Proving Holder Continuity for Composite Functions

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In summary, the author is trying to use a product to establish a condition, and it is not clear to me how this relates to u^\gamma.
  • #1
rsq_a
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I'd like to show that functions like [tex]x^a[/tex] with [tex]a > 0[/tex] satisfy the Holder condition on an interval like [0, 1]. That is to say that for any x and y in that interval, then for example,

[tex]|x^{\frac{1}{2}} - y^{\frac{1}{2}}| \leq C|x-y|^k[/tex]

for some constants C and k.

What is the trick to proving these sorts of things? For Lipschitz continuity, I remember the trick of using mean value theorems with triangle inequalities. And this this?

I'd appreciate some help. It's been a while since I've done analysis.
 
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  • #2
Well for the specific example you chose with a = 1/2, it's fairly simple. The trick is to realize that
[tex]|x^{\frac{1}{2}} - y^{\frac{1}{2}}| \leq |x^{\frac{1}{2}} + y^{\frac{1}{2}}|.[/tex]
One way to prove this is to use the fact that |x| = sqrt(x^2) to reduce the inequality to something that is evidently true while ensuring that all of your steps are reversible. Upon multiplying both sides of the inequality by
[tex]|x^{\frac{1}{2}} - y^{\frac{1}{2}}|[/tex]
and taking square roots, we get the desired Holder condition with C = 1, k = 1/2.

It should be possible to solve the general problem with more work, but I haven't given it too much thought.
 
  • #3
snipez90 said:
Well for the specific example you chose with a = 1/2, it's fairly simple. The trick is to realize that
[tex]|x^{\frac{1}{2}} - y^{\frac{1}{2}}| \leq |x^{\frac{1}{2}} + y^{\frac{1}{2}}|.[/tex]
One way to prove this is to use the fact that |x| = sqrt(x^2) to reduce the inequality to something that is evidently true while ensuring that all of your steps are reversible. Upon multiplying both sides of the inequality by
[tex]|x^{\frac{1}{2}} - y^{\frac{1}{2}}|[/tex]
and taking square roots, we get the desired Holder condition with C = 1, k = 1/2.

It should be possible to solve the general problem with more work, but I haven't given it too much thought.

Thank you. This helped me.

For the general problem, it seems that the trick (after perusing this), is to first establish the property that if [itex]f[/itex] and [itex]g[/itex] are Holder continuous and bounded, then so is their product. Then, instead of looking at [itex]f(x) = x^\gamma[/itex], you can look at x to the power of floors and ceilings of [itex]\gamma[/itex], which allows you to expand brackets and so on.

There are a couple things I don't understand about the proof on that post. The author tries to establish that if [itex]u(x)[/itex] is Holder continuous, then so is [itex]u^\gamma[/itex] for [itex]\gamma>0[/itex] initially. However, he states that since [itex]\gamma \in \mathbb{R}[/itex], then it is sufficient to assume [itex]u(x)[/itex] is bounded away from zero. I don't understand this. Clearly [itex]u^{1/2}[/itex] on [0, 1] is totally different from [itex]u^{1/2}[/itex] on [1, 2]!

Another thing I don't understand is the line right above the line, "we claim that [itex]u^\gamma[/itex] is [itex]\alpha[/itex]-Hölder continuous."

It seems that he is using the product

[tex]u^{\lfloor\gamma\rfloor}u^{\lceil\gamma\rceil}[/tex],

but its relation to [itex]u^\gamma[/itex] is unclear to me.
 
  • #4
rsq_a said:
There are a couple things I don't understand about the proof on that post. The author tries to establish that if [itex]u(x)[/itex] is Holder continuous, then so is [itex]u^\gamma[/itex] for [itex]\gamma>0[/itex] initially. However, he states that since [itex]\gamma \in \mathbb{R}[/itex], then it is sufficient to assume [itex]u(x)[/itex] is bounded away from zero. I don't understand this. Clearly [itex]u^{1/2}[/itex] on [0, 1] is totally different from [itex]u^{1/2}[/itex] on [1, 2]!

Another thing I don't understand is the line right above the line, "we claim that [itex]u^\gamma[/itex] is [itex]\alpha[/itex]-Hölder continuous."

It seems that he is using the product

[tex]u^{\lfloor\gamma\rfloor}u^{\lceil\gamma\rceil}[/tex],

but its relation to [itex]u^\gamma[/itex] is unclear to me.

According the theorem in that post, the result is limited to the case when the function [itex]u[/itex] is bounded and bounded away from zero.
 
  • #5
Concerning to "we claim that [tex]u^\gamma[/tex] is [tex]\alpha[/tex]-Hölder continuous", this comes from the definition and the fact that the LHS of the inequality on the line right above is finite.

The key point here is to deal with [tex]f \circ g[/tex], like

[tex]u(x)^\alpha = f(u(x))[/tex] with [tex]f(t) =t^\alpha[/tex].
 

FAQ: Proving Holder Continuity for Composite Functions

What is Holder continuity?

Holder continuity is a mathematical concept used to describe the smoothness of a function. It measures how closely a function's output values change as its input values change. A function is considered Holder continuous if its output values change in a consistent and predictable manner as its input values change.

How is Holder continuity different from other types of continuity?

Holder continuity is a generalization of other types of continuity, such as uniform continuity and Lipschitz continuity. Unlike uniform continuity, which requires the function to be bounded, and Lipschitz continuity, which requires the function to have a constant rate of change, Holder continuity allows for a more gradual change in the function's output values.

How is Holder continuity proven?

To prove that a function is Holder continuous, we must show that there exists a constant C and an exponent p > 0 such that for any two points x and y in the function's domain, the absolute value of the difference between their corresponding output values is less than or equal to C * |x - y|^p. This can be done using mathematical techniques such as the Mean Value Theorem and the Cauchy-Schwarz inequality.

What are some real-world applications of Holder continuity?

Holder continuity is used in various fields of science and engineering, such as signal processing, image analysis, and numerical analysis. It is particularly useful in modeling and analyzing physical phenomena that exhibit smooth and gradual changes, such as sound waves and fluid flow.

Can a function be Holder continuous but not continuous?

No, a function cannot be Holder continuous without also being continuous. Holder continuity is a stronger condition than continuity, as it places additional constraints on the function's rate of change. Therefore, if a function is Holder continuous, it must also be continuous.

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