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Add lean source and binary files (part 121)
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import OAI.Probability.FKMaps.PieceWalks
namespace OAI
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
lemma firstDown_add {h k n m : ℕ} (hh : 0<h) (hk : 0<k) {x : ℕ → Letter}
(hx : firstDown h x=WithTop.some n) (hy : firstDown k (tail (n+1) x)=WithTop.some m) :
firstDown (h+k) x=WithTop.some (n+m+1) := by
apply (firstDown_of_hit_iff _ _ _).mpr
constructor
· rw [show n+m+1+1=(n+1)+(m+1) by omega,signSum_add,
((firstDown_of_hit_iff _ _ _).mp hx).1,((firstDown_of_hit_iff _ _ _).mp hy).1]
push_cast; ring
· intro j hj
by_cases hjn : j<n+1
· by_cases hjn' : j<n
· have hp := firstDown_prefix_pos hh hx (j := j+1) (by omega)
push_cast; omega
· have he : j=n := by omega
subst j
rw [((firstDown_of_hit_iff _ _ _).mp hx).1]
push_cast; omega
· have hp := firstDown_prefix_pos hk hy (j := j+1-(n+1)) (by omega)
have he : j+1=(n+1)+(j+1-(n+1)) := by omega
rw [he,signSum_add,((firstDown_of_hit_iff _ _ _).mp hx).1]
norm_num only [Nat.cast_add]
omega
lemma stoppedWord_down_add {h k n m : ℕ} (hh : 0<h) (hk : 0<k) {x : ℕ → Letter}
(hx : firstDown h x=WithTop.some n) (hy : firstDown k (tail (n+1) x)=WithTop.some m) :
stoppedWord (firstDown (h+k)) x=stoppedWord (firstDown k) (stoppedTail (firstDown h) x)++stoppedWord (firstDown h) x := by
rw [stoppedWord_of_hit (firstDown_add hh hk hx hy),stoppedTail_of_hit hx,stoppedWord_of_hit hx,stoppedWord_of_hit hy,
show n+m+1+1=(n+1)+(m+1) by omega,revealed_add]
def rightPieces (x : ℕ → Letter) : ℕ → List Letter := fun j => wordPieces (firstDown 1) j x
lemma rightPieces_measurable : Measurable rightPieces := by
apply Measurable.of_eval
intro j
exact reverseRightWord_measurable.comp ((measurable_stoppedTail (firstDown_measurable 1)).iterate j)
lemma rightPieces_preserving (P : Parameters) :
MeasurePreserving rightPieces (streamLaw P ℕ) (naturalPiecesLaw (reverseRightLaw P)) := by
refine ⟨rightPieces_measurable,?_⟩
change (streamLaw P ℕ).map (fun x j => (reverseRightWord ∘ (stoppedTail (firstDown 1))^[j]) x)=_
rw [(stoppedWordPieces_iid P (firstDown_measurable 1) (firstDown_stopping 1) (firstDown_finite P 1 (by omega))).map_fun_eq_infinitePi_map
(fun j => reverseRightWord_measurable.comp ((measurable_stoppedTail (firstDown_measurable 1)).iterate j))]
unfold naturalPiecesLaw
congr 1
funext j
have hm := (stoppedTail_preserving P (firstDown_measurable 1) (firstDown_stopping 1) (firstDown_finite P 1 (by omega))).iterate j
change (streamLaw P ℕ).map (reverseRightWord ∘ (stoppedTail (firstDown 1))^[j])=reverseRightLaw P
rw [← Measure.map_map reverseRightWord_measurable hm.measurable,hm.map_eq]
rfl
def reversePiecesPrefix (x : ℕ → List Letter) (n : ℕ) : List Letter :=
((List.ofFn (fun i : Fin n => x i)).reverse).flatten
lemma reversePiecesPrefix_succ (x : ℕ → List Letter) (n : ℕ) :
reversePiecesPrefix x (n+1)=reversePiecesPrefix (piecesTail 1 x) n++x 0 := by
unfold reversePiecesPrefix
rw [List.ofFn_succ,List.reverse_cons,List.flatten_append]
simp only [List.flatten_cons,List.flatten_nil,List.append_nil]
simp [piecesTail,Nat.add_comm]
lemma rightPieces_tail (x : ℕ → Letter) :
piecesTail 1 (rightPieces x)=rightPieces (stoppedTail (firstDown 1) x) := by
funext j
simp only [piecesTail,rightPieces,wordPieces]
rw [Nat.add_comm 1 j,Function.iterate_succ_apply]
lemma stoppedWord_down_pieces (P : Parameters) (h : ℕ) : ∀ᵐ x ∂streamLaw P ℕ,
stoppedWord (firstDown (h+1)) x=reversePiecesPrefix (rightPieces x) (h+1) := by
induction h with
| zero =>
filter_upwards [] with x
simp [reversePiecesPrefix,rightPieces,wordPieces]
| succ h ih =>
have hm := stoppedTail_preserving P (firstDown_measurable 1) (firstDown_stopping 1) (firstDown_finite P 1 (by omega))
filter_upwards [firstDown_finite P 1 (by omega),hm.quasiMeasurePreserving.tendsto_ae ih,
hm.quasiMeasurePreserving.tendsto_ae (firstDown_finite P (h+1) (by omega))] with x hx hi hy
obtain ⟨n,hn⟩ := WithTop.ne_top_iff_exists.mp hx
obtain ⟨m,hmm⟩ := WithTop.ne_top_iff_exists.mp hy
have hn' := hn.symm
have hm' : firstDown (h+1) (tail (n+1) x)=WithTop.some m := by simpa only [stoppedTail_of_hit hn'] using hmm.symm
conv_rhs => rw [reversePiecesPrefix_succ,rightPieces_tail]
rw [show h+1+1=1+(h+1) by omega,stoppedWord_down_add (by omega) (by omega) hn' hm',hi]
rfl
def reverseFirstPieces (n : ℕ) (x : ℕ → List Letter) : ℕ → List Letter :=
fun j => x (TreeCoding.reverseIndex n j)
lemma reverseFirstPieces_preserving (ν : Measure (List Letter)) [IsProbabilityMeasure ν] (n : ℕ) :
MeasurePreserving (reverseFirstPieces n) (naturalPiecesLaw ν) (naturalPiecesLaw ν) :=
⟨Measurable.of_eval (fun _ => measurable_pi_apply _),
