openAI-math-dataset / lean /OAI /Analysis /IrrationalRotation /Couplings /ConditionalEventBridge.lean
roseking's picture
Add lean source and binary files (part 19)
9eeb9c7 verified
Raw History Blame Contribute Delete
1.78 kB
import Mathlib.Probability.Independence.Conditional
import Mathlib.Probability.Independence.Basic
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory
open scoped BigOperators
namespace Invariant233.ConditionalEventBridge
variable {Ω A B ι : Type*}
[MeasurableSpace Ω] [StandardBorelSpace Ω]
[MeasurableSpace A] [MeasurableSpace B] [StandardBorelSpace B] [Nonempty B]
[Countable ι]
theorem iCondIndepSet_preimage_of_condDistrib
(μ : Measure Ω) [IsFiniteMeasure μ]
(X : Ω → A) (Y : Ω → B) (hX : Measurable X) (hY : Measurable Y)
(s : ι → Set B) (hs : ∀ i, MeasurableSet (s i))
(hind : ∀ᵐ x ∂μ.map X, iIndepSet s (condDistrib Y X μ x)) :
iCondIndepSet (MeasurableSpace.comap X inferInstance) hX.comap_le
(fun i => Y ⁻¹' s i) μ := by
apply (iCondIndepSet_iff _ _ _ (fun i => hY (hs i)) μ).2
intro S
have hi : ∀ᵐ ω ∂μ, ∀ i,
(condDistrib Y X μ (X ω)).real (s i) =
(μ[(Y ⁻¹' s i).indicator (fun _ => (1 : ℝ)) |
MeasurableSpace.comap X inferInstance]) ω :=
ae_all_iff.mpr (fun i => condDistrib_ae_eq_condExp hX hY (hs i))
have hinter := condDistrib_ae_eq_condExp (μ := μ) hX hY
(MeasurableSet.biInter S.countable_toSet (fun i _ => hs i))
have hind' := ae_of_ae_map hX.aemeasurable hind
filter_upwards [hi, hinter, hind'] with ω hω hI hInd
simp only [Set.preimage_iInter, Finset.mem_coe] at hI
rw [← hI]
have heq := congrArg ENNReal.toReal (hInd.meas_biInter S)
simp only [ENNReal.toReal_prod] at heq
change (condDistrib Y X μ (X ω)).real (⋂ i ∈ S, s i) = _ at heq
rw [heq]
simp only [Finset.prod_apply]
exact Finset.prod_congr rfl (fun i _ => hω i)
end Invariant233.ConditionalEventBridge
end
end OAI