Difference between revisions of "Measure"
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+ | ==Examples== | ||
+ | * [[Dirac measure]] | ||
+ | * [[Counting measure]] | ||
+ | * [[Discrete probability measure]] | ||
+ | |||
+ | ===Trivial measures=== | ||
+ | Given the [[Measurable space]] {{M|(X,\mathcal{A})}} we can define: | ||
+ | |||
+ | <math>\mu:\mathcal{A}\rightarrow\{0,+\infty\}</math> by <math>\mu(A)=\left\{\begin{array}{lr} | ||
+ | 0 & \text{if }A=\emptyset \\ | ||
+ | +\infty & \text{otherwise} | ||
+ | \end{array}\right.</math> | ||
+ | |||
+ | Another trivial measure is: | ||
+ | |||
+ | <math>v:\mathcal{A}\rightarrow\{0\}</math> by <math>v(A)=0</math> for all <math>A\in\mathcal{A}</math> | ||
+ | |||
+ | ==See also== | ||
+ | * [[Pre-measure]] | ||
+ | * [[Outer-measure]] | ||
{{Definition|Measure Theory}} | {{Definition|Measure Theory}} |
Revision as of 18:27, 15 March 2015
\newcommand{\bigudot}{ \mathchoice{\mathop{\bigcup\mkern-15mu\cdot\mkern8mu}}{\mathop{\bigcup\mkern-13mu\cdot\mkern5mu}}{\mathop{\bigcup\mkern-13mu\cdot\mkern5mu}}{\mathop{\bigcup\mkern-13mu\cdot\mkern5mu}} }\newcommand{\udot}{\cup\mkern-12.5mu\cdot\mkern6.25mu\!}\require{AMScd}\newcommand{\d}[1][]{\mathrm{d}^{#1} }Not to be confused with Pre-measure
Contents
[hide]Definition
A \sigma-ring \mathcal{A} and a countably additive, extended real valued. non-negative set function \mu:\mathcal{A}\rightarrow[0,\infty] is a measure.
Contrast with pre-measure
Note: the family A_n must be pairwise disjoint
Property | Measure | Pre-measure |
---|---|---|
\mu:\mathcal{A}\rightarrow[0,\infty] | \mu_0:R\rightarrow[0,\infty] | |
\mu(\emptyset)=0 | \mu_0(\emptyset)=0 | |
Finitely additive | \mu(\bigudot^n_{i=1}A_i)=\sum^n_{i=1}\mu(A_i) | \mu_0(\bigudot^n_{i=1}A_i)=\sum^n_{i=1}\mu_0(A_i) |
Countably additive | \mu(\bigudot^\infty_{n=1}A_n)=\sum^\infty_{n=1}\mu(A_n) | If \bigudot^\infty_{n=1}A_n\in R then \mu_0(\bigudot^\infty_{n=1}A_n)=\sum^\infty_{n=1}\mu_0(A_n) |
Examples
Trivial measures
Given the Measurable space (X,\mathcal{A}) we can define:
\mu:\mathcal{A}\rightarrow\{0,+\infty\} by \mu(A)=\left\{\begin{array}{lr} 0 & \text{if }A=\emptyset \\ +\infty & \text{otherwise} \end{array}\right.
Another trivial measure is:
v:\mathcal{A}\rightarrow\{0\} by v(A)=0 for all A\in\mathcal{A}