Section 7, first case — a point of with equals
ProvedMarkovChainChoice.DimReduction.eq_balance_of_supp_emptychoice-modelsp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1polyhedra
Let be a Markov chain choice model satisfying the standing assumptions and let . If , then
the solution of the (Balance) equations for the empty offer set.
This is the configuration in which the Dimension Reduction algorithm stops in Step 1.
Preamble
import Mathlib import Definitions.Def_MarkovChainChoice_Shared_Model import Definitions.Def_MarkovChainChoice_Shared_Balance import Definitions.Def_MarkovChainChoice_DimReduction_H import Definitions.Def_MarkovChainChoice_DimReduction_Algorithm open MarkovChainChoice.Shared
Formal statement
namespace MarkovChainChoice.DimReduction
theorem eq_balance_of_supp_empty {n : ℕ} (M : Model n) :
∀ p ∈ H M, drSupp p.1 = ∅ → p = (purchase M ∅, visitNot M ∅) := by sorry
end MarkovChainChoice.DimReduction
Source
Feldman, Topaloglu, Revenue Management Under the Markov Chain Choice Model, Oper. Res. 65(5), 2017, p. 1332, Section 7, right column (first case)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.