Proving Cauchy Convergence in Natural Nos: Metrics & Converse

In summary: The second view is that $\Bbb N$ is a subset of the reals, and the natural metric on $\Bbb N$ is the usual metric on the reals:$d(k,m) = \frac{1}{k+m}$ for all $k \geq m$.For any sequence $\{a_n\}$ in $\Bbb N$, we can ask:Is $\{a_n\}$ Cauchy?This is equivalent to asking:For all $n > N$, is there a real number $m$, such that:$d(a_m,a_n)
  • #1
solakis1
422
0
Using the fact that the Natural Nos are complete .then prove that every Cauchy sequence in Natural Nos converges in N and the converse.

I do not even know if we can have a Cauchy sequence in Natural Nos.

What would be the appropriate metric to use in our Cauchy sequence??
 
Last edited:
Physics news on Phys.org
  • #2
solakis said:
Using the fact that the Natural Nos are complete .then prove that every Cauchy sequence in Natural Nos converges in N and the converse.

I do not even know if we can have a Cauchy sequence in Natural Nos.

What would be the appropriate metric to use in our Cauchy sequence??

You will need to specify what you mean by complete here since the usual definition is to a hand waving approximation that a metric space is complete iff every Cauchy sequence converges.

The obvious metric here would be the discrete metric:

\(\displaystyle \rho (x,y)=\begin{cases}1,& {\rm{if}}\ x\ne y \\ 0,& {\rm{if}}\ x = y \end{cases}\)

or even:

\(\displaystyle \rho(x,y)=|x-y|\)

for the purposes of convergence of sequences these should be equivalent (as would most natural choices of metric) so the choice would be whichever is most convenient.

.
 
Last edited:
  • #3
zzephod said:
You will need to specify what you mean by complete here since the usual definition is to a hand waving approximation that a metric space is complete iff every Cauchy sequence converges.

The obvious metric here would be the discrete metric:

\(\displaystyle \rho (x,y)=\begin{cases}1,& {\rm{if}}\ x\ne y \\ 0,& {\rm{if}}\ x = y \end{cases}\)

or even:

\(\displaystyle \rho(x,y)=|x-y|\)

for the purposes of convergence of sequences these should be equivalent (as would most natural choices of metric) so the choice would be whichever is most convenient.

.

How do we define |x-y| in natural Nos??

Are the sequences of the type : 1,1,1,1,1,1,1...

5,5,5,5,5,5,5......

The only Cauchy sequences in Natural Nos??
 
  • #4
solakis said:
How do we define |x-y| in natural Nos??

Are the sequences of the type : 1,1,1,1,1,1,1...

5,5,5,5,5,5,5......

The only Cauchy sequences in Natural Nos??

A metric on a space is a real functional defined on the space, so it takes values in \(\displaystyle \mathbb{R}\). By \(\displaystyle |x-y|\) we mean the real corresponding to the natural \(\displaystyle x-y\) when \(\displaystyle x\ge y\) and \(\displaystyle y-x\) otherwise, where our definition of naturals includes \(\displaystyle 0\). What that means depends on how you have constructed (or defined) the reals.

Note, even for the discrete metric the \(\displaystyle 0\) and \(\displaystyle 1\) are to be considered reals not naturals.

The Cauchy sequences are those that beyond a certain point are constant.

.
 
Last edited:
  • #5
zzephod said:
A metric on a space is a real functional defined on the space, so it takes values in \(\displaystyle \mathbb{R}\)

.

Or is the function defined on a space and takes values in the positive real Nos??
 
  • #6
solakis said:
Or is the function defined on a space and takes values in the positive real Nos??

I am not defining a metric here so this is sufficient for my purpose. Which is to point out that the range of the metric is a subset of the reals.

If I were defining a metric, that it is a non-negative would appear in the definition usually in the form \(\displaystyle d(x,y)\ge 0\), and \(\displaystyle d(x,y)=0 \Leftrightarrow x=y\) and this would appear after stating that a metric is a function from the Cartesian product of the space with itself to the reals satisfying the conditions. Which you of course already know as you have the definition of a metric space in front of you!

