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Noam D. Elkies
On Finite Sequences Satisfying Linear Recursions
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Published: |
May 1, 2002 |
Keywords: |
Hankel matrix, linear recursion, finite field, discrete Fourier transform, random Hankel matrix |
Subject: |
47B35, 15A57 |
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Abstract
For any field k and any integers m,n
with 0 ≦ 2m ≦ n+1, let Wn be the k-vector space
of sequences (x0,...,xn), and let Hm ⊂ Wn be the
subset of sequences satisfying a degree-m linear recursion
-- that is, for which there exist a0,...,am∈ k,
not all zero, such that
∑i=0m ai xi+j = 0
holds for each j=0,1,...,n-m. Equivalently, Hm is the set
of (x0,...,xn) such that the (m+1)×(n-m+1) matrix
with (i,j) entry xi+j (0≦ i ≦ m, 0≦ j ≦ n-m)
has rank at most m. We use elementary linear and polynomial algebra
to study these sets Hm. In particular, when k is a finite field
of q elements, we write the characteristic function of Hm as a
linear combination of characteristic functions of linear subspaces
of dimensions m and m+1 in Wn. We deduce a formula
for the discrete Fourier transform of this characteristic function,
and obtain some consequences. For instance, if the 2m+1 entries
of a square Hankel matrix of order m+1 are chosen independently from
a fixed but not necessarily uniform distribution μ on k,
then as m → ∞ the matrix is singular with probability
approaching 1/q provided ||μhat||1 < q1/2.
This bound q1/2 is best possible if q is a square.
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Acknowledgements
Supported in part by the Packard Foundation
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Author information
Department of Mathematics, Harvard University, Cambridge, MA 02138
elkies@math.harvard.edu
http://www.math.harvard.edu/~elkies/
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