Does dividing a function by a smooth function result in a smooth function?

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tronter
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If [tex] f \cdot f [/tex] and [tex] f \cdot f \cdot f [/tex] is smooth, does it follow that [tex] f [/tex] is smooth?

So does [tex] f \cdot f \in C^{\infty} \ \text{and} \ f \cdot f \cdot f \in C^{\infty} \Rightarrow f \in C^{\infty} [/tex]?

Maybe we could generalize a bit more: Given that [tex] f^{n} , f^{n-1} \in C^{\infty} [/tex] does it follow that [tex] f \in C^{\infty} [/tex] (where [tex] f^n [/tex] is the function raised to some power [tex] n [/tex])?
 
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Well, what does dividing tell you?
 
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First, it is important to clarify what is meant by a "smooth function". In mathematics, a smooth function is one that has derivatives of all orders, meaning it is infinitely differentiable. This is denoted by the notation $C^{\infty}$.

Now, to answer the question, dividing a function by a smooth function does not necessarily result in a smooth function. This can be seen by considering the function $f(x) = \frac{1}{x}$. This function is not smooth at $x=0$ because it is not defined there. However, if we divide it by a smooth function, say $g(x) = x^2$, the resulting function $h(x) = \frac{1}{x^3}$ is still not smooth at $x=0$.

In general, dividing a function by a smooth function may result in a function that is smoother than the original, but it does not guarantee that it will be smooth.

As for the second part of the question, if $f^n$ and $f^{n-1}$ are both smooth, it does not necessarily follow that $f$ is also smooth. This can be seen by considering the function $f(x) = |x|$. This function is smooth for all $x \neq 0$, but it is not differentiable at $x=0$.

In conclusion, dividing a function by a smooth function does not always result in a smooth function, and having a certain number of smooth functions raised to different powers does not guarantee that the original function is also smooth. It ultimately depends on the specific functions involved and their properties.
 

1. What does it mean for a function to be "smooth"?

Smoothness of a function refers to how "regular" the graph of the function appears. A smooth function has a continuous and non-jagged graph that is free of sudden changes in direction or sharp corners.

2. How is the smoothness of a function measured?

The smoothness of a function is typically measured by its derivatives. A function with higher derivatives that are continuous and do not change rapidly is considered to be smoother than a function with rapidly changing derivatives.

3. Why is smoothness important in mathematics?

Smoothness is important in mathematics because it allows us to model real-world phenomena and make predictions with a high level of accuracy. Smooth functions are also easier to work with mathematically, making it easier to analyze and solve problems using them.

4. Can a function be smooth everywhere?

No, a function cannot be smooth everywhere. A function can be smooth on certain intervals or regions, but it may have discontinuities or sharp changes in other areas. For example, a function may be smooth on the interval (0,1) but have a discontinuity at x=1.

5. How can the smoothness of a function be improved?

The smoothness of a function can be improved by increasing the degree of the function, using techniques such as curve fitting or interpolation, or by using differentiable functions to approximate the original function. In some cases, smoothing techniques can also be applied to remove noise or other irregularities from the function.

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