openAI-math-dataset / lean /OAI /Probability /FreeIsing /Ising /ContinuousResponseEnergy.lean
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import OAI.Probability.FreeIsing.Energy.TimeRowEnergyHasSum
import OAI.Probability.FreeIsing.Ising.ContinuousRootResponse
import OAI.Probability.FreeIsing.Ising.CopyEnergyIntegrability
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped NNReal Topology
namespace Problem367.IsingObservationFactor
open IsingObservationInnovation
variable {d : ℕ} {beta : ℝ}
private theorem measurable_real_of_progressive
{Ω : Type*} [mΩ : MeasurableSpace Ω] {F : Filtration ℝ≥0 mΩ}
{M : ℝ≥0 → Ω → ℝ} (hM : IsStronglyProgressive F M) :
Measurable (fun p : ℝ × Ω => M p.1.toNNReal p.2) := by
have hj : Measurable (fun p : ℝ≥0 × Ω => M p.1 p.2) :=
(stronglyMeasurable_joint_of_isStronglyProgressive hM).measurable
have ht : Measurable (fun p : ℝ × Ω => (p.1.toNNReal, p.2)) :=
(measurable_real_toNNReal.comp measurable_fst).prodMk measurable_snd
exact hj.comp ht
private theorem measurable_response_real (hb : 0 ≤ beta) (v : TreeVertex d) :
Measurable (fun p : ℝ × Paths d => continuousRootResponse hb v p.1.toNNReal p.2) :=
measurable_real_of_progressive (continuousRootResponse_progressive hb v)
private theorem measurable_covariance_real (hb : 0 ≤ beta) (v : TreeVertex d) :
Measurable (fun p : ℝ × Paths d => continuousRootCovariance hb v p.1.toNNReal p.2) :=
measurable_real_of_progressive (continuousRootCovariance_progressive hb v)
theorem continuousRootResponse_row_eq_ae
(hd : 3 ≤ d) {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (T : ℝ) :
∀ᵐ p ∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ),
∀ v, continuousRootResponse hb v p.1.toNNReal p.2 =
IsingCopyEnergy.responseRow beta (ConnectedHull.root d) v p := by
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
apply ae_all_iff.mpr
intro v
apply (Measure.ae_prod_iff_ae_ae (measurableSet_eq_fun
(measurable_response_real hb v)
(IsingCopyEnergy.measurable_responseRow beta (ConnectedHull.root d) v))).mpr
exact Eventually.of_forall fun t =>
continuousRootResponse_eq_response_ae hd hμ hb hcrit v t.toNNReal
theorem continuousRootResponse_row_energy
(hd : 3 ≤ d) {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
{T : ℝ} (hT : 0 ≤ T) :
(∀ᵐ p ∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ),
Summable (fun v => continuousRootResponse hb v p.1.toNNReal p.2 ^ 2)) ∧
Integrable (fun p : ℝ × Paths d => ∑' v,
continuousRootResponse hb v p.1.toNNReal p.2 ^ 2)
((volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) ∧
(∫ p : ℝ × Paths d, ∑' v, continuousRootResponse hb v p.1.toNNReal p.2 ^ 2
∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) ≤
2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
have hraw := IsingCopyEnergy.observation_row_energy_integrable hμ hb
(ConnectedHull.root d) hT
have he := continuousRootResponse_row_eq_ae hd hμ hb hcrit T
have hsum : (fun p : ℝ × Paths d => ∑' v,
continuousRootResponse hb v p.1.toNNReal p.2 ^ 2) =ᵐ[
(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)]
(fun p => ∑' v, IsingCopyEnergy.responseRow beta (ConnectedHull.root d) v p ^ 2) := by
filter_upwards [he] with p hp
exact tsum_congr (fun v => congrArg (fun r : ℝ => r ^ 2) (hp v))
refine ⟨?_, hraw.2.1.congr hsum.symm, (integral_congr_ae hsum).trans_le hraw.2.2⟩
filter_upwards [he, hraw.1] with p hp hs
simpa only [hp] using hs
theorem continuousRootResponse_hasSum_timeEnergy
(hd : 3 ≤ d) {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (T : ℝ≥0) :
HasSum (fun v => ∫ t in (0 : ℝ)..(T : ℝ),
∫ x, continuousRootResponse hb v t.toNNReal x ^ 2 ∂observationLaw μ)
