If the Fourier transform of $f(t)$ is $F(f)$, can you conclude that the Fourier transform of $\sqrt{f(t)}$ is $\sqrt{F(f)}$?
Probably this is not always the case, but what are the cases in which this is true?
If the Fourier transform of $f(t)$ is $F(f)$, can you conclude that the Fourier transform of $\sqrt{f(t)}$ is $\sqrt{F(f)}$?
Probably this is not always the case, but what are the cases in which this is true?
On
Interesting question. The first thing we can remark is that if it is true then $f$ and $\hat f$ are nonnegative.
Here is already a partial answer.
Assuming that $f$ is integrable (I.e. $\sqrt f$ is in $L^2$), we also get by Plancherel, $f(0) = \int \hat f = \int f = \hat f(0)$, and $\hat f(x) \leq \int f = \hat f(0)$, so the maximum of $\hat f$ is $\hat f(0)$ and the same for $f$. Without loss of generality, we can assume $f(0) =1$.
Let $g = \sqrt f$. Remark that the maximum of $g$ is also $g(0) = \sqrt f(0) =1$ and the same for $\hat g$, so that $0\leq \hat g\leq 1$ and $\int g =1$. Therefore $g-g^2$ is a nonnegative function verifying $$ \int g^2 - g = 1- 1 = 0 $$ So that $g^2=g$. Therefore, $g = \mathbb{1}_A$ is the indicator function of some set $A$. And the same result holds for $\hat g$. But since $g$ is integrable, $\hat g$ should be continuous and go to $0$ at infinity. This is impossible.
Therefore, $f$ cannot be an integrable function, and cannot be continuous near $0$.
If $f$ is not locally integrable, then it is a more general tempered distribution for which $\sqrt f$ does not have a clear meaning.
It remains to check the cases when $f\in L^1_{\mathrm{loc}}$ and $\hat f$ also, but none of them is in $L^1$.
Counterexample: Let $f=\chi_{[-1,1]}.$ Then $F(f)(x)=2(\sin x)/x$. But here $\sqrt f =f.$ If the result held, you'd have
$$\sqrt {2(\sin x)/x} = 2(\sin x)/x$$
for all $x,$ contradiction.