Limits of Sequences in Metric Spaces
Recall that if a sequence of real numbers
is an infinite ordered list where
for every
. We will now generalize the concept of a sequence to contain elements from a metric space
.
Definition: Let
be a metric space. An (infinite) Sequence in
denoted
is an infinite ordered list of elements
for all
.
Finite sequences in a metric space can be defined as a finite ordered list of elements in
but their study is not that interesting to us.
We can also define whether a sequence
of elements from a metric space
converges or diverges.
Definition: Let
be a metric space. A sequence
in
is said to be Convergent to the element
written
if
and the element
is said to be the Limit of the sequence
. If no such
exists, then
is said to be Divergent.
There is a subtle but important point to make. In the definition above,
represents the limit of a sequence of elements from the metric space
to an element
while
represents the limit of a sequence of positive real numbers to
- such limits we already have experience with.
For example, if
is any nonempty set,
is the discrete metric, and
, then the sequence defined by
for all
, then the sequence:

Furthermore, it's not hard to see that this sequence converges to
, i.e.,
, i.e.,
since for all
we have that
, so
.
We will soon see that many of theorems regarding limits of sequences of real numbers are analogous to limits of sequences of elements from metric spaces.
The Boundedness of Convergent Sequences in Metric Spaces
If
is a metric space and
is a sequence in
that is convergent then the limit of this sequence
is unique.
We will now look at another rather nice theorem which states that if
is convergent then it is also bounded.
Theorem 1: Let
be a metric space and let
be a sequence in
. If
is convergent then the set
is bounded.
- Proof: Let
be a metric space and let
be a sequence in
that converges to
, i.e.,
. Then
. So for all
there exists an
such that if
then
. So for
there exists an
such that if
then:

- Now consider the elements
. This is a finite set of elements and furthermore the set of distances from these elements to
is finite:

- Define
to be the maximum of these distances:

- So if
we have that
and if
then
. Let
. Then for all
,
. So consider the open ball
. Then
for all
so:

- Therefore
is a bounded set in
. 
Convergent Sequences and Subsequences in Metric Spaces
We will now look at some nice criterion which tells us that in a metric space
, a sequence
converges to
if and only if every subsequence
converges to
. This is analogous to the similar result when we looked at convergent sequences of real numbers.
Theorem 1: Let
be a metric space, let
be a sequence in
, and let
. Then
converges to
if and only if every subsequence
of
converges to
.
- Proof:
Let
be a convergent sequence in
that converges to
. Then
. So
. Therefore, for all
there exists an
such that if
then:

- Let
be any subsequence of
. For each
we have that for some
that
and so for all
we have that
so by the convergence of
we have that:

- So for each
there exists a
such that if
then
, therefore, the subsequence
converges to
.
Suppose that every subsequence
of
converges to
. Then
is a subsequence of itself and converges to
. 
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