Studying introductory harmonic analysis, I hit upon the following question:
Let $f\in L^1(\mathbb{R})$. Define $E_f=\overline{\text{span}}\{f_y\}_{y\in\mathbb{R}}$.
- Assume $k \in L^1(\mathbb{R})$ is compactly supported. show $k*f \in E_f$.
- Show the condition on $k$ is not necessary.
- Show $\{f_y\}_{y\in \mathbb{R}}$ is complete in $L^1(\mathbb{R})$ iff $\widehat{f}(x) \ne 0 $ for all $x\in \mathbb{R}$.
1 easily implies 2, as for any $k\in L^1(\mathbb{R})$ the sequence $k_N = k\cdot {1}_{[-N,N]}$ converges to $k$, and $f*k_N \in E_f$.
I cannot work out $1$. Have tried using simple functions for both $f$ and $k$, have tried to show it for $k= 1_K$ but no luck. I noticed the image of $E_f$ under $\widehat{(\cdot)}$ operator is $\overline{\text{span}}\{e^{iy(\cdot)}\widehat{f}(\cdot)\}_{y\in\mathbb{R}}$, and $\widehat{k*f}=\widehat{k}\cdot\hat{f}$. So, in a way, it is ``enough'' to show $\widehat{k}$ can be approximated by such exponents. The problem is, I do not understand how such approximation coudl help. Inverting the transform is not possible.
As for 3, I cannot work both directions. If we assume $\widehat{f} \ne 0 $, the obvious approach would be to solve the following: for any $g\in L^1$, find $k\in L^1$ s.t: $$g = f*k$$ this happens iff $\widehat{k} = \widehat{g}/ \hat{f}$ but can such $k$ be guaranteed?
You need a lemma: translation is continuous in $L^1$, meaning for every $\epsilon>0$ there exists $\delta>0$ such that $\|f-f_y\|_1 <\epsilon$ when $|y|<\delta$. Notice that this also implies $\|f_y-f_z\|_1<\epsilon$ when $|y-z|<\delta$.
So, if $k$ is a characteristic function $\chi_{[a,b]}$ of an interval $[a,b]$ of length less that $\delta$, then $$ \|f*k - (b-a)f_a\|_1 = \left\|\int_a^b (f_y -f_a)\,dy \right\|_1 < \epsilon(b-a) \tag{1} $$
Next consider $k=\chi_{[a,b]}$ with arbitrary $a,b$. Partition $[a,b]$ into subintervals of length $<\delta$ and use (1) to conclude that $$ \left\|f * k - \frac{b-a}{n} \sum f_{y_j}\right\|_1 < \epsilon(b-a) \tag2 $$ where $y_j$ is a point of the $j$th subinterval. Since $\epsilon$ is arbitrary, (2) shows $f*k\in E_f$.
By linearity, we get the same when $k$ is a step function. By density (since $E_f$ is closed) the same holds for arbitrary $k\in L^1$. Indeed, if $k$ can be approximated by some $k_j$ in $L^1$ norm, then $$\|f*k-f*k_j\|_1 \le \|f\|_1 \|k-k_j\|_1\to 0\tag3 $$
Completeness
The Fourier transform is a continuous map from $L^1$ to $C_0$ (continuous functions that tend to $0$ at infinity, with uniform norm). If $\hat f(\xi)=0$, then $\hat f_y(\xi)=0$ for all $y$, since translation becomes modulation on the Fourier side. By the aforementioned continuity of the Fourier transform, we get $\hat g(\xi)=0$ for all $g\in E_f$. But there are $L^1$ functions, like the Gaussian, whose Fourier transform is everywhere nonzero; so they are not in $E_f$, so $E_f\ne L^1$.
The converse, $\hat f\ne 0\implies E_f = L^1$, is much deeper; that's Wiener's Tauberian theorem for $L^1$. I don't think it's fair to assign it as an exercise... Wiener's paper was 100 pages in Annals of Mathematics...