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arXiv 1504.00312math.CO
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具有随机费用的随机图的最小费用匹配

Minimum-cost matching in a random graph with random costs

Alan Frieze, Tony Johansson

摘要:

设$G_{n,p}$是标准Erdens-Rényi-Gilbert随机图,$G_{n,n,p}$是$n+n$顶点上的随机二部图,其中每个$e\in [n]^2$以概率$p$独立地出现为一条边.对于图$G=(V,E)$,假设给每条边$e\in E$一个独立的一致指数率1成本.令$C(G)$表示等于最小成本完美匹配的长度的随机变量,假设$G$包含至少一个。我们表明,w. h. p.如果$d=np\gg(\log n)^2$然后w. h. p. ${\bf E}[C(G_{n,n,p})] =(1+o(1))\frac{\p^2}{6p}$。这推广了$G=K_{n,n}$情形的著名结果。我们还显示了两种类型随机图的w. h. p. ${\bf E}[C(G_{n,p})] =(1+o(1))\frac{\p^2}{12p}$以及浓度结果。

英文摘要:

Let $G_{n,p}$ be the standard Erdős-Rényi-Gilbert random graph and let $G_{n,n,p}$ be the random bipartite graph on $n+n$ vertices, where each $e\in [n]^2$ appears as an edge independently with probability $p$. For a graph $G=(V,E)$, suppose that each edge $e\in E$ is given an independent uniform exponential rate one cost. Let $C(G)$ denote the random variable equal to the length of the minimum cost perfect matching, assuming that $G$ contains at least one. We show that w.h.p. if $d=np\gg(\log n)^2$ then w.h.p. ${\bf E}[C(G_{n,n,p})] =(1+o(1))\frac{\p^2}{6p}$. This generalises the well-known result for the case $G=K_{n,n}$. We also show that w.h.p. ${\bf E}[C(G_{n,p})] =(1+o(1))\frac{\p^2}{12p}$ along with concentration results for both types of random graph.

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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