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arXiv 1702.02304math.CO
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关于随机定向图的斜谱分布

On the skew-spectral distribution of randomly oriented graphs

Yilun Shang

摘要:

随机定向图$G_{n,p}^σ$是具有随机定向$σ$的Erdens-Rényi随机图$G_{n,p}$,随机定向$σ$为每条边分配方向,使得$G_{n,p}^σ$成为有向图。用$S_n$表示$G_{n,p}^σ$的斜邻接矩阵.本文证明了在适当的假设下,$S_n$的谱分布(在一定的归一化条件下)几乎必然收敛于标准的半圆律,如$n\rightarrow\infty$ .值得一提的是,我们的结果并不需要有限矩的基本随机矩阵的项目。

英文摘要:

The randomly oriented graph $G_{n,p}^σ$ is an Erdős-Rényi random graph $G_{n,p}$ with a random orientation $σ$, which assigns to each edge a direction so that $G_{n,p}^σ$ becomes a directed graph. Denote by $S_n$ the skew-adjacency matrix of $G_{n,p}^σ$. Under some mild assumptions, it is proved in this paper that, the spectral distribution of $S_n$ (under some normalization) converges to the standard semicircular law almost surely as $n\rightarrow\infty$. It is worth mentioning that our result does not require finite moments of the entries of the underlying random matrix.

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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