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Unit 28: Compactness in Metric Spaces
28.1.1 Sequentially Compact Notes
A metric space (X, d) is said to be sequentially compact if every sequence in X has a convergent
sub-sequence.
Example 1: The set of all real numbers in (0, 1) is not sequentially compact.
1 1 1
For the sequence , , ,... in (0, 1) converges to 0 (0, 1), on the other hand [0, 1] is sequentially
2 3 4
compact.
28.1.2 Lebesgue Number
Let {G : i } be an open cover for a metric space (X, d). A real number > 0 is called a Lebesgue
i
number for the cover if any A X s.t. d(A) < A G for at least one index i .
0 i 0
Lebesgue Covering Lemma
Every open covering of a sequentially compact space has a lebesgue number.
28.1.3 Totally Bounded Set
Let (X, d) be a metric space. Let > 0 be any given real number. A set A X is called an - net
if
(i) A is finite set
(ii) X = U{S : a A}
(a)
The metric space (X, d) is said to be topology bounded if it contains an – net for every > 0.
Here (ii) given any point p X, at least one point a A s.t. d(p, a) < .
28.1.4 Compactness in Metric Spaces
If (X, d) be a metric space and A X, then the statement that A is compact, A is countably compact
and A is sequentially compact are equivalent.
28.2 Theorems and Solved Examples
Theorem 1: A metric space is sequentially compact iff it has the Bolzano Weierstrass Property.
Proof: Let X be a metric space.
Let us suppose that it is sequentially compact.
Let A be an infinite subset of X.
Since A is infinite so let x be any sequence of distinct points of A. Since X is sequentially
n
compact, so there exists a convergent subsequence x of x . Let x be its limit and B be its
n k n
range.
Since x is a sequence of distinct points, B is infinite.
n
We know that if the range of a convergent sequence is infinite then its limit point is the limit
point of the range.
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