2021
DOI: 10.5802/crmath.215
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Singularity of random symmetric matrices – simple proof

Abstract: In this paper we give a simple, short, and self-contained proof for a non-trivial upper bound on the probability that a random ±1 symmetric matrix is singular.

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Cited by 6 publications
(3 citation statements)
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“…This is accomplished in the key Proposition 2·5. Finally, we note that an upper bound on the singularity probability of the form can be deduced for from estimates on the expected size of the kernel over due to [ 9 ], but for similar reasons to those mentioned above these estimates do not appear to extend to p which is larger than a small polynomial.…”
Section: Introductionmentioning
confidence: 73%
“…This is accomplished in the key Proposition 2·5. Finally, we note that an upper bound on the singularity probability of the form can be deduced for from estimates on the expected size of the kernel over due to [ 9 ], but for similar reasons to those mentioned above these estimates do not appear to extend to p which is larger than a small polynomial.…”
Section: Introductionmentioning
confidence: 73%
“…Since z 0 = 3 2 q 2 (s + t) log q ≤ 3q 2 t log q and s = 𝜔(log t), the above quantity is o(1). We have then established (5), which combined with (4) gives the desired conclusion. ▪…”
Section: Proofs Of Key Lemmasmentioning
confidence: 97%
“…The main difference between our approach and that of Scott is that when working with modulus q>2$$ q>2 $$, the arguments are more involved and more amenable to discrete Fourier analysis. Even though we do not believe that all of the Fourier‐type lemmas appearing in this paper are new, we included full proofs as they may be of independent interest (for example, for an application of these lemmas to the singularity problem of random symmetric Bernoulli matrices, the reader is referred to Reference [5]).…”
Section: Introductionmentioning
confidence: 99%