Characteristic function

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In mathematics, the term "characteristic function" can refer to any of several distinct concepts:

𝟏A:X→{0,1},
which for a given subset A of X, has value 1 at points of A and 0 at points of X − A.
  • There is an indicator function for affine varieties over a finite field:[1] given a finite set of functions fα∈𝔽q[x1,…,xn] let V={x∈𝔽qn:fα(x)=0} be their vanishing locus. Then, the function P(x)=∏(1−fα(x)q−1) acts as an indicator function for V. If x∈V then P(x)=1, otherwise, for some fα, we have fα(x)≠0, which implies that fα(x)q−1=1, hence P(x)=0.
  • The characteristic function in convex analysis, closely related to the indicator function of a set:
χA(x):={0,x∈A;+∞,x∉A.
  • In probability theory, the 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:
φX(t)=E⁡(eitX),
where E means expected value. For multivariate distributions, the product tX is replaced by a scalar product of vectors.

References

  1. ↑ Serre. Course in Arithmetic. pp. 5.