openAI-math-dataset / lean /OAI /Probability /FreeIsing /Ising /CopyEnergyIntegrability.lean
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import OAI.Probability.FreeIsing.Energy.DiscrepancyRowEnergy
import OAI.Probability.FreeIsing.Energy.NormalizedInfiniteTimeEnergy
import OAI.Probability.FreeIsing.Ising.ObservationComparison
import OAI.Probability.FreeIsing.Ising.ObservationPosteriorTransport
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Set
open scoped NNReal ENNReal Topology
namespace Problem367.IsingCopyEnergy
open IsingObservationInnovation IsingObservationFactor
def responseRow {d : ℕ} (beta : ℝ) (v w : TreeVertex d) (p : ℝ × Paths d) : ℝ :=
infiniteGibbsResponse beta v w (fun i => p.2 i p.1.toNNReal)
theorem measurable_responseRow {d : ℕ} (beta : ℝ) (v w : TreeVertex d) :
Measurable (responseRow beta v w) := by
apply (measurable_infiniteGibbsResponse beta v w).comp
apply Measurable.of_eval
intro i
exact continuous_eval.measurable.comp
(((measurable_pi_apply i).comp measurable_snd).prodMk
(measurable_real_toNNReal.comp measurable_fst))
theorem observation_extended_energy_le
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(v : TreeVertex d) {T : ℝ} (hT : 0 ≤ T) :
(∫⁻ p, ∑' w, ENNReal.ofReal (responseRow beta v w p ^ 2)
∂(volume.restrict (Ioc 0 T)).prod (observationLaw μ)) ≤
ENNReal.ofReal (2 * ((d : ℝ) * beta + T + Real.sqrt T)) := by
let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure
let : IsProbabilityMeasure (labelMeasure d) := by unfold labelMeasure; infer_instance
let Q := (volume.restrict (Ioc (0 : ℝ) T)).prod (μ.prod (labelMeasure d))
let R := (volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)
let f : ℝ × Paths d → ℝ≥0∞ := fun p => ∑' w, ENNReal.ofReal (responseRow beta v w p ^ 2)
have hf : Measurable f := Measurable.tsum (fun w =>
((measurable_responseRow beta v w).pow_const 2).ennreal_ofReal)
have hmp : MeasurePreserving (Prod.map id uniformObservation) Q R :=
(MeasurePreserving.id _).prod (measurePreserving_uniformObservation μ)
have henergy := NormalizedInfiniteTimeEnergy.lintegral_infiniteRow_le hμ hb
(fun _ : TreeVertex d => uniform01)
(fun _ => WienerSampler.sample_isBrownianReal.toIsPreBrownianReal)
(fun _ t => (continuous_eval_const t).measurable.comp WienerSampler.measurable_sample)
(fun _ => WienerSampler.measurable_sample_eval) v hT
have heq : (fun p => f (Prod.map id uniformObservation p)) =ᵐ[Q]
(fun p => ∑' w, ENNReal.ofReal
(NormalizedInfiniteTimeEnergy.infiniteRow beta v
(fun _ t u => WienerSampler.sample u t) w p ^ 2)) := by
have hmem : ∀ᵐ p ∂Q, p.1 ∈ Ioc (0 : ℝ) T :=
Measure.quasiMeasurePreserving_fst.ae (ae_restrict_mem measurableSet_Ioc)
filter_upwards [hmem] with p hp
apply tsum_congr
intro w
apply congrArg ENNReal.ofReal
apply congrArg (fun r : ℝ => r ^ 2)
change infiniteGibbsResponse beta v w (fun i => uniformObservation p.2 i p.1.toNNReal) = _
apply congrArg (infiniteGibbsResponse beta v w)
funext i
change WienerSampler.sample (p.2.2 i) p.1.toNNReal +
(p.1.toNNReal : ℝ) * spinSign (p.2.1 i) =
p.1 * spinSign (p.2.1 i) + WienerSampler.sample (p.2.2 i) p.1.toNNReal
rw [Real.coe_toNNReal p.1 hp.1.le, add_comm]
calc
_ = ∫⁻ p, f (Prod.map id uniformObservation p) ∂Q := (hmp.lintegral_comp hf).symm
_ = _ := lintegral_congr_ae heq
_ ≤ _ := henergy
theorem observation_row_energy_integrable
