Heine-Borel Theorem - Proof - Rudin Theorem 2.41

In summary: Bbb Z^+$, there is a point $y$ such that $y\in S$ and $d(x_n,y)<1/2$. That is, I inferred that $S$ has no limit point in $\Bbb R^k$. However, I could not see a way to actually prove this.Someone more experienced in the subject might be better suited to critique my reasoning.
  • #1
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I am reading Walter Rudin's book, Principles of Mathematical Analysis.

Currently I am studying Chapter 2:"Basic Topology".

Although I can basically follow it, I am concerned that I do not fully understand the proof of Theorem 2.41 (Heine-Borel Theorem).

Rudin, Theorem 2.41 reads as follows:View attachment 3795
View attachment 3796

In the above proof we read:

" ... It remains to be shown that (c) implies (a).

If \(\displaystyle E\) is not bounded, then \(\displaystyle E\) contains points \(\displaystyle x_n\) with

\(\displaystyle | x_n | \gt n\) \(\displaystyle \ \ \ \ \ \) \(\displaystyle (n = 1,2,3, ... )\).

The set \(\displaystyle S\) consisting of these points \(\displaystyle x_n\) is infinite and clearly has no limit point in \(\displaystyle R^k\), hence has none in \(\displaystyle E\). ... ... "


I cannot see how Rudin concludes that the set \(\displaystyle S\) "clearly" has no limit point in \(\displaystyle R^k\) ... ...

Can someone explain exactly why this is the case ... what is the formal and rigorous argument?

PeterNOTE: I apologise to MHB members for the fact that a Mac Taskbar appears in the image above ... ... I have no idea how that happened!
 
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  • #2
Peter said:
I am reading Walter Rudin's book, Principles of Mathematical Analysis.

Currently I am studying Chapter 2:"Basic Topology".

Although I can basically follow it, I am concerned that I do not fully understand the proof of Theorem 2.41 (Heine-Borel Theorem).

Rudin, Theorem 2.41 reads as follows:In the above proof we read:

" ... It remains to be shown that (c) implies (a).

If \(\displaystyle E\) is not bounded, then \(\displaystyle E\) contains points \(\displaystyle x_n\) with

\(\displaystyle | x_n | \gt n\) \(\displaystyle \ \ \ \ \ \) \(\displaystyle (n = 1,2,3, ... )\).

The set \(\displaystyle S\) consisting of these points \(\displaystyle x_n\) is infinite and clearly has no limit point in \(\displaystyle R^k\), hence has none in \(\displaystyle E\). ... ... "


I cannot see how Rudin concludes that the set \(\displaystyle S\) "clearly" has no limit point in \(\displaystyle R^k\) ... ...
Can someone explain exactly why this is the case ... what is the formal and rigorous argument?

PeterNOTE: I apologise to MHB members for the fact that a Mac Taskbar appears in the image above ... ... I have no idea how that happened!
I have just reflected on the question in my above post ... I suspect that the answer is obvious ... my thoughts follow ... ...
We have \(\displaystyle S = \{ x_n \}\) ...

Now, if some \(\displaystyle x_n\) is a limit point of \(\displaystyle S\), then every neighbourhood of \(\displaystyle x_n\) must contain a point \(\displaystyle y \ne x_n\) such that \(\displaystyle y \in S\).

But the neighbourhood \(\displaystyle N_{1/2}(x_n)\) consisting of points \(\displaystyle y \in S\) such that \(\displaystyle d(x_n, y) \lt 1/2\) contains no points except \(\displaystyle x_n\) ... ...

So ... ... no \(\displaystyle x_n \in S\) is a limit point of \(\displaystyle S\) in \(\displaystyle R^k\) ...
Can someone critique my analysis above and either confirm that the analysis is correct and/or point out any errors or shortcomings ...

Peter
 
  • #3
You haven't proven that $S$ contains no limit point in $\Bbb R^k$. Even so, how do you know that $N_{1/2}(x_n)$ contains no point other than $x_n$? In your argument, you never used the fact that $|x_n| > n$ for all $n \in \Bbb Z^+$.

