openAI-math-dataset / lean /OAI /Probability /FreeIsing /Ising /ContinuousCopyCoefficients.lean
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import OAI.Probability.FreeIsing.Ising.ContinuousRootResponse
import OAI.Probability.FreeIsing.Ising.CopyBrownian
import OAI.Probability.FreeIsing.Ising.CopyEnergyIntegrability
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped NNReal Topology
namespace Problem367.IsingContinuousCopyCoefficients
open IsingObservationInnovation IsingObservationFactor IsingCopyEnergy
variable {d : ℕ} {beta : ℝ}
def response (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d)
(t : ℝ≥0) (q : Joint d) : ℝ :=
continuousRootResponse hb v t (projection j q)
def covariance (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d)
(t : ℝ≥0) (q : Joint d) : ℝ :=
continuousRootCovariance hb v t (projection j q)
lemma projection_measurable (j : Bool) : Measurable (projection (d := d) j) := by
cases j
· exact measurable_snd.comp measurable_snd
· exact measurable_fst.comp measurable_snd
lemma projection_preserving {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ] (j : Bool) :
MeasurePreserving (projection (d := d) j) (copies beta μ) (observationLaw μ) := by
obtain ⟨hl, hr⟩ := IsingCopyStationarity.measurePreserving_observations
(beta := beta) (μ := μ)
cases j
· exact hr
· exact hl
lemma field_progressive (j : Bool) (v : TreeVertex d) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(fun t (q : Joint d) => continuousField beta v t (projection j q)) := by
have hobs (i : TreeVertex d) : IsStronglyProgressive
ContinuousCopyBrownian.joinedFiltration
(fun t (q : Joint d) => projection j q i t) := by
cases j
· exact IsingConditionalCopyBounds.progressive_rightObservation i
· exact IsingConditionalCopyBounds.progressive_leftObservation i
have hraw := isStronglyProgressive_artanh _
(isStronglyProgressive_infiniteGibbsSpinMean _ beta v _ hobs)
exact ProgressiveVersionPushforward.progressive_version hraw
lemma response_progressive (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration (response hb j v) := by
intro T
let : MeasurableSpace (Joint d) := ContinuousCopyBrownian.joinedFiltration T
exact ((continuous_siteRootResponse hb v).measurable.comp
(Measurable.of_eval (fun vertex => (field_progressive j vertex T).measurable))).stronglyMeasurable
private lemma continuous_tanh : Continuous Real.tanh :=
continuous_iff_continuousAt.mpr (fun x => (hasDerivAt_tanh_response x).continuousAt)
lemma covariance_progressive (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d) :
IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration (covariance hb j v) := by
intro T
exact (stronglyMeasurable_const.sub
((continuous_tanh.comp_stronglyMeasurable
(field_progressive j (ConnectedHull.root d) T)).pow 2)).mul
(response_progressive hb j v T)
lemma response_abs_le_one (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d)
(t : ℝ≥0) (q : Joint d) : |response hb j v t q| ≤ 1 :=
continuousRootResponse_abs_le_one hb v t (projection j q)
lemma covariance_abs_le_one (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d)
(t : ℝ≥0) (q : Joint d) : |covariance hb j v t q| ≤ 1 :=
continuousRootCovariance_abs_le_one hb v t (projection j q)
lemma covariance_sq_le_response_sq (hb : 0 ≤ beta) (j : Bool) (v : TreeVertex d)
(t : ℝ≥0) (q : Joint d) : covariance hb j v t q ^ 2 ≤ response hb j v t q ^ 2 := by
have hz := Real.tanh_sq_lt_one (continuousField beta (ConnectedHull.root d) t (projection j q))
have hn := sq_nonneg (Real.tanh (continuousField beta (ConnectedHull.root d) t (projection j q)))
change ((1 - Real.tanh (continuousField beta (ConnectedHull.root d) t (projection j q)) ^ 2) *
response hb j v t q) ^ 2 ≤ _
rw [mul_pow]
exact mul_le_of_le_one_left (sq_nonneg _) (by nlinarith)
variable {μ : Measure (TreeVertex d → IsingSpin)} [IsProbabilityMeasure μ]
lemma response_continuous_ae (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (v : TreeVertex d) :
∀ᵐ q ∂copies beta μ, Continuous (fun t => response hb j v t q) :=
(projection_preserving (beta := beta) (μ := μ) j).quasiMeasurePreserving.ae
(continuousRootResponse_continuous_ae hd hμ hb hcrit v)
lemma covariance_continuous_ae (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (v : TreeVertex d) :
∀ᵐ q ∂copies beta μ, Continuous (fun t => covariance hb j v t q) :=
(projection_preserving (beta := beta) (μ := μ) j).quasiMeasurePreserving.ae
(continuousRootCovariance_continuous_ae hd hμ hb hcrit v)
lemma response_eq_raw_ae (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (v : TreeVertex d) (t : ℝ≥0) :
response hb j v t =ᵐ[copies beta μ] fun q =>
infiniteGibbsResponse beta (ConnectedHull.root d) v (fun i => projection j q i t) :=