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(v : TreeVertex d) {T : ℝ} (hT : 0 ≤ T) :
(∀ᵐ p ∂(volume.restrict (Ioc 0 T)).prod (observationLaw μ),
Summable (fun w => responseRow beta v w p ^ 2)) ∧
Integrable (fun p => ∑' w, responseRow beta v w p ^ 2)
((volume.restrict (Ioc 0 T)).prod (observationLaw μ)) ∧
(∫ p, ∑' w, responseRow beta v w p ^ 2
∂(volume.restrict (Ioc 0 T)).prod (observationLaw μ)) ≤
2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
let P := (volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)
have he := observation_extended_energy_le hμ hb v hT
rw [lintegral_tsum (fun w =>
((measurable_responseRow beta v w).pow_const 2).ennreal_ofReal.aemeasurable)] at he
have hm (w : TreeVertex d) : AEStronglyMeasurable (responseRow beta v w) P :=
(measurable_responseRow beta v w).aestronglyMeasurable
exact ⟨ae_summable_sq_of_tsum_lintegral_sq_ne_top P hm
(ne_top_of_le_ne_top ENNReal.ofReal_ne_top he),
integral_tsum_sq_le_of_tsum_lintegral_sq_le P hm (by positivity) he⟩
abbrev Joint (d : ℕ) := Paths d × (Paths d × Paths d)
def projection {d : ℕ} (j : Bool) (q : Joint d) : Paths d :=
if j then q.2.1 else q.2.2
private theorem projection_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
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 timeProjection {d : ℕ} (j : Bool) (p : ℝ × Joint d) : ℝ × Paths d :=
(p.1, projection j p.2)
private theorem timeProjection_measurePreserving
{d : ℕ} (beta : ℝ) (μ : Measure (TreeVertex d → IsingSpin))
[IsProbabilityMeasure μ] (j : Bool) (T : ℝ) :
MeasurePreserving (timeProjection (d := d) j)
((volume.restrict (Ioc (0 : ℝ) T)).prod (copies beta μ))
((volume.restrict (Ioc (0 : ℝ) T)).prod (observationLaw μ)) :=
(MeasurePreserving.id _).prod (projection_measurePreserving beta μ j)
theorem copy_row_energy_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} (hT : 0 ≤ T) :
(∀ᵐ p ∂(volume.restrict (Ioc 0 T)).prod (copies beta μ),
Summable (fun w => responseRow beta v w (timeProjection j p) ^ 2)) ∧
Integrable (fun p => ∑' w, responseRow beta v w (timeProjection j p) ^ 2)
((volume.restrict (Ioc 0 T)).prod (copies beta μ)) ∧
(∫ p, ∑' w, responseRow beta v w (timeProjection j p) ^ 2
∂(volume.restrict (Ioc 0 T)).prod (copies beta μ)) ≤
2 * ((d : ℝ) * beta + T + Real.sqrt T) := by
have ho := observation_row_energy_integrable hμ hb v hT
have hp := timeProjection_measurePreserving beta μ j T
refine ⟨hp.quasiMeasurePreserving.ae ho.1, hp.integrable_comp_of_integrable ho.2.1, ?_⟩
simpa only [Function.comp_def] using
(hp.hasLaw.integral_comp ho.2.1.aestronglyMeasurable).le.trans ho.2.2
def density {d : ℕ} (beta : ℝ) (v : TreeVertex d) (t : ℝ) (q : Joint d) : ℝ :=
DiscrepancyEnergy.density
(fun w q => responseRow beta v w (t, q.2.1))
(fun w q => responseRow beta v w (t, q.2.2))
(fun q => field beta v t.toNNReal q.2.1 - field beta v t.toNNReal q.2.2)
(fun q => posterior beta v t.toNNReal q.2.1)
(fun q => posterior beta v t.toNNReal q.2.2) q
theorem density_integrable
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(v : TreeVertex d) (T : ℝ≥0) :
Integrable (fun p : ℝ × Joint d => density beta v p.1 p.2)
((volume.restrict (Ioc (0 : ℝ) T)).prod (copies beta μ)) := by
have hl := copy_row_energy_integrable hμ hb v true T.coe_nonneg
have hr := copy_row_energy_integrable hμ hb v false T.coe_nonneg
have hmap (j : Bool) : Measurable (fun p : ℝ × Joint d =>