(the non-negativity condition is redundant as it follows from the triangle inequality and symmetry conditions in the usual presentation of the definition)

Finally, why are we even discussing this, your original question is resolved and these subsequent questions can be resolved by looking at the definition which you presumably have in front of you. To summarise stop wasting peoples time on questions to which you know the answers. It make you look like a troll (and quack like a troll ...).

.
 
Last edited:
  • #7
There are two slightly different "competing views" of the natural numbers in this thread. I will attempt to make clear what I mean:

We can view $\Bbb N$ as "a space unto itself", without reference to it belonging to some "larger structure".

We can view $\Bbb N$ as a "distinguished subset of the reals, $\Bbb R$".

In the first view the "natural metric" to impose upon $\Bbb N$ is the discrete metric:

$d(k,m) = 1$ for $k \neq m$
$d(k,k) = 0$.

We can ask, what is a Cauchy sequence, with this first metric? To do this, we have to rephrase the Cauchy condition in terms of an arbitrary metric. We say that a sequence $\{a_n\}$ is Cauchy with respect to the metric $d$, if for any REAL $\epsilon > 0$, there is some natural number $N$, such that, for all natural numbers $m,n > N$:

$d(a_m,a_n) < \epsilon$

It is clear that any sequence which is eventually constant is Cauchy under this revised definition. It should also be clear that if a sequence is Cauchy, then for $\epsilon = \frac{1}{2}$ the only way we can have:

$d(a_{n+k},a_n) < \frac{1}{2}$

for all $n > N$ (no matter what $N$ may be), is for $a_{n+k} = a_n$ for all $n > N$ and all $k$, which is to say the sequence is eventually constant.

The second view of the natural numbers is to view them as a subset of the real numbers, which has the "usual metric":

$d(x,y) = |y - x|$.

We then view $\Bbb N$ as a subspace with the relative metric topology. Note that for $k,m \in \Bbb N$, that $d(k,m) = 0$ or $d(k,m) \in \Bbb N$. In particular, if:

$d(a_m,a_n) = |a_n - a_m| < \frac{1}{2}$

for all $m,n > N$ then we must have $|a_n - a_m| = 0 \implies a_n = a_m$.

So, even though this is "a different metric", we get the same Cauchy sequences as before: the ones that are eventually constant (that is, constant except for a finite number of terms at the beginning).
 

Related to Proving Cauchy Convergence in Natural Nos: Metrics & Converse

1. What is Cauchy Convergence?

Cauchy Convergence is a mathematical concept that states that a sequence of numbers is considered convergent if the difference between any two terms in the sequence can be made arbitrarily small by choosing a specific point in the sequence as a starting point.

2. How is Cauchy Convergence proven in natural numbers?

In order to prove Cauchy Convergence in natural numbers, we must show that for any epsilon greater than zero, there exists a natural number N such that for all natural numbers n and m greater than or equal to N, the absolute difference between the nth and mth terms in the sequence is less than epsilon.

3. What is a metric in the context of Cauchy Convergence?

In the context of Cauchy Convergence, a metric is a function that measures the distance between two elements in a set. In order to prove Cauchy Convergence, we use a metric to show that the difference between two terms in the sequence can be made arbitrarily small.

4. Can Cauchy Convergence be proven in other number systems besides natural numbers?

Yes, Cauchy Convergence can be proven in other number systems such as real numbers, complex numbers, and rational numbers. However, the specific proof may vary depending on the number system being used.

5. What is the converse of Cauchy Convergence?

The converse of Cauchy Convergence is the statement that if a sequence of numbers is convergent, then it must also satisfy the criteria for Cauchy Convergence. In other words, if the difference between any two terms in a sequence can be made arbitrarily small, then the sequence is considered convergent.

Similar threads

Replies
6
Views
2K
Replies
2
Views
1K
Replies
2
Views
2K
  • Topology and Analysis
Replies
4
Views
1K
Replies
4
Views
1K
Replies
5
Views
2K
  • Topology and Analysis
Replies
2
Views
1K
  • Topology and Analysis
Replies
10
Views
2K
  • Topology and Analysis
Replies
1
Views
1K
  • Topology and Analysis
Replies
6
Views
2K
Back
Top