Simple Function: Difference between revisions

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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>.
<ref name="Folland">Folland, Gerald B. (1999). ''Real Analysis: Modern Techniques and Their Applications'', John Wiley and Sons, ISBN 0471317160, Second edition.</ref>




==Integration of Simple Functions==
==Integration of Simple Functions==
These functions earn their name from the simplicity in which their integrals are defined. Let <math>L^+</math> be the space of all measurable functions from <math>X</math> to <math>[0,+\infty].</math> Then  
These functions earn their name from the simplicity in which their integrals are defined<ref name="Folland">Folland, Gerald B. (1999). ''Real Analysis: Modern Techniques and Their Applications'', John Wiley and Sons, ISBN 0471317160, Second edition.</ref>. Let <math>L^+</math> be the space of all measurable functions from <math>X</math> to <math>[0,+\infty].</math> Then  


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

Revision as of 00:48, 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 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 .

Properties of Simple Functions

References

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