Infinite families of LCD codes and their weight distributions

Abstract We construct infinite families of binary or ternary linear complementary dual (LCD) codes, which arise from some families of self-orthogonal codes associated with simplicial complexes or multi-variable functions. We find explicit criteria for self-orthogonal codes to preserve self-orthogonality after augmentation. For the construction of LCD codes, we either directly use some families of self-orthogonal codes or we use the augmented codes of these self-orthogonal code families. As a result, we obtain several infinite families of binary or ternary LCD codes, which include LCD-optimal families and at least LCD-almost optimal families; we also present their weight distributions. We mention that our LCD code families are new compared with the data summarized in [27, Table 5] based on the previously known LCD code families.

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Publication Details

Journal
Applicable Algebra in Engineering Communication and Computing
Published
2026-09-04
DOI
https://doi.org/10.1007/s00200-026-00756-3
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.00

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article

Infinite families of LCD codes and their weight distributions

Nilay Kumar Mondal, Yoonjin Lee
Applicable Algebra in Engineering Communication and Computing
Coding theory and cryptography
article

Infinite families of LCD codes and their weight distributions

Nilay Kumar Mondal, Yoonjin Lee
article en

Abstract

Abstract We construct infinite families of binary or ternary linear complementary dual (LCD) codes, which arise from some families of self-orthogonal codes associated with simplicial complexes or multi-variable functions. We find explicit criteria for self-orthogonal codes to preserve self-orthogonality after augmentation. For the construction of LCD codes, we either directly use some families of self-orthogonal codes or we use the augmented codes of these self-orthogonal code families. As a result, we obtain several infinite families of binary or ternary LCD codes, which include LCD-optimal families and at least LCD-almost optimal families; we also present their weight distributions. We mention that our LCD code families are new compared with the data summarized in [27, Table 5] based on the previously known LCD code families.

Applicable Algebra in Engineering Communication and Computing
Ewha Womans University (KR), SRM Institute of Science and Technology (IN)
Ewha Womans University
Openalex Percentile: Top 8%
Coding theory and cryptography
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