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<record version="14" id="243">
 <title>convex set</title>
 <name>ConvexSet</name>
 <created>2001-10-15 23:32:17</created>
 <modified>2007-06-18 20:06:43</modified>
 <type>Definition</type>
 <creator id="3" name="drini"/>
 <author id="409" name="mps"/>
 <author id="6075" name="rspuzio"/>
 <author id="3" name="drini"/>
 <classification>
	<category scheme="msc" code="52A99"/>
 </classification>
 <defines>
	<concept>polyconvex set</concept>
	<concept>polyconvex</concept>
 </defines>
 <synonyms>
	<synonym concept="convex set" alias="convex"/>
 </synonyms>
 <related>
	<object name="ConvexCombination"/>
	<object name="CaratheodorysTheorem2"/>
	<object name="ExtremeSubsetOfConvexSet"/>
	<object name="PropertiesOfExtemeSubsetsOfAClosedConvexSet"/>
 </related>
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 <content>Let $S$ a subset of $\mathbb{R}^n$. We say that $S$ is \emph{convex} when, for any pair of points $A,B$ in $S$, the segment $\overline{AB}$ lies entirely inside $S$.\smallskip

The former statement is equivalent to saying that for any pair of vectors $u,v$ in $S$, the vector $(1-t)u+tv$ is in $S$ for all $t\in[0,1]$.\smallskip

If $S$ is a convex set, for any $u_1,u_2,\ldots,u_r$ in $S$, and any positive numbers $\lambda_1,\lambda_2,\ldots,\lambda_r$ such that $\lambda_1+\lambda_2+\cdots+\lambda_r=1$ the vector
$$\sum_{k=1}^r\lambda_k u_k$$
is in $S$.\medskip

Examples of convex sets in the plane are circles, triangles, and ellipses.
The definition given above can be generalized to any real vector space:

Let $V$ be  a vector space (over $\R$ or $\C$). A subset $S$ of $V$ 
is \emph{convex} if for all points $x,y$ in $S$, the line segment
$\{\alpha x + (1-\alpha) y \mid  \alpha\in(0,1)\} $ is also in $S$.

More generally, the same definition works for any vector space over an
ordered field.

A \emph{polyconvex set} is a finite union of compact, convex sets.</content>
</record>
