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In [[Measure (mathematics)| measure theory]] and [[Probability theory | probability]], the '''monotone class theorem''' connects monotone classes and [[Sigma-algebra|sigma-algebras]]. The theorem says that the smallest monotone class containing an [[field of sets|algebra of sets]] G is precisely the smallest [[Sigma-algebra|σ-algebra]] containing G. 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''' in a set <math>R</math> is a collection <math>M</math> of [[subsets]] of <math>R</math> which contains <math>R</math> and is [[Closure (mathematics)|closed]] under countable monotone unions and intersections, i.e. if <math>A_i \in M</math> and <math>A_1 \subset A_2 \subset \ldots</math> then <math>\cup_{i = 1}^\infty A_i \in M</math>, and similarly for intersections of decreasing sequences of sets.
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===Proof===
The following was taken from Probability Essentials, by Jean Jacod and Philip Protter.
To do this, we first construct monotone classes that correspond to elements of G, and show that each equals the M(G), the monotone class generated by G. Using this, we show that the monotone classes corresponding to the other elements of M(G) are also equal to M(G). Finally, we show this result implies M(G) is indeed a sigma-algebra.
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As a corollary, if G is a [[Ring of sets|ring]] of sets, then the smallest monotone class containing it coincides with the sigma-ring of G.
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.
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<references/>
==See also==
This article was advanced during a Wikipedia course held at Duke University, which can be found here: [
[[Category:Set families]]
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