L1 Space
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:
- , 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.
Proof
(to be filled in)
With the proposition, we define our norm on to be . This is indeed a norm since:
- 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: