On random ±1 matrices: Singularity and determinant

On random ±1 matrices: Singularity and determinant
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DOI:
10.1002/rsa.20109
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发表时间:
2006-01
影响因子:
1
通讯作者:
T. Tao;V. Vu
T. Tao;V. Vu
中科院分区:
数学3区
文献类型:
--
作者:
T. Tao;V. Vu

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本文给出了关于随机n × nBernoulli矩阵的两个结果。首先,我们证明了当概率趋于1时,行列式有绝对值$\sqrt{n!}\这样的复杂度是O(\sqrt{n \ln n})。接下来,我们证明了一个新的上界0.958n的概率,矩阵是奇异的。© 2005 Wiley Periodicals,Inc.随机结构算法,2006
This papers contains two results concerning random n × n Bernoulli matrices. First, we show that with probability tending to 1 the determinant has absolute value $\sqrt{n!}\exp(O(\sqrt{n \ln n}))$. Next, we prove a new upper bound 0.958n on the probability that the matrix is singular.© 2005 Wiley Periodicals, Inc. Random Struct. Alg., 2006