Measure.map_infinitePi_infinitePi_of_inj (TreeCoding.reverseIndex_involutive n).injective⟩
lemma reversePiecesPrefix_eq (x : ℕ → List Letter) (n : ℕ) :
reversePiecesPrefix x n=piecesPrefix (reverseFirstPieces n x) n := by
rw [piecesPrefix_ofFn]
unfold reversePiecesPrefix
congr 1
apply List.ext_getElem
· simp
· intro j hj hk
simp only [List.length_reverse,List.length_ofFn] at hj hk
simp [List.getElem_reverse,reverseFirstPieces,TreeCoding.reverseIndex]
lemma rightPrefix_identDistrib (P : Parameters) (h : ℕ) :
IdentDistrib (stoppedWord (firstDown (h+1))) (fun x => piecesPrefix x (h+1))
(streamLaw P ℕ) (naturalPiecesLaw (reverseRightLaw P)) := by
have hp := (reverseFirstPieces_preserving (reverseRightLaw P) (h+1)).comp (rightPieces_preserving P)
have hm : Measurable (fun x : ℕ → List Letter => piecesPrefix x (h+1)) := by
rw [show (fun x : ℕ → List Letter => piecesPrefix x (h+1))=
(fun f : Fin (h+1) → List Letter => (List.ofFn f).flatten) ∘ (fun x i => x i) by
funext x; exact piecesPrefix_ofFn x (h+1)]
exact (measurable_of_countable _).comp (Measurable.of_eval (fun index => measurable_pi_apply (index:ℕ)))
have hi := (hp.hasLaw.identDistrib ((MeasurePreserving.id _).hasLaw)).comp hm
apply (IdentDistrib.of_ae_eq (measurable_stoppedWord (firstDown_measurable (h+1))).aemeasurable ?_).trans hi
filter_upwards [stoppedWord_down_pieces P h] with x hx
simpa only [Function.comp_apply,reversePiecesPrefix_eq] using hx
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
lemma piecesPrefix_measurable (n : ℕ) : Measurable (fun x : ℕ → List Letter => piecesPrefix x n) := by
have he : (fun x : ℕ → List Letter => piecesPrefix x n)=
(fun f : Fin n → List Letter => (List.ofFn f).flatten) ∘ (fun x i => x i) := by
funext x; exact piecesPrefix_ofFn x n
rw [he]
exact (measurable_of_countable _).comp (Measurable.of_eval (fun index => measurable_pi_apply (index:ℕ)))
def NonemptyPieces (x : ℕ → List Letter) : Prop := ∀ j,(x j)≠[]
lemma reverseRightLaw_nonempty (P : Parameters) : ∀ᵐ w ∂reverseRightLaw P,w≠[] := by
apply (ae_map_iff reverseRightWord_measurable.aemeasurable (measurableSet_singleton ([]:List Letter)).compl).mpr
filter_upwards [reverseRightWord_net P] with x hx hnil
change reverseRightWord x=[] at hnil
simp [hnil] at hx
lemma rightPieces_nonempty (P : Parameters) : ∀ᵐ x ∂naturalPiecesLaw (reverseRightLaw P),NonemptyPieces x := by
rw [show (fun x => NonemptyPieces x)=(fun x => ∀ j,x j≠[]) by rfl,ae_all_iff]
intro j
exact (measurePreserving_eval_infinitePi (fun _ : ℕ => reverseRightLaw P) j).quasiMeasurePreserving.tendsto_ae
(reverseRightLaw_nonempty P)
lemma piecesPrefix_length {x : ℕ → List Letter} (hx : NonemptyPieces x) (n : ℕ) :
n ≤ (piecesPrefix x n).length := by
induction n with
| zero => omega
| succ n ih =>
have hp : 0<(x n).length := List.length_pos_iff.mpr (hx n)
simp only [piecesPrefix,List.length_append]
omega
lemma piecesPrefix_extension (x : ℕ → List Letter) {m n : ℕ} (hmn : m ≤ n) :
∃ w,piecesPrefix x n=piecesPrefix x m++w := by
obtain ⟨k,rfl⟩ := Nat.exists_eq_add_of_le hmn
exact ⟨_,piecesPrefix_add x m k⟩
def pieceScan (x : ℕ → List Letter) : ℕ → Letter := fun j =>
((piecesPrefix x (j+1))[j]?).getD (.order none)
lemma pieceScan_measurable : Measurable pieceScan := by
apply Measurable.of_eval
intro j
exact (measurable_of_countable (fun w : List Letter => (w[j]?).getD (.order none))).comp (piecesPrefix_measurable (j+1))
lemma pieceScan_get {x : ℕ → List Letter} (hx : NonemptyPieces x) {m j : ℕ} (hj : j < m) :
pieceScan x j=(piecesPrefix x m)[j]'(lt_of_lt_of_le hj (piecesPrefix_length hx m)) := by
have hp : j<(piecesPrefix x (j+1)).length := lt_of_lt_of_le (by omega) (piecesPrefix_length hx (j+1))
obtain ⟨w,hw⟩ := piecesPrefix_extension x (show j+1 ≤ m by omega)
simp only [pieceScan,List.getElem?_eq_getElem hp,Option.getD_some]
simp only [hw,List.getElem_append_left hp]
lemma rawWord_pieceScan {x : ℕ → List Letter} (hx : NonemptyPieces x) {m h : ℕ} (hmh : m ≤ h) :
rawWord (pieceScan x) m=(piecesPrefix x h).take m := by
have hl := (hmh.trans (piecesPrefix_length hx h))
apply List.ext_getElem
· simp [rawWord,List.length_ofFn, min_eq_left hl]
· intro j hj hk
have hj' : j < m := by simpa [rawWord] using hj
simp only [rawWord,List.getElem_ofFn,rawPrefix,List.getElem_take]
exact pieceScan_get hx (hj'.trans_le hmh)
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
lemma rawWord_measurable (n : ℕ) : Measurable (fun x : ℕ → Letter => rawWord x n) :=
(measurable_of_countable _).comp (rawPrefix_measurable n)
lemma wordWeight_reverse (P : Parameters) (w : List Letter) : wordWeight P w.reverse=wordWeight P w := by
simp [wordWeight,List.map_reverse]
lemma rawWord_reverse (x : ℕ → Letter) (n : ℕ) : (rawWord x n).reverse=revealed x n := rfl
lemma increment_sum_bounds (w : List Letter) :
