22 Limits and Continuity
We covered much about limits and continuity in calculus but we need to apply it to analysis. Lets first give the formal definition for functional limits under analysis.
Definition. Functional Limits
Let , and let
be a limit point of the domain
. The limit,
if, for all
, there exists a
such that whenever
for
it follows that
.
We have already been familiarized with and we can say that
carries the same meaning for neighborhood but we utilize both because the open neighborhood for
will not always be the same as the open neighborhood for
. Lets look at an example of how we can use the value for
to determine the largest value for
which will thus return the largest open neighborhood that can possibly satisfy the limit.
Example:
, where
. Find the largest
which satisfies the limit [3].
Proof: Let . Since
then
. We first need to simplify this inequality. Firstly we can rewrite
as follows:
Thus, and if we divide both sides by
we get
. Now, let
then
such that
is the same as
which simplifies to
and since
then
. Thus for
with
, we find the largest
.
There is a really valuable visual explanation, given below, of the epsilon and delta neighborhoods and what we are focusing on within a function when we analyze these limits.
We can see form this illustration, how and
neighborhoods associate with functions and point
. Using neighborhoods to prove limits is like narrowing down the range and domain for which a limit point may be. Given a better understanding of the relationship between neighborhoods let us look at one more example where we have to determine an appropriate
and
.
Example:
Given , prove the limit.
Proof: Let , Let
then to find
such that
we need
. We first simplify
Here we can see that can be easily bounded by
as
but
will not be. If
then
and if we remove
from
by way of adding
we get
so
if
. Let us considered that
then, since
we have
. Thus
and if we divide both sides by
we find
. Now let
, if
then
which we simplify to
. Thus we conclude that
.
Now we can expand on what we have already proven by introducing the definition of continuity as it pertains to analysis.
Definition. Continuity
A function is continuous at a point
if, for all
, there exists a
such that whenever
for
it follows that
[3].
This definition is very similar to our definition for functional limits with one major difference. Instead of finding neighborhoods that satisfy the limit of the function we are now looking at finding the neighborhood that satisfies the point for
.
Example:
Prove that is continuous on
[3].
Proof: Let then there is
for all
.
Part 1) If then
. We rewrite
by the following:
Thus .
can easily be bounded by
as
because
where
. If
then
so
if
. Let
then since
and
we can divide both sides by
to find
. Now let
, if
then
which simplifies to
.
Part 2) If then
can be simplified by
Where .
can easily be bounded by
. If
then
can easily become
by adding
and then, by removing
from the center and adding it to either side we find
so
if
. Now
and
then we can simplify this inequality by dividing both sides by
to get
. Let
, if
then
which simplifies to
.
Thus we can conclude that is continuous on
Building on our understanding of continuity we introduce the following theorem [3].
Theorem: The Intermediate Value Theorem
Let be continuous. If
is a real number satisfying
of
, then there exists a point
where
.
Example:
Let be continuous with
. Show that there must exist
satisfying
and
[3].
Proof: Let and let
be a continuous function
such that
which leads us to conclude
such that
and since
then
such that
. We can observe from these inequalities that at some point on the interval
because the value of
changes from greater than 0 to less than 0. Consider a point
such that
then
. Thus there exists an
such that
and
.
Expanding even further on continuity we look, now, to uniform continuity which is a stricter class of continuity.
19.1 Uniform Continuity
Previously mentioned uniform continuity is a stricter class of continuity. What this means is that instead of proving continuity by points, uniform continuity simply utilizes the -neighborhood to prove continuity.
Definition. Uniform Continuity
The function is uniformly continuous on interval
if for every
, there exists a
such that for
for
it follows that
[3].
It goes without need for explanation that if is uniformly continuous then
is continuous on the given interval.
Example:
Prove that is uniformly continuous on
.
Proof:Let then by the definition of uniform continuity
Now we let such that
then we can conclude that
if and
. Let
such that
Let then, by dividing both sides by 2, we get
such that
Can be rewritten as
Which is equivalent to
Thus if the
. Thus we con conclude that
is uniformly continuous on
.