2012
DOI: 10.48550/arxiv.1211.3248
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Lower bounds on maximal determinants of +-1 matrices via the probabilistic method

Abstract: We show that the maximal determinant D(n) for n × n {±1}-Here n n/2 is the Hadamard upper bound, and κ d depends only on d := n − h, where h is the maximal order of a Hadamard matrix with h ≤ n. Previous lower bounds on R(n) depend on both d and n. Our bounds are improvements, for all sufficiently large n, if d > 1.We give various lower bounds on R(n) that depend only on d. For example, R(n) ≥ 0.07 (0.352) d > 3 −(d+3) . For any fixed d ≥ 0 we have R(n) ≥ (2/(πe)) d/2 for all sufficiently large n (and conjectu… Show more

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Cited by 4 publications
(6 citation statements)
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“…The same approach gives weak results for d > 3 because of the large number (d! − 1) of off-diagonal terms (see [6,Theorem 1]). Theorem 3.6.…”
Section: A Probabilistic Lower Boundmentioning
confidence: 99%
“…The same approach gives weak results for d > 3 because of the large number (d! − 1) of off-diagonal terms (see [6,Theorem 1]). Theorem 3.6.…”
Section: A Probabilistic Lower Boundmentioning
confidence: 99%
“…The right-handside of eqn. (10), which by [9, Corollary 3.1] is a lower bound on the number of vanishing minors in this non-Hadamard case, gives 1362 (rounded up).…”
Section: Further Results and Observations On Minorsmentioning
confidence: 99%
“…Remark 3. It should be possible to sharpen Theorems 2-3 by using the (asymptotically sharper) bounds on D(m) given in [10] instead of the bound of Proposition 1 (this is work in progress).…”
Section: Excluded Minors Of Hadamard Matricesmentioning
confidence: 99%
“…In Corollary 1 we relax the condition on a ii to a one-sided constraint a ii ≥ 1−δ. The results have applications to proofs of lower bounds for the Hadamard maximal determinant problem; this was our original motivation (see [4,5]). Regarding other reasons for considering bounds on determinants, we refer to Bornemann [3, footnote 4].…”
Section: Introductionmentioning
confidence: 99%