(∫ p : ℝ × Paths d, ∑' v, continuousRootResponse hb v p.1.toNNReal p.2 ^ 2
∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) := by
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
have h := continuousRootResponse_row_energy hd hμ hb hcrit T.coe_nonneg
exact DiscrepancyEnergy.hasSum_intervalIntegral_sq_row T
(fun v => (measurable_response_real hb v).aestronglyMeasurable) h.1 h.2.1
theorem continuousRootCovariance_sq_le_response_sq
(hb : 0 ≤ beta) (v : TreeVertex d) (t : ℝ≥0) (x : Paths d) :
continuousRootCovariance hb v t x ^ 2 ≤ continuousRootResponse hb v t x ^ 2 := by
have h0 : 0 ≤ 1 - Real.tanh (continuousField beta (ConnectedHull.root d) t x) ^ 2 :=
(sub_pos.mpr (Real.tanh_sq_lt_one _)).le
have h1 : 1 - Real.tanh (continuousField beta (ConnectedHull.root d) t x) ^ 2 ≤ 1 :=
sub_le_self _ (sq_nonneg _)
have hs : (1 - Real.tanh (continuousField beta (ConnectedHull.root d) t x) ^ 2) ^ 2 ≤ 1 := by
nlinarith
rw [continuousRootCovariance, mul_pow]
exact (mul_le_mul_of_nonneg_right hs (sq_nonneg _)).trans_eq (one_mul _)
theorem continuousRootCovariance_row_energy
(hd : 3 ≤ d) {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
{T : ℝ} (hT : 0 ≤ T) :
(∀ᵐ p ∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ),
Summable (fun v => continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2)) ∧
Integrable (fun p : ℝ × Paths d => ∑' v,
continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2)
((volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) ∧
(∫ p : ℝ × Paths d, ∑' v, continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2
∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) ≤
2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
have hR := continuousRootResponse_row_energy hd hμ hb hcrit hT
have hs : ∀ᵐ p ∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ),
Summable (fun v => continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2) := by
filter_upwards [hR.1] with p hp
exact Summable.of_nonneg_of_le (fun v => sq_nonneg _)
(fun v => continuousRootCovariance_sq_le_response_sq hb v _ _) hp
have hle : ∀ᵐ p ∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ),
(∑' v, continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2) ≤
∑' v, continuousRootResponse hb v p.1.toNNReal p.2 ^ 2 := by
filter_upwards [hs, hR.1] with p hcp hrp
exact hcp.tsum_le_tsum
(fun v => continuousRootCovariance_sq_le_response_sq hb v _ _) hrp
have hi : Integrable (fun p : ℝ × Paths d => ∑' v,
continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2)
((volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) := by
apply hR.2.1.mono'
(Measurable.tsum (fun v => (measurable_covariance_real hb v).pow_const 2)).aestronglyMeasurable
filter_upwards [hle] with p hp
rw [Real.norm_eq_abs, abs_of_nonneg (tsum_nonneg
(fun v => sq_nonneg (continuousRootCovariance hb v p.1.toNNReal p.2)))]
exact hp
exact ⟨hs, hi, (integral_mono_ae hi hR.2.1 hle).trans hR.2.2⟩
theorem continuousRootCovariance_hasSum_timeEnergy
(hd : 3 ≤ d) {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (T : ℝ≥0) :
HasSum (fun v => ∫ t in (0 : ℝ)..(T : ℝ),
∫ x, continuousRootCovariance hb v t.toNNReal x ^ 2 ∂observationLaw μ)
(∫ p : ℝ × Paths d, ∑' v, continuousRootCovariance hb v p.1.toNNReal p.2 ^ 2
∂(volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) := by
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
have h := continuousRootCovariance_row_energy hd hμ hb hcrit T.coe_nonneg
exact DiscrepancyEnergy.hasSum_intervalIntegral_sq_row T
(fun v => (measurable_covariance_real hb v).aestronglyMeasurable) h.1 h.2.1
end Problem367.IsingObservationFactor
end
end OAI