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Add lean source and binary files (part 118)
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import Mathlib
import OAI.Probability.Ballisticity.Coupling.CountableFreshBuffer
import OAI.Probability.Ballisticity.Estimates.BufferTree
import OAI.Probability.Ballisticity.Coupling.FreshBufferAE
namespace OAI
section
section
open MeasureTheory ProbabilityTheory Filter Function
open scoped ENNReal NNReal BigOperators Topology Classical
namespace DirectionalTransience
noncomputable def positiveBufferPlan {d : ℕ} (ν : Measure (Row d)) (e f : Direction d) (r : ℝ) : ℕ :=
max 1 ⌊fluctuationScale (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) r⌋₊
lemma positiveBufferPlan_pos {d : ℕ} (ν : Measure (Row d)) (e f : Direction d) (r : ℝ) :
0 < positiveBufferPlan ν e f r := lt_of_lt_of_le Nat.zero_lt_one (le_max_left _ _)
def BufferChanceData {d : ℕ} (ν : Measure (Row d)) (e f : Direction d)
(α c ε g R : ℝ) : Prop :=
∀ r : ℝ, R ≤ r →
positiveBufferPlan ν e f r = ⌊fluctuationScale (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) r⌋₊ ∧
∀ z₀ : ℝ, ∀ π : Measure (Lattice d × Lattice d), IsProbabilityMeasure π →
(∀ᵐ x ∂π, z₀+r ≤ signedCoordinate f (x.2-x.1)) →
ENNReal.ofReal c ≤ environmentLaw ν {ω | BufferStageEvent (realPosition (step e)) f
(positiveBufferPlan ν e f r) z₀ r ε α g π ω}
lemma bufferStageEvent_threshold_mono {d : ℕ} (ℓ : Vector d) (f : Direction d)
(H : ℕ) (z₀ r ε α : ℝ) {g g' : ℝ} (hgg : g' ≤ g)
(π : Measure (Lattice d × Lattice d)) (ω : Environment d) :
BufferStageEvent ℓ f H z₀ r ε α g π ω → BufferStageEvent ℓ f H z₀ r ε α g' π ω := by
rintro ⟨ht,hf⟩
exact ⟨fun j hj hjH => (ENNReal.ofReal_le_ofReal hgg).trans (ht j hj hjH),
(ENNReal.ofReal_le_ofReal hgg).trans hf⟩
theorem actual_buffer_chance_data {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(hue : UniformElliptic ν) (e f : Direction d) (hef : e.1 ≠ f.1)
(htrans : DirectionallyTransient ν (realPosition (step e))) :
∃ α c : ℝ, 0 < α ∧ 0 < c ∧ ∀ ε : ℝ, 0 < ε →
∃ g R : ℝ, 0 < g ∧ g ≤ 1 ∧ 0 < R ∧ BufferChanceData ν e f α c ε g R := by
obtain ⟨α,c,hα,hc,hchance⟩ := buffer_stage_success_probability ν hue e f hef htrans
refine ⟨α,c,hα,hc,fun ε hε => ?_⟩
obtain ⟨g,R,hg,hR,hgood⟩ := hchance ε hε
refine ⟨min g 1,R,lt_min hg zero_lt_one,min_le_right _ _,hR,?_⟩
intro r hr
obtain ⟨hH,hπ⟩ := hgood r hr
have hplan : positiveBufferPlan ν e f r = ⌊fluctuationScale (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) r⌋₊ := max_eq_right hH
refine ⟨hplan,fun z₀ π hp hgap => ?_⟩
have hh := hπ z₀ π hp hgap
have hb : ENNReal.ofReal c ≤ environmentLaw ν {ω | BufferStageEvent (realPosition (step e)) f
(positiveBufferPlan ν e f r) z₀ r ε α g π ω} := by
rw [hplan]
have he : {ω | BufferStageEvent (realPosition (step e)) f
⌊fluctuationScale (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) r⌋₊ z₀ r ε α g π ω} =
{ω | BufferStageSuccess (realPosition (step e)) f
⌊fluctuationScale (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) r⌋₊ z₀ r ε α g π ω} := by
ext ω
exact bufferStageEvent_iff e f hH z₀ r ε α hg.le π ω
rw [he]
exact (ENNReal.ofReal_le_iff_le_toReal (measure_ne_top _ _)).mpr hh
