Diskretnaya Matematika, Tome 19 (2007) no. 2, pp. 85-93
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A. N. Alekseichuk. Non-asymptotic bounds for probabilities of the rank of a random matrix over a finite field. Diskretnaya Matematika, Tome 19 (2007) no. 2, pp. 85-93. http://geodesic.mathdoc.fr/item/DM_2007_19_2_a9/
@article{DM_2007_19_2_a9,
author = {A. N. Alekseichuk},
title = {Non-asymptotic bounds for probabilities of the rank of a~random matrix over a~finite field},
journal = {Diskretnaya Matematika},
pages = {85--93},
year = {2007},
volume = {19},
number = {2},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/DM_2007_19_2_a9/}
}
TY - JOUR
AU - A. N. Alekseichuk
TI - Non-asymptotic bounds for probabilities of the rank of a random matrix over a finite field
JO - Diskretnaya Matematika
PY - 2007
SP - 85
EP - 93
VL - 19
IS - 2
UR - http://geodesic.mathdoc.fr/item/DM_2007_19_2_a9/
LA - ru
ID - DM_2007_19_2_a9
ER -
%0 Journal Article
%A A. N. Alekseichuk
%T Non-asymptotic bounds for probabilities of the rank of a random matrix over a finite field
%J Diskretnaya Matematika
%D 2007
%P 85-93
%V 19
%N 2
%U http://geodesic.mathdoc.fr/item/DM_2007_19_2_a9/
%G ru
%F DM_2007_19_2_a9
We consider a random $(n+s)\times n$ matrix $A$ with independent rows over a field of $q$ elements. In terms of the Fourier coefficients of distributions of the rows of this matrix we obtain expressions of upper and (in the case where the Fourier coefficients are non-negative quantities) lower bounds for probabilities of values of its rank. We find an upper bound for the distance in variation between the distributions of ranks of the matrix $A$ and a random equiprobable matrix. We present a condition for this distance to tend to zero as $n\to\infty$ and $s$ is fixed and demonstrate that this condition, in some natural sense, cannot be weakened.
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