|
|
Line 47: |
Line 47: |
| <ul> | | <ul> |
| <li>Therefore <span class="math-inline"><math>\{ x_1, x_2, ..., x_n, ... \}</math></span> is a bounded set in <span class="math-inline"><math>M</math></span>. <span class="math-inline"><math>\blacksquare</math></span></li> | | <li>Therefore <span class="math-inline"><math>\{ x_1, x_2, ..., x_n, ... \}</math></span> is a bounded set in <span class="math-inline"><math>M</math></span>. <span class="math-inline"><math>\blacksquare</math></span></li> |
− | </ul>
| |
− |
| |
− | ===Convergent Sequences and Subsequences in Metric Spaces===
| |
− | <p>We will now look at some nice criterion which tells us that in a metric space <span class="math-inline"><math>(M, d)</math></span>, a sequence <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span> if and only if every subsequence <span class="math-inline"><math>(x_{n_k})_{k=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span>. This is analogous to the similar result when we looked at convergent sequences of real numbers.</p>
| |
− | <blockquote style="background: white; border: 1px solid black; padding: 1em;">
| |
− | <td><strong>Theorem 1:</strong> Let <span class="math-inline"><math>(M, d)</math></span> be a metric space, let <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> be a sequence in <span class="math-inline"><math>M</math></span>, and let <span class="math-inline"><math>p \in M</math></span>. Then <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span> if and only if every subsequence <span class="math-inline"><math>(x_{n_k})_{k=1}^{\infty}</math></span> of <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span>.</td>
| |
− | </blockquote>
| |
− | <ul>
| |
− | <li><strong>Proof:</strong> <span class="math-inline"><math>\Rightarrow</math></span> Let <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> be a convergent sequence in <span class="math-inline"><math>M</math></span> that converges to <span class="math-inline"><math>p</math></span>. Then <span class="math-inline"><math>\lim_{n \to \infty} x_n = p</math></span>. So <span class="math-inline"><math>\lim_{n \to \infty} d(x_n, p) = 0</math></span>. Therefore, for all <span class="math-inline"><math>\epsilon > 0</math></span> there exists an <span class="math-inline"><math>N = N(\epsilon) \in \mathbb{N}</math></span> such that if <span class="math-inline"><math>n \geq N</math></span> then:</li>
| |
− | </ul>
| |
− |
| |
− | <div style="text-align: center;"><math>\begin{align} \quad d(x_n, p) < \epsilon \end{align}</math></div>
| |
− | <ul>
| |
− | <li>Let <span class="math-inline"><math>(x_{n_k})_{k=1}^{\infty}</math></span> be any subsequence of <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span>. For each <span class="math-inline"><math>\epsilon > 0</math></span> we have that for some <span class="math-inline"><math>K \in \mathbb{N}</math></span> that <span class="math-inline"><math>n_K \geq N(\epsilon)</math></span> and so for all <span class="math-inline"><math>k \geq K</math></span> we have that <span class="math-inline"><math>n_k \geq N(\epsilon)</math></span> so by the convergence of <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> we have that:</li>
| |
− | </ul>
| |
− | <div style="text-align: center;"><math>\begin{align} \quad d(x_{n_k}, p) < \epsilon \end{align}</math></div>
| |
− | <ul>
| |
− | <li>So for each <span class="math-inline"><math>\epsilon > 0</math></span> there exists a <span class="math-inline"><math>K \in \mathbb{N}</math></span> such that if <span class="math-inline"><math>k \geq K</math></span> then <span class="math-inline"><math>d(x_{n_k}, p) < \epsilon</math></span>, therefore, the subsequence <span class="math-inline"><math>(x_{n_k})_{k=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span>.</li>
| |
− | </ul>
| |
− | <ul>
| |
− | <li><span class="math-inline"><math>\Leftarrow</math></span> Suppose that every subsequence <span class="math-inline"><math>(x_{n_k})_{k=1}^{\infty}</math></span> of <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> converges to <span class="math-inline"><math>p</math></span>. Then <span class="math-inline"><math>(x_n)_{n=1}^{\infty}</math></span> is a subsequence of itself and converges to <span class="math-inline"><math>p</math></span>. <span class="math-inline"><math>\blacksquare</math></span></li>
| |
| </ul> | | </ul> |
| | | |
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
. 
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