PlanetMath (more info)
 Math for the people, by the people. Sponsor PlanetMath
Encyclopedia | Requests | Forums | Docs | Wiki | Random | RSS  
Login
create new user
name:
pass:
forget your password?
Main Menu
Viewing Version 8 of 'dimension (vector space)'
[ view 'dimension (vector space)' | back to history ]

Title of object: dimension (vector space)
Canonical Name: Dimension2
Type: Definition

Created on: 2002-06-01 23:32:50
Modified on: 2006-09-06 17:39:03

Creator: rmilson
Modifier: rmilson
Author: rmilson

Classification: msc:15A03
Defines: dimension, codimension, finite-dimensional, infinite-dimensional

Revision comment (for changes between this and next version):

Changes for correction #9610 ('emphasis on defined terms').

Preamble:

\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{amssymb}
\newcommand{\reals}{\mathbb{R}}
\newcommand{\natnums}{\mathbb{N}}
\newcommand{\cnums}{\mathbb{C}}
\newcommand{\znums}{\mathbb{Z}}
\newcommand{\lp}{\left(}
\newcommand{\rp}{\right)}
\newcommand{\lb}{\left[}
\newcommand{\rb}{\right]}
\newcommand{\supth}{^{\text{th}}}
\newtheorem{proposition}{Proposition}
\newtheorem{definition}[proposition]{Definition}
\newcommand{\nl}[1]{\PMlinkescapetext{{#1}}}
\newcommand{\pln}[2]{\PMlinkname{#1}{#2}}
Content:

Let $V$ be a vector space over a field $K$. We say that $V$ is
\emph{finite-dimensional} if there exists a finite basis of $V$. Otherwise we
call $V$ \emph{infinite-dimensional}.

It can be shown that every basis of $V$ has the same cardinality. We call this cardinality the \emph{dimension} of $V$. In particular, if
$V$ is finite-dimensional, then every basis of $V$ will consist of a finite set $v_1,\ldots, v_n$. We then call the natural number $n$ the dimension of $V$.

Next, let $U\subset V$ a subspace. The dimension of the quotient
vector space $V/U$ is called the codimension of $U$ relative to $V$.

In circumstances where the choice of field is ambiguous, the
dimension of a vector space depends on the choice of field. For
example, every complex vector space is also a real vector space, and
therefore has a real dimension, double its complex dimension.