openAI-math-dataset / lean /OAI /Probability /FreeIsing /Ising /CanonicalPosteriorStops.lean
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import OAI.Probability.FreeIsing.Estimates.LocalizedArtanhFormula
import OAI.Probability.FreeIsing.Ising.CanonicalContinuousFields
import OAI.Probability.FreeIsing.Ising.CopyEnergyIntegrability
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped NNReal Topology
namespace Problem367.IsingObservationFactor
open IsingObservationInnovation IsingCopyEnergy PosteriorCompensatorStopping
private lemma continuous_real_tanh : Continuous Real.tanh :=
lipschitzWith_tanh_response.continuous
def continuousPosterior {d : ℕ} (beta : ℝ) (v : TreeVertex d)
(t : ℝ≥0) (x : Paths d) : ℝ := Real.tanh (continuousField beta v t x)
lemma continuousPosterior_progressive {d : ℕ} (beta : ℝ) (v : TreeVertex d) :
IsStronglyProgressive (filtration d) (continuousPosterior beta v) := by
intro T
exact continuous_real_tanh.comp_stronglyMeasurable (continuousField_progressive beta v T)
lemma continuousPosterior_interior {d : ℕ} (beta : ℝ) (v : TreeVertex d)
(t : ℝ≥0) (x : Paths d) : continuousPosterior beta v t x ∈ Ioo (-1 : ℝ) 1 :=
⟨Real.neg_one_lt_tanh _, Real.tanh_lt_one _⟩
lemma artanh_continuousPosterior {d : ℕ} (beta : ℝ) (v : TreeVertex d)
(t : ℝ≥0) (x : Paths d) :
Real.artanh (continuousPosterior beta v t x) = continuousField beta v t x :=
Real.artanh_tanh _
theorem continuousPosterior_modification
{d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (v : TreeVertex d) :
(∀ᵐ x ∂observationLaw μ, Continuous (fun t => continuousPosterior beta v t x)) ∧
(∀ t, continuousPosterior beta v t =ᵐ[observationLaw μ] posterior beta v t) := by
obtain ⟨hc, he⟩ := continuousField_modification hd hμ hb hcrit v
refine ⟨hc.mono (fun x hx => continuous_real_tanh.comp hx), fun t => ?_⟩
filter_upwards [he t, tanh_field_eq_posterior_ae hμ hb v t] with x hx ht
exact (congrArg Real.tanh hx).trans ht
lemma copyProjection_measurePreserving
{d : ℕ} (beta : ℝ) (μ : Measure (TreeVertex d → IsingSpin))
[IsProbabilityMeasure μ] (j : Bool) :
MeasurePreserving (projection (d := d) j) (copies beta μ) (observationLaw μ) := by
have : IsProbabilityMeasure ((observationLaw μ).map (innovationMap beta)) := inferInstance
obtain ⟨hl, hr⟩ := IsingConditionalCopyBounds.measurePreserving_observation_copies
(beta := beta) (μ := μ) (rho := (observationLaw μ).map (innovationMap beta))
(eta := kernel beta μ) kernel_graphLaw
cases j
· exact hr
· exact hl
def copyContinuousField {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool)
(t : ℝ≥0) (q : Joint d) : ℝ := continuousField beta v t (projection j q)
def copyContinuousPosterior {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool)
(t : ℝ≥0) (q : Joint d) : ℝ := continuousPosterior beta v t (projection j q)
lemma copyContinuousField_progressive {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(copyContinuousField beta v j) := by
cases j
· exact ProgressiveVersionPushforward.progressive_version
(isStronglyProgressive_artanh _ (isStronglyProgressive_infiniteGibbsSpinMean _ beta v _
IsingConditionalCopyBounds.progressive_rightObservation))
· exact ProgressiveVersionPushforward.progressive_version
(isStronglyProgressive_artanh _ (isStronglyProgressive_infiniteGibbsSpinMean _ beta v _
IsingConditionalCopyBounds.progressive_leftObservation))
lemma copyContinuousPosterior_progressive {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(copyContinuousPosterior beta v j) := by
intro T
exact continuous_real_tanh.comp_stronglyMeasurable (copyContinuousField_progressive beta v j T)
theorem copyContinuousPosterior_modification
{d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (v : TreeVertex d) (j : Bool) :
(∀ᵐ q ∂copies beta μ, Continuous (fun t => copyContinuousPosterior beta v j t q)) ∧
(∀ t, copyContinuousPosterior beta v j t =ᵐ[copies beta μ]
(fun q => posterior beta v t (projection j q))) := by
obtain ⟨hc, he⟩ := continuousPosterior_modification hd hμ hb hcrit v
