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Add lean source and binary files (part 126)
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import Mathlib
import OAI.Probability.Perceptron.Variational.LabelReference
namespace OAI
noncomputable section
namespace SphericalPerceptronFreeEnergy
open MeasureTheory ProbabilityTheory Set Filter
open scoped ENNReal NNReal BigOperators Topology
def indexedInfiniteLeafMeasure (k : ℕ) (z : Fin k → ℝ) :
Measure (IndexedCascadeBase k × (ℕ → IndexedLeaf k)) :=
(indexedCascadeBaseLaw k z : Measure (IndexedCascadeBase k)) ⊗ₘ
kernelInfiniteReplica (indexedLeafKernel k) ℕ
instance indexedInfiniteLeafMeasure_probability (k : ℕ) (z : Fin k → ℝ) :
IsProbabilityMeasure (indexedInfiniteLeafMeasure k z) := by
unfold indexedInfiniteLeafMeasure
infer_instance
def indexedDepthArray (k : ℕ) (xs : ℕ → IndexedLeaf k) : FiniteOverlap (Fin (k+1)) :=
fun i j => indexedCommonDepth k (xs i) (xs j)
lemma indexedDepthArray_measurable (k : ℕ) : Measurable (indexedDepthArray k) := by
apply Measurable.of_eval
intro i
apply Measurable.of_eval
intro j
change Measurable (fun xs : ℕ → IndexedLeaf k => indexedCommonDepth k (xs i) (xs j))
have hf : Measurable (fun p : IndexedLeaf k × IndexedLeaf k => indexedCommonDepth k p.1 p.2) :=
measurable_of_countable _
have hg : Measurable (fun xs : ℕ → IndexedLeaf k => (xs i,xs j)) :=
(measurable_pi_apply i).prodMk (measurable_pi_apply j)
exact hf.comp hg
def indexedDepthLaw (k : ℕ) (z : Fin k → ℝ) : ProbabilityMeasure (FiniteOverlap (Fin (k+1))) :=
⟨(indexedInfiniteLeafMeasure k z).map (fun a => indexedDepthArray k a.2),
inferInstance⟩
lemma indexedDepthLaw_lintegral (k : ℕ) (z : Fin k → ℝ)
(F : FiniteOverlap (Fin (k+1)) → ℝ≥0∞) (hF : Measurable F) :
(∫⁻ R, F R ∂(indexedDepthLaw k z : Measure (FiniteOverlap (Fin (k+1))))) =
∫⁻ b, ∫⁻ xs, F (indexedDepthArray k xs)
∂Measure.infinitePi (fun _ : ℕ => indexedLeafProbability k b) ∂indexedCascadeBaseLaw k z := by
change (∫⁻ R, F R ∂(indexedInfiniteLeafMeasure k z).map
(fun a => indexedDepthArray k a.2)) = _
calc
_ = ∫⁻ a, F (indexedDepthArray k a.2) ∂indexedInfiniteLeafMeasure k z :=
lintegral_map hF ((indexedDepthArray_measurable k).comp measurable_snd)
_ = _ := by
exact Measure.lintegral_compProd (hF.comp ((indexedDepthArray_measurable k).comp measurable_snd))
lemma indexedDepthLaw_lintegral_prefix (k : ℕ) (z : Fin k → ℝ) (r : ℕ)
(F : FiniteBlock (Fin (k+1)) r → ℝ≥0∞) :
(∫⁻ R, F (finiteBlock r R) ∂(indexedDepthLaw k z : Measure (FiniteOverlap (Fin (k+1))))) =
∫⁻ b, ∫⁻ xs : Fin r → IndexedLeaf k,
F (fun i j => indexedCommonDepth k (xs i) (xs j))
∂Measure.pi (fun _ => indexedLeafProbability k b) ∂indexedCascadeBaseLaw k z := by
have hF : Measurable F := measurable_of_countable _
refine (indexedDepthLaw_lintegral k z (fun R => F (finiteBlock r R))
(hF.comp (finiteBlock_measurable r))).trans ?_
apply lintegral_congr
intro b
exact (infiniteReplica_prefix_preserving (indexedLeafProbability k b) r).lintegral_comp
(measurable_of_countable (fun xs : Fin r → IndexedLeaf k =>
F (fun i j => indexedCommonDepth k (xs i) (xs j))))
lemma infiniteReplica_prefix_fresh_preserving {S : Type*} [MeasurableSpace S]
(μ : Measure S) [IsProbabilityMeasure μ] (r : ℕ) :
MeasurePreserving (fun xs : ℕ → S => ((fun i : Fin r => xs i.val),xs r))
