Totally bounded but not bounded

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Therefore, in the given example of X={a,∞}, the distance between a and ∞ is not a finite number, making it not bounded but still totally bounded. In summary, the conversation discussed whether a metric space consisting of two points, X={a,∞}, can be totally bounded but not bounded. It was disproven using a proof that shows totally bounded implies bounded, assuming that the distance between every two points is finite. However, this assumption is already incorporated into the definition of a metric space, making the example of X={a,∞} not bounded but still totally bounded.
  • #1
johnqwertyful
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It seems strange, but would a metric space consisting of two points, X={a,∞} be totally bounded, but not bounded? because d(a,∞)=∞. But for all ε>0, X=B(ε,a)UB(ε,∞).

It's been proven that totally bounded→bounded, so this is wrong. Why?
 
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johnqwertyful said:
So if we assume that the distance between every two points is finite

This "assumption" is incorporated into the definition of metrics.
 
  • #4
the axioms for a metric space state that for any two points in the metric space, their distance is a real (and finite) number.
 
  • #5


While it may seem counterintuitive, a metric space consisting of two points, X={a,∞}, is indeed both totally bounded and bounded. This is because the definition of a totally bounded space is one in which every ε-ball contains a finite number of points, not necessarily a finite distance. In this case, the ε-ball around the point ∞ would contain only one point, while the ε-ball around the point a would contain both points a and ∞. Therefore, the space is totally bounded.

Additionally, the statement that "totally bounded→bounded" is incorrect. The correct statement is "bounded→totally bounded". This means that a bounded space is also totally bounded, but a totally bounded space may not necessarily be bounded. In other words, being bounded is a stronger condition than being totally bounded.

In summary, the metric space X={a,∞} is both totally bounded and bounded, despite the distance between the two points being infinite. This is because the definition of totally bounded only concerns the number of points within an ε-ball, not the distance between them.
 

What does it mean for a set to be totally bounded but not bounded?

A set is totally bounded if, for every positive real number, there exists a finite number of points from the set that are within that distance from each other. In contrast, a set is bounded if there exists a finite number that bounds the distance between all points in the set. Therefore, a set can be totally bounded without being bounded if there is no single finite bound for all points in the set.

Can a totally bounded set be unbounded?

No, a totally bounded set cannot be unbounded. This is because a totally bounded set by definition has a finite bound for all points within a certain distance from each other. If the set were unbounded, there would be no limit to the distance between points and thus it would not be totally bounded.

What is an example of a set that is totally bounded but not bounded?

An example of a set that is totally bounded but not bounded is the set of rational numbers between 0 and 1. This set is totally bounded because for any positive real number, there exists a finite number of rational numbers within that distance from each other. However, it is not bounded because there is no single finite number that bounds the distance between all rational numbers in this set.

How does the concept of total boundedness relate to compactness?

Total boundedness is a necessary condition for compactness. A set is compact if and only if it is both closed and totally bounded. Therefore, a set that is totally bounded but not bounded is not compact.

What is the significance of a set being totally bounded but not bounded in mathematics and science?

The concept of total boundedness is important in many branches of mathematics and science, including analysis, topology, and dynamical systems. It allows us to study the properties of sets and their elements in a more precise and rigorous manner. Additionally, it has applications in fields such as physics and engineering, where the concept of boundedness is often used to describe physical systems and phenomena.

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