paper

Lower bounds on maximal determinants of binary matrices via the probabilistic method

arXiv:1402.6817

Abstract

Let be the maximal determinant for -matrices, and be the ratio of to the Hadamard upper bound. We give several new lower bounds on in terms of , where , is the order of a Hadamard matrix, and is maximal subject to . A relatively simple bound is \[{\mathcal R}(n) \ge \left(\frac{2}{πe}\right)^{d/2} \left(1 - d^2\left(\fracπ{2h}\right)^{1/2}\right) \;\text{ for all }\; n \ge 1.\] An asymptotically sharper bound is \[{\mathcal R}(n) \ge \left(\frac{2}{πe}\right)^{d/2} \exp\left(d\left(\fracπ{2h}\right)^{1/2} + \; O\left(\frac{d^{5/3}}{h^{2/3}}\right)\right).\] We also show that \[{\mathcal R}(n) \ge \left(\frac{2}{πe}\right)^{d/2}\] if and is sufficiently large, the threshold being independent of , or for all if (which would follow from the Hadamard conjecture). The proofs depend on the probabilistic method, and generalise previous results that were restricted to the cases and .

37 pages, 2 tables, 59 references. Added some references in v2, fixed typos in v3 and v4, added footnote 2 on page 13 re proof of Lemma 12 in v5, revised footnote 2 in v6

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