最大二方图与无三角形子图

Tamio-Vesa Nakajima, Stanislav Živný
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引用次数: 0

摘要

给定一个(多)图 $G$,其中包含一个有 $\rho$ 边的双方子图,那么能有效找到的 $G$ 的最大无三角形子图是多少?我们提出了一种基于 SDP 的算法,它能找到一个至少有 0.8823 \rho$ 条边的子图,从而改进了 Goemans 和 Williamson 的经典 Max-Cut 算法所得到的有 0.878 \rho$ 条边的子图。另一方面,通过对哈斯塔德的 3 位 PCP 算法的还原,我们发现要找到一个有 $(25 / 26 + \epsilon) \rho \approx (0.961 + \epsilon) \rho$ 边的无三角形子图是 NP 难的。作为一种应用,我们对所有双方形 $G$ 的最大承诺约束满足问题 MaxPCSP($G$,$H$) 进行了分类:给定一个输入(多)图 $X$,它允许一个满足 $\rho$ 边的 $G$ 配色,找出一个满足 $\rho$ 边的 $H$ 配色。如果 $H$ 包含一个三角形,那么除了微不足道的情况外,这个问题可以在多项式时间内求解,反之则是 NP 难。
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Maximum Bipartite vs. Triangle-Free Subgraph
Given a (multi)graph $G$ which contains a bipartite subgraph with $\rho$ edges, what is the largest triangle-free subgraph of $G$ that can be found efficiently? We present an SDP-based algorithm that finds one with at least $0.8823 \rho$ edges, thus improving on the subgraph with $0.878 \rho$ edges obtained by the classic Max-Cut algorithm of Goemans and Williamson. On the other hand, by a reduction from Hastad's 3-bit PCP we show that it is NP-hard to find a triangle-free subgraph with $(25 / 26 + \epsilon) \rho \approx (0.961 + \epsilon) \rho$ edges. As an application, we classify the Maximum Promise Constraint Satisfaction Problem MaxPCSP($G$,$H$) for all bipartite $G$: Given an input (multi)graph $X$ which admits a $G$-colouring satisfying $\rho$ edges, find an $H$-colouring of $X$ that satisfies $\rho$ edges. This problem is solvable in polynomial time, apart from trivial cases, if $H$ contains a triangle, and is NP-hard otherwise.
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