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Lecture 04 - Subspaces

Read up on Spectral Theory
Dym - Applied Functional Analysis

Complete Subspaces

We start with the proposition we ended with in the last lecture.

Proposition

i) Any closed subspace of a Banach/Hilbert space is complete, hence is also a Banach/Hilbert space.
ii) Any complete subspace is closed.
iii) The closure of a subspace is a subspace.

Examples of Incomplete subspaces

Definition

We would define C00 to be the space of sequences finite length that is N with xn=0 for nN

It is clear that C00l2 but notice that if we take the sequence (of finite sequences)

xn=(1,1/2,...,1/n,0,0,0,...)

then xnC00 however the limit

x=(1,1/2,...,1/n,...)

is not. Thus C00 is not closed (and thus is not complete). However if we take the subspace:

S:{(a,0,0,0,...) | aR}

Then S is closed (and thus complete) in an incomplete space C00 (that is in a complete space l2).

Another example to consider is to take the subspace C[0,1]L2[0,1] and consider the following sequence of functions:
Pasted image 20240904103359.png

It is continuous in [0,1] however the limit
Pasted image 20240904104241.png
Is not continuous. Thus C[0,1] is another example of a space that is incomplete.

Definition

We define a Hilbert space L2([a,b]) to be the smallest complete inner product space containing C([a,b]), with the inner product defined to be:

f(t),g(t)=abf(t)g(t) dt