Finding cluster points of a set?

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In summary, the cluster points for the set S = {all (1/n, 1/m) with n = 1, 2, ..., m = 1, 2, ...} are on the boundary of the open square formed by the points (0,0), (0,1), (1,0), (1,1). These cluster points include (0, 1/n) for each n and (1,0), as well as other points on the horizontal and vertical axes. This is because the points in the set become closer together near these axes, making them pile up and form cluster points. There is no cluster point at (1,1) as the nearest point to it is (1
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Homework Statement



What are the cluster points for the set

S = {all (1/n, 1/m) with n = 1, 2, ..., m = 1, 2, ...}

Homework Equations



A point p is a cluster point for a set S if every neighborhood about p contains infinitely many points of the set S.

The Attempt at a Solution



The graph of the set is the open square formed by the points (0,0) (0,1) (1,0) (1,1)?

The book says cluster points include those such as (0, 1/n) for each n and others on the horizontal axis, as well as the origin. I don't really understand why though...
 
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  • #2
No, the graph isn't the open square. It's discrete points in the open square. All of the cluster points are on the boundary of the open square. Do you understand why (1,0) is a cluster point?
 
  • #3
Think about when neighborhoods of points in your set pile up.
 
  • #4
Dick said:
No, the graph isn't the open square. It's discrete points in the open square. All of the cluster points are on the boundary of the open square. Do you understand why (1,0) is a cluster point?

The points become closer together near the vertical and horizontal axes. I think that's why the cluster points are on the vertical and horizontal axes. Or, they are of the form (0, 1/m) (1/n, 0) and (0, 0). But why is there a cluster point at, say, (1, 1)?
 
  • #5
There isn't a cluster point at (1,1). The nearest point to (1,1) is (1/2,1/2), isn't it? Hardly a cluster point.
 
  • #6
Dick said:
There isn't a cluster point at (1,1). The nearest point to (1,1) is (1/2,1/2), isn't it? Hardly a cluster point.

Ok, thank you so much!
 

Related to Finding cluster points of a set?

1. What are cluster points of a set?

Cluster points are points within a set that have at least one point of the set in every neighborhood. They can also be thought of as limits of a sequence of points in the set.

2. How do you find cluster points of a set?

To find cluster points, you can use the limit or accumulation point definition. This involves finding points in the set that are arbitrarily close to each other, or points that are infinitely close to each other in a sequence.

3. What is the difference between a cluster point and an isolated point?

A cluster point is a point within a set that has points in every neighborhood, while an isolated point is a point in a set that has no other points in its vicinity.

4. Can a set have multiple cluster points?

Yes, a set can have multiple cluster points. This can happen when there are multiple points in the set that are infinitely close to each other or when there are multiple points in the set that are arbitrarily close to each other.

5. Why is finding cluster points important?

Finding cluster points is important in understanding the behavior and structure of a set. It can also help in analyzing data and identifying patterns within a set. Additionally, cluster points can provide insight into the convergence or divergence of a sequence of points in the set.

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