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normed vector space : ウィキペディア英語版
normed vector space
In mathematics, with 2- or 3-dimensional vectors with real-valued entries, the idea of the "length" of a vector is intuitive and can easily be extended to any real vector space R''n''. The following properties of "vector length" are crucial.
# The zero vector, 0, has zero length; every other vector has a positive length.
#: \|x\|> 0 if x\ne0
# Multiplying a vector by a positive number changes its length without changing its direction. Moreover,

#: \|\alpha x\|=|\alpha| \|x\| for any scalar \alpha.
# The triangle inequality holds. That is, taking norms as distances, the distance from point A through B to C is never shorter than going directly from A to C, or the shortest distance between any two points is a straight line.
#: \|x+y\| \le \|x\|+\|y\| for any vectors x and y. (triangle inequality)
The generalization of these three properties to more abstract vector spaces leads to the notion of norm. A vector space on which a norm is defined is then called a normed vector space.
Normed vector spaces are central to the study of linear algebra and functional analysis.
==Definition==
A normed vector space is a pair (''V'', ‖·‖ ) where ''V'' is a vector space and ‖·‖ a norm on ''V''.
A seminormed vector space is a pair (''V'',''p'') where ''V'' is a vector space and ''p'' a seminorm on ''V''.
We often omit ''p'' or ‖·‖ and just write ''V'' for a space if it is clear from the context what (semi) norm we are using.
In a more general sense, a vector norm can be taken to be any real-valued function that satisfies these three properties. The properties 1. and 2. together imply that
:\|x\|= 0 if and only if x=0.
A useful variation of the triangle inequality is
:\|x-y\| \ge | \|x\|-\|y\| | for any vectors x and y.
This also shows that a vector norm is a continuous function.
Note that property 2 depends on a choice of norm |\alpha| on the field of scalars. When the scalar field is \mathbb R (or more generally a subset of \mathbb C), this is usually taken to be the ordinary absolute value, but other choices are possible. For example, for a vector space over \mathbb Q one could take |\alpha| to be the ''p''-adic norm, which gives rise to a different class of normed vector spaces.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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