Distance between Sets and their Closures

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In summary, the conversation discusses the relationship between distance and metric spaces, specifically in relation to sets A and B and their respective closures. The attempt at a solution shows that the distance between the closures of A and B is equal to the distance between A and B. It also considers the definition of closure in a metric space in order to further explain the proof.
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Homework Statement



Suppose [itex](X,d)[/itex] is a metric space, and suppose that [itex]A,B\subseteq X[/itex]. Show that [itex]dist(A,B)=dist(cl(A),cl(B))[/itex].

Homework Equations


[itex]cl(A)=\partial A\cup A[/itex].
[itex]dist(A,B)=\inf \{d(a,b):a\in A,b\in B\}[/itex]

The Attempt at a Solution


Its clear that [itex]dist(cl(A),cl(B))\leq \min\{dist(A,B),dist(A,\partial B),dist(\partial A,B),dist(\partial A,\partial B)\}\leq dist(A,B)[/itex]. I just can't exactly find a way to go the other direction of the inequality. I'm not looking for a direct solution, just some intuition.
 
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  • #2
Here's my attempt at a solution:

[itex]dist(A,B)\leq dist(A,x)+dist(x,B)\implies \inf _{x\in cl(A)}\{dist(A,B)\}\leq \inf _{x\in cl(A)}\{dist(A,x)+dist(x,B)\}=\inf _{x\in cl(A)}\{dist(x,B)\}[/itex]. And, [itex]dist(cl(A),B)\leq dist(cl(A),y)+dist(y,B)\implies \inf _{y\in cl(B)}\{dist(cl(A),B)\}\leq\inf _{y\in cl(B)}\{dist(cl(A),y)+dist(y,B)\}=\inf _{y\in cl(B)}\{dist(cl(A),y)\}=dist(cl(A),cl(B))[/itex]. Hence, [tex]dist(A,B)=\inf _{x\in cl(A)}\{\inf _{y\in cl(B)}\{dist(A,B)\}\}\leq dist(cl(A),cl(B)).[/tex]

Does this work?
 
  • #3
dist(cl(A),cl(B)) is clearly less than dist(A,B) just because A is contained in cl(A) and B is contained in cl(B). Do you agree with that? If so why? To go farther you need to deal with the definition of what cl(A) or boundary(A) in a metric space is. What is it?
 

FAQ: Distance between Sets and their Closures

What is the definition of "distance between sets"?

The distance between two sets A and B is defined as the minimum distance between any two points, one from set A and one from set B. This means that the distance between sets is the shortest distance that needs to be traveled to go from one set to the other.

How is the distance between sets calculated?

The distance between sets is calculated by finding the distance between every point in one set and every point in the other set, and then selecting the minimum distance from all these calculations.

What is the closure of a set?

The closure of a set is the smallest closed set that contains all the points in the original set. In other words, the closure is the set of all limit points of the original set.

How is the closure of a set related to the distance between sets?

The closure of a set can be thought of as the "envelope" of the set, containing all its points. The distance between sets is a measure of how far apart two sets are, and the closure of a set can help us determine this distance by giving us a better understanding of the set's boundaries.

Why is the concept of distance between sets important in mathematics and science?

The concept of distance between sets is important because it allows us to quantify the relationship between two sets. It helps us understand how similar or different two sets are, and can be used to compare and classify different sets. This concept is also used in many practical applications, such as data analysis and machine learning, where the distance between sets is used to measure the similarity between data points.

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