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An upper bound on $\ell_q$ norms of noisy functions
Alex Samorodnitsky · 2018-09-26 · via cs.IT updates on arXiv.org

Let $T_ε$ be the noise operator acting on functions on the boolean cube $\{0,1\}^n$. Let $f$ be a nonnegative function on $\{0,1\}^n$ and let $q \ge 1$. We upper bound the $\ell_q$ norm of $T_ε f$ by the average $\ell_q$ norm of conditional expectations of $f$, given sets of roughly $(1-2ε)^{r(q)} \cdot n$ variables, where $r$ is an explicitly defined function of $q$. We describe some applications for error-correcting codes and for matroids. In particular, we derive an upper bound on the weight distribution of duals of BEC-capacity achieving binary linear codes. This improves the known bounds on the linear-weight components of the weight distribution of constant rate binary Reed-Muller codes for almost all rates.