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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. #: if # Multiplying a vector by a positive number changes its length without changing its direction. Moreover, #: for any scalar # 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. #: 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 : if and only if . A useful variation of the triangle inequality is : 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 on the field of scalars. When the scalar field is (or more generally a subset of ), this is usually taken to be the ordinary absolute value, but other choices are possible. For example, for a vector space over one could take 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)』 ■ウィキペディアで「normed vector space」の詳細全文を読む スポンサード リンク
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