exact hb.trans (measure_mono fun ω hω => bufferStageEvent_threshold_mono _ _ _ _ _ _ _
(min_le_left g 1) π ω hω)
end DirectionalTransience
end
section
open MeasureTheory ProbabilityTheory Filter Function
open scoped ENNReal NNReal BigOperators Topology Classical
namespace DirectionalTransience
lemma bufferTree_weighted_success {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e f : Direction d) (hef : e.1 ≠ f.1) {R₀ : ℝ} (hR₀ : 0 < R₀)
(z₀ ε α g c : ℝ) {κ : ℝ≥0} (hκpos : 0 < κ) (hκ1 : κ ≤ 1)
(hκae : ∀ᵐ ω ∂environmentLaw ν, ∀ y u, κ ≤ (ω y).1 u)
(hg : 0 < g) (hg1 : g ≤ 1) (hε : 0 ≤ ε)
(hdata : BufferChanceData ν e f α c ε g R₀) (root : AdaptedBufferNode e)
(hr : R₀ ≤ root.radius) (hroot : BufferNodeValid e f z₀ κ root)
(hactive : root.active=Set.univ) (s : ℝ) (n : ℕ) :
let B := bufferTreeSuccess e f hef R₀ z₀ ε α g κ (positiveBufferPlan ν e f)
(positiveBufferPlan_pos ν e f) root
ENNReal.ofReal c*(∫⁻ ω, ENNReal.ofReal (failureWeight B s n ω) ∂environmentLaw ν) ≤
∫⁻ ω in B n, ENNReal.ofReal (failureWeight B s n ω) ∂environmentLaw ν := by
let H := positiveBufferPlan ν e f
let hH := positiveBufferPlan_pos ν e f
let nodes := fun l : BufferWords n => bufferNodeAt e f hef R₀ z₀ ε α g κ H hH root l.val
let A := fun l : BufferWords n => (nodes l).active
let E := fun l : BufferWords n => {ω | BufferStageEvent (realPosition (step e)) f (H (nodes l).radius)
z₀ (nodes l).radius ε α g ((nodes l).law ω).val ω}
let B := bufferTreeSuccess e f hef R₀ z₀ ε α g κ H hH root
let w := fun ω => ENNReal.ofReal (failureWeight B s n ω)
have hAm (l) : MeasurableSet (A l) := rowSigma_le _ _ (nodes l).active_rows
have hEm (l) : MeasurableSet (E l) := by
have hp := (nodes l).law_rows.mono (rowSigma_le _) le_rfl
exact (measurableSet_bufferStageEvent_rows (realPosition (step e)) f (hH _) z₀ (nodes l).radius ε α g
(PairAtHeight (realPosition (step e)) (nodes l).level) Set.univ
(fun x hx => ⟨Set.subset_univ _,Set.subset_univ _⟩)).preimage
(hp.prodMk (measurable_id.mono le_rfl (rowSigma_le Set.univ)))
have hpart := bufferWords_partition e f hef R₀ z₀ ε α g κ H hH root n
have hbound (l : BufferWords n) : ENNReal.ofReal c*(∫⁻ ω in A l, w ω ∂environmentLaw ν) ≤
∫⁻ ω in A l ∩ E l, w ω ∂environmentLaw ν := by
let N := nodes l
let D := BelowHeight (realPosition (step e)) N.level
have hC (x : Lattice d × Lattice d) (hx : x ∈ PairAtHeight (realPosition (step e)) N.level) :
Strip (realPosition (step e)) x.1 (H N.radius) ⊆ Dᶜ ∧
Strip (realPosition (step e)) x.2 (H N.radius) ⊆ Dᶜ := by
constructor
· intro y hy
change ¬ dot (realPosition y) (realPosition (step e)) < N.level
have hh := hy.1
rw [hx.1] at hh
exact not_lt_of_ge hh
· intro y hy
change ¬ dot (realPosition y) (realPosition (step e)) < N.level
have hh := hy.1
rw [hx.2] at hh
exact not_lt_of_ge hh
have hNr : R₀ ≤ N.radius := bufferNodeAt_radius e f hef R₀ z₀ ε α g κ H hH root hr l.val
have hNv := bufferNodeAt_valid e f hef hR₀.le z₀ ε α g hκpos hκ1 hg hg1 hε H hH root hr hroot l.val
have hvalid : ∀ᵐ ω ∂environmentLaw ν, ω ∈ N.active → IsProbabilityMeasure (N.law ω).val ∧
∀ᵐ x ∂(N.law ω).val, z₀+N.radius ≤ signedCoordinate f (x.2-x.1) :=
hκae.mono fun ω hω hA => hNv ω hω hA
