On upper bounds on the smallest size of a saturating set in a projective plane
Abstract: 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 $ 2c\sqrt{(q+1)\ln(q+1)}+2\le k<\frac{q<sup>{2}-1}{q+2}\thicksim</sup> q$ 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 ${\binom{{#(\ell \,\cap S)}}{{2}}}.$ 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.
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