Uniform Continuity of functions

Click For Summary
SUMMARY

This discussion centers on the uniform continuity of three specific functions: ##\tan x## on the interval ##[0,\frac{\pi}{2})##, ##\frac{1}{x}\sin^2 x## on ##(0,\pi]##, and ##\frac{1}{x-3}## on the intervals ##(0,3),(4,\infty),(3,\infty)##. Participants emphasize the importance of the epsilon-delta definition of uniform continuity, noting that a function is uniformly continuous if ##\delta## can be chosen independently of the point ##x_0##. The discussion highlights that ##\tan x## is not uniformly continuous as it approaches infinity near ##\frac{\pi}{2}##, while the other functions require further analysis to determine their uniform continuity.

PREREQUISITES
  • Understanding of epsilon-delta definitions of continuity and uniform continuity.
  • Familiarity with the behavior of trigonometric functions, particularly ##\tan x##.
  • Knowledge of limits and sequences in real analysis.
  • Ability to analyze functions for continuity properties in specified intervals.
NEXT STEPS
  • Study the epsilon-delta definition of uniform continuity in detail.
  • Examine the behavior of the function ##\tan x## near its discontinuities.
  • Explore the implications of uniform continuity on bounded sets as discussed in Exercise 19.4 of "Elementary Analysis" by Ross.
  • Investigate the uniform continuity of the function ##\frac{1}{x}\sin^2 x## on its defined interval.
USEFUL FOR

Mathematics students, particularly those studying real analysis, educators teaching continuity concepts, and anyone interested in the rigorous proofs of uniform continuity for various functions.

  • #31
mathwonk said:
1) a uniformly continuous function is bounded on a bounded domain.
2) a function whose derivative is bounded on an interval is also Lipschitz continuous on that interval, hence also uniformly continuous.

that does it for all parts. (note that a restriction of a uniformly continuous function from an infinite interval to a finite subinterval is still uniformly continuous.)
Those are great proofs. But then I took a look at the text book this problem was in and those facts are not available at that point in the text. The book does have a theorem using Cauchy sequences and a nice example proof using it.
 
Physics news on Phys.org
  • #32
those facts follow from the definitions and the mean value theorem. of course perhaps the MVT was not available, but it usually occurs a few pages after the definition of a derivative.

even without that criterion, the problems follow with a little work.
the derivative criterion is only used in problems 2 and 4. 2 already follows if one knows the given function has a finite limit at 0, plus the fact that a continuous function on a closed bound interval is uniformly so. 4 follows from the same fact plus the fact that the given function is bounded and decreasing, (by separating the infinite interval into a finite one, plus an infinite one on which delta(f) is everywhere less than epsilon).
but maybe they also do not know continuous functions are uniformly cont. on compact domains?
 
  • #33
mathwonk said:
those facts follow from the definitions and the mean value theorem. of course perhaps the MVT was not available, but it usually occurs a few pages after the definition of a derivative.
Good point. In that text, they haven't gotten to derivatives. The Cauchy sequence theorem and an associated example proof that a function is not uniformly continuous precedes the problem in the OP. That was the approach @Bling Fizikst was attempting to use in post #15. I tried to help him use that approach in post #19.
 
  • #34
FactChecker said:
Good point, but not when the domain is an open set. Several of the examples in the OP are on open sets with a singularity at an open end of the domain.
This statement has nothing to do with what I said. Cauchy sequences and converging series are the same thing for real numbers, and convergence compatibility of a function is equivalent to simple continuity. There is no such thing as a "Cauchyness".
 
  • #35
WWGD said:
It's standard definition for a metric space. At any rate, just use the map ##f(x)=1/x##, from ##(0,1)\rightarrow \mathbb R## and consider the Cauchy sequence ##\{1/n \} ## in ##(0,1)##. It's mapped into the non-Cauchy sequence ##\{1,2,3 ...\}##.
The map ##x\longmapsto 1/x## is not uniformly continuous on ##(0,1]##, as by the way, I already mentioned in my first reply in post #3. But that has nothing to do with Cauchy sequences.

Uniform continuity implies continuity which is equivalent to
$$
\displaystyle{\lim_{n \to \infty}f(x_n)=f(\lim_{n \to \infty}x_n)}
$$
that is equivalent to the use of Cauchy sequences instead of converging sequences over the reals. Your example just says that the first implication isn't reversible, as by the way, I already mentioned in my first reply in post #3. It is the non-existing limit at ##0## that matters.

The use of Cauchy sequences in this thread is simply off-topic. Yes, it makes things more convenient as you automatically have ##|x_n-x_m|<\delta## without bothering the limit ##x_0.## However, the triangle inequality solves this problem, as by the way, I already mentioned in my reply in post #25.
 
  • #36
The OP may wish to note that
  • a function which is continuous on a closed bounded interval is uniformly continuous, and
  • a function which is (uniformly) continuous on a closed, bounded interval is uniformly continuous on any subinterval.

If these facts are not known to you, then you should prove them.
 
  • #37
fresh_42 said:
The map ##x\longmapsto 1/x## is not uniformly continuous on ##(0,1]##, as by the way, I already mentioned in my first reply in post #3. But that has nothing to do with Cauchy sequences.

Uniform continuity implies continuity which is equivalent to
$$
\displaystyle{\lim_{n \to \infty}f(x_n)=f(\lim_{n \to \infty}x_n)}
$$
that is equivalent to the use of Cauchy sequences instead of converging sequences over the reals. Your example just says that the first implication isn't reversible, as by the way, I already mentioned in my first reply in post #3. It is the non-existing limit at ##0## that matters.

