openAI-math-dataset / lean /OAI /Probability /FreeIsing /Trees /ClusterFactorAssembly.lean
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import OAI.Probability.FreeIsing.Estimates.FiniteBondMask
import OAI.Probability.FreeIsing.Factors.Transfer
import OAI.Probability.FreeIsing.Model
import OAI.Probability.FreeIsing.Trees.FiniteClusterLaw
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory
namespace Problem367.ClusterAssembly
theorem lintegral_finite_statistic
{Ω E : Type*} [MeasurableSpace Ω] [MeasurableSpace E]
[Fintype E] [MeasurableSingletonClass E]
(μ : Measure Ω) (A : Ω → E) (hA : Measurable A)
(weight : E → ENNReal)
(hlaw : ∀ e, μ {ω | A ω = e} = weight e) (f : E → ENNReal) :
(∫⁻ ω, f (A ω) ∂μ) = ∑ e, weight e * f e := by
rw [← lintegral_map (measurable_of_finite f) hA, lintegral_fintype]
apply Finset.sum_congr rfl
intro e he
rw [Measure.map_apply hA (measurableSet_singleton e)]
change f e * μ {ω | A ω = e} = weight e * f e
rw [hlaw, mul_comm]
theorem map_prod_apply_eq_finite_mixture
{Ω C E S : Type*} [MeasurableSpace Ω] [MeasurableSpace C]
[MeasurableSpace E] [MeasurableSpace S]
[Fintype E] [MeasurableSingletonClass E]
(μ : Measure Ω) (ν : Measure C) [SFinite ν]
(A : Ω → E) (hA : Measurable A)
(F : Ω × C → S) (hF : Measurable F)
(s : Set S) (hs : MeasurableSet s)
(weight color : E → ENNReal)
(hlaw : ∀ e, μ {ω | A ω = e} = weight e)
(hcolor : ∀ᵐ ω ∂μ, ν {c | F (ω, c) ∈ s} = color (A ω)) :
Measure.map F (μ.prod ν) s = ∑ e, weight e * color e := by
rw [Measure.map_apply hF hs, Measure.prod_apply (hs.preimage hF)]
calc
(∫⁻ ω, ν (Prod.mk ω ⁻¹' (F ⁻¹' s)) ∂μ) = ∫⁻ ω, color (A ω) ∂μ := by
apply lintegral_congr_ae
exact hcolor
_ = ∑ e, weight e * color e :=
lintegral_finite_statistic μ A hA weight hlaw color
theorem map_compProd_snd_apply_eq_finite_mixture
{Ω E S : Type*} [MeasurableSpace Ω] [MeasurableSpace E]
[MeasurableSpace S] [Fintype E] [MeasurableSingletonClass E]
(μ : Measure Ω) [SFinite μ] (κ : Kernel Ω S) [IsSFiniteKernel κ]
(A : Ω → E) (hA : Measurable A)
(s : Set S) (hs : MeasurableSet s)
(weight color : E → ENNReal)
(hlaw : ∀ e, μ {ω | A ω = e} = weight e)
(hcolor : ∀ᵐ ω ∂μ, κ ω s = color (A ω)) :
Measure.map Prod.snd (μ ⊗ₘ κ) s = ∑ e, weight e * color e := by
rw [Measure.map_apply measurable_snd hs,
Measure.compProd_apply (hs.preimage measurable_snd)]
calc
(∫⁻ ω, κ ω (Prod.mk ω ⁻¹' (Prod.snd ⁻¹' s)) ∂μ) =
∫⁻ ω, color (A ω) ∂μ := by
apply lintegral_congr_ae
exact hcolor
_ = ∑ e, weight e * color e :=
lintegral_finite_statistic μ A hA weight hlaw color
theorem cluster_mixture_sum {d : ℕ} {theta : ℝ}
(h0 : 0 ≤ theta) (h1 : theta ≤ 1)
(D : Finset (TreeVertex d)) (eta : TreeVertex d → IsingSpin) :
(∑ A : (inducedEdges D).powerset,
ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) A.val) *
ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) A.val eta)) =
freeCylinderWeight theta D eta := by
classical
rw [Finset.sum_coe_sort (inducedEdges D).powerset (fun A =>
ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) A) *
ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) A eta))]
rw [← FiniteCluster.marginal_eq_freeCylinderWeight theta D eta]
rw [ENNReal.ofReal_sum_of_nonneg (fun A _ =>
mul_nonneg (FiniteCluster.bondWeight_nonneg h0 h1 _ _)
(FiniteCluster.colorWeight_nonneg _ _ _))]
apply Finset.sum_congr rfl
intro A hA
exact (ENNReal.ofReal_mul (FiniteCluster.bondWeight_nonneg h0 h1 _ _)).symm
lemma measurableSet_spinCylinder {d : ℕ} (D : Finset (TreeVertex d))
(eta : TreeVertex d → IsingSpin) :
MeasurableSet {x : TreeVertex d → IsingSpin | ∀ v ∈ D, x v = eta v} := by
classical
simp only [Set.ofPred_forall]
apply MeasurableSet.iInter
intro v
apply MeasurableSet.iInter
