Limits and Continuous Functions
Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au
Last updates: 25 January 2014
Filters and limits
Let be a set.
- A filter on
is a collection
of subsets of such that
- (a) (upper ideal)
if
and
then ,
- (b) (closed under finite intersections)
if
then
, and
- (c)
.
- An ultrafilter on is a maximal
filter on (with respect
to inclusion).
Let be a topological space.
Let .
-
A neighbourhood of is a subset
such that there exists an open set
with
.
- The neighbourhood filter of is
.
| |
Let be a topological space and
let be a filter on .
-
A limit point of
is a point
such that
-
A cluster point of is a point
such that
where
is the closure of .
The issue of which properites of a space guarantee that
limit points are unique (when they exist) is treated in Section ??: Hausdorff
spaces, and the the issue of which properties of a space guarantee
that cluster points exist is treated in Section ??: Compact spaces.
HW: Let be a topological space and
let and be filters on
such that .
- (a) Show that if is a limit point of
then is a limit
point of .
- (b) Show that if is a cluster point of
then is a cluster
point of .
HW: Let be a topological space and
let be a filter on .
Let .
Show that is a cluster point of
if and only if there exists a filter on
such that
and
.
HW: Let be a topological space and
let be a filter on .
Let .
Show that is a cluster point of
if and only if there exists a filter
such that
is a limit point of .
HW: Let be a topological space and
let be a filter on .
Let .
Show that if is a limit point of
then is a cluster point of .
HW: Let be a topological space and
let be an ultrafilter on .
Let .
Show that is a limit point of
if and only if
is a cluster point of .
Let be a set with a filter
and let be a topological space.
Let
be a function.
- A limit point of
is a limit point of the coarsest filter containing
.
- A cluster point of
is a cluster point of the coarsest filter containing
.
Write
,
if is a limit point of .
| |
Sequences
Let be a topological space.
- A sequence
in is a function
- The filter associated to
is the filter
-
A limit of the sequence
is a limit point of the sequence with respect to
.
-
A cluster point of the sequence
is a cluster point of the sequence with respect to
.
- The Fréchet filter on
is
.
-
A limit of the sequence
is a limit point of the sequence with respect to the Fréchet filter on
.
-
A cluster point of the sequence
is a cluster point with respect to the Fréchet filter on
.
Write
,
if is a limit point of the sequence
.
| |
Let be a topological space and let
be a sequence in . Let .
-
is a limit point of
if and only if
-
if is a neighbourhood of
then there exists
such that if
and then
.
-
is a cluster point of
if and only if
-
if
is a neighbourhood of
and
then there exists such that
and
.
|
|
Proof.
|
|
-
⇒) Assume is a limit point of
So
where
and is the Fréchet filter on
So
So
To show: If is a neighbourhood of then there exists such that if and then
Assume is a neighbourhood of
So
So there exists a finite set such that
Let
To show: If and then
Assume and
Then
So
Since
⇐) Assume that if is a neighbourhood of then there exists such that if and then
To show:
To show:
To show: If then there exists a finite subset such that
Assume
To show: There exists a finite subset such that
Let such that if and then
Let so that is a finite subset of
Then
-
⇒) Assume is a cluster point of
To show: If is a neighbourhood of and then there exists such that and
We know: If
then
Assume is a neighbourhood of and
To show: There exists such that and
To show: There exists such that
To show:
We know:
So
⇐) Assume that if is a neighbourhood of and then there exists such that and
To show: If
then
Assume
So for a finite set
Let
Then
To show:
To show: If is a neighbourhood of then
Assume is a neighbourhood of
Since
and
then
|
Example: The sequence
has no limit point, but has cluster points at 1 and 0.
Limits and continuity
Let and be topological
spaces and let
be a function. Let .
A limit of as
approaches
is a limit point of with respect to the neighbourhood filter
.
Write
,
if is a limit of
as approaches .
| |
The function
is continuous at
if it satisfies
-
if
is a neighbourhood of
in then
is a neighbourhood of in .
Let and be topological spaces and let
.
A function
is continuous at if and only if
|
|
Proof.
|
|
⇒) Assume is continuous at
To show:
To show:
To show: If then there exists such that
Assume
To show: There exists such that
Let Since is continuous at
To show:
Since
So
⇐) Assume
So
To show: If then
Assume
To show:
Since
we know:
There exists such that
So
So
|
Generating filters
Let be a set and let
and be filters on .
The filter
is finer than
if .
If is a collection of subsets of
that satisfies
-
(a)
if
then there exists such
that , and
-
(b)
and
,
then
| |
is the coarsest filter containing .
Let be a set and let
be a collection of subsets of
.
If
and
| |
then
satisfies (a) and (b) and
is the coarsest filter on
containing
.
Metric spaces
Let and be metric spaces and
let
be a function.
Let
and . Then
if
then there exists such that
Let be a metric space with the metric space uniformity.
Let be a sequence in and let
be the filter associated to
.
Then
Notes and References
Historically, the mathematical community became infatuated by limits,
partly because of the many applications of "calculus" and the ideas of
infinitesimals, but also partly because they weren't very well understood.
This infatuation has often focused on the epsilon-delta definition of limits,
which has advantages and disadvantages.
The thorough and easy definition of limits given in this exposition,
not depending on a metric space,
follows [Bou, Top., Ch.I, §6-7].
In particular, the definition of filter, neighbourhood filter, and
Fréchet filter, are in
[Bou, Top., Ch.I, §6 No 1]
and the definition of limit point and cluster point of a filter are
[Bou, Top., Ch.I, §7 Def. 1,2]
and the definition of limit point and cluster point of a function are
[Bou, Top., Ch.I, §7 Def 3].
Theorem 2.1 is [Bou, Top., Ch.I, §7 Prop 9] and Theorem 3.1 is Example 1 in [Bou, Top., Ch.I, §7 No 3]. The discussion in §4 Generating filters is based on [Bou, Top., Ch.I, §6 No. 2-3].
The second and third conditions in the definition of a filter say that
finite intersections of elements of a filter cannot be empty. This is the
rigidity condition that plays an important role in arguments about limit
points and compactness.
A point is a cluster point of
if
is a close point for all the sets
.
The partial order on filters by inclusion is fundamental.
A point is a cluster point if the supremum
of and the neighborhood filter of
exists.
If filters are analogous to sequences then inclusion of filters is
analogous to subsequences. In particular, the existence of an ultrafilter
with a limit point is analogous to a subsequence with a limit point.
References
[Bou]
N. Bourbaki,
General Topology, Springer-Verlag, 1989.
MR1726779.
[BR]
W. Rudin, Principles of mathematical analysis, Third edition,
International Series in Pure and Applied Mathematics, McGraw-Hill 1976.
MR0385023.
[Ru]
W. Rudin,
Real and complex analysis, Third edition, McGraw-Hill, 1987.
MR0924157.
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