Difference between revisions of "Vector space"

m
m
Line 5: Line 5:
 
===Axioms of a vector space===
 
===Axioms of a vector space===
  
* Under vector addition, the set of vectors forms an [[abelian group]].  Thus, addition is [[associative]] and [[commutative]] and there is an additive [[identity]] and additive [[inverse with respect to an operation | inverses]].
+
* Under vector addition, the set of vectors forms an [[abelian group]].  Thus, addition is [[associative]] and [[commutative]] and there is an additive [[identity]] (usually denoted <math>\mathbf 0</math>) and additive [[inverse with respect to an operation | inverses]].
  
* Scalar multiplication is associative, so if <math>r, s \in F</math> and <math>{\bf v} \in V</math> then <math>(rs){\bf v} = r(s{\bf v})</math>.
+
* Scalar multiplication is associative, so if <math>r, s \in F</math> and <math>{\mathbf v} \in V</math> then <math>(rs){\mathbf v} = r(s{\mathbf v})</math>.
  
* Scalar multiplication is [[distributive]], so if <math>r \in F</math> and <math>{\bf v, w} \in V</math> then <math>r({\bf v + w}) = r{\bf v} + r{\bf w}</math>.
+
* Scalar multiplication is [[distributive property | distributive]] over both vector and scalar addition, so if <math>r \in F</math> and <math>{\mathbf v, w} \in V</math> then <math>r({\mathbf v + w}) = r{\mathbf v} + r{\mathbf w}</math>.
  
 
*
 
*

Revision as of 12:17, 9 October 2006

This article is a stub. Help us out by expanding it.

A vector space over a field (frequently the real numbers) is an object which arises in linear algebra and abstract algebra. A vector space $V$ over a field $F$ consists of a set (of vectors) and two operations, vector addition and scalar multiplication, which obey the following rules:

Axioms of a vector space

  • Scalar multiplication is associative, so if $r, s \in F$ and ${\mathbf v} \in V$ then $(rs){\mathbf v} = r(s{\mathbf v})$.
  • Scalar multiplication is distributive over both vector and scalar addition, so if $r \in F$ and ${\mathbf v, w} \in V$ then $r({\mathbf v + w}) = r{\mathbf v} + r{\mathbf w}$.


Examples of vector spaces