线性标签代码的根晶格使用Gröbner的基础

IF 0.6 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Malihe Aliasgari, Daniel Panario, Mohammad-Reza Sadeghi
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引用次数: 0

摘要

网格的标签代码在网格的表征中起着关键作用。每个网格都可以用一个标签码L和一个正交子网格\(\Lambda '\)来描述,这样\(\Lambda /\Lambda '\cong L\).我们确定了与整数点阵相关的二项式理想,然后建立了点阵的理想商和它的标码之间的关系。此外,我们还提出了著名的根网格 \(D_n\)的格伯纳基础。作为关系 \(I_{\Lambda }=I_{\Lambda '}+I_{L}\) 的应用,其中 \(I_{\Lambda },I_{\Lambda '}\) 和 \(I_L\) 分别表示与 \(\Lambda ,~\Lambda '\) 和 L 相关联的二项式理想,使用它的格勒伯纳基可以得到 \(D_n\) 的线性标签编码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Linear label code of a root lattice using Gröbner bases

Linear label code of a root lattice using Gröbner bases

Linear label code of a root lattice using Gröbner bases

The label code of a lattice plays a key role in the characterization of the lattice. Every lattice \(\Lambda\) can be described in terms of a label code L and an orthogonal sublattice \(\Lambda '\) such that \(\Lambda /\Lambda '\cong L\). We identify the binomial ideal associated to an integer lattice and then establish a relation between the ideal quotient of the lattice and its label code. Furthermore, we present the Gröbner basis of the well-known root lattice \(D_n\). As an application of the relation \(I_{\Lambda }=I_{\Lambda '}+I_{L}\), where \(I_{\Lambda },I_{\Lambda '}\) and \(I_L\) denote binomial ideals associated to \(\Lambda ,~\Lambda '\) and L, respectively, a linear label code of \(D_n\) is obtained using its Gröbner basis.

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来源期刊
Applicable Algebra in Engineering Communication and Computing
Applicable Algebra in Engineering Communication and Computing 工程技术-计算机:跨学科应用
CiteScore
2.90
自引率
14.30%
发文量
48
审稿时长
>12 weeks
期刊介绍: Algebra is a common language for many scientific domains. In developing this language mathematicians prove theorems and design methods which demonstrate the applicability of algebra. Using this language scientists in many fields find algebra indispensable to create methods, techniques and tools to solve their specific problems. Applicable Algebra in Engineering, Communication and Computing will publish mathematically rigorous, original research papers reporting on algebraic methods and techniques relevant to all domains concerned with computers, intelligent systems and communications. Its scope includes, but is not limited to, vision, robotics, system design, fault tolerance and dependability of systems, VLSI technology, signal processing, signal theory, coding, error control techniques, cryptography, protocol specification, networks, software engineering, arithmetics, algorithms, complexity, computer algebra, programming languages, logic and functional programming, algebraic specification, term rewriting systems, theorem proving, graphics, modeling, knowledge engineering, expert systems, and artificial intelligence methodology. Purely theoretical papers will not primarily be sought, but papers dealing with problems in such domains as commutative or non-commutative algebra, group theory, field theory, or real algebraic geometry, which are of interest for applications in the above mentioned fields are relevant for this journal. On the practical side, technology and know-how transfer papers from engineering which either stimulate or illustrate research in applicable algebra are within the scope of the journal.
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