Forward Coupling Implies Two-Time Distributional Convergence
Provedforward_coupling_implies_queue_two_point_convergenceconvergencecouplingprobabilityqueueing-theory
Forward coupling and stationarity
Suppose the transient workload couples almost surely in finite time to a measurable two-time stationary workload process . Then for every and measurable ,
The proof applies dominated convergence to the difference of the two event indicators.
Formal statement
import Definitions.Def_single_server_queueing_stability
open Filter MeasureTheory Set
open scoped Topology
open SingleServerQueueing
/-- Almost-sure finite-time coupling to a two-point stationary workload process implies
convergence of all two-time workload probabilities. -/
theorem forward_coupling_implies_queue_two_point_convergence
{Ω : Type*} {m₀ : MeasurableSpace Ω} {μ : Measure Ω} [IsFiniteMeasure μ]
(q : Input Ω μ) (α : ℝ)
(hMeas : q.WorkloadsMeasurable)
(hCouple : ∀ᵐ ω ∂μ, ∃ T : ℝ, ∀ t, T ≤ t →
q.transientWorkload α t ω = q.stationaryWorkload t ω)
(hStationary : IsTwoPointStationary μ q.stationaryWorkload)
(s₁ s₂ : ℝ) (B₁ B₂ : Set ℝ) (hB₁ : MeasurableSet B₁) (hB₂ : MeasurableSet B₂) :
Tendsto
(fun τ ↦ μ.real {ω | q.transientWorkload α (s₁ + τ) ω ∈ B₁ ∧
q.transientWorkload α (s₂ + τ) ω ∈ B₂})
atTop
(nhds (μ.real {ω | q.stationaryWorkload s₁ ω ∈ B₁ ∧
q.stationaryWorkload s₂ ω ∈ B₂})) := by
sorry
Source
User-supplied notes, final proposition under 'Single-server queuing system'; the proof is summarized there as 'Forward coupling and stationary'.
Human review
Confirmed by the mission captain (proposal self-audit).
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