What Is First-Countability in a Metric Space: Missed Point Explained

In summary, the conversation discusses the concept of first countability in a metric space and how every metric space is first-countable. It also goes into detail about the definition of a neighbourhood basis and how it can be used to express open sets in terms of unions of basis elements. There is also a mention of the examples given on Wikipedia and how they may not be the most practical or accurate.
  • #1
matness
90
0
I have come up with an example when I trying to learn what first countability means
It says(from wikipedia)
In a metric space, for any point x, the sequence of open balls around x with radius 1/n form a countable neighbourhood basis [tex]\mathcal{B}(x) = \{ B_{1/n}(x) ; n \in \mathbb N^* \}.[/tex] This means every metric space is first-countable.

According to definition of nhd basis we can express every open set can be expressed as a union of elts of nhd basis But for example [tex] \{ B_{ sqrt{2} }(x) [/tex] can not be expressed in this way

Here is the question
which point did i miss?
 
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  • #2
The union can be of an infinite number of sets.
 
  • #3
But the ball is given as [tex] \{B_{1/n}(x) [/tex] i.e. center is x , meaning the biggest ball( i.e. ball with smallest n) will be the union)
and there is always a real number between 1/n and 1/n+1

definition says every open ball of x can be written as a union of elts of basis .If it has said every open ball is contained in the union it would be easier to understand .

So maybe I should ask first whether the definition i learned is correct or not
 
  • #4
Forget my last post. Without thinking, I thought the answer had something to do with writing [itex]\sqrt{2}[/itex] as the limit of a sequence of rational numbers.

I don't know what "union of elts of nhd basis" means. In particular, elt is not in any of my topology references.

The definitions I see say that for any x, there a countable neighbourhood basis of x such any neigbourhood of x contains at least one member of the neighbourhood basis. In your example, every member of the basis in contained in the neighbourhood that you chose.
 
  • #5
elt means element, a common shorthand.

You can express the ball of radius sqrt(2) about a point as the union of elements in the given basis: just take a union over all possible sets of the form B_{1/n}(y) that are contained in B{\sqrt(2)}(x).

A clearer countable set would be the set of balls of rational radii.
 
  • #6
matt grime said:
elt means element, a common shorthand.

Yikes! I feel a bit silly now. It has benn some years since I was a student, but I don't recall hearing or seeing this term in any of the lectures for the analysis and topoplogy courses that I took.

You can express the ball of radius sqrt(2) about a point as the union of elements in the given basis: just take a union over all possible sets of the form B_{1/n}(y) that are contained in B{\sqrt(2)}(x).

I also had something like this in mind, but I thought matness wanted to stick to {B_{1/n}(x)}.
 
  • #7
I didn't go beyond sets of the form B_{1/n}(x). matness's problem is, I think, that he assumes that when expressing a set as the union of open nbd basis elements that they all have to have the same centre. This is not the case.
 
  • #8
I didn't go beyond sets of the form B_{1/n}(x). matness's problem is, I think, that he assumes that when expressing a set as the union of open nbd basis elements that they all have to have the same centre. This is not the case.
yes the problem is this
and the source of problem is the example in wikpedia that is included in my first post
[tex]\mathcal{B}(x) = \{ B_{1/n}(x) ; n \in \mathbb N^* \}.[/tex]

On the other hand I mostly agree with you
using basis like a cover (roughly) seems more reasonable
 
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  • #9
and one more thing
in my lecture notes the definition is given as:
(X,T) a topological space and B is a subset of T
if every open nhd of a point p is union of a collection of elements of B then B is called a nhd basis for p.

Is there a problem?
I just wanted to be sure whether I have taken the notes correctly or not
 
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  • #10
Nope, that's the correct definition.
But note that it doesn't say that the elements in the union should all contain p (just at least one of them, of course, otherwise p is not in the union).
Also note, that usually there isn't much to construct. For example, in your original question, the best we can do is:
[tex]B_{\sqrt{2}}(x) = \bigcup_{B \in \mathcal{B}} B[/tex],
where [itex]\mathcal{B}[/itex] consists of all sets in the basis which are inside the left hand side (so all [itex]B_{1/n}(y) \subseteq B_{\sqrt{2}}(x)[/itex], which is of course true but not very practical if you'd want to draw them or write them down.
 
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  • #11
[tex]B_{\sqrt{2}}(x) = \bigcap_{B \in \mathcal{B}} B[/tex]
I assume you mean union( if there is anything I missed please warn me )
On the other hand I started to think the example in wiki wasn't that correct after your posts
thanks
 
  • #12
Indeed, I meant union, apparently I can't tell the difference between \cup and \cap :smile:. My apologies, it's fixed.
 

1. What is first-countability in a metric space?

First-countability is a property of a metric space where every point has a countable neighborhood basis. This means that for every point in the space, there exists a countable collection of open sets that includes the point and any open set containing the point also contains one of the sets in the collection.

2. How does first-countability differ from second-countability?

Second-countability is a stronger property than first-countability. While first-countability only requires a countable neighborhood basis for each point, second-countability requires a countable basis for the entire space. This means that the collection of all open sets in the space can be expressed as a countable union of open sets.

3. Why is first-countability important in metric spaces?

First-countability allows for a more manageable and structured understanding of the topological properties of a metric space. It also makes it easier to prove theorems and establish properties of the space. Additionally, many important spaces, such as Hausdorff spaces, are first-countable.

4. Can a metric space be first-countable and not second-countable?

Yes, it is possible for a metric space to be first-countable but not second-countable. An example of such a space is the lower limit topology on the real line, where the basis consists of all half-open intervals [a,b).

5. How is first-countability related to continuity?

In a first-countable space, a function is continuous at a point if and only if the limit of the function at that point is equal to the function value. This is known as the sequential criterion for continuity. In second-countable spaces, this criterion holds for all points in the space, making it a stronger condition for continuity.

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