$r$-Minimal Codes with Respect to Rank Metric
Yang Xu, Haibin Kan, Guangyue Han
TL;DR
This work introduces $r$-minimal codes as a broad generalization of minimal codes across Hamming, rank, and sum-rank metrics, framed within a lattice-based, division-ring module setting. The authors develop a unifying sigma-map framework that specializes to standard metrics, establish a general Singleton-type bound, and prove existence results; they then connect $r$-minimal rank-metric codes to linear cutting $r$-blocking sets and generalized rank weights, deriving tight bounds on minimal length via evasive subspaces. A key contribution is the equivalence between $r$-minimality and cutting $r$-blocking sets, enabling dual-weight characterizations and a detailed study of minimal lengths, including explicit results such as $oldsymbol{ u}_{bE/bF}(k,1)$ bounds and exact values for small $m$ (notably $m=3$ gives $oldsymbol{ u}_{bE/bF}(k,1)=2k$). These results advance the understanding of the geometry–coding theory interplay in the rank and sum-rank settings and supply tools for constructing and bounding $r$-minimal codes in both finite and infinite alphabets.
Abstract
In this paper, we propose and study $r$-minimal codes, a natural extension of minimal codes which have been extensively studied with respect to Hamming metric, rank metric and sum-rank metric. We first propose $r$-minimal codes in a general setting where the ambient space is a finite dimensional left module over a division ring and is supported on a lattice. We characterize minimal subcodes and $r$-minimal codes, derive a general singleton bound, and give existence results for $r$-minimal codes by using combinatorial arguments. We then consider $r$-minimal rank metric codes over a field extension $\mathbb{E}/\mathbb{F}$ of degree $m$, where $\mathbb{E}$ can be infinite. We characterize these codes in terms of cutting $r$-blocking sets, generalized rank weights of the codes and those of the dual codes, and classify codes whose $r$-dimensional subcodes have constant rank support weight. Next, with the help of the evasiveness property of cutting $r$-blocking sets and some upper bounds for the dimensions of evasive subspaces, we derive several lower and upper bounds for the minimal length of $r$-minimal codes. Furthermore, when $\mathbb{E}$ is finite, we establish a general upper bound which generalizes and improves the counterpart for minimal codes in the literature. As a corollary, we show that if $m=3$, then for any $k\geqslant2$, the minimal length of $k$-dimensional minimal codes is equal to $2k$. To the best of our knowledge, when $m\geqslant3$, there was no known explicit formula for the minimal length of $k$-dimensional minimal codes for arbitrary $k$ in the literature.