(p.1.toNNReal, projection j p.2)) :=
(measurable_real_toNNReal.comp measurable_fst).prodMk
((projection_measurePreserving beta μ j).measurable.comp measurable_snd)
have hbound := (IsingConditionalCopyBounds.fieldDifference_joint_bounds
hμ hb kernel_graphLaw T v).1
apply DiscrepancyEnergy.integrable_noise_add_drift
(c := fun w p => responseRow beta v w (timeProjection true p))
(c' := fun w p => responseRow beta v w (timeProjection false p))
(H := 2 * (T : ℝ) + 2 * (d : ℝ) * beta)
(fun w => ((measurable_responseRow beta v w).comp
(timeProjection_measurePreserving beta μ true T).measurable).aestronglyMeasurable)
(fun w => ((measurable_responseRow beta v w).comp
(timeProjection_measurePreserving beta μ false T).measurable).aestronglyMeasurable)
(((measurable_field_joint beta v).comp (hmap true)).sub
((measurable_field_joint beta v).comp (hmap false))).aestronglyMeasurable
(((measurable_posterior_joint beta v).comp (hmap true)).aestronglyMeasurable)
(((measurable_posterior_joint beta v).comp (hmap false)).aestronglyMeasurable)
hl.2.1 hr.2.1 (hl.1.and hr.1)
filter_upwards [hbound] with p hp
exact ⟨hp, posterior_norm_le_one beta v p.1.toNNReal p.2.2.1,
posterior_norm_le_one beta v p.1.toNNReal p.2.2.2⟩
theorem ae_integral_density_eq
{d : ℕ} {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)}
[IsProbabilityMeasure μ]
(hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta)
(v : TreeVertex d) (T : ℝ≥0) :
∀ᵐ t ∂volume.restrict (Icc (0 : ℝ) T),
(∫ q, density beta v t q ∂copies beta μ) =
(∑' w, ∫ q, (responseRow beta v w (t, q.2.1) -
responseRow beta v w (t, q.2.2)) ^ 2 ∂copies beta μ) +
2 * ∫ q, (field beta v t.toNNReal q.2.1 - field beta v t.toNNReal q.2.2) *
(posterior beta v t.toNNReal q.2.1 * (∑' w, responseRow beta v w (t, q.2.1) ^ 2) -
posterior beta v t.toNNReal q.2.2 * (∑' w, responseRow beta v w (t, q.2.2) ^ 2))
∂copies beta μ := by
have hl := copy_row_energy_integrable hμ hb v true T.coe_nonneg
have hr := copy_row_energy_integrable hμ hb v false T.coe_nonneg
rw [← restrict_Ioc_eq_restrict_Icc]
filter_upwards [hl.2.1.prod_right_ae, hr.2.1.prod_right_ae,
Measure.ae_ae_of_ae_prod hl.1, Measure.ae_ae_of_ae_prod hr.1] with t hAl hAr hsl hsr
have hmap (j : Bool) : Measurable (fun q : Joint d => (t.toNNReal, projection j q)) :=
measurable_const.prodMk (projection_measurePreserving beta μ j).measurable
have hrow (j : Bool) (w : TreeVertex d) :
Measurable (fun q : Joint d => responseRow beta v w (t, projection j q)) :=
(measurable_responseRow beta v w).comp
(measurable_const.prodMk (projection_measurePreserving beta μ j).measurable)
apply DiscrepancyEnergy.integral_noise_add_drift
(H := 2 * (t.toNNReal : ℝ) + 2 * (d : ℝ) * beta)
(fun w => (hrow true w).aestronglyMeasurable)
(fun w => (hrow false w).aestronglyMeasurable)
(((measurable_field_joint beta v).comp (hmap true)).sub
((measurable_field_joint beta v).comp (hmap false))).aestronglyMeasurable
(((measurable_posterior_joint beta v).comp (hmap true)).aestronglyMeasurable)
(((measurable_posterior_joint beta v).comp (hmap false)).aestronglyMeasurable)
hAl hAr (hsl.and hsr)
filter_upwards [IsingConditionalCopyBounds.ae_fieldDifference_bound
hμ hb kernel_graphLaw t.toNNReal v] with q hq
exact ⟨hq, posterior_norm_le_one beta v t.toNNReal q.2.1,
posterior_norm_le_one beta v t.toNNReal q.2.2⟩
end Problem367.IsingCopyEnergy
end
end OAI