SVP Is NP-Hard for Some Rank-2 Cyclotomic Modules
cs.CC, cs.CR
Submitted: 2026-09-01
Updated: 2026-09-01
License: http://creativecommons.org/licenses/by/4.0/
The gist: Let q range over primes congruent to 3 modulo 4.
Terminology
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= Q(ζ q), with ring of integers O K= Z[ζ q]. We prove that the decision version of the Shortest Vector Problem (SVP) in the 2-norm is NP-complete on full-rank free submodules of O K squared by a deterministic polynomial-time many-one reduction from Exact Cover by 3-Sets (X3C). The module rank is fixed at two. As a Z-lattice, the module has rank 2(q-1), which grows with q. The main obstacle is closure under the action of O K. A module containing a nonzero vector also contains every scalar multiple of that vector by a nonzero element of 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 O K-action. Each constructed instance consists of a prime q 3 4, two integral generators whose 2 times2 generator matrix has nonzero determinant, and an integer squared threshold. The construction also gives NP-hardness of search- SVP under polynomial-time Turing reductions.
Sources
- Module lattices and their shortest vectors
- Deterministic Hardness of Approximation For SVP in all Finite $\ell_p$ Norms
- Euclidean SVP is deterministically NP-hard to approximate within any constant factor
- NP-hardness of SVP in Euclidean Space
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