Download lean/OAI/Probability/Perceptron/Variational/AnnealedIBP.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 9.24 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/Perceptron/Variational/AnnealedIBP.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/Perceptron/Variational/AnnealedIBP.lean
-
curl -L -o AnnealedIBP.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/Perceptron/Variational/AnnealedIBP.lean
9.24 kB
| import Mathlib | |
| import OAI.Probability.Perceptron.Variational.Contact | |
| import OAI.Probability.Perceptron.Interpolation.KernelReplicaGibbs | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory Filter Set | |
| open scoped Topology NNReal ENNReal BigOperators BoundedContinuousFunction | |
| namespace SphericalPerceptronFreeEnergy | |
| def sourceCouplingCovariance (n k : ℕ) (p d : Fin (n+1) → ℕ) (u : Fin (n+1) → ℝ) | |
| (j : Fin (n+1)) (x y : NormalizedSpin (n+1)×IndexedLeaf k) := | |
| perturbationAmplitude (n+1) (fun _ => 1) j * perturbationAmplitude (n+1) u j * | |
| sourceJointMonomial p d j x y | |
| lemma sourceCouplingCovariance_measurable (n k r : ℕ) (p d : Fin (n+1) → ℕ) | |
| (u : Fin (n+1) → ℝ) (j : Fin (n+1)) (i l : Fin r) : | |
| Measurable (fun x : Fin r → NormalizedSpin (n+1)×IndexedLeaf k => | |
| sourceCouplingCovariance n k p d u j (x i) (x l)) := by | |
| have hh := (sourceReplica_covariance_measurable (N := n+1) (k := k) p d j i l).const_mul | |
| (perturbationAmplitude (n+1) (fun _ => 1) j * perturbationAmplitude (n+1) u j) | |
| exact hh | |
| lemma sourceCouplingCovariance_bound (n k : ℕ) (p d : Fin (n+1) → ℕ) (u : Fin (n+1) → ℝ) | |
| (j : Fin (n+1)) (x y : NormalizedSpin (n+1)×IndexedLeaf k) : | |
| |sourceCouplingCovariance n k p d u j x y| ≤ | |
| |perturbationAmplitude (n+1) (fun _ => 1) j*perturbationAmplitude (n+1) u j| := by | |
| unfold sourceCouplingCovariance | |
| rw [abs_mul] | |
| simpa only [mul_one] using mul_le_mul_of_nonneg_left | |
| (sourceJointMonomial_abs_le p d j x y) (abs_nonneg (perturbationAmplitude (n+1) (fun _ => 1) j*perturbationAmplitude (n+1) u j)) | |
| lemma sourceCoupling_conditional_ibp (n k r : ℕ) (f : ℝ →ᵇ ℝ) | |
| (p d : Fin (n+1) → ℕ) (h : Fin (k+1) → ℝ) | |
| (hh0 : ∀ l, 0 ≤ h l) (hh : Monotone h) (u : Fin (n+1) → ℝ) | |
| (j : Fin (n+1)) (i : Fin r) (b : SourceBaseData n k) | |
| {G : (Fin r → NormalizedSpin (n+1)×IndexedLeaf k) → ℝ} | |
| (hG : Measurable G) {B : ℝ} (hB : 0 ≤ B) (hGB : ∀ x, |G x| ≤ B) : | |
| (∫ g, gibbsReplicaMean (sourceSpinLeafKernel n k b) | |
| (sourceCouplingHamiltonian n k f p d h u (b,g)) r | |
| (fun x => sourceCouplingEnergy n k p d h j (b,g) (x i)*G x) ∂countableGaussianLaw) = | |
| ∫ g, gibbsReplicaMean (sourceSpinLeafKernel n k b) | |
| (sourceCouplingHamiltonian n k f p d h u (b,g)) r | |
| (fun x => G x*∑ l, sourceCouplingCovariance n k p d u j (x i) (x l)) - | |
| r*gibbsReplicaMean (sourceSpinLeafKernel n k b) | |
| (sourceCouplingHamiltonian n k f p d h u (b,g)) (r+1) | |
| (fun x => G (fun l => x l.succ)*sourceCouplingCovariance n k p d u j (x i.succ) (x 0)) | |
| ∂countableGaussianLaw := by | |
| let c := perturbationAmplitude (n+1) (fun _ => 1) j | |
| have hb := sourceReplica_gaussian_ibp n b.1 k r f (patternPrefix (n+1) b.1 b.2.1) | |
