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import Mathlib
import OAI.Probability.Ballisticity.Entropy.EntropyVariational
namespace OAI
section
open MeasureTheory ProbabilityTheory InformationTheory
open scoped ENNReal Classical BigOperators
namespace DirectionalTransience.Entropy
variable {X I : Type*} [MeasurableSpace X]
lemma restricted_exp_test (μ ν : Measure X) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] (hkl : klDiv μ ν ≠ ∞)
(E : Set X) (hE : MeasurableSet E)
(F : X → ℝ) (hF : Measurable F) (hB : ∃ B : ℝ, ∀ x, |F x| ≤ B) :
(∫ x, F x ∂μ.restrict E) - (∫ x, Real.exp (F x) ∂ν.restrict E) + ν.real E ≤
(klDiv μ ν).toReal := by
let G : X → ℝ := E.indicator F
have hG : Measurable G := hF.indicator hE
have hGB : ∃ B : ℝ, ∀ x, |G x| ≤ B := by
obtain ⟨B,hB⟩ := hB
refine ⟨max B 0,fun x => ?_⟩
by_cases hx : x ∈ E
· simpa [G,hx] using (hB x).trans (le_max_left B 0)
· simp [G,hx]
have h := entropy_exp_test_le μ ν hkl G (integrable_of_bounded hG hGB)
(exp_integrable_of_bounded hG hGB)
have heq : (fun x => Real.exp (G x)) =
fun x => E.indicator (fun x => Real.exp (F x)) x + Eᶜ.indicator (fun _ => (1:ℝ)) x := by
funext x
by_cases hx : x ∈ E <;> simp [G,hx]
have hei := (exp_integrable_of_bounded (μ:=ν) hF hB).indicator hE
have hci := (integrable_const (μ:=ν) (1:ℝ)).indicator hE.compl
rw [heq, integral_add hei hci, integral_indicator hE,
integral_indicator_const 1 hE.compl, smul_eq_mul, mul_one,
probReal_compl_eq_one_sub hE] at h
rw [integral_indicator hE] at h
linarith
noncomputable def activeSum (s : Finset I) (μ : I → Measure X) (E : I → Set X) : Measure X :=
∑ i ∈ s, (μ i).restrict (E i)
instance activeSum_finite (s : Finset I) (μ : I → Measure X)
[∀ i, IsFiniteMeasure (μ i)] (E : I → Set X) : IsFiniteMeasure (activeSum s μ E) := by
unfold activeSum
infer_instance
lemma activeSum_integral (s : Finset I) (μ : I → Measure X)
[∀ i, IsFiniteMeasure (μ i)] (E : I → Set X)
(F : X → ℝ) (hF : Measurable F) (hB : ∃ B : ℝ, ∀ x, |F x| ≤ B) :
(∫ x, F x ∂activeSum s μ E) = ∑ i ∈ s, ∫ x, F x ∂(μ i).restrict (E i) := by
unfold activeSum
exact integral_finsetSum_measure (fun i _ => integrable_of_bounded hF hB)
lemma activeSum_mass (s : Finset I) (μ : I → Measure X)
[∀ i, IsFiniteMeasure (μ i)] (E : I → Set X) :
(activeSum s μ E).real Set.univ = ∑ i ∈ s, (μ i).real (E i) := by
have h := activeSum_integral s μ E (fun _ => (1:ℝ)) measurable_const ⟨1,fun _ => by norm_num⟩
simpa only [integral_const,smul_eq_mul,mul_one,measureReal_restrict_apply_univ] using h
theorem activeSum_exp_test (s : Finset I) (μ ν : I → Measure X)
[∀ i, IsProbabilityMeasure (μ i)] [∀ i, IsProbabilityMeasure (ν i)]
