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import OAI.Probability.FreeIsing.Brownian.DriftMoments
import OAI.Probability.FreeIsing.Energy.FiniteIsingFieldEnergy
import OAI.Probability.FreeIsing.Stochastic.FiniteIsingBrownianEnergy
import OAI.Probability.FreeIsing.Trees.GibbsField
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped NNReal ENNReal
namespace Problem367
local instance finiteIsingBrownianEntropyNonemptySpin : Nonempty IsingSpin := ⟨.neg⟩
def finiteIsingBrownianEntropy {d : ℕ} {Ω : Type*}
(beta : ℝ) (D : Finset (TreeVertex d)) (v : D)
(B : TreeVertex d → ℝ≥0 → Ω → ℝ) (t : ℝ)
(p : (TreeVertex d → IsingSpin) × (TreeVertex d → Ω)) : ℝ :=
FinitePosterior.fieldEntropy (finiteIsingEnergy beta D)
(fun eta u => spinSign (eta u)) (fun eta => spinSign (eta v))
(finiteIsingBrownianObservation B D t p)
def finiteIsingBrownianNormalizedCovariance {d : ℕ} {Ω : Type*}
(beta : ℝ) (D : Finset (TreeVertex d)) (v u : D)
(B : TreeVertex d → ℝ≥0 → Ω → ℝ) (t : ℝ)
(p : (TreeVertex d → IsingSpin) × (TreeVertex d → Ω)) : ℝ :=
FinitePosterior.normalizedFieldCovariance (finiteIsingEnergy beta D)
(fun eta w => spinSign (eta w)) (fun eta => spinSign (eta v))
(finiteIsingBrownianObservation B D t p) u
theorem finiteIsingBrownianEntropy_nonneg {d : ℕ} {Ω : Type*}
(beta : ℝ) (D : Finset (TreeVertex d)) (v : D)
(B : TreeVertex d → ℝ≥0 → Ω → ℝ) (t : ℝ)
(p : (TreeVertex d → IsingSpin) × (TreeVertex d → Ω)) :
0 ≤ finiteIsingBrownianEntropy beta D v B t p := by
exact FinitePosterior.fieldEntropy_nonneg _ _ _ _
(fun eta => by cases eta v <;> simp [spinSign])
⟨fun _ => .neg, rfl⟩ ⟨fun _ => .pos, rfl⟩
theorem finiteIsingBrownianEntropy_le_noise {d : ℕ} {Ω : Type*}
{beta : ℝ} (hbeta : 0 ≤ beta) (D : Finset (TreeVertex d)) (v : D)
(B : TreeVertex d → ℝ≥0 → Ω → ℝ) (t : ℝ≥0)
(p : (TreeVertex d → IsingSpin) × (TreeVertex d → Ω)) :
finiteIsingBrownianEntropy beta D v B t p ≤
2 * ((d : ℝ) * beta + (t : ℝ) + |B v t (p.2 v)|) := by
let y := finiteIsingBrownianObservation B D t p
have he := FinitePosterior.fieldEntropy_le_abs_field (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v)) y
(fun eta => by cases eta v <;> simp [spinSign])
⟨fun _ => .neg, rfl⟩ ⟨fun _ => .pos, rfl⟩
have hb := finite_tree_gibbs_field_uniform_bound D hbeta y v
have ho : |y v| ≤ (t : ℝ) + |B v t (p.2 v)| := by
change |(t : ℝ) * spinSign (p.1 v) + B v (Real.toNNReal (t : ℝ)) (p.2 v)| ≤ _
rw [Real.toNNReal_coe]
calc
_ ≤ |(t : ℝ) * spinSign (p.1 v)| + |B v t (p.2 v)| := abs_add_le _ _
_ = _ := by cases p.1 v <;> simp [spinSign, abs_of_nonneg t.coe_nonneg]
have hfield : |FinitePosterior.fieldField (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v)) y| ≤
