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- A '''vector space''', also known as a '''linear space''', is an abstract [[mathematics|math ...bb{R}^3</math></font> that are relatively easy to visualize, we can make a vector space out of <font style = "vertical-align: 17%"><math>\mathbb{R}^n</math></font15 KB (2,506 words) - 05:16, 11 May 2011
- 12 bytes (1 word) - 17:44, 15 November 2007
- 120 bytes (19 words) - 12:33, 29 November 2008
- {{r|dimension (vector space)}}492 bytes (60 words) - 15:09, 28 July 2009
- The number of elements in any basis for a vector space.91 bytes (14 words) - 02:26, 11 December 2008
Page text matches
- {{rpl|Vector space}}264 bytes (30 words) - 02:32, 25 September 2013
- ...eason often used as a stand-in whenever one expressions and equations in a vector space. ...ily expressed through linear combinations. For instance, a [[basis]] of a vector space can be defined as a set of vectors in the space with the property that ever911 bytes (137 words) - 22:56, 25 November 2008
- * [[inner product]], a generalisation of the above in an abstract vector space.242 bytes (36 words) - 12:38, 31 May 2009
- {{r|Vector space}}423 bytes (60 words) - 15:14, 28 July 2009
- {{r|Vector space}}359 bytes (48 words) - 15:04, 28 July 2009
- #REDIRECT [[vector space]]26 bytes (3 words) - 08:06, 5 November 2008
- In [[mathematics]], a '''norm''' is a function on a [[vector space]] that generalizes to vector spaces the notion of the distance from a point Let ''X'' be a vector space over some subfield ''F'' of the [[complex number|complex numbers]]. Then a880 bytes (157 words) - 22:28, 20 February 2010
- {{r|dimension (vector space)}}492 bytes (60 words) - 15:09, 28 July 2009
- ...ger picture]]) of a quantum mechanical system is postulated to be a unit [[vector space|vector]] (i.e., a vector of norm 1) in some Hilbert space, and physical qua2 KB (258 words) - 12:33, 4 January 2009
- In [[mathematics]], a '''normed space''' is a [[vector space]] that is endowed with a [[norm (mathematics)|norm]]. A [[completeness|comp ...hbb{R}^n</math>. This is the canonical example of a ''finite dimensional'' vector space; in fact ''all'' finite dimensional real normed spaces of dimension ''n'' a982 bytes (148 words) - 07:17, 3 December 2007
- {{r|Vector space}} {{r|Euclidean vector space}}338 bytes (42 words) - 19:08, 5 October 2009
- A vector space that is endowed with an inner product and the corresponding norm.116 bytes (17 words) - 13:40, 4 January 2009
- In [[linear algebra]], a '''basis''' for a [[vector space]] <math>V</math> is a set of [[vector]]s in <math>V</math> such that every ...respect to a basis. Through this transformation, every finite dimensional vector space can be considered to be essentially "the same as" the space <math>\mathbb{R3 KB (464 words) - 19:45, 1 December 2008
- Matrices that represent the same endomorphism of a vector space with respect to different bases.132 bytes (18 words) - 17:44, 25 November 2008
- The number of elements in any basis for a vector space.91 bytes (14 words) - 02:26, 11 December 2008
- A function on a vector space that generalises the notion of the distance from a point of a Euclidean spa157 bytes (26 words) - 15:01, 4 January 2009
- ...books.google.com/books?id=ybwBqELAJDEC&pg=PA71 |chapter=Lecture 2: Tangent vector space |pages=pp. 71 ''ff'' |isbn=0824703855 |year=2001 |publisher=CRC Press}} A s399 bytes (52 words) - 18:07, 20 March 2011
- ...ctors that, in a linear combination, can represent every vector in a given vector space or free module, and such that no element of the set can be represented as a245 bytes (42 words) - 06:20, 4 September 2009
- A vector space endowed with a norm that is complete.88 bytes (13 words) - 16:25, 14 July 2008
- A discrete subgroup of a real vector space.79 bytes (11 words) - 13:32, 29 November 2008