Sigma algebra

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In mathematics, a sigma algebra is a formal mathematical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory. In essence it is a collection of subsets of an arbitrary set \scriptstyle \Omega that contains \scriptstyle \Omega itself and which is closed under the taking of complements (with respect to \scriptstyle \Omega) and countable unions. It is found to be just the right structure that allows construction of non-trivial and useful measures on which a rich theory of (Lebesgue) integration can be developed which is much more general than Riemann integration.

Contents

Formal definition

Given a set \scriptstyle \Omega, let \scriptstyle P\,=\, 2^\Omega be its power set, i.e. set of all subsets of \Omega. Then a subset FP (i.e., F is a collection of subset of \scriptstyle \Omega) is a sigma algebra if it satisfies all the following conditions or axioms:

  1. \scriptstyle \Omega \,\in\, F.
  2. If \scriptstyle A\,\in\, F then the complement \scriptstyle  A^c \in F
  3. If \scriptstyle G_i \,\in\, F for \scriptstyle i \,=\, 1,2,3,\dots then \scriptstyle \bigcup_{i=1}^{\infty} G_{i} \in F

Examples

  • For any set S, the power set 2S itself is a σ algebra.
  • The set of all Borel subsets of the real line is a sigma-algebra.
  • Given the set \scriptstyle \Omega = {Red, Yellow, Green}, the subset F = {{}, {Green}, {Red, Yellow}, {Red, Yellow, Green}} of \scriptstyle 2^\Omega is a σ algebra.

See also

Set

Set theory

Borel set

Measure theory

Measure

External links

  • Tutorial on sigma algebra at probability.net
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