Monotone class theorem

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In measure theory and probability, the monotone class theorem connects monotone classes and sigma-algebras. The theorem says that the smallest monotone class containing an algebra of sets is precisely the smallest šœŽ-algebra containing  It is used as a type of transfinite induction to prove many other theorems, such as Fubini's theorem.

Definition of a monotone class

A monotone class is a family (i.e. class) of sets that is closed under countable monotone unions and also under countable monotone intersections. Explicitly, this means has the following properties:

  1. if and then and
  2. if and then

Monotone class theorem for sets

Monotone class theorem for sets — Let be an algebra of sets and define to be the smallest monotone class containing Then is precisely the šœŽ-algebra generated by ; that is,

Monotone class theorem for functions

Monotone class theorem for functions — Let be a Ļ€-system that contains and let be a collection of functions from to with the following properties:

  1. If then
  2. If and then and
  3. If is a sequence of non-negative functions that increase to a bounded function then

Then contains all bounded functions that are measurable with respect to which is the sigma-algebra generated by

Proof

The following argument originates in Rick Durrett's Probability: Theory and Examples.[1]

Proof

The assumption (2), and (3) imply that is a šœ†-system. By (1) and the Ļ€āˆ’šœ† theorem, Statement (2) implies that contains all simple functions, and then (3) implies that contains all bounded functions measurable with respect to

Results and applications

As a corollary, if is a ring of sets, then the smallest monotone class containing it coincides with the sigma-ring of

By invoking this theorem, one can use monotone classes to help verify that a certain collection of subsets is a sigma-algebra.

The monotone class theorem for functions can be a powerful tool that allows statements about particularly simple classes of functions to be generalized to arbitrary bounded and measurable functions.

See also

Citations

  1. ^ Durrett, Rick (2010). Probability: Theory and Examples (4th ed.). Cambridge University Press. p. 276. ISBN 978-0521765398.

References

fr:Lemme de classe monotone