openAI-math-dataset / lean /OAI /NumberTheory /Jacobsthal /Probability /MarkedCostHitReduction.lean
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import Mathlib.Data.List.OfFn
import OAI.NumberTheory.Jacobsthal.Paths.WindowHitWords
namespace OAI
namespace Erdos970
section
namespace Erdos970Dependency.MarkedVisits
open Filter Set MeasureTheory ProbabilityTheory
open scoped ProbabilityTheory ENNReal Classical
open NumberTheoryLean.PairedCostProcess
noncomputable def allowedCycleInputs (b : Bool) (v H : ℝ) : Set OddCost :=
Prod.snd ⁻¹' allowedCycleCosts b v H
lemma allowedCycleInputs_measurable (b : Bool) (v H : ℝ) : MeasurableSet (allowedCycleInputs b v H) :=
(allowedCycleCosts_measurable b v H).preimage measurable_snd
noncomputable def permittedCycleBranch (b : Bool) (v H : ℝ) : Kernel OddCost OddCost :=
cycleBranchKernel b ∘ₖ stateFilter (allowedCycleInputs_measurable b v H)
instance permittedCycleBranch_isFiniteKernel (b : Bool) (v H : ℝ) : IsFiniteKernel (permittedCycleBranch b v H) := by
unfold permittedCycleBranch
infer_instance
lemma permittedCycleBranch_false (v H : ℝ) : permittedCycleBranch false v H=cycleBranchKernel false := by
ext z : 1
rw [permittedCycleBranch,stateFilter_input]
simp [allowedCycleInputs,allowedCycleCosts]
lemma permittedCycleBranch_true (v H : ℝ) :
permittedCycleBranch true v H=cycleBranchKernel true ∘ₖ stateFilter (ordinaryCostWindow_measurable v H).compl := rfl
lemma permittedCycleBranch_sum (v H : ℝ) : (∑ b : Bool, permittedCycleBranch b v H)=ordinaryWindowContinue v H := by
rw [Fintype.sum_bool,permittedCycleBranch_false,permittedCycleBranch_true,ordinaryWindowContinue,add_comm]
noncomputable def sourceHitWordKernel : List Bool → ℝ → ℝ → Kernel OddCost OddCost
| [], v, H => ordinaryWindowCapture v H
| b::w, v, H => sourceHitWordKernel w v H ∘ₖ permittedCycleBranch b v H
instance sourceHitWordKernel_isFiniteKernel (w : List Bool) (v H : ℝ) : IsFiniteKernel (sourceHitWordKernel w v H) := by
induction w with
| nil => change IsFiniteKernel (ordinaryWindowCapture v H); infer_instance
| cons b w ih => rw [sourceHitWordKernel]; infer_instance
lemma sourceHitWordKernel_mass (w : List Bool) (v H : ℝ) : ∀ z,
sourceHitWordMass w v H z=sourceHitWordKernel w v H z univ := by
induction w with
| nil => intro z; exact sourceHitWordMass_nil v H z
| cons b w ih =>
intro z
rw [sourceHitWordMass_cons,sourceHitWordKernel,permittedCycleBranch,← Kernel.comp_assoc,stateFilter_input]
change (if z.2 ∈ allowedCycleCosts b v H then ∫⁻ y, sourceHitWordMass w v H y ∂cycleBranchKernel b z else 0) =
(if z.2 ∈ allowedCycleCosts b v H then (sourceHitWordKernel w v H ∘ₖ cycleBranchKernel b) z else 0) univ
by_cases hz : z.2 ∈ allowedCycleCosts b v H
· rw [ite_eq_left hz,ite_eq_left hz,Kernel.comp_apply' _ _ _ MeasurableSet.univ]
exact lintegral_congr ih
· simp [hz]
lemma kernel_comp_finset_sum_left {ι α β γ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ]
(s : Finset ι) (K : ι → Kernel α β) (D : Kernel γ α) :
(∑ i ∈ s, K i) ∘ₖ D = ∑ i ∈ s, K i ∘ₖ D := by
classical
