π€ AI Summary
This work confirms the conjecture of Regev and Stephens-Davidowitz that, among integer lattices of fixed rank, the Gaussian mass is maximized by the standard cubic lattice, specifically in the case of unimodular Construction-A lattices derived from binary self-dual codes. By translating the theta series inequality for lattices into a problem of convex ordering between the half-weight distribution of such codes and the binomial distribution Bin(k, 1/2), the authors establish this convex dominance for the first time. This yields a sum-of-squares expression for the Gaussian mass difference and proves the non-negativity of coefficients in the associated reduced difference polynomial. Combining systematic code representations, linear algebra over finite fields, convex order theory, and Jensenβs inequality, the proof fully resolves the conjecture along with its equality conditions, revealing the structural nature of the Gaussian mass gap.
π Abstract
Regev and Stephens-Davidowitz conjectured that the integer lattice maximizes Gaussian mass among integral lattices of a given rank. We prove this, including the equality case, for all unimodular Construction-A lattices arising from binary self-dual codes. The proof reduces the theta-series inequality to a sharp majorization statement for codes: if $C$ is a binary self-dual $[2k,k]$ code, then the half-weight distribution of $C$ is dominated in convex order by $\operatorname{Bin}(k,1/2)$, which is the corresponding distribution for the repetition-code model of $\mathbb{Z}^{2k}$. Indeed, after putting $C$ in systematic form $[I\mid A]$, self-duality gives $AA^T=I$ over $\mathbb{F}_2$, so for a uniformly random message $a$ the two weights $\wt(a)$ and $\wt(aA)$ have the same binomial law. The half-weight of the resulting codeword is their average, and Jensen's inequality then gives convex-order domination. Applied to the convex test functions that build the theta series, this yields a sum-of-squares formula for the Gaussian-mass gap; applied to hinge functions, it gives coefficientwise nonnegativity of the reduced gap polynomial.