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arXiv math/0509382math.COmath.PR
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Erd \H os-Ko-Rado性质的概率推广

Probabilistic Extensions of the Erd\H os-Ko-Rado Property

Anna Celaya, Anant P. Godbole, Mandy Rae Schleifer

摘要:

经典的Erd \H os-Ko-Rado(EKR)定理指出,如果我们从一个固定大小的集合(n(n > 2k))中选择一个子集族,每个子集的大小为(k),那么最大可能的成对相交族的大小为(t ={n-1 \choose k-1})。本文考虑随机选择的大小为t=t_n的族具有EKR性质(两两非空交)的概率,即$n$和$k=k_n$趋于无穷大,后者以特定的速率趋于无穷大.当$t$变大时,EKR性质不太可能发生,而当$t$变小时,EKR性质以高概率满足。我们使用Janson不等式推导出$t$的阈值。使用斯坦-陈方法,我们表明,分布的$X_0$,定义为不相交的子集对在我们的家庭,可以近似的泊松分布。我们扩展我们的结果,以产生类似的结论$X_i$,重叠的子集对的数量正好在$i$元素。最后,我们表明,联合分布$(X_0, X_1, ..., X_b)$可以近似为一个多维泊松向量与独立的组件。

英文摘要:

The classical Erd\H os-Ko-Rado (EKR) Theorem states that if we choose a family of subsets, each of size (k), from a fixed set of size (n (n > 2k)), then the largest possible pairwise intersecting family has size (t ={n-1\choose k-1}). We consider the probability that a randomly selected family of size (t=t_n) has the EKR property (pairwise nonempty intersection) as $n$ and $k=k_n$ tend to infinity, the latter at a specific rate. As $t$ gets large, the EKR property is less likely to occur, while as $t$ gets smaller, the EKR property is satisfied with high probability. We derive the threshold value for $t$ using Janson's inequality. Using the Stein-Chen method we show that the distribution of $X_0$, defined as the number of disjoint pairs of subsets in our family, can be approximated by a Poisson distribution. We extend our results to yield similar conclusions for $X_i$, the number of pairs of subsets that overlap in exactly $i$ elements. Finally, we show that the joint distribution $(X_0, X_1, ..., X_b)$ can be approximated by a multidimensional Poisson vector with independent components.

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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