induction s using Finset.induction_on with
| empty => simp
| @insert i s hi ih => simp only [Finset.sum_insert hi,Kernel.comp_add_left,ih]
lemma kernel_comp_finset_sum_right {ι α β γ : Type*} [MeasurableSpace α] [MeasurableSpace β] [MeasurableSpace γ]
(s : Finset ι) (K : Kernel β γ) (D : ι → Kernel α β) :
K ∘ₖ (∑ i ∈ s, D i) = ∑ i ∈ s, K ∘ₖ D i := by
classical
induction s using Finset.induction_on with
| empty => simp
| @insert i s hi ih => simp only [Finset.sum_insert hi,Kernel.comp_add_right,ih]
theorem sourceHitWordKernel_sum_length (v H : ℝ) (n : ℕ) :
(∑ f : Fin n → Bool, sourceHitWordKernel (List.ofFn f) v H) =
ordinaryWindowCapture v H ∘ₖ ((ordinaryWindowContinue v H)^n) := by
induction n with
| zero =>
simp [List.ofFn_zero,sourceHitWordKernel]
exact (Kernel.comp_id _).symm
| succ n ih =>
rw [← (Fin.consEquiv (fun _ : Fin (n+1) => Bool)).sum_comp
(fun f => sourceHitWordKernel (List.ofFn f) v H)]
simp only [Fintype.sum_prod_type]
change (∑ b : Bool, ∑ f : Fin n → Bool, sourceHitWordKernel (List.ofFn (Fin.cons b f)) v H) = _
simp_rw [List.ofFn_cons,sourceHitWordKernel]
simp_rw [← kernel_comp_finset_sum_left,ih]
rw [← kernel_comp_finset_sum_right,permittedCycleBranch_sum,pow_succ]
exact Kernel.comp_assoc _ _ _
end Erdos970Dependency.MarkedVisits
end
section
namespace Erdos970Dependency.MarkedVisits
open Filter Set MeasureTheory ProbabilityTheory
open scoped ProbabilityTheory ENNReal Classical
open NumberTheoryLean.PairedCostProcess NumberTheoryLean.PairedCostGrouping
open NumberTheoryLean.KernelPotential
abbrev RawMarkedHitTrace (a : ℕ) :=
Σ n : ℕ, Σ f : Fin n → Bool, RawCycleWordTrace a (List.ofFn f++[true]).length
def packRawMarkedHitTrace (a n : ℕ) (f : Fin n → Bool)
(t : RawCycleWordTrace a (List.ofFn f++[true]).length) : RawMarkedHitTrace a :=
@Sigma.mk ℕ (fun m => Σ g : Fin m → Bool, RawCycleWordTrace a (List.ofFn g++[true]).length) n
(@Sigma.mk (Fin n → Bool) (fun g => RawCycleWordTrace a (List.ofFn g++[true]).length) f t)
lemma packRawMarkedHitTrace_measurable (a n : ℕ) (f : Fin n → Bool) :
Measurable (packRawMarkedHitTrace a n f) :=
(measurableSigmaMk (X := fun m : ℕ => Σ g : Fin m → Bool, RawCycleWordTrace a (List.ofFn g++[true]).length) n).comp
(measurableSigmaMk (X := fun g : Fin n → Bool => RawCycleWordTrace a (List.ofFn g++[true]).length) f)
noncomputable def rawMarkedFirstHitKernel (a : ℕ) (v H : ℝ) : Kernel (RawHistory a) (RawMarkedHitTrace a) :=
Kernel.sum (fun n : ℕ => Kernel.sum (fun f : Fin n → Bool =>
(rawHitWordKernel a (List.ofFn f) v H).map (packRawMarkedHitTrace a n f)))
instance rawMarkedFirstHitKernel_isSFiniteKernel (a : ℕ) (v H : ℝ) : IsSFiniteKernel (rawMarkedFirstHitKernel a v H) := by
unfold rawMarkedFirstHitKernel
infer_instance
theorem rawMarkedFirstHit_mass (a : ℕ) (v H : ℝ) (h : RawHistory a) (z : OddCost)
(hz : rawLast a h=embedOdd z) :
rawMarkedFirstHitKernel a v H h univ=ordinaryMarkedHit v H z univ := by
rw [rawMarkedFirstHitKernel,Kernel.sum_apply' _ _ MeasurableSet.univ,
ordinaryMarkedHit,potential,Kernel.sum_apply' _ _ MeasurableSet.univ]
apply tsum_congr
