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https://dx.doi.org/10.48550/ar...
Article . 2025
License: arXiv Non-Exclusive Distribution
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New upper bounds for binary linear covering codes

Authors: Davydov, Alexander A.; Marcugini, Stefano; Pambianco, Fernanda;

New upper bounds for binary linear covering codes

Abstract

The length function $\ell_2(r,R)$ is the smallest length of a binary linear code with codimension (redundancy) $r$ and covering radius $R$. We obtain the following new upper bounds on $\ell_2(r,R)$, which yield a decrease $Δ(r,R)$ compared to the best previously known upper bounds: \begin{equation*} R=2,\,r=2t,\,r=18,20,\text{ and }r\ge28,\,\ell_2(r,2)\le26\cdot2^{r/2-4}-1;\,Δ(r,2)=2^{r/2-4}. \end{equation*} \begin{equation*} R=3,\,r=3t-1,\,r=26\text{ and }r\ge44,\,\ell_2(r,3)\le819\cdot2^{(r-26)/3}-1;\,Δ(r,3)=2^{(r-23)/3}. \end{equation*} \begin{equation*} R=4,\,r=4t,\,r=40\text{ and }r\ge68,\,\ell_2(r,4)\le2943\cdot2^{r/4-10}-1;\,Δ(r,4)=2^{r/4-10}-1. \end{equation*} To obtain these bounds we construct new infinite code families, using distinct versions of the $q^m$-concatenating constructions of covering codes; some of these versions are proposed in this paper. We also introduce new useful partitions of column sets of parity check matrices of some codes. The asymptotic covering densities $\overlineμ(2)\thickapprox1.3203$, $\overlineμ(3)\thickapprox1.3643$, $\overlineμ(4)\thickapprox2.8428$, provided by the codes of the new families, are smaller than the known ones.

36 pages

Keywords

Combinatorics, 94B65, 94B25, 94B60, 94B05, FOS: Mathematics, Combinatorics (math.CO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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