Compactness

Compactness is a property in metric spaces. Before discussing the compactness of metric spaces, we must know what a cover, subcover, and finite is. The definition of compactness is based on these concepts.

Cover of a metric space (X, d) means, for collection C = {G𝛼 | 𝛼 ∈ I; I is an index set} of subsets of X such that ⋃𝛼 ∈ I G𝛼 = X, the C is called the cover of X.

If C’ is a sub-collection of C, such that C itself covers X then C’ is said to be a subcover of C. If C’ is a collection of finite elements then it is called finite subcover.

The collection C = {G𝛼 | 𝛼 ∈ I; I is an index set} is such that every G𝛼 is an open set, then C is called open cover of X.

Definition of Compactness

The compactness of a metric space is defined as, let (X, d) be a metric space such that every open cover of X has a finite subcover.

A non-empty set Y of X is said to be compact if it is compact as a metric space.

For example, a finite set in any metric space (X, d) is compact. In particular, a finite subset of a discrete metric (X,d) is compact.

Sequentially Compact: A metric space (X, d) is said to be sequentially compact if every sequence in X has a subsequence that converges in X.

With the concept of compactness and sequential compactness, there is a significant result.

Every sequentially compact metric space is compact.

Properties of Compactness

Let (X, d) be a metric space with metric d such that (X, d) is a compact metric space, then

  • If Y is a closed subset of X, Y is also compact.
  • The union of two compact subsets of a metric space is compact.
  • Every compact metric space has the Bolzano-Weierstrass Property (BWP). A metric space is said to have Bolzano-Weierstrass Property if every infinite subset of X has a limit point. That is, every sequence within that infinite subsets converges to a point in it.
  • A compact subset of a metric space is closed and bounded.

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Solved Examples on Compactness

Example 1:

Prove that the usual metric space (R, d) is not compact.

Solution:

We have to prove that the usual metric space (R, d) is not compact, where R is the set of real numbers.

Consider C = {(-n, n) | n ∈ N}. Then C is an open cover of R as

(i) each element in C is an open set.

(ii) if x ∈ R, then there exist n such that x ∈ (-n, n), so

{x} ⊆ (-n, n), n ∈ N

⇒ ∪ {x} ⊆ ∪ (-n, n)

⇒ R ⊆ ∪ (-n, n)

Again, (-n, n) ⊆ R, ∀ n ∈ N so ∪ (-n, n) ⊆ R

Hence R = ∪ (-n, n)

Now to prove (R, d) is not we shall show that there does not exist any finite subcover of R.

Let {(-ni, ni) | 1 ≤ i ≤ p} be a finite sub-collection of C and let n’ = max {n1, n2, …, np}

Then n’ ∈ N ⊆ R be such that

n’ ∉ ⋃ (-ni, ni)

Thus, there is no finite subcollection of C which covers R.

Hence, R is not compact.

Example 2:

Check whether the usual metric space (X, d) where X = {1, 2, 3, …, N} is compact.

Solution:

Given metric space (X, d) where X = {1, 2, 3, …, N} then X is finite.

A finite set is compact.

Thus, (X, d) is a compact space.

Frequently Asked Questions on Compactness

Q1

What is compactness?

The compactness of a metric space is defined as, let (X, d) be a metric space such that every open cover of X has a finite subcover.

Q2

Are compact sets closed in metric space?

For a metric space, any compact subset of it is closed and compact.

Q3

Is every sequentially compact space compact?

Yes, every sequentially compact space is compact.

Q4

Is compact space bounded?

Every compact metric space is bounded and closed.

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