Bounded continous implies uniformly continuous

In summary, we are trying to show that a continuous function f : [a, b] -> R implies that f is uniformly continuous. We can do this by showing that for all e > 0, there exists a d > 0 such that for all x and y in [a, b], |x - y| < d implies |f(x) - f(y)| < e. This can be achieved by constructing A(d) = { u in [a, b] : x, y in [a, u], |x - y| < d implies |f(x) - f(y)| < e } and taking the sup of this set, which is equivalent to the maximum on a compact set. This implies that
  • #1
alanlu
65
0
I'm trying to show that continuous f : [a, b] -> R implies f uniformly continuous.

f continuous if for all e > 0, x in [a, b], there exists d > 0 such that for all y in [a, b], ¦x - y¦ < d implies ¦f(x) - f(y)¦ < e.

f uniformly continuous if for all e > 0, there exists d > 0 such that for all x and y in [a, b], ¦x - y¦ < d implies ¦f(x) - f(y)¦ < e.

I constructed
A(d) = { u in [a, b] : x, y in [a, u], ¦x - y¦ < d implies ¦f(x) - f(y)¦ < e }
A = Ud > 0 A(d)

And I think I need to show sup A = b and b is in A, but I'm stuck.
 
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  • #2
So you know a characterization of uniform continuity using sequences??
That is: f is uniform continuous iff for all equivalent sequences [itex](x_n)_n[/itex] and [itex](y_n)_n[/itex] holds that [itex](f(x_n))_n[/itex] and [itex](f(y_n))_n[/itex] are also equivalent.
 
  • #3
Was not aware of this characterization until now. My text does not mention this, so there must be another way.
 
  • #4
alanlu said:
Was not aware of this characterization until now. My text does not mention this, so there must be another way.

Isn't this by definition. f is continuous on a compact set so that it is uniformly continuous.
 
  • #5
Isn't it true that on a compact set (which [a,b] is), the sup is equivalent to the maximum (and similarly, the inf is the same as a minimum)?
 
  • #6
Ansatz7 said:
Isn't it true that on a compact set (which [a,b] is), the sup is equivalent to the maximum (and similarly, the inf is the same as a minimum)?

This is true for a continuous function f defined on a compact set K:

[tex]\sup_{x \in K} f(x) = \max_{x \in K} f(x)[/tex]
and
[tex]\inf_{x \in K} f(x) = \min_{x \in K} f(x)[/tex]

How do you propose to use this fact?
 
  • #7
P.S. It would help to know what definition of "compact" you are using. There are several definitions that are equivalent on the real line.

Does your definition involve open covers and finite subcovers, or convergent subsequences, or "closed and bounded", or what?
 
  • #8
jbunniii said:
This is true for a continuous function f defined on a compact set K:

[tex]\sup_{x \in K} f(x) = \max_{x \in K} f(x)[/tex]
and
[tex]\inf_{x \in K} f(x) = \min_{x \in K} f(x)[/tex]

How do you propose to use this fact?

Choose ε > 0 and for each x[itex]\in[/itex][a, b], choose δ(x) such that |x - y| < δ => |f(x) - f(y)| < ε (obviously this choice of δ(x) isn't unique, but just pick one for each x). Let δ0 = inf δ(x) (I had incorrectly written sup instead of inf before) on the interval. Then for any x on the interval |x - y| < δ0 implies...?

(Disclaimer: I don't really know much math, so people who actually know this stuff should correct me if I'm speaking nonsense!)
 
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  • #9
Ansatz7 said:
Choose ε > 0 and for each x[itex]\in[/itex][a, b], choose δ(x) such that |x - y| < δ => |f(x) - f(y)| < ε (obviously this choice of δ(x) isn't unique, but just pick one for each x). Let δ0 = sup δ(x) on the interval. Then for any x on the interval |x - y| < δ0 implies...?
I don't see that it implies much of anything. What am I missing?
 
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  • #10
jbunniii said:
I don't see that it implies much of anything. What am I missing?

Well, ansatz7 did have a disclaimer at the end that it might be garbage, which it is. But I'm also not sure why you need the max and min. Pick a finite subcover (assuming finite subcover is the intended definition of compact) of the delta neighborhoods and pick the min of those deltas. So if |x-y|<delta then shouldn't x and y be in the same delta neighborhood or at worst in overlapping delta neighborhoods? Isn't that the vague picture hint?
 
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  • #11
jbunniii said:
I don't see that it implies much of anything. What am I missing?

What can you then say about |f(x) - f(y)| for any x and y that satisfy |x - y| < δ0? I never did analysis formally, but I think this is valid.

EDIT: Sorry, I very stupidly wrote sup when I meant inf in my post above, so obviously it made no sense - way too tired to be useful. I'll go back and edit now.
 
  • #12
Dick said:
Well, ansatz7 did have disclaimer at the end. But I'm also not sure why you need the max and min. Pick a finite subcover of the delta neighborhoods and pick the min of those deltas. So if |x-y|<delta then shouldn't x and y be in the same delta neighborhood or at worst in overlapping delta neighborhoods? Isn't that the vague picture hint?

Pretty much. Some of the deltas in the argument will have to be delta/2 to make it work.

Also, I confused Ansatz7 with the original poster (alanlu), who made no mention of compactness of [a,b] and perhaps doesn't have the appropriate machinery (Heine-Borel) available. That may have been what he was getting at with this Spivak-style construction:

A(d) = { u in [a, b] : x, y in [a, u], ¦x - y¦ < d implies ¦f(x) - f(y)¦ < e }
 
  • #13
Ansatz7 said:
What can you then say about |f(x) - f(y)| for any x and y that satisfy |x - y| < δ0? I never did analysis formally, but I think this is valid.

EDIT: Sorry, I very stupidly wrote sup when I meant inf in my post above, so obviously it made no sense - way too tired to be useful. I'll go back and edit now.

Right, inf would make more sense. However, the inf of infinitely many delta(x) could be zero. This is where the compactness is necessary: to reduce the infinite cover to a finite cover, so "inf" becomes "min" and is strictly positive.
 
  • #14
Right, I know that this only works because [a, b] is compact, as I stated in my first post in the thread. I believe it was you who asked how I would use this fact, which is where everything else came from.

Ansatz7 said:
Isn't it true that on a compact set (which [a,b] is), the sup is equivalent to the maximum (and similarly, the inf is the same as a minimum)?
 
  • #15
Ah thanks! Actually, I did arrive at inf { d(x) }, but I wasn't sure how to turn that into something that is guaranteed to be > 0.
 

1. What is the difference between bounded continuous and uniformly continuous?

Bounded continuous functions have finite or limited values within a given domain, while uniformly continuous functions have a consistent rate of change throughout the entire domain.

2. How do you prove that a function is uniformly continuous?

To prove that a function is uniformly continuous, you must show that for any given epsilon (ε) value, there exists a corresponding delta (δ) value such that the distance between any two points in the domain is less than δ, then the difference between their corresponding function values is less than ε.

3. Can a function be bounded continuous but not uniformly continuous?

Yes, a function can be bounded continuous but not uniformly continuous. This can occur when the function has a limited range of values within a given domain, but the rate of change varies significantly throughout the domain.

4. Why is it important for a function to be uniformly continuous?

Uniform continuity ensures that the function is well-behaved and does not have any sudden or abrupt changes in its rate of change. This allows for more accurate and consistent predictions or calculations using the function.

5. Are all continuous functions also uniformly continuous?

No, not all continuous functions are also uniformly continuous. A continuous function may have a limited range of values within a given domain, but the rate of change may vary significantly, making it not uniformly continuous.

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