Theorem 6: quadratic candidate family with factor two
ProvedConstrNestedLogit.Space.theorem_6assortment-optimizationknapsacknested-logitp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1
For a nest with space constraints, there is a single collection containing all singleton assortments and rounded optima of the LP relaxation of (10). Every member is feasible, and
This gives an explicit quadratic bound for Theorem 6's collection and supports the overall assortment guarantee through Theorem 4.
Formalization Note Products form a nonempty finite set. The paper's implicit positive preference and space weights are stated explicitly.
Preamble
import Mathlib import Definitions.Def_ConstrNestedLogit_Space_Model
Formal statement
namespace ConstrNestedLogit.Space
/-- Theorem 6, with the explicit quadratic bound supplied by the line arrangement. -/
theorem theorem_6 {ι : Type*} [Fintype ι] [DecidableEq ι] {n : ℕ}
(I : NestedLogitVariants.LP.Instance ι n)
(w : ι → Fin n → ℝ) (c : ι → ℝ) (i : ι)
(hn : 0 < n)
(hvnp : ∀ i, I.vnp i = 0) (hv : ∀ j, 0 < I.v i j)
(hw : ∀ j, 0 < w i j) (hwc : ∀ j, w i j ≤ c i) :
∃ A : Finset (Finset (Fin n)),
isRoundedCandidateFamily I w c i A ∧
(∀ S ∈ A, spaceFeasible w c i S) ∧
A.card ≤ (n + 1) ^ 2 ∧
∀ u : ℝ, 0 ≤ u → ∃ S ∈ A, isApproximateAt I w c i u 2 S := by sorry
end ConstrNestedLogit.Space
Source
Gallego & Topaloglu, Constrained Assortment Optimization for the Nested Logit Model, Management Science (2014), DOI 10.1287/mnsc.2014.1931; authors' manuscript of Sept. 11, 2013, p. 21, Theorem 6
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.