(d : ℝ) * beta + (t : ℝ) + |B v t (p.2 v)| := by
have htri := abs_sub_le (FinitePosterior.fieldField (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v)) y)
(y v) 0
simp only [sub_zero] at htri
change |FinitePosterior.fieldField (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w))
(fun eta => spinSign (eta v)) y - y v| ≤ (d : ℝ) * beta at hb
linarith
exact he.trans (mul_le_mul_of_nonneg_left hfield (by norm_num))
private theorem integral_abs_gaussian_le_sqrt
{Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} [IsProbabilityMeasure P]
{X : Ω → ℝ} {t : ℝ≥0} (hX : HasLaw X (gaussianReal 0 t) P) :
(∫ ω, |X ω| ∂P) ≤ Real.sqrt (t : ℝ) := by
have hX2 : Integrable (fun ω => X ω ^ 2) P := by
simpa only [sq_abs] using integrable_abs_pow_of_gaussianLaw hX 2
have htrans := hX.integral_comp (f := fun x : ℝ => x ^ 2) (by fun_prop)
have hvar := variance_fun_id_gaussianReal (μ := 0) (v := t)
rw [variance_of_integral_eq_zero (μ := gaussianReal 0 t) (X := fun x : ℝ => x)
(by fun_prop) (by simp)] at hvar
have hsq : (∫ ω, X ω ^ 2 ∂P) = (t : ℝ) := htrans.trans hvar
exact (integral_abs_le_sqrt_integral_sq hX.aemeasurable hX2).trans_eq
(congrArg Real.sqrt hsq)
theorem finiteIsingBrownianEntropy_moment
{d : ℕ} {Ω : Type*} [MeasurableSpace Ω] {beta : ℝ} (hbeta : 0 ≤ beta)
(μ : Measure (TreeVertex d → IsingSpin)) [IsProbabilityMeasure μ]
(ν : TreeVertex d → Measure Ω) {B : TreeVertex d → ℝ≥0 → Ω → ℝ}
(hB : ∀ i, IsPreBrownianReal (B i) (ν i))
(hmB : ∀ i t, Measurable (B i t))
(D : Finset (TreeVertex d)) (v : D) (t : ℝ≥0) :
Integrable (finiteIsingBrownianEntropy beta D v B t) (μ.prod (Measure.infinitePi ν)) ∧
(∫ p, finiteIsingBrownianEntropy beta D v B t p ∂μ.prod (Measure.infinitePi ν)) ≤
2 * ((d : ℝ) * beta + (t : ℝ) + Real.sqrt (t : ℝ)) := by
have (i : TreeVertex d) : IsProbabilityMeasure (ν i) :=
(hB i).isGaussianProcess.isProbabilityMeasure
let ρ := μ.prod (Measure.infinitePi ν)
let X : ((TreeVertex d → IsingSpin) × (TreeVertex d → Ω)) → ℝ :=
fun p => B v t (p.2 v)
have hcoord := (measurePreserving_eval_infinitePi ν (v : TreeVertex d)).comp
(measurePreserving_snd (μ := μ) (ν := Measure.infinitePi ν))
have hX : HasLaw X (gaussianReal 0 t) ρ :=
(hB v).hasLaw_eval t |>.comp ⟨hcoord.measurable.aemeasurable, hcoord.map_eq⟩
have hXi : Integrable (fun p => |X p|) ρ := by
simpa only [pow_one] using integrable_abs_pow_of_gaussianLaw hX 1
have hY : Measurable (finiteIsingBrownianObservation B D (t : ℝ)) := by
apply Measurable.of_eval
intro w
exact (((measurable_of_finite spinSign).comp
((measurable_pi_apply (w : TreeVertex d)).comp measurable_fst)).const_mul (t : ℝ)).add
((hmB w (t : ℝ).toNNReal).comp ((measurable_pi_apply (w : TreeVertex d)).comp measurable_snd))