(Measure.infinitePi (fun _ : ℕ => μ)) ((Measure.pi (fun _ : Fin r => μ)).prod μ) := by
have hfinite := measurePreserving_piFinSuccAbove (fun _ : Fin (r+1) => μ) (Fin.last r)
have h := (Measure.measurePreserving_swap (μ := μ) (ν := Measure.pi (fun _ : Fin r => μ))).comp
(hfinite.comp (infiniteReplica_prefix_preserving μ (r+1)))
convert h using 1
funext xs
simp only [Function.comp_def,MeasurableEquiv.piFinSuccAbove_apply]
apply Prod.ext
· funext i
simp [Fin.init]
· rfl
lemma indexedDepthLaw_geometry (k : ℕ) (z : Fin k → ℝ) :
∀ᵐ R ∂(indexedDepthLaw k z : Measure (FiniteOverlap (Fin (k+1)))),
(∀ i j, R i j = R j i) ∧ (∀ i, R i i = Fin.last k) ∧
∀ i j l, min (R i j) (R i l) ≤ R j l := by
apply (ae_map_iff ((indexedDepthArray_measurable k).comp measurable_snd).aemeasurable
(by measurability)).mpr
exact ae_of_all _ fun a => ⟨fun i j => indexedCommonDepth_comm k _ _,
fun i => indexedCommonDepth_self k _,fun i j l => indexedCommonDepth_ultrametric k _ _ _⟩
def CascadeShapeReplicas : (n : ℕ) → CascadeVisitShape n → Type
| 0, r => Fin r
| n + 1, ss => Σ i : Fin ss.length, CascadeShapeReplicas n ss[i]
instance cascadeShapeReplicas_fintype (n : ℕ) (s : CascadeVisitShape n) :
Fintype (CascadeShapeReplicas n s) := by
induction n with
| zero => exact inferInstanceAs (Fintype (Fin s))
| succ n ih =>
letI (i : Fin s.length) := ih s[i]
exact inferInstanceAs (Fintype (Σ i : Fin s.length, CascadeShapeReplicas n s[i]))
def cascadeShapeLeaves : (n : ℕ) → (s : CascadeVisitShape n) →
CascadeShapeReplicas n s → IndexedLeaf n
| 0, _, _ => ()
| n + 1, ss, i => (i.1.val, 0, cascadeShapeLeaves n ss[i.1] i.2)
lemma cascadeShapeReplicas_nonempty (n : ℕ) (s : CascadeVisitShape n)
(hs : s.Valid n) : Nonempty (CascadeShapeReplicas n s) := by
induction n with
| zero => exact ⟨⟨0, hs⟩⟩
| succ n ih =>
have hlen : 0 < s.length := List.length_pos_iff.mpr hs.1
obtain ⟨x⟩ := ih s[0] (hs.2 _ (List.getElem_mem hlen))
exact ⟨⟨⟨0, hlen⟩, x⟩⟩
lemma cascadeShapeReplicas_card (n : ℕ) (s : CascadeVisitShape n) :
Fintype.card (CascadeShapeReplicas n s) = cascadeVisitCount n s := by
induction n with
| zero => exact Fintype.card_fin s
| succ n ih =>
change Fintype.card (Σ i : Fin s.length, CascadeShapeReplicas n s[i]) = _
rw [Fintype.card_sigma]
simp_rw [ih]
change (∑ i : Fin s.length, cascadeVisitCount n s[i]) = (s.map (cascadeVisitCount n)).sum
rw [← List.sum_ofFn]
simp
def cascadeShapeReplicasOfFnEquiv (n m : ℕ) (s : Fin m → CascadeVisitShape n) :
(Σ i : Fin m, CascadeShapeReplicas n (s i)) ≃
CascadeShapeReplicas (n + 1) (List.ofFn s) := by
change (Σ i : Fin m, CascadeShapeReplicas n (s i)) ≃
(Σ i : Fin (List.ofFn s).length, CascadeShapeReplicas n (List.ofFn s)[i])
refine Equiv.sigmaCongr (finCongr (List.length_ofFn).symm) (fun i => ?_)
exact Equiv.cast (by simp)
lemma cascadeShapeLeaves_cast (n : ℕ) {s t : CascadeVisitShape n}
(h : s = t) (x : CascadeShapeReplicas n s) :
cascadeShapeLeaves n t (cast (congrArg (CascadeShapeReplicas n) h) x) =
cascadeShapeLeaves n s x := by
cases h
rfl
lemma cascadeShapeLeaves_ofFn (n m : ℕ) (s : Fin m → CascadeVisitShape n)
(i : Fin m) (x : CascadeShapeReplicas n (s i)) :
cascadeShapeLeaves (n + 1) (List.ofFn s)
(cascadeShapeReplicasOfFnEquiv n m s ⟨i,x⟩) =
(i.val, 0, cascadeShapeLeaves n (s i) x) := by