-(w.length:ℤ) ≤ (w.map Letter.increment).sum ∧ (w.map Letter.increment).sum ≤ (w.length:ℤ) := by
induction w with
| nil => simp
| cons a w ih =>
have ha := increment_bounds a
simp only [List.length_cons,List.map_cons,List.sum_cons,Nat.cast_add,Nat.cast_one]
omega
lemma rightDensity_signSum_bounds (x : ℕ → Letter) (n : ℕ) : -(n:ℤ) ≤ signSum x n ∧ signSum x n ≤ n := by
have hh := increment_sum_bounds (revealed x n)
rw [revealed_sum] at hh
simpa only [revealed,List.length_reverse,List.length_ofFn] using hh
lemma firstDown_length {h n : ℕ} {x : ℕ → Letter} (hx : firstDown h x=WithTop.some n) : h ≤ n+1 := by
have hh := ((firstDown_of_hit_iff _ _ _).mp hx).1
have hb := (rightDensity_signSum_bounds x (n+1)).1
omega
lemma rawKilled_preimage (a b n : ℕ) : rawKilled a b n=rawPrefix n ⁻¹'
{d | SimpleWalk.nonnegativePath a (finiteSigns d) ∧ (a:ℤ)+SimpleWalk.pathSum (finiteSigns d) n=b} := by
ext x
simp only [rawKilled,Set.mem_ofPred_eq,Set.mem_preimage,SimpleWalk.nonnegativePath]
rw [raw_sign_pathSum x n n le_rfl]
apply and_congr_left
intro _
apply forall_congr'
intro j
apply forall_congr'
intro hj
rw [raw_sign_pathSum x n j hj]
lemma rightDensity_rawKilled_measurable (a b n : ℕ) : MeasurableSet (rawKilled a b n) := by
rw [rawKilled_preimage]
exact rawPrefix_measurable n (Set.to_countable _).measurableSet
lemma rawPrefix_tail_rectangle (P : Parameters) (n : ℕ) (A : Set (Fin n → Letter))
(B : Set (ℕ → Letter)) (hB : MeasurableSet B) :
streamLaw P ℕ (rawPrefix n ⁻¹' A ∩ tail n ⁻¹' B)=streamLaw P ℕ (rawPrefix n ⁻¹' A)*streamLaw P ℕ B := by
cases n with
| zero =>
by_cases ha : (fun i : Fin 0 => Fin.elim0 i)∈A
· have he : rawPrefix 0 ⁻¹' A=Set.univ := by
ext x
simp only [Set.mem_preimage,Set.mem_univ,iff_true]
convert ha using 1
rw [he,Set.univ_inter,measure_univ,one_mul]
congr 1
ext x
simp only [Set.mem_preimage,tail_zero]
· have he : rawPrefix 0 ⁻¹' A=∅ := by
ext x
simp only [Set.mem_preimage,Set.mem_empty_iff_false,iff_false]
have hf : rawPrefix 0 x=(fun i : Fin 0 => Fin.elim0 i) := Subsingleton.elim _ _
rwa [hf]
rw [he,Set.empty_inter,measure_empty,zero_mul]
| succ n =>
have hi := raw_fun_indep_tail P n (f := rawPrefix (n+1)) (prefix_measurable n id)
have he := hi.measure_inter_preimage_eq_mul A B (Set.to_countable A).measurableSet hB
rw [(tail_preserving P (n+1)).measure_preimage hB.nullMeasurableSet] at he
exact he
lemma rawKilled_block_rectangle (P : Parameters) (a b n : ℕ) (w : List Letter) :
streamLaw P ℕ (rawKilled a b n ∩ {x | rawWord (tail n x) w.length=w})=
ENNReal.ofReal (SimpleWalk.killed n a b)*wordWeight P w := by
rw [rawKilled_preimage]
change streamLaw P ℕ (rawPrefix n ⁻¹' _ ∩ tail n ⁻¹' {x | rawWord x w.length=w})=_
rw [rawPrefix_tail_rectangle P n _ {x | rawWord x w.length=w} (by exact (rawWord_measurable _) (measurableSet_singleton w)),rawWord_cylinder]
rw [← rawKilled_preimage]
congr 1
rw [← rawKilled_measure P,measureReal_def,ENNReal.ofReal_toReal (measure_ne_top _ _)]
/-- A specified reversed terminal string of a first-downcrossing word leaves
a genuine killed-walk prefix and an independent raw suffix. -/
lemma stoppedWord_suffix_witness {h t : ℕ} {x : ℕ → Letter} {w : List Letter}
(hwpos : 0<w.length) (hh : w.length<h) (hx : firstDown h x=WithTop.some t)
(hw : (stoppedWord (firstDown h) x).take w.length=w) :
∃ r n : ℕ,0<r ∧ (r:ℤ)= -(w.map Letter.increment).sum ∧
x∈rawKilled (h-1) (r-1) n ∧ rawWord (tail n x) w.length=w.reverse := by
have ht := firstDown_length hx
let n := t+1-w.length
have hn : n+w.length=t+1 := by dsimp [n]; omega
have hnlt : n ≤ t := by dsimp [n]; omega
have hwr : revealed (tail n x) w.length=w := by
rw [stoppedWord_of_hit hx,← hn,revealed_add,
List.take_left' (by simp [revealed])] at hw
exact hw
have hwS : signSum (tail n x) w.length=(w.map Letter.increment).sum := by
rw [← revealed_sum,hwr]
have hsum := ((firstDown_of_hit_iff _ _ _).mp hx).1
rw [← hn,signSum_add,hwS] at hsum
have hp := firstDown_prefix_pos (by omega : 0<h) hx hnlt
have hneg : (w.map Letter.increment).sum<0 := by omega
let r := (-(w.map Letter.increment).sum).toNat
have hr : (r:ℤ)= -(w.map Letter.increment).sum := Int.toNat_of_nonneg (by omega)
have hrpos : 0<r := by omega
refine ⟨r,n,hrpos,hr,⟨?_,?_⟩,?_⟩
· intro j hj
have hjp := firstDown_prefix_pos (by omega : 0<h) hx (hj.trans hnlt)
have hhcast : ((h-1:ℕ):ℤ)=(h:ℤ)-1 := by omega
rw [hhcast]
omega
· have hhcast : ((h-1:ℕ):ℤ)=(h:ℤ)-1 := by omega
have hrcast : ((r-1:ℕ):ℤ)=(r:ℤ)-1 := by omega
rw [hhcast,hrcast]
omega
· have he := congrArg List.reverse hwr
simpa only [← rawWord_reverse,List.reverse_reverse] using he
def terminalDeficit (w : List Letter) : ℕ := (-(w.map Letter.increment).sum).toNat
/-- The only density estimate used is a sum of finite-prefix cylinders.
