The MacWilliams identity for the skew rank metric

IF 0.7 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Advances in Mathematics of Communications Pub Date : 2023-01-01 DOI:10.3934/amc.2023045
Izzy Friedlander, Thanasis Bouganis, Maximilien Gadouleau
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Abstract

The weight distribution of an error correcting code is a crucial statistic in determining its performance. One key tool for relating the weight of a code to that of it's dual is the MacWilliams Identity, first developed for the Hamming metric. This identity has two forms: one is a functional transformation of the weight enumerators, while the other is a direct relation of the weight distributions via (generalised) Krawtchouk polynomials. The functional transformation form can in particular be used to derive important moment identities for the weight distribution of codes. In this paper, we focus on codes in the skew rank metric. In these codes, the codewords are skew-symmetric matrices, and the distance between two matrices is the skew rank metric, which is half the rank of their difference. This paper develops a $ q $-analog MacWilliams Identity in the form of a functional transformation for codes based on skew-symmetric matrices under their associated skew rank metric. The method introduces a skew-$ q $ algebra and uses generalised Krawtchouk polynomials. Based on this new MacWilliams Identity, we then derive several moments of the skew rank distribution for these codes.
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倾斜等级度量的MacWilliams恒等式
纠错码的权值分布是决定纠错码性能的重要统计量。将码的权重与其对偶的权重联系起来的一个关键工具是MacWilliams恒等式,它最初是为汉明度量开发的。这个恒等式有两种形式:一种是权重枚举数的函数变换,而另一种是通过(广义)克劳楚克多项式的权重分布的直接关系。该函数变换形式可用于推导码权分布的重要矩恒等式。在本文中,我们主要研究歪斜秩度量中的代码。在这些码中,码字是偏对称矩阵,两个矩阵之间的距离是偏秩度量,它是它们差的秩的一半。本文给出了基于斜对称矩阵的码在其相关的斜秩度量下的函数变换形式的$ q $-模拟MacWilliams恒等式。该方法引入了一个偏q代数,并使用了广义克劳楚克多项式。基于这个新的MacWilliams恒等式,我们得到了这些码的偏秩分布的几个矩。
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来源期刊
Advances in Mathematics of Communications
Advances in Mathematics of Communications 工程技术-计算机:理论方法
CiteScore
2.20
自引率
22.20%
发文量
78
审稿时长
>12 weeks
期刊介绍: Advances in Mathematics of Communications (AMC) publishes original research papers of the highest quality in all areas of mathematics and computer science which are relevant to applications in communications technology. For this reason, submissions from many areas of mathematics are invited, provided these show a high level of originality, new techniques, an innovative approach, novel methodologies, or otherwise a high level of depth and sophistication. Any work that does not conform to these standards will be rejected. Areas covered include coding theory, cryptology, combinatorics, finite geometry, algebra and number theory, but are not restricted to these. This journal also aims to cover the algorithmic and computational aspects of these disciplines. Hence, all mathematics and computer science contributions of appropriate depth and relevance to the above mentioned applications in communications technology are welcome. More detailed indication of the journal''s scope is given by the subject interests of the members of the board of editors.
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