openAI-math-dataset / lean /OAI /Dynamics /SmoothObstruction /StandardProbability.lean
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Add lean source and binary files (part 64)
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import Mathlib
namespace OAI
section
open MeasureTheory ProbabilityTheory Set ENNReal unitInterval Filter Topology Function
namespace SmoothObstruction
/- The quantile construction gives a measurable map from the unit interval
with the prescribed probability law. Injectivity yields a measurable
isomorphism on conull subsets for nonatomic laws. -/
noncomputable def unitQuantile (μ : Measure I) (t : I) : I :=
sSup {x | μ.real (Icc 0 x) < t}
lemma monotone_unitQuantile (μ : Measure I) : Monotone (unitQuantile μ) := by
intro u v huv
apply sSup_le_sSup
intro x hx
exact lt_of_lt_of_le hx (show (u : ℝ) ≤ v from huv)
lemma measurable_unitQuantile (μ : Measure I) : Measurable (unitQuantile μ) :=
(monotone_unitQuantile μ).measurable
lemma map_unitQuantile (μ : Measure I) [IsProbabilityMeasure μ] :
volume.map (unitQuantile μ) = μ := by
apply (volume.map (unitQuantile μ)).ext_of_Iic μ
intro x
have Iic_to_Icc : Iic x = Icc 0 x := by ext; simp
have μ_in_I : μ.real (Icc 0 x) ∈ I := ⟨measureReal_nonneg, measureReal_le_one⟩
simp_rw [Measure.map_apply (measurable_unitQuantile μ) measurableSet_Iic, preimage,
mem_Iic, Iic_to_Icc, ← ofReal_measureReal (measure_ne_top μ _),
← unitInterval.volume_Iic ⟨_, μ_in_I⟩]
congr with ξ
constructor
· intro (hξ : unitQuantile μ ξ ≤ x)
change ξ ≤ μ.real (Icc 0 x)
by_cases hx : x = 1
· simp [hx, ← univ_eq_Icc, ξ.2.2]
let g := fun y ↦ μ.real (Icc 0 y)
let nebot : NeBot (𝓝[>] x) := by
refine nhdsGT_neBot_of_exists_gt ?_
exact ⟨1, lt_of_le_of_ne x.2.2 hx⟩
refine le_of_tendsto_of_tendsto (b := 𝓝[>] x) (g := g) continuousWithinAt_const ?_ ?_
· let h := cdf (μ.map Subtype.val)
have h_continuousWithinAt := continuousWithinAt_Ioi_iff_Ici.mpr (h.right_continuous x)
simp_rw [g, ← unitInterval.cdf_eq_real μ]
exact h_continuousWithinAt.comp (Continuous.continuousWithinAt (by fun_prop)) (fun y hy ↦ hy)
· refine eventually_nhdsWithin_of_forall fun y hy ↦ ?_
by_contra! h
simp only [sSup_le_iff, unitQuantile] at hξ
specialize hξ y h
grind
· intro (hξ : ξ ≤ μ.real (Icc 0 x))
simp only [sSup_le_iff, unitQuantile]
intro c hc
by_contra! h
have h_lt : ¬ μ.real (Icc 0 x) ≤ μ.real (Icc 0 c) := not_le.mpr (lt_of_le_of_lt' hξ hc)
refine h_lt ?_
gcongr
simp
lemma strictMono_unitQuantile (μ : Measure I) [IsProbabilityMeasure μ]
[NullSingletonClass μ] : StrictMono (unitQuantile μ) := by
intro u v huv
refine lt_of_le_of_ne (monotone_unitQuantile μ huv.le) ?_
intro heq
have hnull : (volume : Measure I) ((unitQuantile μ) ⁻¹' {unitQuantile μ u}) = 0 := by
rw [← Measure.map_apply (measurable_unitQuantile μ) (measurableSet_singleton _),
map_unitQuantile, measure_singleton]
have hsub : Icc u v ⊆ (unitQuantile μ) ⁻¹' {unitQuantile μ u} := by
intro t ht
exact le_antisymm ((monotone_unitQuantile μ ht.2).trans_eq heq.symm)
(monotone_unitQuantile μ ht.1)
have hzero := measure_mono_null hsub hnull
rw [unitInterval.volume_Icc, ENNReal.ofReal_eq_zero] at hzero
exact not_le_of_gt (sub_pos.mpr (show (u : ℝ) < v from huv)) hzero
lemma embedding_unitQuantile (μ : Measure I) [IsProbabilityMeasure μ]
[NullSingletonClass μ] : MeasurableEmbedding (unitQuantile μ) :=
(measurable_unitQuantile μ).measurableEmbedding (strictMono_unitQuantile μ).injective
/-- Measure-space isomorphism after removing measurable null sets. -/
def ConullIsomorphic {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y]
(μ : Measure X) (ν : Measure Y) : Prop :=
∃ (A : Set X) (B : Set Y), MeasurableSet A ∧ MeasurableSet B ∧
μ Aᶜ = 0 ∧ ν Bᶜ = 0 ∧
∃ e : A ≃ᵐ B,
MeasurePreserving e (μ.comap (Subtype.val : A → X))
(ν.comap (Subtype.val : B → Y))