No integrability of the raw downcrossing length is asserted. -/
theorem stoppedWord_prefix_density_bound (P : Parameters) (h : ℕ) (w : List Letter)
(hwpos : 0<w.length) (hh : w.length<h) :
streamLaw P ℕ {x | (stoppedWord (firstDown h) x).take w.length=w} ≤
2*(terminalDeficit w:ℝ≥0∞)*wordWeight P w := by
let E : Set (ℕ → Letter) := {x | (stoppedWord (firstDown h) x).take w.length=w}
let r := terminalDeficit w
have hfin := firstDown_finite P h (by omega)
by_cases hr : r=0
· have he : E=ᵐ[streamLaw P ℕ] (∅ : Set (ℕ → Letter)) := by
filter_upwards [hfin] with x hx
change ((stoppedWord (firstDown h) x).take w.length=w)=False
apply propext
simp only [iff_false]
intro hw
obtain ⟨t,ht⟩ := WithTop.ne_top_iff_exists.mp hx
obtain ⟨s,n,hs,hseq,_,_⟩ := stoppedWord_suffix_witness hwpos hh ht.symm hw
have hsr : s=r := by dsimp [r,terminalDeficit]; omega
omega
rw [measure_congr he,measure_empty]
exact bot_le
· have hrpos : 0<r := Nat.pos_of_ne_zero hr
let C : ℕ → Set (ℕ → Letter) := fun n => rawKilled (h-1) (r-1) n ∩ {x | rawWord (tail n x) w.length=w.reverse}
have he : E ≤ᵐ[streamLaw P ℕ] ⋃ n,C n := by
filter_upwards [hfin] with x hx hw
obtain ⟨t,ht⟩ := WithTop.ne_top_iff_exists.mp hx
obtain ⟨s,n,hs,hseq,hk,hw'⟩ := stoppedWord_suffix_witness hwpos hh ht.symm hw
have hsr : s=r := by dsimp [r,terminalDeficit]; omega
subst s
exact Set.mem_iUnion.mpr ⟨n,hk,hw'⟩
have hc (n : ℕ) : streamLaw P ℕ (C n)=ENNReal.ofReal (SimpleWalk.killed n (h-1) (r-1))*wordWeight P w := by
simpa only [C,List.length_reverse,wordWeight_reverse] using rawKilled_block_rectangle P (h-1) (r-1) n w.reverse
calc
streamLaw P ℕ E ≤ streamLaw P ℕ (⋃ n,C n) := measure_mono_ae he
_ ≤ ∑' n,streamLaw P ℕ (C n) := measure_iUnion_le _
_ = (∑' n,ENNReal.ofReal (SimpleWalk.killed n (h-1) (r-1)))*wordWeight P w := by
simp_rw [hc]
rw [ENNReal.tsum_mul_right]
_ ≤ (2*(r:ℝ≥0∞))*wordWeight P w := by
apply mul_le_mul' ?_ le_rfl
rw [← ENNReal.ofReal_tsum_of_nonneg (fun n => SimpleWalk.killed_nonneg n (h-1) (r-1))
(SimpleWalk.killed_summable (h-1) (r-1))]
have hb := SimpleWalk.killed_green_bound (h-1) (r-1)
have he' : r-1+1=r := by omega
rw [he'] at hb
simpa only [ENNReal.ofReal_mul (by norm_num : 0 ≤ (2:ℝ)),ENNReal.ofReal_ofNat,ENNReal.ofReal_natCast] using ENNReal.ofReal_le_ofReal hb
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
def rightScanLaw (P : Parameters) : Measure (ℕ → Letter) :=
(naturalPiecesLaw (reverseRightLaw P)).map pieceScan
instance (P : Parameters) : IsProbabilityMeasure (rightScanLaw P) :=
inferInstanceAs (IsProbabilityMeasure ((naturalPiecesLaw (reverseRightLaw P)).map pieceScan))
lemma rightScan_cylinder_bound (P : Parameters) (w : List Letter) (hw : 0<w.length) :
rightScanLaw P {x | rawWord x w.length=w} ≤
2*(terminalDeficit w:ℝ≥0∞)*wordWeight P w := by
rw [rightScanLaw,Measure.map_apply pieceScan_measurable (measurableSet_eq_fun (rawWord_measurable _) measurable_const)]
have he : pieceScan ⁻¹' {x | rawWord x w.length=w}=ᵐ[naturalPiecesLaw (reverseRightLaw P)]
{x | (piecesPrefix x (w.length+1)).take w.length=w} := by
filter_upwards [rightPieces_nonempty P] with x hx
change (rawWord (pieceScan x) w.length=w)=((piecesPrefix x (w.length+1)).take w.length=w)
rw [rawWord_pieceScan hx (Nat.le_succ _)]
rw [measure_congr he]
have hi := (rightPrefix_identDistrib P w.length).comp
(measurable_of_countable (fun v : List Letter => v.take w.length))
have hh := hi.measure_mem_eq (measurableSet_singleton w)
change streamLaw P ℕ {x | (stoppedWord (firstDown (w.length+1)) x).take w.length=w}=
naturalPiecesLaw (reverseRightLaw P) {x | (piecesPrefix x (w.length+1)).take w.length=w} at hh
rw [← hh]
exact stoppedWord_prefix_density_bound P (w.length+1) w hw (Nat.lt_succ_self _)
lemma rightScan_first_order (P : Parameters) : ∀ᵐ x ∂rightScanLaw P,∃ o,x 0=Letter.order o := by
have hz (b : Bool) : rightScanLaw P {x | x 0=Letter.burger b}=0 := by
have hh := rightScan_cylinder_bound P [Letter.burger b] (by simp)
have he : {x : ℕ → Letter | rawWord x [Letter.burger b].length=[Letter.burger b]}={x | x 0=Letter.burger b} := by
ext x; simp [rawWord,rawPrefix,List.ofFn_succ]
rw [he] at hh
simpa [terminalDeficit,Letter.increment] using hh
have htrue : ∀ᵐ x ∂rightScanLaw P,x 0≠Letter.burger true := by exact ae_iff.mpr (by simpa only [not_not] using hz true)
have hfalse : ∀ᵐ x ∂rightScanLaw P,x 0≠Letter.burger false := by exact ae_iff.mpr (by simpa only [not_not] using hz false)
filter_upwards [htrue,hfalse] with x ht hf
cases h : x 0 with
| burger b => cases b <;> contradiction
