DMTCS Proceedings, Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities

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
n
the number of rows, then the threshold is at
m
n
d
log
(n)
, where
α
d
only depends on the dimension
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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