L1 Space: Difference between revisions

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This shows that the set of integrable functions on any measurable space is a vector space. Furthermore, integration is a linear functional on this vector space, ie a linear function sending elements in our vector space to <math>\mathbb{R}</math>, one would like to use integration to define a norm on our vector space. However, if one were to check the axioms for a norm, one finds that if <math>f=0</math> almost everywhere, then <math>\int f=\int 0=0</math>. This motivates our definition of <math>L^1(\mu)</math> to be the set of integrable functions up to equivalence to sets of measure zero.  
This shows that the set of integrable functions on any measurable space is a vector space. Furthermore, integration is a linear functional on this vector space, ie a linear function sending elements in our vector space to <math>\mathbb{R}</math>, one would like to use integration to define a norm on our vector space. However, if one were to check the axioms for a norm, one finds integration fails to be a norm by taking <math>f=0</math> almost everywhere, then <math>\int f=\int 0=0</math>. In other words, there are non zero functions which has a zero integral. This motivates our definition of <math>L^1(\mu)</math> to be the set of integrable functions up to equivalence to sets of measure zero.  


==<math>L^1(\mu)</math> Space==
==<math>L^1(\mu)</math> Space==
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<il><math>\int |f-g|=0
<il><math>\int |f-g|=0
<il> <math>f=g</math> a.e.
<il> <math>f=g</math> a.e.
 
</ul>
===Proof===


==References==
==References==

Revision as of 08:45, 15 December 2020

Introduction

Let be a measure space. From our study of integration, we know that if are integrable functions, the following functions are also integrable:

  1. , for

This shows that the set of integrable functions on any measurable space is a vector space. Furthermore, integration is a linear functional on this vector space, ie a linear function sending elements in our vector space to , one would like to use integration to define a norm on our vector space. However, if one were to check the axioms for a norm, one finds integration fails to be a norm by taking almost everywhere, then . In other words, there are non zero functions which has a zero integral. This motivates our definition of to be the set of integrable functions up to equivalence to sets of measure zero.

Space

In this section, we will construct .

Definition: Let denote the set of integrable functions on , ie . Define an equivalence relation: if a.e. Then .

To make sense of the definition, we need the following proposition:

Proposition: Let , then the following are equivalent:

    <il> for all <il> a.e.

    Proof

    References