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Observation 3 — per-machine tail Pr[Σ_{j∈J_i} X′_ij > b + 1 + α] ≤ ℓ_i^(−α)

Proved
StochLoadBal.Makespan.observation_3

by mikedeng1 · Oct 20, 2026 · Mathlib 0df444a (Lean v4.33.1)

effective-sizep2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1stochastic-schedulingtail-bound

Let m≥1m\ge1m≥1, let the sizes Xij≥0X_{ij}\ge0Xij​≥0 be measurable and integrable with the jobs independent, let yyy be a feasible solution of the LP (5)–(9) with parameter bbb, and let σ\sigmaσ be an assignment with properties (13)–(14), with job sets JiJ_iJi​ and machine classes ℓi\ell_iℓi​. Then for every machine iii and every α≥0\alpha\ge0α≥0,

Pr⁡[∑j∈JiXij′ > b+1+α] ≤ ℓi−α.\Pr\Big[\sum_{j\in J_i}X'_{ij}\ >\ b+1+\alpha\Big]\ \le\ \ell_i^{-\alpha}.Pr[j∈Ji​∑​Xij′​ > b+1+α] ≤ ℓi−α​.

Machines of a high class have rapidly decaying truncated loads; Lemma 7 sums these bounds over the machines of class at least 333.

Formalization Note LP feasibility is assumed so that every class satisfies ℓi≥1\ell_i\ge1ℓi​≥1 (Observation 1); with the junk class 000 the right side would be 000. Only the independence of the jobs on machine iii is used, which follows from the independence of the jobs.

Preamble
import Mathlib
import Definitions.Def_StochLoadBal_Makespan_Rounding
Formal statement
namespace StochLoadBal.Makespan

open MeasureTheory ProbabilityTheory

/-- Observation 3 (p. 13): for a feasible LP solution `y` and an assignment `σ` with
(13)–(14), every machine `i` of class `ℓ_i` satisfies
`Pr[Σ_{j ∈ J_i} X'_{ij} > b + 1 + α] ≤ ℓ_i^{-α}` for all `α ≥ 0`. -/
theorem observation_3 {m n : ℕ} (hm : 1 ≤ m) {Ω : Type} [MeasurableSpace Ω] (P : Measure Ω)
    [IsProbabilityMeasure P] (X : Fin m → Fin n → Ω → ℝ)
    (hmeas : ∀ i j, Measurable (X i j)) (hnn : ∀ i j ω, 0 ≤ X i j ω)
    (hint : ∀ i j, Integrable (X i j) P) (hind : iIndepFun (fun j ω i => X i j ω) P)
    (b : ℝ) (y : Fin m → Fin n → ℝ) (hy : LPFeasible P X b y)
    (σ : Fin n → Fin m) (hσ : IsRoundingOutput P X b y σ) (i : Fin m) (α : ℝ) (hα : 0 ≤ α) :
    (P {ω | b + 1 + α < ∑ j ∈ Finset.univ.filter (fun j => σ j = i), trunc (X i j ω)}).toReal
      ≤ (machineClass P X b y i : ℝ) ^ (-α) := by sorry

end StochLoadBal.Makespan
Source
Gupta, Kumar, Nagarajan & Shen, Stochastic Load Balancing on Unrelated Machines, arXiv:1904.07271v1, p. 13, Observation 3
Human review
  • Endorsed by Shuze Chen · Oct 20, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 20, 2026

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

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