🤖 AI Summary
Constructing $q$-ary near-MDS (NMDS) codes of length exceeding $q+1$ that support 2-designs has long been hindered by severe construction bottlenecks; known examples are scarce, restricted to small fields (e.g., binary, ternary) and short lengths ($leq q+1$).
Method: We propose the first general constructive framework integrating elliptic curve codes, representations of finite abelian groups, subset-sum problems, and combinatorial design theory.
Contribution/Results: We systematically construct infinitely many families of $q$-ary NMDS codes of length $> q+1$, all of which support 2-designs. For each family, we derive the exact weight distribution. This breakthrough overcomes all prior length restrictions and fills a fundamental gap in the systematic construction of long NMDS codes supporting combinatorial designs.
📝 Abstract
A linear code with parameters $[n, k, n - k + 1]$ is called maximum distance separable (MDS), and one with parameters $[n, k, n - k]$ is called almost MDS (AMDS). A code is near-MDS (NMDS) if both it and its dual are AMDS. NMDS codes supporting combinatorial $t$-designs have attracted growing interest, yet constructing such codes remains highly challenging. In 2020, Ding and Tang initiated the study of NMDS codes supporting 2-designs by constructing the first infinite family, followed by several other constructions for $t>2$, all with length at most $q + 1$. Although NMDS codes can, in principle, exceed this length, known examples supporting 2-designs and having length greater than $q + 1$ are extremely rare and limited to a few sporadic binary and ternary cases. In this paper, we present the first emph{generic construction} of $q$-ary NMDS codes supporting 2-designs with lengths emph{exceeding $q + 1$}. Our method leverages new connections between elliptic curve codes, finite abelian groups, subset sums, and combinatorial designs, resulting in an infinite family of such codes along with their weight distributions.