openAI-math-dataset / lean /OAI /Probability /FKMaps /ConditionedTrees.lean
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import OAI.Probability.FKMaps.MarkedSpines
namespace OAI
noncomputable section
open List Set MeasureTheory ProbabilityTheory
open scoped BigOperators ENNReal
namespace FKCRT.TreeCoding
attribute [local instance] Classical.propDecidable
lemma CriticalEvenOffspring.code_singleton (p : CriticalEvenOffspring) (n : ℕ)
(d : Code (2*n+1)) : p.codeLaw n {d}=ENNReal.ofReal (codeWeight p d/codePartition p (2*n+1)) := by
rw [← ofReal_measureReal,← integral_indicator_one (measurableSet_singleton d),p.code_integral]
simp [Set.indicator]
lemma CriticalEvenOffspring.marked_singleton {A : Type*} [MeasurableSpace A]
[MeasurableSingletonClass A] (p : CriticalEvenOffspring) (κ : ℕ → PMF A) (n : ℕ)
(d : Code (2*n+1)) (a : Fin (2*n+1) → A) :
p.markedCodeLaw (fun k => (κ k).toMeasure) n {(d,a)}=
ENNReal.ofReal (codeWeight p d/codePartition p (2*n+1)) * ∏ i,κ (d.val i).val (a i) := by
have he : ({(d,a)} : Set (Code (2*n+1)×(Fin (2*n+1) → A)))={d}×ˢ{a} := by ext x;simp
rw [he,CriticalEvenOffspring.markedCodeLaw,Measure.compProd_apply_prod
(measurableSet_singleton _) (measurableSet_singleton _),lintegral_singleton]
simp only [codeMarkKernel,Kernel.coe_mk,codeMarkLaw,Measure.pi_singleton ]
simp_rw [PMF.toMeasure_apply_singleton _ _ (measurableSet_singleton _)]
rw [p.code_singleton,mul_comm]
end FKCRT.TreeCoding
namespace FKCRT.Inventory
open FKCRT.TreeCoding
attribute [local instance] Classical.propDecidable
namespace CoreTree
lemma word_length_degrees (T : CoreTree) : T.word.length=T.degrees.sum := by
induction T with
| leaf => simp [word,degrees,labels,CoreLabel.arity]
| branch c ts ih =>
have hw : (branch c ts).word.length=∑ i,(1+(ts i).word.length) := by
simp [word,cornerInsert,cornerList,List.length_flatMap,List.map_ofFn,List.sum_ofFn,
add_comm]
have hd : (branch c ts).degrees.sum=c.val.length+∑ i,(ts i).degrees.sum := by
simp [degrees,labels_branch,CoreLabel.arity,List.flatMap_def,List.map_flatten,
List.sum_flatten,List.map_ofFn,List.sum_ofFn]
rw [hw,hd]
simp_rw [ih]
simp [Finset.sum_add_distrib]
lemma labels_length (T : CoreTree) : T.labels.length=T.word.length+1 := by
have h := T.shape.degrees_sum
rw [T.shape_degrees,← T.word_length_degrees] at h
simpa only [degrees,List.length_map] using h.symm
def toCode (T : CoreTree) : Code T.labels.length :=
⟨fun i => ⟨(T.labels[i.val]).arity,by
have hm : (T.labels[i.val]).arity∈T.shape.degrees := by
rw [T.shape_degrees]
exact List.mem_map.mpr ⟨_,List.getElem_mem _,rfl⟩
have hl := T.shape.degree_lt_length hm
simpa only [shape_degrees,degrees,List.length_map] using hl⟩,by
rw [isTreeCode_iff]
convert T.degrees_excursion using 1
unfold degreeList PlaneTree.incrementWord degrees
simp only [List.map_map,Function.comp_def]
exact List.ofFn_getElem_eq_map T.labels (fun c => (c.arity:ℤ)-1)⟩
