Shortest self-orthogonal embeddings of binary linear codes
Junmin An, Nathan Kaplan, Jon-Lark Kim, Jinquan Luo, Guodong Wang

TL;DR
This paper investigates the minimal length of self-orthogonal embeddings of binary linear codes, providing algorithms and constructions for optimal codes, including new parameters for certain dimensions and lengths.
Contribution
It introduces methods to determine shortest self-orthogonal embeddings using hull properties and constructs new optimal codes with novel parameters.
Findings
Shortest self-orthogonal embedding of Hamming codes is self-dual.
Algorithms for constructing self-dual codes from Hamming codes are proposed.
New optimal codes with previously unknown parameters are constructed.
Abstract
There has been recent interest in the study of shortest self-orthogonal embeddings of binary linear codes, since many such codes are optimal self-orthogonal codes. Several authors have studied the length of a shortest self-orthogonal embedding of a given binary code , or equivalently, the minimum number of columns that must be added to a generator matrix of to form a generator matrix of a self-orthogonal code. In this paper, we use properties of the hull of a linear code to determine the length of a shortest self-orthogonal embedding of any binary linear code. We focus on the examples of Hamming codes and Reed-Muller codes. We show that a shortest self-orthogonal embedding of a binary Hamming code is self-dual, and propose two algorithms to construct self-dual codes from Hamming codes . Using these algorithms, we construct a self-dual …
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Taxonomy
TopicsCoding theory and cryptography · Finite Group Theory Research · Error Correcting Code Techniques
