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<record version="6" id="2022">
 <title>simple function</title>
 <name>SimpleFunction</name>
 <created>2002-02-16 20:52:12</created>
 <modified>2007-06-29 00:37:22</modified>
 <type>Definition</type>
 <creator id="409" name="mps"/>
 <author id="1863" name="Wkbj79"/>
 <author id="409" name="mps"/>
 <author id="72" name="drummond"/>
 <classification>
	<category scheme="msc" code="03-00"/>
	<category scheme="msc" code="26-00"/>
	<category scheme="msc" code="26A09"/>
	<category scheme="msc" code="28-00"/>
 </classification>
 <defines>
	<concept>step function</concept>
 </defines>
 <related>
	<object name="CharacteristicFunction"/>
	<object name="Integral2"/>
 </related>
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 <content>In measure theory, a \emph{simple function} is a function that is a
finite linear combination
\[
h = \sum_{k=1}^n c_k \chi_{A_k}
\]
of characteristic functions, where the $c_k$ are real coefficients and
every $A_k$ is a measurable set with respect to a fixed measure space.

If the measure space is $\mathbb{R}$ and each $A_k$ is an interval,
then the function is called a \emph{step function}.  Thus, every step
function is a simple function.

Simple functions are used in analysis to interpolate between
characteristic functions and measurable functions.  In other words,
characteristic functions are easy to integrate:
\[
\int_E \chi_{A}\,dx = |A|,
\]
while simple functions are not much harder to integrate:
\[
\int_E \sum_{k=1}^n c_k \chi_{A_k}\,dx = \sum_{k=1}^n c_k |A_k|.
\]
To integrate a measurable function, one approximates it from below by
simple functions.  Thus, simple functions can be used to define the
Lebesgue integral over a subset of the measure space.

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