Imagine you need the output of a function to within , and you ask how precisely you must know the input. For a continuous function the answer is always some positive tolerance, but it may change from place to place. Near the origin demands ever finer input precision, while a straight line asks for the same precision everywhere. Uniform continuity is the property of needing just one tolerance for the whole set.
Key terms
Pointwise versus uniform continuity
Definition Let be defined on a set . Then is continuous on (pointwise) if for every and every there is such that
Here may depend on both and . The function is uniformly continuous on if for every there is such that
Here depends only on . Every uniformly continuous function is continuous, but not the other way around.
In plain words The two definitions differ only in the order of the quantifiers. For pointwise continuity you first pick a point and then find . For uniform continuity you must find before anyone tells you the point.
Example Let on all of . For any two inputs
so works for every pair of points. For , inputs within of each other always give outputs within . So is uniformly continuous on .
One delta for all points
Definition To prove that is uniformly continuous on , start from an arbitrary and produce a single , written in terms of only, such that for all with . A common route is a bound valid on all of for one constant , which allows .
In plain words Find one tolerance that is small enough for the worst place in the set. If the function never gets steeper than some fixed slope, that slope tells you the tolerance.
Example Take on . For ,
So works everywhere on . For , inputs within give outputs within , whether you are near or near .
Continuous functions on closed bounded intervals
Definition If is continuous on a closed bounded interval , then is uniformly continuous on . The proof uses the completeness of the real numbers. Here is a sketch. If were not uniformly continuous, there would be some and, for each , points in with but . The numbers form a bounded sequence, and the Bolzano-Weierstrass theorem, which comes back with sequences later in the course, says that some subsequence converges to a number . This lies in because the interval is closed. The matching converge to the same . Continuity at then gives and , so , which contradicts .
In plain words On a closed bounded interval there is no place for the steepness to run off to, so plain continuity is already enough.
Example The function on has no bound of the form , since it gets arbitrarily steep near . It is still uniformly continuous, as the theorem says. In fact, for we have , which gives
so works. For , inputs within give outputs within everywhere on .
Examples on unbounded and open intervals
Definition On an interval that is unbounded or not closed, a continuous function may fail to be uniformly continuous. To show that is not uniformly continuous on , find one such that for every there are with and . On a bounded open interval , a continuous is uniformly continuous exactly when it has a continuous extension to , that is, when and both exist as finite numbers. If the limits exist, the extension is continuous on , so it is uniformly continuous there by the theorem above, and so is on the smaller set . In the other direction, uniform continuity keeps the values of at any two points close to close to each other, and by completeness this forces the limit at to exist, and likewise at .
In plain words Trouble comes from the function getting steeper and steeper, either far out on an unbounded interval or near a missing endpoint.
Example For on take . Given any , let and . Then but
So is not uniformly continuous on , even though it is on .
For on , again take . Given , choose with and set , . Then , but
The right limit at is infinite, so there is no continuous extension to , which matches the test for bounded open intervals. Being unbounded is not the problem by itself, since is uniformly continuous on all of by the same inequality as above.
Connection to integrability
Definition Let be continuous on . By uniform continuity, for every there is with the following property. If is cut into subintervals each of length less than , then on every subinterval the largest and smallest values of differ by less than . For such a cut, the upper sum, built from the largest value of on each subinterval, and the lower sum, built from the smallest, differ by less than , which can be made as small as we like. This is the key step in proving that every continuous function on is integrable, a fact used throughout the study of integrals.
In plain words One fine enough cut works for the whole interval at once, so rectangles can trap the area under the graph as tightly as you want.
Example For on and , the bound shows that cutting into pieces of length suffices. On each piece varies by at most . The upper and lower rectangle sums then differ by at most .
Check yourself
- Show that is uniformly continuous on by giving in terms of .
Show the answer
For any and the outputs differ by , so works for all and .
- Is uniformly continuous on ? On ?
Show the answer
On yes, since it is continuous on a closed bounded interval. On no. Take . It is enough to defeat each , since a pair closer than such a is also closer than any larger one. With and we get and, since ,
- Is uniformly continuous on ?
Show the answer
Yes. It equals there, which has finite limits and at the ends, so it extends continuously to . Directly, , so works.