| order o => exact ⟨o,rfl⟩
def rightRemainderLaw (P : Parameters) : Measure (ℕ → Letter) := (rightScanLaw P).map (tail 1)
instance (P : Parameters) : IsProbabilityMeasure (rightRemainderLaw P) :=
inferInstanceAs (IsProbabilityMeasure ((rightScanLaw P).map (tail 1)))
lemma rawWord_succ_head (x : ℕ → Letter) (n : ℕ) :
rawWord x (n+1)=x 0::rawWord (tail 1 x) n := by
simp only [rawWord,rawPrefix,List.ofFn_succ]
congr 2
funext i
dsimp [rawPrefix,tail]
congr 1
omega
lemma wordWeight_cons (P : Parameters) (a : Letter) (w : List Letter) :
wordWeight P (a::w)=(law P).toMeasure {a}*wordWeight P w := by simp [wordWeight]
lemma terminalDeficit_order (o : Option Bool) (w : List Letter) :
terminalDeficit (Letter.order o::w)=(1-(w.map Letter.increment).sum).toNat := by
simp only [terminalDeficit,List.map_cons,List.sum_cons,Letter.increment]
congr 1; omega
lemma order_mass_sum (P : Parameters) : ∑ o : Option Bool,(law P).toMeasure {Letter.order o}=(2:ℝ≥0∞)⁻¹ := by
simp only [law_singleton,Fintype.sum_option,Fintype.sum_bool,mass]
rw [← ENNReal.ofReal_add (by linarith [P.upper]) (by linarith [P.upper]),
← ENNReal.ofReal_add (by linarith [P.pos]) (by linarith [P.upper])]
norm_num [show P.p/2+((1-P.p)/4+(1-P.p)/4)=(1:ℝ)/2 by ring,ENNReal.ofReal_div_of_pos]
theorem rightRemainder_cylinder_bound (P : Parameters) (w : List Letter) :
rightRemainderLaw P {x | rawWord x w.length=w} ≤
((1-(w.map Letter.increment).sum).toNat:ℝ≥0∞)*wordWeight P w := by
rw [rightRemainderLaw,Measure.map_apply (measurable_tail 1) (measurableSet_eq_fun (rawWord_measurable _) measurable_const)]
have he : tail 1 ⁻¹' {x | rawWord x w.length=w}=ᵐ[rightScanLaw P]
⋃ o : Option Bool,{x | rawWord x (w.length+1)=Letter.order o::w} := by
filter_upwards [rightScan_first_order P] with x hx
obtain ⟨o,ho⟩ := hx
change (rawWord (tail 1 x) w.length=w)=(x∈⋃ o : Option Bool,{x | rawWord x (w.length+1)=Letter.order o::w})
apply propext
rw [Set.mem_iUnion]
change _ ↔ ∃ o : Option Bool,rawWord x (w.length+1)=Letter.order o::w
simp only [rawWord_succ_head,ho,List.cons.injEq]
exact ⟨fun h => ⟨o,rfl,h⟩,fun ⟨_,_,h⟩ => h⟩
rw [measure_congr he]
calc
rightScanLaw P (⋃ o : Option Bool,{x | rawWord x (w.length+1)=Letter.order o::w})
≤ ∑ o : Option Bool,rightScanLaw P {x | rawWord x (w.length+1)=Letter.order o::w} := by
simpa only [tsum_fintype] using measure_iUnion_le (fun o : Option Bool => {x | rawWord x (w.length+1)=Letter.order o::w})
_ ≤ ∑ o : Option Bool,2*((1-(w.map Letter.increment).sum).toNat:ℝ≥0∞)*((law P).toMeasure {Letter.order o}*wordWeight P w) := by
apply Finset.sum_le_sum
intro o _
simpa only [List.length_cons,terminalDeficit_order,wordWeight_cons] using
rightScan_cylinder_bound P (Letter.order o::w) (by simp)
_ = ((1-(w.map Letter.increment).sum).toNat:ℝ≥0∞)*wordWeight P w := by
rw [← Finset.mul_sum,← Finset.sum_mul,order_mass_sum]
calc
_ = ((2:ℝ≥0∞)*2⁻¹)*(((1-(w.map Letter.increment).sum).toNat:ℝ≥0∞)*wordWeight P w) := by ring
_ = _ := by rw [ENNReal.mul_inv_cancel (by norm_num) (by norm_num),one_mul]
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
lemma rawFiltration_eq_comap (n : ℕ) : rawFiltration n=(inferInstance : MeasurableSpace (Fin (n+1) → Letter)).comap (rawPrefix (n+1)) := by
apply le_antisymm
· change (⨆ k ≤ n,MeasurableSpace.comap (fun x : ℕ → Letter => x k) inferInstance) ≤ _
apply iSup_le
intro k
apply iSup_le
intro hk
have hm : Measurable[(inferInstance : MeasurableSpace (Fin (n+1) → Letter)).comap (rawPrefix (n+1))]
(fun x : ℕ → Letter => x k) := by
exact (measurable_pi_apply (⟨k,by omega⟩ : Fin (n+1))).comp (comap_measurable (rawPrefix (n+1)))
exact hm.comap_le
· exact (prefix_measurable n id).comap_le
lemma rawPrefix_atom (n : ℕ) (d : Fin n → Letter) :
{x : ℕ → Letter | rawWord x n=List.ofFn d}=rawPrefix n ⁻¹' {d} := by
ext x
simp only [rawWord,Set.mem_ofPred_eq,Set.mem_preimage,Set.mem_singleton_iff,List.ofFn_inj]
lemma rightRemainder_prefix_bound (P : Parameters) (n : ℕ) (d : Fin n → Letter) :
rightRemainderLaw P (rawPrefix n ⁻¹' {d}) ≤
((1-(∑ i,(d i).increment:ℤ)).toNat:ℝ≥0∞)*streamLaw P ℕ (rawPrefix n ⁻¹' {d}) := by
have hh := rightRemainder_cylinder_bound P (List.ofFn d)
rw [List.length_ofFn,rawPrefix_atom] at hh
rw [← rawWord_cylinder P (List.ofFn d),List.length_ofFn,rawPrefix_atom] at hh
simpa only [List.map_ofFn,List.sum_ofFn,Function.comp_apply] using hh
lemma rightRemainder_prefix_event (P : Parameters) (n : ℕ) (A : Set (Fin n → Letter)) :
rightRemainderLaw P (rawPrefix n ⁻¹' A) ≤
∫⁻ x in rawPrefix n ⁻¹' A,((1-signSum x n).toNat:ℝ≥0∞) ∂streamLaw P ℕ := by
