roseking's picture
Add lean source and binary files (part 118)
180bc03 verified
Raw History Blame Contribute Delete
9.43 kB
import Mathlib
import OAI.Probability.Ballisticity.Coupling.SeedRadius
import OAI.Probability.Ballisticity.Coupling.StageSeedProfile
namespace OAI
section
open MeasureTheory ProbabilityTheory
open scoped ENNReal BigOperators Classical
namespace DirectionalTransience
lemma fresh_random_budget_mass_lt {d k : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e f : Direction d) (a G r s : ℝ) (H : ℕ)
(π : Environment d → BudgetProfile (k:=k) e f a G)
(hπ : @Measurable _ _ (rowSigma (BelowHeight (realPosition (step e)) a)) _ π)
(A : Set (Environment d)) (hA : MeasurableSet[rowSigma (BelowHeight (realPosition (step e)) a)] A)
(c : ℝ≥0∞)
(hbound : ∀ η ∈ A, environmentLaw ν {ω | relativeBudgetMass e f H r (π η).val ω<s}≤c) :
environmentLaw ν (A∩{ω | relativeBudgetMass e f H r (π ω).val ω<s})≤c*environmentLaw ν A := by
let S := BelowHeight (realPosition (step e)) a
let T : Set (Lattice d) := {y | a≤dot (realPosition y) (realPosition (step e))}
let B : Set (Environment d×Environment d) := {p | relativeBudgetMass e f H r (π p.1).val p.2<s}
have hQ := budgetProfileMass_joint_rows (k:=k) e f a G H r T (fun x hx j y hy => by
change a≤dot (realPosition y) (realPosition (step e))
simpa only [hx j] using hy.1)
have hB : @MeasurableSet (Environment d×Environment d) (MeasurableSpace.prod (rowSigma S) (rowSigma T)) B :=
measurableSet_lt (hQ.comp ((hπ.comp measurable_fst).prodMk measurable_snd)) measurable_const
have hV : @Measurable (Environment d) (Environment d) inferInstance (rowSigma T) id :=
measurable_id.mono le_rfl (rowSigma_le T)
have hb (η : Environment d) (hη : η∈A) :
(@Measure.map (Environment d) (Environment d) inferInstance (rowSigma T) id (environmentLaw ν))
{ω | (η,ω)∈B}≤c := by
rw [show {ω | (η,ω)∈B}=Prod.mk η ⁻¹' B from rfl,
Measure.map_apply hV (hB.preimage measurable_prodMk_left)]
exact hbound η hη
apply @fresh_rows_random_test_bound d (Environment d) (Environment d) (rowSigma S) (rowSigma T)
ν _ S T _ id id measurable_id measurable_id A hA B hB c hb
exact Set.disjoint_left.mpr fun x hx hy =>
(not_lt.mpr (show a≤dot (realPosition x) (realPosition (step e)) from hy))
(show dot (realPosition x) (realPosition (step e))<a from hx)
end DirectionalTransience
end
section
open MeasureTheory ProbabilityTheory
open scoped ENNReal Classical
namespace DirectionalTransience
lemma fresh_layer_diagonal_bound {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e : Direction d) (a : ℝ) (A : Set (Environment d))
(hA : MeasurableSet[rowSigma (BelowHeight (realPosition (step e)) a)] A)
(B : Set (Environment d×Environment d))
(hB : @MeasurableSet (Environment d×Environment d)
(MeasurableSpace.prod (rowSigma (BelowHeight (realPosition (step e)) a))
(rowSigma {y | a≤dot (realPosition y) (realPosition (step e))})) B)
(c : ℝ≥0∞) (hbound : ∀ η∈A, environmentLaw ν {ω | (η,ω)∈B}≤c) :
environmentLaw ν (A∩{ω | (ω,ω)∈B})≤c*environmentLaw ν A := by
let S := BelowHeight (realPosition (step e)) a
let T : Set (Lattice d) := {y | a≤dot (realPosition y) (realPosition (step e))}
have hV : @Measurable (Environment d) (Environment d) inferInstance (rowSigma T) id :=
measurable_id.mono le_rfl (rowSigma_le T)
have hb (η : Environment d) (hη : η∈A) :
(@Measure.map (Environment d) (Environment d) inferInstance (rowSigma T) id (environmentLaw ν))
{ω | (η,ω)∈B}≤c := by
rw [show {ω | (η,ω)∈B}=Prod.mk η ⁻¹' B from rfl,
Measure.map_apply hV (hB.preimage measurable_prodMk_left)]
exact hbound η hη
apply @fresh_rows_random_test_bound d (Environment d) (Environment d) (rowSigma S) (rowSigma T)
ν _ S T _ id id measurable_id measurable_id A hA B hB c hb
exact Set.disjoint_left.mpr fun x hx hy =>
(not_lt.mpr (show a≤dot (realPosition x) (realPosition (step e)) from hy))
(show dot (realPosition x) (realPosition (step e))<a from hx)
lemma fresh_layer_profile_event_bound {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e : Direction d) (a : ℝ) {D : Type*} [MeasurableSpace D]
(b : D → Environment d → ℝ≥0∞)
(hb : @Measurable (D×Environment d) ℝ≥0∞
(MeasurableSpace.prod inferInstance
(rowSigma {y | a≤dot (realPosition y) (realPosition (step e))})) _
(fun p => b p.1 p.2))
