Measures: Difference between revisions

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==Complete Measures==
==Complete Measures==
 
Consider a measure space <math>(X, \mathcal{M}, \mu)</math>. A set <math>E \in \mathcal{M}</math> is called a '''null set''' if <math>\mu(E) = 0</math>. A property <math>P(x)</math> holds '''almost everywhere''' if <math>N = \left\{x \in X : P(x) \text{ does not hold}\right\}</math> satisfies <math>N \in \mathcal{M}</math> and <math>\mu(N) = 0</math>.
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==References==
==References==


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Revision as of 01:46, 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 if . A property holds almost everywhere if satisfies and .

References

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