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arXiv · 2411.19087

A geometric invariant of linear rank-metric codes

Valentina Astore·Martino Borello·Marco Calderini·Flavio Salizzoni
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Abstract

Rank-metric codes have been a central topic in coding theory due to their theoretical and practical significance, with applications in network coding, distributed storage, crisscross error correction, and post-quantum cryptography. Recent research has focused on constructing new families of rank-metric codes with distinct algebraic structures, emphasizing the importance of invariants for distinguishing these codes from known families and from random ones. In this paper, we introduce a novel geometric invariant for linear rank-metric codes, inspired by the Schur product used in the Hamming metric. By examining the sequence of dimensions of Schur powers of the extended Hamming code associated with a linear code, we demonstrate its ability to differentiate Gabidulin codes from random ones. From a geometric perspective, this approach investigates the vanishing ideal of the linear set corresponding to the rank-metric code.

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Valentina Astore, Martino Borello, Marco Calderini, Flavio Salizzoni. 2024-11-28. A geometric invariant of linear rank-metric codes. https://doi.org/10.1137/24m1713910

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