| p d h hh0 hh u b.2.2 j i hG hB hGB | |
| dsimp only at hb | |
| have he := congrArg (fun x : ℝ => c*x) hb | |
| simp only [sourceSpinLeafKernel_apply,sourceCouplingHamiltonian,sourceCouplingEnergy, | |
| sourceCouplingCovariance] | |
| have hs (x : Fin r → NormalizedSpin (n+1)×IndexedLeaf k) : | |
| G x*∑ l, c*perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i) (x l) = | |
| c*(G x*∑ l, perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i) (x l)) := by | |
| simp only [mul_assoc,Finset.mul_sum] | |
| ring_nf | |
| simp only [mul_assoc] | |
| change (∫ g, gibbsReplicaMean (enrichedIndexedBaseMeasure n k b.2.2) | |
| (enrichedIndexedHamiltonian n b.1 k f (patternPrefix (n+1) b.1 b.2.1) p d h u g) r | |
| (fun x => c*(countableGaussianField (sourceGaussianTestRow p d h j) | |
| (indexedGaussianRowLength (I := EnrichedIndex (n+1) (n+1) p) k) g (x i)*G x)) ∂countableGaussianLaw) = _ | |
| simp_rw [replicaMean_const_mul,integral_const_mul] | |
| rw [hb, ← integral_const_mul] | |
| apply integral_congr_ae | |
| exact ae_of_all _ fun g => by | |
| have hs₁ : (fun x : Fin r → NormalizedSpin (n+1)×IndexedLeaf k => | |
| G x * ∑ l, c*(perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i) (x l))) = | |
| (fun x => c*(G x*∑ l, perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i) (x l))) := by | |
| funext x | |
| rw [← Finset.mul_sum] | |
| ring | |
| have hs₂ : (fun x : Fin (r+1) → NormalizedSpin (n+1)×IndexedLeaf k => | |
| G (fun l => x l.succ)*(c*(perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i.succ) (x 0)))) = | |
| (fun x => c*(G (fun l => x l.succ)*(perturbationAmplitude (n+1) u j*sourceJointMonomial p d j (x i.succ) (x 0)))) := by | |
| funext x | |
| ring | |
| rw [hs₁, hs₂] | |
| simp only [replicaMean_const_mul] | |
| ring | |
| lemma sourceCoupling_annealed_ibp (n k r : ℕ) (f : ℝ →ᵇ ℝ) | |
| (p d : Fin (n+1) → ℕ) (h : Fin (k+1) → ℝ) | |
| (hh0 : ∀ l, 0 ≤ h l) (hh : Monotone h) (u : Fin (n+1) → ℝ) | |
| (j : Fin (n+1)) (i : Fin r) (z : Fin k → ℝ) (t : ℝ≥0) | |
| {G : (Fin r → NormalizedSpin (n+1)×IndexedLeaf k) → ℝ} | |
| (hG : Measurable G) {B : ℝ} (hB : 0 ≤ B) (hGB : ∀ x, |G x| ≤ B) | |
| (hYi : Integrable (fun a => tiltMean (sourceSpinLeafKernel n k a.1) | |
| (sourceCouplingHamiltonian n k f p d h u a) | |
| (fun x => |sourceCouplingEnergy n k p d h j a x|) 1) | |
| ((sourceBaseDataLaw n k z t).prod countableGaussianLaw)) : | |
| let H := sourceCouplingHamiltonian n k f p d h u | |
| let Y := sourceCouplingEnergy n k p d h j | |
| let C := sourceCouplingCovariance n k p d u j | |
| let P := (sourceBaseDataLaw n k z t).prod countableGaussianLaw | |
| (∫ a, gibbsReplicaMean (sourceSpinLeafKernel n k a.1) (H a) r (fun x => Y a (x i)*G x) ∂P) = | |
| ∫ a, gibbsReplicaMean (sourceSpinLeafKernel n k a.1) (H a) r (fun x => G x*∑ l, C (x i) (x l)) - | |
| r*gibbsReplicaMean (sourceSpinLeafKernel n k a.1) (H a) (r+1) | |
| (fun x => G (fun l => x l.succ)*C (x i.succ) (x 0)) ∂P := by | |
| dsimp only | |
| let P := (sourceBaseDataLaw n k z t).prod countableGaussianLaw | |
| let H := sourceCouplingHamiltonian n k f p d h u | |
| let Y := sourceCouplingEnergy n k p d h j | |
| let C := sourceCouplingCovariance n k p d u j | |
