<?xml version="1.0" encoding="UTF-8"?>

<record version="18" id="1041">
 <title>basis</title>
 <name>Basis</name>
 <created>2001-11-27 20:57:18</created>
 <modified>2008-06-28 02:52:09</modified>
 <type>Definition</type>
 <creator id="2727" name="mathcam"/>
 <author id="3771" name="CWoo"/>
 <author id="2727" name="mathcam"/>
 <author id="127" name="Koro"/>
 <author id="2" name="akrowne"/>
 <classification>
	<category scheme="msc" code="15A03"/>
 </classification>
 <synonyms>
	<synonym concept="basis" alias="Hamel basis"/>
 </synonyms>
 <related>
	<object name="Span"/>
	<object name="IntegralBasis"/>
	<object name="BasicTensor"/>
	<object name="Aliasing"/>
	<object name="Subbasis"/>
	<object name="Blade"/>
	<object name="ProofOfGramSchmidtOrthogonalizationProcedure"/>
	<object name="LinearExtension"/>
 </related>
 <keywords>
	<term>span</term>
	<term>vector space</term>
	<term>basis</term>
 </keywords>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{graphicx}
\usepackage{xypic}</preamble>
 <content>\PMlinkescapeword{basis}
\PMlinkescapeword{bases}

A (Hamel) basis of a vector space is a linearly independent spanning set.

It can be proved that any two bases of the same vector space must have the same cardinality. This introduces the notion of dimension of a vector space, which is precisely the cardinality of the basis, and is denoted by $\operatorname{dim}(V)$, where $V$ is the vector space.

The fact that \PMlinkname{every vector space has a Hamel basis}{EveryVectorSpaceHasABasis} is an important consequence of the axiom of choice (in fact, that proposition is equivalent to the axiom of choice.)

{\bf Examples.}

\begin{itemize}

\item $\beta = \{e_i\}$, $1\le i \le n$, is a basis for $\mathbb{R}^n$ (the $n$-dimensional vector space over the reals).  For $n=4$, 

$$ \beta = \left\{ \begin{pmatrix} 1 \\ 0 \\ 0 \\ 0 \end{pmatrix} ,
\begin{pmatrix} 0 \\ 1 \\ 0 \\ 0 \end{pmatrix} ,
\begin{pmatrix} 0 \\ 0 \\ 1 \\ 0 \end{pmatrix} ,
\begin{pmatrix} 0 \\ 0 \\ 0 \\ 1 \end{pmatrix} \right\}   $$

\item $ \beta = \{ 1, x , x^2 \} $ is a basis for the vector space of polynomials with degree at most 2, over a division ring.

\item The set

$$ \beta =   
\left\{ \begin{bmatrix}1 &amp; 0 \\ 0 &amp; 0 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 1 \\ 0 &amp; 0 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 0 \\ 0 &amp; 1 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 0 \\ 1 &amp; 0 \end{bmatrix} \right\} $$ 

is a basis for the vector space of $2 \times 2$ matrices over a division ring, and assuming that the characteristic of the ring is not 2, then so is

$$ \beta' =   
\left\{ \begin{bmatrix}2 &amp; 0 \\ 0 &amp; 0 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 1 \\ 0 &amp; 0 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 0 \\ 0 &amp; 4 \end{bmatrix} ,
\begin{bmatrix}0 &amp; 0 \\ \frac{1}{2} &amp; 0 \end{bmatrix} \right\}. $$

\item The empty set is a basis for the trivial vector space which consists of the unique element $0$. 

\end{itemize}

\textbf{Remark}.  More generally, for any (left) right module $M$ over a ring $R$, one may define a (left) right basis for $M$ as a subset $B$ of $M$ such that $B$ spans $M$ and is linearly independent.  However, unlike bases for a vector space, bases for a module may not have the same cardinality.</content>
</record>
