arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.12107math.COcs.ITmath.IT
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二部图中独立集个数界的广义信息理论方法

A Generalized Information-Theoretic Approach for Bounding the Number of Independent Sets in Bipartite Graphs

Igal Sason

摘要:

本文研究了用度分布表示的图中独立集个数的上界问题。对于二部正则图,Kahn(2001)利用信息论方法建立了一个紧的上界,他还建立了一般图的上界.最近Sah et al.(2019)使用不涉及信息论的不同技术证明了他的极限。这项工作的主要贡献是扩展卡恩的信息理论证明技术来处理不规则的二部图。特别是,当二部图的一侧是规则的,但另一侧可能是不规则的时,扩展的基于熵的证明技术产生了与Kahn(2001)和Sah等人(2019)证明的相同的边界。

英文摘要:

This paper studies the problem of upper bounding the number of independent sets in a graph, expressed in terms of its degree distribution. For bipartite regular graphs, Kahn (2001) established a tight upper bound using an information-theoretic approach, and he also conjectured an upper bound for general graphs. His conjectured bound was recently proved by Sah et al. (2019), using different techniques not involving information theory. The main contribution of this work is the extension of Kahn's information-theoretic proof technique to handle irregular bipartite graphs. In particular, when the bipartite graph is regular on one side, but it may be irregular in the other, the extended entropy-based proof technique yields the same bound that was conjectured by Kahn (2001) and proved by Sah et al. (2019).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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