Non discrete metric space on infinite set

In summary: The question is part of a hint that is given to help the students to solve the question.In summary, the conversation discusses how to find an open set u in an infinite set M with a metric d, such that both u and its complement are infinite. The conversation also touches on the concepts of discrete and non-discrete metrics, countable and uncountable sets, and open balls of a given radius. The speaker suggests that the best approach may be to divide into two cases and use the concept of accumulation points to prove the existence of such an open set. However, the speaker also acknowledges that this may be difficult without prior knowledge or understanding of these concepts.
  • #1
elias001
12
0

Homework Statement



let d be a metric on an infinite set m. Prove that there is an open set u in m such that both u amd its complements are infinite.

Homework Equations



If d is not a discrete metric, and M is an infinite set (uncountble), then we can always form an denumerable subset (countably infinite).

My question is i don't know how to find an open subset for a given radius delta. I know how to do it if d is a discrete metric and M is a countably infinite set.

Thanks in advance
 
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  • #2
Well, you seem to be very confused. Let's try to clear up a few points first:

elias001 said:
If d is not a discrete metric, and M is an infinite set (uncountble), then we can always form an denumerable subset (countably infinite)

You can find a countably infinite subset whether the metric is discrete or not, why would discreteness matter here? Also, you say uncountable as though that were a synonym for infinite. It isn't -- an infinite set may be either countable or uncountable.

My question is i don't know how to find an open subset for a given radius delta. I know how to do it if d is a discrete metric and M is a countably infinite set.

The open ball of radius δ around a point x is simply the set of all points y such that d(y, x)<δ. What is confusing you about this? Also, why do you keep bring up the countable/uncountable distinction? It has nothing to do with this problem!

I get the feeling that you have just tried to memorize the concepts in your textbook without understanding them first. So the first piece of advice is to go back to the part of your text where an open set is defined and study carefully this definition. Come back when you can you can both give me the formal definition of an open set and an informal description of an open set in your own words.
 
  • #3
Sorry i should have been more specific.

Suppose if I am given a non discrete metric d, and an infinite set M, let M' be an countably infinite subset M' such that it only contains an even number of the elements from M, and pick an x in M', then we enclosed an open δ-ball around x, but how do we know that such an open ball would only contain the even elements from M' and would also contain the odd elements from M.
 
  • #4
I also am completely confused by this. I don't see why you keep talking about "countable" sets nor why you now want M' to contain "an even number" (and so finite) number of points. Neither has anything to do with a set being "open".

Finally, while you first say "an even number of elements from M" you later say "the even elements" and "the odd elements". Are you assuming your set M consists of integers? You are supposed to show this for M any infinite set, not necessarily containing the integers.
 
  • #5
As improbable as it might seem, elias's latest post has given me enough information to form a plausible guess as to what he's trying to do.

elias, I think the proof strategy you're attempting is this: You want to first enumerate a countable subset [itex]\{x_1, x_2, \ldots \} \subseteq M[/itex], and then try to show that there is an open set which contains all of the [itex]x_n[/itex] where n is even and none of the [itex]x_n[/itex] where n is odd. You want to do this by picking the elements in such a way that the open ball of the fixed radius δ around each point of the form [itex]x_{2n}[/itex] does not contain any points of the form [itex]x_{2m+1}[/itex]. And while this is easy when the metric is discrete (choose δ < 1, and then choose the [itex]x_n[/itex] arbitrarily), you don't have the slightest idea how to make such a selection for an arbitrary metric.

Does that sound about right?
 
  • #6
@Citan Uzuki

Yes, that is what i am trying to ask. I don't know how to do it for the case where d is a metric that is not discrete. Basically i don't know how to choose an open set with a specific δ that in such a way that contain only the even number of elements.

Sorry, i am not very good at typing math symbols.
 
  • #7
Okay, now we're getting somewhere. Unfortunately, you cannot hope to succeed using a fixed δ, as there are examples of sets M where every infinite subset A that contains all elements within δ of some element of A must contain all but finitely many elements of M. One example of such a set is [itex]\{\frac{1}{n} : n\in \mathbb{N}\}\cup\{0\}[/itex] So you will have to vary your strategy.