| let C₀ := |perturbationAmplitude (n+1) (fun _ => 1) j*perturbationAmplitude (n+1) u j| | |
| have hH := sourceCouplingHamiltonian_measurable n k f p d h u | |
| have hY := sourceCouplingEnergy_measurable n k p d h j | |
| have he := sourceCoupling_all_exp_ae n k f p d h hh0 hh u j z t | |
| have he0 : ∀ᵐ a ∂P, Integrable (fun x => Real.exp (H a x)) (sourceSpinLeafKernel n k a.1) := by | |
| filter_upwards [he] with a ha | |
| simpa only [zero_mul,add_zero] using ha 0 | |
| have he1 : ∀ᵐ a ∂P, Integrable (fun x => Real.exp (H a x)*Y a x) (sourceSpinLeafKernel n k a.1) := by | |
| filter_upwards [he] with a ha | |
| simpa only [zero_mul,add_zero,pow_one] using coupling_weighted_power_integrable | |
| (sourceSpinLeafKernel n k a.1) hH.of_uncurry_left hY.of_uncurry_left ha 0 1 | |
| have hi := kernel_replica_energy_integrable (sourceFullSpinLeafKernel n k) P i hH hY hG he0 he1 hYi hB hGB | |
| have hmG : Measurable (fun x : Fin (r+1) → NormalizedSpin (n+1)×IndexedLeaf k => G (fun l => x l.succ)) := | |
| hG.comp (Measurable.of_eval fun coordinate => measurable_pi_apply coordinate.succ) | |
| have hsum : ∀ x : Fin r → NormalizedSpin (n+1)×IndexedLeaf k, |∑ l, C (x i) (x l)| ≤ r*C₀ := by | |
| intro x | |
| apply (Finset.abs_sum_le_sum_abs _ _).trans | |
| calc | |
| _ ≤ ∑ _ : Fin r, C₀ := Finset.sum_le_sum fun l _ => sourceCouplingCovariance_bound n k p d u j _ _ | |
| _ = _ := by simp | |
| have h1G : Measurable (fun x : Fin r → NormalizedSpin (n+1)×IndexedLeaf k => G x*∑ l, C (x i) (x l)) := | |
| hG.mul (Finset.measurable_sum _ fun l _ => sourceCouplingCovariance_measurable n k r p d u j i l) | |
| have h2G : Measurable (fun x : Fin (r+1) → NormalizedSpin (n+1)×IndexedLeaf k => G (fun l => x l.succ)*C (x i.succ) (x 0)) := | |
| hmG.mul (sourceCouplingCovariance_measurable n k (r+1) p d u j i.succ 0) | |
| have hi1 := kernel_replicaMean_bounded_integrable (sourceFullSpinLeafKernel n k) P | |
| (G := fun _ x => G x*∑ l, C (x i) (x l)) hH (h1G.comp measurable_snd) | |
| (show 0 ≤ B*(r*C₀) by positivity) (fun _ x => by | |
| rw [abs_mul]; exact mul_le_mul (hGB x) (hsum x) (abs_nonneg _) hB) | |
| have hi2 := kernel_replicaMean_bounded_integrable (sourceFullSpinLeafKernel n k) P | |
| (G := fun _ x => G (fun l => x l.succ)*C (x i.succ) (x 0)) hH (h2G.comp measurable_snd) | |
| (show 0 ≤ B*C₀ by positivity) (fun _ x => by | |
| rw [abs_mul]; exact mul_le_mul (hGB _) (sourceCouplingCovariance_bound n k p d u j _ _) (abs_nonneg _) hB) | |
| change (∫ a, gibbsReplicaMean (sourceFullSpinLeafKernel n k a) (H a) r (fun x => Y a (x i)*G x) ∂P) = | |
| ∫ a, gibbsReplicaMean (sourceFullSpinLeafKernel n k a) (H a) r (fun x => G x*∑ l, C (x i) (x l))- | |
| r*gibbsReplicaMean (sourceFullSpinLeafKernel n k a) (H a) (r+1) (fun x => G (fun l => x l.succ)*C (x i.succ) (x 0)) ∂P | |
| have hiR := hi1.sub (hi2.const_mul (r:ℝ)) | |
| dsimp only [sourceFullSpinLeafKernel,Kernel.comap_apply,P,H,Y,C,Pi.sub_apply] at hi hiR ⊢ | |
| have hprodR := integral_prod _ hiR | |
| simp only [Pi.sub_apply] at hprodR | |
| rw [integral_prod _ hi, hprodR] | |
| apply integral_congr_ae | |
| exact ae_of_all _ fun b => sourceCoupling_conditional_ibp n k r f p d h hh0 hh u j i b hG hB hGB | |
| end SphericalPerceptronFreeEnergy | |
| end | |
| end OAI | |