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Add lean source and binary files (part 12)
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import OAI.Analysis.Brenier.AffineTies
namespace OAI
noncomputable section
open MeasureTheory
open scoped InnerProductSpace
namespace Problem358
/-- A finite nonempty family of measurable scores has a measurable maximizing
index. The maximizing score is measurable as well; no measurability assumption
on individual index singletons is needed. -/
theorem exists_measurable_finset_argmax {X ι : Type*}
[MeasurableSpace X] [MeasurableSpace ι]
(f : ι → X → ℝ) (hf : ∀ i, Measurable (f i)) :
∀ (s : Finset ι), s.Nonempty →
∃ g : X → ι, Measurable g ∧ (∀ x, g x ∈ s) ∧
Measurable (fun x => f (g x) x) ∧
∀ x i, i ∈ s → f i x ≤ f (g x) x := by
classical
intro s
induction s using Finset.induction_on with
| empty =>
intro hs
exact False.elim (Finset.not_nonempty_empty hs)
| @insert a s ha ih =>
intro hs
by_cases hsn : s.Nonempty
· obtain ⟨g, hg, hgm, hfg, hmax⟩ := ih hsn
let p : X → Prop := fun x => f (g x) x ≤ f a x
let k : X → ι := fun x => if p x then a else g x
have hp : MeasurableSet {x | p x} := measurableSet_le hfg (hf a)
have hk : Measurable k := Measurable.ite hp measurable_const hg
have hfk : Measurable (fun x => f (k x) x) := by
have hval : (fun x => f (k x) x) =
(fun x => if p x then f a x else f (g x) x) := by
funext x
simp only [k]
split_ifs <;> rfl
rw [hval]
exact Measurable.ite hp (hf a) hfg
refine ⟨k, hk, ?_, hfk, ?_⟩
· intro x
dsimp [k]
split_ifs
· exact Finset.mem_insert_self _ _
· exact Finset.mem_insert_of_mem (hgm x)
· intro x i hi
dsimp [k]
split_ifs with hx
· rcases Finset.mem_insert.mp hi with rfl | hi
· exact le_rfl
· exact (hmax x i hi).trans hx
· rcases Finset.mem_insert.mp hi with rfl | hi
· exact (lt_of_not_ge hx).le
· exact hmax x i hi
· have hs0 : s = ∅ := Finset.not_nonempty_iff_eq_empty.mp hsn
subst s
refine ⟨fun _ => a, measurable_const, ?_, hf a, ?_⟩
· intro x
simp
· intro x i hi
have hia : i = a := by simpa using hi
subst i
exact le_rfl
/-- A measurable choice of an index maximizing a finite measurable family. -/
theorem exists_measurable_argmax {X ι : Type*}
[MeasurableSpace X] [MeasurableSpace ι] [Fintype ι] [Nonempty ι]
(f : ι → X → ℝ) (hf : ∀ i, Measurable (f i)) :
∃ g : X → ι, Measurable g ∧ Measurable (fun x => f (g x) x) ∧
∀ x i, f i x ≤ f (g x) x := by
classical
obtain ⟨g, hg, _, hfg, hmax⟩ :=
exists_measurable_finset_argmax f hf Finset.univ Finset.univ_nonempty
exact ⟨g, hg, hfg, fun x i => hmax x i (Finset.mem_univ i)⟩
/-- Finite affine maxima have a globally measurable maximizing-slope map,
including on their tie sets. -/
theorem exists_measurable_affine_maximizer {V ι : Type*}
[NormedAddCommGroup V] [InnerProductSpace ℝ V]
[MeasurableSpace V] [BorelSpace V]
[Fintype ι] [Nonempty ι] (y : ι → V) (c : ι → ℝ) :
∃ T : V → V, Measurable T ∧ ∀ x, ∃ i,
T x = y i ∧ ∀ j, ⟪y j, x⟫_ℝ + c j ≤ ⟪y i, x⟫_ℝ + c i := by
classical
let : MeasurableSpace ι := ⊤
have hf (i : ι) : Measurable (fun x : V => ⟪y i, x⟫_ℝ + c i) := by
fun_prop
obtain ⟨g, hg, _, hmax⟩ := exists_measurable_argmax
(fun i x => ⟪y i, x⟫_ℝ + c i) hf
have hy : Measurable y := Measurable.of_discrete
exact ⟨fun x => y (g x), hy.comp hg, fun x => ⟨g x, rfl, hmax x⟩⟩
end Problem358
end
noncomputable section
open MeasureTheory
open scoped BigOperators ENNReal
namespace Problem358
/-- The law of a finite choice of prescribed values is determined by the choice-cell masses. -/
lemma map_finite_selector {α β ι : Type*} [MeasurableSpace α] [MeasurableSpace β]
[MeasurableSpace ι] [MeasurableSingletonClass ι] [Fintype ι]
[MeasurableSingletonClass β] (ρ : Measure α) (s : α → ι)
(hs : Measurable s) (y : ι → β) :
Measure.map (fun x => y (s x)) ρ = ∑ i, ρ (s ⁻¹' {i}) • Measure.dirac (y i) := by
have hy : Measurable y := measurable_of_countable y
