Additive codes attaining the Griesmer bound
Sascha Kurz
TL;DR
The paper addresses the problem of achieving optimal length-parameter tradeoffs for additive codes and shows that a Griesmer-type bound can be attained with equality when the minimum distance is large, revealing optimal additive-parameter codes that outperform linear ones.The authors extend the Solomon–Stiffler construction to the additive setting within a Galois-geometric framework, mapping codes to faithful projective h-(n,r,s)_q systems and leveraging incidence/partition techniques to construct large families of codes.Key contributions include a generalized constructive scheme with a parametric representation of the minimum distance $d=\sigma q^{k-1}-\sum \varepsilon_i q^{i-1}$ that yields Griesmer-bound-attaining additive codes, a Smith-normal-form approach to feasibility questions, and extensive small-parameter results across binary, ternary, and higher-field cases demonstrating numerous instances where additive codes outperform linear codes.Together these results deepen the understanding of additive-code performance, provide practical constructions for large-distance regimes, and offer computational and asymptotic tools for exploring optimal additive codes in diverse parameter regimes.
Abstract
Additive codes may have better parameters than linear codes. However, still very few cases are known and the explicit construction of such codes is a challenging problem. Here we show that a Griesmer type bound for the length of additive codes can always be attained with equality if the minimum distance is sufficiently large. This solves the problem for the optimal parameters of additive codes when the minimum distance is large and yields many infinite series of additive codes that outperform linear codes.