have hF : Measurable (finiteIsingBrownianEntropy beta D v B (t : ℝ)) :=
(FinitePosterior.continuous_fieldEntropy (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v))
(fun eta => by cases eta v <;> simp [spinSign])
⟨fun _ => .neg, rfl⟩ ⟨fun _ => .pos, rfl⟩).measurable.comp hY
have hdom : Integrable (fun p => 2 * ((d : ℝ) * beta + (t : ℝ) + |X p|)) ρ :=
((integrable_const _).add hXi).const_mul 2
have hFi : Integrable (finiteIsingBrownianEntropy beta D v B t) ρ := by
apply hdom.mono' hF.aestronglyMeasurable
exact Eventually.of_forall fun p => by
rw [Real.norm_of_nonneg (finiteIsingBrownianEntropy_nonneg beta D v B t p)]
exact finiteIsingBrownianEntropy_le_noise hbeta D v B t p
refine ⟨hFi, ?_⟩
calc
_ ≤ ∫ p, 2 * ((d : ℝ) * beta + (t : ℝ) + |X p|) ∂ρ :=
integral_mono hFi hdom (finiteIsingBrownianEntropy_le_noise hbeta D v B t)
_ = 2 * ((d : ℝ) * beta + (t : ℝ) + ∫ p, |X p| ∂ρ) := by
rw [integral_const_mul, integral_add (integrable_const _) hXi]
simp [ρ]
_ ≤ _ := mul_le_mul_of_nonneg_left
(add_le_add le_rfl (integral_abs_gaussian_le_sqrt hX)) (by norm_num)
theorem HasFreeIsingLaw.integral_finiteIsingBrownianNormalizedEnergy_le
{d : ℕ} {beta : ℝ} {Ω : Type*} [MeasurableSpace Ω]
{μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
(ν : TreeVertex d → Measure Ω)
{B : TreeVertex d → ℝ≥0 → Ω → ℝ}
(hB : ∀ i, IsPreBrownianReal (B i) (ν i))
(hmB : ∀ i t, Measurable (B i t))
(D : Finset (TreeVertex d)) (hD : ConnectedFinset D) (v : D)
{T : ℝ} (hT : 0 ≤ T) :
let ρ := μ.prod (Measure.infinitePi ν)
let E : ℝ → ℝ := fun t => ∫ p,
∑ u : D, finiteIsingBrownianNormalizedCovariance beta D v u B t p ^ 2 ∂ρ
IntervalIntegrable E volume 0 T ∧
(∫ t in 0..T, E t) ≤ (∫ p, finiteIsingBrownianEntropy beta D v B T p ∂ρ) ∧
0 ≤ (∫ t in 0..T, E t) ∧
(∫ t in 0..T, E t) ≤ 2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
classical
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
let π := μ.map D.restrict
let : IsProbabilityMeasure π :=
(Measure.isProbabilityMeasure_map_iff D.measurable_restrict.aemeasurable).mpr inferInstance
let spin : (D → IsingSpin) → D → ℝ := fun eta u => spinSign (eta u)
let q : (D → IsingSpin) → ℝ := fun eta => spinSign (eta v)
let F : (D → ℝ) → ℝ := FinitePosterior.fieldEntropy (finiteIsingEnergy beta D) spin q
let C : (D → ℝ) → D → ℝ :=
FinitePosterior.normalizedFieldCovariance (finiteIsingEnergy beta D) spin q
let ρ := μ.prod (Measure.infinitePi ν)
let ρG := π.prod (Measure.pi fun _ : D => gaussianReal 0 1)
let EG : ℝ → ℝ := fun t => ∫ p,
∑ u : D, C (FinitePosterior.finiteStandardObservation spin t p) u ^ 2 ∂ρG
let MG : ℝ → ℝ := fun t => ∫ p,
F (FinitePosterior.finiteStandardObservation spin t p) ∂ρG
