On the singularity of random matrices with independent entries
Laurent Bruneau, Francois Germinet

TL;DR
This paper proves that the probability of an n by n matrix with independent, non-degenerate entries being singular decreases at a rate of O(1/√n), using a simple Bernoulli decomposition approach.
Contribution
It provides an elementary and concise proof of the singularity probability bound for matrices with independent, non-identically distributed entries.
Findings
Probability of singularity is O(1/√n)
Elementary proof using Bernoulli decomposition
Applicable to non-identically distributed entries
Abstract
We consider n by n real matrices whose entries are non-degenerate random variables that are independent but non necessarily identically distributed, and show that the probability that such a matrix is singular is O(1/sqrt{n}). The purpose of this note is to provide a short and elementary proof of this fact using a Bernoulli decomposition of arbitrary non degenerate random variables.
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Taxonomy
TopicsRandom Matrices and Applications · advanced mathematical theories · Advanced Algebra and Geometry
