Uniform Continuity Proof for Functions on Closed Intervals

In summary, the proof given in the textbook states that any function continuous in a closed interval is automatically uniformly continuous in that interval.
  • #1
JG89
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From my textbook, this is the proof given for a theorem stating that any function continuous in a closed interval is automatically uniformly continuous in that interval.

Proof: "If f were not uniformly continuous in [a, b] there would exist a fixed [tex]\epsilon > 0[/tex] and points x, z in [a, b] arbitrarily close to each other for which [tex]|f(x) - f(z)| \ge \epsilon[/tex]. It would then be possible for every n to choose points [tex]x_n, z_n [/tex] in [a, b] for which [tex]|f(x_n) - f(z_n)| \ge \epsilon[/tex] and [tex]|x_n - z_n| < 1/n[/tex]. Since the [tex]x_n[/tex] form a bounded sequence of numbers we could find a subsequence converging to a point c of the interval (using the compactness of closed intervals). The corresponding values [tex]z_n[/tex] would then also converge to c: since f is continuous at c, we would find that [tex]c = lim f(x_n) = lim f(z_n) [/tex] for n tending to infinity in the subsequence, which is impossible if [tex]|f(x_n) - f(z_n)| \ge \epsilon[/tex] for all n."I understand everything except one thing: Why is c equal to the limit of [tex]f(x_n)[/tex]? If you cut out that part and just say that since [tex]x_n[/tex] and [tex]z_n[/tex] both converge to c, then [tex]lim f(x_n) = lim f(z_n)[/tex] and there we have our contradiction.
 
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  • #2
Shouldn't it be

[tex]
\lim_{n\to\infty} f(x_n) = f(c) = \lim_{n\to\infty} f(z_n)?
[/tex]

Looks like a mistake where c and f(c) are confused.
 
  • #3
That's EXACTLY what I was thinking. Glad to see I wasn't the only one thinking that :)
 
  • #4
given any open cover of a closed bounded interval, there is a positive number e such that every interval of diameter e is entirely contained in one of the open intervals. qed.
 
  • #5
Hopefully that interval is bounded too...otherwise things could get nasty.
 

1. What is "Proof of Uniform Continuity"?

"Proof of Uniform Continuity" is a mathematical concept used to prove that a function is continuous over its entire domain. It shows that no matter how close together two points are on the function's graph, the corresponding values of the function will also be close together.

2. How is "Proof of Uniform Continuity" different from "Proof of Continuity"?

"Proof of Uniform Continuity" is a stronger form of continuity than "Proof of Continuity." While "Proof of Continuity" only requires that the function is continuous at each individual point, "Proof of Uniform Continuity" requires that the function is continuous over the entire domain.

3. What is the importance of "Proof of Uniform Continuity"?

"Proof of Uniform Continuity" is important because it guarantees that a function will behave in a predictable and consistent manner over its entire domain. This is especially useful in applications where small changes in input can result in large changes in output, such as in physics and engineering.

4. How is "Proof of Uniform Continuity" typically proven?

"Proof of Uniform Continuity" is usually proven using the epsilon-delta definition. This involves showing that for any small interval of values, there exists a corresponding small interval of inputs for which the function's output values will also be contained within the original interval.

5. Can a function be uniformly continuous but not continuous?

No, a function cannot be uniformly continuous if it is not continuous. This is because uniform continuity is a stronger form of continuity that requires the function to be continuous over its entire domain. If a function is not continuous at even one point, it cannot be uniformly continuous.

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