Measures: Difference between revisions

From Optimal Transport Wiki
Jump to navigation Jump to search
No edit summary
Line 1: Line 1:
==Definition==
==Definition==
Let <math>X</math> be a set and let <math>\mathcal{M} \subseteq 2^X</math> be a <math>\sigma</math>-algebra. Tbe structure <math>\left(X, \mathcal{M}\right)</math> is called a '''measurable space''' and each set in <math>\mathcal{M}</math> is called a '''measurable set'''. A '''measure on <math>(X, \mathcal{M})</math>''' (also referred to simply as a '''measure on <math>X</math>''' if <math>\mathcal{M}</math> is understood) is a function <math>\mu: \mathcal{M} \rightarrow [0, \infty]</math> that satisfies the following criteria:
Let <math>X</math> be a set and let <math>\mathcal{M} \subseteq 2^X</math> be a <math>\sigma</math>-algebra. Tbe structure <math>\left(X, \mathcal{M}\right)</math> is called a '''measurable space''' and each set in <math>\mathcal{M}</math> is called a '''measurable set'''. A '''measure on <math>(X, \mathcal{M})</math>''' (also referred to simply as a '''measure on <math>X</math>''' if <math>\mathcal{M}</math> is understood) is a function <math>\mu: \mathcal{M} \rightarrow [0, +\infty]</math> that satisfies the following criteria:
# <math>\mu\left(\emptyset\right) = 0</math>,
# <math>\mu\left(\emptyset\right) = 0</math>,
# Let <math>\left\{E_k\right\}_{k = 1}^{\infty}</math> be a disjoint sequence of sets such that each <math>E_k \in \mathcal{M}</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) = \sum_{k = 1}^{\infty} \mu\left(E_k\right)</math>.
# Let <math>\left\{E_k\right\}_{k = 1}^{\infty}</math> be a disjoint sequence of sets such that each <math>E_k \in \mathcal{M}</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) = \sum_{k = 1}^{\infty} \mu\left(E_k\right)</math>.
Line 17: Line 17:
# '''Monotonicity:''' Let <math>E, F \in \mathcal{M}</math> such that <math>E \subseteq F</math>. Then, <math>\mu\left(E\right) \leq \mu\left(F\right)</math>.
# '''Monotonicity:''' Let <math>E, F \in \mathcal{M}</math> such that <math>E \subseteq F</math>. Then, <math>\mu\left(E\right) \leq \mu\left(F\right)</math>.
# '''Subadditivity:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) \leq \sum_{k = 1}^{\infty} \mu\left(E_k\right)</math>.
# '''Subadditivity:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) \leq \sum_{k = 1}^{\infty} \mu\left(E_k\right)</math>.
# '''Continuity from Below:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math> such that <math>E_1 \subseteq E_2 \subseteq ...</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) = \lim_{k \rightarrow \infty} \mu\left(E_k\right)</math>.
# '''Continuity from Below:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math> such that <math>E_1 \subseteq E_2 \subseteq ...</math>. Then, <math>\mu\left(\cup_{k = 1}^{\infty} E_k\right) = \lim_{k \rightarrow +\infty} \mu\left(E_k\right)</math>.
# '''Continuity from Above:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math> such that <math>E_1 \supseteq E_2 \supseteq ...</math> and <math>\mu\left(E'\right) < \infty</math> for some <math>E' \in \left\{E_k\right\}_{k = 1}^{\infty}</math>. Then, <math>\mu\left(\cap_{k = 1}^{\infty} E_k\right) = \lim_{k \rightarrow \infty} \mu\left(E_k\right)</math>.
# '''Continuity from Above:''' Let <math>\left\{E_k\right\}_{k = 1}^{\infty} \subseteq \mathcal{M}</math> such that <math>E_1 \supseteq E_2 \supseteq ...</math> and <math>\mu\left(E'\right) < +\infty</math> for some <math>E' \in \left\{E_k\right\}_{k = 1}^{\infty}</math>. Then, <math>\mu\left(\cap_{k = 1}^{\infty} E_k\right) = \lim_{k \rightarrow +\infty} \mu\left(E_k\right)</math>.


==Examples==
==Examples==

Revision as of 01:23, 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

.

References

.