intro n
rw [Kernel.sum_apply' _ _ MeasurableSet.univ]
calc
_ = ∑' f : Fin n → Bool, sourceHitWordKernel (List.ofFn f) v H z univ := by
apply tsum_congr
intro f
rw [Kernel.map_apply' _ (packRawMarkedHitTrace_measurable a n f) _ MeasurableSet.univ,
preimage_univ,rawHitWord_mass a (List.ofFn f) v H h z hz,sourceHitWordKernel_mass]
_ = (∑ f : Fin n → Bool, sourceHitWordKernel (List.ofFn f) v H) z univ := by
rw [tsum_fintype,Kernel.finsetSum_apply']
_ = _ := by rw [sourceHitWordKernel_sum_length]
noncomputable def rawMarkedHitEvent (a : ℕ) (v H : ℝ) : Set (RawMarkedHitTrace a) :=
{r | rawCycleWordSignature a (List.ofFn r.2.1++[true]).length r.2.2 ∈ hitWordEvent (List.ofFn r.2.1) v H}
lemma rawMarkedHitEvent_measurable (a : ℕ) (v H : ℝ) : MeasurableSet (rawMarkedHitEvent a v H) := by
apply MeasurableSpace.measurableSet_iInf.mpr
intro n
apply MeasurableSpace.measurableSet_iInf.mpr
intro f
exact (hitWordEvent_measurable (List.ofFn f) v H).preimage (rawCycleWordSignature_measurable _ a)
theorem rawMarkedFirstHit_ae_event (a : ℕ) (v H : ℝ) (h : RawHistory a) :
∀ᵐ r ∂rawMarkedFirstHitKernel a v H h, r ∈ rawMarkedHitEvent a v H := by
rw [rawMarkedFirstHitKernel,Kernel.sum_apply,Measure.ae_sum_iff]
intro n
rw [Kernel.sum_apply,Measure.ae_sum_iff]
intro f
rw [Kernel.map_apply _ (packRawMarkedHitTrace_measurable a n f)]
apply (ae_map_iff (packRawMarkedHitTrace_measurable a n f).aemeasurable (rawMarkedHitEvent_measurable a v H)).mpr
rw [rawHitWordKernel,Kernel.restrict_apply]
exact ae_restrict_mem ((hitWordEvent_measurable (List.ofFn f) v H).preimage (rawCycleWordSignature_measurable _ a))
noncomputable def rawRegMarkedFirstHitKernel (a : ℕ) (v H : ℝ) : Kernel (RawHistory a) (RawMarkedHitTrace a) :=
rawMarkedFirstHitKernel a v H ∘ₖ stateFilter (lastRegeneration_measurable a)
lemma rawRegMarkedFirstHit_mass_le_one (a : ℕ) (v H : ℝ) (h : RawHistory a) :
rawRegMarkedFirstHitKernel a v H h univ ≤ 1 := by
rw [rawRegMarkedFirstHitKernel,stateFilter_input]
by_cases hReg : h ∈ lastRegeneration a
· rw [ite_eq_left hReg]
let z := decodeReturnedOdd (rawLast a h)
have hz : rawLast a h=embedOdd z := (embed_decodeReturnedOdd_of_regeneration _ hReg).symm
rw [rawMarkedFirstHit_mass a v H h z hz]
exact ordinaryMarkedHit_mass_le_one v H z
· simp [hReg]
instance rawRegMarkedFirstHitKernel_isFiniteKernel (a : ℕ) (v H : ℝ) : IsFiniteKernel (rawRegMarkedFirstHitKernel a v H) :=
⟨⟨1,by simp,rawRegMarkedFirstHit_mass_le_one a v H⟩⟩
end Erdos970Dependency.MarkedVisits
end
section
namespace Erdos970Dependency.MarkedVisits
open Filter Set MeasureTheory ProbabilityTheory
open scoped ProbabilityTheory ENNReal
open NumberTheoryLean.KernelPotential
variable {α β : Type*} [MeasurableSpace α] [MeasurableSpace β]
lemma kernel_power_sfinite (K : Kernel α α) [IsSFiniteKernel K] (n : ℕ) : IsSFiniteKernel (K^n) := by
induction n with
| zero => change IsSFiniteKernel (Kernel.id : Kernel α α); infer_instance
| succ n ih => rw [pow_succ']; change IsSFiniteKernel (K ∘ₖ (K^n)); infer_instance
