English

On random $\pm 1$ matrices: Singularity and Determinant

Combinatorics 2008-07-01 v5 Probability

Abstract

This papers contains two results concerning random n×nn \times n Bernoulli matrices. First, we show that with probability tending to one the determinant has absolute value n!exp(O((nlogn)))\sqrt {n!} \exp(O(\sqrt(n log n))). Next, we prove a new upper bound .939n.939^n on the probability that the matrix is singular. We also give some generalizations to other random matrix models.

Keywords

Cite

@article{arxiv.math/0411095,
  title  = {On random $\pm 1$ matrices: Singularity and Determinant},
  author = {Terence Tao and Van Vu},
  journal= {arXiv preprint arXiv:math/0411095},
  year   = {2008}
}

Comments

25 pages, no figures. Slight numerical corrections to Lemma 2.2