Conference matrices are used to define complex structures on real vector spaces. Certain lattices in these spaces become modules for rings of quadratic integers. Multiplication of these lattices by nonprincipal ideals yields simple constructions of further lattices including the Leech lattice.
Unimodular Matrices and Parsons Numbers
β Scribed by Aiden Bruen; David Wehlau; Zhang Zhaoji
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 185 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0097-3165
No coin nor oath required. For personal study only.
β¦ Synopsis
Let [A 1 , ..., A m ] be a set of m matrices of size n_n over the field F such that A i # SL(n, F) for 1 i m and such that A i &A j # SL(n, F) for 1 i< j m. The largest integer m for which such a set exists is called the Parsons number for n and F, denoted m(n, F). We will call such a set of m(n, F) matrices a Parsons set: such a set arises in a combinatorial setting (see [Z]). Parsons asserted (see [Z]) that m(n, F q ) q n if F q is the Galois field of order q. Here we will consider the case n=2. Our result is the following.
Theorem. Let F be any field. Let p be the characteristic of F ( possibly zero). Then 2 m(2, F) 5. Moreover, m(2, F)=5 if and only if p=5 and F contains a primitive cube root of unity. If p=3 then 3 m(2, F) 4, and m(2, F)=4 if and only if F contains a square root of &1. Finally if p{2, 3 and F contains a square root of &3, then m(2, F)=4 or m(2, F)=3 according as F does or does not contain a square root of 33.
π SIMILAR VOLUMES
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