(projection_preserving (beta := beta) (μ := μ) j).quasiMeasurePreserving.ae
(continuousRootResponse_eq_response_ae hd hμ hb hcrit v t)
lemma covariance_eq_raw_ae (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (v : TreeVertex d) (t : ℝ≥0) :
covariance hb j v t =ᵐ[copies beta μ] fun q =>
infiniteGibbsCovariance beta (ConnectedHull.root d) v (fun i => projection j q i t) :=
(projection_preserving (beta := beta) (μ := μ) j).quasiMeasurePreserving.ae
(continuousRootCovariance_eq_covariance_ae hd hμ hb hcrit v t)
private lemma real_measurable {X : ℝ≥0 → Joint d → ℝ}
(hX : IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration X) :
Measurable (fun p : ℝ × Joint d => X p.1.toNNReal p.2) :=
(stronglyMeasurable_joint_of_isStronglyProgressive hX).measurable.comp
((measurable_real_toNNReal.comp measurable_fst).prodMk measurable_snd)
private lemma sq_time_integrable {X : ℝ≥0 → Joint d → ℝ}
(hX : IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration X)
(hb : ∀ t q, |X t q| ≤ 1) (T : ℝ≥0) :
Integrable (fun p : ℝ × Joint d => X p.1.toNNReal p.2 ^ 2)
((volume.restrict (Ioc (0 : ℝ) (T : ℝ))).prod (copies beta μ)) := by
have hp : IsStronglyProgressive ContinuousCopyBrownian.joinedFiltration
(fun t q => X t q ^ 2) := fun t => (hX t).pow 2
have h := integrable_nnreal_process_interval_of_progressive_bounded
(P := copies beta μ) hp 1
(fun t => Eventually.of_forall fun q => by
rw [abs_of_nonneg (sq_nonneg _)]
nlinarith [hb t q, neg_abs_le (X t q), le_abs_self (X t q)]) 0 T
simpa only [NNReal.coe_zero] using h
theorem response_row_energy (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (T : ℝ≥0) :
(∀ᵐ p ∂((volume.restrict (Ioc (0 : ℝ) (T : ℝ))).prod (copies beta μ)),
Summable (fun v => response hb j v p.1.toNNReal p.2 ^ 2)) ∧
Integrable (fun p : ℝ × Joint d => ∑' v, response hb j v p.1.toNNReal p.2 ^ 2)
((volume.restrict (Ioc (0 : ℝ) (T : ℝ))).prod (copies beta μ)) := by
have he (v : TreeVertex d) :
(fun p : ℝ × Joint d => response hb j v p.1.toNNReal p.2) =ᵐ[
(volume.restrict (Ioc (0 : ℝ) (T : ℝ))).prod (copies beta μ)]
fun p => responseRow beta (ConnectedHull.root d) v (timeProjection j p) := by
apply (Measure.ae_prod_iff_ae_ae (measurableSet_eq_fun
(real_measurable (response_progressive hb j v))
((measurable_responseRow beta (ConnectedHull.root d) v).comp
(measurable_fst.prodMk ((projection_measurable j).comp measurable_snd))))).2
exact Eventually.of_forall fun t => response_eq_raw_ae hd hμ hb hcrit j v t.toNNReal
have hall := ae_all_iff.mpr he
have hraw := copy_row_energy_integrable hμ hb (ConnectedHull.root d) j T.coe_nonneg
constructor
· filter_upwards [hall, hraw.1] with p hp hs
simpa only [hp] using hs
· apply hraw.2.1.congr
filter_upwards [hall] with p hp
exact tsum_congr (fun v => congrArg (fun x : ℝ => x ^ 2) (hp v).symm)
theorem response_energy_summable (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (T : ℝ≥0) :
Summable (fun v => ∫ s in (0 : ℝ)..(T : ℝ), ∫ q,
response hb j v s.toNNReal q ^ 2 ∂copies beta μ) := by
obtain ⟨hs, hi⟩ := response_row_energy hd hμ hb hcrit j T
have h := (DiscrepancyEnergy.hasSum_integral_sq_row
(fun v => (real_measurable (response_progressive hb j v)).aestronglyMeasurable) hs hi).summable
have he (v : TreeVertex d) :
(∫ p : ℝ × Joint d, response hb j v p.1.toNNReal p.2 ^ 2
∂(volume.restrict (Ioc (0 : ℝ) (T : ℝ))).prod (copies beta μ)) =
∫ s in (0 : ℝ)..(T : ℝ), ∫ q, response hb j v s.toNNReal q ^ 2 ∂copies beta μ := by
rw [integral_prod _ (sq_time_integrable (response_progressive hb j v)
(response_abs_le_one hb j v) T), intervalIntegral.integral_of_le T.coe_nonneg]
simpa only [he] using h
theorem covariance_energy_summable (hd : 3 ≤ d)
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(hcrit : ((d - 1 : ℕ) : ℝ) * Real.tanh beta ^ 2 ≤ 1)
(j : Bool) (T : ℝ≥0) :
Summable (fun v => ∫ s in (0 : ℝ)..(T : ℝ), ∫ q,
covariance hb j v s.toNNReal q ^ 2 ∂copies beta μ) := by
apply Summable.of_nonneg_of_le
(fun v => intervalIntegral.integral_nonneg T.coe_nonneg
(fun s _ => integral_nonneg (fun q => sq_nonneg _)))
_ (response_energy_summable hd hμ hb hcrit j T)
intro v
have hC := sq_time_integrable (covariance_progressive hb j v)
(covariance_abs_le_one hb j v) T (beta := beta) (μ := μ)
have hR := sq_time_integrable (response_progressive hb j v)
(response_abs_le_one hb j v) T (beta := beta) (μ := μ)
rw [intervalIntegral.integral_of_le T.coe_nonneg, intervalIntegral.integral_of_le T.coe_nonneg,
← integral_prod _ hC, ← integral_prod _ hR]
exact integral_mono hC hR (fun p => covariance_sq_le_response_sq hb j v p.1.toNNReal p.2)
end Problem367.IsingContinuousCopyCoefficients
end
end OAI