lemma kernel_power_support (K : Kernel α α) [IsSFiniteKernel K] {S : Set α} (hS : MeasurableSet S)
(hK : ∀ x, ∀ᵐ y ∂K x, y ∈ S) (n : ℕ) (x : α) (hx : x ∈ S) :
∀ᵐ y ∂(K^n) x, y ∈ S := by
have (m : ℕ) : IsSFiniteKernel (K^m) := kernel_power_sfinite K m
cases n with
| zero => change ∀ᵐ y ∂Measure.dirac x, y ∈ S; exact (ae_dirac_iff hS).mpr hx
| succ n =>
rw [pow_succ']
change ∀ᵐ y ∂(K ∘ₖ (K^n)) x, y ∈ S
exact Kernel.ae_comp_of_ae_ae hS (Eventually.of_forall hK)
lemma supported_projection_power (K : Kernel α α) (L : Kernel β β) [IsSFiniteKernel K] [IsSFiniteKernel L]
{S : Set α} (_hS : MeasurableSet S) (hSupp : ∀ x, ∀ᵐ y ∂K x, y ∈ S)
{f : α → β} (hf : Measurable f) (hKL : ∀ x ∈ S, (K x).map f=L (f x))
(n : ℕ) (x : α) (hx : x ∈ S) : ((K^n) x).map f=(L^n) (f x) := by
have (m : ℕ) : IsSFiniteKernel (K^m) := kernel_power_sfinite K m
have (m : ℕ) : IsSFiniteKernel (L^m) := kernel_power_sfinite L m
induction n generalizing x with
| zero => change (Measure.dirac x).map f=Measure.dirac (f x); exact Measure.map_dirac' hf x
| succ n ih =>
apply Measure.ext_of_lintegral
intro F hF
have hp : K^(n+1)=(K^n) ∘ₖ K := pow_succ _ _
have hq : L^(n+1)=(L^n) ∘ₖ L := pow_succ _ _
rw [lintegral_map hF hf,hp,hq,Kernel.lintegral_comp _ _ _ (g := fun z => F (f z)) (hF.comp hf),
Kernel.lintegral_comp _ _ _ hF]
have he : (fun y => ∫⁻ z, F (f z) ∂(K^n) y) =ᵐ[K x] fun y => ∫⁻ z, F z ∂(L^n) (f y) := by
filter_upwards [hSupp x] with y hy
rw [← lintegral_map (g := f) hF hf,ih y hy]
rw [lintegral_congr_ae he]
have hJ : Measurable (fun y : β => ∫⁻ z, F z ∂(L^n) y) := hF.lintegral_kernel
rw [← lintegral_map (g := f) hJ hf,hKL x hx]
lemma supported_projection_potential (K B : Kernel α α) (L C : Kernel β β)
[IsSFiniteKernel K] [IsSFiniteKernel B] [IsSFiniteKernel L] [IsSFiniteKernel C]
{S : Set α} (hS : MeasurableSet S) (hSupp : ∀ x, ∀ᵐ y ∂K x, y ∈ S)
{f : α → β} (hf : Measurable f) (hKL : ∀ x ∈ S, (K x).map f=L (f x))
(hBC : ∀ x ∈ S, (B x).map f=C (f x)) (x : α) (hx : x ∈ S) :
(potential B K x).map f=potential C L (f x) := by
have (m : ℕ) : IsSFiniteKernel (K^m) := kernel_power_sfinite K m
have (m : ℕ) : IsSFiniteKernel (L^m) := kernel_power_sfinite L m
rw [potential,Kernel.sum_apply,Measure.map_sum (f := f) hf.aemeasurable,potential,Kernel.sum_apply]
apply congrArg Measure.sum
funext n
apply Measure.ext_of_lintegral
intro F hF
rw [lintegral_map hF hf,Kernel.lintegral_comp _ _ _ (g := fun z => F (f z)) (hF.comp hf),
Kernel.lintegral_comp _ _ _ hF]
have he : (fun y => ∫⁻ z, F (f z) ∂B y) =ᵐ[(K^n) x] fun y => ∫⁻ z, F z ∂C (f y) := by
filter_upwards [kernel_power_support K hS hSupp n x hx] with y hy
rw [← lintegral_map (g := f) hF hf,hBC y hy]
rw [lintegral_congr_ae he]
have hJ : Measurable (fun y : β => ∫⁻ z, F z ∂C y) := hF.lintegral_kernel
rw [← lintegral_map (g := f) hJ hf,supported_projection_power K L hS hSupp hf hKL n x hx]
noncomputable def kernelScale (p : ℝ≥0∞) (B : Kernel α β) [IsSFiniteKernel B] : Kernel α β :=
B.withDensity (fun _ _ => p)
lemma kernelScale_apply (p : ℝ≥0∞) (B : Kernel α β) [IsSFiniteKernel B] (x : α) :
kernelScale p B x=p • B x := by
