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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>. |
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| 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>'''. |
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| '''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:
,
- 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.
- Finite Additivity: Let
be a finite disjoint sequence of sets such that each
. Then,
. This follows directly from the defintion of measures by taking
.
- Monotonicity: Let
such that
. Then,
.
- Subadditivity: Let
. Then,
.
- Continuity from Below: Let
such that
. Then,
.
- 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:
- The measure
is semifinite if and only if
for every
.
- 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:
- When fixing
, the resulting measure is referred to as the counting measure.
- 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
.