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

<record version="20" id="697">
 <title>linear transformation</title>
 <name>LinearTransformation</name>
 <created>2001-11-07 16:34:10</created>
 <modified>2008-01-13 19:59:54</modified>
 <type>Definition</type>
 <creator id="3771" name="CWoo"/>
 <author id="3771" name="CWoo"/>
 <author id="2760" name="yark"/>
 <author id="14155" name="azdbacks4234"/>
 <author id="40" name="Daume"/>
 <classification>
	<category scheme="msc" code="15A04"/>
 </classification>
 <defines>
	<concept>linear operator</concept>
 </defines>
 <synonyms>
	<synonym concept="linear transformation" alias="linear map"/>
	<synonym concept="linear transformation" alias="vector space homomorphism"/>
	<synonym concept="linear transformation" alias="linear mapping"/>
 </synonyms>
 <related>
	<object name="Matrix"/>
	<object name="InvariantSubspace"/>
	<object name="DualHomomorphism"/>
	<object name="KernelOfALinearTransformation"/>
	<object name="EigenvalueOfALinearOperator"/>
	<object name="NilpotentTransformation"/>
	<object name="AffineTransformation"/>
	<object name="SubLinear"/>
	<object name="MatrixRepresentationOfALinearTransformation"/>
 </related>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{mathrsfs}

\def\Ker{\operatorname{Ker}}
\def\Im{\operatorname{Im}}
\def\Hom{\operatorname{Hom}}</preamble>
 <content>\PMlinkescapeword{properties}

Let $V$ and $W$ be vector spaces over the same field $F$. A \emph{linear transformation} is a function $T\colon V \to W$ such that:
\begin{itemize}
  \item $T(v+w) = T(v)+T(w)$ for all $v,w \in V$
  \item $T(\lambda v) = \lambda T(v)$ for all $v\in V$, and $\lambda \in F$
\end{itemize}
The set of all linear maps $V \to W$ is denoted by $\Hom_F(V,W)$ or $\mathscr{L}(V,W)$.

\textbf{Examples:}
\begin{itemize}
\item Let $V=\mathbb{R}^n$ and $W=\mathbb{R}^m$ and $A$ is any $m\times n$ matrix.  Then the function $L_A:V\to W$ defined by $L_A(v)=Av$, the multiplication of matrix $A$ and the vector $v$ (considered as an $n\times 1$ matrix), is a linear transformation.
\item Let $V$ be the space of all differentiable functions over $\mathbb{R}$ and $W$ the space of all continuous functions over $\mathbb{R}$.  Then $D:V\to W$ defined by $D(f)=f'$, the derivative of $f$, is a linear transformation.
\end{itemize}

\noindent \textbf{Properties:}
\begin{itemize}
  \item $T(0) = 0$.
  \item If $S$ and $T$ are linear transformations from $V$ to $W$, and $k\in F$, then so are $S+T$ and $kT$.  As a result, $\Hom_F(V,W)$ is a vector space over F.
  \item If $G\colon W\to U$ is a linear transformations then $G\circ T\colon V\to U$ is also a linear transformation.
  \item The \PMlinkname{kernel}{KernelOfALinearTransformation}
$\Ker(T)=\{v\in V \mid T(v) = 0\}$ is a subspace of $V$.
  \item The \PMlinkname{image}{ImageOfALinearTransformation} $\Im(T) = \{T(v) \mid v\in V\}$ is a subspace of $W$.
  \item The inverse image $T^{-1}(w)$ is a subspace if and only if $w=0$.
  \item A linear transformation is injective if and only if $\Ker(T)=\{0\}$.
  \item If $v \in V$ then $T^{-1}(T(v)) = v + \Ker(T)$.
  \item If $w\in \Im(T)$ then $T(T^{-1}(w)) = \{w\}$.
\end{itemize}

\textbf{Remark}.  A linear transformation $T:V\to W$ such that $W=V$ is called a \emph{linear operator}, and a \emph{linear functional} when $W=F$.

\textbf{See also:}
\begin{itemize}
\item Wikipedia, \PMlinkexternal{linear transformation}{http://www.wikipedia.org/wiki/Linear_transformation}
\end{itemize}</content>
</record>