let E : ℝ → ℝ := fun t => ∫ p,
∑ u : D, finiteIsingBrownianNormalizedCovariance beta D v u B t p ^ 2 ∂ρ
let M : ℝ → ℝ := fun t => ∫ p, finiteIsingBrownianEntropy beta D v B t p ∂ρ
have hcoords (eta : D → IsingSpin) (u : D) : spin eta u = -1 ∨ spin eta u = 1 := by
dsimp only [spin]
cases eta u <;> simp [spinSign]
have hneg : ∃ eta, q eta = -1 := ⟨fun _ => .neg, rfl⟩
have hpos : ∃ eta, q eta = 1 := ⟨fun _ => .pos, rfl⟩
have hfm : Measurable F :=
(FinitePosterior.continuous_fieldEntropy _ _ _ (fun eta => hcoords eta v) hneg hpos).measurable
have hcm : Measurable (fun y => ∑ u : D, C y u ^ 2) :=
(FinitePosterior.continuous_normalizedRowEnergy _ _ _ (fun eta => hcoords eta v) hneg hpos).measurable
have hE (t : ℝ) (ht : 0 ≤ t) : E t = EG t := by
have h := integral_finiteIsingBrownian_observation_eq_standard μ ν hB hmB D
t.toNNReal (fun y => ∑ u : D, C y u ^ 2) hcm
unfold E EG finiteIsingBrownianNormalizedCovariance finiteIsingBrownianObservation
simpa only [C, spin, q, ρ, ρG, π, Real.coe_toNNReal t ht] using h
have hM (t : ℝ) (ht : 0 ≤ t) : M t = MG t := by
have h := integral_finiteIsingBrownian_observation_eq_standard μ ν hB hmB D
t.toNNReal F hfm
unfold M MG finiteIsingBrownianEntropy finiteIsingBrownianObservation
simpa only [F, spin, q, ρ, ρG, π, Real.coe_toNNReal t ht] using h
have hstd := FinitePosterior.integral_finiteStandardNormalizedEnergy_le π
(finiteIsingEnergy beta D) (hμ.restrict_real_eq_normalized_exp D hD)
spin q (fun eta => hcoords eta v) hneg hpos hcoords hT
change IntervalIntegrable EG volume 0 T ∧
(∫ t in 0..T, EG t) ≤ MG T - F 0 ∧ 0 ≤ (∫ t in 0..T, EG t) at hstd
have hzero : F 0 = 0 := finiteIsingEntropy_zero beta D v
have hEq : EqOn EG E (uIcc 0 T) := by
intro t ht
exact (hE t (by simpa only [min_eq_left hT] using ht.1)).symm
have hInt : (∫ t in 0..T, EG t) = ∫ t in 0..T, E t :=
intervalIntegral.integral_congr hEq
have hle : (∫ t in 0..T, E t) ≤ M T := by
simpa only [hzero, sub_zero, hInt, ← hM T hT] using hstd.2.1
have hterminal : M T ≤ 2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
have h := (finiteIsingBrownianEntropy_moment hbeta μ ν hB hmB D v T.toNNReal).2
simpa only [M, ρ, Real.coe_toNNReal T hT] using h
change IntervalIntegrable E volume 0 T ∧ (∫ t in 0..T, E t) ≤ M T ∧
0 ≤ (∫ t in 0..T, E t) ∧ (∫ t in 0..T, E t) ≤ _
exact ⟨hstd.1.congr (fun t ht => hEq (uIoc_subset_uIcc ht)), hle,
by simpa only [hInt] using hstd.2.2, hle.trans hterminal⟩
theorem HasFreeIsingLaw.lintegral_finiteIsingBrownianNormalizedEnergy_le
{d : ℕ} {beta : ℝ} {Ω : Type*} [MeasurableSpace Ω]
{μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hbeta : 0 ≤ beta)
(ν : TreeVertex d → Measure Ω)
