Simple Function: Difference between revisions

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Then
Then
<math>\int f + \int g = \sum_{i=1}^n a_i \mu(E_i) + \sum_{j=1}^m b_j \mu(F_j)</math>
<math>\int f + \int g = \sum_{i=1}^n a_i \mu(E_i) + \sum_{j=1}^m b_j \mu(F_j)</math>






<math><\math>
<math></math>


==References==
==References==

Revision as of 05:34, 11 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[3]

Let and be simple functions with their corresponding standard representations.

We show the first claim. Suppose . Then , implying . Similarly, . Thus, the first statement holds for this case.

Suppose . Then

.

Next, we show the second statement. Notice that

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle E_i = \cup_{j=1}^m (E_i \cap F_j)<\math> and <math>F_j = \cup_{i=1}^n (F_j \cap E_i).}

Then


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.
  3. Craig, Katy. MATH 201A Lectures 12-13. UC Santa Barbara, Fall 2020.