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Add lean source and binary files (part 122)
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import OAI.Probability.FreeIsing.Trees.ConnectedHull
import OAI.Probability.FreeIsing.Trees.Parents
namespace OAI
noncomputable section
open MeasureTheory
namespace Problem367.TreeConeCoding
def encode {b : ℕ} (c : Fin (b + 1)) : List (Fin b) → List (Fin (b + 1))
| [] => []
| i :: w => (finSuccAboveEquiv c i).1 :: encode (finSuccAboveEquiv c i).1 w
@[simp] theorem encode_nil {b : ℕ} (c : Fin (b + 1)) : encode c [] = [] := rfl
@[simp] theorem length_encode {b : ℕ} (c : Fin (b + 1)) (w : List (Fin b)) :
(encode c w).length = w.length := by
induction w generalizing c with
| nil => rfl
| cons i w ih => simp only [encode, List.length_cons, ih]
theorem chain_encode {b : ℕ} (c : Fin (b + 1)) (w : List (Fin b)) :
List.IsChain (fun a b => a ≠ b) (c :: encode c w) := by
induction w generalizing c with
| nil => exact List.IsChain.singleton c
| cons i w ih =>
exact List.isChain_cons_cons.mpr ⟨(finSuccAboveEquiv c i).2.symm, ih _⟩
theorem encode_injective {b : ℕ} (c : Fin (b + 1)) : Function.Injective (encode c) := by
intro x
induction x generalizing c with
| nil =>
intro y h
have := congrArg List.length h
simpa only [length_encode, List.length_nil, eq_comm, List.length_eq_zero_iff] using this
| cons i x ih =>
intro y h
cases y with
| nil => have := congrArg List.length h; simp at this
| cons j y =>
have he := List.cons.inj h
have hij : i = j := (finSuccAboveEquiv c).injective (Subtype.ext he.1)
subst j
exact congrArg (List.cons i) (ih _ he.2)
theorem encode_surjective {b : ℕ} (c : Fin (b + 1))
(w : List (Fin (b + 1))) (hw : List.IsChain (fun a b => a ≠ b) (c :: w)) :
∃ x : List (Fin b), encode c x = w := by
induction w generalizing c with
| nil => exact ⟨[], rfl⟩
| cons a w ih =>
obtain ⟨hca, haw⟩ := List.isChain_cons_cons.mp hw
obtain ⟨x, hx⟩ := ih a haw
let i := (finSuccAboveEquiv c).symm ⟨a, hca.symm⟩
have hi : (finSuccAboveEquiv c i).1 = a := by
simp only [i, Equiv.apply_symm_apply]
refine ⟨i :: x, ?_⟩
simp only [encode, hi, hx]
def continuationEquiv {b : ℕ} (c : Fin (b + 1)) :
List (Fin b) ≃ {w : List (Fin (b + 1)) // List.IsChain (fun a b => a ≠ b) (c :: w)} :=
Equiv.ofBijective (fun x => ⟨encode c x, chain_encode c x⟩)
⟨fun _ _ h => encode_injective c (congrArg Subtype.val h), by
rintro ⟨w, hw⟩
obtain ⟨x, hx⟩ := encode_surjective c w hw
exact ⟨x, Subtype.ext hx⟩⟩
@[simp] theorem encode_take {b : ℕ} (c : Fin (b + 1)) (w : List (Fin b)) (n : ℕ) :
encode c (w.take n) = (encode c w).take n := by
induction n generalizing c w with
| zero => simp
| succ n ih =>
cases w with
| nil => rfl
| cons i w => simp only [List.take_succ_cons, encode, ih]
theorem chain_append_iff {α : Type*} (R : α → α → Prop) (r w : List α) (hr : r ≠ []) :
List.IsChain R (r ++ w) ↔ List.IsChain R r ∧ List.IsChain R (r.getLast hr :: w) := by
conv_lhs => rw [← List.dropLast_append_getLast hr]
simp only [List.append_assoc, List.singleton_append]
rw [List.isChain_split, List.dropLast_append_getLast]
def vertex {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(w : List (Fin b)) : TreeVertex (b + 1) :=
⟨r.1 ++ encode (r.1.getLast hr) w,
(chain_append_iff _ _ _ hr).mpr ⟨r.2, chain_encode _ _⟩⟩
@[simp] theorem vertex_val {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(w : List (Fin b)) :