/-- Standard nonatomic in the source's explicit modulo-null-set sense. -/
def StandardNonatomic {X : Type*} [MeasurableSpace X] (μ : Measure X) : Prop :=
ConullIsomorphic μ
(volume.comap (Subtype.val : Set.Icc (0 : ℝ) 1 → ℝ))
lemma equivImage_preserving {X Z : Type*} [MeasurableSpace X] [MeasurableSpace Z]
{f : X → Z} (hf : MeasurableEmbedding f) (μ : Measure X)
{A : Set X} (hA : MeasurableSet A) :
MeasurePreserving (hf.equivImage A) (μ.comap (Subtype.val : A → X))
((μ.map f).comap (Subtype.val : f '' A → Z)) := by
refine ⟨(hf.equivImage A).measurable, ?_⟩
apply (MeasurableEmbedding.subtype_coe (hf.measurableSet_image' hA)).map_injective
rw [Measure.map_map measurable_subtype_coe (hf.equivImage A).measurable,
map_comap_subtype_coe (hf.measurableSet_image' hA)]
change (μ.comap (Subtype.val : A → X)).map (f ∘ Subtype.val) = _
rw [← Measure.map_map hf.measurable measurable_subtype_coe,
map_comap_subtype_coe hA, hf.restrict_map, hf.injective.preimage_image]
private def setEqEquiv {Z : Type*} [MeasurableSpace Z] {A B : Set Z} (h : A = B) :
A ≃ᵐ B := by
subst B
exact MeasurableEquiv.refl A
private lemma setEqEquiv_preserving {Z : Type*} [MeasurableSpace Z] {A B : Set Z}
(h : A = B) (μ : Measure Z) :
MeasurePreserving (setEqEquiv h) (μ.comap (Subtype.val : A → Z))
(μ.comap (Subtype.val : B → Z)) := by
subst B
exact MeasurePreserving.id _
/-- Two measurable embeddings having the same image law give an actual
measurable isomorphism on conull sets, not merely two factors. -/
lemma conullIsomorphic_of_common_embedding {X Y Z : Type*}
[MeasurableSpace X] [MeasurableSpace Y] [MeasurableSpace Z]
{f : X → Z} {g : Y → Z} (hf : MeasurableEmbedding f) (hg : MeasurableEmbedding g)
(μ : Measure X) (ν : Measure Y) (heq : μ.map f = ν.map g) :
ConullIsomorphic μ ν := by
let A := f ⁻¹' range g
let B := g ⁻¹' range f
have hA : MeasurableSet A := hf.measurable hg.measurableSet_range
have hB : MeasurableSet B := hg.measurable hf.measurableSet_range
have hAnull : μ Aᶜ = 0 := by
change μ (f ⁻¹' (range g)ᶜ) = 0
rw [← hf.map_apply, heq, hg.map_apply]
simp
have hBnull : ν Bᶜ = 0 := by
change ν (g ⁻¹' (range f)ᶜ) = 0
rw [← hg.map_apply, ← heq, hf.map_apply]
simp
have hAB : f '' A = g '' B := by
simp only [A, B, image_preimage_eq_inter_range, inter_comm]
let eA := hf.equivImage A
let eB := hg.equivImage B
let eC := setEqEquiv hAB
have hC : MeasurePreserving eC ((μ.map f).comap (Subtype.val : f '' A → Z))
((ν.map g).comap (Subtype.val : g '' B → Z)) := by
rw [heq]
exact setEqEquiv_preserving hAB _
refine ⟨A, B, hA, hB, hAnull, hBnull, eA.trans (eC.trans eB.symm), ?_⟩
exact (MeasurePreserving.symm eB (equivImage_preserving hg ν hB)).comp
(hC.comp (equivImage_preserving hf μ hA))
lemma nullSingleton_map_embedding {X Y : Type*} [MeasurableSpace X]
[MeasurableSpace Y] {f : X → Y} (hf : MeasurableEmbedding f)
(μ : Measure X) [NullSingletonClass μ] : NullSingletonClass (μ.map f) := by
constructor
intro y
rw [hf.map_apply]
exact (Set.subsingleton_singleton.preimage hf.injective).measure_zero μ
/-- The nonatomic standard-Borel classification needed by prop:system,
with the same closed-unit-interval reference as the frozen main target. -/
theorem standardNonatomic_of_standardBorel {X : Type*} [MeasurableSpace X]
[StandardBorelSpace X] (μ : Measure X) [IsProbabilityMeasure μ]
[NullSingletonClass μ] : StandardNonatomic μ := by
let f := sigmoid ∘ embeddingReal X
have hf : MeasurableEmbedding f := measurableEmbedding_sigmoid_comp_embeddingReal X
let ρ := μ.map f
have : IsProbabilityMeasure ρ := inferInstance
have : NullSingletonClass ρ := nullSingleton_map_embedding hf μ
have hq := embedding_unitQuantile ρ
have h := conullIsomorphic_of_common_embedding hf hq μ volume (map_unitQuantile ρ).symm
exact h
end SmoothObstruction
end
end OAI