rw [kernelScale,Kernel.withDensity_apply _ (f := fun _ _ => p) measurable_const,withDensity_const]
lemma kernelScale_isSFinite (p : ℝ≥0∞) (hp : p ≠ ∞) (B : Kernel α β) [IsSFiniteKernel B] :
IsSFiniteKernel (kernelScale p B) := Kernel.IsSFiniteKernel.withDensity B (fun _ _ => hp)
lemma potential_scale_base (p : ℝ≥0∞) (hp : p ≠ ∞) (B : Kernel α β) (K : Kernel α α)
[IsSFiniteKernel B] [IsSFiniteKernel K] (x : α) :
potential (kernelScale p B) K x=p • potential B K x := by
have : IsSFiniteKernel (kernelScale p B) := kernelScale_isSFinite p hp B
have (n : ℕ) : IsSFiniteKernel (K^n) := kernel_power_sfinite K n
ext S hS
rw [potential,Kernel.sum_apply' _ _ hS,Measure.smul_apply,smul_eq_mul,
potential,Kernel.sum_apply' _ _ hS,← ENNReal.tsum_mul_left]
apply tsum_congr
intro n
rw [Kernel.comp_apply' _ _ _ hS,Kernel.comp_apply' _ _ _ hS]
simp_rw [kernelScale_apply,Measure.smul_apply,smul_eq_mul]
exact lintegral_const_mul' _ _ hp
end Erdos970Dependency.MarkedVisits
end
section
namespace Erdos970Dependency.MarkedVisits
open Filter Set MeasureTheory ProbabilityTheory
open scoped ProbabilityTheory ENNReal Classical
open NumberTheoryLean.PairedCostProcess NumberTheoryLean.CostReturnLaw
open NumberTheoryLean.KernelPotential
noncomputable def costWindowFilter (v H : ℝ) : Kernel ℝ ℝ :=
stateFilter (S := Icc v (v+H)) measurableSet_Icc
noncomputable def costOutsideFilter (v H : ℝ) : Kernel ℝ ℝ :=
stateFilter (S := (Icc v (v+H))ᶜ) measurableSet_Icc.compl
instance costWindowFilter_isFiniteKernel (v H : ℝ) : IsFiniteKernel (costWindowFilter v H) := by
unfold costWindowFilter
infer_instance
instance costOutsideFilter_isFiniteKernel (v H : ℝ) : IsFiniteKernel (costOutsideFilter v H) := by
unfold costOutsideFilter
infer_instance
noncomputable def costMarkedLoop (v H : ℝ) : Kernel ℝ ℝ := markedClockKernel ∘ₖ costOutsideFilter v H
instance costMarkedLoop_isFiniteKernel (v H : ℝ) : IsFiniteKernel (costMarkedLoop v H) := by
unfold costMarkedLoop
infer_instance
noncomputable def costCurrentHit (v H : ℝ) : Kernel ℝ ℝ :=
potential (costWindowFilter v H) (costMarkedLoop v H)
instance costCurrentHit_isSFiniteKernel (v H : ℝ) : IsSFiniteKernel (costCurrentHit v H) := by
unfold costCurrentHit
infer_instance
instance costWindow_stopping_isMarkov (v H : ℝ) : IsMarkovKernel (costWindowFilter v H+costMarkedLoop v H) := by
unfold costWindowFilter costMarkedLoop costOutsideFilter
infer_instance
lemma costCurrentHit_mass_le_one (v H T : ℝ) : costCurrentHit v H T univ ≤ 1 :=
capturePotential_mass_le_one _ _ T
noncomputable def ordinaryMarkedLoop (v H : ℝ) : Kernel OddCost OddCost :=
rawBeginningKernel ∘ₖ stateFilter (ordinaryCostWindow_measurable v H).compl
instance ordinaryMarkedLoop_isSFiniteKernel (v H : ℝ) : IsSFiniteKernel (ordinaryMarkedLoop v H) := by
unfold ordinaryMarkedLoop
infer_instance
lemma rawBeginning_total_cost (z : OddCost) (hz : z ∈ returnSet) :
(rawBeginningKernel z).map Prod.snd=markedClockKernel z.2 := by
rw [markedClockKernel_apply]
calc
_ = ((rawBeginningKernel z).map (fun y => y.2-z.2)).map (fun G : ℝ => z.2+G) := by
