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Recursive decoding of binary rank Reed-Muller codes and Plotkin construction for matrix codes

Alain Couvreur, Rakhi Pratihar

TL;DR

The paper addresses decoding of binary-like rank-metric Reed–Muller codes defined via skew group algebras and introduces a recursive Plotkin-inspired decoding that corrects up to half the minimum distance with improved asymptotic complexity over prior Dickson-matrix approaches. The method relies on a recursive Kummer/Artin–Schreier structure to fold and erasure-decode, yielding a rank-metric analogue of the Plotkin (u|u+v) construction that extends to matrix codes. It provides detailed complexity analyses, fast-syndrome techniques, and probabilistic guarantees for folding-preservation of rank, along with experimental validation. The Plotkin construction is then adapted to matrix codes over finite fields, producing new families of efficiently decodable rank-metric codes that are not equivalent to Gabidulin codes, with practical decoding strategies and implications for code design in rank-metric settings.

Abstract

In 2021, Augot, Couvreur, Lavauzelle and Neri introduced a new class of rank metric codes which can be regarded as rank metric counterparts of Reed-Muller codes. Given a finite Galois extension $\mathbb{L} / \mathbb{K}$, these codes are defined as some specific $\mathbb{L}$-subspaces of the twisted group algebra $\mathbb{L} [\textrm{G}]$. We investigate the decoding of such codes in the "binary" case, \emph{i.e.,} when $\textrm{G} = (\mathbb{Z}/2\mathbb{Z})^m$. Our approach takes its inspiration from the decoding of Hamming metric binary Reed-Muller codes using their recursive Plotkin "$(u ~|~ u+v)$" structure. If our recursive algorithm restricts to a specific subclass of rank metric Reed-Muller codes, its asymptotic complexity beats that of the recently proposed decoding algorithm for arbitrary rank metric Reed-Muller codes based on Dickson matrices. Also, this decoder is of completely different nature and leads a natural rank metric counterpart of the Plotkin construction. To illustrate this, we also propose a generic Plotkin-like construction for matrix rank metric codes with an associate decoder, which can be applied to any pair of codes equipped with an efficient decoder.

Recursive decoding of binary rank Reed-Muller codes and Plotkin construction for matrix codes

TL;DR

The paper addresses decoding of binary-like rank-metric Reed–Muller codes defined via skew group algebras and introduces a recursive Plotkin-inspired decoding that corrects up to half the minimum distance with improved asymptotic complexity over prior Dickson-matrix approaches. The method relies on a recursive Kummer/Artin–Schreier structure to fold and erasure-decode, yielding a rank-metric analogue of the Plotkin (u|u+v) construction that extends to matrix codes. It provides detailed complexity analyses, fast-syndrome techniques, and probabilistic guarantees for folding-preservation of rank, along with experimental validation. The Plotkin construction is then adapted to matrix codes over finite fields, producing new families of efficiently decodable rank-metric codes that are not equivalent to Gabidulin codes, with practical decoding strategies and implications for code design in rank-metric settings.

Abstract

In 2021, Augot, Couvreur, Lavauzelle and Neri introduced a new class of rank metric codes which can be regarded as rank metric counterparts of Reed-Muller codes. Given a finite Galois extension , these codes are defined as some specific -subspaces of the twisted group algebra . We investigate the decoding of such codes in the "binary" case, \emph{i.e.,} when . Our approach takes its inspiration from the decoding of Hamming metric binary Reed-Muller codes using their recursive Plotkin "" structure. If our recursive algorithm restricts to a specific subclass of rank metric Reed-Muller codes, its asymptotic complexity beats that of the recently proposed decoding algorithm for arbitrary rank metric Reed-Muller codes based on Dickson matrices. Also, this decoder is of completely different nature and leads a natural rank metric counterpart of the Plotkin construction. To illustrate this, we also propose a generic Plotkin-like construction for matrix rank metric codes with an associate decoder, which can be applied to any pair of codes equipped with an efficient decoder.
Paper Structure (45 sections, 19 theorems, 111 equations, 3 algorithms)

This paper contains 45 sections, 19 theorems, 111 equations, 3 algorithms.

Key Result

Theorem 2.3

Any element $A = \sum_\texttt{g} a_\texttt{g} \texttt{g} \in \mathbb{L}[\textrm{G}]$ defines a $\mathbb{K}$-endomorphism of $\mathbb{L}$ that sends $x \in \mathbb{L}$ to $\sum_\texttt{g}{a_\texttt{g}\texttt{g}(x)}$. This correspondence induces a $\mathbb{K}$-linear isomorphism between $\mathbb{L}[\t

Theorems & Definitions (56)

  • Remark 2.1
  • Remark 2.2
  • Theorem 2.3
  • proof
  • Remark 2.4
  • Definition 2.5
  • Remark 2.6
  • Definition 2.7
  • Remark 2.8
  • Remark 2.9
  • ...and 46 more