On the singularity of random matrices with independent entries
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- by Laurent Bruneau and François Germinet PDF
- Proc. Amer. Math. Soc. 137 (2009), 787-792 Request permission
Abstract:
We consider $n$ by $n$ real matrices whose entries are non-degenerate random variables that are independent but not necessarily identically distributed, and show that the probability that such a matrix is singular is $O(1/\sqrt {n})$. The purpose of this paper is to provide a short and elementary proof of this fact using a Bernoulli decomposition of arbitrary non-degenerate random variables.References
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Additional Information
- Laurent Bruneau
- Affiliation: Département de Mathématiques, Université de Cergy-Pontoise, CNRS UMR 8088,F-95000 Cergy-Pontoise, France
- Email: laurent.bruneau@u-cergy.fr
- François Germinet
- Affiliation: Département de Mathématiques, Université de Cergy-Pontoise, CNRS UMR 8088, Institut Universitaire de France, F-95000 Cergy-Pontoise, France
- Email: francois.germinet@u-cergy.fr
- Received by editor(s): October 17, 2007
- Published electronically: October 22, 2008
- Communicated by: Walter Craig
- © Copyright 2008 American Mathematical Society
- Journal: Proc. Amer. Math. Soc. 137 (2009), 787-792
- MSC (2000): Primary 15A52
- DOI: https://doi.org/10.1090/S0002-9939-08-09595-6
- MathSciNet review: 2457415