Composition by the Cube Root is Smooth

In summary: Therefore, $g$ is smooth. In summary, we have shown that $g$ is smooth if and only if $f^{(n)}(0)=0$ whenever $n$ is not an integral multiple of $3$.
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caffeinemachine
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Let $f:\mathbf R\to \mathbf R$ be a smooth map and $g:\mathbf R\to \mathbf R$ be defined as $g(x)=f(x^{1/3})$ for all $x\in \mathbf R$.

Problem. Then $g$ is smooth if and only if $f^{(n)}(0)$ is $0$ whenever $n$ is not an integral multiple of $3$.

One direction is easy. Assume $g$ is smooth. Then we have $f(x)=g(x^3)$ for all $x$. Differentiating and using the chain rule gives that the required derivatives of $f$ vanish.

I am struggling with the converse. Assume $f^{(n)}(0)=0$ whenever $n$ is not an integral multiple of $3$. We need to show that $g$ is smooth. Since $x^{1/3}$ is smooth at all points except $x=0$, we see that $g$ too is so. So the only problem is at $0$. I am only able to show that the first derivative of $g$ at $0$ exists. Here is what I have done.

Let $x>0$ be arbitrary. By Taylor we know that
$$f(x)= f(0)+f'(0)x+ \frac{f''(0)}{2}x^2+ \frac{f''(\lambda_x x)}{6}x^3$$
for some $0<\lambda_x<1$.

This gives by hypothesis that
$$f(x) - f(0) = \frac{f''(\lambda_x x)}{6}x^3$$
Thus
$$g(x)-g(0)=\frac{f'''(\lambda_{x^{1/3}} x^{1/3})}{6} x$$
and therefore
$$\frac{g(x)-g(0)}{x}=\frac{f'''(\lambda_{x^{1/3}} x^{1/3})}{6}$$
Since $\lim_{x\to 0}f'''(\lambda_{x^{1/3}} x^{1/3}))$ exists, we see that $g'(0)$ exists.

But I am not able to extend this argument to show that $g''(0)$ etc. also exist.
 
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To show that $g''(0)$ exists, we can use the same argument as before. We know that $f''(x)$ exists for all $x\in \mathbf{R}$, so we can write
$$f(x)=f(0)+f'(0)x + \frac{f''(0)}{2}x^2 + \frac{f'''(0)}{6}x^3 + \frac{f^{(4)}(\lambda_x x)}{24}x^4$$
for some $0<\lambda_x<1$. Plugging this into the definition of $g(x)$, we get
$$g(x) = g(0) + \frac{f''(0)}{2}x + \frac{f'''(0)}{6}x^2 + \frac{f^{(4)}(\lambda_x x)}{24}x^3$$
Using the fact that $f^{(n)}(0)=0$ for all $n$ not divisible by $3$, we can see that the first three terms are equal to $0$ at $x=0$. Then, using the fact that $\lim_{x\to 0}f^{(4)}(\lambda_x x)$ exists, we can conclude that $g''(0)$ exists.

We can continue this process for higher derivatives as well. For example, to show that $g^{(3)}(0)$ exists, we can use the same argument as before, but with $n=6$ in the Taylor expansion of $f(x)$. This will give us
$$g(x) = g(0) + \frac{f^{(6)}(\lambda_x x)}{120}x^5$$
Using the fact that $f^{(n)}(0)=0$ for all $n$ not divisible by $3$, we can see that the first term is equal to $0$ at $x=0$. Then, using the fact that $\lim_{x\to 0}f^{(6)}(\lambda_x x)$ exists, we can conclude that $g^{(3)}(0)$ exists.

We can continue this process for all higher derivatives, using the fact that $f^{(n)}(0)=0$ for all $n$ not divisible by $3$ and the existence of
 

FAQ: Composition by the Cube Root is Smooth

What does it mean for a composition by the cube root to be smooth?

When we say a composition by the cube root is smooth, it means that the function we are looking at can be broken down into smaller components, and when we take the cube root of each component and put them back together, the resulting function is continuous and differentiable.

Why is it important to study compositions by the cube root?

Studying compositions by the cube root is important because it helps us understand the behavior of functions that can be broken down into smaller components. This is a common technique used in many areas of mathematics and science, such as in calculus, differential equations, and physics.

What are some real-life examples of compositions by the cube root?

One example of a composition by the cube root is the calculation of the volume of a cube. We can break the volume down into the length, width, and height, each cubed, and then take the cube root of the resulting function. Another example is in finance, where we use the cube root to calculate compound interest.

How do we know if a composition by the cube root is smooth?

To determine if a composition by the cube root is smooth, we need to check if the individual components of the function are continuous and differentiable. If they are, then the resulting function will also be continuous and differentiable, making it smooth.

Are there any limitations to using compositions by the cube root?

One limitation of using compositions by the cube root is that not all functions can be broken down into smaller components and still maintain smoothness. Some functions may have "breakpoints" where the composition breaks down, leading to discontinuities and non-differentiable points. Additionally, compositions by the cube root may not be applicable to all real-world situations, and other techniques may be more suitable.

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