arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.00064math.CO
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求大围长正则一致超图独立集的随机贪婪算法

Randomized greedy algorithm for independent sets in regular uniform hypergraphs with large girth

Jiaxi Nie, Jacques Verstraete

摘要:

本文考虑了在周长为$g$的$n$顶点上的$r$ -均匀$d$ -正则超图$G$中求独立集的随机贪婪算法.通过分析由该算法生成的独立集的期望大小,我们证明了$α(G)\geq (f(d,r)-ε(g,d,r))n$,其中对于固定的$d$和$r$,$ε(g,d,r)$收敛到$0$为$g\rightarrow\infty$,并且$f(d,r)$由微分方程确定。这推广了Gamarnik和Goldberg关于图的早期结果。我们还证明了当把该算法应用于度有界的一致线性超图时,由该算法生成的独立集的大小几乎必然渐近地集中在均值附近。

英文摘要:

In this paper, we consider a randomized greedy algorithm for independent sets in $r$-uniform $d$-regular hypergraphs $G$ on $n$ vertices with girth $g$. By analyzing the expected size of the independent sets generated by this algorithm, we show that $α(G)\geq (f(d,r)-ε(g,d,r))n$, where $ε(g,d,r)$ converges to $0$ as $g\rightarrow\infty$ for fixed $d$ and $r$, and $f(d,r)$ is determined by a differential equation. This extends earlier results of Gamarnik and Goldberg for graphs. We also prove that when applying this algorithm to uniform linear hypergraphs with bounded degree, the size of the independent sets generated by this algorithm concentrate around the mean asymptotically almost surely.

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