关于稀疏矩形随机矩阵的最大和最小奇异值

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY
F. Gotze, A. Tikhomirov
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引用次数: 2

摘要

我们导出了稀疏矩形$N\times n$随机矩阵的最大和最小奇异值的估计,假设$\lim_{N,n\to\infty}\frac nN=y\in(0,1)$。我们考虑一个具有稀疏参数$p_N$的模型,使得$Np_N\sim \log^{\alpha }N$对于某些$\alpha>1$,并假设矩阵元素的矩满足条件$\mathbf E|X_{jk}|^{4+\delta}\le C<\infty$。我们还假设我们所考虑的矩阵的条目在$(Np_N)^{\frac12-\varkappa}$级别被$\varkappa:=\frac{\delta}{2(4+\delta)}$截断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the largest and the smallest singular value of sparse rectangular random matrices
We derive estimates for the largest and smallest singular values of sparse rectangular $N\times n$ random matrices, assuming $\lim_{N,n\to\infty}\frac nN=y\in(0,1)$. We consider a model with sparsity parameter $p_N$ such that $Np_N\sim \log^{\alpha }N$ for some $\alpha>1$, and assume that the moments of the matrix elements satisfy the condition $\mathbf E|X_{jk}|^{4+\delta}\le C<\infty$. We assume also that the entries of matrices we consider are truncated at the level $(Np_N)^{\frac12-\varkappa}$ with $\varkappa:=\frac{\delta}{2(4+\delta)}$.
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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