Subalgebras in K[x] of small codimension

IF 0.6 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rode Grönkvist, Erik Leffler, Anna Torstensson, Victor Ufnarovski
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引用次数: 0

Abstract

We introduce the concept of subalgebra spectrum, Sp(A), for a subalgebra A of finite codimension in \(\mathbb {K}[x]\). The spectrum is a finite subset of the underlying field. We also introduce a tool, the characteristic polynomial of A, which has the spectrum as its set of zeroes. The characteristic polynomial can be computed from the generators of A, thus allowing us to find the spectrum of an algebra given by generators. We proceed by using the spectrum to get descriptions of subalgebras of finite codimension. More precisely we show that A can be described by a set of conditions that each is either of the type \(f(\alpha )=f(\beta )\) for \(\alpha ,\beta\) in Sp(A) or of the type stating that some linear combination of derivatives of different orders evaluated in elements of Sp(A) equals zero. We use these types of conditions to, by an inductive process, find explicit descriptions of subalgebras of codimension up to three. These descriptions also include SAGBI bases for each family of subalgebras.

小余维K[x]中的子代数
对于\(\mathbb {K}[x]\)中有限余维的子代数A,我们引入了子代数谱Sp(A)的概念。谱是底层场的有限子集。我们还引入了一个工具,a的特征多项式,它的谱是它的一组零。特征多项式可以从A的产生器中计算出来,从而使我们能够找到由产生器给出的代数的谱。我们利用谱得到有限余维子代数的描述。更准确地说,我们证明A可以用一组条件来描述,这些条件要么是Sp(A)中\(\alpha ,\beta\)的\(f(\alpha )=f(\beta )\)类型,要么是Sp(A)中不同阶导数的某些线性组合等于零的类型。我们利用这些条件,通过归纳过程,找到余维数不超过3的子代数的显式描述。这些描述还包括每个子代数族的SAGBI基。
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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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