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Self-Dual Codes, Symmetric Matrices, and Eigenvectors

Author(s)
Kim, Jon-LarkChoi, Whan-Hyuk
Issued Date
2021-07
DOI
10.1109/ACCESS.2021.3099434
URI
https://scholarworks.unist.ac.kr/handle/201301/53552
Fulltext
https://ieeexplore.ieee.org/document/9494366
Citation
IEEE ACCESS, v.9, pp.104294 - 104303
Abstract
We introduce a consistent and efficient method to construct self-dual codes over GF (q) using symmetric matrices and eigenvectors from a self-dual code over GF (q) of smaller length where q equivalent to 1 (mod 4). Using this method, which is called a 'symmetric building-up' construction, we improve the bounds of the best-known minimum weights of self-dual codes with lengths up to 40, which have not significantly improved for almost two decades. We focus on a class of self-dual codes, which includes double circulant codes. We obtain 2967 new self-dual codes over GF (13) and GF (17) up to equivalence. We also compute the minimum weights of quadratic residue(QR) codes that were previously unknown. These are a [20,10,10] QR self-dual code over GF (23), [24,12,12] QR self-dual codes over GF (29) and GF (41), and a [32,16,14] QR self-dual code over GF (19). They have the highest minimum weights so far.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
2169-3536
Keyword (Author)
quadratic residue codesself-dual codessymmetric matrixsymmetric self-dual codesEigenvectorsoptimal codes
Keyword
MDS CODESCLASSIFICATIONENUMERATION

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