ψ d| ≤ B) (hD : ∀ σ, |D σ| ≤ C) : tensorSpinPairAverage eig U c I degree amplitude n b v z ψ D = ∫ α : ℕ → LabeledLeaf n, tensorAncestorPairPathMean eig U c I degree amplitude n b v (labeledCommonDepth n (α 0) (α 1)) n 0 z z (fun w => tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D (z, labeledCommonDepth n (α 0) (α 1), w)) ∂cascadeReplicaLaw n b := by rw [tensorSpinPairAverage_eq_tiltedPath hN eig U c I degree amplitude n b v hb z ψ D hB hψ hD] apply hpub N m k hN eig U c I degree amplitude n b v hb z · exact (measurable_tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D).comp (measurable_const.prodMk measurable_id) · exact ⟨B * C, fun p => tensorPairSpinPathPayoff_abs_le eig U c I degree amplitude n ψ D hB hψ hD (z, p)⟩ theorem tensorProjectedOverlap_markov_identity (hpub : PanchenkoTalagrandTensorPairInput) {N m k : ℕ} (hN : 0 < 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) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (hb : CascadeExponents n b) (z : SpinTensorIndex I degree → ℝ) (J : Finset (Fin N)) (ψ : ℕ → ℝ) {B : ℝ} (hB : 0 ≤ B) (hψ : ∀ d, |ψ d| ≤ B) : tensorSpinPairAverage eig U c I degree amplitude n b v z ψ (fun σ => projectedOverlap U J (σ 0) (σ 1)) = ∫ α : ℕ → LabeledLeaf n, tensorAncestorPairPathMean eig U c I degree amplitude n b v (labeledCommonDepth n (α 0) (α 1)) n 0 z z (fun w => tensorPairSpinPathPayoff eig U c I degree amplitude n ψ (fun σ => projectedOverlap U J (σ 0) (σ 1)) (z, labeledCommonDepth n (α 0) (α 1), w)) ∂cascadeReplicaLaw n b := tensorSpinPair_markov_identity hpub hN eig U c I degree amplitude n b v hb z ψ _ hB hψ (fun σ => projectedOverlap_abs_le_one U J (σ 0) (σ 1)) /-- The root Gaussian retains its original law and is averaged after the conditional spin/ancestor-path identity. -/ theorem tensorRootedSpinPair_markov_identity (hpub : PanchenkoTalagrandTensorPairInput) {N m k : ℕ} (hN : 0 < 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) (b : ℕ → ℝ) (v : ℕ → SpinTensorIndex I degree → ℝ≥0) (hb : CascadeExponents n b) (ψ : ℕ → ℝ) (D : (Fin 2 → Spin N) → ℝ) {B C : ℝ} (hB : 0 ≤ B) (hψ : ∀ d, |ψ d| ≤ B) (hD : ∀ σ, |D σ| ≤ C) : (∫ z, tensorSpinPairAverage eig U c I degree amplitude n b (fun i => v (i + 1)) z ψ D ∂(tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ))) = ∫ z, ∫ α : ℕ → LabeledLeaf n, tensorAncestorPairPathMean eig U c I degree amplitude n b (fun i => v (i + 1)) (labeledCommonDepth n (α 0) (α 1)) n 0 z z (fun w => tensorPairSpinPathPayoff eig U c I degree amplitude n ψ D (z, labeledCommonDepth n (α 0) (α 1), w)) ∂cascadeReplicaLaw n b ∂(tensorGaussianLaw I degree (v 0) : Measure (SpinTensorIndex I degree → ℝ)) := by exact integral_congr_ae (ae_of_all _ fun z => tensorSpinPair_markov_identity hpub hN eig U c I degree amplitude n b (fun i => v (i + 1)) hb z ψ D hB hψ hD) end InvariantIsing end end OAI