classical
let D : (Fin n → Letter) → ℝ≥0∞ := fun d => ((1-(∑ i,(d i).increment:ℤ)).toNat:ℝ≥0∞)
have hn : MeasurableSet A := (Set.to_countable _).measurableSet
have he : rawPrefix n ⁻¹' A=⋃ d : Fin n → Letter,if d∈A then rawPrefix n ⁻¹' {d} else ∅ := by
ext x
simp only [Set.mem_preimage,Set.mem_iUnion]
constructor
· intro hx; exact ⟨rawPrefix n x,by simp [hx]⟩
· rintro ⟨d,hd⟩
split_ifs at hd with h
· have hd' : rawPrefix n x=d := hd; rwa [hd']
· exact hd.elim
calc
rightRemainderLaw P (rawPrefix n ⁻¹' A) ≤
∑ d : Fin n → Letter,if d∈A then rightRemainderLaw P (rawPrefix n ⁻¹' {d}) else 0 := by
rw [he]
simpa only [tsum_fintype,apply_ite,measure_empty] using
measure_iUnion_le (fun d : Fin n → Letter => if d∈A then rawPrefix n ⁻¹' {d} else ∅) (μ := rightRemainderLaw P)
_ ≤ ∑ d : Fin n → Letter,(A.indicator D d)*streamLaw P ℕ (rawPrefix n ⁻¹' {d}) := by
apply Finset.sum_le_sum
intro d _
by_cases hd : d∈A
· simpa only [hd,ite_eq_left,Set.indicator_of_mem] using rightRemainder_prefix_bound P n d
· simp only [ite_eq_right hd]; exact bot_le
_ = ∫⁻ d,A.indicator D d ∂(streamLaw P ℕ).map (rawPrefix n) := by
rw [lintegral_fintype]
apply Finset.sum_congr rfl
intro d _
rw [Measure.map_apply (rawPrefix_measurable n) (measurableSet_singleton d)]
_ = ∫⁻ x in rawPrefix n ⁻¹' A,((1-signSum x n).toNat:ℝ≥0∞) ∂streamLaw P ℕ := by
rw [lintegral_map (measurable_of_countable _) (rawPrefix_measurable n),← lintegral_indicator ((rawPrefix_measurable n) hn)]
apply lintegral_congr
intro x
by_cases hx : rawPrefix n x∈A
· simp only [Set.indicator_of_mem hx,Set.indicator_of_mem (show x∈rawPrefix n ⁻¹' A from hx),D,rawPrefix]
rw [Fin.sum_univ_eq_sum_range (fun i => (x i).increment) n]
rfl
· simp only [Set.indicator_of_notMem hx,Set.indicator_of_notMem (show x∉rawPrefix n ⁻¹' A from hx)]
lemma K_signSum_of_hit {x : ℕ → Letter} {n : ℕ} (hx : firstSurvivor x=WithTop.some n) :
(1-signSum x (n+1)).toNat=K x := by
obtain ⟨b,hb,_⟩ := firstSurvivor_shape hx
have hh := reduce_imbalance (revealed x (n+1))
rw [hb,imbalance,revealed_sum] at hh
simp only [List.length_singleton,Nat.cast_one] at hh
rw [K_of_hit hx,hb]
change (1-signSum x (n+1)).toNat=(reduce (revealed x n)).orders.length
change 1-((reduce (revealed x n)).orders.length:ℤ)=signSum x (n+1) at hh
omega
theorem rightRemainder_hit_bound (P : Parameters) (n : ℕ) :
rightRemainderLaw P {x | firstSurvivor x=WithTop.some n} ≤
∫⁻ x in {x | firstSurvivor x=WithTop.some n},(K x:ℝ≥0∞) ∂streamLaw P ℕ := by
have he := firstSurvivor_stopping.measurableSet_eq n
rw [rawFiltration_eq_comap,MeasurableSpace.measurableSet_comap] at he
obtain ⟨A,_,hA⟩ := he
have hb := rightRemainder_prefix_event P (n+1) A
rw [hA] at hb
refine hb.trans_eq ?_
apply setLIntegral_congr_fun (rawFiltration.le n _ (firstSurvivor_stopping.measurableSet_eq n))
intro x hx
exact congrArg (fun k : ℕ => (k:ℝ≥0∞)) (K_signSum_of_hit hx)
theorem rightRemainder_survivor_bound (P : Parameters) :
rightRemainderLaw P {x | firstSurvivor x≠⊤} ≤ ∫⁻ x,(K x:ℝ≥0∞) ∂streamLaw P ℕ := by
have he : {x : ℕ → Letter | firstSurvivor x≠⊤}=⋃ n : ℕ,{x | firstSurvivor x=WithTop.some n} := by
ext x; simp only [Set.mem_ofPred_eq,Set.mem_iUnion]
exact WithTop.ne_top_iff_exists.trans (by simp only [eq_comm])
have hm (n : ℕ) : MeasurableSet {x : ℕ → Letter | firstSurvivor x=WithTop.some n} :=
rawFiltration.le n _ (firstSurvivor_stopping.measurableSet_eq n)
calc
rightRemainderLaw P {x | firstSurvivor x≠⊤} ≤ ∑' n : ℕ,rightRemainderLaw P {x | firstSurvivor x=WithTop.some n} := by rw [he]; exact measure_iUnion_le _
_ ≤ ∑' n : ℕ,∫⁻ x in {x | firstSurvivor x=WithTop.some n},(K x:ℝ≥0∞) ∂streamLaw P ℕ := ENNReal.tsum_le_tsum (rightRemainder_hit_bound P)
_ = ∫⁻ x in {x | firstSurvivor x≠⊤},(K x:ℝ≥0∞) ∂streamLaw P ℕ := by
rw [he,lintegral_iUnion hm]
intro i j hij
exact Set.disjoint_left.mpr (fun x hi hj => hij (WithTop.coe_injective (hi.symm.trans hj)))
_ ≤ ∫⁻ x,(K x:ℝ≥0∞) ∂streamLaw P ℕ := setLIntegral_le_lintegral _ _
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
def RightCut (x : ℕ → List Letter) : Prop := ∀ n,(reduce (piecesPrefix x n).reverse).burgers=[]
lemma measurableSet_rightCut : MeasurableSet {x | RightCut x} := by
simp only [RightCut,Set.ofPred_forall]
apply MeasurableSet.iInter
intro n
exact (piecesPrefix_measurable n) (Set.to_countable {w : List Letter | (reduce w.reverse).burgers=[]}).measurableSet
lemma rawWord_pieceScan_prefix {x : ℕ → List Letter} (hx : NonemptyPieces x) (n : ℕ) :
rawWord (pieceScan x) (piecesPrefix x n).length=piecesPrefix x n := by
