Distance Between Closed sets in a metric space

In summary, We discussed the definition of distance between two sets in a metric space, and how to construct an example of two closed, disjoint sets whose distance is zero under this definition. We also explored the possibility of such a scenario and found that it is only possible when both sets are unbounded. Additionally, we proved that if one of the sets is compact, then the distance between the two sets cannot be zero.
  • #1
Pbrunett
5
0
Hey guys, thanks for looking at this.

Ok, so we're given the distance, d(x,C) between a point, x, and a closed set C in a metric space to be: inf{d(x,y): for all y in C}. Then we have to generalize this to define the distance between two sets I'm fairly certain you can define it as:

the distance between closed sets D and C in a metric space, d(C,D) = inf{d(y,D): for all y contained in C}. Which should be equivalent to inf{d(x,y): for all x,y contained in C,D respectively}.

My question is this: How to construct an example of two closed, disjoint sets whose distance is zero under this definition? I feel like I need to find two sets containing points that can be made arbitrarily close, but am unsure how to do this without some point being a limit point of both sets, contradicting C,D disjoint.

If you guys have an idea that would be great, I'd much prefer a hint or nudge in the right direction if possible.

Thanks again.
 
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  • #2
I presume you get to pick your metric space too...
 
  • #3
yes, sorry, forgot to mention that we're talking about a generalized metric space.

I must say that I have a hard time imagining a scenario where this (the aforementioned problem) is possible, I formerly operated under the assumption(read:intuition) that closed and disjoint in a metric space implied some distance between sets.
 
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  • #4
Here's my approach -- figure out your sets first, then decide upon the metric space. :smile:
 
  • #5
thanks for the help!
 
  • #6
Consider unbounded sets. The distance of two unbounded sets in Euclidean spaces (with the usual metric) can be 0.

Example: Let A = {(t,0): t>=0}, B={(t,1/t): t>=0}. Both are closed, unbounded and their distance is 0.

If one of the sets compact, then the distance can never be zero.

Proof: Let A be compact, B be closed. Since d(A,B) = inf{d(x,y): x in A, y in B}, there exists two sequences (x_n) in A and (y_n) in B, s.t. lim d(x_n,y_n) = d(A,B). Since A is compact, (x_n) has a convergent subsequence (x_n_k), say lim (x_n_k) = x0 in A. Since (d(x_n,y_n)) is convergent, so is its subsequence (d(x_n_k,y_n_k)). In sum,
d(A,B) = lim d(x_n,y_n) = lim (d(x_n_k,y_n_k)) = lim (d(x0,y_n_k)).

Now, if d(A,B) = 0, then x0 is an accumulation point of B. Since B is closed, x0 must be in B. But, x0 cannot be both in A and B: the two sets are disjoint. Thus, we must have d(A,B)>0.
 

FAQ: Distance Between Closed sets in a metric space

What is the definition of "distance between closed sets" in a metric space?

The distance between two closed sets A and B in a metric space is defined as the infimum of all possible distances between any two points, where one point is from set A and the other is from set B. This means that it is the smallest possible distance between any two points in the two sets.

How is the distance between closed sets calculated?

The distance between closed sets can be calculated using the distance function of the metric space. This function assigns a value to the distance between any two points in the space. The infimum of all possible distances between points in the two sets is then taken to find the distance between the closed sets.

What is the significance of the distance between closed sets in a metric space?

The distance between closed sets is an important concept in metric spaces as it allows us to quantify the separation between two sets. It also helps us to understand the structure and properties of a metric space by providing a measure of how far apart the sets in the space are from each other.

Can the distance between closed sets ever be negative?

No, the distance between closed sets cannot be negative. The definition of distance in a metric space only allows for non-negative values, meaning that the distance between any two points or sets must be greater than or equal to zero.

How does the distance between closed sets relate to the topology of a metric space?

In a metric space, the distance between closed sets is closely related to the topology of the space. It can be used to define the concept of separability, which is an important property in topology. Additionally, the distance between closed sets can also help to determine the convergence or divergence of a sequence of points in the metric space.

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