import Mathlib import OAI.Probability.LogConcave.JetEstimates.AssignmentsFinset import OAI.Probability.LogConcave.JetEstimates.MixedJetAdd namespace OAI section section noncomputable section open MeasureTheory Filter open scoped ENNReal NNReal Topology section UpperProof open MeasureTheory ProbabilityTheory Filter open scoped ENNReal NNReal RealInnerProductSpace Topology open Function MeasureTheory Set Filter open scoped Topology NNReal namespace LogConcaveSampling.Appell open MeasureTheory variable {E : Type} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E] variable {ι ϑ κ : Type*} [Fintype ι] [DecidableEq ι] [Fintype ϑ] [DecidableEq ϑ] [Fintype κ] theorem actual_jet_cumulant_energy {μ : Measure E} [IsProbabilityMeasure μ] (hμ : HasExpMoments μ) {β : ℝ} (hβ : 0≤β) (hP : HasPoincare μ β) (b : OrthonormalBasis κ ℝ E) (l : List ι) (k : List ϑ) (hl : l.Nodup) (hlall : l.toFinset=Finset.univ) (hk : k.Nodup) (hkall : k.toFinset=Finset.univ) (hlne : l≠[]) (hkne : k≠[]) (o : List (ι ⊕ ϑ)) (ho : o.Perm (l.map Sum.inl++k.map Sum.inr)) : TensorEnergy.Bound (fun (a : ι → κ) (c : ϑ → κ) => JetCalculus.jet (Sum.elim (fun i => b (a i)) (fun j => b (c j))) o (fun θ => Real.log (laplace μ (fun _ => (1:ℝ)) θ)) 0) (((Fintype.card ι+Fintype.card ϑ+1:ℕ):ℝ)^(2*(Fintype.card ι+Fintype.card ϑ+1)) * splitConstant β (Fintype.card ι) (Fintype.card ϑ)) := by classical have hs := (contDiff_laplace hμ continuous_const (HasGrowth.const (1:ℝ))).log (fun θ => (laplace_one_pos hμ θ).ne') simp_rw [JetCalculus.jet_perm hs _ ho, ← JetCalculus.mixedJet_add hs] exact actual_cumulant_energy hμ hβ hP b l k hl hlall hk hkall hlne hkne end LogConcaveSampling.Appell namespace LogConcaveSampling.TensorEnergy open scoped BigOperators variable {I J K L : Type*} [Fintype I] [Fintype J] [Fintype K] [Fintype L] noncomputable def zeroExtension (e : K ↪ I) (v : K → ℝ) (i : I) : ℝ := by classical exact ∑ k, if e k=i then v k else 0 omit [Fintype I] in lemma zeroExtension_apply (e : K ↪ I) (v : K → ℝ) (k : K) : zeroExtension e v (e k)=v k := by classical simp [zeroExtension,e.injective.eq_iff] lemma dot_zeroExtension (e : K ↪ I) (v : K → ℝ) (g : I → ℝ) : (∑ i, g i*zeroExtension e v i)=∑ k,g (e k)*v k := by classical simp only [zeroExtension,Finset.mul_sum] rw [Finset.sum_comm] apply Finset.sum_congr rfl intro k hk simp [mul_ite] lemma energy_zeroExtension (e : K ↪ I) (v : K → ℝ) : (∑ i, (zeroExtension e v i)^2)=∑ k,(v k)^2 := by simp only [pow_two] rw [dot_zeroExtension] simp only [zeroExtension_apply] lemma Bound.submatrix {A : I → J → ℝ} {C : ℝ} (h : Bound A C) (e : K ↪ I) (f : L ↪ J) : Bound (fun k l => A (e k) (f l)) C := by classical intro v have hh := h (zeroExtension f v) simp only [dot_zeroExtension,energy_zeroExtension] at hh apply le_trans _ hh let g : I → ℝ := fun i => (∑ l,A i (f l)*v l)^2 change (∑ k,g (e k)) ≤ ∑ i,g i rw [← Finset.sum_image (s := Finset.univ) (f := g) e.injective.injOn] apply Finset.sum_le_univ_sum_of_nonneg intro i exact sq_nonneg _ end LogConcaveSampling.TensorEnergy end UpperProof end end end end OAI