L1 Space: Difference between revisions
No edit summary |
No edit summary |
||
Line 18: | Line 18: | ||
<b> Proposition:</b> Let <math>f,g\in L^1</math>, then the following are equivalent: | <b> Proposition:</b> Let <math>f,g\in L^1</math>, then the following are equivalent: | ||
<ol> | <ol> | ||
<li> <math>\int_E f=\int_E g,</math> for all <math>E\in\mathcal{M}</math> | <li> <math>\int_E f=\int_E g,</math> for all <math>E\in\mathcal{M}</math> |
Revision as of 08:46, 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:
- , 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:
- for all
- a.e.