扩展公式中的电路

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
Steffen Borgwardt , Matthias Brugger
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引用次数: 0

摘要

回路和扩展公式是线性规划理论中的经典概念。多面体的回路是可行点之间的基本差向量,包括所有边的方向。我们研究了多面体 P 的回路与 P 的扩展公式(即线性投影到 P 上的多面体 Q 的描述)的回路之间的联系。众所周知,P 的边方向是 Q 的边方向的图像。我们提供了具有可证明的最小数量的面、顶点和极射线的反例,包括聚类中的相关多边形,并证明了被继承和不被继承的电路数量之差在维度上可以是指数级的。我们进一步证明,任何固定线性投影图都存在反例,除非该投影图是注入式的。反过来,我们证明每个满足温和假设的多面体 Q 都能以这样一种方式投影,即图像多面体 P 的电路与 Q 的电路之间没有前像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circuits in extended formulations

Circuits and extended formulations are classical concepts in linear programming theory. The circuits of a polyhedron are the elementary difference vectors between feasible points and include all edge directions. We study the connection between the circuits of a polyhedron P and those of an extended formulation of P, i.e., a description of a polyhedron Q that linearly projects onto P. It is well known that the edge directions of P are images of edge directions of Q. We show that this ‘inheritance’ under taking projections does not extend to the set of circuits, and that this non-inheritance is quite generic behavior. We provide counterexamples with a provably minimal number of facets, vertices, and extreme rays, including relevant polytopes from clustering, and show that the difference in the number of circuits that are inherited and those that are not can be exponentially large in the dimension. We further prove that counterexamples exist for any fixed linear projection map, unless the map is injective. Finally, we characterize those polyhedra P whose circuits are inherited from all polyhedra Q that linearly project onto P. Conversely, we prove that every polyhedron Q satisfying mild assumptions can be projected in such a way that the image polyhedron P has a circuit with no preimage among the circuits of Q. Our proofs build on standard constructions such as homogenization and disjunctive programming.

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来源期刊
Discrete Optimization
Discrete Optimization 管理科学-应用数学
CiteScore
2.10
自引率
9.10%
发文量
30
审稿时长
>12 weeks
期刊介绍: Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.
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