$\ell_1$ norm of Fourier coefficients vector for the hypercube Let $G$ be the normzlied hypercube graph on $2^d$. It is a Cayley graph and it is well known that its eigenvalues are given by $\lambda_r = 1-2\frac{|r|}{d}$ for every $r \in \{0,1\}^d$. 

Given a function $f:[-1,1] \rightarrow[0,1]$, we can define for every $a \in \{0,1\}^d$ the Fourier coefficient
$$\hat{h}_a = \sum_{r \in \{0,1\}^d}f\left(1-2\frac{|r|}{d}\right)(-1)^{\left&lt;r,a\right&gt;}$$
Now, let $v$ be the vector of size $2^d$ so that $v_i = \hat{h}_i$ for $i \in \{0,1\}^d$.

I am looking for an upper-bound on $\frac{1}{2^{d}}\|v\|_1$ in terms of $f$.

Thank you very much for your help.
The question is about the spectral norm of the symmetric function $h: \{0,1\}^n \to [-1,+1]$ defined as $h(x) = f(1-2|x|/d)$. (I have assumed range $[-1,+1]$ instead of $[0,1]$ which is wlog by appropriate rescaling.)

Ada, Fawzi and H. Hatami show that for any boolean $g: \{0,1\}^n \to \{-1, +1\}$, $$\log \|\hat{g}\|_1 = \Theta\left(r(g) \log\left(\frac{n}{r(g)}\right)\right)$$ where $r(g) = \max(r_0(g), r_1(g))$ and $r_0(g)$ and $r_1(g)$ are minimum integers such that $g$ is either constant or perfectly correlated with parity or anti-parity for $x$ with $|x| \in [r_0(g), n-r_1(g)]$. 

Now, look at the proof of Lemma 3.1 in the paper. Note that this straightforward argument also holds for functions $h$ mapping to $[-1,+1]$ instead of $\{-1,+1\}$. So, the same upperbound also holds for your case. This upperbound is tight at least for the boolean functions, but I don't know if there's a similar general lowerbound for non-boolean $h$.