abbrev MarkedCode (N : ℕ) := {x : Code N × (Fin N → CoreLabel) // ∀ i,(x.2 i).arity=(x.1.val i).val}
abbrev Sized (N : ℕ) := {T : CoreTree // T.labels.length=N}
def ofMarkedCode {N : ℕ} (x : MarkedCode N) : CoreTree :=
labelEquiv.symm ⟨List.ofFn x.val.2,by
have h : (List.ofFn x.val.2).map CoreLabel.arity=List.ofFn (fun i => (x.val.1.val i).val) := by
simp only [List.map_ofFn,Function.comp_def]
exact congrArg List.ofFn (funext x.property)
rw [h,PlaneTree.incrementWord_ofFn]
exact (isTreeCode_iff _).mp x.val.1.property⟩
lemma ofMarkedCode_labels {N : ℕ} (x : MarkedCode N) :
(ofMarkedCode x).labels=List.ofFn x.val.2 :=
congrArg Subtype.val (labelEquiv.apply_symm_apply _)
lemma ofMarkedCode_size {N : ℕ} (x : MarkedCode N) : (ofMarkedCode x).labels.length=N := by
rw [ofMarkedCode_labels,List.length_ofFn]
lemma ofMarkedCode_injective (N : ℕ) : Function.Injective (@ofMarkedCode N) := by
intro x y h
have hl := congrArg labels h
rw [ofMarkedCode_labels,ofMarkedCode_labels] at hl
have ha : x.val.2=y.val.2 := List.ofFn_injective hl
have hd : x.val.1=y.val.1 := by
apply Subtype.ext
funext i
apply Fin.ext
rw [← x.property i,← y.property i,ha]
exact Subtype.ext (Prod.ext hd ha)
def sizedEquiv (N : ℕ) : MarkedCode N ≃ Sized N := Equiv.ofBijective
(fun x => ⟨ofMarkedCode x,ofMarkedCode_size x⟩) ⟨by
intro x y h
exact ofMarkedCode_injective N (congrArg Subtype.val h),by
rintro ⟨T,hT⟩
subst N
let d : Code T.labels.length := T.toCode
let a : Fin T.labels.length → CoreLabel := fun i => T.labels[i.val]
have ha : List.ofFn a=T.labels := List.ofFn_getElem
have hcomp : ∀ i,(a i).arity=(d.val i).val := fun _ => rfl
refine ⟨⟨(d,a),hcomp⟩,Subtype.ext ?_⟩
apply labels_injective
rw [ofMarkedCode_labels,ha]⟩
end CoreTree
/-- The actual conditioned independent marking density, with no change of
root distribution and no appeal to a conditional GW law as a hypothesis. -/
theorem actual_marked_singleton (P : Parameters) (n : ℕ)
(d : Code (2*n+1)) (a : Fin (2*n+1) → CoreLabel) :
(actualOffspring P).markedCodeLaw (fun k => (CoreLabel.markLaw P k).toMeasure) n {(d,a)}=
(if ∀ i,(a i).arity=(d.val i).val then ∏ i,CoreLabel.rootLaw P (a i) else 0)/
ENNReal.ofReal (codePartition (actualOffspring P) (2*n+1)) := by
rw [CriticalEvenOffspring.marked_singleton,ENNReal.ofReal_div_of_pos
(codePartition_odd_pos _ n)]
have hw : ENNReal.ofReal (codeWeight (actualOffspring P) d)=
∏ i,(actualOffspring P).law (d.val i).val := by
unfold codeWeight
rw [ENNReal.ofReal_prod_of_nonneg (fun _ _ => (actualOffspring P).nonneg _)]
simp only [CriticalEvenOffspring.law_apply]
rw [hw]
simp only [div_eq_mul_inv]
rw [mul_right_comm,CoreLabel.product_disintegration]
by_cases h : ∀ i,(a i).arity=(d.val i).val
· rw [ite_eq_left h,ite_eq_left h]
· rw [ite_eq_right h,ite_eq_right h]
end FKCRT.Inventory
end
noncomputable section
open List Set MeasureTheory ProbabilityTheory
open scoped BigOperators ENNReal
namespace FKCRT.Inventory
open FKCRT.TreeCoding
attribute [local instance] Classical.propDecidable
