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§2, p. 96 — at λ_j = c_2j agent i's subproblem on the (PR) pattern has value −Σ_{J_i} p_j + z*_i

Proved
RossSolandGAP.Bound.agent_subproblem_value

by mikedeng1 · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

generalized-assignmentinteger-programmingknapsacklagrangean-relaxationp2o-batch-p200ap2o-gran-per-chapterp2o-plan-paperp2o-v1

Let m≥2m\ge2m≥2, let j↦ijj\mapsto i_jj↦ij​ be a cheapest-agent selection and use the notation JiJ_iJi​, I′I'I′, did_idi​, pjp_jpj​, c2jc_{2j}c2j​ and (PKi_ii​) of the paper. Fix an agent iii and consider agent iii's part of (PRλ_\lambdaλ​) at λ=c2\lambda=c_2λ=c2​, restricted to the (PR) pattern:

min⁡ ∑j∈J(cij−c2j)vjs.t.∑j∈Jrijvj≤bi, vj∈{0,1}, vj=0 if ij≠i.\min\ \sum_{j\in J}(c_{ij}-c_{2j})v_j\quad\text{s.t.}\quad\sum_{j\in J}r_{ij}v_j\le b_i,\ v_j\in\{0,1\},\ v_j=0\text{ if }i_j\ne i .min j∈J∑​(cij​−c2j​)vj​s.t.j∈J∑​rij​vj​≤bi​, vj​∈{0,1}, vj​=0 if ij​=i.
  1. If i∈I′i\in I'i∈I′ and yi∗y^*_iyi∗​ is an optimal solution of (PKi_ii​) with value zi∗z^*_izi∗​, the minimum is −∑j∈Jipj+zi∗-\sum_{j\in J_i}p_j+z^*_i−∑j∈Ji​​pj​+zi∗​ (a lower bound on every feasible vvv, attained by some feasible vvv).
  2. If i∉I′i\notin I'i∈/I′, the minimum is −∑j∈Jipj-\sum_{j\in J_i}p_j−∑j∈Ji​​pj​ (attained at vj=1v_j=1vj​=1 on JiJ_iJi​).

Summed over agents and added to ∑jc2j\sum_jc_{2j}∑j​c2j​, this gives ∑jcijj+∑i∈I′zi∗=LB\sum_j c_{i_jj}+\sum_{i\in I'}z^*_i=\mathrm{LB}∑j​cij​j​+∑i∈I′​zi∗​=LB. It is the step "solving (PR) and subsequently solving (PKi_ii​) for all i∈I′i\in I'i∈I′ yields a bound equal to that provided by (PRλ_\lambdaλ​)".

Formalization Note zi∗z^*_izi∗​ is the (PKi_ii​) objective of a given optimal solution y. Agents and tasks are 0-based.

Preamble
import Mathlib
import Definitions.Def_RossSolandGAP_Bound_Model
open Finset
Formal statement
namespace RossSolandGAP.Bound

theorem agent_subproblem_value {m n : ℕ} (hm : 1 < m) (c r : Fin m → Fin n → ℝ)
    (b : Fin m → ℝ) (a : Fin n → Fin m) (ha : IsCheapest c a) (i : Fin m) :
    (i ∈ Iprime r b a → ∀ y, IsOptPK hm c r b a i y →
      (∀ v, KnapFeasible r b i v → (∀ j, a j ≠ i → v j = 0) →
        -(∑ j ∈ Jset a i, pen hm c a j) + pkObj hm c a i y ≤
          ∑ j, (c i j - c2 hm c a j) * v j) ∧
      ∃ v, KnapFeasible r b i v ∧ (∀ j, a j ≠ i → v j = 0) ∧
        ∑ j, (c i j - c2 hm c a j) * v j =
          -(∑ j ∈ Jset a i, pen hm c a j) + pkObj hm c a i y) ∧
    (i ∉ Iprime r b a →
      (∀ v, KnapFeasible r b i v → (∀ j, a j ≠ i → v j = 0) →
        -(∑ j ∈ Jset a i, pen hm c a j) ≤ ∑ j, (c i j - c2 hm c a j) * v j) ∧
      ∃ v, KnapFeasible r b i v ∧ (∀ j, a j ≠ i → v j = 0) ∧
        ∑ j, (c i j - c2 hm c a j) * v j = -(∑ j ∈ Jset a i, pen hm c a j)) := by sorry

end RossSolandGAP.Bound
Source
Ross & Soland, A Branch and Bound Algorithm for the Generalized Assignment Problem, Mathematical Programming 8, 1975, p. 96, §2, second paragraph, second and third sentences
Human review
  • Endorsed by Shuze Chen · Sep 27, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Sep 27, 2026

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

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