{B : TreeVertex d → ℝ≥0 → Ω → ℝ}
(hB : ∀ i, IsPreBrownianReal (B i) (ν i))
(hmB : ∀ i t, Measurable (B i t))
(D : Finset (TreeVertex d)) (hD : ConnectedFinset D) (v : D)
{T : ℝ} (hT : 0 ≤ T) :
(∫⁻ t in Ioc 0 T, ∫⁻ p,
ENNReal.ofReal (∑ u : D, finiteIsingBrownianNormalizedCovariance beta D v u B t p ^ 2)
∂μ.prod (Measure.infinitePi ν)) ≤
ENNReal.ofReal (2 * ((d : ℝ) * beta + T + Real.sqrt T)) := by
classical
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
have (i : TreeVertex d) : IsProbabilityMeasure (ν i) :=
(hB i).isGaussianProcess.isProbabilityMeasure
let ρ := μ.prod (Measure.infinitePi ν)
let R := fun t p => ∑ u : D, finiteIsingBrownianNormalizedCovariance beta D v u B t p ^ 2
let E : ℝ → ℝ := fun t => ∫ p, R t p ∂ρ
have hRpos (t : ℝ) (p) : 0 ≤ R t p := Finset.sum_nonneg fun u _ => sq_nonneg _
have hRI (t : ℝ) : Integrable (R t) ρ := by
have hY : Measurable (finiteIsingBrownianObservation B D t) := by
apply Measurable.of_eval
intro w
exact (((measurable_of_finite spinSign).comp
((measurable_pi_apply (w : TreeVertex d)).comp measurable_fst)).const_mul t).add
((hmB w t.toNNReal).comp ((measurable_pi_apply (w : TreeVertex d)).comp measurable_snd))
have hs (eta : D → IsingSpin) : spinSign (eta v) = -1 ∨ spinSign (eta v) = 1 := by
cases eta v <;> simp [spinSign]
have hn : ∃ eta : D → IsingSpin, spinSign (eta v) = -1 := ⟨fun _ => .neg, rfl⟩
have hp : ∃ eta : D → IsingSpin, spinSign (eta v) = 1 := ⟨fun _ => .pos, rfl⟩
apply Integrable.of_bound
((FinitePosterior.continuous_normalizedRowEnergy (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v))
hs hn hp).measurable.comp hY).aestronglyMeasurable (Fintype.card D)
exact Eventually.of_forall fun p => by
simpa only [Real.norm_eq_abs, Function.comp_def] using
FinitePosterior.abs_normalizedRowEnergy_le_card (finiteIsingEnergy beta D)
(fun (eta : D → IsingSpin) w => spinSign (eta w)) (fun eta => spinSign (eta v))
(finiteIsingBrownianObservation B D t p) hs hn hp
(fun eta w => by cases eta w <;> norm_num [spinSign])
have hinner (t : ℝ) : (∫⁻ p, ENNReal.ofReal (R t p) ∂ρ) = ENNReal.ofReal (E t) :=
(ofReal_integral_eq_lintegral_ofReal (hRI t) (Eventually.of_forall (hRpos t))).symm
have hbound := hμ.integral_finiteIsingBrownianNormalizedEnergy_le hbeta ν hB hmB D hD v hT
have hEI : Integrable E (volume.restrict (Ioc 0 T)) :=
(intervalIntegrable_iff_integrableOn_Ioc_of_le hT).mp hbound.1
change (∫⁻ t in Ioc 0 T, ∫⁻ p, ENNReal.ofReal (R t p) ∂ρ) ≤ _
simp_rw [hinner]
rw [← ofReal_integral_eq_lintegral_ofReal hEI
(Eventually.of_forall fun t => integral_nonneg (hRpos t))]
rw [← intervalIntegral.integral_of_le hT]
exact ENNReal.ofReal_le_ofReal hbound.2.2.2
end Problem367
end
end OAI