20.1 Definition:
A sequence
in a Metric Space
is called a Cauchy Sequence
if for any
0 there
exists an
n
such that if
n
then
20.2 Lemma:
In the setting of 20.1 , every Cauchy sequence is
bounded. In particular there is a number
0
and
an
such that
Proof:
Select
n
such that if
n
then
1.
Now let
and select any
1
20.3 Lemma:
In the setting of 20.1 , if
then
is a Cauchy Sequence.
Proof:
This quickly follows from the observation that
hence if
then
20.4 Examples and Observations:
In general, the converse to 20.3 is not true.
Consider, for example, the open interval
0,1
and the sequence
clearly
is Cauchy but does not have a limit.
It is also the case that Cauchy sequences are not preserved under mapping by
continuous functions. For example, consider
0,1
,
given by
and
the Cauchy sequence
.
on the other hand
In
, every Cauchy sequence converges.
Proof:
Since
is bounded, so is
.
let
and
be the greatest lower bound and least upper bounds respectively. On checks
that
Assignment: Due April 13 . Fill in the details.
20.5 Definition:
A Metric Space is called complete if every Cauchy sequence converges. In particular,
is a complete metric space.
20.6 Theorem:
Let
be a complete Metric Space and let
be closed, then
is a complete Metric Space.
Proof:
Any Cauchy sequence in
converges
in
,
but
is
closed so it contains all its limit points.
20.7 Theorem:
Given Metric Spaces
and
, we can define a metric
on
by setting
Then if
and
are complete so is
.
Proof:
After checking that is a
metric,
the essential point is the proof is to show that if
is a Cachy sequence for
then
so is
and
for
and
respectively.
Hence
and
converge to
and
respectively. Finally,
converges to
.
Assignment: Due April 13 . State and prove the converse.
We would like to discuss the Category of Complete Metric Spaces. Unsettled is the appropriate choice of morphisms. Since we wish these to be structure preserving 20.4.1 tells us that continuous functions might be a poor choice since, in general, they do do preserve Cauchy sequences. There is an important sub-class of continuous functions which do preserve Cauchy sequences and, in fact, are the continous functions on an important sub-Category of Complete Metric Spaces.
20.8 Definition:
Given Metric Spaces
and
and a map
we say that
is
uniformly continuous if for all
,given any
0
there is a
0
such
that
Note
that this differs for continuity in that
is
independent of
.
Remarks:
We will show, for example, that every continuous function
0,1
0,1
is uniformly continuous.
To verify that complete metric spaces and uniformly continuous maps form a category we need to check the the composition of uniformly continuous maps is uniformly continuous.
20.9 Theorem:
In the setting of 20.8, if
is a Cauchy sequence in
then
is a Cauchy sequence in
.
Proof:
Given
0 we
need to find
n
such that if
n
then
But since is uniformly continuous we can choose
0
such
that
for
all
.
Select
n
such that if
n
then
We will also want to look at the following uniformly continuous functions.
20.10 Definition:
Given Metric Spaces
and
,a map
is said to be an isometry if for all
,
Given Metric Spaces
one first observes that if
0
then
is also a Metric Space
.
Moreover the two Metric Spaces have the same Cauchy Sequences.
In the setting of 1., Given a second metric
such that for all
we
have
then
and
have the same Cauchy Sequences.