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==Convergence in <math>L^1(\mu)</math>==
==Convergence in <math>L^1(\mu)</math>==
With our notion of norm defined, we can have the notion of a metric, that is <math>d(f,g)=\lVert f-g \rVert=\int |f-g|</math>. With a metric, one can talk about convergence in <math>L^1(\mu)</math>. This gives us a fourth mode of convergence for a sequence of functions. It is useful to compare these mode of convergence:
With our norm defined, we can the metric to be <math>d(f,g)=\lVert f-g \rVert=\int |f-g|</math>. With a metric, one can talk about convergence in <math>L^1(\mu)</math>. This gives us a fourth mode of convergence for a sequence of functions. It is useful to compare these mode of convergence:
Uniform Convergence <math>\implies</math> Pointwise Convergence <math>\implies</math> Pointwise a.e. Convergence  
Uniform Convergence <math>\implies</math> Pointwise Convergence <math>\implies</math> Pointwise a.e. Convergence  



Revision as of 09:14, 15 December 2020

Very much not finished

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:

  1. for all
  2. a.e.

Proof

(to be filled in)

With the proposition, we define our norm on to be . This is indeed a norm since:

  1. a.e

Convergence in

With our norm defined, we can the metric to be . With a metric, one can talk about convergence in . This gives us a fourth mode of convergence for a sequence of functions. It is useful to compare these mode of convergence: Uniform Convergence Pointwise Convergence Pointwise a.e. Convergence

However, convergence in does not imply pointwise a.e. convergence and vice versa. To see that, we look at the following examples:


References