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Prerequisites
Definition of continuity and basic facts about real numbers, sequences and limits.
General discussion
Any discussion of how to solve problems about continuity is complicated by the fact that there are two statements that can be taken as the basic definition of continuity, one in terms of epsilons and deltas, and one in terms of sequences. (For a discussion of what they are and how the equivalence is proved, see Example 2 of I have a problem to solve in real analysis and I do not believe that a fundamental idea is needed.) Sometimes, one approach is considerably slicker than the other, but often they are about equally simple and it is just a matter of taste which one prefers. We shall often just discuss one approach. There is a separate article on How to translate epsilon-delta proofs into sequence-based proofs and vice versa.
What is the problem?
Which of the following descriptions best fits your problem?
I have an explicitly defined function
and I want to show that
is continuous.
?
is a polynomial.
directly from the definition of continuity. But the calculations involved in doing this are a bit tedious and can be avoided in a number of ways. One way is a bit of a cheat: develop the theory of differentiability, prove that polynomials are differentiable, and deduce that they are continuous. A more direct approach is to prove the following four facts: (i) constant functions are continuous; (ii) the function
is continuous; (iii) if
and
are continuous then
is continuous; (iv) if
and
are continuous then
is continuous. Any polynomial can be built up from
and
by means of pointwise addition and multiplication, so an easy induction demonstrates that every polynomial is continuous.
is a rational function (that is, a function of the form
where
and
are polynomials).
is not continuous at any
where
But if
does not vanish in the range of
that you are interested in, then the best approach to rational functions is very similar to what you do for polynomials. So you should read that first, and then prove one further rule (or just use it if it has been proved for you): that if
and
are continuous functions and
does not vanish anywhere, then
is continuous.
is a well-known function such as
or
.
then you can argue that
so the continuity of
follows if you can show that
and
as
Similarly, the continuity of
follows from the rule
and the fact that
But in order to prove such basic facts about
and
you may well have defined these functions by means of power series and used general facts about the continuity and differentiability of power series. So a lot depends on what you are allowed to assume and how you have developed the theory.
is none of the above, but it is defined by a formula that involves well-known functions.
is not given by a straightforward formula, but rather it is defined as a limit or infinite sum of some functions
are continuous and
converges uniformly to
then
is continuous. If the functions
are defined on an unbounded set such as
then it may well be that this approach works even if they do not converge uniformly to
since often they converge locally uniformly. This means that every
is contained in an interval
such that
converges uniformly to
on
This is enough to prove that
is continuous at
and since
is arbitrary it proves that
is continuous. This technique gives a proof that the power series
converges to a continuous function, and similarly for the power series for
and
and a host of other functions.
I have an explicitly defined function
and I want to show that
is not continuous.
is not continuous. Now your problem is that of proving that
is not continuous at
for some given
Usually the quickest way of doing this is to use the sequence definition: that is, find a sequence
such that
but
For example, let
when
and
when
Then the slickest proof that
is not continuous is to note that when
then
Therefore, if we let
then
but
does not tend to 
I have a function
about which I have certain information, and I want to deduce that
is continuous.
is an open set whenever
is an open set and want to deduce that
is continuous, then the methods in that article are sufficient. As for proofs in the second category, they may well just be extremely simple observations such as that every differentiable function is continuous.
I have a function
about which I have certain information, and I want to deduce that
is not continuous.
argue directly, just as you could in the case of an explicitly defined function
, and use the information you have about
to construct a sequence
that converges to a limit
, with
not converging to
. If such an approach doesn't work, or seems to be getting your hands unnecessarily dirty, then you could try exploiting a theorem of the form, "Every continuous function has such-and-such a property." That is, you could look for a property that your function does not have but would have to have if it were continuous. For example, suppose you know that
is unbounded but that
as
Then there must be some
such that
whenever
Therefore,
is unbounded in the interval
But continuous functions are bounded on any closed interval, so
cannot be continuous.
I have a function
that I know is continuous and I want to prove something about
.
is continuous and
then
(2) A continuous function defined on a closed bounded interval
is bounded and attains its bounds. (3) If
is continuous on the interval
and
and
then there exists
such that
(If there are obvious omissions from this list, please add them.)
I want to find a continuous function
that has certain properties.
is required to have a property that appears to be hard to reconcile with continuity.
A first step would be to try out a few well-known continuous functions, but if the problem is an interesting one then this is almost guaranteed not to work. At that point, your main option is to build a continuous function in some way. An elementary way that sometimes works is to define your function separately on various intervals and make sure they match up at the endpoints. For example, piecewise linear functions are useful for some purposes. If that doesn't work, then a more advanced technique that is often used for this type is to build your function as a uniform limit of continuous functions with properties closer and closer to the property you are aiming for. See Constructing exotic sets and functions using limiting arguments for some examples of this technique. Sometimes this idea is combined with the previous one: for example, one might take a uniform limit of piecewise linear functions.
Tricki
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