Prove [itex]f(x)=\sqrt{x^{2}+1}[/itex] is uniformly continuous on the real line.

In summary, the proof of uniform continuity for f(x) on the real line relies on the Mean Value Theorem and the Lipschitz condition.
  • #1
nasshi
18
0

Homework Statement



Prove [itex]f(x)=\sqrt{x^{2}+1}[/itex] is uniformly continuous on the real line.

Homework Equations



Lipschitz Condition: If there is a constant [itex]M[/itex] such that [itex]|f(p) - f(q)| \leq M |p-q|[/itex] for all [itex]p,q \in D[/itex], then [itex]f[/itex] obeys the Lipschitz condition.

Mean Value Theorem: Let [itex]f[/itex] be continuous on [itex][a,b][/itex] and let [itex]f'(x)[/itex] exist for all [itex]x \in (a,b)[/itex]. Then at least one point [itex]x_{o}[/itex] exists in [itex](a,b)[/itex] such that [itex]f(b) - f(a) = f'(x_{o})(b-a)[/itex].

[itex]f'(x) = \frac{x}{\sqrt{x^{2} + 1}}[/itex] is bounded below by [itex]-1[/itex] and bounded above by [itex]1[/itex].

The Attempt at a Solution



Proof:
[itex]f(x)=\sqrt{x^{2}+1}[/itex] is continuous on [itex][-N,N][/itex] and differentiable on [itex](-N,N)[/itex] for all [itex]N[/itex]. By the Mean Value Theorem, there exists an [itex]x_{o} \in (-N,N)[/itex] such that [itex]|f(x)-f(y)| \leq |f'(x_{o})||x-y|[/itex] for all [itex]x,y \in (-N,N)[/itex].

Since the derivative [itex]f'(x_{o})[/itex] is bounded above by [itex]1[/itex] and below by [itex]-1[/itex] as [itex]x[/itex] tends to infinity, [itex]f'(x)[/itex] obeys [itex]0 < |f'(x)| < 1[/itex] for all [itex]x \in (-N,N)[/itex]. Thus [itex]0 < |f(x)-f(y)| \leq 1 \cdot |x-y|[/itex] for all [itex]x,y \in (-N,N)[/itex].

Since these results hold for a general [itex]N[/itex], we may choose a larger [itex]N[/itex] and the results will still hold for the larger [itex]N[/itex], implying the results will hold for the real line as a whole. Letting [itex]\delta < \epsilon[/itex] thus shows that [itex]f(x)[/itex] is uniformly continuous on the real line.

QED
 
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  • #2
You've got the point, that |f'(x)| is bounded by one. So the function is Lipschitz which implies absolutely continuous. If you really want an epsilon-delta proof, go back the the definition of absolutely continuous and use the MVT from there. Working on the interval [-N,N] is not what you want for that.
 
  • #3
Your general idea is fine, but it could be written much more briefly and clearly.

Lemma: ##|f'(x)| \le 1##
Proof: ##|f'(x)| = \left|\frac x {\sqrt{x^2+1}}\right| < 1## is obvious.

Proof of uniform continuity. Given ##\epsilon > 0##, let ##\delta =\epsilon##. If ##|x-y|< \delta## then by the MVT there is a ##c## between ##x## and ##y## such that ##|f(x) - f(y)| = |f'(c)(x-y)|=|f'(c)||x-y| < 1\cdot \delta = \epsilon##.

[Edit] Dang. Dick and I tied to the minute posting answers. That takes a lot of practice. :smile:
 
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  • #4
I was trying to think of a way to express the point without using TeX. You plowed right in and did it. I'll concede priority to you. That takes time.
 
  • #5
So there's no hangup working on the whole real line from the start due to the derivative being bounded? I was unsure about using the MVT in a more general setting.
 
  • #6
nasshi said:
So there's no hangup working on the whole real line from the start due to the derivative being bounded? I was unsure about using the MVT in a more general setting.


Why would there be a problem? Like all others correctly pointed out, your Lipschitz

constant is 1 They did all the real work, and I am just bringing up the obvious fact that

follows from their work:

So, if you want, say, |F(p)-F(q)|<ε , what value of δ in |p-q|<δ

guarantees that, given that |F(p)-F(q)|<1.|p-q| ?
 
  • #7
Thank you everyone for the clarification!
 

1. What is the definition of uniform continuity?

Uniform continuity is a type of continuity in which the distance between the input and output values can be controlled by a single constant value, regardless of the specific points chosen. In other words, for a function to be uniformly continuous, the change in output value must not vary significantly even if the input value is changed by a small amount.

2. How is uniform continuity different from ordinary continuity?

In ordinary continuity, the change in output value can vary significantly if the input value is changed by a small amount. This means that for ordinary continuity, the distance between input and output values must be controlled by a different constant value for each specific point chosen. In contrast, uniform continuity requires that the distance between input and output values be controlled by a single constant value for all points.

3. How can I prove a function is uniformly continuous?

To prove that a function is uniformly continuous, you can use the epsilon-delta definition of uniform continuity. This involves showing that for any given epsilon (a small positive number), there exists a delta (another small positive number) such that the distance between the output values of any two input values within delta is less than epsilon.

4. Why is it important for f(x) = √(x^2 + 1) to be uniformly continuous on the real line?

It is important for f(x) = √(x^2 + 1) to be uniformly continuous on the real line because it is a fundamental property of continuous functions. Uniform continuity ensures that the function behaves in a predictable and consistent manner, making it easier to analyze and work with in mathematical applications. It also allows for the use of important theorems and techniques, such as the Intermediate Value Theorem and the Mean Value Theorem.

5. Can you provide an example of a function that is not uniformly continuous?

Yes, an example of a function that is not uniformly continuous is f(x) = 1/x, as it does not satisfy the epsilon-delta definition of uniform continuity. This can be seen by choosing a small enough epsilon, for example 0.1, and then trying to find a delta that satisfies the definition for all points on the function. It is not possible to find a single delta that works for all points, as the change in output value can vary significantly depending on the specific input value chosen.

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