rw [Measure.map_map (g := fun G : ℝ => z.2+G) (f := fun y : OddCost => y.2-z.2)
(measurable_const.add measurable_id) (measurable_snd.sub measurable_const)]
congr 1
funext y
simp only [Function.comp_def,add_sub_cancel]
_ = _ := by rw [rawBeginning_cost_law z hz]
lemma ordinaryMarkedLoop_support (v H : ℝ) (z : OddCost) :
∀ᵐ y ∂ordinaryMarkedLoop v H z, y ∈ returnSet := by
rw [ordinaryMarkedLoop,stateFilter_input]
split_ifs
· exact rawBeginning_ae_regeneration z
· simp
lemma ordinaryMarkedLoop_cost (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
(ordinaryMarkedLoop v H z).map Prod.snd=costMarkedLoop v H z.2 := by
rw [ordinaryMarkedLoop,costMarkedLoop,costOutsideFilter,stateFilter_input,stateFilter_input]
by_cases h : z.2 ∈ Icc v (v+H)
· rw [ite_eq_right (show z ∉ (ordinaryCostWindow v H)ᶜ from fun hn => hn h),
ite_eq_right (show z.2 ∉ (Icc v (v+H))ᶜ from fun hn => hn h),Measure.map_zero]
· rw [ite_eq_left (show z ∈ (ordinaryCostWindow v H)ᶜ from h),
ite_eq_left (show z.2 ∈ (Icc v (v+H))ᶜ from h)]
exact rawBeginning_total_cost z hz
lemma cost_filter_projection (v H : ℝ) (z : OddCost) :
(stateFilter (ordinaryCostWindow_measurable v H) z).map Prod.snd=costWindowFilter v H z.2 := by
rw [stateFilter,costWindowFilter,stateFilter,Kernel.restrict_apply,Kernel.restrict_apply,Kernel.id_apply,Kernel.id_apply]
change ((Measure.dirac z).restrict (Prod.snd ⁻¹' Icc v (v+H))).map Prod.snd =
(Measure.dirac z.2).restrict (Icc v (v+H))
rw [← Measure.restrict_map measurable_snd measurableSet_Icc,Measure.map_dirac' measurable_snd]
lemma ordinaryWindowCapture_on_regeneration (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
ordinaryWindowCapture v H z=markProbability • stateFilter (ordinaryCostWindow_measurable v H) z := by
have hp : nextMarkWeight z=markProbability := cycleBranch_true_mass z hz
rw [ordinaryWindowCapture,Kernel.restrict_apply,markInputWeightKernel_apply,hp,Measure.restrict_smul]
rfl
lemma ordinaryWindowCapture_cost (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
(ordinaryWindowCapture v H z).map Prod.snd=kernelScale markProbability (costWindowFilter v H) z.2 := by
rw [ordinaryWindowCapture_on_regeneration v H z hz,Measure.map_smul _ measurable_snd.aemeasurable,cost_filter_projection,kernelScale_apply]
theorem ordinaryMarkedPotential_cost (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
(potential (ordinaryWindowCapture v H) (ordinaryMarkedLoop v H) z).map Prod.snd =
markProbability • costCurrentHit v H z.2 := by
have : IsSFiniteKernel (kernelScale markProbability (costWindowFilter v H)) :=
kernelScale_isSFinite markProbability markProbability_ne_top _
rw [supported_projection_potential (ordinaryMarkedLoop v H) (ordinaryWindowCapture v H)
(costMarkedLoop v H) (kernelScale markProbability (costWindowFilter v H))
returnSet_measurable (ordinaryMarkedLoop_support v H) measurable_snd
(ordinaryMarkedLoop_cost v H) (ordinaryWindowCapture_cost v H) z hz,
potential_scale_base markProbability markProbability_ne_top]
rfl
end Erdos970Dependency.MarkedVisits
end
section