let m := (piecesPrefix x n).length
rw [rawWord_pieceScan hx (show m ≤ n+m by omega)]
obtain ⟨w,hw⟩ := piecesPrefix_extension x (show n ≤ n+m by omega)
rw [hw]
exact List.take_left' rfl
lemma noSurvivor_burgers {x : ℕ → Letter} (hx : firstSurvivor x=⊤) (n : ℕ) :
(reduce (revealed x n)).burgers=[] := by
cases n with
| zero => simp [revealed_zero,reduce,run]
| succ n =>
by_contra h
have hh := (firstSurvivor_le_iff x n).mpr h
rw [hx] at hh
exact WithTop.not_top_le_coe n hh
lemma append_order_no_burgers {w : List Letter} (hw : (reduce w).burgers=[]) (o : Option Bool) :
(reduce (w++[Letter.order o])).burgers=[] := by
change (run (w++[Letter.order o]) ⟨[],[]⟩).burgers=[]
rw [run_append]
change (step (reduce w) (Letter.order o)).burgers=[]
simp only [step,hw,pop]
lemma remainder_noSurvivor_implies_cut {x : ℕ → List Letter} (hx : NonemptyPieces x)
(ho : ∃ o,pieceScan x 0=Letter.order o) (hs : firstSurvivor (tail 1 (pieceScan x))=⊤) : RightCut x := by
intro n
rw [← rawWord_pieceScan_prefix hx n,rawWord_reverse]
let m := (piecesPrefix x n).length
change (reduce (revealed (pieceScan x) m)).burgers=[]
cases m with
| zero => simp [revealed_zero,reduce,run]
| succ m =>
obtain ⟨o,ho⟩ := ho
rw [show m+1=1+m by omega,revealed_add]
have he : revealed (pieceScan x) 1=[Letter.order o] := by simp [revealed,List.ofFn_succ,ho]
rw [he]
exact append_order_no_burgers (noSurvivor_burgers hs m) o
lemma K_lintegral_lt_one (P : Parameters) : (∫⁻ x,(K x:ℝ≥0∞) ∂streamLaw P ℕ)<1 := by
have he := ofReal_integral_eq_lintegral_ofReal (integrable_K P)
(Filter.Eventually.of_forall (fun x => Nat.cast_nonneg (K x)))
simp only [ENNReal.ofReal_natCast] at he
rw [← he]
exact_mod_cast (ENNReal.ofReal_lt_ofReal_iff (by norm_num : (0:ℝ)<1)).mpr (integral_K_lt_one P)
lemma rightRemainder_noSurvivor_pos (P : Parameters) :
0<rightRemainderLaw P {x | firstSurvivor x=⊤} := by
have hlt := lt_of_le_of_lt (rightRemainder_survivor_bound P) (K_lintegral_lt_one P)
have hm : MeasurableSet {x | firstSurvivor x=⊤} := measurableSet_eq_fun measurable_firstSurvivor measurable_const
have he : {x | firstSurvivor x≠⊤}={x : ℕ → Letter | firstSurvivor x=⊤}ᶜ := rfl
rw [he,measure_compl hm (measure_ne_top _ _),measure_univ] at hlt
by_contra! hh
have hz := le_antisymm hh bot_le
rw [hz,tsub_zero] at hlt
exact lt_irrefl _ hlt
theorem positive_rightCut (P : Parameters) :
0<naturalPiecesLaw (reverseRightLaw P) {x | RightCut x} := by
have hm : MeasurableSet {x | firstSurvivor x=⊤} := measurableSet_eq_fun measurable_firstSurvivor measurable_const
have hpos := rightRemainder_noSurvivor_pos P
rw [rightRemainderLaw,Measure.map_apply (measurable_tail 1) hm,
rightScanLaw,Measure.map_apply pieceScan_measurable ((measurable_tail 1) hm)] at hpos
refine hpos.trans_le (measure_mono_ae ?_)
have ho : ∀ᵐ x ∂naturalPiecesLaw (reverseRightLaw P),∃ o,pieceScan x 0=Letter.order o := by
exact (ae_map_iff pieceScan_measurable.aemeasurable (by
simp only [Set.ofPred_exists]
exact MeasurableSet.iUnion (fun o => measurableSet_eq_fun (measurable_pi_apply 0) measurable_const))).mp (rightScan_first_order P)
filter_upwards [rightPieces_nonempty P,ho] with x hx ho hs
exact remainder_noSurvivor_implies_cut hx ho hs
end FKCRT.Inventory
end
noncomputable section
open Set Filter MeasureTheory ProbabilityTheory
open scoped Topology BigOperators ENNReal NNReal
namespace FKCRT.Inventory
lemma orders_step_sublist (a : Letter) (e : Evaluation) : e.orders.Sublist (step e a).orders := by
cases a with
| burger b => exact List.Sublist.refl _
| order o => cases h : pop o e.burgers <;> simp [step,h]
lemma orders_run_sublist (w : List Letter) (e : Evaluation) : e.orders.Sublist (run w e).orders := by
induction w generalizing e with
| nil => exact List.Sublist.refl _
| cons a w ih => exact (orders_step_sublist a e).trans (ih _)
def LeftCut (x : ℕ → List Letter) : Prop := ∀ n,(reduce (piecesPrefix x n)).orders=[]
lemma measurable_piecesPrefix (n : ℕ) : Measurable (fun x : ℕ → List Letter => piecesPrefix x n) := by
induction n with
| zero => exact measurable_const
| succ n ih =>
exact (measurable_of_countable (fun z : List Letter × List Letter => z.1++z.2)).comp (ih.prodMk (measurable_pi_apply n))
lemma measurableSet_leftCut : MeasurableSet {x | LeftCut x} := by
simp only [LeftCut,Set.ofPred_forall]
exact MeasurableSet.iInter (fun n => (measurable_piecesPrefix n)
((Set.to_countable {w : List Letter | (reduce w).orders=[]}).measurableSet))
def supplyPieces (K : ℕ) : List (List Letter) :=
List.replicate K [Letter.burger false]++List.replicate K [Letter.burger true]
