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Proof of Theorem 8.3.4 — LPR(t_opt) is feasible and t*(t_opt) ≤ t_opt

Proved
MatousekLP.Scheduling.lpr_topt_le

by mikedeng1 · Oct 3, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-programminglp-relaxationp2o-batch-b23bp2o-gran-per-chapterp2o-plan-bookp2o-v1scheduling

Let dij>0d_{ij} > 0dij​>0 be running times of nnn jobs on mmm machines, and let σopt\sigma_{\mathrm{opt}}σopt​ be an optimal schedule, with makespan toptt_{\mathrm{opt}}topt​. Then:

  1. the linear program LPR(topt)\mathrm{LPR}(t_{\mathrm{opt}})LPR(topt​) is feasible, and
  2. every optimal solution (t,x)(t, x)(t,x) of LPR(topt)\mathrm{LPR}(t_{\mathrm{opt}})LPR(topt​) has value
t≤topt,that is,t∗(topt)≤topt.t \le t_{\mathrm{opt}}, \qquad\text{that is,}\qquad t^*(t_{\mathrm{opt}}) \le t_{\mathrm{opt}} .t≤topt​,that is,t∗(topt​)≤topt​.

This says that the relaxation with threshold T=toptT = t_{\mathrm{opt}}T=topt​ is a genuine relaxation of the scheduling problem; it is the first inequality used to compare the rounded schedule with the optimum.

Formalization Note The optimal value t∗(topt)t^*(t_{\mathrm{opt}})t∗(topt​) is expressed through optimal solutions of LPR(topt)\mathrm{LPR}(t_{\mathrm{opt}})LPR(topt​), not through an infimum.

Preamble
import Mathlib
import Definitions.Def_MatousekLP_Scheduling_Schedule
import Definitions.Def_MatousekLP_Scheduling_LPRelaxation
Formal statement
namespace MatousekLP.Scheduling

/-- Proof of Theorem 8.3.4 (Matoušek–Gärtner, p. 155): with `t_opt` the makespan of an
optimal schedule, the relaxation `LPR(t_opt)` is feasible, and every optimal solution
`(t, x)` of `LPR(t_opt)` has value `t ≤ t_opt` (that is, `t*(t_opt) ≤ t_opt`). -/
theorem lpr_topt_le {m n : ℕ} (d : Matrix (Fin m) (Fin n) ℝ)
    (hd : ∀ i j, 0 < d i j) (σopt : Fin n → Fin m) (hσopt : IsOptimalSchedule d σopt) :
    (∃ (t : ℝ) (x : Matrix (Fin m) (Fin n) ℝ), LPRFeasible d (makespan d σopt) t x) ∧
      ∀ (t : ℝ) (x : Matrix (Fin m) (Fin n) ℝ),
        LPROptimal d (makespan d σopt) t x → t ≤ makespan d σopt := by sorry

end MatousekLP.Scheduling
Source
Matoušek & Gärtner, Understanding and Using Linear Programming, Springer 2007, p. 155, proof of Theorem 8.3.4
Human review
  • Endorsed by Shuze Chen · Oct 5, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 5, 2026

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

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