intro hv
convert (show MeasurableSet ({eta v} : Set IsingSpin) by trivial).preimage
(measurable_pi_apply v : Measurable (fun x : TreeVertex d → IsingSpin => x v)) using 1
ext x
simp only [Set.mem_preimage, Set.mem_singleton_iff, Set.mem_ofPred_eq]
theorem hasFreeIsingLaw_map_prod_of_cluster_conditionals
{d : ℕ} {Ω C : Type*} [MeasurableSpace Ω] [MeasurableSpace C]
(μ : Measure Ω) (ν : Measure C) [SFinite ν]
{theta : ℝ} (h0 : 0 ≤ theta) (h1 : theta ≤ 1)
(F : Ω × C → TreeVertex d → IsingSpin) (hF : Measurable F)
(A : (D : Finset (TreeVertex d)) → Ω → (inducedEdges D).powerset)
(hA : ∀ D, Measurable (A D))
(hmask : ∀ D, ConnectedFinset D → ∀ a : (inducedEdges D).powerset,
μ {ω | A D ω = a} =
ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) a.val))
(hcolor : ∀ D, ConnectedFinset D → ∀ eta : TreeVertex d → IsingSpin,
∀ᵐ ω ∂μ, ν {c | ∀ v ∈ D, F (ω, c) v = eta v} =
ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) (A D ω).val eta)) :
HasFreeIsingLaw theta (Measure.map F (μ.prod ν)) := by
intro D hD eta
rw [map_prod_apply_eq_finite_mixture μ ν (A D) (hA D) F hF _
(measurableSet_spinCylinder D eta)
(fun a => ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) a.val))
(fun a => ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) a.val eta))
(hmask D hD) (hcolor D hD eta)]
exact cluster_mixture_sum h0 h1 D eta
theorem hasFreeIsingLaw_compProd_of_cluster_conditionals
{d : ℕ} {Ω : Type*} [MeasurableSpace Ω]
(μ : Measure Ω) [SFinite μ]
(κ : Kernel Ω (TreeVertex d → IsingSpin)) [IsSFiniteKernel κ]
{theta : ℝ} (h0 : 0 ≤ theta) (h1 : theta ≤ 1)
(A : (D : Finset (TreeVertex d)) → Ω → (inducedEdges D).powerset)
(hA : ∀ D, Measurable (A D))
(hmask : ∀ D, ConnectedFinset D → ∀ a : (inducedEdges D).powerset,
μ {ω | A D ω = a} =
ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) a.val))
(hcolor : ∀ D, ConnectedFinset D → ∀ eta : TreeVertex d → IsingSpin,
∀ᵐ ω ∂μ, κ ω {x | ∀ v ∈ D, x v = eta v} =
ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) (A D ω).val eta)) :
HasFreeIsingLaw theta (Measure.map Prod.snd (μ ⊗ₘ κ)) := by
intro D hD eta
rw [map_compProd_snd_apply_eq_finite_mixture μ κ (A D) (hA D) _
(measurableSet_spinCylinder D eta)
(fun a => ENNReal.ofReal (FiniteCluster.bondWeight theta (inducedEdges D) a.val))
(fun a => ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D) a.val eta))
(hmask D hD) (hcolor D hD eta)]
exact cluster_mixture_sum h0 h1 D eta
theorem hasFreeIsingLaw_map_prod_of_independent_bonds
{d : ℕ} {Ω C : Type*} [MeasurableSpace Ω] [MeasurableSpace C]
(μ : Measure Ω) (ν : Measure C) [SFinite ν]
{theta : ℝ} (h0 : 0 ≤ theta) (h1 : theta ≤ 1)
(X : (TreeVertex d × TreeVertex d) → Ω → Bool)
(hX : ∀ e, Measurable (X e))
(hindep : ∀ D : Finset (TreeVertex d),
iIndepFun (fun e : inducedEdges D => X e.val) μ)
(htrue : ∀ D : Finset (TreeVertex d), ∀ e ∈ inducedEdges D,
μ {ω | X e ω = true} = ENNReal.ofReal theta)
(hfalse : ∀ D : Finset (TreeVertex d), ∀ e ∈ inducedEdges D,
μ {ω | X e ω = false} = ENNReal.ofReal (1 - theta))
(F : Ω × C → TreeVertex d → IsingSpin) (hF : Measurable F)
(hcolor : ∀ D, ConnectedFinset D → ∀ eta : TreeVertex d → IsingSpin,
∀ᵐ ω ∂μ, ν {c | ∀ v ∈ D, F (ω, c) v = eta v} =
ENNReal.ofReal (FiniteCluster.colorWeight (inducedEdges D)
(openMask (inducedEdges D) X ω).val eta)) :
HasFreeIsingLaw theta (Measure.map F (μ.prod ν)) := by
classical
apply hasFreeIsingLaw_map_prod_of_cluster_conditionals μ ν h0 h1 F hF
(fun D => openMask (inducedEdges D) X)
(fun D => measurable_openMask _ _ (fun e _ => hX e)) _ hcolor
intro D hD A
exact openMask_atom_measure_ofReal_restricted μ (inducedEdges D) X
(hindep D) h0 h1 (htrue D) (hfalse D) A
end Problem367.ClusterAssembly
end
end OAI