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Add lean source and binary files (part 41)
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import OAI.Combinatorics.ContingencyTables.Transport.FiniteAdaptiveObservable
namespace OAI
/-! # Complete histories under an encoded transition law -/
namespace ContingencyTables.FiniteObservableTransport
open CommonBasesFPRAS
open scoped Classical
def traceAfter {C U : Type*} (step : C → U → C) (c : C) : List U → List C
| [] => []
| u::us => let d := step c u; d::traceAfter step d us
def traceStates {C U : Type*} (step : C → U → C) (c : C) (us : List U) : List C :=
c::traceAfter step c us
lemma traceAfter_map {C U V : Type*} (F : C → U → C) (f : V → U)
(vs : List V) (c : C) :
traceAfter F c (vs.map f)=traceAfter (fun c v => F c (f v)) c vs := by
induction vs generalizing c with
| nil => rfl
| cons v vs ih => simp only [List.map_cons,traceAfter,ih]
lemma traceStates_map {C U V : Type*} (F : C → U → C) (f : V → U)
(vs : List V) (c : C) :
traceStates F c (vs.map f)=traceStates (fun c v => F c (f v)) c vs := by
unfold traceStates
rw [traceAfter_map]
noncomputable section
variable {C Z U V : Type*} [Fintype U] [Fintype V]
/-- Equality of the encoded row laws transfers the whole finite history,
including observables depending on every visited state. -/
theorem traceStates_sameLaw (F : C → U → C) (G : Z → V → Z) (e : Z → C)
(h : ∀ z,SameLaw (F (e z)) (fun v => e (G z v))) (z : Z) (N : ℕ) :
SameLaw (fun us : Fin N → U => traceStates F (e z) (List.ofFn us))
(fun vs : Fin N → V => (traceStates G z (List.ofFn vs)).map e) := by
intro phi
induction N generalizing z phi with
| zero => simp only [List.ofFn_zero,traceStates,traceAfter,List.map_cons,List.map_nil,
uniformAverage_const]
| succ N ih =>
rw [uniformAverage_fin_succ,uniformAverage_fin_succ]
simp only [List.ofFn_cons,traceStates,traceAfter,List.map_cons]
have he := h z (fun c => uniformAverage (fun us : Fin N → U =>
phi (e z::traceStates F c (List.ofFn us))))
refine he.trans ?_
apply congrArg uniformAverage
funext v
exact ih (G z v) (fun cs => phi (e z::cs))
/-- The same encoding argument also transports a terminal state without
requiring a decoder or finiteness of the encoded state space. -/
theorem foldl_sameLaw (F : C → U → C) (G : Z → V → Z) (e : Z → C)
(h : ∀ z,SameLaw (F (e z)) (fun v => e (G z v))) (z : Z) (N : ℕ) :
SameLaw (fun us : Fin N → U => (List.ofFn us).foldl F (e z))
(fun vs : Fin N → V => e ((List.ofFn vs).foldl G z)) := by
intro phi
induction N generalizing z phi with
| zero => simp only [List.ofFn_zero,List.foldl_nil,uniformAverage_const]
| succ N ih =>
rw [uniformAverage_fin_succ,uniformAverage_fin_succ]
simp only [List.ofFn_cons,List.foldl_cons]
have he := h z (fun c => uniformAverage (fun us : Fin N → U =>
phi ((List.ofFn us).foldl F c)))
refine he.trans ?_
apply congrArg uniformAverage
funext v
exact ih (G z v) phi
omit [Fintype U] in
/-- The reverse accumulator used by a bounded fold has precisely the
chronological history after reversing its stored list. -/
lemma traceAfter_fold (F : C → U → C) (us : List U) (c : C) (history : List C) :
(us.foldl (fun s u => let d := F s.1 u; (d,d::s.2)) (c,history)).2.reverse=
history.reverse++traceAfter F c us := by
induction us generalizing c history with
| nil => simp only [List.foldl_nil,traceAfter,List.append_nil]
| cons u us ih =>
simp only [List.foldl_cons,traceAfter]
rw [ih,List.reverse_cons,List.append_assoc]
rfl
omit [Fintype U] in
lemma traceStates_fold (F : C → U → C) (us : List U) (c : C) :
(us.foldl (fun s u => let d := F s.1 u; (d,d::s.2)) (c,[c])).2.reverse=
traceStates F c us := by
rw [traceAfter_fold]
rfl
end
end ContingencyTables.FiniteObservableTransport
end OAI