Examples of vector spaces: Difference between revisions

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This page lists some '''examples of vector spaces'''. See [[vector space]] for the definitions of terms used on this page. See also: [[dimension (vector space)|dimension]], [[basis (linear algebra)|basis]].
 
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[[File:Line equation qtl4.svg|thumb|Planar [[analytic geometry]] uses the coordinate space '''R'''<sup>2</sup>. ''Depicted:'' description of a [[line (geometry)|line]] as the [[equation solving#Solution sets|solution set]] in <math>\vec x</math> of the vector equation <math>\vec x \cdot \vec n = d</math>.]]
{{Main|Coordinate space}}
TheA originalbasic example of a vector space is the following. For any [[Positive number|positive]] [[integer]] ''n'', the [[Set (mathematics)|set]] of all ''n''-tuples of elements of ''F'' forms an ''n''-dimensional vector space over ''F'' sometimes called ''[[coordinate space]]'' and denoted ''F''<sup>''n''</sup>.<ref>{{Harvard citations|last = Lang|year = 1987|loc = ch. I.1|nb = yes}}</ref> An element of ''F''<sup>''n''</sup> is written
:<math>x = (x_1, x_2, \ldots, x_n) </math>
where each ''x''<sub>''i''</sub> is an element of ''F''. The operations on ''F''<sup>''n''</sup> are defined by
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===Several variables===
The set of [[polynomial]]s in several variables with coefficients in ''F'' is vector space over ''F'' denoted ''F''[''x''<sub>1</sub>, ''x''<sub>2</sub>, ..., ''x''<sub>''r''</sub>]. Here ''r'' is the number of variables.
 
:''{{See also'': [[|Polynomial ring]]}}
 
==Function spaces==
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==Field extensions==
Suppose ''K'' is a [[Field extension|subfield]] of ''F'' (cf. [[field extension]]). Then ''F'' can be regarded as a vector space over ''K'' by restricting scalar multiplication to elements in ''K'' (vector addition is defined as normal). The dimension of this vector space, if it exists,{{efn|Note that the resulting vector space may not have a basis in the absence the [[axiom of choice]].}} is called the ''degree'' of the extension. For example, the [[complex number]]s '''C''' form a two-dimensional vector space over the real numbers '''R'''. Likewise, the [[real numbers]] '''R''' form a vector space over the [[rational number]]s '''Q''' which has (uncountably) infinite dimension, if a Hamel basis exists.{{efn|There are models of [[Zermelo–Fraenkel set theory|ZF]] without [[Axiom of choice|AC]] in which this is not the case.}}
 
If ''V'' is a vector space over ''F'' it may also be regarded as vector space over ''K''. The dimensions are related by the formula
:dim<sub>''K''</sub>''V'' = (dim<sub>''F''</sub>''V'')(dim<sub>''K''</sub>''F'')
For example, '''C'''<sup>''n''</sup>, regarded as a vector space over the reals, has dimension 2''n''.
 
==Finite vector spaces==
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==References==
{{Reflist}}
* {{cite book | last1=Lang | first1=Serge | author1-link=Serge Lang | title=Linear Algebra | publisher=[[Springer-Verlag]] | ___location=Berlin, New York | isbn=978-0-387-96412-6 | year=1987}}
 
 
{{DEFAULTSORT:Examples Of Vector Spaces}}