simp only [cascadeShapeReplicasOfFnEquiv, Equiv.sigmaCongr, cascadeShapeLeaves]
change (i.val, 0, cascadeShapeLeaves n _ (cast _ x)) = _
have h : (List.ofFn s)[(finCongr (List.length_ofFn).symm) i] = s i := by simp
congr 2
exact cascadeShapeLeaves_cast n h.symm x
theorem finite_leaf_tuple_shape (n : ℕ) :
∀ (ι : Type) [Fintype ι] [Nonempty ι] (xs : ι → IndexedLeaf n),
∃ s : CascadeVisitShape n, s.Valid n ∧
∃ e : ι ≃ CascadeShapeReplicas n s,
∀ i j, indexedCommonDepth n (xs i) (xs j) =
indexedCommonDepth n (cascadeShapeLeaves n s (e i))
(cascadeShapeLeaves n s (e j)) := by
classical
induction n with
| zero =>
intro ι _ _ xs
exact ⟨Fintype.card ι, Fintype.card_pos, Fintype.equivFin ι, fun _ _ => rfl⟩
| succ n ih =>
intro ι _ _ xs
let root : ι → ℕ × ℕ := fun i => ((xs i).1, (xs i).2.1)
let V := Set.range root
let : Fintype V := (Set.finite_range root).fintype
let g₀ : ι → V := fun i => ⟨root i, ⟨i,rfl⟩⟩
have hg₀ : Function.Surjective g₀ := by
rintro ⟨v, i, hi⟩
exact ⟨i, Subtype.ext hi⟩
let : Nonempty V := Nonempty.map g₀ inferInstance
let g : ι → Fin (Fintype.card V) := fun i => Fintype.equivFin V (g₀ i)
have hg : Function.Surjective g := (Fintype.equivFin V).surjective.comp hg₀
have hroot (i j : ι) : g i = g j ↔ (xs i).1 = (xs j).1 ∧ (xs i).2.1 = (xs j).2.1 := by
change (Fintype.equivFin V) (g₀ i) = (Fintype.equivFin V) (g₀ j) ↔ _
rw [Equiv.apply_eq_iff_eq, Subtype.ext_iff]
exact Prod.ext_iff
let J (a : Fin (Fintype.card V)) := {i : ι // g i = a}
let (a : Fin (Fintype.card V)) : Nonempty (J a) :=
⟨⟨Classical.choose (hg a), Classical.choose_spec (hg a)⟩⟩
have hc (a : Fin (Fintype.card V)) := ih (J a) (fun i => (xs i.val).2.2)
choose ss hv ee he using hc
let s : CascadeVisitShape (n + 1) := List.ofFn ss
have hs : s.Valid (n + 1) := by
constructor
· have hp : 0 < Fintype.card V := Fintype.card_pos
apply List.length_pos_iff.mp
simpa only [s, List.length_ofFn] using hp
· intro t ht
obtain ⟨a, rfl⟩ := List.mem_ofFn.mp ht
exact hv a
let E : ι ≃ CascadeShapeReplicas (n + 1) s :=
((Equiv.sigmaFiberEquiv g).symm.trans (Equiv.sigmaCongrRight ee)).trans
(cascadeShapeReplicasOfFnEquiv n (Fintype.card V) ss)
refine ⟨s, hs, E, ?_⟩
intro i j
obtain ⟨⟨a,i⟩, rfl⟩ := (Equiv.sigmaFiberEquiv g).surjective i
obtain ⟨⟨b,j⟩, rfl⟩ := (Equiv.sigmaFiberEquiv g).surjective j
have hE (a : Fin (Fintype.card V)) (i : J a) :
cascadeShapeLeaves (n + 1) s (E ((Equiv.sigmaFiberEquiv g) ⟨a,i⟩)) =
(a.val, 0, cascadeShapeLeaves n (ss a) (ee a i)) := by
simp only [E, Equiv.trans_apply, Equiv.symm_apply_apply,
Equiv.sigmaCongrRight_apply, s, cascadeShapeLeaves_ofFn]
rw [hE, hE]
change indexedCommonDepth (n + 1) (xs i.val) (xs j.val) = _
by_cases hab : a = b
· subst b
have hij : (xs i.val).1 = (xs j.val).1 ∧ (xs i.val).2.1 = (xs j.val).2.1 :=
(hroot i.val j.val).mp (i.property.trans j.property.symm)
simp only [indexedCommonDepth, ite_eq_left hij, and_self, ↓reduceIte]
exact congrArg Fin.succ (he a i j)
· have hij : ¬ ((xs i.val).1 = (xs j.val).1 ∧ (xs i.val).2.1 = (xs j.val).2.1) := by
intro hij
exact hab (i.property.symm.trans ((hroot i.val j.val).mpr hij) |>.trans j.property)
have habv : a.val ≠ b.val := fun h => hab (Fin.ext h)
simp only [indexedCommonDepth, ite_eq_right hij, habv, false_and, ↓reduceIte]
end SphericalPerceptronFreeEnergy
end
end OAI