The use of Cauchy sequences in this thread is simply off-topic. Yes, it makes things more convenient as you automatically have ##|x_n-x_m|<\delta## without bothering the limit ##x_0.## However, the triangle inequality solves this problem, as by the way, I already mentioned in my reply in post #25.
It does have to see with Cauchy sequences as it's the weakest condition needed to take Cauchy sequences to.Cauchy sequences. If continuity alone is enough, why doesn't ##f(x)=1/x## take the Cauchy sequence ##\{1/n\}## to a Cauchy sequence, rather than taking it to ## \{ 1,2,...\}##? Issue here is that ##f## isn't even defined at ##x=0##
 
Last edited:
  • #38
fresh_42 said:
This statement has nothing to do with what I said. Cauchy sequences and converging series are the same thing for real numbers, and convergence compatibility of a function is equivalent to simple continuity. There is no such thing as a "Cauchyness".
IMO, if the domain is an open set, a Cauchy sequence is simpler to talk about than convergent sequences. The OP example of ##\tan(x)## on ##[0, \pi/2)## is such a case. Furthermore, the text book's theorem, examples, and the proof attempt in post #15 are all in terms of Cauchy sequences.
I believe that it is important for a person to learn to use the proven theorems and lemmas, as stated.
 
  • #39
FactChecker said:
2) I had to edit your Latex to read your post.
I edited the post you referred to, so the LaTeX is fixed now.
 
  • Like
Likes   Reactions: FactChecker
  • #40
I am sorry for my late response .
I think i have gained some experience over time on this topic.
For the second problem :
##f(x)=\frac{\sin^2 x}{x}##

Consider the extension of ##f##: $$g(x)= 0 , x=0$$ $$g(x)=\frac{\sin^2 x}{x} , x\in(0,\pi]$$
Since ##g(x)## is continuous on ##[0,\pi]## this implies ##g## is uniformly continuous on ##[0,\pi]## this implies ##f## is uniformly continuous on ##(0,\pi]##

For the third problem :
##f(x)=\frac{1}{x-3}##

in ##(0,3)##:

Consider ##x_n=3-\frac{1}{n}## and ##y_n=3-\frac{1}{n+1}## such that ##\lim |x_n-y_n|=0## but $$\lim |f(x_n)-f(y_n)|=|n-(n+1)|=1\neq 0$$
As we know that if there exists two sequences ##x_n## and ##y_n## in a given ##S## such that ##\lim |x_n-y_n|= 0## and ##\lim|f(x_n)-f(y_n)|\neq 0## then ##f## is NOT unifomrly continuous on ##S##
Hence , ##f## is NOT uniformly continuous here .

in ##(4,\infty)##:
this means ##\frac{1}{x-3}\in(0,1)##:
Choose ##\delta=\epsilon##
$$|\frac{1}{x-3}-\frac{1}{y-3}|=\frac{|x-y|}{|x-3||y-3|}<|x-y|<\epsilon$$
Hence , ##f## is uniformly continuous in ##(4,\infty)##

in ##(3,\infty)##:
Consider ##x_n=3+\frac{1}{n}## and ##y_n=3+\frac{1}{n+1}##
$$\lim |x_n-y_n|=0$$
$$\lim|f(x_n)-f(y_n)|=|n-(n+1)|=1\neq 0$$
Hence , ##f## is NOT uniformly continuous in ##(3,\infty)##
 
  • Like
Likes   Reactions: PeroK
  • #41
Bling Fizikst said:
I am sorry for my late response .
I think i have gained some experience over time on this topic.
For the second problem :
##f(x)=\frac{\sin^2 x}{x}##

Consider the extension of ##f##: $$g(x)= 0 , x=0$$ $$g(x)=\frac{\sin^2 x}{x} , x\in(0,\pi]$$
Since ##g(x)## is continuous on ##[0,\pi]## this implies ##g## is uniformly continuous on ##[0,\pi]## this implies ##f## is uniformly continuous on ##(0,\pi]##

For the third problem :
##f(x)=\frac{1}{x-3}##

in ##(0,3)##:

Consider ##x_n=3-\frac{1}{n}## and ##y_n=3-\frac{1}{n+1}## such that ##\lim |x_n-y_n|=0## but $$\lim |f(x_n)-f(y_n)|=|n-(n+1)|=1\neq 0$$
As we know that if there exists two sequences ##x_n## and ##y_n## in a given ##S## such that ##\lim |x_n-y_n|= 0## and ##\lim|f(x_n)-f(y_n)|\neq 0## then ##f## is NOT unifomrly continuous on ##S##
Hence , ##f## is NOT uniformly continuous here .

in ##(4,\infty)##:
this means ##\frac{1}{x-3}\in(0,1)##:
Choose ##\delta=\epsilon##
$$|\frac{1}{x-3}-\frac{1}{y-3}|=\frac{|x-y|}{|x-3||y-3|}<|x-y|<\epsilon$$
Hence , ##f## is uniformly continuous in ##(4,\infty)##

in ##(3,\infty)##:
Consider ##x_n=3+\frac{1}{n}## and ##y_n=3+\frac{1}{n+1}##
$$\lim |x_n-y_n|=0$$
$$\lim|f(x_n)-f(y_n)|=|n-(n+1)|=1\neq 0$$
Hence , ##f## is NOT uniformly continuous in ##(3,\infty)##
That all looks good to me.
 

Similar threads

  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K