def startingSupply (K : ℕ) : List Bool := List.replicate K true++List.replicate K false
lemma supplyPieces_flatten (K : ℕ) : (supplyPieces K).flatten=(startingSupply K).reverse.map Letter.burger := by
have hh (b : Bool) : (List.replicate K [Letter.burger b]).flatten=List.replicate K (Letter.burger b) := by
induction K with
| zero => rfl
| succ K ih => simp [List.replicate_succ,ih]
simp [supplyPieces,startingSupply,hh]
lemma run_supplyPieces (K : ℕ) : run (supplyPieces K).flatten ⟨[],[]⟩=⟨[],startingSupply K⟩ := by
rw [supplyPieces_flatten,run_burgers]
simp
lemma startingSupply_count (K : ℕ) (b : Bool) : (startingSupply K).count b=K := by
cases b <;> simp [startingSupply,List.count_replicate]
lemma supplyPieces_mem {K : ℕ} {w : List Letter} (h : w∈supplyPieces K) :
w=[Letter.burger false] ∨ w=[Letter.burger true] := by
rcases List.mem_append.mp h with h | h
· exact Or.inl (List.mem_replicate.mp h).2
· exact Or.inr (List.mem_replicate.mp h).2
lemma leftCut_of_buffer_prefix {x : ℕ → List Letter} {K : ℕ}
(hc : x∈pieceCylinder (supplyPieces K))
(hf : ∀ n,FixedWord (piecesTail (supplyPieces K).length x n))
(hb : PieceBuffer K (piecesTail (supplyPieces K).length x)) : LeftCut x := by
have he : reduce (piecesPrefix x (supplyPieces K).length)=⟨[],startingSupply K⟩ := by
rw [piecesPrefix_of_cylinder hc]
exact run_supplyPieces K
intro n
by_cases hn : (supplyPieces K).length ≤ n
· obtain ⟨r,rfl⟩ := Nat.exists_eq_add_of_le hn
rw [piecesPrefix_add,reduce,run_append]
change (run (piecesPrefix (piecesTail (supplyPieces K).length x) r)
(reduce (piecesPrefix x (supplyPieces K).length))).orders=[]
rw [he]
exact (run_pieces_buffer hf hb (fun b => (startingSupply_count K b).ge) r).1
· have hle : n ≤ (supplyPieces K).length := by omega
obtain ⟨r,hr⟩ := Nat.exists_eq_add_of_le hle
have hh := orders_run_sublist (piecesPrefix (piecesTail n x) r) (reduce (piecesPrefix x n))
have he' := he
rw [hr,piecesPrefix_add,reduce,run_append] at he'
change run (piecesPrefix (piecesTail n x) r) (reduce (piecesPrefix x n))=⟨[],startingSupply K⟩ at he'
rw [he'] at hh
exact List.sublist_nil.mp hh
lemma iid_all_fixed (ν : Measure (List Letter)) [IsProbabilityMeasure ν]
(hf : ∀ᵐ w ∂ν,FixedWord w) : ∀ᵐ x ∂naturalPiecesLaw ν,∀ n,FixedWord (x n) := by
apply ae_all_iff.mpr
intro n
exact (measurePreserving_eval_infinitePi (fun _ : ℕ => ν) n).quasiMeasurePreserving.ae hf
/-- Positive L-cut probability using only shortened-piece integrability,
positive type-drift and the two genuine one-burger atoms. -/
theorem positive_leftCut_general (ν : Measure (List Letter)) [IsProbabilityMeasure ν]
(hlen : Integrable (fun w : List Letter => (w.length:ℝ)) ν)
(hnet : ∀ b,Integrable (fun w => (typeNet b w:ℝ)) ν)
(hmean : ∀ b,(∫ w,(typeNet b w:ℝ) ∂ν)=1/2)
(hf : ∀ᵐ w ∂ν,FixedWord w)
(hburger : ∀ b,0<ν {[Letter.burger b]}) :
0<naturalPiecesLaw ν {x | LeftCut x} := by
obtain ⟨K,hK⟩ := positive_piece_buffer_probability ν hlen hnet hmean
let B : Set (ℕ → List Letter) := {x | PieceBuffer K x ∧ ∀ n,FixedWord (x n)}
have hFm : MeasurableSet {x : ℕ → List Letter | ∀ n,FixedWord (x n)} := by
simp only [Set.ofPred_forall]
exact MeasurableSet.iInter (fun n => (show Measurable (fun x : ℕ → List Letter => x n) from measurable_pi_apply n)
((Set.to_countable {w : List Letter | FixedWord w}).measurableSet))
have hBm : MeasurableSet B := (measurableSet_pieceBuffer K).inter hFm
have hBp : 0<naturalPiecesLaw ν B := by
have he : B =ᵐ[naturalPiecesLaw ν] {x | PieceBuffer K x} := by
filter_upwards [iid_all_fixed ν hf] with x hx
exact propext (and_iff_left hx)
rwa [measure_congr he]
have hC : 0<naturalPiecesLaw ν (pieceCylinder (supplyPieces K)) := by
apply pieceCylinder_positive ν
intro w hw
rcases supplyPieces_mem hw with rfl | rfl
· exact hburger false
· exact hburger true
have hpos : 0<naturalPiecesLaw ν (pieceCylinder (supplyPieces K) ∩ piecesTail (supplyPieces K).length ⁻¹' B) := by
rw [pieceCylinder_tail_rectangle ν _ hBm]
exact ENNReal.mul_pos hC.ne' hBp.ne'
apply hpos.trans_le
apply measure_mono
rintro x ⟨hc,hb⟩
exact leftCut_of_buffer_prefix hc hb.2 hb.1
/-- Source ladder:cuts, L side, for the actual shortened first +1 pieces. -/
theorem shortLeft_positive_cut (P : Parameters) :
0<naturalPiecesLaw (shortLeftLaw P) {x | LeftCut x} :=
positive_leftCut_general (shortLeftLaw P) (shortLeftLaw_length_integrable P)
(shortLeftLaw_typeNet_integrable P) (shortLeftLaw_typeNet_mean P) (shortLeftLaw_fixed P)
(shortLeftLaw_burger_positive P)
end FKCRT.Inventory
end
end OAI