Compactness of [0, 1] in a specific topology

In summary, the given topology on R consists of all sets A such that R\A is either countable or all of R. The question asks if [0, 1] is a compact subspace in this topology. After considering two cases, one where R\A is finite and one where it is countably infinite, it is determined that [0, 1] is not compact in this topology. This is demonstrated by providing a cover for [0, 1] that does not have a finite subcover. There is no subspace issue in this solution, as the given definition and lemma account for a subspace Y of a larger space X. Overall, the solution is clear and well-explained.
  • #1
radou
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Homework Statement



Let R have the topology consisting of all the sets A such that R\A is either countable or all of R. Is [0, 1] a compact subspace in this topology?

The Attempt at a Solution



If U covers R, if it consists of sets of type A such that R\A is finite, then [0, 1] is compact, since, if we take any set A from U, and if A doesn't cover [0, 1], then there's a finite number of points missing to cover [0, 1], let's say x1, ..., xn, and for each xi we can take a set Ai from U containing xi until we cover [0, 1], so we have a finite subcover (consisting of n+1 sets of U).

The interesting case is where R\A is countably infinite.

Let U be a cover for [0, 1] consisting of the following sets:

U1 = R\{1/n : n is a positive integer}
U2 = R\{1/(n+1) : n is a positive integer}
U3 = R\{1/(n+2) : n is a positive integer}, etc.

The family U covers [0, 1], right? But it doesn't have a finite subcover. Does this work?

Edit: by the way, Munkres says:

Definition. If Y is a subspace of X, a collection A of subsets of X is said to cover Y if the union of its elements contains Y.

Lemma 26.1. Let Y be a subspace of X, Then Y is compact if and only if every covering of Y by sets open in X contains a finite subcollection covering Y.

So I considered sets open in R, in the given topology. I hope there's no "subspace issue" I ignored here unwillingly.
 
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  • #2


Your solution looks correct to me. You have correctly identified that the interesting case is when R\A is countably infinite, and you have provided a cover for [0, 1] that does not have a finite subcover. This shows that [0, 1] is not compact in the given topology.

As for the subspace issue, I don't think there is one here. You have defined the topology on R, and [0, 1] is a subset of R, so [0, 1] is also a subspace of R. The definition and lemma you have provided are for a subspace Y of a larger space X, so there is no issue there.

Overall, your solution is well-written and clearly explains your reasoning. Good job!
 

Related to Compactness of [0, 1] in a specific topology

What is compactness?

Compactness is a topological property of a space that describes how well a set can be covered by open sets. In other words, it measures the extent to which a space can be "packed" or "squeezed" together.

What is the compactness of [0, 1] in a specific topology?

The compactness of [0, 1] in a specific topology refers to the ability of the interval [0, 1] to be covered by open sets in that particular topology. This compactness value can vary depending on the chosen topology.

How is compactness related to the topology of [0, 1]?

The compactness of [0, 1] is directly related to the topology in which it is being considered. Different topologies can result in different compactness values for [0, 1]. For example, in the standard topology, [0, 1] is compact, while in the discrete topology, [0, 1] is not compact.

Why is compactness of [0, 1] important in topology?

Compactness is an important concept in topology because it provides a way to distinguish between different types of spaces. It is often used to prove theorems and in the study of continuous functions. In addition, compact spaces have many useful properties that make them interesting objects of study.

How is compactness of [0, 1] used in real-life applications?

The concept of compactness has many real-life applications, especially in the fields of physics, engineering, and computer science. For example, in physics, compactness is used to describe the behavior of particles in a confined space. In computer science, it is used in data compression algorithms and in the design of efficient data structures.

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