4,897 research outputs found
On upper bounds on the smallest size of a saturating set in a projective plane
In a projective plane (not necessarily Desarguesian) of order
a point subset is saturating (or dense) if any point of is collinear with two points in. Using probabilistic methods, the
following upper bound on the smallest size of a saturating set in
is proved: \begin{equation*} s(2,q)\leq 2\sqrt{(q+1)\ln
(q+1)}+2\thicksim 2\sqrt{q\ln q}. \end{equation*} We also show that for any
constant a random point set of size in with is a saturating
set with probability greater than Our probabilistic
approach is also applied to multiple saturating sets. A point set is -saturating if for every point of the number of secants of through is at least , counted with
multiplicity. The multiplicity of a secant is computed as
The following upper bound on the smallest
size of a -saturating set in is proved:
\begin{equation*} s_{\mu }(2,q)\leq 2(\mu +1)\sqrt{(q+1)\ln (q+1)}+2\thicksim
2(\mu +1)\sqrt{ q\ln q}\,\text{ for }\,2\leq \mu \leq \sqrt{q}. \end{equation*}
By using inductive constructions, upper bounds on the smallest size of a
saturating set (as well as on a -saturating set) in the projective
space are obtained.
All the results are also stated in terms of linear covering codes.Comment: 15 pages, 24 references, misprints are corrected, Sections 3-5 and
some references are adde
Applications of finite geometry in coding theory and cryptography
We present in this article the basic properties of projective geometry, coding theory, and cryptography, and show how
finite geometry can contribute to coding theory and cryptography. In this way, we show links between three research areas, and in particular, show that finite geometry is not only interesting from a pure mathematical point of view, but also of interest for applications. We concentrate on introducing the basic concepts of these three research areas and give standard references for all these three research areas. We also mention particular results involving ideas from finite geometry, and particular results in cryptography involving ideas from coding theory
Binary and Ternary Quasi-perfect Codes with Small Dimensions
The aim of this work is a systematic investigation of the possible parameters
of quasi-perfect (QP) binary and ternary linear codes of small dimensions and
preparing a complete classification of all such codes. First we give a list of
infinite families of QP codes which includes all binary, ternary and quaternary
codes known to is. We continue further with a list of sporadic examples of
binary and ternary QP codes. Later we present the results of our investigation
where binary QP codes of dimensions up to 14 and ternary QP codes of dimensions
up to 13 are classified.Comment: 4 page
Small Strong Blocking Sets by Concatenation
Strong blocking sets and their counterparts, minimal codes, attracted lots of
attention in the last years. Combining the concatenating construction of codes
with a geometric insight into the minimality condition, we explicitly provide
infinite families of small strong blocking sets, whose size is linear in the
dimension of the ambient projective spaces. As a byproduct, small saturating
sets are obtained.Comment: 16 page
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