A moment ratio bound for polynomials and some extremal properties of Krawchouk polynomials and Hamming spheres

TL;DR

This paper improves bounds on polynomial ratios on the boolean cube, revealing extremal properties of Krawchouk polynomials and Hamming spheres, with implications for isoperimetric inequalities and coding theory.

Contribution

It introduces a tighter bound for polynomial norms on the boolean cube and demonstrates nearly extremal properties of Krawchouk polynomials and Hamming spheres.

Findings

New explicit bound for polynomial ratios that is tighter than hypercontractivity

Krawchouk polynomials have nearly the heaviest tails among degree-s polynomials

Hamming spheres exhibit near-optimal edge-isoperimetric properties and stability under noise

Abstract

Let $p \ge 2$. We improve the bound $\frac{\|f\|_p}{\|f\|_2} \le (p-1)^{s/2}$ for a polynomial $f$ of degree $s$ on the boolean cube $\{0,1\}^n$, which comes from hypercontractivity, replacing the right hand side of this inequality by an explicit bivariate function of $p$ and $s$, which is smaller than $(p-1)^{s/2}$ for any $p > 2$ and $s > 0$. We show the new bound to be tight, within a smaller order factor, for the Krawchouk polynomial of degree $s$. This implies several nearly-extremal properties of Krawchouk polynomials and Hamming spheres (equivalently, Hamming balls). In particular, Krawchouk polynomials have (almost) the heaviest tails among all polynomials of the same degree and $\ell_2$ norm (this has to be interpreted with some care). The Hamming spheres have the following approximate edge-isoperimetric property: For all $1 \le s \le \frac{n}{2}$, and for all even distances $0 \le i \le \frac{2s(n-s)}{n}$, the Hamming sphere of radius $s$ contains, up to a multiplicative factor of $O(i)$, as many pairs of points at distance $i$ as possible, among sets of the same size (there is a similar, but slightly weaker and somewhat more complicated claim for general distances). This also implies that Hamming spheres are (almost) stablest with respect to noise among sets of the same size. In coding theory terms this means that a Hamming sphere (equivalently a Hamming ball) has the maximal probability of undetected error, among all binary codes of the same rate. We also describe a family of hypercontractive inequalities for functions on $\{0,1\}^n$, which improve on the `usual' "$q \rightarrow 2$" inequality by taking into account the concentration of a function (expressed as the ratio between its $\ell_r$ norms), and which are nearly tight for characteristic functions of Hamming spheres.