Paper 2026/2028

Dimension Reduction for Theta Series of Ideal Lattices

Runkun Liu, Nankai University
Zhaoyang Liang, Nankai University
Dan Ding, Nankai University
Abstract

Theta series are fundamental functions that record lattice-vector lengths and connect lattice geometry with Gaussian quantities such as Gaussian mass and the smoothing parameter. For ideal lattices under the canonical embedding, arithmetic coordinates are generally coupled, making fixed-coset theta-series evaluation and related Gaussian computations difficult in high dimensions. We show that an explicit, verifiable relative-basis condition yields an exact factorization of each fixed-coset theta series into lower-dimensional factors. For each fixed coset, when n = ℓ n₀, its n-dimensional theta-series computation is replaced by ℓ independent computations in dimension n₀. Equivalently, the canonical Gram matrix is block diagonal in the relative coordinates, and the factorization holds for every Gaussian parameter without approximation or a smoothing assumption. We verify the condition for several cyclotomic and non-cyclotomic extensions and derive explicit formulas for representative cyclotomic families. The same factorization gives lower-dimensional identities for Gaussian masses, independent Gaussian sampling within a fixed coset, and smoothing-parameter equations. It reduces the dimension of each coset calculation, while the outer sum over the residue classes in I_q remains unchanged. Our implementation achieves speedups of up to 335×, 215.45×, and 7.9× for fixed-coset theta-series evaluation, numerical smoothing-parameter evaluation, and sequential Gaussian sampling, respectively.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
Theta seriesideal latticesdimension reductiondiscrete Gaussian samplingsmoothing parameter
Contact author(s)
liurunkun86 @ gmail com
liangzhaoyang @ mail nankai edu cn
dingdan @ nankai edu cn
History
2026-09-17: approved
2026-09-14: received
See all versions
Short URL
https://ia.cr/2026/2028
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/2028,
      author = {Runkun Liu and Zhaoyang Liang and Dan Ding},
      title = {Dimension Reduction for Theta Series of Ideal Lattices},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/2028},
      year = {2026},
      url = {https://eprint.iacr.org/2026/2028}
}
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