Download lean/OAI/Probability/DilutedSpin/ClippedModelFacts.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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7.04 kB
| import OAI.Probability.DilutedSpin.CompoundRate | |
| import OAI.Probability.DilutedSpin.FunctionalStability | |
| import OAI.Probability.DilutedSpin.UpperMoments | |
| namespace OAI | |
| section | |
| namespace DilutedSpinGlass | |
| open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Filter | |
| open scoped NNReal | |
| lemma clippedModel_interaction_bounded {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) : | |
| ∀ᵐ z ∂(clippedModel M K).disorder.toMeasure, ‖z.1‖ ≤ K := by | |
| change ∀ᵐ z ∂Measure.map (clipSample K) M.disorder.toMeasure, ‖z.1‖ ≤ K | |
| apply (ae_map_iff (measurable_clipSample K).aemeasurable (measurableSet_le measurable_fst.norm measurable_const)).mpr | |
| exact ae_of_all _ (fun z => (pi_norm_le_iff_of_nonneg hK).mpr (fun s => by | |
| simpa only [Real.norm_eq_abs,clipSample] using clipReal_bound hK (z.1 s))) | |
| lemma clippedModel_field_bounded {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) : | |
| ∀ᵐ h ∂(clippedModel M K).field.toMeasure, |h| ≤ K := by | |
| change ∀ᵐ h ∂Measure.map (clipReal K) M.field.toMeasure, |h| ≤ K | |
| apply (ae_map_iff (measurable_clipReal K).aemeasurable (measurableSet_le measurable_id.abs measurable_const)).mpr | |
| exact ae_of_all _ (clipReal_bound hK) | |
| lemma clippedModel_interaction_integrable {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) : | |
| Integrable (fun z : InteractionSample p => ‖z.1‖) (clippedModel M K).disorder.toMeasure := by | |
| exact (integrable_const K).mono' (by fun_prop) ((clippedModel_interaction_bounded M hK).mono (fun z hz => by simpa only [norm_norm] using hz)) | |
| lemma clippedModel_field_integrable {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) : | |
| Integrable (fun h : ℝ => |h|) (clippedModel M K).field.toMeasure := by | |
| exact (integrable_const K).mono' (by fun_prop) ((clippedModel_field_bounded M hK).mono (fun z hz => by simpa only [Real.norm_eq_abs,abs_abs] using hz)) | |
| lemma clippedModel_symmetric {p : ℕ} (M : Model p) (K : ℝ) | |
| (hsym : ∀ e : Equiv.Perm (Fin p),IdentDistrib (fun z : InteractionSample p => z.1) | |
| (fun z : InteractionSample p => fun s => z.1 (fun i => s (e i))) M.disorder.toMeasure M.disorder.toMeasure) | |
| (e : Equiv.Perm (Fin p)) : | |
| IdentDistrib (fun z : InteractionSample p => z.1) | |
| (fun z : InteractionSample p => fun s => z.1 (fun i => s (e i))) | |
| (clippedModel M K).disorder.toMeasure (clippedModel M K).disorder.toMeasure := by | |
| constructor | |
| · exact measurable_fst.aemeasurable | |
| · exact (show Measurable (fun z : InteractionSample p => fun (s : Fin p → Spin) => z.1 (fun l => s (e l))) by fun_prop).aemeasurable | |
| · change Measure.map _ (Measure.map (clipSample K) M.disorder.toMeasure)=Measure.map _ (Measure.map (clipSample K) M.disorder.toMeasure) | |
| rw [Measure.map_map measurable_fst (measurable_clipSample K), | |
| Measure.map_map (show Measurable (fun z : InteractionSample p => fun (s : Fin p → Spin) => z.1 (fun l => s (e l))) by fun_prop) (measurable_clipSample K)] | |
| exact (interaction_clip_symmetric M K hsym e).map_eq | |
| lemma clip_interaction_difference_integrable {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) | |
| (hi : Integrable (fun z : InteractionSample p => ‖z.1‖) M.disorder.toMeasure) : | |
| Integrable (fun z => ‖(clipSample K z).1-z.1‖) M.disorder.toMeasure := by | |
| apply (hi.const_mul 2).mono' ((measurable_fst.comp (measurable_clipSample K)).sub measurable_fst).norm.aestronglyMeasurable | |
