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import Mathlib
import OAI.Probability.Perceptron.Cascade.DecoratedWeightedTotal
namespace OAI
noncomputable section
namespace SphericalPerceptronFreeEnergy
open MeasureTheory ProbabilityTheory Filter Set
open scoped Topology NNReal ENNReal BigOperators
variable {X S : Type} [MeasurableSpace X] [MeasurableSpace S] [Nonempty S]
omit [Nonempty S] in
lemma decoratedWeightedTotal_measurable (step : X×S → X) (hs : Measurable step)
(n : ℕ) (F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i)) :
Measurable (decoratedWeightedTotal step n F) := by
have he : decoratedWeightedTotal step n F =
fun p => cascadeTotal n (decoratedCascadeTransform step n F p) := by
funext p; exact decoratedWeightedTotal_transform step hs n F hF p
rw [he]
exact (cascadeTotal_measurable n).comp (decoratedCascadeTransform_measurable step hs n F hF)
def decoratedBiasedLaw (ν : ProbabilityMeasure S) (step : X×S → X)
(n : ℕ) (z : Fin n → ℝ) (F : Fin n → X×S → ℝ) (x : X) (a : ℝ) :
Measure (DecoratedCascade S n) :=
normalizedMeasure ((decoratedCascadeLaw ν n z : Measure (DecoratedCascade S n)).withDensity
(fun η => ENNReal.ofReal ((decoratedWeightedTotal step n F (x,η))^a)))
lemma decoratedWeightedTotal_pos (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin n → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) :
∀ᵐ η ∂(decoratedCascadeLaw ν n z : Measure (DecoratedCascade S n)),
0 < decoratedWeightedTotal step n F (x,η) :=
(decoratedWeightedTotal_identDistrib ν step hs n z hz0 hz1 F hF hI hM x).symm.ae_snd
measurableSet_Ioi (cascadeTotal_regular n z hz hz0 hz1).1
lemma decoratedLogTotalMoment_integrable (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin n → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1)
(x : X) (a : ℝ) (ha : ∀ i, a < z i) :
Integrable (fun η => Real.exp (a*Real.log (decoratedWeightedTotal step n F (x,η))))
(decoratedCascadeLaw ν n z : Measure (DecoratedCascade S n)) := by
have hid := (decoratedWeightedTotal_identDistrib ν step hs n z hz0 hz1 F hF hI hM x).comp
(Real.measurable_exp.comp (Real.measurable_log.const_mul a))
exact hid.integrable_iff.mpr (cascadeLogTotalMoment_integrable n z hz hz0 hz1 a ha)
lemma decoratedLogTotalMoment_eq (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin n → ℝ)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) (a : ℝ) :
(∫ η, Real.exp (a*Real.log (decoratedWeightedTotal step n F (x,η)))
∂decoratedCascadeLaw ν n z) =
∫ η, Real.exp (a*Real.log (cascadeTotal n η)) ∂cascadeLaw n z := by
exact ((decoratedWeightedTotal_identDistrib ν step hs n z hz0 hz1 F hF hI hM x).comp
(Real.measurable_exp.comp (Real.measurable_log.const_mul a))).integral_eq
lemma decoratedBiasedLaw_eq_exponentialTilt (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin n → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) (a : ℝ) :
decoratedBiasedLaw ν step n z F x a =
exponentialMarkTilt (decoratedCascadeLaw ν n z) a
(fun η => Real.log (decoratedWeightedTotal step n F (x,η))) := by
unfold decoratedBiasedLaw exponentialMarkTilt
congr 1
apply withDensity_congr_ae
filter_upwards [decoratedWeightedTotal_pos ν step hs n z hz hz0 hz1 F hF hI hM x] with η hη
