12 research outputs found
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
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
Grassmannians of codes
Consider the point line-geometry having as points all the -linear codes having minimum dual distance at least and where two points and are collinear whenever is a -linear code having minimum dual distance at least . We are interested in the collinearity graph of The graph is a subgraph of the Grassmann graph and also a subgraph of the graph of the linear codes having minimum dual distance at least introduced in~[M. Kwiatkowski, M. Pankov, On the distance between linear codes, Finite Fields Appl. 39 (2016), 251--263, doi:https://doi.org/10.1016/j.ffa.2016.02.004, arXiv:1506.00215]. We shall study the structure of in relation to that of and we will characterize the set of its isolated vertices. We will then focus on and providing necessary and sufficient conditions for them to be connected