Measures: Difference between revisions

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A measure space <math>(X, \mathcal{M}, \mu)</math> is called '''complete''' if <math>\mathcal{M}</math> contains all subsets of its null sets. An incomplete measure space can be constructed by taking <math>X = \{a. b, c\}</math> and <math>\mathcal{M} = \{\emptyset, \{a\}, \{b, c\}, X\}</math> with <math>\mu(E) = \begin{cases}0, E \neq \{a\}\\1, E = \{a\}\end{cases}</math>. The set <math>\{b, c\}</math> is a null set in this case, but <math>\{b\} \notin \mathcal{M}</math>.
A measure space <math>(X, \mathcal{M}, \mu)</math> is called '''complete''' if <math>\mathcal{M}</math> contains all subsets of its null sets. An incomplete measure space can be constructed by taking <math>X = \{a. b, c\}</math> and <math>\mathcal{M} = \{\emptyset, \{a\}, \{b, c\}, X\}</math> with <math>\mu(E) = \begin{cases}0, E \neq \{a\}\\1, E = \{a\}\end{cases}</math>. The set <math>\{b, c\}</math> is a null set in this case, but <math>\{b\} \notin \mathcal{M}</math>.


Given an incomplete measure <math>(X, \mathcal{M}, \mu)</math>, the following theorem guarantees that a complete measure space this measure space can be extended to a complete measure space <math>(X, \overline{\mathcal{M}}, \overline{\mu})</math>.
Given an incomplete measure <math>(X, \mathcal{M}, \mu)</math>, the following theorem guarantees that a complete measure space this measure space can be extended to a complete measure space <math>(X, \overline{\mathcal{M}}, \overline{\mu})</math>. The measure <math>\overline{\mu}</math> is called the '''completion of <math>\mu</math>''', and <math>\overline{\mathcal{M}}</math> is called the '''completion of <math>\mathcal{M}</math> with respect to <math>\mu</math>'''.


'''Theorem''' <em>Suppose that <math>(X, \mathcal{M}, \mu)</math> is a measure space. Let <math>\mathcal{N} = \left\{N \in \mathcal{M} : \mu(N) = 0\right\}</math> and <math>\overline{\mathcal{M}} = \left\{E \cup F : E \in \mathcal{M} \text{ and } F \subseteq N  \text{ for some } N \in \mathcal{N}\right\}</math>. Then, <math>\overline{\mathcal{M}}</math> is a <math>\sigma</math>-algebra, and there is a unique extension <math>\overline{\mu}</math> of <math>\mu</math> to a complate measure on <math>\overline{\mathcal{M}}</math>.</em>
'''Theorem''' <em>Suppose that <math>(X, \mathcal{M}, \mu)</math> is a measure space. Let <math>\mathcal{N} = \left\{N \in \mathcal{M} : \mu(N) = 0\right\}</math> and <math>\overline{\mathcal{M}} = \left\{E \cup F : E \in \mathcal{M} \text{ and } F \subseteq N  \text{ for some } N \in \mathcal{N}\right\}</math>. Then, <math>\overline{\mathcal{M}}</math> is a <math>\sigma</math>-algebra, and there is a unique extension <math>\overline{\mu}</math> of <math>\mu</math> to a complate measure on <math>\overline{\mathcal{M}}</math>.</em>

Revision as of 03:36, 18 December 2020

Definition

Let be a set and let be a -algebra. Tbe structure is called a measurable space and each set in is called a measurable set. A measure on (also referred to simply as a measure on if is understood) is a function that satisfies the following criteria:

  1. ,
  2. Let be a disjoint sequence of sets such that each . Then, .

If the previous conditions are satisfied, the structure is called a measure space.

Additional Terminology

Let be a measure space.

  • The measure is called finite if .
  • Let . If there exist such that and (for all ), then is -finite for .
  • If is -finite for , then is called -finite.
  • Let be the collection of all the sets in with infinite -measure. The measure is called semifinite if there exists such that and , for all .

Properties

Let be a measure space.

  1. Finite Additivity: Let be a finite disjoint sequence of sets such that each . Then, . This follows directly from the defintion of measures by taking .
  2. Monotonicity: Let such that . Then, .
  3. Subadditivity: Let . Then, .
  4. Continuity from Below: Let such that . Then, .
  5. Continuity from Above: Let such that and for some . Then, .

Examples

  • Let be a non-empty set and . Let be any function from to . Given , define . Then, the function defined by is a measure. This measure has the following properties:
  1. The measure is semifinite if and only if for every .
  2. The measure is -finite if and only if is semifinite and is countable for every .

There are special cases of this measure that are frequently used:

  1. When fixing , the resulting measure is referred to as the counting measure.
  2. Let be fixed. By defining , the resulting measure is referred to as the point mass measure or the Dirac measure.
  • Let be an uncountable set. Let be the -algebra of countable or co-cocountable sets of . The function defined as is a measure.
  • Let be an infinite set. Let . The function defined as is not a measure. To verify that it is not a measure, it is sufficient to take , and note that . In other words. the countable additivity property is not satisfied. However, does satisfy the finite additivity property.

Complete Measures

Consider a measure space . A set is called a -null set (or simply null set) if . A property holds -almost everywhere (or simply almost everywhere) if satisfies and .

A measure space is called complete if contains all subsets of its null sets. An incomplete measure space can be constructed by taking and with . The set is a null set in this case, but .

Given an incomplete measure , the following theorem guarantees that a complete measure space this measure space can be extended to a complete measure space . The measure is called the completion of , and is called the completion of with respect to .

Theorem Suppose that is a measure space. Let and . Then, is a -algebra, and there is a unique extension of to a complate measure on .

References

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