Now, if $S := \{x_n : n\in \Bbb Z^+\}$, then $S$ contains no limit point in $\Bbb R^k$ because $(x_n)$ has no convergent subsequence. Indeed, if $S$ had a limit point, then that point would be a limit of a subsequence $(x_{n_k})$ of $x_n$, which implies $(x_{n_k})$ is convergent. However, since $|x_n| > n$ for all $n$, for every subsequence $(x_{m_j})$ of $(x_n)$, $|x_{n_j}| > n_j \ge j$ for all $j$. This implies that every subsequence of $(x_{n_j})$ is unbounded, and consequently $x_n$ has no convergent subsequence. Therefore, $S$ has no limit point in $\Bbb R^k$.
 
  • #4
Euge said:
You haven't proven that $S$ contains no limit point in $\Bbb R^k$. Even so, how do you know that $N_{1/2}(x_n)$ contains no point other than $x_n$? In your argument, you never used the fact that $|x_n| > n$ for all $n \in \Bbb Z^+$.

Now, if $S := \{x_n : n\in \Bbb Z^+\}$, then $S$ contains no limit point in $\Bbb R^k$ because $(x_n)$ has no convergent subsequence. Indeed, if $S$ had a limit point, then that point would be a limit of a subsequence $(x_{n_k})$ of $x_n$, which implies $(x_{n_k})$ is convergent. However, since $|x_n| > n$ for all $n$, for every subsequence $(x_{m_j})$ of $(x_n)$, $|x_{n_j}| > n_j \ge j$ for all $j$. This implies that every subsequence of $(x_{n_j})$ is unbounded, and consequently $x_n$ has no convergent subsequence. Therefore, $S$ has no limit point in $\Bbb R^k$.
Thanks for your help, Euge.

By way of explanation (for some inexplicable reason! (Doh) ), I read Rudin's proof as saying that \(\displaystyle |x_n| = 1\) and from there convinced myself that this meant that for each n, the open ball \(\displaystyle N_{1/2}(x_n)\) would contain only \(\displaystyle x_n\) ... ... and thus \(\displaystyle \{ x_n \}\) would contain no limit points ... ... silly!

I am currently searching analysis texts to find theorems involving limit points and subsequences ... looks like you are saying there is a theorem that says that if a sequence has a limit point then it must be the limit of a subsequence of the sequence ...

Well, definitely sounds true, intuitively anyway ... just cannot find such a result in Rudin, Apostol or Pugh ...

But anyway, can follow your logic ...

Thanks again for your help,

PeterNOTE: I think Rudin must have had in mind a different/alternative argument from one involving subsequences since this proof is in Ch. 2: Basic Topology ... while the text deals with sequences and subsequences in Ch. 3: Numerical Sequences and Series ...
 
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  • #5
The "theorem" that you think I'm using is based off of the method of induction. Using the definition of a limit point of a sequence, you (inductively) extract a subsequence. Sequence extraction is something you have done several times when dealing with Noetherian rings and modules. With more practice, you will get a firmer grasp of the concept.
 
  • #6
Euge said:
The "theorem" that you think I'm using is based off of the method of induction. Using the definition of a limit point of a sequence, you (inductively) extract a subsequence. Sequence extraction is something you have done several times when dealing with Noetherian rings and modules. With more practice, you will get a firmer grasp of the concept.
Thanks Euge ... always appreciate your guidance and help ...

Peter
 

FAQ: Heine-Borel Theorem - Proof - Rudin Theorem 2.41

1. What is the Heine-Borel Theorem?

The Heine-Borel Theorem is a fundamental result in topology that states that a subset of the real numbers is compact if and only if it is closed and bounded.

2. Who created the Heine-Borel Theorem?

The Heine-Borel Theorem was first proven by German mathematicians Eduard Heine and Felix Borel in the late 19th century.

3. What is the proof of the Heine-Borel Theorem?

The proof of the Heine-Borel Theorem involves using the Bolzano-Weierstrass Theorem and the Nested Interval Theorem to show that any open cover of a closed and bounded set can be reduced to a finite subcover, thus proving its compactness.

4. What is Rudin Theorem 2.41?

Rudin Theorem 2.41 is a statement of the Heine-Borel Theorem in Walter Rudin's book "Principles of Mathematical Analysis". It states that a subset of the real numbers is compact if and only if it is closed and bounded.

5. What are the applications of the Heine-Borel Theorem?

The Heine-Borel Theorem has many applications in mathematics, including in the study of limits, continuity, and compactness of real-valued functions. It also has applications in physics, engineering, and economics.

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