namespace Erdos970Dependency.MarkedVisits
open Filter Set MeasureTheory ProbabilityTheory
open scoped ProbabilityTheory ENNReal
open NumberTheoryLean.PairedCostProcess NumberTheoryLean.CostReturnLaw
open NumberTheoryLean.InitialRegeneration NumberTheoryLean.TransitionKernels
open NumberTheoryLean.KernelPotential
lemma unmarkedStar_support (z : OddCost) (hz : z ∈ returnSet) :
∀ᵐ y ∂unmarkedStar z, y ∈ returnSet := by
rw [unmarkedStar,potential,Kernel.sum_apply,Measure.ae_sum_iff]
intro n
rw [Kernel.id_comp]
exact cycleBranch_pow_ae_regeneration false n z hz
lemma ordinaryMarkedPotential_mass (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
potential (ordinaryWindowCapture v H) (ordinaryMarkedLoop v H) z univ =
markProbability*costCurrentHit v H z.2 univ := by
have he := congrArg (fun μ : Measure ℝ => μ univ) (ordinaryMarkedPotential_cost v H z hz)
rw [Measure.map_apply measurable_snd MeasurableSet.univ,preimage_univ,Measure.smul_apply,smul_eq_mul] at he
exact he
theorem ordinaryMarkedHit_first_mark_reduction (v H : ℝ) (z : OddCost) (hz : z ∈ returnSet) :
ordinaryMarkedHit v H z univ =
∫⁻ y, costCurrentHit v H y.2 univ ∂rawFirstMarkedBeginning z := by
have hQ : Measurable (fun y : OddCost => costCurrentHit v H y.2 univ) :=
((costCurrentHit v H).measurable_coe MeasurableSet.univ).comp measurable_snd
rw [ordinaryMarkedHit_denested,Kernel.comp_apply' _ _ _ MeasurableSet.univ,
rawFirstMarkedBeginning,Kernel.withDensity_apply _ (f := fun _ y : OddCost => nextMarkWeight y)
(nextMarkWeight_measurable.comp measurable_snd),
lintegral_withDensity_eq_lintegral_mul _ nextMarkWeight_measurable hQ]
change (∫⁻ y, potential (ordinaryWindowCapture v H) (ordinaryMarkedLoop v H) y univ ∂unmarkedStar z) =
∫⁻ y, nextMarkWeight y*costCurrentHit v H y.2 univ ∂unmarkedStar z
apply lintegral_congr_ae
filter_upwards [unmarkedStar_support z hz] with y hy
rw [ordinaryMarkedPotential_mass v H y hy]
have hp : nextMarkWeight y=markProbability := cycleBranch_true_mass y hy
rw [hp]
noncomputable def ordinaryInitialHitMass (s : EvenState) (v H : ℝ) : ℝ≥0∞ :=
∫⁻ z, ordinaryMarkedHit v H z univ ∂delayedRegeneration s
lemma ordinaryInitialHitMass_le_one (s : EvenState) (v H : ℝ) : ordinaryInitialHitMass s v H ≤ 1 := by
calc
_ ≤ ∫⁻ _z, (1:ℝ≥0∞) ∂delayedRegeneration s := lintegral_mono (ordinaryMarkedHit_mass_le_one v H)
_ = 1 := by simp
theorem ordinaryInitialHit_cost_law (s : EvenState) (v H : ℝ) :
ordinaryInitialHitMass s v H = ∫⁻ T, costCurrentHit v H T univ ∂initialMarkedCostLaw s := by
have hQ : Measurable (fun y : OddCost => costCurrentHit v H y.2 univ) :=
((costCurrentHit v H).measurable_coe MeasurableSet.univ).comp measurable_snd
rw [ordinaryInitialHitMass,initialMarkedCostLaw,
lintegral_map ((costCurrentHit v H).measurable_coe MeasurableSet.univ) measurable_snd,
initialMarkedBeginning,Kernel.lintegral_comp _ _ _ hQ]
apply lintegral_congr_ae
filter_upwards [delayedRegeneration_ae_regeneration s] with z hz
exact ordinaryMarkedHit_first_mark_reduction v H z hz
end Erdos970Dependency.MarkedVisits
end
end Erdos970
end OAI