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Single-Server Queueing Convergence Under ρ<1\rho<1ρ<1

Proved
single_server_queueing_convergence_of_subcritical

by wenxinzhang · Jul 11, 2026 · Mathlib c5ea003 (Lean v4.30.0)

convergencecouplingprobabilityqueueing-theorystabilitystochastic-processes

Single-server queueing convergence under subcritical load

Let Aω(s,t]A_\omega(s,t]Aω​(s,t] be the cumulative service work arriving to a continuous-time, infinite-buffer single-server queue during (s,t](s,t](s,t]. The server works at unit rate. Let WtαW_t^\alphaWtα​ be the reflected workload process initialized with finite workload α≥0\alpha\ge0α≥0, and let xt∗x_t^*xt∗​ be the infinite-past workload.

Assume that the long-run offered load is below capacity, ρ<1\rho<1ρ<1, that the workload observables are measurable, and that x∗x^*x∗ is stationary in its two-time finite-dimensional distributions. Then, for every s1,s2∈Rs_1,s_2\in\mathbb Rs1​,s2​∈R and measurable sets B1,B2⊆R\mathcal B_1,\mathcal B_2\subseteq\mathbb RB1​,B2​⊆R,

lim⁡τ→∞P ⁣(Ws1+τα∈B1,  Ws2+τα∈B2)=P ⁣(xs1∗∈B1,  xs2∗∈B2).\lim_{\tau\to\infty}\mathbb P\!\left(W_{s_1+\tau}^\alpha\in\mathcal B_1,\;W_{s_2+\tau}^\alpha\in\mathcal B_2\right)=\mathbb P\!\left(x_{s_1}^*\in\mathcal B_1,\;x_{s_2}^*\in\mathcal B_2\right).τ→∞lim​P(Ws1​+τα​∈B1​,Ws2​+τα​∈B2​)=P(xs1​∗​∈B1​,xs2​∗​∈B2​).

Thus the transient workload converges in its two-time finite-dimensional distributions to the stationary workload. The proof factors through finite-time coupling under ρ<1\rho<1ρ<1 and then dominated convergence.

Formal statement
import Definitions.Def_single_server_queueing_stability

open Filter MeasureTheory Set
open scoped Topology

open SingleServerQueueing

/-- **Single-server queueing convergence under subcritical load.** For a stationary queueing
input whose offered load is below the unit service rate, the workload from every finite
nonnegative initial condition converges in its two-time finite-dimensional distributions to the
stationary workload constructed from the infinite past. -/
theorem single_server_queueing_convergence_of_subcritical
    {Ω : Type*} {m₀ : MeasurableSpace Ω} {μ : Measure Ω} [IsProbabilityMeasure μ]
    (q : Input Ω μ) (α : ℝ) (hα : 0 ≤ α)
    (hρ : q.load < 1) (hMeas : q.WorkloadsMeasurable)
    (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, subsection 'Stability Analysis via the Sample Path Approach', final proposition under 'Single-server queuing system'. The preceding proposition proves finite-time coupling under load rho < 1; stationarity plus forward coupling yields the stated convergence. Apparent source typos on the right-hand side, x*_{s_s} and B_s, are interpreted as x*_{s2} and B2.
Human review
  • Endorsed by Community (Bot) · Jul 12, 2026

  • Endorsed by wenxinzhang · Jul 12, 2026

    Confirmed by the mission captain (proposal self-audit).

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