have hw := buffer_failureWeight_on_branch e f hef R₀ z₀ ε α g κ H hH root s n l
have hh := fresh_buffer_weight_ae_valid ν (realPosition (step e)) f (hH N.radius)
z₀ N.radius ε α g c (PairAtHeight (realPosition (step e)) N.level) D Dᶜ
disjoint_compl_right hC (fun π hp hgap => (hdata N.radius hNr).2 z₀ π.val hp hgap)
N.law N.law_rows N.active N.active_rows hvalid (N.active.indicator w) hw
have hleft : (∫⁻ ω in N.active, N.active.indicator w ω ∂environmentLaw ν) =
∫⁻ ω in N.active, w ω ∂environmentLaw ν := by
apply lintegral_congr_ae
filter_upwards [ae_restrict_mem (hAm l)] with ω hω
exact Set.indicator_of_mem hω _
have hright : (∫⁻ ω in N.active ∩ E l, N.active.indicator w ω ∂environmentLaw ν) =
∫⁻ ω in N.active ∩ E l, w ω ∂environmentLaw ν := by
apply lintegral_congr_ae
filter_upwards [ae_restrict_mem ((hAm l).inter (hEm l))] with ω hω
exact Set.indicator_of_mem hω.1 _
change ENNReal.ofReal c*(∫⁻ ω in N.active, N.active.indicator w ω ∂environmentLaw ν) ≤
∫⁻ ω in N.active ∩ E l, N.active.indicator w ω ∂environmentLaw ν at hh
rw [hleft,hright] at hh
exact hh
have hh := weighted_countable_partition_lower (environmentLaw ν) A (fun l => A l ∩ E l) hAm
(fun l => (hAm l).inter (hEm l)) hpart.2 (fun _ => Set.inter_subset_left) w (ENNReal.ofReal c) hbound
have ha : (⋃ l, A l)=Set.univ := hpart.1.trans hactive
have hb : (⋃ l, A l ∩ E l)=B n := by
unfold B bufferTreeSuccess
congr 1
funext l
ext ω
simp only [A,E,nodes,bufferNodeDecision,Set.mem_inter_iff,Set.mem_ofPred,decide_eq_true_eq]
rw [ha,Measure.restrict_univ,hb] at hh
exact hh
lemma bufferTree_real_success {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e f : Direction d) (hef : e.1 ≠ f.1) {R₀ : ℝ} (hR₀ : 0 < R₀)
(z₀ ε α g c : ℝ) (hc : 0 ≤ c) {κ : ℝ≥0} (hκpos : 0 < κ) (hκ1 : κ ≤ 1)
(hκae : ∀ᵐ ω ∂environmentLaw ν, ∀ y u, κ ≤ (ω y).1 u)
(hg : 0 < g) (hg1 : g ≤ 1) (hε : 0 ≤ ε)
(hdata : BufferChanceData ν e f α c ε g R₀) (root : AdaptedBufferNode e)
(hr : R₀ ≤ root.radius) (hroot : BufferNodeValid e f z₀ κ root)
(hactive : root.active=Set.univ) (n : ℕ) :
let B := bufferTreeSuccess e f hef R₀ z₀ ε α g κ (positiveBufferPlan ν e f)
(positiveBufferPlan_pos ν e f) root
c*(∫ ω, failureWeight B c n ω ∂environmentLaw ν) ≤
∫ ω in B n, failureWeight B c n ω ∂environmentLaw ν := by
let B := bufferTreeSuccess e f hef R₀ z₀ ε α g κ (positiveBufferPlan ν e f)
(positiveBufferPlan_pos ν e f) root
have hBm := bufferTreeSuccess_measurable e f hef R₀ z₀ ε α g κ
(positiveBufferPlan ν e f) (positiveBufferPlan_pos ν e f) root
have hi := failureWeight_integrable (environmentLaw ν) B hBm c n
have hp (ω) : 0 ≤ failureWeight B c n ω := (Real.exp_pos _).le
have hh := bufferTree_weighted_success ν e f hef hR₀ z₀ ε α g c hκpos hκ1 hκae hg hg1 hε hdata root hr hroot hactive c n
change ENNReal.ofReal c*(∫⁻ ω, ENNReal.ofReal (failureWeight B c n ω) ∂environmentLaw ν) ≤
∫⁻ ω in B n, ENNReal.ofReal (failureWeight B c n ω) ∂environmentLaw ν at hh
rw [←ofReal_integral_eq_lintegral_ofReal hi (ae_of_all _ hp),
←ofReal_integral_eq_lintegral_ofReal hi.restrict (ae_of_all _ hp),←ENNReal.ofReal_mul hc] at hh
exact (ENNReal.ofReal_le_ofReal_iff (integral_nonneg hp)).mp hh
end DirectionalTransience
end
end
end OAI