change Measure.map (y ∘ s) ρ = _
rw [← Measure.map_map hy hs, Measure.map_eq_sum ρ s hs, Measure.sum_fintype,
Measure.map_finset_sum hy.aemeasurable]
simp only [Measure.map_smul _ hy.aemeasurable, Measure.map_dirac]
/-- A version of `map_finite_selector` using supplied cell masses. -/
lemma map_finite_selector_of_masses {α β ι : Type*} [MeasurableSpace α] [MeasurableSpace β]
[MeasurableSpace ι] [MeasurableSingletonClass ι] [Fintype ι]
[MeasurableSingletonClass β] (ρ : Measure α) (s : α → ι)
(hs : Measurable s) (y : ι → β) (w : ι → ℝ≥0∞)
(hw : ∀ i, ρ (s ⁻¹' {i}) = w i) :
Measure.map (fun x => y (s x)) ρ = ∑ i, w i • Measure.dirac (y i) := by
rw [map_finite_selector ρ s hs y]
simp_rw [hw]
end Problem358
end
noncomputable section
open MeasureTheory
open scoped RealInnerProductSpace
namespace Problem358.ParameterizedArgmax
/-- Off the tie set, maximizing selectors are independent of every choice. -/
theorem ae_eq_of_maximizers
{X ι : Type*} [MeasurableSpace X] (ρ : Measure X)
(f : ι → X → ℝ) (k l : X → ι)
(hsep : ∀ᵐ x ∂ρ, Function.Injective (fun i => f i x))
(hk : ∀ᵐ x ∂ρ, ∀ i, f i x ≤ f (k x) x)
(hl : ∀ᵐ x ∂ρ, ∀ i, f i x ≤ f (l x) x) : k =ᵐ[ρ] l := by
filter_upwards [hsep, hk, hl] with x hsep hk hl
exact hsep (le_antisymm (hl (k x)) (hk (l x)))
/-- Any pointwise family of prescribed-mass maximizing selectors can be replaced
by one jointly measurable selector. Null ties preserve every mass exactly; no
measurability of the original family of choices is assumed. -/
theorem exists_joint_measurable_argmax_with_masses
{P X ι : Type*} [MeasurableSpace P] [MeasurableSpace X]
[MeasurableSpace ι] [Fintype ι] [Nonempty ι]
(ρ : P → Measure X) (f : ι → P × X → ℝ) (m : P → ι → ℝ)
(hf : ∀ i, Measurable (f i))
(hsep : ∀ p, ∀ᵐ x ∂ρ p, Function.Injective (fun i => f i (p, x)))
(hex : ∀ p, ∃ k : X → ι,
(∀ᵐ x ∂ρ p, ∀ i, f i (p, x) ≤ f (k x) (p, x)) ∧
∀ i, (ρ p).real {x | k x = i} = m p i) :
∃ k : P × X → ι, Measurable k ∧
(∀ p x i, f i (p, x) ≤ f (k (p, x)) (p, x)) ∧
∀ p i, (ρ p).real {x | k (p, x) = i} = m p i := by
obtain ⟨k, hk, _, hmax⟩ := exists_measurable_argmax f hf
refine ⟨k, hk, fun p x i => hmax (p, x) i, ?_⟩
intro p i
obtain ⟨l, hl, hmass⟩ := hex p
have heq : (fun x => k (p, x)) =ᵐ[ρ p] l :=
ae_eq_of_maximizers (ρ p) (fun i x => f i (p, x)) (fun x => k (p, x)) l
(hsep p) (Filter.Eventually.of_forall (fun x => hmax (p, x))) hl
have hsets : {x | k (p, x) = i} =ᵐ[ρ p] {x | l x = i} := by
filter_upwards [heq] with x hx
exact congrArg (fun z => z = i) hx
have hmeasure := measure_congr hsets
calc
(ρ p).real {x | k (p, x) = i} = (ρ p).real {x | l x = i} :=
congrArg ENNReal.toReal hmeasure
_ = m p i := hmass i
/-- Concrete affine version for the uniform source: joint measurability of the
sites/intercepts and injective sites discharge the score and null-tie premises. -/
theorem exists_joint_measurable_affine_argmax_with_masses
{P ι : Type*} [MeasurableSpace P] [MeasurableSpace ι]
[Fintype ι] [Nonempty ι] {d : ℕ} (K : Set (E d))
(y : P → ι → E d) (c m : P → ι → ℝ)
(hy : ∀ i, Measurable (fun p => y p i))
(hc : ∀ i, Measurable (fun p => c p i))
(hinj : ∀ p, Function.Injective (y p))
(hex : ∀ p, ∃ k : E d → ι,
(∀ᵐ x ∂uniformMeasure K, ∀ i,
⟪x, y p i⟫ + c p i ≤ ⟪x, y p (k x)⟫ + c p (k x)) ∧
∀ i, (uniformMeasure K).real {x | k x = i} = m p i) :
∃ k : P × E d → ι, Measurable k ∧
(∀ p x i, ⟪x, y p i⟫ + c p i ≤
⟪x, y p (k (p, x))⟫ + c p (k (p, x))) ∧
∀ p i, (uniformMeasure K).real {x | k (p, x) = i} = m p i := by
apply exists_joint_measurable_argmax_with_masses
(fun _ => uniformMeasure K) (fun i p => ⟪p.2, y p.1 i⟫ + c p.1 i) m
· intro i
exact (measurable_snd.inner ((hy i).comp measurable_fst)).add
((hc i).comp measurable_fst)
· intro p
filter_upwards [uniform_ae_affine_tie_implies_slopes_eq K (y p) (c p)] with x hx
intro i j hij
exact hinj p (hx i j hij)
· exact hex
end Problem358.ParameterizedArgmax
end
end OAI