English

Lower bounds on maximal determinants of +-1 matrices via the probabilistic method

Combinatorics 2013-05-07 v3

Abstract

We show that the maximal determinant D(n) for n×nn \times n ±1{\pm 1}-matrices satisfies R(n):=D(n)/nn/2κd>0R(n) := D(n)/n^{n/2} \ge \kappa_d > 0. Here nn/2n^{n/2} is the Hadamard upper bound, and κd\kappa_d depends only on d:=nhd := n-h, where hh is the maximal order of a Hadamard matrix with hnh \le n. Previous lower bounds on R(n) depend on both dd and nn. Our bounds are improvements, for all sufficiently large nn, if d>1d > 1. We give various lower bounds on R(n) that depend only on dd. For example, R(n)0.07(0.352)d>3(d+3)R(n) \ge 0.07 (0.352)^d > 3^{-(d+3)}. For any fixed d0d \ge 0 we have R(n)(2/(πe))d/2R(n) \ge (2/(\pi e))^{d/2} for all sufficiently large nn (and conjecturally for all positive nn). If the Hadamard conjecture is true, then d3d \le 3 and κd(2/(πe))d/2>1/9\kappa_d \ge (2/(\pi e))^{d/2} > 1/9.

Keywords

Cite

@article{arxiv.1211.3248,
  title  = {Lower bounds on maximal determinants of +-1 matrices via the probabilistic method},
  author = {Richard P. Brent and Judy-anne H. Osborn and Warren D. Smith},
  journal= {arXiv preprint arXiv:1211.3248},
  year   = {2013}
}

Comments

32 pages, 64 references, 1 table. Theorem 4 added in v2. Minor improvements/corrections in v3