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ESAIM: PS, July 2009, Vol. 13, p. 437-458
DOI: 10.1051/ps:2008012
On the reduction of a random basis
Ali Akhavi1, Jean-François Marckert2 and Alain Rouault31 LIAFA, Université Denis Diderot, Case 7014, 2 place Jussieu, 75251 Paris Cedex 05, France; akhavi@liafa.jussieu.fr
2 LABRI, Université Bordeaux I, 351 cours de la Libération, 33405 Talence Cedex, France; marckert@labri.fr
3 LMV UMR 8100, Université Versailles-Saint-Quentin, 45 avenue des États-Unis, 78035 Versailles Cedex, France; Alain.Rouault@math.uvsq.fr
Received October 6, 2006. Revised October 23, 2007 and July 9, 2009. Published online 22 September 2009
Abstract
For
, let
be independent random vectors in
with the same distribution invariant by
rotation and without mass at the origin. Almost surely these vectors form a basis for the Euclidean lattice they generate. The topic of
this paper is the property of reduction of this random basis in the sense of Lenstra-Lenstra-Lovász (LLL). If
is the basis obtained from
by Gram-Schmidt orthogonalization, the quality of the reduction depends
upon the sequence of ratios of squared lengths of consecutive vectors
,
. We show that as
the process
tends in distribution
in some sense to an explicit process
; some properties of the latter are provided. The probability that a random
random basis is s-LLL-reduced is then showed to converge for p=n-g, and g fixed, or
.
Mathematics Subject Classification. 15A52, 15A03, 60B12, 60F99, 06B99, 68W40
Key words: Random matrices, random basis, orthogonality index, determinant, lattice reduction.
© EDP Sciences, SMAI 2009
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