import Mathlib import OAI.Probability.SKBarriers.SpinGlass.SpinCoefficientVariation namespace OAI section section noncomputable section open scoped BigOperators open MeasureTheory ProbabilityTheory Filter namespace SK.Analytic attribute [local instance 2000] parameterNormedGroup parameterNormedSpace theorem hierarchyMeanOverlap_eq_mean_integrals {S : Type} [Fintype S] [Nonempty S] {N : ℕ} (n : ℕ) (m : Fin n → ℝ) (U : S → ParameterSpace n →L[ℝ] ℝ) (c : Fin N → S → ℝ) (hc : ∀ i s, ‖c i s‖ ≤ 1) (j : Fin (n+1)) : hierarchyMeanOverlap n m U c j = (∑ i, ∫ z, (hierarchySpinMean n m U (c i) j z)^2 ∂hierarchyPathLaw n m (affineLogPartition (fun _ => 0) U) 0) / (N:ℝ) := by unfold hierarchyMeanOverlap hierarchyMeanSquare normalizedSquare rw [integral_div,integral_finsetSum] intro i _ have hr := hierarchySpinMean_regular n m U (c i) (by norm_num : (0:ℝ) ≤ 1) (hc i) j apply hierarchyPathLaw_integrable n m _ _ (affineLogPartition_boundedDerivs (fun _ => 0) U) (hr.1.pow 2) (C := 1) _ 0 intro z dsimp only [Pi.pow_apply] rw [norm_pow] exact pow_le_one₀ (norm_nonneg _) (hr.2 z) theorem blockAtom_sum_mul (D N k : ℕ) (f : Fin (blockDimension D N k+1) → ℝ) : (∑ j, hierarchyAtom (blockDimension D N k) (blockMass D N k) 1 j*f j) = ∑ b : Fin (k+1), ((k+1 : ℕ) : ℝ)⁻¹*f (blockLevel D N k b) := by simp only [hierarchyAtom_blockMass,blockAtom,Finset.sum_mul] rw [Finset.sum_comm] apply Finset.sum_congr rfl intro b _ simp only [ite_mul,zero_mul,Finset.sum_ite_eq,Finset.mem_univ,ite_true] theorem fieldIndex_lt_blockLevel_iff (D N k : ℕ) (b l : Fin (k+1)) (i : Fin N) : (fieldIndex D N k b i).val < (blockLevel D N k l).val ↔ b ≤ l := by simp only [fieldIndex_val,blockLevel_val,Fin.le_def] constructor · intro h by_contra hn have hbl : l.val+1 ≤ b.val := by omega have hmul := Nat.mul_le_mul_right N hbl omega · intro h have hmul := Nat.mul_le_mul_right N h nlinarith [i.isLt] theorem blockPressure_coordinate_variation {D N k : ℕ} (I : Fin D → Finset (Fin N)) (a : Fin D → ℝ) (v : Fin (k+1) → ℝ) (b : Fin (k+1)) (i : Fin N) : fderiv ℝ (fun c : Fin (blockDimension D N k) → ℝ => hierarchyPressure (blockDimension D N k) (blockMass D N k) (affineLogPartition (fun _ => 0) (spinExponent (blockDimension D N k) c (blockInteraction I))) 0) (blockCoefficients a v) (Pi.single (fieldIndex D N k b i) 1) = v b * (1-∑ l : Fin (k+1), if b ≤ l then ((k+1:ℕ):ℝ)⁻¹ * (∫ z, (hierarchySpinMean (blockDimension D N k) (blockMass D N k) (blockExponent I a v) (fun s => spin (s i)) (blockLevel D N k l) z)^2 ∂hierarchyPathLaw (blockDimension D N k) (blockMass D N k) (affineLogPartition (fun _ => 0) (blockExponent I a v)) 0) else 0) := by rw [spinPressure_coefficient_variation,blockCoefficients_field,blockInteraction_field] simp only [spinMonomial,Finset.prod_singleton] congr 2 have he (j : Fin (blockDimension D N k+1)) (c : ℝ) : (if (fieldIndex D N k b i).val < j.val then hierarchyAtom (blockDimension D N k) (blockMass D N k) 1 j*c else 0) = hierarchyAtom (blockDimension D N k) (blockMass D N k) 1 j * (if (fieldIndex D N k b i).val < j.val then c else 0) := by split_ifs <;> simp simp_rw [he] rw [blockAtom_sum_mul] simp only [fieldIndex_lt_blockLevel_iff,mul_ite,mul_zero] rfl end SK.Analytic end end end end OAI