have hp := (copyProjection_measurePreserving beta μ j).quasiMeasurePreserving
exact ⟨hp.ae hc, fun t => hp.ae (he t)⟩
theorem copyContinuousPosterior_compact
{d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (v : TreeVertex d) (j : Bool) :
∀ᵐ q ∂copies beta μ, ∀ T : ℝ≥0,
∃ r < (1 : ℝ), ∀ t ≤ T, |copyContinuousPosterior beta v j t q| ≤ r := by
filter_upwards [(copyContinuousPosterior_modification hd hμ hb hcrit v j).1] with q hc
intro T
obtain ⟨r, hr0, hr1, hr⟩ := PosteriorInteriorLocalization.exists_uniform_radius_of_compact
(s := Icc (0 : ℝ≥0) T) isCompact_Icc hc.continuousOn
(fun t _ => continuousPosterior_interior beta v t (projection j q))
exact ⟨r, hr1, fun t ht => hr t ⟨zero_le, ht⟩⟩
def copyResponseEnergy {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool)
(t : ℝ≥0) (q : Joint d) : ℝ :=
infiniteGibbsResponseRow beta v (fun i => projection j q i t)
lemma copyResponseEnergy_progressive {d : ℕ} (beta : ℝ) (v : TreeVertex d) (j : Bool) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(copyResponseEnergy beta v j) := by
cases j
· exact isStronglyProgressive_infiniteGibbsResponseRow _ beta v _
IsingConditionalCopyBounds.progressive_rightObservation
· exact isStronglyProgressive_infiniteGibbsResponseRow _ beta v _
IsingConditionalCopyBounds.progressive_leftObservation
theorem copyResponseEnergy_integrable
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(v : TreeVertex d) (j : Bool) (T : ℝ≥0) :
Integrable (fun p : ℝ × Joint d => copyResponseEnergy beta v j p.1.toNNReal p.2)
((volume.restrict (Ioc (0 : ℝ) T)).prod (copies beta μ)) :=
(copy_row_energy_integrable hμ hb v j T.coe_nonneg).2.1
def commonResponseCompensator {d : ℕ} (beta : ℝ) (v : TreeVertex d) :
ℝ≥0 → Joint d → ℝ :=
nnrealTimePrimitive (fun t q =>
copyResponseEnergy beta v true t q + copyResponseEnergy beta v false t q)
lemma commonResponseCompensator_progressive {d : ℕ} (beta : ℝ) (v : TreeVertex d) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(commonResponseCompensator beta v) :=
isStronglyProgressive_nnrealTimePrimitive
((copyResponseEnergy_progressive beta v true).add (copyResponseEnergy_progressive beta v false))
theorem commonResponseCompensator_continuous
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (v : TreeVertex d) :
∀ᵐ q ∂copies beta μ, Continuous (fun t => commonResponseCompensator beta v t q) := by
apply ae_continuous_nnrealTimePrimitive_of_joint
intro n
have hi := (copyResponseEnergy_integrable hμ hb v true (n : ℝ≥0)).add
(copyResponseEnergy_integrable hμ hb v false (n : ℝ≥0))
convert hi using 1; rfl
def commonPosteriorExit {d : ℕ} (beta : ℝ) (v : TreeVertex d)
(n : ℕ) (q : Joint d) : WithTop ℝ≥0 :=
min (jointExit (copyContinuousPosterior beta v true) (commonResponseCompensator beta v) n q)
(jointExit (copyContinuousPosterior beta v false) (commonResponseCompensator beta v) n q)
theorem isLocalizingSequence_commonPosteriorExit
{d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (v : TreeVertex d) :
IsLocalizingSequence ContinuousCopyBrownian.joinedFiltration.rightCont
(commonPosteriorExit beta v) (copies beta μ) := by
have h (j : Bool) := isLocalizingSequence_jointExit_rightCont
(copyContinuousPosterior_progressive beta v j).stronglyAdapted.adapted
(commonResponseCompensator_progressive beta v).stronglyAdapted.adapted
(copyContinuousPosterior_compact hd hμ hb hcrit v j)
(commonResponseCompensator_continuous hμ hb v)
exact (h true).min (h false)
theorem ae_eventually_le_commonPosteriorExit
{d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1) (v : TreeVertex d)
(T : ℝ≥0) :
∀ᵐ q ∂copies beta μ, ∀ᶠ n in atTop,
(T : WithTop ℝ≥0) ≤ commonPosteriorExit beta v n q := by
filter_upwards [copyContinuousPosterior_compact hd hμ hb hcrit v true,
copyContinuousPosterior_compact hd hμ hb hcrit v false,
commonResponseCompensator_continuous hμ hb v] with q hl hr hA
filter_upwards [eventually_le_jointExit (hl T) hA,
eventually_le_jointExit (hr T) hA] with n hn hn'
exact le_min hn hn'
end Problem367.IsingObservationFactor
end
end OAI