| exact ae_of_all _ (fun z => by | |
| simp only [norm_norm] | |
| change ‖(clipSample K z).1-z.1‖ ≤ 2*‖z.1‖ | |
| rw [norm_sub_rev] | |
| exact clipSample_difference_bound hK z) | |
| lemma clip_field_difference_integrable {p : ℕ} (M : Model p) {K : ℝ} (hK : 0 ≤ K) | |
| (hi : Integrable (fun h : ℝ => |h|) M.field.toMeasure) : | |
| Integrable (fun h => |clipReal K h-h|) M.field.toMeasure := by | |
| apply (hi.const_mul 2).mono' ((measurable_clipReal K).sub measurable_id).abs.aestronglyMeasurable | |
| exact ae_of_all _ (fun h => by | |
| simp only [Real.norm_eq_abs,abs_abs] | |
| change |clipReal K h-h| ≤ 2*|h| | |
| have h1 := abs_sub (clipReal K h) h | |
| have h2 := clipReal_abs_le hK h | |
| linarith) | |
| end DilutedSpinGlass | |
| end | |
| section | |
| namespace DilutedSpinGlass | |
| open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory | |
| open scoped BigOperators | |
| noncomputable def replicaInsertionMoment {p n : ℕ} (M : Model p) (R : ℝ) | |
| (P : Fin p → FiniteLaw (Fin n → Spin)) : ℝ := | |
| ∫ z : InteractionSample p, (-z.2.2.1)^n*(FiniteLaw.pi P).expect | |
| (fun s => ∏ a : Fin n,∏ l : Fin p,factorCut R (z.2.2.2 l) (s l a)) ∂M.disorder.toMeasure | |
| /-- The literal order-n replica coefficient of the three independent-label | |
| insertions. The old spin-pattern law P and fresh-label spin-pattern law B | |
| are arbitrary; their laws are not assumed to agree. -/ | |
| lemma replicaInsertion_combination {p n : ℕ} (M : Model p) (hM : Admissible M) | |
| (j : Fin p) (R : ℝ) (P B : FiniteLaw (Fin n → Spin)) : | |
| replicaInsertionMoment M R (fun _ : Fin p => P) - | |
| (p:ℝ)*replicaInsertionMoment M R (fun l : Fin p => if l=j then P else B) + | |
| ((p-1:ℕ):ℝ)*replicaInsertionMoment M R (fun _ : Fin p => B) = | |
| (∫ z : InteractionSample p,(-z.2.2.1)^n ∂M.disorder.toMeasure)* | |
| ((∫ z : InteractionSample p,patternFeature R P (z.2.2.2 j) ∂M.disorder.toMeasure)^p - | |
| (p:ℝ)*(∫ z : InteractionSample p,patternFeature R P (z.2.2.2 j) ∂M.disorder.toMeasure)* | |
| (∫ z : InteractionSample p,patternFeature R B (z.2.2.2 j) ∂M.disorder.toMeasure)^(p-1) + | |
| ((p-1:ℕ):ℝ)*(∫ z : InteractionSample p,patternFeature R B (z.2.2.2 j) ∂M.disorder.toMeasure)^p) := by | |
| classical | |
| unfold replicaInsertionMoment | |
| rw [upper_pattern_moment M hM j,upper_pattern_moment M hM j,upper_pattern_moment M hM j] | |
| simp only [Finset.prod_const,Finset.card_univ,Fintype.card_fin] | |
| have he : (∏ l : Fin p, ∫ z : InteractionSample p, | |
| patternFeature R (if l=j then P else B) (z.2.2.2 j) ∂M.disorder.toMeasure) = | |
| (∫ z : InteractionSample p,patternFeature R P (z.2.2.2 j) ∂M.disorder.toMeasure)* | |
| (∫ z : InteractionSample p,patternFeature R B (z.2.2.2 j) ∂M.disorder.toMeasure)^(p-1) := by | |
| convert product_one_distinguished j | |
| (∫ z : InteractionSample p,patternFeature R P (z.2.2.2 j) ∂M.disorder.toMeasure) | |
| (∫ z : InteractionSample p,patternFeature R B (z.2.2.2 j) ∂M.disorder.toMeasure) using 1 | |
| · apply Finset.prod_congr rfl | |
| intro l _ | |
| split_ifs <;> rfl | |
| · simp | |
| rw [he] | |
| ring | |
| lemma replicaInsertion_coefficient_nonpos {p n : ℕ} (M : Model p) (hM : Admissible M) | |
| (hn : 1≤n) (j : Fin p) (R t : ℝ) (ht : 0≤t) (P B : FiniteLaw (Fin n → Spin)) : | |
| -(t^n/(n:ℝ))*(replicaInsertionMoment M R (fun _ : Fin p => P) - | |
| (p:ℝ)*replicaInsertionMoment M R (fun l : Fin p => if l=j then P else B) + | |
| ((p-1:ℕ):ℝ)*replicaInsertionMoment M R (fun _ : Fin p => B)) ≤ 0 := by | |
| rw [replicaInsertion_combination M hM j, ← mul_assoc] | |
| exact admissible_upper_coefficient_nonpos M hM n hn t _ _ ht | |
| end DilutedSpinGlass | |
| end | |
| end OAI | |