Introduction to Algebraic Geometry

IF 1 Q1 MATHEMATICS Formalized Mathematics Pub Date : 2023-09-01 DOI:10.2478/forma-2023-0007
Yasushige Watase
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Abstract

Summary A classical algebraic geometry is study of zero points of system of multivariate polynomials [3], [7] and those zero points would be corresponding to points, lines, curves, surfaces in an affine space. In this article we give some basic definition of the area of affine algebraic geometry such as algebraic set, ideal of set of points, and those properties according to [4] in the Mizar system[5], [2]. We treat an affine space as the n -fold Cartesian product k n as the same manner appeared in [4]. Points in this space are identified as n -tuples of elements from the set k . The formalization of points, which are n -tuples of numbers, is described in terms of a mapping from n to k , where the domain n corresponds to the set n = { 0, 1, . . ., n − 1 } , and the target domain k is the same as the scalar ring or field of polynomials. The same approach has been applied when evaluating multivariate polynomials using n -tuples of numbers [10]. This formalization aims at providing basic notions of the field which enable to formalize geometric objects such as algebraic curves which is used e.g. in coding theory [11] as well as further formalization of the fields [8] in the Mizar system, including the theory of polynomials [6].
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代数几何导论
经典代数几何研究的是多元多项式系统的零点[3]、[7],这些零点对应于仿射空间中的点、线、曲线、曲面。本文根据Mizar系统[5],[2][4]给出仿射代数几何中代数集、点集的理想等面积的一些基本定义。我们将仿射空间视为n倍笛卡尔积k n,与[4]中出现的方式相同。这个空间中的点被标识为集合k中元素的n元组。点是数字的n元组,它们的形式化是用n到k的映射来描述的,其中定义域n对应于集合n ={0,1,…,n - 1},目标定义域k与多项式的标量环或域相同。同样的方法也被应用于使用n -元组的数来评估多元多项式[10]。这种形式化旨在提供域的基本概念,使其能够形式化几何对象,例如编码理论[11]中使用的代数曲线,以及Mizar系统中域的进一步形式化[8],包括多项式理论[6]。
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来源期刊
Formalized Mathematics
Formalized Mathematics MATHEMATICS-
自引率
0.00%
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审稿时长
10 weeks
期刊介绍: Formalized Mathematics is to be issued quarterly and publishes papers which are abstracts of Mizar articles contributed to the Mizar Mathematical Library (MML) - the basis of a knowledge management system for mathematics.
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