Fourier-Transformation of Operator I have an operator $\hat{L}$ which gives
$$\hat{L} f(x) = \lambda \cdot f(x)$$
where $\lambda$ is the eigenvalue.
Now I Fourier-Transform my function $f(x)$:
$$\mathcal{F}(f)(p) = g(p)$$
Question: How do I transform my operator $\hat{L}$ such that it gives the same eigenvalues $\lambda$ when I apply it to $g(p)$?
Example:
Let's consider the special-case $f(x)=x^m$ and $\hat{L}=x\cdot \partial_x$. Therefore we have
$$\hat{L} f(x) = m \cdot f(x)$$
Now the Fourier-Transformation
$$\mathcal{F}(f)(p) = g(p) = (-i)^m \sqrt{2\pi} \delta^{(m)}(p)$$
How does my Operator $\hat{L'}$ look like, such that
$$\hat{L'} g(p) = m \cdot g(p)$$
Thanks for help!
 A: The Fourier transform is a unitary operator on your space. This means that its transpose is its inverse, $\mathcal F ^* = \mathcal F^{-1}$. The typical thing to do is to replace $T$ with $\mathcal F T \mathcal F^*$. Observe that with this convention, you have 
$$
(\mathcal F T \mathcal F^*)\hat f=(\mathcal F T \mathcal F^*)\mathcal F f=\mathcal F Tf=\lambda\mathcal Ff=\lambda\hat f
$$
provided that $f$ is an eigenfunction for $T$ with eigenvalue $\lambda$.
Edit: The Fourier transform interchanges the role of differentiation and multiplication by $x$. If I recall correctly, $-i\partial_x \mathcal F f=\mathcal F (-x f)$ and $x\mathcal F f=\mathcal F (-i\partial_x f)$, which means that in your example,
$$
\mathcal F^* x\partial_x\mathcal F f=\mathcal F^* x\mathcal F (-i x f)=\mathcal F^* \mathcal F (-\partial_x (x f))=-\partial_x (x f),
$$
that is, $\mathcal F^* x\partial_x\mathcal F=-\partial_x x$.
A: For clarity I will use a slightly different notation. Starting from $L_xf(x)=\lambda f(x)$ is there an operator $L_p$ such that $L_p \hat{f}(p)=\lambda \hat{f}(p)$ ($\hat{f}(p)$ is the Fourier transform of $f(x)$) ? The particular example is $f(x)=x^m$ and $L_x = x\partial_x$. In this case $\hat{f}(p)=(-i)^m\sqrt{2\pi}\delta^{(m)}(p)$.
First a word of warning: Care has to be exercised when manipulating Fourier transform, in particular when reversing the order of operations. An excellent textbook which explains such things is Robert Strichartz: A Guide to Distribution Theory and Fourier Transforms.
   From the observation that $${\cal F}[xf(x)](p) = -i\partial_p\hat{f}(p)$$ and $${\cal F}[\partial_x f(x)](p) = -ip\hat{f}(p),$$ we are led to propose that for this particular example $$L_p=-\partial_p p,$$ hence $$L_p\hat{f}(p)=-\hat{f}(p)-p\hat{f}^{(1)}(p).$$ Let us now investigate if $L_p \hat{f}(p)=\lambda \hat{f}(p)$ holds. We start with the right-hand side. Since the Fourier transform of $x^m$ is given as the multiple derivative of a Dirac delta function, it is clear that we shall have to work with distributions. I will use the short-hand notation $$<f,\varphi>=\int_{-\infty}^{\infty} f(p)\varphi(p)dp,$$ where $\varphi$ is a suitable test function, notably allowing for integration by parts with vanishing boundary terms. This leads to the formula $$<\delta^{(m)},\varphi>=(-1)^m<\delta,\varphi^{(m)}>=\varphi^{(m)}(0).$$ We can therefore evaluate the right-hand term as follows: $$\lambda<\hat{f},\varphi>=m(-i)^m\sqrt{2\pi}<\delta^{(m)},\varphi>=mi^m\sqrt{2\pi}<\delta,\varphi^{(m)}>.$$ For the first term on the left-hand side we get $$<-\hat{f},\varphi>=-(-i)^m\sqrt{2\pi}<\delta^{(m)},\varphi>=-i^m\sqrt{2\pi}<\delta,\varphi^{(m)}>.$$ For the second term on the left-hand side we get $$<-p\hat{f}^{(1)},\varphi>=-(-i)^m\sqrt{2\pi}<\delta^{(m+1)},p\varphi>=i^m\sqrt{2\pi}<\delta,(p\varphi)^{(m+1)}>.$$ In order to calculate the derivative on the right we use the general Leibniz rule $$(fg)^n=\sum_{k=0}^n \binom{n}{k}f^{(n-k)}g^{(k)}.$$ In our case the expansion will truncate after two terms: $$(\varphi p)^{(m+1)}=\binom{m+1}{0}\varphi^{(m+1)}p+\binom{m+1}{1}\varphi^{(m)}=\varphi^{(m+1)}p+(m+1)\varphi^{(m)}.$$ For the second left-hand term we therefore get $$<-p\hat{f}^{(1)},\varphi>=i^m\sqrt{2\pi}\left(<\delta,\varphi^{(m+1)}p>+(m+1)<\delta,\varphi^{(m)}>\right).$$ However, $<\delta,\varphi^{(m+1)}p>=0$, so after combining terms we obtain $$<-\partial_p p \hat{f},\varphi>=mi^m\sqrt{2\pi}<\delta,\varphi^{(m)}>,$$ which is in fact identical to the right-hand term, so the relation $L_p \hat{f}(p)=\lambda \hat{f}(p)$ holds.
