Concept - indicator function
In mathematics, the indicator function (sometimes also called characteristic function) of a subset A of a set X
is a function from X into {0,1} defined as follows:
The term characteristic function is potentially confusing because it is also used to denote a quite different concept that is also prevalent in probability theory; see characteristic function.
The indicator function is a basic tool in probability theory: if X is a probability space with probability measure P and A is a measurable set, then IA becomes a random variable whose expected value is equal to the probability of A:
It may be called an indicator variable, as a random variable returning a 0-1 data point.
For discrete spaces the proof may be written more simply as
Furthermore, if A and B are two subsets of X, then
is a function from X into {0,1} defined as follows:
The term characteristic function is potentially confusing because it is also used to denote a quite different concept that is also prevalent in probability theory; see characteristic function.
The indicator function is a basic tool in probability theory: if X is a probability space with probability measure P and A is a measurable set, then IA becomes a random variable whose expected value is equal to the probability of A:
It may be called an indicator variable, as a random variable returning a 0-1 data point.
For discrete spaces the proof may be written more simply as
Furthermore, if A and B are two subsets of X, then
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