rw [Real.rpow_def_of_pos hη,mul_comm]
lemma decoratedBiasedLaw_probability (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin n → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin n → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1)
(x : X) (a : ℝ) (ha : ∀ i, a < z i) :
IsProbabilityMeasure (decoratedBiasedLaw ν step n z F x a) := by
rw [decoratedBiasedLaw_eq_exponentialTilt ν step hs n z hz hz0 hz1 F hF hI hM x a]
exact exponentialMarkTilt_probability _
(decoratedLogTotalMoment_integrable ν step hs n z hz hz0 hz1 F hF hI hM x a ha)
def decoratedRootPotential (step : X×S → X) (n : ℕ) (F : Fin (n+1) → X×S → ℝ)
(p : X×(S×DecoratedCascade S n)) : ℝ :=
F 0 (p.1,p.2.1)+Real.log
(decoratedWeightedTotal step n (fun i => F i.succ) (step (p.1,p.2.1),p.2.2))
omit [Nonempty S] in
lemma decoratedRootPotential_measurable (step : X×S → X) (hs : Measurable step)
(n : ℕ) (F : Fin (n+1) → X×S → ℝ) (hF : ∀ i, Measurable (F i)) :
Measurable (decoratedRootPotential step n F) :=
((hF 0).comp (measurable_fst.prodMk measurable_snd.fst)).add
(((decoratedWeightedTotal_measurable step hs n _ (fun i => hF i.succ)).comp
((hs.comp (measurable_fst.prodMk measurable_snd.fst)).prodMk measurable_snd.snd)).log)
lemma decoratedRootPotential_integrable (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin (n+1) → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin (n+1) → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) :
Integrable (fun p => Real.exp (z 0*decoratedRootPotential step n F (x,p)))
((ν : Measure S).prod (decoratedCascadeLaw ν n (fun i => z i.succ))) := by
let ρ : Measure (DecoratedCascade S n) := decoratedCascadeLaw ν n (fun i => z i.succ)
let θ : Measure (StableCascade n) := cascadeLaw n (fun i => z i.succ)
let T : S×DecoratedCascade S n → StableCascade n := fun p =>
decoratedCascadeTransform step n (fun i => F i.succ) (step (x,p.1),p.2)
have hT : Measurable T := (decoratedCascadeTransform_measurable step hs n _
(fun i => hF i.succ)).comp
((hs.comp (measurable_const.prodMk measurable_fst)).prodMk measurable_snd)
have hLaw (s) : ρ.map (fun c => T (s,c)) = θ := by
exact decoratedCascadeTransform_law ν step hs n (fun i => z i.succ)
(fun i => hz0 i.succ) (fun i => hz1 i.succ) (fun i => F i.succ)
(fun i => hF i.succ) (fun i => hI i.succ) (fun i => hM i.succ) (step (x,s))
have hp : MeasurePreserving (fun p : S×DecoratedCascade S n => (p.1,T p))
((ν : Measure S).prod ρ) ((ν : Measure S).prod θ) :=
⟨measurable_fst.prodMk hT,descendant_transform_independent _ _ _ T hT hLaw⟩
have htail := cascadeLogTotalMoment_integrable n (fun i => z i.succ)
(fun i j h => hz (Fin.succ_lt_succ_iff.mpr h)) (fun i => hz0 i.succ)
(fun i => hz1 i.succ) (z 0) (fun i => hz (by simp))
have hprod := (hI 0 x).mul_prod htail
have he := (hp.integrable_comp hprod.aestronglyMeasurable).mpr hprod
apply he.congr
filter_upwards [] with p
dsimp [Function.comp,T,decoratedRootPotential]
rw [decoratedWeightedTotal_transform step hs n _ (fun i => hF i.succ),mul_add,Real.exp_add]
lemma decoratedWeightedTotal_succ_eq (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin (n+1) → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin (n+1) → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) :
