Persistency of linear programming relaxations for the stable set problem

成果类型:
Article
署名作者:
Rodriguez-Heck, Elisabeth; Stickler, Karl; Walter, Matthias; Weltge, Stefan
署名单位:
RWTH Aachen University; University of Twente; Technical University of Munich
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-020-01600-3
发表日期:
2022
页码:
387-407
关键词:
graphs
摘要:
The Nemhauser-Trotter theorem states that the standard linear programming (LP) formulation for the stable set problem has a remarkable property, also known as (weak) persistency: for every optimal LP solution that assigns integer values to some variables, there exists an optimal integer solution in which these variables retain the same values. While the standard LP is defined by only non-negativity and edge constraints, a variety of other LP formulations have been studied and one may wonder whether any of them has this property as well. We show that any other formulation that satisfies mild conditions cannot have the persistency property on all graphs, unless it is always equal to the stable set polytope.