Characteristic function: Difference between revisions

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::<math>\mathbf{1}_A\colon X \to \{0, 1\},</math>

:which for a given subset ''A'' of ''X'', has value 1 at points of ''A'' and 0 at points of ''X''&nbsp;&minus;&nbsp;''A''.

* There is an indicator function for affine varieties over a finite field:<ref>{{Cite book|title=Course in Arithmetic|last=Serre|first=|publisher=|year=|isbn=|___location=|pages=5}}</ref>: given a finite set of functions <math>f_\alpha \in \mathbb{F}_q[x_1,\ldots,x_n]</math> let <math>V = \{ x \in \mathbb{F}_q^n : f_\alpha(x) = 0 \}</math> be their vanishing locus. Then, the function <math>P(x) = \prod(1 - f_\alpha(x)^{q-1})</math> acts as an indicator function for <math>V</math>. If <math>x \in V</math> then <math>P(x) = 1</math>, otherwise, for some <math>f_\alpha</math>, we have <math>f_\alpha(x) \neq 0</math>, which implies that <math>f_\alpha(x)^{q-1} = 1</math>, hence <chem>P(x) = 1</chem>.

* The [[characteristic function (convex analysis) | characteristic function]] in convex analysis, closely related to the indicator function of a set:

* The [[characteristic function (convex analysis) | characteristic function]] in convex analysis, closely related to the indicator function of a set:

::<math>\chi_A (x) := \begin{cases} 0, & x \in A; \\ + \infty, & x \not \in A. \end{cases}</math>

* In probability theory, the [[characteristic function (probability theory)|characteristic function]] of any probability distribution on the real line is given by the following formula, where ''X'' is any random variable with the distribution in question:

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* The [[point characteristic function]] in statistics.

==References==

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