有向图中反馈弧集的极值结果

IF 0.9 3区 数学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
J. Fox, Z. Himwich, Nitya Mani
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引用次数: 0

摘要

对于有向图,令表示最小反馈弧集的大小,这是一个最小的边子集,它的删除会留下一个无环子图。Berger和Shor证明了任意沿向图满足。我们观察到,当有向图有固定的禁止子图时,其界是尖锐的,因为它不是二部的函数,但如果是二部的,则其低阶项的指数可以得到改进。利用Bukh和Conlon关于Turán数的结果,证明了任意有理数作为某有限族禁止子图的指数是最优的。我们的上界配备了随机线性时间算法,该算法构建了实现这些边界的反馈弧集。我们还利用最小反馈弧集刻画了有向拟随机性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extremal results on feedback arc sets in digraphs
For an oriented graph , let denote the size of a minimum feedback arc set, a smallest edge subset whose deletion leaves an acyclic subgraph. Berger and Shor proved that any ‐edge oriented graph satisfies . We observe that if an oriented graph has a fixed forbidden subgraph , the bound is sharp as a function of if is not bipartite, but the exponent in the lower order term can be improved if is bipartite. Using a result of Bukh and Conlon on Turán numbers, we prove that any rational number in is optimal as an exponent for some finite family of forbidden subgraphs. Our upper bounds come equipped with randomized linear‐time algorithms that construct feedback arc sets achieving those bounds. We also characterize directed quasirandomness via minimum feedback arc sets.
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来源期刊
Random Structures & Algorithms
Random Structures & Algorithms 数学-计算机:软件工程
CiteScore
2.50
自引率
10.00%
发文量
56
审稿时长
>12 weeks
期刊介绍: It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdõs. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability.
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