Simple Function: Difference between revisions

From Optimal Transport Wiki
Jump to navigation Jump to search
Line 2: Line 2:


==Definition==
==Definition==
Let <math> (X, \mathcal{M}, \mu) </math> be a measure space. A [[Measurable function | measurable function]] <math>f: X \rightarrow \mathbb{R}</math> is a simple function<ref name="Craig">Craig, Katy. ''MATH 201A Lecture 11''. UC Santa Barbara, Fall 2020.</ref> if <math>f(X)</math> is a finite subset of <math> \mathbb{R}</math>. The standard representation for a simple function is given by  
Let <math> (X, \mathcal{M}, \mu) </math> be a measure space. A [[Measurable function | measurable function]] <math>f: X \rightarrow \mathbb{R}</math> is a simple function<ref name="Craig">Craig, Katy. ''MATH 201A Lecture 11''. UC Santa Barbara, Fall 2020.</ref> if <math>f(X)</math> is a finite subset of <math> \mathbb{R}</math>. The standard representation<ref name="Craig">Craig, Katy. ''MATH 201A Lecture 11''. UC Santa Barbara, Fall 2020.</ref> for a simple function is given by  


<math> f(x) = \sum_{i=1}^n c_i 1_{E_i} (x) </math>,
<math> f(x) = \sum_{i=1}^n c_i 1_{E_i} (x) </math>,


where <math>1_{E_i} (x)</math> is the indicator function on the disjoint sets <math>E_i = f^{-1}(\{c_i\}) \in \mathcal{M}</math> that partition <math>X</math>, where <math>f(X) = \{c_1, \dots, c_n\}</math>.
where <math>1_{E_i} (x)</math> is the indicator function on the disjoint sets <math>E_i = f^{-1}(\{c_i\}) \in \mathcal{M}</math> that partition <math>X</math>, where <math>f(X) = \{c_1, \dots, c_n\}</math>.


==Integration of Simple Functions==
==Integration of Simple Functions==

Revision as of 01:46, 10 December 2020

The simplest functions you will ever integrate, hence the name.

Definition

Let be a measure space. A measurable function is a simple function[1] if is a finite subset of . The standard representation[1] for a simple function is given by

,

where is the indicator function on the disjoint sets that partition , where .

Integration of Simple Functions

These functions earn their name from the simplicity in which their integrals are defined[2]. Let be the space of all measurable functions from to Then

where by convention, we let . Note that is equivalent to and that some arguments may be omitted when there is no confusion.

Furthermore, for any , we define

Properties of Simple Functions

Given simple functions , the following are true[2]:

  • if ;
  • ;
  • if , then ;
  • the function is a measure on .

Proof

Let

References

  1. 1.0 1.1 Craig, Katy. MATH 201A Lecture 11. UC Santa Barbara, Fall 2020.
  2. 2.0 2.1 Folland, Gerald B. (1999). Real Analysis: Modern Techniques and Their Applications, John Wiley and Sons, ISBN 0471317160, Second edition.