I have been reading some notes on spectral theorem for unbounded operator on Hilbert spaces and my toy example is the Laplacian on $\mathbb{R}^d$. The author says that as an "application" one can define the spectral projector of the operator. For the Laplacian on $\mathbb{R}^d$ the spectral projector is $$ \chi_{[0, a]}(-\Delta)$$ where $\chi_A$ denotes the characteristic function of a set $A$, subset of the its spectrum, i.e. of $[0,\infty)$.
Then, I saw the claim $$\chi_{[0, a]}(-\Delta): L^2(\mathbb{R}^d)\rightarrow E_a$$ where $E_a$ is the subspace of all $L^2(\mathbb{R}^d)$-functions with Fourier Transform supported in $[-a,a]^d$.
I am trying to figure out now what $\chi_{[0, a]}(-\Delta) f$ for any $L^2$-function $f$ is but I am lost. Can anybody explain me that?
I understand that in some sense the spectral projector gets rid of all the eigenvalues bigger than $a$, but what this has to do with Fourier Transform? Any help is welcome.