Mixed-integer linear representability, disjunctions, and variable elimination
Amitabh Basu, Kipp Martin, Christopher Ryan, Guanyi Wang

TL;DR
This paper provides an algebraic characterization of MILP-representable sets using affine Chvátal inequalities, offering a variable elimination scheme that improves upon previous disjunctive methods and clarifies the limits of existing approaches.
Contribution
It introduces an algebraic characterization of MILP-representable sets via affine Chvátal inequalities and extends variable elimination techniques to improve upon prior disjunctive schemes.
Findings
Sets can be characterized by finitely many affine Chvátal inequalities.
Disjunctions are unnecessary for describing MILP-representable sets.
The new scheme can identify inequalities not found by previous disjunctive methods.
Abstract
Jeroslow and Lowe gave an exact geometric characterization of subsets of that are projections of mixed-integer linear sets, a.k.a MILP-representable sets. We give an alternate algebraic characterization by showing that a set is MILP-representable {\em if and only if} the set can be described as the intersection of finitely many {\em affine Chv\'atal inequalities}. These inequalities are a modification of a concept introduced by Blair and Jeroslow. This gives a sequential variable elimination scheme that, when applied to the MILP representation of a set, explicitly gives the affine Chv\'atal inequalities characterizing the set. This is related to the elimination scheme of Wiliams and Williams-Hooker, who describe projections of integer sets using \emph{disjunctions} of Chv\'atal systems. Our scheme extends their work in two ways. First, we show that disjunctions are…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Optimization Algorithms Research · Constraint Satisfaction and Optimization