(π : Environment d → D)
(hπ : @Measurable _ _ (rowSigma (BelowHeight (realPosition (step e)) a)) _ π)
(A : Set (Environment d)) (hA : MeasurableSet[rowSigma (BelowHeight (realPosition (step e)) a)] A)
(g c : ℝ≥0∞) (hbound : ∀ η∈A, environmentLaw ν {ω | b (π η) ω<g}≤c) :
environmentLaw ν (A∩{ω | b (π ω) ω<g})≤c*environmentLaw ν A := by
apply fresh_layer_diagonal_bound ν e a A hA {p | b (π p.1) p.2<g} _ c hbound
exact measurableSet_lt (hb.comp ((hπ.comp measurable_fst).prodMk measurable_snd)) measurable_const
end DirectionalTransience
end
section
open MeasureTheory ProbabilityTheory Filter
open scoped ENNReal BigOperators Classical
namespace DirectionalTransience
lemma seedSeparatedMass_joint_upper {d k : ℕ} (e f : Direction d) (a G : ℝ) (H : ℕ) :
@Measurable (LayerTupleProfile (k:=k) e a×Environment d) ℝ≥0∞
(@Prod.instMeasurableSpace _ _ inferInstance
(rowSigma {y | a≤dot (realPosition y) (realPosition (step e))})) _
(fun p => seedSeparatedRaw e f H G p.1.val p.2 Set.univ) := by
apply (Measure.measurable_coe MeasurableSet.univ).comp
apply seedSeparatedRaw_joint_rows
intro x hx j y hy
change a≤dot (realPosition y) (realPosition (step e))
simpa only [hx j] using hy.1
lemma fresh_random_seed_failure {d k : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(e f : Direction d) (a G : ℝ) (H : ℕ) (g : ℝ≥0∞)
(π : Environment d → LayerTupleProfile (k:=k) e a)
(hπ : @Measurable _ _ (rowSigma (BelowHeight (realPosition (step e)) a)) _ π)
(A : Set (Environment d)) (hA : MeasurableSet[rowSigma (BelowHeight (realPosition (step e)) a)] A)
(c : ℝ≥0∞)
(hbound : ∀ η∈A, environmentLaw ν {ω | seedSeparatedRaw e f H G (π η).val ω Set.univ<g}≤c) :
environmentLaw ν (A∩{ω | seedSeparatedRaw e f H G (π ω).val ω Set.univ<g})≤c*environmentLaw ν A := by
exact fresh_layer_profile_event_bound ν e a (D:=LayerTupleProfile (k:=k) e a)
(fun (p : LayerTupleProfile (k:=k) e a) ω => seedSeparatedRaw e f H G p.val ω Set.univ)
(seedSeparatedMass_joint_upper (k:=k) e f a G H) π hπ A hA g c hbound
lemma seedSeparatedRaw_measurable {d k : ℕ} (e f : Direction d) (H : ℕ) (G a : ℝ)
(π : LayerTupleProfile (k:=k) e a) : Measurable (fun ω => seedSeparatedRaw e f H G π.val ω) := by
have hh := seedSeparatedRaw_joint_rows (k:=k) e f H G a Set.univ (fun _ _ _ => Set.subset_univ _)
exact (hh.comp (measurable_const.prodMk measurable_id)).mono (rowSigma_le _) le_rfl
theorem adapted_separated_seeds {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)))
(k : ℕ) (hk : 2≤k) (p : ℝ) (hp : 0<p) :
∃ C c₀ g₀ : ℝ, 0<C ∧ 0<c₀ ∧ 0<g₀ ∧ ∃ H₀ : ℕ, ∀ H≥H₀,
∀ (a : ℝ) (π : Environment d → LayerTupleProfile (k:=k) e a),
@Measurable _ _ (rowSigma (BelowHeight (realPosition (step e)) a)) _ π →
∀ A : Set (Environment d), MeasurableSet[rowSigma (BelowHeight (realPosition (step e)) a)] A →
environmentLaw ν (A∩{ω | seedSeparatedRaw e f H
(c₀*fluctuationRadius (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) ((H:ℝ)/C))
(π ω).val ω Set.univ<ENNReal.ofReal g₀})≤ENNReal.ofReal p*environmentLaw ν A := by
obtain ⟨C,c₀,g₀,hC,hc,hg,H₀,hh⟩ := separated_seeds ν hue e f hef htrans k hk p hp
refine ⟨C,c₀,g₀,hC,hc,hg,H₀,fun H hH a π hπ A hA => ?_⟩
apply fresh_random_seed_failure ν e f a _ H _ π hπ A hA (ENNReal.ofReal p)
intro η _
have hs := hh H hH ⟨(π η).val,(π η).property.1⟩
let G := c₀*fluctuationRadius (independentConditionedPairLaw ν (realPosition (step e)))
(commonIncrementProcess (realPosition (step e)) f 0) ((H:ℝ)/C)
have hm : MeasurableSet {ω | seedSeparatedRaw e f H G (π η).val ω Set.univ<ENNReal.ofReal g₀} :=
measurableSet_lt ((Measure.measurable_coe MeasurableSet.univ).comp
(seedSeparatedRaw_measurable e f H G a (π η))) measurable_const
have he : {ω | ENNReal.ofReal g₀≤rawTupleMixture (realPosition (step e)) H (π η).val ω {v | TupleSeparated f G v}} =
{ω | seedSeparatedRaw e f H G (π η).val ω Set.univ<ENNReal.ofReal g₀}ᶜ := by
ext ω; simp only [Set.mem_ofPred_eq,Set.mem_compl_iff,not_lt,seedSeparatedRaw_univ]
change 1-p < (environmentLaw ν).real {ω | ENNReal.ofReal g₀≤rawTupleMixture (realPosition (step e)) H (π η).val ω {v | TupleSeparated f G v}} at hs
rw [he,measureReal_compl hm,probReal_univ] at hs
rw [← ofReal_measureReal (measure_ne_top _ _)]
apply ENNReal.ofReal_le_ofReal
linarith
end DirectionalTransience
end
end OAI