(hkl : ∀ i ∈ s, klDiv (μ i) (ν i) ≠ ∞)
(E : I → Set X) (hE : ∀ i ∈ s, MeasurableSet (E i))
(F : X → ℝ) (hF : Measurable F) (hB : ∃ B : ℝ, ∀ x, |F x| ≤ B) :
(∫ x, F x ∂activeSum s μ E) - (∫ x, Real.exp (F x) ∂activeSum s ν E) +
(activeSum s ν E).real Set.univ ≤ ∑ i ∈ s, (klDiv (μ i) (ν i)).toReal := by
have heB : ∃ B : ℝ, ∀ x, |Real.exp (F x)| ≤ B := by
obtain ⟨B,hB⟩ := hB
exact ⟨Real.exp B,fun x => by
rw [abs_of_pos (Real.exp_pos _)]
exact Real.exp_le_exp.mpr ((le_abs_self _).trans (hB x))⟩
rw [activeSum_integral s μ E F hF hB,activeSum_integral s ν E _ hF.exp heB,
activeSum_mass,← Finset.sum_sub_distrib,← Finset.sum_add_distrib]
exact Finset.sum_le_sum fun i hi => restricted_exp_test (μ i) (ν i) (hkl i hi)
(E i) (hE i hi) F hF hB
theorem normalized_activeSum_kl_le [Nonempty X]
(s : Finset I) (μ ν : I → Measure X)
[∀ i, IsProbabilityMeasure (μ i)] [∀ i, IsProbabilityMeasure (ν i)]
(hkl : ∀ i ∈ s, klDiv (μ i) (ν i) ≠ ∞)
(E : I → Set X) (hE : ∀ i ∈ s, MeasurableSet (E i))
(hequal : ∀ i ∈ s, μ i (E i) = ν i (E i))
(hpos : 0 < (activeSum s μ E).real Set.univ) :
let μs : FiniteMeasure X := ⟨activeSum s μ E,inferInstance⟩
let νs : FiniteMeasure X := ⟨activeSum s ν E,inferInstance⟩
klDiv (μs.normalize : Measure X) (νs.normalize : Measure X) ≤
ENNReal.ofReal ((∑ i ∈ s, (klDiv (μ i) (ν i)).toReal) /
(activeSum s μ E).real Set.univ) := by
let μs : FiniteMeasure X := ⟨activeSum s μ E,inferInstance⟩
let νs : FiniteMeasure X := ⟨activeSum s ν E,inferInstance⟩
have hm : (activeSum s ν E).real Set.univ = (activeSum s μ E).real Set.univ := by
rw [activeSum_mass,activeSum_mass]
apply Finset.sum_congr rfl
intro i hi
exact congrArg ENNReal.toReal (hequal i hi).symm
have hμne : μs ≠ 0 := by
intro h
have hz : (activeSum s μ E).real Set.univ = 0 := by
change (μs : Measure X).real Set.univ = 0
rw [h]; simp
linarith
have hνne : νs ≠ 0 := by
intro h
have hz : (activeSum s ν E).real Set.univ = 0 := by
change (νs : Measure X).real Set.univ = 0
rw [h]; simp
linarith
apply kl_le_of_expBudget
intro F hF hB
have h := activeSum_exp_test s μ ν hkl E hE F hF hB
rw [hm] at h
rw [← μs.average_eq_integral_normalize hμne,← νs.average_eq_integral_normalize hνne,
average,average,integral_smul_measure,integral_smul_measure]
change ((activeSum s μ E) Set.univ)⁻¹.toReal * _ -
((activeSum s ν E) Set.univ)⁻¹.toReal * _ + 1 ≤ _
rw [ENNReal.toReal_inv,ENNReal.toReal_inv]
change ((activeSum s μ E).real Set.univ)⁻¹ * _ -
((activeSum s ν E).real Set.univ)⁻¹ * _ + 1 ≤ _
rw [hm]
apply (le_div_iff₀ hpos).mpr
field_simp
exact h
end DirectionalTransience.Entropy
end
end OAI