namespace CoreTree
/-- The actual successful words and compatible independently marked tree
codes are equivalent at each fixed total edge size. -/
def sizedWordEquiv (N : ℕ) : Sized (N+1) ≃ {w : EmptyTypedWord // w.val.length=N} :=
Equiv.ofBijective (fun T => ⟨wordEquiv T.val,by
have h := T.val.labels_length
have hT := T.property
change T.val.word.length=N
omega⟩) ⟨by
intro T U h
exact Subtype.ext (word_injective (congrArg (fun w => w.val.val) h)),by
rintro ⟨w,hw⟩
let T := wordEquiv.symm w
have hT : T.word=w.val := congrArg Subtype.val (wordEquiv.apply_symm_apply w)
refine ⟨⟨T,?_⟩,Subtype.ext (Subtype.ext hT)⟩
rw [T.labels_length,hT,hw]⟩
abbrev SizedWord (N : ℕ) := {w : EmptyTypedWord // w.val.length=N}
def markedWordEquiv (N : ℕ) : MarkedCode (N+1) ≃ SizedWord N :=
(sizedEquiv (N+1)).trans (sizedWordEquiv N)
lemma markedWordEquiv_word (N : ℕ) (x : MarkedCode (N+1)) :
((markedWordEquiv N) x).val.val=(ofMarkedCode x).word := rfl
lemma rootMass_product (P : Parameters) {N : ℕ} (x : MarkedCode N) :
(∏ i,CoreLabel.rootMass P (x.val.2 i))=
wordMonomial (flexParameter P) (Real.sqrt (radiusParameter P)) (ofMarkedCode x).word/emptyTotal P := by
have h := (ofMarkedCode x).productMass_eq (flexParameter P)
(Real.sqrt (radiusParameter P)) (emptyTotal P) (emptyTotal_pos P).ne'
rw [productMass_labels,ofMarkedCode_labels,List.map_ofFn,List.prod_ofFn] at h
exact h
lemma rootLaw_product (P : Parameters) {N : ℕ} (x : MarkedCode N) :
(∏ i,CoreLabel.rootLaw P (x.val.2 i))=ENNReal.ofReal
(wordMonomial (flexParameter P) (Real.sqrt (radiusParameter P)) (ofMarkedCode x).word/emptyTotal P) := by
rw [← rootMass_product]
rw [ENNReal.ofReal_prod_of_nonneg (fun _ _ => CoreLabel.rootMass_nonneg P _)]
rfl
end CoreTree
/-- Complete pointwise finite-law density, now expressed in the word of the
original map bijection. Every leaf, every admissible arity and the common
normalizing factor are retained. -/
theorem actual_marked_word_density (P : Parameters) (n : ℕ)
(x : CoreTree.MarkedCode (2*n+1)) :
(actualOffspring P).markedCodeLaw (fun k => (CoreLabel.markLaw P k).toMeasure) n {x.val}=
ENNReal.ofReal (wordMonomial (flexParameter P) (Real.sqrt (radiusParameter P))
((CoreTree.markedWordEquiv (2*n)) x).val.val/emptyTotal P)/
ENNReal.ofReal (codePartition (actualOffspring P) (2*n+1)) := by
rw [actual_marked_singleton P n x.val.1 x.val.2,ite_eq_left x.property,
CoreTree.rootLaw_product P x]
rfl
/-- There is no positive mass on inconsistent marks. In particular the
arbitrary mark at an impossible offspring value is irrelevant. -/
theorem actual_marked_compatible (P : Parameters) (n : ℕ) :
∀ᵐ x ∂(actualOffspring P).markedCodeLaw (fun k => (CoreLabel.markLaw P k).toMeasure) n,
∀ i,(x.2 i).arity=(x.1.val i).val := by
rw [ae_iff_of_countable]
intro x hx
by_contra hc
have h := actual_marked_singleton P n x.1 x.2
rw [ite_eq_right hc,ENNReal.zero_div] at h
exact hx h
end FKCRT.Inventory
end
end OAI