The approach I would use is to divide into two cases. First, suppose that there are two distinct accumulation points of M, say, x_1 and x_2. Prove that every open ball around an accumulation point of M must contain infinitely many elements of M (hint: prove the contrapositive). Then simply show that there exist two disjoint open balls B_1 and B_2 centered around x_1 and x_2, respectively. Then either of these open balls will satisfy the conclusion of the theorem

In the second case, we suppose that there is at most one accumulation point of M. Then every other point of M is an isolated point, so any subset whatsoever of the other points of M will be an open set (note: when proving this, you will have to choose a different δ for each point in the set), and then you can use the enumeration technique to choose an infinite subset whose complement is also infinite.
 
  • #8
is there any way to do it without introducing the concepts of accumlation point and limit point. The question came from a text call Real analysis, by N.L carothers. at the point of the text where the question is asked, only metric spaces, definitions of open and closed sets in terms of neighborhood definition and definitions based on convergent sequences, but limit points, closure and accumlation points and such have not been defined until the next section.

Also, does every metric space include at least or more than one accumulation point. The reason i asked is that the question's hypothesis does not include much information that can be used.

Thanks
 
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  • #9
You can avoid introducing the names, but I don't think that there's a way to avoid introducing the concepts. I mean, the hint given for the problem is that "either the space is discrete or it's not," i.e. either it has a limit point or it doesn't. Although, since he uses this particular dichotomy and has mentioned convergence of sequences at this point, my guess is that the proof he has in mind is to show that if {x_n} is a sequence of elements converging to x with no x_n equal to x, then the elements {x_n} form a discrete subspace. Frankly, I think you should attempt my approach, since the lemmas you'll have to prove (that every open set around an accumulation point of the space contains infinitely many elements) will be stuff you have to do as problems in the next chapter anyway, and you may as well get them out of the way.

Also, let me clarify one point the author doesn't: while he casually introduces the concept of a discrete space as one equipped with the discrete metric, he then goes on to use it to refer to any set with an equivalent metric (i.e. one where every set is open). This is standard mathematical usage, but I don't think he mentions that anywhere between when he first defines a discrete space and this problem.
 
  • #10
Thank you for the clarification. By the way Citan Uzuki, did you use Carothers' text at some point in your education?

One other thing that is not related to my original question, when i make a thread, how do i get more math symbols on the default "quick symbol" palate to show up. I know some people might be using latex, but i don't know how to type using latex.
 
  • #11
elias001 said:
Thank you for the clarification. By the way Citan Uzuki, did you use Carothers' text at some point in your education?

No I didn't, but I do have access to it.

One other thing that is not related to my original question, when i make a thread, how do i get more math symbols on the default "quick symbol" palate to show up. I know some people might be using latex, but i don't know how to type using latex.

The symbols are just unicode characters, so if you want to type a symbol not on the quick symbols list, you can always open up character map (if you're using windows, I don't know what the equivalent on other operating systems is) and copy the symbols from there.
 
  • #12
thank you again for your assistance. :)
 

1. What is a non-discrete metric space on an infinite set?

A non-discrete metric space is a mathematical structure that consists of an infinite set of points and a distance function or metric. In this type of space, the distance between any two points can take on any value, rather than being limited to discrete values.

2. How is a non-discrete metric space different from a discrete metric space?

A discrete metric space is a mathematical structure where the distance between any two points is either 0 or 1. In contrast, a non-discrete metric space allows for a wider range of distances between points, including non-integer values.

3. What are some examples of non-discrete metric spaces on infinite sets?

Some examples include the real number line with the usual distance metric, the Euclidean plane with the standard distance function, and the set of all continuous functions on a closed interval with the supremum norm as the distance metric.

4. What are the implications of having a non-discrete metric space on an infinite set?

Having a non-discrete metric space allows for a more nuanced understanding of distance and continuity in mathematical analysis. It also opens up the possibility for more complex and interesting mathematical structures and concepts.

5. How is the concept of a non-discrete metric space relevant to real-world applications?

Non-discrete metric spaces have applications in various fields, such as computer science, physics, and economics. They can be used to model complex systems and analyze data in a more precise and flexible manner. For example, they are used in machine learning algorithms to measure the similarity between data points.

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