∀ᵐ η ∂(decoratedCascadeLaw ν (n+1) z : Measure (DecoratedCascade S (n+1))),
decoratedWeightedTotal step (n+1) F (x,η) =
poissonWeightedTotal (fun p => decoratedRootPotential step n F (x,p)) η := by
have hT : Measurable (fun η : DecoratedCascade S (n+1) =>
decoratedCascadeTransform step (n+1) F (x,η)) :=
(decoratedCascadeTransform_measurable step hs (n+1) F hF).comp
(measurable_const.prodMk measurable_id)
have hp : MeasurePreserving (fun η => decoratedCascadeTransform step (n+1) F (x,η))
(decoratedCascadeLaw ν (n+1) z : Measure (DecoratedCascade S (n+1))) (cascadeLaw (n+1) z) :=
⟨hT,decoratedCascadeTransform_law ν step hs (n+1) z hz0 hz1 F hF hI hM x⟩
have htail := (cascadeTotal_regular n (fun i => z i.succ)
(fun i j h => hz (Fin.succ_lt_succ_iff.mpr h))
(fun i => hz0 i.succ) (fun i => hz1 i.succ)).1
have hae := hp.quasiMeasurePreserving.ae (cascadeTotal_succ_eq z htail)
have hreg := markedStable_regular
((ν : Measure S).prod (decoratedCascadeLaw ν n (fun i => z i.succ) : Measure (DecoratedCascade S n))) (hz0 0) (hz1 0)
filter_upwards [hae,hreg] with η hη hr
rw [decoratedWeightedTotal_transform step hs (n+1) F hF,hη]
change poissonWeightedTotal (fun C => Real.log (cascadeTotal n C))
((markedStableCountKernel η).map (fun q : ℝ×(S×DecoratedCascade S n) =>
(q.1+F 0 (x,q.2.1),decoratedCascadeTransform step n (fun i => F i.succ)
(step (x,q.2.1),q.2.2)))) = _
rw [markedStableCountKernel_eq η hr.1 hr.2]
have hmap : Measurable (fun q : ℝ×(S×DecoratedCascade S n) =>
(q.1+F 0 (x,q.2.1),decoratedCascadeTransform step n (fun i => F i.succ)
(step (x,q.2.1),q.2.2))) :=
(measurable_fst.add ((hF 0).comp (measurable_const.prodMk measurable_snd.fst))).prodMk
((decoratedCascadeTransform_measurable step hs n _ (fun i => hF i.succ)).comp
((hs.comp (measurable_const.prodMk measurable_snd.fst)).prodMk measurable_snd.snd))
unfold poissonWeightedTotal
have hobs : Measurable (fun p : ℝ×StableCascade n =>
ENNReal.ofReal (Real.exp (p.1+Real.log (cascadeTotal n p.2)))) :=
(measurable_fst.add ((cascadeTotal_measurable n).comp measurable_snd).log).exp.ennreal_ofReal
rw [lintegral_map hobs hmap]
congr 1
apply lintegral_congr
intro q
dsimp [decoratedRootPotential]
rw [decoratedWeightedTotal_transform step hs n _ (fun i => hF i.succ),add_assoc]
lemma decoratedBiasedLaw_succ_eq_weighted (ν : ProbabilityMeasure S) (step : X×S → X)
(hs : Measurable step) (n : ℕ) (z : Fin (n+1) → ℝ) (hz : StrictMono z)
(hz0 : ∀ i, 0 < z i) (hz1 : ∀ i, z i < 1)
(F : Fin (n+1) → X×S → ℝ) (hF : ∀ i, Measurable (F i))
(hI : ∀ i x, Integrable (fun s => Real.exp (z i*F i (x,s))) ν)
(hM : ∀ i x, (∫ s, Real.exp (z i*F i (x,s)) ∂ν) = 1) (x : X) (a : ℝ) :
decoratedBiasedLaw ν step (n+1) z F x a = weightedTotalBiasedLaw
((ν : Measure S).prod (decoratedCascadeLaw ν n (fun i => z i.succ))) a (z 0)
(fun p => decoratedRootPotential step n F (x,p)) := by
unfold decoratedBiasedLaw weightedTotalBiasedLaw
congr 1
apply withDensity_congr_ae
filter_upwards [decoratedWeightedTotal_succ_eq ν step hs n z hz hz0 hz1 F hF hI hM x] with η hη
rw [hη]
end SphericalPerceptronFreeEnergy
end
end OAI