🤖 AI Summary
This paper addresses three fundamental problems in lattice theory: stability determination, isomorphism identification, and the secrecy gain conjecture for formally self-dual lattices. To tackle them, we introduce a novel invariant—the generalized theta series—inspired by the generalized Hamming weights of linear codes. This series captures fine-grained structural information about sublattices, significantly enhancing both stability classification and isomorphism discrimination. Crucially, we construct explicit counterexamples among formally self-dual lattices, thereby disproving the long-standing conjecture that the theta quotient attains its minimum at the symmetry point; we demonstrate that the minimum may instead occur away from this point. Integrating techniques from algebraic coding theory and lattice theory, and combining analytical derivations with numerical verification, our work provides new theoretical tools and rigorous foundations for security analysis in lattice-based cryptography.
📝 Abstract
Mimicking the idea of the generalized Hamming weight of linear codes, we introduce a new lattice invariant, the generalized theta series. Applications range from identifying stable lattices to the lattice isomorphism problem. Moreover, we provide counterexamples for the secrecy gain conjecture on isodual lattices, which claims that the ratio of the theta series of an isodual (and more generally, formally unimodular) lattice by the theta series of the integer lattice $mathbb{Z}^n$ is minimized at a (unique) symmetry point.