Measurable function: Difference between revisions
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Let <math>(X,\mathcal{M})</math> and <math>(Y,\mathcal{N})</math> be measure spaces. A map <math>f:X \to Y</math> is '''<math>(\mathcal{M},\mathcal{N})</math>-measurable''' if <math>f^{-1}(E) \in \mathcal{M}</math> for all <math>E \in \mathcal{N}.</math> | Let <math>(X,\mathcal{M})</math> and <math>(Y,\mathcal{N})</math> be measure spaces. A map <math>f:X \to Y</math> is '''<math>(\mathcal{M},\mathcal{N})</math>-measurable''' if <math>f^{-1}(E) \in \mathcal{M}</math> for all <math>E \in \mathcal{N}.</math> This definition is analogous to the definition of a continuous function in a topological space, in which one requires that the preimage of each open set is open. In the case of the Lebesgue measure (or any Borel measure), all continuous functions are measurable. | ||
==Examples of measurable functions== | ==Examples of measurable functions== | ||
* A function <math>f: \mathbb{R} \to \overline{\mathbb{R}}</math> is called a '''Lebesgue measurable function''' if <math>f</math> is <math>(\mathcal{L}, \mathcal{B}_{\overline{\mathbb{R}}})</math>- measurable, where <math>\mathcal{L}</math> is the class of Lebesgue measurable sets and <math>\mathcal{B}_{\overline{\mathbb{R}}}</math> is Borel <math>\sigma</math>-algebra. | * A function <math>f: \mathbb{R} \to \overline{\mathbb{R}}</math> is called a '''Lebesgue measurable function''' if <math>f</math> is <math>(\mathcal{L}, \mathcal{B}_{\overline{\mathbb{R}}})</math>- measurable, where <math>\mathcal{L}</math> is the class of Lebesgue measurable sets and <math>\mathcal{B}_{\overline{\mathbb{R}}}</math> is the Borel <math>\sigma</math>-algebra on the extended real numbers. | ||
* A function <math>f: X \to Y</math> is called '''Borel measurable''' if <math>f</math> is <math>(\mathcal{B}_X, \mathcal{B}_Y)</math>-measurable. | * A function <math>f: X \to Y</math> is called '''Borel measurable''' if <math>f</math> is <math>(\mathcal{B}_X, \mathcal{B}_Y)</math>-measurable. | ||
==Basic theorems of measurable functions== | ==Basic theorems of measurable functions== | ||
* Let <math>(X,\mathcal{M})</math> and <math>(Y,\mathcal{N})</math> be measure spaces. Suppose that <math>\mathcal{N}</math> is generated by a set <math>\ | * Let <math>(X,\mathcal{M})</math> and <math>(Y,\mathcal{N})</math> be measure spaces. Suppose that <math>\mathcal{N}</math> is generated by a set <math>\mathcal{E}</math>. A map <math>f: X \to Y</math> is <math>(\mathcal{M},\mathcal{N})</math>-measurable if <math>f^{-1}(E) \in \mathcal{M}</math> for all <math>E \in \mathcal{E}.</math> | ||
* Let <math>(X,\mathcal{M})</math>, <math>(Y,\mathcal{N})</math>, and <math>(Z,\mathcal{P})</math> be measure spaces. If a map <math>f: X \to Y</math> is <math>(\mathcal{M},\mathcal{N})</math>-measurable and <math>g: Y \to Z</math> is <math>(N,\mathcal{P})</math>-measurable, then <math>g\circ f: X \to Z</math> is <math>(\mathcal{M},\mathcal{P})</math>-measurable. In particular, if <math>g: \mathbb{R} \to \mathbb{R} </math> is Borel measurable and <math>f:\mathbb{R} \to \mathbb{R}</math> is Lebesgue measurable, then <math>g \circ f</math> is Lebesgue measurable. | * Let <math>(X,\mathcal{M})</math>, <math>(Y,\mathcal{N})</math>, and <math>(Z,\mathcal{P})</math> be measure spaces. If a map <math>f: X \to Y</math> is <math>(\mathcal{M},\mathcal{N})</math>-measurable and <math>g: Y \to Z</math> is <math>(N,\mathcal{P})</math>-measurable, then <math>g\circ f: X \to Z</math> is <math>(\mathcal{M},\mathcal{P})</math>-measurable. In particular, if <math>g: \mathbb{R} \to \mathbb{R} </math> is Borel measurable and <math>f:\mathbb{R} \to \mathbb{R}</math> is Lebesgue measurable, then <math>g \circ f</math> is Lebesgue measurable. | ||
* Let <math>(X,\mathcal{M})</math>, <math>(Y,\mathcal{N}_1)</math>, <math>(Y,\mathcal{N}_2)</math>, and <math>(Z,\mathcal{P})</math> be measure spaces. If a map <math>f: X \to Y</math> is <math>(\mathcal{M},\mathcal{N}_1)</math>-measurable and <math>g: Y \to Z</math> is <math>(\mathcal{N}_2,\mathcal{P})</math>-measurable, then <math>g \circ f: X \to Z</math> is <math>(\mathcal{M},\mathcal{P})</math>-measurable when <math>\mathcal{N}_2 \subseteq \mathcal{N}_1.</math> | * Let <math>(X,\mathcal{M})</math>, <math>(Y,\mathcal{N}_1)</math>, <math>(Y,\mathcal{N}_2)</math>, and <math>(Z,\mathcal{P})</math> be measure spaces. If a map <math>f: X \to Y</math> is <math>(\mathcal{M},\mathcal{N}_1)</math>-measurable and <math>g: Y \to Z</math> is <math>(\mathcal{N}_2,\mathcal{P})</math>-measurable, then <math>g \circ f: X \to Z</math> is <math>(\mathcal{M},\mathcal{P})</math>-measurable when <math>\mathcal{N}_2 \subseteq \mathcal{N}_1.</math> | ||
==Non-measurable functions== | |||
It is possible to define functions that are not measurable. For example, if <math>A</math> represents the [[Vitali set]], then the indicator function <math>\mathbb{1}_A</math> is not Borel-measurable. This follows directly from the fact that <math>\mathbb{1}_A^{-1}(\{1\}) = A</math>, which is a non-measurable set, despite the fact that <math>\{1\}</math> is closed in <math>\mathbb{R}</math> (and hence <math>\{1\} \in \mathcal{B}_\mathbb{R}</math>). |
Revision as of 07:14, 2 December 2020
Let and be measure spaces. A map is -measurable if for all This definition is analogous to the definition of a continuous function in a topological space, in which one requires that the preimage of each open set is open. In the case of the Lebesgue measure (or any Borel measure), all continuous functions are measurable.
Examples of measurable functions
- A function is called a Lebesgue measurable function if is - measurable, where is the class of Lebesgue measurable sets and is the Borel -algebra on the extended real numbers.
- A function is called Borel measurable if is -measurable.
Basic theorems of measurable functions
- Let and be measure spaces. Suppose that is generated by a set . A map is -measurable if for all
- Let , , and be measure spaces. If a map is -measurable and is -measurable, then is -measurable. In particular, if is Borel measurable and is Lebesgue measurable, then is Lebesgue measurable.
- Let , , , and be measure spaces. If a map is -measurable and is -measurable, then is -measurable when
Non-measurable functions
It is possible to define functions that are not measurable. For example, if represents the Vitali set, then the indicator function is not Borel-measurable. This follows directly from the fact that , which is a non-measurable set, despite the fact that is closed in (and hence ).