度量空间

Christian Clason
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引用次数: 52

摘要

随着微积分的发展,最终转化为分析,首先在实数线上探索的概念(例如,实数序列的极限)最终扩展到其他空间(例如,向量序列或函数序列的极限),并在20世纪初制定了分析的一般设置,称为度量空间。它是一个集合,在这个集合上定义了每对元素之间的距离概念,并且可以研究R中的微积分概念(开闭区间、收敛序列、连续函数)。分析中使用的许多基本类型的空间都是度量空间(例如,希尔伯特空间和巴拿赫空间),因此度量空间是学习分析必须掌握的第一个抽象概念之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metric Spaces
As calculus developed, eventually turning into analysis, concepts first explored on the real line (e.g., a limit of a sequence of real numbers) eventually extended to other spaces (e.g., a limit of a sequence of vectors or of functions), and in the early 20th century a general setting for analysis was formulated, called a metric space. It is a set on which a notion of distance between each pair of elements is defined, and in which notions from calculus in R (open and closed intervals, convergent sequences, continuous functions) can be studied. Many of the fundamental types of spaces used in analysis are metric spaces (e.g., Hilbert spaces and Banach spaces), so metric spaces are one of the first abstractions that has to be mastered in order to learn analysis.
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