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arXiv 0905.0461math.CO
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关于离散随机矩阵的奇异概率

On the singularity probability of discrete random matrices

Jean Bourgain, Van Vu, Philip Matchett Wood

摘要:

令$M_n$是$n$乘$n$的随机矩阵,其中每个条目以概率1/2独立地为+1或-1。我们的主要结果意味着$M_n$是奇异的概率至多是$(1/\sqrt{2} + o(1))^n$,改进了之前由Tao和Vu在arXiv:math/0501313 v2中证明的$(3/4 + o(1))^n$的最佳上界。本文遵循类似的方法,陶和Vu的结果,包括使用他们的结构定理的变体。我们还扩展了这种类型的指数上界的概率,一个随机矩阵是奇异的一大类离散随机矩阵的值在复数,其中的条目是独立的,但不一定是相同的分布。

英文摘要:

Let $M_n$ be an $n$ by $n$ random matrix where each entry is +1 or -1 independently with probability 1/2. Our main result implies that the probability that $M_n$ is singular is at most $(1/\sqrt{2} + o(1))^n$, improving on the previous best upper bound of $(3/4 + o(1))^n$ proven by Tao and Vu in arXiv:math/0501313v2. This paper follows a similar approach to the Tao and Vu result, including using a variant of their structure theorem. We also extend this type of exponential upper bound on the probability that a random matrix is singular to a large class of discrete random matrices taking values in the complex numbers, where the entries are independent but are not necessarily identically distributed.

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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