Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 43 min ago
PreprintarXiv licencearXiv

Mathematical foundation of symmetric fast Fourier transform

Abstract

In this work, we study the fast Fourier transform (FFT) of discrete data with crystallographic symmetry, for which standard FFT algorithms incur substantial redundant computation. We establish a rigorous mathematical theory of the symmetric fast Fourier transform (SFFT) for n-dimensional crystallographic groups and propose the SFFT and symmetric inverse fast Fourier transform (SIFFT) algorithms. We derive symmetry-reduction formulas for both linear and translational symmetries and unify them into a recursive framework. We analyze the arithmetic complexity to obtain theoretical speedup factors relative to the standard FFT, and we confirm the accuracy and efficiency of the proposed methods by numerical experiments on representative three-dimensional space groups.

Related

  1. Quantum Fourier transform for the symmetric group
    Carli Bruinsma, Dmitry Grinko, Maris Ozols
    arXivPreprintarXiv licenceFull textAlgebra & number theoryQuantum physics & quantum informationarXiv
  2. The next Fourier transform: rewiring, representation, and artificial mathematical creativity
    Luca Fanelli
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. The quantum connection, Fourier-Laplace transform, and families of A∞ -categories
    Daniel Pomerleano, Paul Seidel
    Inventiones mathematicaePeer-reviewedLicence not statedFull text17 citedGeometry & topologyOpenAlex
  4. FASS: Discrete Fourier Transform Adapters for Speech Separation With Incremental Learning
    Ziye Yang, Xiang Song, Min Zhao +3
    IEEE Transactions on Audio, Speech and Language ProcessingPeer-reviewedPublisher termsFull textStatisticsHAL
  5. A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints
    Efstathios Panagou, Fady Mohareb, Anthoula Argyri +2
    Food MicrobiologyPeer-reviewedLicence not statedFull text76 citedGeneral biologyStatisticsHAL
BibTeX
@misc{hou2026mathematical,
  title = {{Mathematical foundation of symmetric fast Fourier transform}},
  author = {Weifeng Hou and Kai Jiang and Jingfei Tang},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.11972},
  eprint = {2610.11972},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.11972},
}
RIS
TY  - UNPB
TI  - Mathematical foundation of symmetric fast Fourier transform
AU  - Weifeng Hou
AU  - Kai Jiang
AU  - Jingfei Tang
PY  - 2026
DA  - 2026/10/08
PB  - arXiv
DO  - 10.48550/arxiv.2610.11972
UR  - https://arxiv.org/abs/2610.11972
AB  - In this work, we study the fast Fourier transform (FFT) of discrete data with crystallographic symmetry, for which standard FFT algorithms incur substantial redundant computation. We establish a rigorous mathematical theory of the symmetric fast Fourier transform (SFFT) for n-dimensional crystallographic groups and propose the SFFT and symmetric inverse fast Fourier transform (SIFFT) algorithms. We derive symmetry-reduction formulas for both linear and translational symmetries and unify them into a recursive framework. We analyze the arithmetic complexity to obtain theoretical speedup factors relative to the standard FFT, and we confirm the accuracy and efficiency of the proposed methods by numerical experiments on representative three-dimensional space groups.
ER  -