Dyadic separation of distinct arrivals and the small-window multiple-arrival estimate.
theorem
BGW.Probability.exists_ne_of_one_lt_count
{M : Type u_2}
[MeasurableSpace M]
{μ : MeasureTheory.Measure (NNReal × M)}
{S : Set (NNReal × M)}
(hμ : μ = MeasureTheory.Measure.sum fun (p : ↑S) => MeasureTheory.Measure.dirac ↑p)
{B : Set (NNReal × M)}
(hB : MeasurableSet B)
(h : 1 < μ B)
:
A counting measure assigning mass greater than one contains two distinct points.
The left endpoint of cell i in a uniform n-cell partition of (0, h].
Equations
- BGW.Probability.pointGridTime h n i = h * ↑i / ↑n
Instances For
The set of points in cell i of a uniform time partition and with mark in A.
Equations
- BGW.Probability.gridBox h n i A = Set.Ioc (BGW.Probability.pointGridTime h n i) (BGW.Probability.pointGridTime h n (i + 1)) ×ˢ A
Instances For
def
BGW.Probability.separatedDouble
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
(ξ : Ω → MeasureTheory.Measure (NNReal × M))
(h : NNReal)
(n : ℕ)
(A : Set M)
:
Set Ω
The event that two different grid cells each contain an arrival.
Equations
- BGW.Probability.separatedDouble ξ h n A = {ω : Ω | ∃ (i : Fin n) (j : Fin n), i < j ∧ 1 ≤ (ξ ω) (BGW.Probability.gridBox h n (↑i) A) ∧ 1 ≤ (ξ ω) (BGW.Probability.gridBox h n (↑j) A)}
Instances For
theorem
BGW.Probability.pointGridTime_monotone
(h : NNReal)
{n : ℕ}
(hn : n ≠ 0)
:
Monotone (pointGridTime h n)
theorem
BGW.Probability.exists_grid_box
{h : NNReal}
{n : ℕ}
(hn : n ≠ 0)
{x : NNReal}
(hx : x ∈ Set.Ioc 0 h)
:
∃ (i : Fin n), x ∈ Set.Ioc (pointGridTime h n ↑i) (pointGridTime h n (↑i + 1))
theorem
BGW.Probability.exists_mem_of_one_le_count
{M : Type u_2}
[MeasurableSpace M]
{μ : MeasureTheory.Measure (NNReal × M)}
{S : Set (NNReal × M)}
(hμ : μ = MeasureTheory.Measure.sum fun (p : ↑S) => MeasureTheory.Measure.dirac ↑p)
{B : Set (NNReal × M)}
(hB : MeasurableSet B)
(h : 1 ≤ μ B)
:
∃ (p : ↑S), ↑p ∈ B
theorem
BGW.Probability.separatedDouble_subset_double
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
{h : NNReal}
{n : ℕ}
(hn : n ≠ 0)
(hAm : MeasurableSet A)
:
theorem
BGW.Probability.ae_double_eq_iUnion_separated
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace Ω]
[MeasurableSpace M]
{P : MeasureTheory.Measure Ω}
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(hξ : IsTimeSimpleLevy P ξ)
(hA : IsFiniteRate P ξ A)
(h : NNReal)
:
def
BGW.Probability.separatedDoubleNE
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
(ξ : Ω → MeasureTheory.Measure (NNReal × M))
(h : NNReal)
(n : ℕ)
(A : Set M)
:
Set Ω
The nonzero-arrival version of separatedDouble, useful for exact refinement.
Equations
- BGW.Probability.separatedDoubleNE ξ h n A = {ω : Ω | ∃ (i : Fin n) (j : Fin n), i < j ∧ (ξ ω) (BGW.Probability.gridBox h n (↑i) A) ≠ 0 ∧ (ξ ω) (BGW.Probability.gridBox h n (↑j) A) ≠ 0}
Instances For
theorem
BGW.Probability.separatedDouble_subset_NE
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
{h : NNReal}
{n : ℕ}
:
separatedDouble ξ h n A ⊆ separatedDoubleNE ξ h n A
theorem
BGW.Probability.separatedDoubleNE_mono_two
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(h : NNReal)
(hAm : MeasurableSet A)
{n : ℕ}
(hn : n ≠ 0)
:
separatedDoubleNE ξ h n A ⊆ separatedDoubleNE ξ h (2 * n) A
theorem
BGW.Probability.separatedDoubleNE_mono
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace M]
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(h : NNReal)
(hAm : MeasurableSet A)
:
Monotone fun (N : ℕ) => separatedDoubleNE ξ h (2 ^ N) A
theorem
BGW.Probability.ae_double_eq_iUnion_separatedNE
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace Ω]
[MeasurableSpace M]
{P : MeasureTheory.Measure Ω}
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(hξ : IsTimeSimpleLevy P ξ)
(hA : IsFiniteRate P ξ A)
(h : NNReal)
:
theorem
BGW.Probability.prob_noMark_stationary
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace Ω]
[MeasurableSpace M]
{P : MeasureTheory.Measure Ω}
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(hξ : IsTimeSimpleLevy P ξ)
(hA : IsFiniteRate P ξ A)
(a h : NNReal)
:
theorem
BGW.Probability.iIndep_grid_counts
{Ω : Type u_1}
{M : Type u_2}
[MeasurableSpace Ω]
[MeasurableSpace M]
{P : MeasureTheory.Measure Ω}
{ξ : Ω → MeasureTheory.Measure (NNReal × M)}
{A : Set M}
(hξ : IsTimeSimpleLevy P ξ)
(hA : IsFiniteRate P ξ A)
(h : NNReal)
{n : ℕ}
(hn : n ≠ 0)
:
ProbabilityTheory.iIndepFun (fun (i : Fin n) (ω : Ω) => (ξ ω) (gridBox h n (↑i) A)) P