S-constrained random matrices
Sylvain Gravier, Bernard Ycart
Abstract
Let
S
be a set of d
-dimensional row vectors with entries in a q
-ary alphabet. A matrix M
with entries in the same q
-ary alphabet is S
-constrained if every set of d
columns of M
contains as a submatrix a copy of the vectors in S
, up to permutation. For a given set S
of d
-dimensional vectors, we compute the asymptotic probability for a random matrix M
to be S
-constrained, as the numbers of rows and columns both tend to infinity. If n
is the number of columns and m=m
the number of rows, then the threshold is at n
m
, where n
=αd
log
(n)α
only depends on the dimension d
d
of vectors and not on the particular set S
. Applications to superimposed codes, shattering classes of functions, and Sidon families of sets are proposed. For d=2
, an explicit construction of a S
-constrained matrix is given.
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