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引用次数: 0
摘要
在本文中,我们研究了在给定图中寻找小密集子图的基本问题。对于实数 \(s>2\),我们证明平均度为 \(d\ge s\) 的 n 个顶点上的每个图都包含一个平均度至少为 s 的子图,该子图位于最多 \(nd^{-\frac{s}{s-2}}(\log d)^{O_s(1)}\) 个顶点上。这在多对数因子以内都是最优的,并且解决了费格和瓦格纳的一个猜想。此外,我们还证明了每一个有 n 个顶点且平均度至少为 \(n^{1-\frac{2}{s}+\varepsilon }\) 的图都包含一个平均度至少为 s 的子图,该子图位于 \(O_{\varepsilon ,s}(1)\) 顶点上,这也是最优的,直到隐藏在 O(.) 符号中的常数为止,并解决了 Verstraëte 的一个猜想。
In this paper we study the fundamental problem of finding small dense subgraphs in a given graph. For a real number \(s>2\), we prove that every graph on n vertices with average degree \(d\ge s\) contains a subgraph of average degree at least s on at most \(nd^{-\frac{s}{s-2}}(\log d)^{O_s(1)}\) vertices. This is optimal up to the polylogarithmic factor, and resolves a conjecture of Feige and Wagner. In addition, we show that every graph with n vertices and average degree at least \(n^{1-\frac{2}{s}+\varepsilon }\) contains a subgraph of average degree at least s on \(O_{\varepsilon ,s}(1)\) vertices, which is also optimal up to the constant hidden in the O(.) notation, and resolves a conjecture of Verstraëte.
期刊介绍:
COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are
- Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups).
- Combinatorial optimization.
- Combinatorial aspects of geometry and number theory.
- Algorithms in combinatorics and related fields.
- Computational complexity theory.
- Randomization and explicit construction in combinatorics and algorithms.