A geometric lower bound on the extension complexity of polytopes based on the f-vector

被引:1
|
作者
Dewez, Julien [1 ,2 ]
Gillis, Nicolas [3 ]
Glineur, Francois [1 ,2 ]
机构
[1] Catholic Univ Louvain, ICTEAM INMA, Ave Georges Lemaitre,4-6-L4-05-01, B-1348 Louvain La Neuve, Belgium
[2] CORE, Ave Georges Lemaitre,4-6-L4-05-01, B-1348 Louvain La Neuve, Belgium
[3] Univ Mons, Dept Math & Operat Res, Rue Houdain 9, B-7000 Mons, Belgium
基金
欧洲研究理事会;
关键词
Combinatorial optimization; Convex polytopes; Linear extension; Extended formulation; Extension complexity; Lower bound; f-vector; Slack matrices; Nonnegative matrix factorization; Nonnegative rank; Restricted nonnegative rank; OPTIMIZATION PROBLEMS; FACES; PROOF;
D O I
10.1016/j.dam.2020.09.028
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A linear extension of a polytope Q is any polytope which can be mapped onto Q via an affine transformation. The extension complexity of a polytope is the minimum number of facets of any linear extension of this polytope. In general, computing the extension complexity of a given polytope is difficult. The extension complexity is also equal to the nonnegative rank of any slack matrix of the polytope. In this paper, we introduce a new geometric lower bound on the extension complexity of a polytope, i.e., which relies only on the knowledge of some of its geometric characteristics. It is based on the monotone behaviour of the f-vector of polytopes under affine maps. We present numerical results showing that this bound can improve upon existing geometric lower bounds, and provide a generalization of this lower bound for the nonnegative rank of any matrix. (C) 2020 Elsevier B.V. All rights reserved.
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页码:22 / 38
页数:17
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