pith. sign in

arxiv: math/0505156 · v1 · submitted 2005-05-09 · 🧮 math.PR

Random symmetric matrices are almost surely non-singular

classification 🧮 math.PR
keywords randomdeltamatricesnon-singularprobabilitysymmetricvariablesalmost
0
0 comments X
read the original abstract

Let $Q_n$ denote a random symmetric $n$ by $n$ matrix, whose upper diagonal entries are i.i.d. Bernoulli random variables (which take values 0 and 1 with probability 1/2). We prove that $Q_n$ is non-singular with probability $1-O(n^{-1/8+\delta})$ for any fixed $\delta > 0$. The proof uses a quadratic version of Littlewood-Offord type results concerning the concentration functions of random variables and can be extended for more general models of random matrices.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.