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<record version="2" id="6089">
 <title>vector product in general vector spaces</title>
 <name>VectorProductInGeneralVectorSpaces</name>
 <created>2004-08-09 05:49:48</created>
 <modified>2004-08-09 05:57:00</modified>
 <type>Definition</type>
<parent id="867">cross product</parent>
 <creator id="128" name="mathwizard"/>
 <author id="128" name="mathwizard"/>
 <classification>
	<category scheme="msc" code="15A72"/>
 </classification>
 <synonyms>
	<synonym concept="vector product in general vector spaces" alias="vector product"/>
 </synonyms>
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 <content>The vector product can be defined in any finite dimensional vector space $V$ with $\dim V=n$. Let $v_1,\dots,v_n$ be a basis of $V$, we then define the vector product of the vectors $w_1,\dots,w_{n-1}$ in the following way:
$$w_1\times\dots\times w_{n-1}=\sum_{j=1}^nv_j\det(w_1,\dots,w_{n-1},v_j).$$
One can easily see that some of the properties of the vector product are the same as in $\mathbb{R}^3$:
\begin{itemize}
\item If one of the $w_i$ is equal to $0$, then the vector product is $0$.
\item If $w_i$ are linearly dependent, then the vector product is $0$.
\item In a Euclidean vector space $w_1\times\dots\times w_{n-1}$ is perpendicular to all $w_i$.
\end{itemize}</content>
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