Lecture 13
Review
Consider the metric space (with the usual metric ). Let .
-
Find several examples of sets such that and is closed in .
Example:- , is closed in .
We can prove this using normal ways, or Theorem 2.23 is closed in is open in
and it's open.
Theorem 2.30 , is open in open in such that
And we know is open in . By Theorem 2.23 is closed in .
- , is closed in .
-
If is as in part 1, we can conclude that is closed and bounded in . Part of Theorem 2.41 says: "If a set is closed and bounded, then it is compact." Why doesn't that theorem apply here.
The set is not closed in .
New stuffs
Connected sets
Definition 2.45
, we say and are separated in if and
- disconnected in if nonempty separated such that
- is connected in if it is not disconnected.
Example 2.46
are separated [so is disconnected]
are not separated [so ] So this doesn't tell us where is connected or not.
Theorem 2.47
Suppose
is connected with such that .
By negating, this is equivalent to
is disconnected with such that .
Proof:
Suppose with such that .
Let
Lemma:
Since
Since , similarly, . So are separated. Also they are non empty () and . So is disconnected.
Suppose nonempty separated such that .
Our goal is to find such that .
Without loss of generality, assume .
Let , (by Theorem 2.28) This implies and
Since are separated, ().
Since ,
Consider 2 cases,
Case 1. .
let , and satisfy the desired properties
Case 2.
Since are separated, ().
Thus, such that .
Let , then satisfy the desired properties.
EOP
Chapter 3: Numerical Sequences and Series
Numerical Sequences
Notations
Rudin use to denote a sequence .
To avoid confusion with sets, we use or
Definition 3.1
Let be a metric space. Let be a sequence in .
Let . We say converges to if such that , . ()
Notation ,
We say converges if such that .
i.e. such that such that
We say diverges if doesn't converge.
i.e. ,
i.e. such that such that
Definition 3.2
We say a sequence is bounded if , such that
Example:
,
Then i.e. such that , .
Proof:
Let (arbitrary)
Let be greater than (by Archimedean property) e.g. (we choose )
Let (arbitrary)
Then
EOP