Abstract
Let denote a random symmetric (-matrix, whose upper-diagonal entries are independent and identically distributed (i.i.d.) Bernoulli random variables (which take values and with probability ). We prove that is nonsingular with probability for any fixed . 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
Citation
Kevin P. Costello. Terence Tao. Van Vu. "Random symmetric matrices are almost surely nonsingular." Duke Math. J. 135 (2) 395 - 413, 1 November 2006. https://doi.org/10.1215/S0012-7094-06-13527-5
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