SVP Is NP-Hard for Some Rank-2 Cyclotomic Modules

📅 2026-09-01
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本文证明了在特定环上,二维全秩自由子模中的最短向量问题(SVP)是NP完全的,并通过多项式时间归约克服了环作用带来的障碍。
📝 Abstract
Let $q$ range over primes congruent to $3$ modulo $4$. Let $ζ_q$ be a primitive $q$th root of unity, and put $K=\mathbb{Q}(ζ_q)$, with ring of integers $\mathcal{O}_K=\mathbb{Z}[ζ_q]$. We prove that the decision version of the Shortest Vector Problem ($\mathrm{SVP}$) in the $\ell_2$-norm is $\mathrm{NP}$-complete on full-rank free submodules of $\mathcal{O}_K^2$ by a deterministic polynomial-time many-one reduction from Exact Cover by 3-Sets (X3C). The module rank is fixed at two. As a $\mathbb{Z}$-lattice, the module has rank $2(q-1)$, which grows with $q$. The main obstacle is closure under the action of $\mathcal{O}_K$. A module containing a nonzero vector also contains every scalar multiple of that vector by a nonzero element of $\mathcal{O}_K$, and some of these multiples may be shorter. Three ideas overcome this obstacle. First, we map the Bennett--Peikert Reed--Solomon lattice to a principal cyclotomic ideal and use Wan's point-count estimates to prove that a coset of this ideal contains many binary coefficient representatives. Second, a checker based on a quadratic Gauss sum turns the X3C equations into a canonical squared norm. Third, the checker and a second module coordinate combine with a separation bound for ideal cosets to rule out every unintended vector created by the $\mathcal{O}_K$-action. Each constructed instance consists of a prime $q\equiv3\pmod4$, two integral generators whose $2\times2$ generator matrix has nonzero determinant, and an integer squared threshold. The construction also gives $\mathrm{NP}$-hardness of search-$\mathrm{SVP}$ under polynomial-time Turing reductions.
Problem

Research questions and friction points this paper is trying to address.

SVP
NP-hard
Cyclotomic modules
Rank-2
Innovation

Methods, ideas, or system contributions that make the work stand out.

Shortest Vector Problem
NP-hardness
cyclotomic modules
Reed-Solomon lattice
Gauss sum
J
Jiaqi Liu
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Beijing, China
Yansong Feng
Yansong Feng
Peking University
Natural Language ProcessingPattern Recognition
Y
Yanbin Pan
State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Beijing, China