(vertex r hr w).1 = r.1 ++ encode (r.1.getLast hr) w := rfl
@[simp] theorem vertex_nil {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
vertex r hr [] = r := by
apply Subtype.ext
simp
@[simp] theorem length_vertex {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(w : List (Fin b)) : (vertex r hr w).1.length = r.1.length + w.length := by
simp
theorem vertex_prefix {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(w : List (Fin b)) : r.1 <+: (vertex r hr w).1 := List.prefix_append _ _
theorem vertex_injective {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
Function.Injective (vertex r hr) := by
intro x y h
apply encode_injective (r.1.getLast hr)
exact List.append_cancel_left (congrArg Subtype.val h)
theorem vertex_surjective_cone {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(v : TreeVertex (b + 1)) (hv : r.1 <+: v.1) :
∃ w : List (Fin b), vertex r hr w = v := by
obtain ⟨tail, htail⟩ := hv
have hc : List.IsChain (fun a b => a ≠ b) (r.1.getLast hr :: tail) := by
apply ((chain_append_iff _ _ _ hr).mp _).2
rw [htail]
exact v.2
obtain ⟨w, hw⟩ := encode_surjective (r.1.getLast hr) tail hc
refine ⟨w, Subtype.ext ?_⟩
change r.1 ++ encode (r.1.getLast hr) w = v.1
rw [hw, htail]
def coneEquiv {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
List (Fin b) ≃ {v : TreeVertex (b + 1) // r.1 <+: v.1} :=
Equiv.ofBijective (fun w => ⟨vertex r hr w, vertex_prefix r hr w⟩)
⟨fun _ _ h => vertex_injective r hr (congrArg Subtype.val h), by
rintro ⟨v, hv⟩
obtain ⟨w, hw⟩ := vertex_surjective_cone r hr v hv
exact ⟨w, Subtype.ext hw⟩⟩
theorem vertex_take {b : ℕ} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(w : List (Fin b)) (n : ℕ) :
vertex r hr (w.take n) =
ConnectedHull.takeVertex (vertex r hr w) (r.1.length + n) := by
apply Subtype.ext
change r.1 ++ encode (r.1.getLast hr) (w.take n) =
(r.1 ++ encode (r.1.getLast hr) w).take (r.1.length + n)
rw [List.take_length_add_append, encode_take]
def labels {b : ℕ} {A : Type*} (r : TreeVertex (b + 1)) (hr : r.1 ≠ [])
(U : TreeVertex (b + 1) → A) : List (Fin b) → A :=
fun w => U (vertex r hr w)
theorem measurable_labels {b : ℕ} {A : Type*} [MeasurableSpace A]
(r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
Measurable (labels (A := A) r hr) :=
Measurable.of_eval (fun _ => measurable_pi_apply _)
theorem map_labels {b : ℕ} {A : Type*} [MeasurableSpace A]
(ν : Measure A) [IsProbabilityMeasure ν]
(r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
Measure.map (labels r hr) (Measure.infinitePi (fun _ : TreeVertex (b + 1) => ν)) =
Measure.infinitePi (fun _ : List (Fin b) => ν) := by
exact Measure.map_infinitePi_infinitePi_of_inj (vertex_injective r hr)
theorem measurePreserving_labels {b : ℕ} {A : Type*} [MeasurableSpace A]
(ν : Measure A) [IsProbabilityMeasure ν]
(r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
MeasurePreserving (labels r hr)
(Measure.infinitePi (fun _ : TreeVertex (b + 1) => ν))
(Measure.infinitePi (fun _ : List (Fin b) => ν)) :=
⟨measurable_labels r hr, map_labels ν r hr⟩
theorem map_uniform_labels {b : ℕ}
(r : TreeVertex (b + 1)) (hr : r.1 ≠ []) :
Measure.map (labels r hr) (labelMeasure (b + 1)) =
Measure.infinitePi (fun _ : List (Fin b) => uniform01) :=
map_labels uniform01 r hr
end Problem367.TreeConeCoding
end
end OAI